2024-03-29T07:38:51Zhttp://nur.nu.edu.kz/oai/requestoai:nur.nu.edu.kz:123456789/24192019-12-26T09:15:34Zcom_123456789_79com_123456789_67col_123456789_824
Akhmetova, Ainur
Khassenova, Assiya
2017-06-28T10:32:32Z
2017-06-28T10:32:32Z
2017
Akhmetova, Ainur, Khassenova, Assiya (2017) IDENTIFYING AND REMOVING BARRIERS TO INNOVATION IN BI GROUP. Nazarbayev University School of Engineering. Nazarbayev University Graduate School of Business.
http://nur.nu.edu.kz/handle/123456789/2419
To succeed in today’s fast changing world, companies specifically operating in a high knowledge-intensive industries must continuously innovate and improve. In this regard, firms worldwide are quickly raising their awareness of the significance of the role of knowledge management (KM) in the innovation process. Many successful companies have already achieved excellent results in the KM implementation, and thus have learnt how to bring innovation to their organizations. However, there is no universal approach to KM, and obviously any company first has to start with the exploring the obstacles to innovation.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
innovation
BI Group
IDENTIFYING AND REMOVING BARRIERS TO INNOVATION IN BI GROUP
Capstone Project
oai:nur.nu.edu.kz:123456789/24282019-12-26T09:14:27Zcom_123456789_79com_123456789_67col_123456789_824
Agibayeva, Aidana
Aldonggarova, Ardana
Kenzhebek, Aidar
Kulzhabek, Zhanbolat
Suleimen, Alisher
2017-06-29T06:20:59Z
2017-06-29T06:20:59Z
2017
Agibayeva, Aidana; Aldonggarova, Ardana; Kenzhebek, Aidar; Kulzhabek, Zhanbolat; Suleimen, Alisher (2017) DESIGN OF MULTI-STORY ACADEMIC BUILDING AT NAZARBAYEV UNIVERSITY, ASTANA, KAZAKHSTAN.Nazarbayev University School of Engineering, Department of Civil Engineering.
http://nur.nu.edu.kz/handle/123456789/2428
Nazarbayev University has experienced significant growth in the past few years and it is projected to increase in the future. Hence, the necessity of multi-story academic building at Nazarbayev University is high. This report includes the design of 9 story academic building with the total area of 16000 m2. Based on the literature review performed within the capstone I, architectural, structural and geotechnical designs were developed. Moreover, feasibility study and project management including cost estimations were determined.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Nazarbayev University
academic building
DESIGN OF MULTI-STORY ACADEMIC BUILDING AT NAZARBAYEV UNIVERSITY, ASTANA, KAZAKHSTAN
Capstone Project
oai:nur.nu.edu.kz:123456789/24292019-12-26T09:11:43Zcom_123456789_79com_123456789_67col_123456789_824
Salmenbayeva, Aiman
Abuova, Aizada
Bakirov, Ilyas
Yeskaliyeva, Moldir
Okpenov, Rollan
2017-06-29T06:35:12Z
2017-06-29T06:35:12Z
2017
Salmenbayeva, Aiman; Abuova, Aizada;Bakirov, Ilyas; Yeskaliyeva, Moldir; Okpenov, Rollan (2017) Design and planning for a major building project in Astana. Nazarbayev University, Graduate School of Engineering.
http://nur.nu.edu.kz/handle/123456789/2429
The current work presents an architectural, structural and geotechnical review of a four-star Hotel and Convention Center “Premium”, construction of which is strategically chosen to be conducted on the left bank of Ishim River in Astana. The structure is designed to accommodate 153 top-quality comfortable guest rooms, fitness center, conference hall, auditorium, restaurant and many other provisions. The building is projected to answer the world class requirements in terms of service level and comfort, in the meantime offering democratic prices. The territory under the main 12-story building is 30 by 30 meters, with the vast first floor occupying a territory of 50 by 60 meters beneath the main building. The hotel territory includes secure parking places and attractively landscaped environment. Architectural drawings were developed in accordance with Construction Norms and Rules of the Republic of Kazakhstan. The final part of the paper estimates the cost and feasibility of the project, presents a thorough WBS and construction activities. The hotel is planned to recover all the investment costs in eleven and a half years.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
planning building
design building project
Astana
Design and planning for a major building project in Astana
Capstone Project
oai:nur.nu.edu.kz:123456789/24312019-12-26T09:14:35Zcom_123456789_79com_123456789_67col_123456789_824
Kalibekov, Kaisar
Mamirov, Maxat
Mamirov, Miras
Yertay, Yerassyl
Zhamanbay, Akzhunis
2017-06-30T03:24:21Z
2017-06-30T03:24:21Z
2017
Kalibekov, Kaisar; Mamirov, Maxat;Mamirov, Miras;Yertay, Yerassyl; Zhamanbay, Akzhunis (2017) DESIGN STUDENT RESIDENCE BUILDING USING AERATED CONCRETE/BLOCK IN NAZARBAYEV UNIVERSITY, ASTANA, KAZAKHSTAN. Nazarbayev University School of Engineering, Department of Civil Engineering.
http://nur.nu.edu.kz/handle/123456789/2431
This project is focused on the design of a student residence building using aerated concrete in Nazarbayev University, Astana, Kazakhstan. The shortage of residential places on the campus is one of the primary problems of the university. Thus, the design of the residence building for master students by DC Group is studied in this paper. Major part of the worldwide energy is consumed by residential and commercial buildings. Because of low thermal conductivity and light weight compared to normal concrete, aerated concrete is proposed in order to provide proper thermal insulation and prevent significant heat loss. Moreover, the project includes obtaining own mixture design through laboratory experiments, where aerated concrete blocks will be casted and tested for both mechanical and thermal properties.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
student residence building
student residence
design of a student residence
DESIGN STUDENT RESIDENCE BUILDING USING AERATED CONCRETE/BLOCK IN NAZARBAYEV UNIVERSITY, ASTANA, KAZAKHSTAN
Capstone Project
oai:nur.nu.edu.kz:123456789/24322019-12-26T09:09:56Zcom_123456789_79com_123456789_67col_123456789_824
Abildinov, Tanat
Bekmurat, Altynay
Irsainova, Alina
Izimova, Altynay
Kulchmanov, Alen
2017-06-30T03:37:20Z
2017-06-30T03:37:20Z
2017
Abildinov, Tanat; Bekmurat, Altynay; Irsainova, Alina; Izimova, Altynay; Kulchmanov, Alen (2017) DESIGN A MULTI-STORY OFFICE BUILDING IN SAN FRANCISCO, CALIFORNIA USA.Nazarbayev University School of Engineering, Department of Civil Engineering.
http://nur.nu.edu.kz/handle/123456789/2432
San Francisco is rapidly growing financial and economic center of the region with increasing demand of the office area. This document contains the design of reinforced concrete moment frame office building in a high seismic hazardous region of San Francisco, California, USA. The project is named Sky City and performed by Trust Construction Company. Sky City is a 12 story high rise building with one underground parking floor, with the internal area of 15649 m2, located on the land area of 10,000 m2 in the Financial District of San Francisco. This document contains a detailed information of the global architectural design of the building based on the IBC with attached technical drawings of the first floor, typical floor, underground parking, site layout plans with indicated traffic flow and conceptual views, developed in accordance with CAD standards.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
San Francisco
California
USA
Sky City
architectural design
DESIGN A MULTI-STORY OFFICE BUILDING IN SAN FRANCISCO, CALIFORNIA USA
Capstone Project
oai:nur.nu.edu.kz:123456789/24332019-12-26T09:11:10Zcom_123456789_79com_123456789_67col_123456789_824
Mussabayeva, Aigul
Raiymbekova, Akmarzhan
Abdigaliyev, Arman
Alenayev, Iliyas
Ussenov, Khamrazhan
2017-06-30T03:44:40Z
2017-06-30T03:44:40Z
2017
Mussabayeva, Aigul; Raiymbekova, Akmarzhan; Abdigaliyev, Arman; Alenayev, Iliyas;Ussenov, Khamrazhan;
http://nur.nu.edu.kz/handle/123456789/2433
With increased number of vehicles and scarcity of space, there is high demand to construct more underground car parking facilities. Due to the rapid growth of underground structures, it is inevitable that new structures will have to interact with the existing ones below the ground level. Although there have been many studies about this topic, performing deep excavation without affecting nearby structures is still of great relevance. This issue is also addresses in this Capstone Project. The main aim of the project is to design and construct an underground parking facility in London, UK. The main challenge of the project is to prove that construction of the facility will not negatively affect Piccadilly line, which is lying nearby. Therefore, this paper provides with not only preliminary design and construction of underground parking facility in London, but also with the solution how to deal with existing structures in proximity. The need of the facility, preliminary architectural design, and literature review was covered in the previous semester, in Capstone I Project. At this stage, an advanced geotechnical analysis, i.e. diaphragm wall, foundation, piles design, and structural analysis will be conducted. Based on the design outputs, project management and final financial feasibility study will be produced.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
underground car parking
car parking
underground structures
DESIGN AND CONSTRUCTION OF UNDERGROUND PARKING FACILITY IN LONDON, UNITED KINGDOM
Capstone Project
oai:nur.nu.edu.kz:123456789/24342019-12-26T09:11:33Zcom_123456789_79com_123456789_67col_123456789_824
Anuarbek, Amire
Battalgazy, Nurassyl
Zeken, Zauzat
Zharaspayeva, Zarina
2017-06-30T03:53:00Z
2017-06-30T03:53:00Z
2017
Anuarbek, Amire; Battalgazy, Nurassyl; Zeken, Zauzat; Zharaspayeva, Zarina (2017) DESIGN AND ENERGY PERFORMANCE OF HOTEL BUILDING IN ASTANA, KAZAKHSTAN. Nazarbayev University School of Engineering, Department of Civil Engineering.
http://nur.nu.edu.kz/handle/123456789/2434
In this report, the detailed architectural design, including technical drawings of the proposed hotel, is provided. It is also based on the Kazakhstani codes, such as SNiPs and RDS RK. In order to provide the technical drawings, AutoCAD software was used; whereas, the 3D model was rendered in Google SketchUp software. In addition, using the same software, the outside parking area with available usual 38 parking places and 3 parking places for disabled people is shown as well. Moreover, hand and software calculations for the structural analysis of the building are presented. In order to fulfill the construction requirements of the high-rise building and to design structural members, such as slabs, columns and beams, EEC company has followed the regulations established by the UK code and ACI 318-11 code.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
hotel building
hotel
architectural design
design
DESIGN AND ENERGY PERFORMANCE OF HOTEL BUILDING IN ASTANA, KAZAKHSTAN
Capstone Project
oai:nur.nu.edu.kz:123456789/24352019-12-26T09:18:56Zcom_123456789_79com_123456789_67col_123456789_824
Ibrayev, Askar
Jangeldinov, Baurzhan
Yerzhanov, Meirzhan
Kuanysheva, Meruyert
Mukhametkhan, Zharas
2017-06-30T04:03:44Z
2017-06-30T04:03:44Z
2017
Ibrayev, Askar; Jangeldinov, Baurzhan; Yerzhanov, Meirzhan; Kuanysheva, Meruyert;Mukhametkhan, Zharas (2017) PLANNING AND DESIGN OF EXPRESS LANES CONNECTING TWO HIGHWAYS IN MIAMI, FLORIDA, USA. Nazarbayev University School of Engineering, Department of Civil Engineering.
http://nur.nu.edu.kz/handle/123456789/2435
Rising traffic and congestion in urban areas increases a demand for long bridges and interchanges. However, construction and designing such bridges evolve the infrastructure due to being permanently affected by safety, environment and budget. Therefore, there is a variety of bridge construction types that are chosen depending on the location and several parameters such as feasibility, safety maintainability, cost, and simplicity of construction. Over 60 years, precast prestressed concrete girders have been widely used all over the USA owing to their low life-cycle cost, endurance and modularity...
