7264 research outputs found
Sort by
DESIGN OF “KENSEMAX BUSINESS CENTER” MULTI-STORY COMMERCIAL BUILDING IN SAN-FRANCISCO, USA
No full textThe main objective of this project is to design a multi-story commercial building located in San Francisco, California, USA. The address of the construction site is located at 2555 Irving St., Sunset District of San Francisco city. This project aims at increasing the commercial activity in the neighborhood by providing office spaces for companies of various sizes. The design is done by implementing previously obtained knowledge from courses in different disciplines of civil engineering, including architectural, structural, geotechnical, environmental design, and construction management.
The design of the structure and foundations was done according to the local building codes, mainly ASCE-7 by American Society of Civil Engineers and International Building Code (IBC). The design process involved performing hand calculations the results of which were then compared with the simulation results of software such as SAP2000, GEO5, and PLAXIS 3D.
The architectural and structural parts of the project focus on designing a structure that will be able to withstand the conditions from the surrounding environment, including seismic activity, corrosion, dead, live, and wind loads. The geotechnical part involves designing a proper foundation that will act as a support for transferring the structural loads from the building to the soil. Environmental design focuses on developing a strategy that will help to efficiently manage the waste produced by the daily activities of customers that rent the office spaces of the building. The purpose of construction management is to create a strategy for a more efficient allocation of resources, organizing the construction process into smaller tasks, reviewing various risks that may occur during the construction project
ВЛИЯНИЕ ВЛАСТНЫХ ОТНОШЕНИЙ НА СТРУКТУРУ ЭКОЛОГИЧЕСКИХ ИНСТИТУТОВ КАСПИЙСКОГО МОРЯ
No full textThe thesis aims to answer the research question “How do relatively less powerful states influence the formation of institutional designs?”. Institutional designs can be defined as sets of norms, principles, decision-making procedures and rules that reflect states’ interests and expectations in a certain issue of international relations, and power relationships between states play an important role in shaping the institutional designs. While it may be expected that institutional designs reflect the interests of only powerful states, the thesis aims to demonstrate that the relatively less powerful states are also able to push their interests. The contribution of the thesis is to identify mechanisms that enhance the ability of relatively less powerful states to promote their interests in forming institutional designs. In particular, it proves that derivative and particular-intrinsic powers can boost the influence of relatively less powerful states. The results are based on the analysis of Kazakhstan’s derivative and particular-intrinsic powers during the formation of the Tehran Convention. Kazakhstan’s particular-intrinsic power in the form of energy resources and derivative power represented in multivector foreign policy enabled Kazakhstan to attract the interests of more powerful states to cooperate with Kazakhstan and take actions to promote Kazakhstan’s environmental interests in the Caspian Sea. As a result of these mechanisms, the interests of Kazakhstan were reflected in the design of the Tehran Convention
THE EFFECT OF METFORMIN TREATMENT ON AUTOPHAGIC FLUX IN BREAST CANCER
No full textAutophagy is a lysosome-mediated intracellular catabolic process that is involved in many physiological and pathological conditions, playing an essential role in preserving cellular homeostasis. Consequently, several studies have indicated dysregulation of autophagy in pathological diseases such as cancer and neurodegenerative disorders. Among various cancer types, breast cancer remains the most common in the world. The increased demand for breast cancer treatment requires advanced therapies and new approaches. Metformin, a commonly prescribed drug for type 2 diabetes, has recently attracted attention as a possible pharmacological autophagy modulator with an anticancer activity. Therefore, the goal of this thesis is to clarify the intricate connection between autophagy and the antidiabetic medication metformin by examining its impact on autophagic flux in breast cancer cell lines
BUTLER MATRIX MINIATURIZATION FOR 5G COMMUNICATIONS AND BEYOND
No full textThis capstone project presents a miniaturized implementation of Butler’s beamforming
array on microstrip technology. Firstly, the basis of size reduction is obtained by developing a structure that behaves exactly as the quarter-wave transmission line segment at the operation frequency. Secondly, this structure is applied to reduce the area of higher-order components such as 3dB hybrid coupler and crossover. Then, the components are assembled into the layout of Butler Matrix where several components are reduced in size further. The obtained final structure takes up approximately two times less area at the cost of 20% theoretical bandwidth reduction. A 4-by-4 experimental setup is developed for validation at 2.5 GHz which corresponds to the lower 5G frequency band
DESIGN AND IMPLEMENTATION OF PUFS FOR AUTOMOTIVE APPLICATIONS
No full textThe automotive industry has undergone remarkable changes in recent times, characterized by an emphasis on the integration of complex electronic systems into vehicles. The goal of this evolution is to improve user experience, security and performance. However, this has also brought new challenges in ensuring the safety and reliability of automotive systems. To overcome these obstacles, this thesis focuses on creating Physical Unclonable Functions (PUFs) based on Field Programmable Gate Arrays (FPGAs) that are specifically suited for automotive applications. Since PUFs are inherently unpredictable and unique, they present a promising option for safe hardware authentication and protection against a wide range of security risks.
This study investigates the architectural layout, methods of application and the fundamental ideas behind FPGA-based PUFs. The proposed PUF design produces 128-bit distinct and unclonable identifiers (IDs) by utilizing the inherent manufacturing variances of FPGAs and provides a strong security measure. Thorough testing that extends the three standard performance metrics of uniqueness, uniformity, and reliability shows how well the implemented PUF design satisfies the demanding security and performance standards of automotive systems.
Resource utilization analysis highlights the design’s suitability for the resource-constrained automotive applications by revealing its efficiency in terms of power and FPGA resource consumption. The thesis also suggests future directions for investigation, such as the development of advanced error correction methods to increase the dependability of PUF responses, scalability improvements, and the integration of the PUF design with different automotive subsystems.
