Olga Yugay

• Master of Engineering
• Westminster International University in Tashkent

This paper presents the design of the wireless communication architecture, the implementation of IoT technology in educational institutions to address security issues and protect sensitive data and the system hardware based on customised micro-controller and wireless communication processors is implemented. The conventional method of recording atte...

This paper presents performance analysis and comparison of machine learning algorithms for future use in a smart campus framework. The following error rates, such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Square Error (MSE) and R squared error are considered for models such as Random Forest (RF), Multiple Linear Regression (...

This paper presents the study of the monitoring of student attendance in a Smart Campus using the IoT Motion Detection Sensors, and the implementation of IoT technology in educational institutions. The proposed solution is far more secure than the existing RFID monitoring system. The IoT devices are embedded into the existing campus environment for...

The aim of this paper is to present the ongoing research on the use of social media in higher education. The paper introduces a method of evaluating and predicting potential number of applicants by means of social media in order to optimize related costs. We propose to assess university attractiveness for applicants by analyzing data collected thro...

The aim of this paper is to present the ongoing research on the use of social media in higher education. The paper introduces a method of evaluating and predicting potential number of applicants by means of social media in order to optimize related costs. We propose to assess university attractiveness for applicants by analyzing data collected thro...

The performance of Genetic Algorithms (GA) is affected by various factors such as parameters, genetic operators and strategies. The traditional approach with random initial population is efficient however the whole initial population may contain many infeasible solutions. Thus it would take a long time for GA to produce a good solution. The GA have...

University timetabling is a constraint-satisfaction problem where the participants usually have conflicting requirements. Multi-agent environment can solve timetabling problem through representing each participating party with agent. We propose to apply reinforcement learning approach to coordinate agents in a university timetabling system. The sys...

Security and fast multimedia distribution has become an important research topic due to ever growing opportunities on the Internet and improving network capability. Faster and more secure multimedia distribution can be achieved through Web caching and encryption. Due to specific characteristic of multimedia content such as its size, it is important...

The performance of Genetic Algorithms (GA) is affected by various factors such as parameters, genetic operators and strategies. The traditional approach with random initial population is efficient however the whole initial population may contain infeasible solutions, which causes GA take longer to converge. The GA was modified in various ways to ac...

In the recent decades the importance of the information systems (IS) has been steadily growing. Nowadays most of the operations that imply complex manipulations with data and storage of large volumes of data are being automated through the use of various IS. One of the areas where the use of an integrated IS can be considered as a must is medicine....

M-commerce is one of the ways IT can significantly contribute to boosting economy of the developing countries. M-commerce project has a high potential in the developing countries and especially in the case of Uzbekistan because it is very novice concept and most importantly it will enable payment for online services via mobile, using reverse billin...