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
bridges
bridge construction
construction
MIAMI
FLORIDA
USA
PLANNING AND DESIGN OF EXPRESS LANES CONNECTING TWO HIGHWAYS IN MIAMI, FLORIDA, USA
Capstone Project
oai:nur.nu.edu.kz:123456789/24362019-12-26T09:11:21Zcom_123456789_79com_123456789_67col_123456789_824
Makhin, Bakhytbek
Negmetova, Gulzhan
Yekpyndynova, Nadira
Madenova, Yerkezhan
Abildin, Yerniyaz
2017-06-30T04:10:10Z
2017-06-30T04:10:10Z
2017
Makhin, Bakhytbek;Negmetova, Gulzhan;Yekpyndynova, Nadira;Madenova, Yerkezhan; Abildin, Yerniyaz (2017) DESIGN AND ENERGY PERFOMANCE OF STUDENT BUILDING INTEGRATED WITH PHASE CHANGE MATERIAL IN ASTANA,KAZAKHSTAN. Nazarbayev University School of Engineering, Department of Civil Engineering.
http://nur.nu.edu.kz/handle/123456789/2436
In this report, student resident building integrated with Phase Change Material (PCM) is designed by “EASY Engineering” Construction Company. The project is designated for Astana city’s residents. The proposed location of the 10-storey building is at the intersection of Turan avenue and 31st street, on the left coast side of the city. This paper contains architectural design of the project, structural analysis, geotechnical design and evaluation of energy performance of the building due to application of PCM.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
student resident building
student resident
phase change material
architectural design
DESIGN AND ENERGY PERFOMANCE OF STUDENT BUILDING INTEGRATED WITH PHASE CHANGE MATERIAL IN ASTANA,KAZAKHSTAN
Capstone Project
oai:nur.nu.edu.kz:123456789/31762019-12-26T09:12:28Zcom_123456789_79com_123456789_67col_123456789_824
Korshibek, Adilet
Miribayeva, Gulnara
Talasbayeva, Tamila
Tleuken, Aidana
Uteulina, Guldana
2018-05-10T03:58:00Z
2018-05-10T03:58:00Z
2018
http://nur.nu.edu.kz/handle/123456789/3176
en
http://creativecommons.org/licenses/by-nc-nd/3.0/us/
Attribution-NonCommercial-NoDerivs 3.0 United States
Student dormitory, student residences, structural design, geotechnical design, construction management
Design of a multi-storey student resident building in Astana, Kazakhstan
Capstone Project
oai:nur.nu.edu.kz:123456789/31772019-12-26T09:09:32Zcom_123456789_79com_123456789_67col_123456789_824
Karymsakov, Nariman
Yesbergen, Baizhan
Amangeldy, Kanat
Sadyrbayeva, Akbota
Kenzheshova, Akgul
2018-05-10T03:59:23Z
2018-05-10T03:59:23Z
2018-04-16
http://nur.nu.edu.kz/handle/123456789/3177
Designing a bridge is one of the complex engineering problems. In order to design a bridge, an engineer firstly needs to choose the type of bridge he is going to construct, and in the process of a design determine the most significant factors in the analysis and selection, and to develop a comprehensive understanding in designing a bridge. In this paper, our group has mainly focused on the structural part of the bridge such as analysis of the loads, and behavior of the bridge under stresses. It is also essential to understand material characteristics and behavior under the loads in order to maintain stability and duration. The specifications of the design criteria are met according to the AASHTO code.
en
http://creativecommons.org/publicdomain/zero/1.0/
CC0 1.0 Universal
Construction of steel plate I-girder bridge in Jeonju, South Korea
Capstone Project
oai:nur.nu.edu.kz:123456789/31782019-12-26T09:14:19Zcom_123456789_79com_123456789_67col_123456789_824
Iliyas, Nursultan
Orynbassar, Dauletkhan
Kabiden, Kuanysh
Kydyrmoldina, Bakytzhan
Urazalina, Elmira
2018-05-10T04:00:11Z
2018-05-10T04:00:11Z
2018
http://nur.nu.edu.kz/handle/123456789/3178
en
Design of multi-purpose sport complex and residential block at Nazarbayev University
Capstone Project
oai:nur.nu.edu.kz:123456789/31792019-12-26T09:10:56Zcom_123456789_79com_123456789_67col_123456789_824
Utemuratova, Raushan
Karabay, Aknur
Mukhamedyarova, Aiaru
Kadylbekov, Arnur
Sovetbek, Magzhan
2018-05-10T04:00:59Z
2018-05-10T04:00:59Z
2018-03-14
http://nur.nu.edu.kz/handle/123456789/3179
In recent years, the commercial industry of San Francisco has seen a significant expansion with the number of new companies growing each year. To meet the rising demand for office space, the project of construction of the 18-story office building “Kolbeu” was developed by the engineering and design firm “AQ Company” LLP. The given report presents an updated full-scale architectural design and structural and geotechnical design of the building.
The Kolbeu building is located in the Financial District of San Francisco and has the
dimensions of 40x66m with a total gross area of 36,504 m^2. The building shape is distinctive with its inclined cut of 30 degrees to the horizon and solar panels installed on its rooftop. The Kolbeu can be occupied by 1,660 employees and has 150 parking slots in the building site in total. This report presents the requirements for floor and parking plans, landscape design, elevation views and other relevant technical drawings that were defined in accordance with the standards of CAD and the International Building Code (IBC). The chosen location is characterized with high susceptibility to seismic hazard, which defined the structural design of the Kolbeu. The building is to be constructed using precast concrete based on time and safety considerations. The report presents the design of a structural system, which includes the lateral force resisting system, gravity force resisting system, joints and structural members design. In addition, the calculations of the axial load, including dead and live load reduction, as well as the seismic and wind loads are provided. The finite element analysis has been conducted to verify the analytical model with hand calculations with further reinforcement detailing of structural members for ultimate and serviceability designs.
Geotechnical design of the Kolbeu building was controlled by seismicity of the region
and its susceptibility to liquefaction effect. The report describes the foundation designs,
comparing deep pile and shallow foundation, analysis of the load transfer mechanism. The detailed design of the foundation with the ground. Additionally, the PLAXIS finite element analysis has been performed to verify the stability of the sheet piles construction. In Geotechnical part of the project, the design of the retaining structure, deep pile
foundation, and pile caps have been performed. PLAXIS simulations regarding the sheet pile installation were done to validate the design. The design is done considering location challenges such as the dynamic behavior of the location soil. Moreover, post effects of the earthquake such as lateral spreading and soil softening were analyzed. In addition to it, jet grouting is offered to due weak soil conditions. The preliminary design of jet grouting is proposed. Above it all, another PLAXIS simulation of the earthquake is run to see the behavior of piles under lateral loading with and without the support of jet grouting.
Lastly, the report provides an overview of construction management of the Kolbeu. The
document includes an in-detail description of the project plan, its Work Breakdown Structure, scheduling estimations and risk analysis. In detail cost estimations for the project are provided as well and are based on the selected construction materials, equipment and labor cost.
en
http://creativecommons.org/licenses/by/3.0/us/
Attribution 3.0 United States
Building
precast building
Civil engineering
Foundation design
Project management
Structural design
ASCE 7-10
Design a Multi-story Office Building in San Francisco, California, USA
Capstone Project
oai:nur.nu.edu.kz:123456789/31812019-12-26T09:19:58Zcom_123456789_79com_123456789_67col_123456789_824
Adilkhanova, Indira
Kussainov, Nurlan
Sheriyev, Almas
Kavkayeva, Dana
Turlybek, Alua
2018-05-10T04:01:30Z
2018-05-10T04:01:30Z
2018-04-13
http://nur.nu.edu.kz/handle/123456789/3181
Deterioration of old buildings in urban areas due to outdated structural, geotechnical, and architectural designs calls for the need of renovation in order to reuse those buildings. Renovation is becoming an effective way to extend service life of aging buildings, which are emerging as a crucial factor effecting resident’s wellbeing. Through performing renovation structure’s service live is extended, the living condition of its residents is improved, sustainable design is implemented, as well as structural strength, architectural and geotechnical designs are improved. For this project, a Soviet Union 5-storey precast concrete panel building located in the downtown area of Astana is chosen for renovation. The renovation includes downwards and upwards extension of the structure, namely construction of 2-storey underground parking and additional 2 storeys on existing building. Due to increased gravity load from additional storeys, the existing structure’s walls, slabs and connections between them are going to be strengthened and the old foundation is planned to be replaced to support the load of the new 7-storey structure and 2-storey underground parking.
The project scope includes architectural modification of the structure’s exterior design presented as a 3D model in SketchUp software. The architectural plan of existing building is presented in AutoCAD drawings. As the entire project is performed based on American codes and the existing structure is constructed based on Soviet Union codes, the consistency of the existing structure’s space use and occupancy is checked and verified to be in an agreement with American codes. The data on interior environment, ceiling and flooring of the existing structure is collected and described in architectural design section. The modifications, in addition to construction of the parking and 2 storeys, also include construction of elevators, the selection and design of which is also described in architectural design section.
The structural design includes analysis of existing building’s structural elements, specifically their strength and ability to withstand additional loads from upward modification, and the procedure and results of strengthening details. In order to proceed in this, design loads, which include dead, live, snow and wind loads, were calculated. Then, 3D model was built in SAP2000 software, from which internal design loads for each wall, slab and connections were obtained. Additionally, the internal design loads of specific members for one vertical and one horizontal case were calculated manually. The values obtained from SAP2000 for these cases and manual calculations were compared and verified. In addition to this, lateral drift analysis and check under wind load was performed. Based on the data on existing building’s structural members, namely reinforcement detailing, the design strength of each wall is calculated and presented in the form of M-N interaction curve. Design strengths of walls and joints are also calculated. From this analysis of design load and design strength, it is ensured that strengthening is not required as the walls, slabs and joints are able to sustain additional loads from vertical extension. Structural detailing of all members are provided in AutoCAD drawings.
The geotechnical design was initiated by collecting data on soil profile of the region where the building is located. Based on the load from the structure, parking columns, slabs, micropiles and micropile connections are designed. Due to foundation replacement and excavation, dewatering is performed. Excavation process is designed in Plaxis to determine the settlement and ensure that it is within allowable limit. Sheet piles are also designed in Plaxis, as well as new foundation.
The project management section involves the scope of the project, risk assessment and mitigation plan, health and safety plan, waste management plan, cost and time estimations, and risk management. Additionally, detailed Work Breakdown Structure and scheduling are prepared.
en_US
http://creativecommons.org/licenses/by-nc-nd/3.0/us/
Attribution-NonCommercial-NoDerivs 3.0 United States
renovation
multi-story
panel building
foundation replacement
Renovation of multi-story old building in downtown
Capstone Project
oai:nur.nu.edu.kz:123456789/35852019-12-26T09:12:04Zcom_123456789_79com_123456789_67col_123456789_824
Alikhanova, Arailym
Kakimzhan, Aldiyar
Mukhanov, Anuarbek
2018-11-01T10:05:14Z
2018-11-01T10:05:14Z
2017-04
Alikhanova, Arailym; Kakimzhan, Aldiyar; Mukhanov, Anuarbek. (2018) Design of a bus shelter based on Green Energy technologies for extreme weather conditions in Astana. Nazarbayev University School of Engineering.
http://nur.nu.edu.kz/handle/123456789/3585
Nowadays the contribution of renewable energy sources to the worldwide energy demand is already significant and the trend is expected to be accentuated. The reasons are the numerous benefits such as reduction in greenhouse gas emission and dependence on fossil fuels. The Republic of Kazakhstan is also concerned with the development of the renewable energy sector. Moreover, green energy technologies in combination with conventional technologies can result in more economic solutions for various applications. The transportation segment has recently experienced rapid development in Astana and one of the popular projects in the city is the construction of “warm” bus shelters. Nevertheless, there are several problems with current bus shelters such as insufficient space for passengers and the high costs of existing technologies. Thus, this project proposes the modernization of the shelter at “Cardiac Surgery Center” bus stop by using an optimal combination of clean and conventional energy sources. Three types of green energy technologies: ground source heat pumps, solar panels and wind turbines, are assessed for technical and financial viability. Thermal heating loads, originally served by electric heaters, are planned to be served in our proposal by combined geothermal and conventional electric heater system, whereas wind turbines and solar panels are intended to partly feed electric load.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
coefficient of performance
Net Present Cost (NPC)
Net Present Value (NPV)
photovoltaic panels
Design of a bus shelter based on Green Energy technologies for extreme weather conditions in Astana
Capstone Project
oai:nur.nu.edu.kz:123456789/35882019-12-26T09:13:30Zcom_123456789_79com_123456789_67col_123456789_824
Akiltayev, Ali
Beysekenov, Ilyas
2018-11-01T10:13:19Z
2018-11-01T10:13:19Z
2017-04
Akiltayev, Ali; Beysekenov, Ilyas. (2018) Design of load-and-misalignment-insensitive gearing for aerospace, automotive and naval applications. Nazarbayev University School of Engineering.
http://nur.nu.edu.kz/handle/123456789/3588
The operation of gears is usually accompanied with noise and vibrations that are caused by various sources. Two of the major ones are load and misalignment, which induce high magnitudes of stress on gear teeth. Hence, the main aim of this project is to mitigate their effects by proposing new design topology, which will address both issues without compromising performance of power transmission. The approach to be used in reaching load-insensitivity is to apply tooth profile modifications along with preloading and torque splitting topology, while, possible solution to the misalignment issue is implementation of gear web modification. In both cases, parametric study is used to check behavior of different systems: in part of load analysis, mesh stiffness variation is analyzed using Kisssoft software and dynamics of entire system is analyzed in Matheamatica, while misalignment effects are studied using ANSYS static structural studies. The above studies led to several important findings. Firstly, during the studies of mesh stiffness we found that loaded transverse contact ratio is more important than theoretical one for obtaining mesh curve with minimal fluctuations. Namely when loaded TCR is slightly less than integer it is possible to achieve desirable constant mesh stiffness, while being exactly integer causes spikes in the curve. Secondly, applying tip relief to spur gears changes the relationship between theoretical and loaded TCR: in case of gears with tip relief, loaded TCR is less than theoretical one, while for ordinary gears loaded TCR is always higher than theoretical. Thirdly, when helical gears have high (over than 2) integer overlap contact ratio (OCR) the effect of TCR is almost negligible. Finally, real-time self-preloading was proved to enable achieving constant mesh stiffness for wide range of loads. Also, split-torque topology helps to reduce overall level of vibrations. To find a solution for gear misalignment, 4 different gear web designs were studied: ordinary, spoked, split-pinion (modification of spoked pinion) and multicomponent topologies. Several observations were made during the study. As it was expected, stress in ordinary gears gets more concentrated with increase of misalignment. Spoked pinion topology showed complicated behavior, but still was effective in terms of stress redistribution. Fragmented pinion and multicomponent topologies helped to achieve the best stress distribution, but have some limitations, such as high structural complexity of multicomponent pinion and high stress in the spokes of fragmented pinion. More studies should be conducted to find their optimal configurations.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
ANSYS static structural studies
aerospace
naval
automotive
Design of load-and-misalignment-insensitive gearing for aerospace, automotive and naval applications.