This thesis adds to the body of knowledge in the field of automotive security by providing a novel method for utilizing FPGA-based PUFs to improve the security infrastructure of contemporary vehicles through a thorough investigation and empirical evaluation. The study’s findings will have a major impact on the automotive industry and help create safer, more reliable and trustworthy automotive systems
MOTIVATION AND REMOTE WORKING: CASE STUDY OF ONE NATIONAL HIGHER EDUCATION INSTITUTION IN KAZAKHSTAN
No full textThe COVID19 pandemic has upended our life in many aspects. When the virus raged in 2020, many countries announced a state of emergency and launched a complete lockdown. In the conditions of the severe lockdown, social isolation and remote working came to the fore and were applied by all organizations, including higher education institutions. Kazakhstani institutions also pursued this route by launching remote work options for all university staff. This single descriptive qualitative case study explores motivation of university staff who worked remotely during the period of pandemic. Overall, 15 university staff members were interviewed. Data analysis revealed some fluctuations in motivation of university staff when they worked remotely during the pandemic. Along with this, it was clear that working remotely affected the perception of work and work setting by revealing both advantages and disadvantages. Thus, this research fills in the gap in the previous literature on motivation, focusing particularly on the period of the pandemic and remote working by bringing in the perspective of university staff
AN INNOVATIVE TRUNCATED GAUSSIAN COLLOCATED CO-SIMULATION APPROACH FOR STOCHASTIC MODELING OF GEOLOGICAL DOMAINS
No full textIn order to get a precise assessment of the quantity of mineral resources contained inside a deposit, it is necessary to create a comprehensive model that encompasses its geological domains. Efficient modeling of these geological domains (rock units, alteration types, and mineralization zones) is vital as they often serve as the mineralization controls of the deposit. Deterministic modeling tools such as wireframing make geological assumptions, especially in the intervals between drill holes, and so may yield incorrect conclusions about the complexity of the deposit in such intervals. Moreover, the uncertainty of rock units in unsampled places cannot be quantified using these deterministic modeling techniques. As such, methods for stochastic modeling are typically favored. The two most often used stochastic approaches that are better suited to address these shortcomings of the deterministic modeling of geo-domains are sequential indicator simulations and truncated/plurigaussian Gaussian simulations. The Truncated Gaussian simulation is an essential simulation approach for defining complicated geometry of rock units because it can accurately represent the spatial connection between rock units and quantify their uncertainty. However, long-scale geological structures like veins, faults, and fractures tend to be loosely modeled when employing this approach; in order to prevent this inaccuracy, soft data such as deterministic interpretive geological models can be used. In this project, the variability of rock units in the subsurface is assessed and the uncertainty in their occurrences in a gold deposit which is vein-dominated is quantified using the Truncated Gaussian simulation. A new method for modeling the rock units—in particular, the long-scale geological structures (veins in this case) is provided. The method involves integrating the conventional Truncated Gaussian simulation with a collocated co-simulation algorithm that is based on the inclusion of a local and global correlation coefficient parameter. The realizations are conditioned to data from drill holes and a machine learning algorithm-generated collated interpretive geological model. A number of realizations, 100 in total, are produced from both the local and global correlation co-simulations. The results show the practical spatial representation of the veins and other rock units as validated by the information from drill holes and also appropriately quantify the uncertainty associated with their occurrences compared to the conventional Truncated Gaussian
PERFORMANCE IMPROVEMENT OF RADAR IMAGING USING MACHINE LEARNING TECHNIQUES
No full texte project aims to facilitate the progress of radarbased or complemented computer vision. The objective of the project is to perform a multi-purpose radar
system that can complete object recognition and classification tasks. The machine learning techniques are
used to carry out analysys of vast amount of data generated by the radar
DEVELOPMENT OF INTERFEROMETRIC OPTICAL FIBER BIOSENSOR FOR HCC1806 BREAST CANCER CELL DETECTION
No full textThis thesis explores the use of semi-distributed interferometric (SDI) optical fiber
biosensors for detecting breast cancer cells, with a focus on assessing the potential and
limitations of this technology. Given the critical importance of early detection in improving
breast cancer outcomes, this research aims to advance diagnostic methodologies by leveraging
the sensitivity and specificity advantages of optical fiber technology, combined with targeted
antibody functionalization.
The study commenced with the fabrication of optical fiber sensors, incorporating
interferometric tips to single-mode optic fiber pigtails. Calibration was performed using
specialized software and equipment, selecting sensors with optimal sensitivity based on their
performance in standardized tests. These sensors were then functionalized with CD44
antibodies, targeting the detection of HCC1806 breast cancer cells across a range of
concentrations. Experimental trials were conducted to evaluate the sensors' ability to detect
cell concentrations from sterilized PBS up to 10^6 cells per ml, with data collection at regular
intervals
IMPACT OF TARIFF POLICY ON WASTE MANAGEMENT IN KAZAKHSTAN
No full textWaste management concerns are currently attracting increased attention. This study aims to investigate the efficacy of tariff policies in waste management, focusing on Kazakhstan as a case study. The study's methodology combined quantitative and qualitative methods to answer the research questions. The analysis of statistics, interviews with government authorities and waste management company executives, and data collected from other sources provided a preliminary picture of the effectiveness of waste tariffs and other waste-related concerns. The data demonstrated that, while tariff increases had a small effect on waste collection per person, they had a significant impact on waste collection per firm. The study also discovered that different tariff increases had different effects on waste sorting, pointing to the necessity for careful policy considerations. The interviews with government officials and company entrepreneurs shed light on a variety of issues with tariff policy