Capstone Project
oai:nur.nu.edu.kz:123456789/35902019-12-26T09:20:37Zcom_123456789_79com_123456789_67col_123456789_824
Kurmashev, Sabit
Malik, Aryslan
Ospanov, Sayat
2018-11-01T10:27:10Z
2018-11-01T10:27:10Z
2017-04
Kurmashev, Sabit; Malik, Aryslan; Ospanov, Sayat. (2017) Synthesis, Analysis, Design and Manufacturing of an Upper-Limb Rehabilitation Apparatus based on a Hoeken’s Four bar Linkage. Nazarbayev University School of Engineering.
http://nur.nu.edu.kz/handle/123456789/3590
Over the last several decades robotic rehabilitation has played an important role in the human-robot interaction. This interaction is usually implemented by means of multi degree of freedom open kinematic chains mechanisms that are very complex and expensive. On the contrary, closed kinematic chains mechanisms based on four- and six bar linkages have only 1-DOF. Nevertheless, such mechanisms are capable of generating paths with complex kinematic characteristics. These mechanisms are preferable when simplicity and cost are the major criteria. These criteria are of higher importance when community based rehabilitation in developing countries is concerned. This capstone project is aimed at synthesizing, designing and manufacturing of such mechanism. The project is based on a 1-DOF mechanism, i.e. Hoeken four bar linkage. Major neurophysiological models related to upper-limb rehabilitation in people after strokes, such as Minimum Jerk Model, Fitts’s Law and Just Noticeable Difference are considered in this paper. The methodology includes developing kinematic, kinetostatic and dynamic analysis of the mechanism along with control and mechatronics concepts. The analysis and concepts derived in this paper are used for patients’ training procedures.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Upper-Limb
Synthesis
Analysis
Design
Synthesis, Analysis, Design and Manufacturing of an Upper-Limb Rehabilitation Apparatus based on a Hoeken’s Four bar Linkage
Capstone Project
oai:nur.nu.edu.kz:123456789/35952019-12-26T09:18:34Zcom_123456789_79com_123456789_67col_123456789_824
Lutsenko, Ilya
Serikbay, Manarbek
2018-11-01T10:39:13Z
2018-11-01T10:39:13Z
2017-04
Lutsenko, Ilya; Serikbay, Manarbek. (2017) Optimum 2d geometries that minimize drag for low Reynolds number flow. Nazarbayev University School of Engineering.
http://nur.nu.edu.kz/handle/123456789/3595
In this work, a two-dimensional Oseen’s approximation for Navier-Stokes equations is to be studied. As the theory applies only to low Reynolds numbers, the results are focused in this region of the flow regime, which is of interest in flows appearing in bioengineering applications. The investigation is performed using a boundary element formulation of the Oseen’s equation implemented in Matlab software package. The results are compared with simulations performed in COMSOL software package using a finite element approach for the full Navier-Stokes equations under the assumption of laminar and steady flow. Furthermore, experimental and numerical data from pertinent literature for the flow over a cylinder are used to verify the obtained results. The second part of the project employs the boundary element code in an optimization procedure that aims at drag minimization via body-shape modification with specific area constraints. The optimization results are validated with the aid of finite element simulations in COMSOL.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Navier-Stokes equations
Reynolds number
Optimum 2d geometries that minimize drag for low Reynolds number flow.
Capstone Project
oai:nur.nu.edu.kz:123456789/35942019-12-26T09:18:46Zcom_123456789_79com_123456789_67col_123456789_824
Kurmantayev, Aidar
Metey, Yerkegali
Nazarova, Saltanat
2018-11-01T10:38:59Z
2018-11-01T10:38:59Z
2017-04
Kurmantayev, Aidar; Metey, Yerkegali; Nazarova, Saltanat. (2017) Parametric geometrical modelling of wind turbine Blades & Hub. Nazarbayev University School of Engineering.
http://nur.nu.edu.kz/handle/123456789/3594
Wind turbine industry has substantially grown in last decades and is still becoming larger. Hence, effective ways to design wind turbines are needed. In this report, the procedure of parametric design of a wind turbine blade is presented. This is performed with the help of Grasshopper®, an application embedded into Rhinoceros 3D graphical design software. The process involves parametric construction of airfoil sections along the wind turbine blade. The geometry is modeled by taking advantage of Bezier curves, since they can be used to build nonlinear high curvature contours. Main feature curves in an airfoil are the camber, upper and lower sides, which are defined by a set of appropriately selected parameters. The generation of multiple airfoil sections enables us to construct a complete 3D shape with help of the lofting feature in Rhinoceros environment. Results can be further utilized for static or dynamic analysis. The aim of the project is to develop an algorithm that enables us to reconstruct any available wind turbine blade with maximum precision and to establish a verified solution method by reproducing published data for NACA 4412 in the subsonic flow regime. The blade design is described in detail in this report and all the stages are presented with appropriate illustrations.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Energy Consumption
HAWT turbines
Wind turbines
Parametric geometrical modelling of wind turbine Blades & Hub.
Capstone Project
oai:nur.nu.edu.kz:123456789/35982019-12-26T09:11:54Zcom_123456789_79com_123456789_67col_123456789_824
Baitlessov, Ruslan
Myrzakhmet, Aitbek
Sharipov, Kuanysh
2018-11-01T10:55:15Z
2018-11-01T10:55:15Z
2017-04
Baitlessov, Ruslan; Myrzakhmet, Aitbek; Sharipov, Kuanysh. (2017) Designing and building a hybrid (electric/ic) UAV. Nazarbayev University School of Engineering.
http://nur.nu.edu.kz/handle/123456789/3598
In comparison with conventional internal combustion (IC) engine power trains, a hybrid electric propulsion system with two or more energy sources has proved to be a more effective in terms of pollution rate, and a reduction of heat release and sound effects. For applications of hybrid electric/IC propulsion to vehicles and especially military, it has been demonstrated that considerable improvement of energy use by reducing fuel consumption required for basic functions occurs. Due to these factors, the use of unmanned aerial vehicles (UAVs) may be adopted to civil service as well. This might include detecting and monitoring disaster, hazards, and environment conditions, and reserving backup power for emergency. Based on the above information, this Capstone Project aims to develop the design a prototype of an economical and practical small scale tilt-rotor UAV, with emphasis on good performance characteristics, including high endurance, a rotor-tilting mechanism, payload capacity and vertical to horizontal transition stability. The main focus was on optimizing the aerodynamic parameters of fixed-wing prototype and combining the hovering abilities of a multi-rotor UAV. The CAD model built in SolidWorks, computational analysis and simulations of the vehicle performance in Ansys CFX related to this project are delivered as well. In addition, laboratory work was done in order to check performance of both the engine and generator.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
internal combustion (IC)
engine power trains
unmanned aerial vehicles (UAVs)
Designing and building a hybrid (electric/ic) UAV
Capstone Project
oai:nur.nu.edu.kz:123456789/35992019-12-26T09:15:27Zcom_123456789_79com_123456789_67col_123456789_824
Kussaiyn, Nurassyl
Mendygarin, Yertay
2018-11-01T10:55:43Z
2018-11-01T10:55:43Z
2017-04
Kussaiyn, Nurassyl; Mendygarin, Yertay. (2017) Hemodynamic Design Optimization of a Blood-wetted Medical Device associated to treatment oCardiovascular Diseases applying Computational Fluid Dynamics: Case study of Kazakhstan. Nazarbayev University School of Engineering.
http://nur.nu.edu.kz/handle/123456789/3599
This project aims to the improvement and validation of a multiphase fluid dynamics numerical model of blood flow to provide more accurate modeling of blood damage occurring within blood-wetted medical devices. Heart diseases are responsible for a significant portion of deaths worldwide and particularly in Kazakhstan, where blood-wetted medical devices are increasing in their use as a vital tool in the treatment of these diseases, supporting patient’s lives or as a bridge to needed transplants. However, these devices can introduce problems associated with biocompatibility of the materials or due to prolonged large shear stresses acting on blood cells. Within the family of blood-wetted devices used for cardiovascular diseases, the Ventricular Assist Devices (VAD) are of profound consideration, especially nowadays in Kazakhstan. Computational Fluid Dynamics (CFD) is proven to be a very useful and promising tool to perform blood flow simulations, as it is less expensive and time-saving compared with in-vitro experiments with real blood. Nevertheless, there is still lack of agreement between scientists worldwide about accurate modeling blood damage using CFD tools. This project aims to recover a current state-of-the-art multiphase CFD model of blood and tackle some of its potential weaknesses to improve its predictability characteristics. In particular, an Eulerian-Eulerian multiphase model, developed by the advisor of this investigation and his graduate student team, with moderate accuracy on prediction of blood damage, will be subject to modifications to include a new sub-model based on the principles of Granular Kinetic Theory (GKT) aiming to a better capture of blood cells segregation, which is blamed as the main cause of inaccuracies of that model. The existing model improved the blood damage prediction from a predecessor homogeneous model by just incorporating a particle-like nature to red blood cells (RBC) and platelets (PLT) transported in the blood stream. However, at the beginning of this investigation there was still large space to improve the damage prediction. The major inaccuracy of the base model was hypothesized as its incapability of predicting the correct peak of concentration of platelets that is expected to occur very near the vessel wall, also called the Fahraeus-Lindqvist (F-L) effect. Indeed the base model designed to simulate a three-phase plasma-RBC-PLT fluid flow, considering interfacial interaction between PLT and RBC only with plasma in a single-particle-interaction approach, was capable to predict a peak of platelet concentration near the wall, but with intensity much lower than expected.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Computational Fluid Dynamics (CFD)
Ventricular Assist Devices (VAD)
red blood cells (RBC)
platelets (PLT)
Hemodynamic Design Optimization of a Blood-wetted Medical Device associated to treatment oCardiovascular Diseases applying Computational Fluid Dynamics: Case study of Kazakhstan
Capstone Project
oai:nur.nu.edu.kz:123456789/44772019-12-19T21:00:41Zcom_123456789_79com_123456789_67col_123456789_824
Duisenova, Alina
Badanova, Nazym
2019-12-19T09:16:42Z
2019-12-19T09:16:42Z
2019
Badanova, N., & Duisenova, A. (2019). Nazarbayev University School of Engineering and Digital Sciences, Nur-Sultan.
http://nur.nu.edu.kz/handle/123456789/4477
Wind energy is one of the most promising types of renewable energy and is successfully integrated in our lives. Wind turbines were used in the past centuries, but utilizing the wind energy in a large amount started with the installation of thousands of wind turbines in California in the late 1980s ("History of wind power", 2019). Although the wind energy became popular there are problems causing the wind energy usage to lag behind the wind range of traditional fossil fuel usage. That is, wind turbine operation is not continuous as required because of the failures that cause unscheduled downtime during their intended design lifetime. These failures mainly include the component failures, especially the rotor blades. Rotor blades are ones of the most critical components, what is being verified by the statistics showing 3800 incidents of blade failure each year out of an estimated 700 000 blades operating globally (Dvorak, 2019). The reasons and technical information about such structural failures of rotor blades are not discussed in the media and rarely reported in academic literature because of the unavailability of the technical data due to commercial confidentiality. Meanwhile, this problem became the topic of a great interest for many researchers all around the world.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Wind energy
Parametric airfoil
2D mesh
Aerodynamic
wind farms
S809 airfoil sections
Aerodynamic analysis of wind farms
Capstone Project
oai:nur.nu.edu.kz:123456789/44782019-12-19T21:00:46Zcom_123456789_79com_123456789_67col_123456789_824
Tokmyrza, Batyrkhan
Bagytzhanov, Temirlan
2019-12-19T09:18:14Z
2019-12-19T09:18:14Z
2019
Tokmyrza, B., & Bagytzhanov, T. (2019). Nazarbayev University School of Engineering and Digital Sciences, Nur-Sultan.
http://nur.nu.edu.kz/handle/123456789/4478
This paper describes various types of locomotive cabins and then focuses its attention on the design of ceiling parts. It attempts to determine the most optimal internal design and materials (taking the cost-to-weight ratio into account) and demonstrates the process of modelling them in SolidWorks software in order to later pass them into mass production in territory of Kazakhstan. Also, two new lock designs were proposed to be tested. ANSYS and SolidWorks simulations (e.g. static, dynamic, vibration, temperature etc.) to ensure the structure’s durability and stability were performed and presented. Work package, all of the drawings of the parts and simulation files were attached in the appendix.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
LOCOMOTIVE CABIN
CABIN CEILING
LOCOMOTIVE
Front Hatch
Rear Hatch
door lock
Novel Design of a Locomotive Cabin Ceiling
Capstone Project
oai:nur.nu.edu.kz:123456789/44822019-12-19T21:00:50Zcom_123456789_79com_123456789_67col_123456789_824
Smagulov, Zhalgas
Otepbergenov, Temirlan
2019-12-19T09:26:21Z
2019-12-19T09:26:21Z
2019
Smagulov, Z., & Otepbergenov, T. (2019). Nazarbayev University School of Engineering and Digital Sciences, Nur-Sultan.
http://nur.nu.edu.kz/handle/123456789/4482
The objective of the current research is to print the most fracture resistant and economic prototype of the AFO device using Fused Deposition Modelling (FDM) 3D printing. As it was mentioned in above, PLA is one of the most suitable, most common and cheapest material for FDM printing, at the same time it is not as mechanically resistant as Nylon. Thus, in this paper, it was suggested to observe the model of AFO created from PLA for the locations with the highest stress values using the Finite Element Analysis (FEA) method. Afterwards, these locations were substituted with Nylon, which is much harder than PLA. Such modification may improve the total stress resistance of the model and minimize the cost for the used material. In order to confirm the results, the developed AFO was printed by the five extrusion multi-material FDM 3D printer and finally, tested using the compressor testing machine.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
ankle foot orthosis
3D printed orthosis
stereolithography apparatus
SLA
laminated object manufacturing
LOM
selective laser sintering
SLS
Numerical and experimental analysis of the 3D printed multi-material ankle foot orthosis
Capstone Project
oai:nur.nu.edu.kz:123456789/44812019-12-19T21:00:47Zcom_123456789_79com_123456789_67col_123456789_824
Kopeyeva, Assel
Yerubayeva, Anel
Trubayev, Sanjar
2019-12-19T09:23:42Z
2019-12-19T09:23:42Z
2019
Kopeyeva, A., Yerubayeva, A., & Trubayev, S. (2019). Nazarbayev University School of Engineering and Digital Sciences, Nur-Sultan.
http://nur.nu.edu.kz/handle/123456789/4481
Additive Manufacturing (AM) technology has advanced over the last decade and becomes a feasible alternative for the traditional subtractive manufacturing technology to create complex shapes. Fused Deposition Modeling (FDM) is one the most used processes of AM, whose working principle is consisted in the setting the machine temperature necessary to melt the material and pushing by a nozzle. There are many benefits appear due to the nature of FDM process, as well as several difficulties come from the influence of processing parameters such as: infill density, infill pattern, layer thickness, print speed, platform temperature, extruder temperature etc. on the final properties of the pieces. This project is focused on 3D FDM printed shapes used as a pattern for investment casting and provides experimental studies to analyze the influence of processing parameters on the dimensional accuracy and surface finishing of FDM parts. Previous related works on optimization of FDM process parameters are considered in assessing the effect of varied configurations. The dimensions of the 3D printed patterns are measured and compared with the nominal CAD dimensions using Coordinate Measuring Machine (CMM).
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Coordinate Measuring Machine
CMM
Fused Deposition Modeling
FDM
dimensional accuracy
3D printing
Additive Manufacturing
AM
Preliminary investigation of dimensional accuracy of FDM printed part
Capstone Project
oai:nur.nu.edu.kz:123456789/44802019-12-19T21:00:52Zcom_123456789_79com_123456789_67col_123456789_824
Zhamiyev, Asset
Maldenov, Nurzhan
Adekenov, Bekbolat
Abylkassimov, Arman
2019-12-19T09:21:31Z
2019-12-19T09:21:31Z
2019
Zhamiyev, A., Maldenov, N., Adekenov, B., & Abylkassimov, A. (2019). Nazarbayev University School of Engineering and Digital Sciences, Nur-Sultan.
http://nur.nu.edu.kz/handle/123456789/4480
Multiphase flows can be met both in nature and in industrial processes. The particular case of multiphase flows is particle-laden flows, consisting of fluid phase and particle phase. Study is aimed at the investigation of the dynamics of particles in laminar and turbulent flows. The dynamics of particles depends on their physical properties. The study of the particle’s dynamics in turbulent flow consisted of three parts: simulation of homogeneous isotropic turbulence (HIT), simulation of particle-laden flows and investigation of particles’ pair dispersion. Initially, the turbulent flow was simulated in OpenFOAM via Large Eddy simulation (LES) and Direct Navier Stokes (DNS) methods. Then not decaying homogeneous isotropic turbulence was achieved by addition of forcing term. The effect of different values of forcing constant on turbulent flow was investigated. The mesh convergence study was performed for LES and DNS. Results showed convergence in LES simulations and the reduction of volume-averaged velocity fluctuations (U’) in DNS with an increase of the number of mesh elements. The particle phase simulation was performed in Matlab and CFDEM. The simulation in Matlab revealed several constraints. The simulation of particles with turbulence phase for a short period of time was performed in CFDEM. However, due to the decaying nature of the flow, the investigation of particles’ trajectories could not be performed. The pair dispersion of inertial particles in turbulent flow was investigated for available experimental data. The results were represented on graphs with normalized scales. The correlation between the velocity of flow and the normalized value of the initial separation was determined. The mean square separation does not change significantly until the first decade. The motion of clots in blood flow was numerically simulated using Ansys Fluent package. The mesh convergence study was performed and the velocity of the particles in blood flow was analyzed. The results obtained for blood flow showed distribution close to Gaussian. The preliminary experiment was conducted for small particles of smoke. The smoke cloud was detected via the image intensity analysis.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
OpenFOAM
Large Eddy simulation
LES
homogeneous isotropic turbulence
HIT
Direct Navier Stokes
DNS
Ansys Fluent package
blood flow
multiphase flows
Numerical and Experimental Investigation of multiphase flows. Fundamental and Applied studies
Capstone Project
oai:nur.nu.edu.kz:123456789/44792019-12-19T21:00:49Zcom_123456789_79com_123456789_67col_123456789_824
Yernazarov, Yerkin
Satybaldy, Akylbek
2019-12-19T09:19:34Z
2019-12-19T09:19:34Z
2019
Satybaldy, A., & Yernazarov, Y. (2019). Nazarbayev University School of Engineering and Digital Sciences, Nur-Sultan.
http://nur.nu.edu.kz/handle/123456789/4479
Energy consumption all over the world is increasing rapidly, that is why to fulfill this demand various types of energy sources are needed. During this project, one of the well known type of renewable energy sources wave water energy will be explored. The main aim of this research is to calculate coefficient of efficiency in terms of cost and power dependence and to model new design of ocean wave energy converter. The structure of Sea Slot-cone Generator will be benchmark model for this research and it has several reservoirs, which will have own turbines to produce energy. The data analysis in terms of efficiency and physical behavior will be tested on software ANSYS by making 2D and 3D simulations of a flow. Various shapes of sea slot cone generator will be tested and analysis in terms of pressure and velocity would be made. For preliminary study, the simulation of a flow in 2D will be made and by identifying the velocity profile of the flow ocean wave energy extraction will be tested.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Ocean Wave energy extraction
renewable energy
Sea Slot-cone Generator
energy sources
Energy consumption
Ocean Wave energy extraction
Capstone Project
oai:nur.nu.edu.kz:123456789/44762019-12-19T21:00:49Zcom_123456789_79com_123456789_67col_123456789_824
Kyzyrov, Ulan
Turgali, Dana
2019-12-19T09:11:20Z
2019-12-19T09:11:20Z
2019
Kyzyrov, U., & Turgali, D. (2019). Nazarbayev University School of Engineering and Digital Sciences, Nur-Sultan.
http://nur.nu.edu.kz/handle/123456789/4476
Centrifugal pumps are widely used in different industries, therefore there are numerous researches studying the methods to enhance the performance of the pumps. This paper studies the effect of two design parameters of impeller, namely variable blade inlet angle and winglets, to the efficiency of the pump. Variable blade inlet angle might decrease the impact of the shock losses at off-design conditions, while adding the winglets could reduce the recirculation losses caused by the flow transferred from pressure side to suction side due to the pressure difference. CAD models for the base case and two proposed cases were designed for the future experiments. Preliminary experiment for the impeller with winglets has demonstrated the increase in efficiency. Lastly, by varying inlet angle and size of the winglets for two parameters, the optimized configuration would be determined experimentally.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Winglets
Impeller Retrofitting
Performance Enhancement
Winglets
Pump losses
Performance Enhancement of a Centrifugal Pump by Impeller Retrofitting
Capstone Project
oai:nur.nu.edu.kz:123456789/44752019-12-19T21:00:44Zcom_123456789_79com_123456789_67col_123456789_824
Aldabergen, Abilkhairkhan
Abdulov, Alen
Akzhigitov, Dulat
Srymbetov, Tamerlan
2019-12-19T09:09:24Z
2019-12-19T09:09:24Z
2019
ldabergen, A., Abdulov , A., Akzhigitov, D., & Srymbetov, T. (2019). Nazarbayev University School of Engineering and Digital Sciences, Nur-Sultan.
http://nur.nu.edu.kz/handle/123456789/4475
As the humanity continues and further accelerates the progress of technologies and structures of various fields, the integration of high-performance engineering structures has been an essential part in state-of-the-art engineering spheres. This work proposes the ways to design, examine, model and test such a structure: buckling-resistant pipes and structural members for nuclear reactors made from refractory alloys by means of powder metallurgy. Due to the complexity of the proposed system, the work was divided into corresponding work packages (see Appendices A - D), each presenting a detailed report and procedure with intermediate findings. The first two reports examine how the melting point of refractory metals is affected by the complex stress states; the third one studies a centrifugal sintering process; and the fourth work-package investigates the effect of the geometry on buckling. For each part, one student was assigned.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
complex stress states
melting
refractory materials
centrifugal sintering
buckling
high performance
Mechanical - thermal modelling and design of high-performance engineering structures
Capstone Project
oai:nur.nu.edu.kz:123456789/44742019-12-19T21:00:48Zcom_123456789_79com_123456789_67col_123456789_824
Akhynov, Anuar
Abilov, Alikhan
2019-12-19T09:09:04Z
2019-12-19T09:09:04Z
2019
Akhynov, A., & Abilov, A. (2019). Nazarbayev University School of Engineering and Digital Sciences, Nur-Sultan.
http://nur.nu.edu.kz/handle/123456789/4474
In this work we present our recent progress towards the development of a parametric model that will be able to generate analysis-suitable representations, which can accurately approximate existing ship hulls with a reduced number of control points. Second part of the work deals with implementing two adaptive refinement strategies with a goal of achieving required accuracy in field quantities with relatively lower costs, and which will finally allow us to calculate ship wave resistance.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
IGABEM
NURBS
NURBS parametric model
MATLAB
wave-resistance estimations
wave-resistance
Refinement strategies
parametric model
Refinement strategies for wave-resistance estimations using IGABEM solvers and a NURBS based parametric model
Capstone Project
oai:nur.nu.edu.kz:123456789/47042020-05-14T21:00:23Zcom_123456789_79com_123456789_67col_123456789_824
Shatayev, Medet
Dukenbayev, Kanat
2020-05-14T10:18:02Z
2020-05-14T10:18:02Z
2020-05
http://nur.nu.edu.kz/handle/123456789/4704
This paper summarizes the basics of near-field scanning microscopy, one of the most advanced methods for studying surface properties. The principles of operation of the near-field optical microscope, the most widely used in scientific researches. The technological development of varieties of NSOM types is still ongoing, and some of the new technology updates are reviewed in this paper.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Biomedical Engineering
Biophysics
Research Subject Categories::TECHNOLOGY
Near-Field Scanning Optical Microscopy
Capstone Project
oai:nur.nu.edu.kz:123456789/47022020-05-14T21:00:38Zcom_123456789_79com_123456789_67col_123456789_824
Yelikbayev, Sultan
2020-05-14T10:11:55Z
2020-05-14T10:11:55Z
2020-05
http://nur.nu.edu.kz/handle/123456789/4702
As of late, the various techniques
from the materials science and biophysics
are utilized to study the physical
properties of the microstructure
of the chemical and biological specimen.
Through a considerable many
of them give phenomenal sensibility,
they have a few requirements concerning
electromagnetic interference, fabrication
complexity and specific laboratory
conditions for operating. Hence,
to overcome these constraints the new
family of micro-scale fiber optical sensors
was introduced. There are several
methods to fabricate microfibers with
different microtechbology. However,
the techniques with more simple, economical
and robust fabrication process
are still developing. Therefore, this
study proposes the fabrication process
of widely interested tapered fiber optic
microsensor via Laser Splicing System
and characterization of produced tapered
microfibers in terms of external
RI sensitivity. The final product that
was achieved is the fiber with the least
waist diameter 19 mm has RI sensitivity
of 156.8215 nm/RIU and agreeable
linear correlation between the wavelength
shift and RI change. In addition,
the detailed fabrication process
with characterization method is presented
in the following sections. Moreover,
the observed trends in fabrication
process and recommendations based
on the practice experience are also suggested
in this report.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Fiber-Optic Microsensor
Biosensors
Research Subject Categories::TECHNOLOGY
FOS
COMSOL
Simulation of Light Transmission Intensity
Radio frequency
RF
Adiabatically Tapered Fiber-Optic Microsensor: Fabrication and Characterization
Capstone Project
oai:nur.nu.edu.kz:123456789/47072020-05-15T21:00:33Zcom_123456789_79com_123456789_67col_123456789_824
Negmetzhanov, Daryn
Dauletkhanuly, Yeldos
2020-05-15T06:09:32Z
2020-05-15T06:09:32Z
2020-05
http://nur.nu.edu.kz/handle/123456789/4707
Precipitous development and commercialization of Electric Vehicles (EVs) become state of art technology. Likewise, demand for rapid feeding operation like Dynamic Wireless Charging (DWC) system is enhancing. Nevertheless, drawback in the form of misalignment between charging coil and receiver side attenuates standing of the DWC. Many studies were conducted to accomplish the throughput of this technology based on various aspects. In some articles, coil shape is the primary aim, while others concern with wireless power transfer (WPT) circuit. The fundamental aim of this project is to elevate the efficiency of the DWC by eliminating misalignment issue between source and load coils. It will cover background of the DWC with moderate literature review followed by own proposed methodology. The suggested topology was first simulated in the ANSYS Electronics software, then PSIM was applied to test is in hardware. Obtained results used in the overall system simulation show promising outputs.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Electric Vehicle
Dynamic Wireless Charging
Misalignment Detection
Sensor Coils
Research Subject Categories::TECHNOLOGY
Dynamic Wireless Charging of Electric Vehicle: Misalignment Detection using Sensor Coils
Capstone Project
oai:nur.nu.edu.kz:123456789/47122020-07-14T06:11:31Zcom_123456789_79com_123456789_67col_123456789_824
Kassymkhan, Adilbek
2020-05-15T09:15:03Z
2020-05-15T09:15:03Z
2020-05
http://nur.nu.edu.kz/handle/123456789/4712
The development of science has given
man many devices to create illumination
at any time of the day. These devices
consume a tremendous amount
of energy, despite the fact that efficient
LED lighting is used. At the moment,
occupancy sensors are used as one of
the effective tools to reduce lighting
energy consumption. A model has
widely used in which the system turns
off consecration if a certain amount of
time does not receive data about the
presence of a moving object in a range
of visibility. The system presented in
this paper uses the probabilities of a
person being in the room, and starting
from this information sets the level of
illumination.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
smart technology
lightning
Research Subject Categories::TECHNOLOGY
LED
Energy consumption
Smart Interior Lighting
Capstone Project
oai:nur.nu.edu.kz:123456789/47132020-05-15T21:00:42Zcom_123456789_79com_123456789_67col_123456789_824
Baktykerey, Adilet
Zhanaliyev, Askar
2020-05-15T09:32:46Z
2020-05-15T09:32:46Z
2020-05
http://nur.nu.edu.kz/handle/123456789/4713
In the modern era, a constant supply
of electrical energy is an essential part
of society. Any cause that may result
in power outage should not only
be eliminated but detected in advance
and prevented. Power system protection
techniques and planned maintenance
and inspections were intended
to prevent those faults, however despite
these measures faults still occur
and result in equipment malfunction.
This capstone project is intended
to design a system that processes infrared
images and detects overheating
in the power substation units, preventing
equipment from damage and ensuring
constant operation of the power
system. This project introduces a system
that analyzes images captured on
thermal cameras, uses image processing
algorithms to detect hot-spots and
make a decision upon equipment’s
condition. By building a web application,
a general system has been implemented
that is open for any power
company, which establishes a service
of maintenance and reduces manual
inspection.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Research Subject Categories::TECHNOLOGY
Power System Protection
Substation Maintenance
Thermal Vision
Signal Processing
Image Processing
Thermal vision camera equipped drone for predictive maintenance of grid sub-stations
Capstone Project
oai:nur.nu.edu.kz:123456789/47212020-05-18T21:00:34Zcom_123456789_79com_123456789_67col_123456789_824
Shamil, Amina
Dadlani, Aresh
2020-05-18T04:22:39Z
2020-05-18T04:22:39Z
2020-05
http://nur.nu.edu.kz/handle/123456789/4721
The emergence of link polarity in social networks has opened up many research grounds in recent years. One direction that has received immense attention is the spreading of dynamic processes over signed networks. Having broad applications in economics, brand advertising, and social networking, research in this area is yet in its infancy. This capstone is devoted to the investigation of the interplay between opposing opinions/ideas in the presence of positive (friendly) and negative (unfriendly) social relationships in online networks. Grounded in Heider’s structural balance theory, the presented work is an improvement that accounts for the impact of both, user state and connection state on the prevalence of the spreading process. Moreover, our results are based on simulations conducted using online social network data sets that were extracted and analyzed.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Social Network
Epidemic spreading
Balance theory
Signed Network
Research Subject Categories::TECHNOLOGY
Epidemic Spreading in Signed SIIS Model
Capstone Project
oai:nur.nu.edu.kz:123456789/47202020-05-18T21:00:40Zcom_123456789_79com_123456789_67col_123456789_824
Temirbek, Islambek
2020-05-18T04:17:13Z
2020-05-18T04:17:13Z
2020-05
http://nur.nu.edu.kz/handle/123456789/4720
In modern clinics, quantitative analyses
are used to diagnose and treat
gait pathology. Accordingly, foretasting
walking kinematics and kinetics
of people benefits to better understand
gait patterns and construct assisting
devices for rehabilitation. This
capstone research proposes a deep
learning algorithm (LSTM) for forecasting
the walking kinematic of the
knee in the Cartesian coordinate system.
The hyper-parameter optimization
using Gaussian Process method
was used to predict walking kinematics
of knee with an accuracy of 97%.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
deep learning algorithm
LSTM
Long short-term memory
Research Subject Categories::TECHNOLOGY
Root mean square prop
RMSProp
Detecting Disorders in Human Walking Behaviors Using Deep Learning
Capstone Project
oai:nur.nu.edu.kz:123456789/48032020-06-25T21:00:30Zcom_123456789_79com_123456789_67col_123456789_824
Akhmetov, Zhanibek
Battalgazy, Bekassyl
Mazhit, Birzhan
Shildebayev, Temirlan
Zhanbassynova, Ainur
2020-06-25T06:32:39Z
2020-06-25T06:32:39Z
2020-04-24
http://nur.nu.edu.kz/handle/123456789/4803
This capstone report focuses on production of ethylene glycol from ethylene. This work is a continuation of Capstone I project, where the analysis of raw materials and final products, market analysis, feasibility study and analysis of global manufacturers was conducted, as well as ethylene glycol possible production pathways were evaluated, and site location was selected.
In scope of this work, Shell OMEGA process was found to be economical in terms of product requirements and energy consumption, satisfying the desired yield of production and relatively easy catalyst separation from the product. The OMEGA process subsumes three reaction steps such as oxidation of ethylene in the presence of silver catalyst and chlorine moderator which helps to avoid over-oxidation, carbonation of ethylene oxide and hydrolysis of ethylene carbonate. The resulting product is dehydrated and purified from other by-products. According to economic research done in this work, it was decided to state the production rate as 100 kT ethylene glycol per year. The reaction kinetics and thermodynamic models for each step of reaction are discussed and validated.
To design main units of the process Aspen Plus software was used. To reach the desired rate of ethylene glycol production, process optimization was made. Overall, this research and design work conducted for design of pure ethylene glycol production plant can be considered as a preliminary plan for the plant design in practical industrial conditions.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Ethylene
Synthesis
Ethylene Glycol
Research Subject Categories::TECHNOLOGY
oxidation of ethylene
Synthesis of Ethylene Glycol from Ethylene
Capstone Project
oai:nur.nu.edu.kz:123456789/48022020-06-25T21:00:39Zcom_123456789_79com_123456789_67col_123456789_824
Kukpayev, Aibek
Kondratyuk, Dina
Junusbekova, Marzhan
Makarov, Yelshat
2020-06-25T06:32:36Z
2020-06-25T06:32:36Z
2020-04-24
http://nur.nu.edu.kz/handle/123456789/4802
The main objectives of the capstone project are to implement the design of a chemical plant to satisfy 25% of the estimated demand by 2025 in the Commonwealth of Independent States (CIS) and to determine the value of production rate in kt/year with certain purity of salicylic acid. Feasibility studies on existing manufacturing process will be performed to select the most appropriate process in chemical and economical aspects. Moreover, kinetics and thermodynamics of selected reaction will be studied by analyzing chemical and physical properties of substances, providing the proof for the mechanisms of chemical processes. Preliminary mass balance to be performed based on Process Flow Diagram (PFD). Detailed equipment design for major units will be performed. Environmental and safety issues will be analyzed by using HAZOP analysis.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Salicylic acid
Research Subject Categories::TECHNOLOGY
chemical plant
Commonwealth of Independent States
CIS
Design of a chemical plant for salicylic acid production in the Commonwealth of Independent States (CIS) with the estimated demand of 25% by 2025
Capstone Project
oai:nur.nu.edu.kz:123456789/48012020-06-25T21:00:42Zcom_123456789_79com_123456789_67col_123456789_824
Abdukhanova, Miliana
Onalbayeva, Akzhan
Tassanbayev, Yerik
Yerdaulet, Diana
2020-06-25T06:32:12Z
2020-06-25T06:32:12Z
2020-04-24
http://nur.nu.edu.kz/handle/123456789/4801
The objective of this report is to analyze a process of the phosphoric acid production using
phosphoric ore as raw material. There are different strategies to approach the production of the
phosphoric acid. Therefore, to assess the feasibility of the proposed processes, literature review of
the existing patents on acid production and economy analysis was made. Then, based on the qualitative
analysis, one process was selected and detailed information on the pure thermodynamics properties
of the compounds involved in the process, the kinetics of the main reactions and mass transfer,
thermodynamics of the process, health and safety etc. were provided.
en
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Phosphoric Acid
Phosphate Rock
Phosphate Ore
attack reactor
filter system
Research Subject Categories::TECHNOLOGY
Phosphoric Acid Production from Phosphate Ore
Capstone Project
oai:nur.nu.edu.kz:123456789/52362021-01-25T21:01:03Zcom_123456789_79com_123456789_67col_123456789_824
Amankhan, Assilkhan
Kural, Askat
2021-01-25T09:24:02Z
2021-01-25T09:24:02Z
2020-04-27
http://nur.nu.edu.kz/handle/123456789/5236
This study has specifically focused to
develop a multi-functional Smart Meter
(SM) which would be able to address
some of the challenges currently
available in the conventional digital
automated metering system in Eurasia.
SMs with its unique performance
with the Internet of Things (IoT) tend
to be an efficient system for electricity
management, secure against the intervention
by third parties, and reliable
for real-time remote monitoring and
tracking via mobile application as well
as web application. IoT-based architecture
of SM is proposed along with
employing anti-theft algorithms and
Long Short-Term Memory (LSTM) load
forecasting that can assist in maintaining
energy management systems [1].
For industrial purpose, SM enables the
customers to monitor the ageing and
vibration of the transformer in order to
adjust loading for the life extension of
the transformer. The consumption patterns
obtained by SM are studied and
discussed.
en
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Long Short-Term Memory
LSTM
Smart Meter
Load Forecasting technique
Internet of Things
IoT
SM
Research Subject Categories::TECHNOLOGY
SMART METER DESIGN AND IMPLEMENTATION USING LOAD FORECASTING TECHNIQUE
Capstone Project
oai:nur.nu.edu.kz:123456789/54322021-05-28T21:00:52Zcom_123456789_79com_123456789_67col_123456789_824
Beisekenov, Ildar
Shaikholla, Sabit
Suleiman, Zhanybek
Tokbergenova, Akmaral
2021-05-28T08:26:22Z
2021-05-28T08:26:22Z
2021-05
Beisekenov, I., Shaikholla, S., Suleiman, Z. & Tokbergenova, A.(2021). Maturity Assessment in Industry 4.0 – A Comparative Analysis of Kazakhstan and Norway Oil and Gas Companies (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/5432
The widespread introduction of new technologies in all spheres of production in the
modern world is acquiring a global scale and transforming all established processes. This
next industrial revolution in the history of humanity, called Industry 4.0, completely change
the vision and processes of modern production and makes it more efficient, high quality
and profitable. Many companies are already actively introducing technologies of the fourth
industrial revolution, while others are just starting this path of technological progress. To
determine the current status of the implementation of Industry 4.0 in various production
areas, special models for assessing the maturity of Industry 4.0 have been developed. There
are several options for assessing the maturity of Industry 4.0 in companies. However, all of
them aim to assess enterprises in any industry area, but not aimed at assessing a specific
industry.
The oil and gas industry is one of the largest and most profitable extractive
industries. To introduce Industry 4.0 technologies into this industry, it is necessary to assess
the current state of oil and gas enterprises and analyze their readiness to introduce
technologies of this level. Among the existing models for assessing maturity, there is a lack
of a maturity model that would be specifically aimed at assessing enterprises in the oil and
gas industry, which complicates the process of objectively assessing the readiness of an
enterprise for Industry 4.0.
To fill the existing gap and be able to assess the enterprises of the oil and gas sector
for the implementation of Industry 4.0, we propose a model for assessing the readiness of
enterprises for Industry 4.0, adapted specifically for the oil and gas industry. This model
aims to assess the maturity of companies in the field of upstream oil and gas and is
presented in the form of a survey, providing an opportunity for companies to obtain one of
5 possible levels of maturity.
The proposed maturity assessment model is based on existing maturity assessment
models and a study of the available literature in the oil and gas industry. To test the model
in practice and determine its relevance and applicability, we have assessed companies using
the newly developed maturity model in Kazakhstan and Norway, for which the oil and gas
industry is crucial.
To analyze the results of the companies, the following methods were used: 1) use of the best-worst weighting method to determine the significance of specific measurements
when calculating the maturity level; 2) making recommendations for companies to increase
the maturity level of Industry 4.0 in each company; 3) creating a roadmap for the company
in the form of a GAP framework.
Our proposed model will help companies determine the current maturity level of
Industry 4.0, based on the results of the maturity model, identify bottlenecks for further
development, as well as receive several recommendations aimed at filling these bottlenecks
and increasing the maturity level of Industry 4.0 in the company as a whole.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Industry 4.0
maturity assessment model
oil and gas industry
Kazakhstan
Norway
best-worst method
GAP framework
Research Subject Categories::TECHNOLOGY
Type of access: Gated Access
MATURITY ASSESSMENT IN INDUSTRY 4.0 – A COMPARATIVE ANALYSIS OF KAZAKHSTAN AND NORWAY OIL AND GAS COMPANIES
Capstone Project
oai:nur.nu.edu.kz:123456789/54332021-05-28T21:00:49Zcom_123456789_79com_123456789_67col_123456789_824
Amangeldiyev, Abylay
Makhmutkaliyeva, Aidana
Orazgali, Bektas
Beltenov, Nurtay
2021-05-28T08:57:03Z
2021-05-28T08:57:03Z
2021-05
Amangeldiyev, A., Makhmutkaliyeva, A., Orazgali, B. & Beltenov, N. (2021). Fault Recognition and Diagnosis in Industrial Equipment Using Sensory Data and Recurrent Neural Networks (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/5433
Industries face a problem with unexpected failure of equipment and their parts, which often leads to operation stoppage and increased costs. In order to decrease abovementioned risks, it is needed to implement predictive maintenance techniques, by analyzing equipment condition in a real-time manner and evaluating its performance by applying data analysis techniques and machine learning algorithms. This Capstone project analyses bearings, commonly used in the rotary equipment and fault types associated with them. Retrieved vibration sensor data from University of Stavanger and Case Western Reserve University Bearing Data Center are preprocessed and analyzed in time-domain and frequency-domain for feature extraction. Extracted features are then used in the training and testing of Recurrent Neural Network (RNN) and Support Vector Machine (SVM) algorithms to diagnose the condition of the bearings and to identify the location of failure. As a result, the performance of RNN in comparison with SVM at different conditions was analyzed and further recommendations in this research field were provided.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Ball Pass Frequency
Analysis of Variance
ANOVA
Impulse Factor
Machine Learning
Research Subject Categories::TECHNOLOGY
Type of access: Gated Access
FAULT RECOGNITION AND DIAGNOSIS IN INDUSTRIAL EQUIPMENT USING SENSORY DATA AND RECURRENT NEURAL NETWORKS
Capstone Project
oai:nur.nu.edu.kz:123456789/54342021-05-28T21:00:23Zcom_123456789_79com_123456789_67col_123456789_824
Zhanabayev, Asset
Kamidollayeva, Nadira
Toremurat, Shynggys
Ibrayeva, Zhanar
2021-05-28T09:10:52Z
2021-05-28T09:10:52Z
2021-05
Zhanabayev, A., Kamidollayeva, N., Toremurat, S. & Ibrayeva, Z. (2021). Developing a Dynamic Data Analytics Model for Increasing the Efficiency of the Planning and Decision-Making Processes at Kazakhstan Temir Zholy (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/5434
This study was conducted by Nazarbayev University graduate students in
collaboration with National Railway Company – Kazakhstan Temir Zholy. Company
generates a huge amount of data that could be processed and analyzed in order to optimize
its operations. The aim of this capstone project is to develop dynamically updated data
driven decision supporting tool for the company. Another aim is to develop metrics and
KPIs based on the provided input data in order to adequately assess company performance.
Data provided by company includes 4.6 million rows covering routes, train numbers,
stations, departure dates, number of passengers travelling, number of tickets sold, day of
the week information. To handle and process such amount of information data analytics
approach was used. As part of research literature review was performed covering areas of
capacity management, capacity utilization factors, practices to increase efficiency, metrics
and KPIs and visualization approaches. Next, methodology was developed that included
data gathering, data analysis, creation of dashboard in Power BI, data visualization, cost
analysis of carrying one wagon. In results part seven dashboards were developed that deal
with location, route, station, wagon class, utilization, excess wagons, and seasonality. Based
on the findings of this dashboards the implications for practice were drawn. These include
remove excess wagons, examine dashboards to take decisions on consolidating stations or
modifying frequencies, investigate opportunity to shape different type of trains based on
capacity needs, exploit data from wagon class to improve marketing strategy and pricing
policy.
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Research Subject Categories::TECHNOLOGY
Type of access: Gated Access
passenger transportation
capacity utilization
railways KPI
visualization dashboard
decision-support tool
DEVELOPING A DYNAMIC DATA ANALYTICS MODEL FOR INCREASING THE EFFICIENCY OF THE PLANNING AND DECISION-MAKING PROCESSES AT KAZAKHSTAN TEMIR ZHOLY
Capstone Project
oai:nur.nu.edu.kz:123456789/54352021-05-28T21:00:42Zcom_123456789_79com_123456789_67col_123456789_824
Kurtayev, Meirzhan
Rush, Nurtas
Yeltay, Shynggyskhan
Zharkenov, Iskander
2021-05-28T10:43:11Z
2021-05-28T10:43:11Z
2021-05
Kurtayev, M., Rush, N., Yeltay, S. & Zharkenov, I. (2021). Development of a Lifecycle Costing Model for Corrective Maintenance Operations at “Alstom Kazakhstan” (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/5435
This capstone project is performed in partnership with "Alstom Kazakhstan". Alstom is the leading international company operating in rail transport markets. "Alstom Kazakhstan" performs both production and maintenance of locomotives. This capstone project aims to develop life-cycle costing (LCC) model for corrective maintenance of locomotives. This LCC model shall process and combine different input factors, such as the WBS structure of locomotives spare parts, purchase prices of spare parts, relevant labour hours and costs needed for repair and replacement operations, and other data. The LCC model shall calculate specific values and metrics required for budgeting and managerial decision making, such as expected total costs for corrective maintenance, breakdown of costs by category, expected labour hours, and others. The model shall also contain dashboards and visual reports to facilitate managerial decision making. The company has previously developed an LCC model based on Microsoft Excel, however, this existing model has several drawbacks. In the capstone project, we analyze the existing model, identify areas for improvement, redesign the LCC model concept considering current leading industry practices, and reimplement the LCC model from scratch using Power BI software. We have used Microsoft Power BI software in our technical implementation and its embedded languages, including M (for data processing) and DAX (for business logic and calculations). Furthermore, in our model, we have implemented several key improvements, which were not present in the original (legacy) LCC model from the company: (i) incorporation of concepts of financial modelling, such as time value of money, and (ii) incorporation of inventory management calculations, such as calculation of Economic Order Quantity (EOQ). We have also developed dashboards for the end-users and implemented several additional improvements. The new LCC model developed in this capstone project offers several advantages for the company, such as: (i) it has better data structure based on the relational data model, (ii) it is more maintainable and updatable, (iii) it is more understandable for the users, (iv) it is more modern (being based on more modern software like Microsoft Power BI), and (v) it has better computational performance. The methodology and toolset used in this capstone project can be relevant for other research problems in engineering and business modelling.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Type of access: Embargo
Research Subject Categories::TECHNOLOGY
Economic Order Quantity
EOQ
life-cycle costing
LCC
DEVELOPMENT OF A LIFECYCLE COSTING MODEL FOR CORRECTIVE MAINTENANCE OPERATIONS AT “ALSTOM KAZAKHSTAN”
Capstone Project
oai:nur.nu.edu.kz:123456789/54372021-05-31T21:00:37Zcom_123456789_79com_123456789_67col_123456789_824
Segizbayev, Zhantileu
Zhunussova, Saida
Baizhanova, Madina
2021-05-31T03:32:05Z
2021-05-31T03:32:05Z
2021-05
Segizbayev, Z., Zhunussova, S. & Baizhanova, M. (2021). Multimodal Authentication Systems: A Consideration of System Integrity, Availability and Resilience Against Spoofing Attacksoptimisation of the Assortment Through E-Commerce Channels for an Fmcg Retail Company Using Data Analytics Techniques on Big Datasets (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/5437
The e-commerce market has been increasingly growing worldwide within the last years. With the spread of the COVID-19 pandemic and the strict lockdown conditions, many businesses, including retail firms, started moving to the online format. In Kazakhstan, the companies that are willing to gain a competitive advantage also adopted selling through online channels. The largest fast-moving consumer goods (FMCG) retailer in Kazakhstan, Magnum Cash&Carry, decided to enter the e-commerce market during the pandemic by launching Magnum Go online shopping mobile app. Due to the limited time constraints, the company did not adopt its wide range of assortment to the preferences of online customers. Thus, the primary goal of this paper is to improve the product assortment of Magnum Go, considering the findings of the literature review, comparison of sales, competitor's analysis, and benchmarking. Moreover, the further objectives include developing new categorisation and listing algorithm and evaluation of Magnum Go mobile app ergonomics.
The methodology consisted of three main approaches: data collection and pre-processing, data analysis and inference, and data visualisation. Besides, this paper describes using practical data analytics tools such as Microsoft Excel and Tableau for data processing and representation. The literature review outlines the role of applying big data analytics in e-commerce, the importance of assortment management, categorisation and listing strategies, and web and mobile app ergonomics.
The research results include the following parts: analysis of Magnum's offline and online sales, competitors' analysis, new categorisation and listing, mobile app ergonomics assessment, and interactive dashboard. The sales analysis of two different channels revealed the variation in customers preferences. The product assortment in offline and online stores, therefore, should also differ. Competitor analysis allowed comparing the company's assortment size with leading Russian FMCG retailers. The results showed that Magnum offers a considerably higher number of non-food products. Besides, this paper proposed implementing new categorisation and listing based on the extensive sales and competitors’ analysis. Finally, the assessment of mobile apps indicated some areas for improvement in the functionality and interface of Magnum Go.
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Research Subject Categories::TECHNOLOGY
Type of access: Embargo
fast-moving consumer goods
FCMG
datasets
e-commerce
OPTIMISATION OF THE ASSORTMENT THROUGH E-COMMERCE CHANNELS FOR AN FMCG RETAIL COMPANY USING DATA ANALYTICS TECHNIQUES ON BIG DATASETS
Capstone Project
oai:nur.nu.edu.kz:123456789/57572022-01-13T07:32:48Zcom_123456789_79com_123456789_67col_123456789_824
Akhmetkaziyev, Yerassyl
2021-09-10T07:25:17Z
2021-09-10T07:25:17Z
2021
Akhmetkaziyev, Y. (2021). Performance Evaluation of Satellite-Terrestrial Networks (Unpublished Capstone project). Nazarbayev University, Nur-sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/5757
The Capstone II project investi gates non-orthogonal multiple access
(NOMA) assisted cognitive satellite terrestrial network which is practically
limited by channel state informa tion mismatch, interference noises,
imperfect successive interference
cancellation as well as transceiver
hardware impairments. Generalized
coverage probability expressions for
terrestrial NOMA end-users in are
estimated taking into account the
impact of constraints caused by inter ference temperature. Finally, obtained
results are corroborated by Monte
Carlo simulations and compared with
the conventional orthogonal multiple
access scheme to demonstrate the
advantageous performance of the
system network under consideration.
Furthermore, the deteriorative impact
of practical limitations are studied.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Type of access: Open Access
Satellite-terrestrial network
non-orthogonal multiple access
PERFORMANCE EVALUATION OF SATELLITE-TERRESTRIAL NETWORKS
Capstone Project
oai:nur.nu.edu.kz:123456789/61782022-06-10T21:01:08Zcom_123456789_79com_123456789_67col_123456789_824
Shaimenov, Aidos
Khuzhaniyazova, Maida
Khamit, Kymbat
Khozhamuratova, Makpal
2022-06-06T04:12:11Z
2022-06-06T04:12:11Z
2022-05
Shaimenov, A., Khuzhaniyazova, M., Khamit, K. & Khozhamuratova, M. (2022). DEVELOPMENT OF AN EXPERT SYSTEM FOR INDUSTRY 4.0 IMPLEMENTATION (Unpublished capstone project). Nazarbayev University, Nur-Sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/6178
Kazakhstan is a modern state that keeps pace with the times and initiates the implementation of digital technologies for the development of production. The implementation of Industry 4.0 technologies requires a special precise approach, which will affect the performance of manufacturers and customer satisfaction.
The project is aimed to develop an expert system for the implementation of Industry 4.0. The stakeholders in the scope of the project are the production of small and medium-sized enterprises in Kazakhstan. To suggest relevant recommendations for enterprises, the expert system consists of a high-quality pool of recommendations, and an easy-to-understand maturity assessment model with an accurate algorithm. The importance of an expert system for enterprises is to address complexity with the assessment of maturity level and receive relevant recommendations to proceed on the path of digital transformation.
The deliverables of the project consist of two parts; (1) a pool of recommendations for the implementation of Industry 4.0 and (2) an expert system that assesses the maturity level of companies and suggests recommendations for the next steps towards digitalization. The pool of recommendations was developed based on a literature review from various sources, as well as through interviews with Industry 4.0 experts. The expert system has two subparts. The first subpart is a developed algorithm for a more accurate assessment of the level of maturity. The second subpart includes a model and an algorithm that is displayed in the form of a survey on the developed website.
In conclusion, the expert system assesses the level of maturity as well as provides a list of recommendations for enterprises. As the results of the expert system showed, in general, the level of maturity of Kazakhstani companies is low. Since the infrastructure of manufacturing enterprises is underdeveloped, there are also difficulties with the organization’s development strategy and personal employees' digital literacy. In addition, some enterprises doubt modernization effects on improvement of performance or reducing costs.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Type of access: Gated Access
Research Subject Categories::TECHNOLOGY
Industry 4.0
expert system
organization’s development strategy
digital literacy
DEVELOPMENT OF AN EXPERT SYSTEM FOR INDUSTRY 4.0 IMPLEMENTATION
Capstone Project
oai:nur.nu.edu.kz:123456789/61822022-06-10T21:00:52Zcom_123456789_79com_123456789_67col_123456789_824
Sharipova, Aigul
Tukupova, Akerke
Jemal, Kebir Mohammed
2022-06-06T09:39:44Z
2022-06-06T09:39:44Z
2022-05
Sharipova, A., Tukupova, A. & Jemal, K.M. (2022). BUILDING BUSINESS PROCESSES FOR THE INFORMATION SYSTEM OF THE EMERGENCY MEDICINE HOSPITAL (Unpublished capstone project). Nazarbayev University, Nur-Sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/6182
This project was carried out in collaboration with the National Coordination Center (NCC) to assist them in the development of Business Processes in the newly designed Emergency Hospital. The main aim of this project was to model, simulate and automate existing and newly designed processes with the help of digital tools- mainly Bizagi. Through a mapping process, existing BPs were standardized and modeled with the help of Bizagi Platforms, and later automated. Discrete outcomes include the design of BPs in 3 core areas of interest for the center, namely the Mobile Team of Medical Aviation, Dispatching Room, and Emergency Process. Level 1(Process Validation) was carried out successfully in this work and passed on to the consolidation stage. The consolidated model was automated using Bizagi Studio until Stage 6 of Business Process Automation. In order to validate the resulting model, descriptive statistics on the real-time data of existing processes were performed. Based on these observations, the average duration of 6 critical stages of the emergency process were calculated. Based on consultation with center representatives, 75% and 90% intervals were used to define, acceptable, at risk and unacceptable categories. The results were then input to Bizagi Studio to define acceptable time limits during the execution stage of the automated process.
Automated business processes are crucial in improving existing healthcare delivery in the context of Kazakhstan. This project lays the foundation in digitizing business processes, optimizing business flow and integrating activities with existing systems. This will lead to enhancements in process cycles, reductions in organizational redundancies and improvements in operational transparency. The outcome of this project highlights the necessity in transitioning to automated business processes using digital tools like Bizagi, which offer further integration to ERP systems, complete business architecture and the possibility for Business Process Reengineering (BPR).
This work provides an overall business architecture for Emergency Healthcare provision in the NCC, which offers the potential to be further expanded to include the remaining 12 processes and integrated in the delivery of Emergency healthcare in Kazakhstan at a wider level.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
BPR
Business Process Reengineering
ERP
National Coordination Center
NCC
Business Processes
Type of access: Gated Access
Research Subject Categories::TECHNOLOGY
BUILDING BUSINESS PROCESSES FOR THE INFORMATION SYSTEM OF THE EMERGENCY MEDICINE HOSPITAL
Capstone Project
oai:nur.nu.edu.kz:123456789/61832022-06-07T21:00:21Zcom_123456789_79com_123456789_67col_123456789_824
Ongarbayeva, Aizat
Abilman, Nazerkem
Issabekova, Assiya
Maksut, Daulet
2022-06-06T09:51:30Z
2022-06-06T09:51:30Z
2022-05
Ongarbayeva, A., Abilman, N., Issabekova, A. & Maksut, D. (2022). CIRCULAR INDUSTRY 4.0 IN THE MANUFACTURING SECTOR OF KAZAKHSTAN (Unpublished capstone project). Nazarbayev University, Nur-Sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/6183
The Oil and Gas (O&G) sector is one of the main industries in Kazakhstan and there are overall more than 200 oil and gas fields in Kazakhstan. The market change in the Oil and Gas (O&G) industry, effects of Covid 19 decreased demand for oil products and increased interest in alternative green and sustainable environments have increased the need for innovative, digitized and green production, as a Circular economy (CE) has successful practices in developed countries. This has attracted some researchers to investigate Industry 4.0 (I4.0) and CE in the n O&G sector. However, there is a gap among Kazakhstani researchers, regarding Circularity and digitization perspectives in O&G. Therefore, there is a need to develop a research on CE and I4.0 in the O&G sector, specifically in the upstream sector and develop the Circular O&G 4.0 framework with a guideline for improving circularity through digital tools in O&G Exploration and Production. Keywords: Circular economy, Industry 4.0, Oil and Gas industry, Upstream, Kazakhstan, Sustainability
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Circular economy
Industry 4.0
Oil and Gas industry
Upstream
Kazakhstan
Sustainability
Type of access: Gated Access
Research Subject Categories::TECHNOLOGY
CIRCULAR INDUSTRY 4.0 IN THE MANUFACTURING SECTOR OF KAZAKHSTAN
Capstone Project
oai:nur.nu.edu.kz:123456789/61852022-06-08T21:00:25Zcom_123456789_79com_123456789_67col_123456789_824
Ayapbergenov, Alibek
Yedilova, Aruzhan
Zhanaliyev, Askar
Kospagambetov, Medet
2022-06-06T10:39:02Z
2022-06-06T10:39:02Z
2022-05
Ayapbergenov, A., Yedilova, A., Zhanaliyev, A. & Kospagambetov, M. (2022). DEVELOPMENT OF A PREDICTIVE TOOL FOR MACHINE FAILURE TIMES USING ADVANCED DATA ANALYTICS METHODS (Unpublished capstone project). Nazarbayev University, Nur-Sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/6185
Any company in the industrial sector requires constant and uninterrupted operation of its systems as it directly affects an organization's success. Both planned and unplanned line stoppages result in excessive production losses, thus imposing adverse effect on the firm’s profitability. The incorporation of the predictive maintenance practices enables firms to find a “golden mean” between conducting unnecessary scheduled repairs and preventing from unexpected downtimes due machine breakdowns. This study encompasses development of two predictive maintenance models using Machine Learning (ML) algorithms to increase the current system reliability of JTI’s company. One of the model is based on the Long Short-Term Memory (LSTM) to predict the emergence of next alarm, whilst the second model estimates the Remaining Useful Life (RUL) of the machines. The preliminary results revealed that both models showed an acceptable performance with an accuracy rate of 60% for the first model, and Mean Squared Error (MSE) of 134 minutes for the second model. Although the performance values of the models are not excellent, they are still meaningful and the methods are robust and can be implemented to the firm’s operations in order to facilitate maintenance decisions on key machines.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
golden mean
MSE
Mean Squared Error
Long Short-Term Memory
LSTM
Machine Learning
preditcitve tool
data analysis
Type of access: Gated Access
Research Subject Categories::TECHNOLOGY
DEVELOPMENT OF A PREDICTIVE TOOL FOR MACHINE FAILURE TIMES USING ADVANCED DATA ANALYTICS METHODS
Capstone Project
oai:nur.nu.edu.kz:123456789/62162022-06-10T21:01:16Zcom_123456789_79com_123456789_67col_123456789_824
Bazarbekova, Aliya
Asylbekov, Batyrzhan
Abduvali, Durbek
Mashpiyev, Nurzhan
2022-06-10T08:20:33Z
2022-06-10T08:20:33Z
2022-05
Bazarbekova, A., Asylbekov, B., Abduvali, D. & Mashpiyev, N. (2022). DEVELOPMENT OF A WEB-BASED, ASSET VISUALIZATION AND OPERATIONAL MONITORING TOOL (Unpublished capstone project). Nazarbayev University, Nur-Sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/6216
The ERG Science and Engineering Center contributes many projects for their organizations and requires a lot of data from assets, but there is no simplified and easily accessible visualization tool that integrates industrial processes of the transformation of raw materials into finished products for their factories with detailed information. Therefore, the main scope of the project is to visualize and simulate the three-level refinement processes at the Donskoy Mining and Processing Plant (DMPP), as well as to construct a knowledge base tool for each level of the processes.
In the current state, the ERG Science and Engineering Center has several types of schematics that they can work with, but they are not interactive and are difficult to use and understand because it takes time to read and go through the industrial processes. Separate diagrams include graphical representations of hardware, process diagrams and general scheme of the process of ore concentration. The main work of the project is to model these processes and combine them into one easily readable diagram, which will be provided to the company for their further work. To complete the project, our team will experiment with model software tools such as Bizagi Modeler, Power BI, Microsoft Visio and employ these tools to build one overall diagram with multiple levels of processes including the data calculated in Excel.
Eventually, the following outcomes have been identified and set:
1. Three level modeling of refinement processes in DMPP using Bizagi Modeler;
2. Power BI report as a dashboard that includes dynamic database, MS Visio schemes and analytics of historical data of the plant;
3. MS Excel as a simulation tool with input field to output all data matrices for each process with its subprocesses;
4. A centralized file or a diagram which will serve as a knowledge base tool that connects the visualization and modeling.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Type of access: Gated Access
Research Subject Categories::TECHNOLOGY
Donskoy Mining and Processing Plant
DMPP
Power BI
Excel
Visio
DEVELOPMENT OF A WEB-BASED, ASSET VISUALIZATION AND OPERATIONAL MONITORING TOOL
Capstone Project
oai:nur.nu.edu.kz:123456789/62172022-06-10T21:01:19Zcom_123456789_79com_123456789_67col_123456789_824
Maldenov, Nurzhan
Zholdasbayeva, Assel
Rakhmetalina, Amina
Yermek, Margulan
2022-06-10T08:34:26Z
2022-06-10T08:34:26Z
2022-05
Maldenov, N., Zholdasbayeva, A., Rakhmetalina, A. & Yermek, M. (2022). IMPROVEMENT OF ONLINE MARKETING STRATEGIES AND OPERATIONS OF DEFACTO (Unpublished capstone project). Nazarbayev University, Nur-Sultan, Kazakhstan
http://nur.nu.edu.kz/handle/123456789/6217
The rapid development of digital technologies has led to the emergence and growth of e-commerce. The Covid-19 pandemic has accelerated the transition from physical stores to online marketplaces. E-commerce has made shopping more convenient for shoppers and at the same time has become a competitive advantage for companies striving to expand their audience. The global development of e-commerce has also affected Kazakhstan, where the volume of online sales increased by 80% in 2020. Despite such significant growth, there are still barriers in Kazakhstan for companies that want to develop online sales. DeFacto is a Turkish clothing brand that launched online sales in Kazakhstan in 2018. At the moment, the company is facing stagnation in online sales and is looking for ways to improve its performance in Kazakhstani online market. The purpose of this study is to analyse online sales in Kazakhstan, identify the needs of local buyers, and compile a list of recommendations for sales development.
The whole methodology consists of three parts – data collection, data analysis, and preparation of recommendations. The data was collected from expert interviews, market analysis, consumer behaviour survey, user experience research, and qualitative and quantitative data from DeFacto. Based on the results of data collection, further analysis was divided into two parts – optimization of the online sales process and searching for tools to promote the company. The data analysis was performed with the help of the House of Quality and the AARR (Acquisition, Activation, Retention, Referral) framework.
The results showed thaft the main barrier to the development of online sales in Kazakhstan is the distrust of the audience towards sellers. This is exacerbated by the existing risk that the product does not meet the customers' expectations in terms of clothing sizes, tailoring, and material. The major recommendations to improve the online sales process included the addition of a detailed product description, a customer reviews section, as well as the ability to try on the product and return it to the courier. Recommendations for product promotion were given for each stage of the customer journey. They included SEO optimization, targeted social media advertising, email marketing, and referral program.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Type of access: Gated Access
Covid-19 pandemic
digital technologies
e-commerce
online marketplaces
AARR
Acquisition, Activation, Retention, Referral
IMPROVEMENT OF ONLINE MARKETING STRATEGIES AND OPERATIONS OF DEFACTO
Capstone Project
oai:nur.nu.edu.kz:123456789/70502023-05-22T09:21:16Zcom_123456789_79com_123456789_67col_123456789_824
Dukenderov, Azim
Raiymbekova, Aidana
Pivovarova, Sanim
2023-05-22T09:21:13Z
2023-05-22T09:21:13Z
2023
Dukenderov, Az.Raiymbekova, A. Pivovarova, S. (2023). Business model design for strategic sustainable development of rail LLP. School of Engineering and Digital Sciences
http://nur.nu.edu.kz/handle/123456789/7050
In a world of challenges and competitiveness, the striving toward innovation becomes essential for businesses and firms. Developing or reconfiguring business models is crucial and at times disregarded aspect of innovation, proven to be a more dependable generator of competitive advantage than new products and services. Furthermore, the business model is recommended as a tool for analyzing sustainability-related issues. The aim of this work is to design a business model for the strategic sustainable development of Robotics & AI Limited LLP (RAIL LLP) company specializing in robotic rehabilitation for people after neurological disorders. This includes creating a financial model in Excel that is adaptive to changing environments, flexible to meet new production capacities and limitations, and fully controllable. Also, the vision, mission and goals of the company should be created because they serve as a strategic compass for companies, providing a clear direction for growth and development while aligning all members of the organization toward a common objective. Likewise, a SWOT analysis and PESTLE analysis offer valuable insights into the internal and external factors that may influence the company's operations and future expansion. Moreover, a review of the current market is conducted through a competitor analysis of exoskeleton providers. As well as critical success factors are identified that will significantly impact its potential growth in the market. By leveraging these tools, companies can make informed decisions and develop effective strategies to overcome challenges, capitalize on opportunities, and achieve sustainable success.
en_US
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Attribution-NonCommercial-ShareAlike 3.0 United States
Financial model
Business model
Competitive advantage
SWOT analysis
PESTLE analysis
Strategic sustainable development
Robotic rehabilitation
Competitor analysis
Robotics & AI Limited LLP (RAIL LLP)
Competitive advantage
Critical success factors
Product - service
Type of access: Restricted
BUSINESS MODEL DESIGN FOR STRATEGIC SUSTAINABLE DEVELOPMENT OF RAIL LLP
Capstone Project
oai:nur.nu.edu.kz:123456789/70642023-05-24T21:01:18Zcom_123456789_79com_123456789_67col_123456789_824
Abilez, Almat
Madiyarova, Tomiris
Safin, Serzhan
Tagay, Adilet
2023-05-24T06:31:51Z
2023-05-24T06:31:51Z
2023
Abilez, A. Madiyarova, T. Safin, S. Tagay, A. (2023). Impact Assessment of Real-World Large-Scale Oil and Gas Projects with Fuzzy Data. School of Engineering and Digital Sciences
http://nur.nu.edu.kz/handle/123456789/7064
The proposed capstone project aims to address the limitations of current MCDA methods and develop a more effective tool for decision-making in the oil and gas industry, particularly oilfield selection. The project will focus on the application of three MCDA methods: SPOTIS, COMET, and MCDA Index Tool. These methods will be evaluated based on their ability to address the challenges specific to the oil and gas industry, including various factors.
The study will also explore the feasibility of developed comprehensive tool that can effectively address all the criteria required for generating valid results. This tool will be tailored to the unique characteristics of the oil and gas industry, and it will incorporate the various objectives and criteria that are essential for making informed decisions in this sector.
The project will utilize a combination of literature review and case studies to investigate the effectiveness of the three MCDA methods and their applicability for the oil and gas industry. The study will also explore the factors that need to be considered in the development of the decision-making tool in this industry, including the availability and quality of data, the level of uncertainty and risk, and the stakeholder preferences.
The expected outcomes of this project include a deeper understanding of the challenges and limitations of current MCDA methods in the oil and gas industry, as well as insights into the potential for developing a more effective and comprehensive tool for decision-making in this sector. The results of this study could have significant implications for the oil and gas industry, as well as for other industries that require a systematic approach to decision-making.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Type of access: Restricted
MCDA
O&G Industry
MCDA Index Tool
SPOTIS
COMET
IMPACT ASSESSMENT OF REAL-WORLD LARGE-SCALE OIL AND GAS PROJECTS WITH FUZZY DATA
Capstone Project
oai:nur.nu.edu.kz:123456789/70712023-05-24T21:01:25Zcom_123456789_79com_123456789_67col_123456789_824
Suranshy, Akzhan
Nabidollayeva, Fatima
Maulenkul, Saule
Omarov, Temirlan
2023-05-24T10:58:41Z
2023-05-24T10:58:41Z
2023
Suranshy, A. Nabidollayeva, F. Maulenkul, S. Omarov, T. (2023). Optimizing inventory costs for food products In metro Kazakhstan through effective Forecasting and target stock level evaluation. School of Engineering and Digital Sciences
http://nur.nu.edu.kz/handle/123456789/7071
Metro Cash and Carry Kazakhstan LLP, one of the biggest wholesale companies in
Central Asia, needs robust and reliable demand forecasting techniques to maintain its position
as a B2B leader in the market. Accurate forecasting algorithms are essential to plan inventory,
manage supply chain operations, optimize sales, and ultimately improve customer
satisfaction. By applying advanced demand forecasting techniques (machine learning and
advanced statistical methods) the company can acquire valuable insights into market trends,
empowering the business to take well-informed decisions and stay competitive in the market.
The report demonstrates the results of a study that is aimed to improve demand
forecasting for Metro Cash and Carry Kazakhstan. The study contrasted the company's current
demand forecasting algorithm with statistical and machine learning approaches for different
products and stores. In terms of RMSE for both products and stores, the statistical approach
WMA, and the machine learning method LightGBM yielded the best results. Also, the study
assessed the performance of WMA and LightGBM by forecasting demand on a daily and
weekly basis for five products and three stores additionally. The findings showed that WMA
was more accurate at forecasting weekly demand values than LightGBM but could not
outperform the machine learning method on a daily forecasting basis in terms of RMSE. For
the validation purpose of the forecasting results, the actual sales data was compared with the
forecasted results by RMSE at every step of the project. Additionally, the forecasted demand
data was used in the Simulation to calculate inventory costs in comparison with the company's
forecasting method. Both WMA and LightGBM significantly saved inventory costs (ordering,
holding, and stock-out costs). Moreover, the company's Target Stock Level (TSL) is compared
with suggested TSLs while analyzing target stock levels for two product categories. As a
result, the analysis showed that the proposed TSL was smaller than the company's TSL, which
decreased the total inventory cost. Moreover, the proposed TSL was validated with actual
sales of categories to ensure that the proposed TSL meets all customer demands. The project
concludes that the suggested strategies can improve the accuracy of demand forecasts, hence
increasing product availability levels, and decreasing total inventory costs, potentially
enhancing competitiveness and economic returns. For future work, it was suggested to
develop a general guideline for using proposed forecasting techniques for various food
product categories. Similarly, it was recommended to expand the calculation of the proposed
TSL to other local food categories.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Type of access: Restricted
stock availability
forecasting
WMA
LightGBM
Target Stock Level
Simulation
Total Inventory cost
OPTIMIZING INVENTORY COSTS FOR FOOD PRODUCTS IN METRO KAZAKHSTAN THROUGH EFFECTIVE FORECASTING AND TARGET STOCK LEVEL EVALUATION
Master's thesis
oai:nur.nu.edu.kz:123456789/70722023-05-24T21:01:27Zcom_123456789_79com_123456789_67col_123456789_824
Baisalov, Asset
Berdengorov, Serzhan
Saduakas, Dilyara
Tillabek, Gulbanu
Zhabagina, Raushan
2023-05-24T11:16:41Z
2023-05-24T11:16:41Z
2023-04
Baisalov, A. Berdengorov, S. Saduakas, D. Tillabek, G. Zhabagina, R. (2023). Assessment of the readiness of the Kazakhstani electric power transmission and distribution systems for digitalization and the development of a mathematical model in preparation for digitalization. School of Engineering and Digital Sciences
http://nur.nu.edu.kz/handle/123456789/7072
This report addresses the increasing significance of digitalization in the energy sector and the pivotal role that the Common Information Model (CIM) plays in realizing this objective. Kazakhstan, a developing nation with a growing economy, recognizes the importance of digitalizing its energy sector to enhance its efficacy and sustainability. The current project seeks to evaluate various factors that impact the degree of digitalization in industrial organizations and at the level of individual companies. This endeavor begins with examining the grid reference architecture implementation at the Astana REC. The project's scope encompasses a literature review, an analysis of international best practices, and data collection from REC Astana to construct and test a mathematical model for optimizing network performance while minimizing power losses. This is conducted as a component of the inquiry to determine potential roadblocks to algorithm implementation. The primary deliverables of the project include suggestions for industry organizations and a benchmarking system to assess a company's preparedness for digitalization.
The proliferation of digital technologies in the energy sector has transformed traditional business models and operations.
Digitalization offers multiple benefits to the energy industry, including greater efficiency, sustainability, and innovation. In Kazakhstan, the government's strategy for sustainable economic growth acknowledges the need to digitalize its energy sector to improve productivity and reduce costs. However, achieving this goal requires a comprehensive understanding of the digitalization process and the challenges that must be overcome.
The Common Information Model (CIM) is essential for digitalizing the energy sector. CIM is a standardized model for representing power system components and their interactions, which provides a common language for system operators and software developers. The adoption of CIM facilitates the integration of various digital applications into the energy sector and enables interoperability between different systems. CIM is a foundational framework for developing smart grid systems, which support efficient management of power networks, reduce power losses, and enable real-time data analysis.
3
The project methodology includes a literature review of academic papers and industry reports on digitalization in the energy sector. The literature review provides an overview of current research and best practices for digitalization. Analyzing international best practices in digitalization offers valuable insights into successful strategies that can be implemented in Kazakhstan's energy sector.
The case study analysis of REC Astana provides a detailed examination of the organization's digitalization process. The case study evaluates the smart grid reference architecture implementation and the challenges encountered in the process. The case study analysis forms the basis for developing the mathematical model for reducing power losses.
The project results contribute to the identification of bottlenecks and opportunities in the digitalization process and assess industry organizations' readiness for digitalization. The recommendations for industry organizations provide a roadmap for digital transformation, while the benchmarking system enables the assessment of a company's preparedness for digitalization.
The project's outcomes are valuable for Kazakhstan's energy sector and contribute to the country's broader sustainable economic development goals.
en
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Attribution-NonCommercial-ShareAlike 3.0 United States
Type of access: Restricted
Kazakhstani electric power transmission
digitalization
ASSESSMENT OF THE READINESS OF THE KAZAKHSTANI ELECTRIC POWER TRANSMISSION AND DISTRIBUTION SYSTEMS FOR DIGITALIZATION AND THE DEVELOPMENT OF A MATHEMATICAL MODEL IN PREPARATION FOR DIGITALIZATION
Capstone Project
oai:nur.nu.edu.kz:123456789/71402023-05-31T21:00:49Zcom_123456789_79com_123456789_67col_123456789_824
Aitbayev, Alisher
Baimukhan, Yersultan
Maikhanov, Yermukhan
Shaimakhanov, Ramazan
Uvaliyev, Adil
2023-05-31T06:55:21Z
2023-05-31T06:55:21Z
2023
Aitbayev, A. Baimukhan, Y. Maikhanov, Y. Shaimakhanov, R. Uvaliyev, A. (2023). Artificial Intelligence based Chatbot for Kcell SuperApp. School of Engineering and Digital Sciences
http://nur.nu.edu.kz/handle/123456789/7140
It is important to highlight the significance of customer relationships for
telecommunication companies like Kcell. Hence, by providing customers with quick and
efficient channels to communicate and receive support, Kcell can improve customer
satisfaction and ultimately contribute to customer retention rate. This project serves as a
practical example of how state-of-the-art technologies, such as machine learning
algorithms and chatbots, can be implemented to optimize and improve customer service
in the telecommunication industry. In detail, the project is about the full development
process of a chatbot using a machine learning algorithm. The main purpose of the chatbot
is to assist clients of Kcell JSC with their questions related to the use of
telecommunication services and operations in a prompt manner. The frontend of the
chatbot is deployed on the Telegram platform and integrates to all platforms as Web,
Android, and iOS. The backend of the chatbot with an algorithm that uses machine
learning is deployed on Amazon Web Services EC2. The project includes the backend
with the design and implementation of a PostgreSQL database in Amazon Web Services
relational database service to store and manage the chatbot's backend data as well as user
feedback about the chatbot and chat logs. A machine learning model is trained on a
dataset obtained from a survey specifically designed for cellular operator users and from
artificially generated ones. Under-the-hood algorithm aims to provide an efficient and
user-friendly solution for telecommunication mobile questions, inquiries, and issues as in
Frequently Asked Questions (FAQ), ultimately improving the user experience and
increasing customer satisfaction due to the speed and accuracy of answers. Future work
of the project includes integration of chatbot functionality inside the Kcell mobile
application, expanding the dataset for machine learning algorithms to achieve better
training and testing in order to incorporate additional features and functionalities to
enhance the chatbot's capabilities.
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Type of access: Restricted
Kcell
telecommunication companies
ARTIFICIAL INTELLIGENCE BASED CHATBOT FOR KCELL SUPERAPP
Capstone Project
oai:nur.nu.edu.kz:123456789/72092023-06-07T21:01:48Zcom_123456789_79com_123456789_67col_123456789_824
Aidarkhan, Assanali
Salamat, Azamat
Issin, Nurkhan
2023-06-07T08:59:06Z
2023-06-07T08:59:06Z
2023
Aidarkhan, A. Salamat, A. Issin, N. (2023). Development of a crowdfunding web-platform to improve the effectiveness of medical fundraising for a charity fund. School of Engineering and Digital Sciences
http://nur.nu.edu.kz/handle/123456789/7209
Online medical crowdfunding has expanded the reach of charitable giving, bypassing the traditional barriers of geographic distance, institutional affiliation, or lack of personal connections. At the same time, lack of trust has emerged as the critical factor inhibiting success, especially in societies that are less comfortable with non-direct, and impersonal charitable giving. The aim of this project is to develop a new crowdfunding platform paradigm for a charity fund that simultaneously addresses the need for transparency and accountability and the need to create emotions of compassion and generosity. In typical medical crowdfunding, notions of trust at a deeper level, of compassion and of gratitude are often an afterthought, long after the design of the platform has been finalized and when there are limited opportunities for improvement. The innovative aspect of the proposed approach is that the need to tend to the human emotions of the donors is interweaved with the technical aspects of the platform design. To demonstrate the proposed approach, Qaiyrym.kz, an actual online medical crowdfunding platform has been built on behalf of Miloserdie, a specific charity organization in Kazakhstan. Initial results based on extensive testing with published cases of real patients demonstrate the feasibility and efficacy of the proposed platform in increasing donations for the charity organization. The platform managed to collect money and showed good performance compared to Miloserdie fund, though it might be attributed to the event organization and the audience specifics. Each feature implemented on our platform was analyzed based on the feedback and metrics results, which allowed us to assess their effectiveness and make some practical implications for crowdfunding platform managers and campaign initiators.
en
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
Attribution-NonCommercial-ShareAlike 3.0 United States
Type of access: Open Access
crowdfunding web-platform
medical fundraising
charity fund
DEVELOPMENT OF A CROWDFUNDING WEB-PLATFORM TO IMPROVE THE EFFECTIVENESS OF MEDICAL FUNDRAISING FOR A CHARITY FUND
Capstone Project