UCSY's Research Repository

Browsing Ph.D/Master Thesis & Dissertation by Title

Browsing Ph.D/Master Thesis & Dissertation by Title

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  • OBJECT DETECTION AND DISTANCE ESTIMATION USING YOLO ARCHITECTURE 
    Aung, May Thu (University of Computer Studies, Yangon, 2022-12)
    Detecting various classes of objects and measuring the distance between camera and objects are implemented in this system. The input of the system is an image or video which are captured by the camera. YOLOv5 architecture ...
  • OBSTACLE AVOIDANCE PERSON TRACKING ROBOT USING BUBBLE REBOUND ALGORITHM 
    Paing, Shwe Yi (University of Computer Studies, Yangon, 2022-06)
    The current ultrasonic impediment evasion robot just purposes an ultrasonic sensor during the time spent obstruction aversion, which must be tried not to accord to the decent snag evasion course. Hindrance evasion ...
  • Ontology Based Information Retrieval System for Digital Library 
    Aung, Thet Thet (University of Computer Studies, Yangon, 2021-05)
    Using semantic web technology through Information Retrieval (IR) process is becoming an efficient way to enhance the accuracy of the search process and retrieve more relevant results in the web-based systems, especially ...
  • OPINION MINING SYSTEM OF CUSTOMER REVIEWS BY USING FEATURE EXTRACTION 
    LWIN, NANDAR MOH MOH (University of Computer Studies, Yangon, 2023-07)
    Due to the dramatic improvement of ecommerce, web sources which are important for both potential customers and service providers rapidly emerge in prediction and decision purposes. Opinion mining techniques become popular ...
  • Optimal Route Identification on Complex Road Network by Using Advanced Dijkstra’s Algorithm 
    Phyo, K-zin (University of Computer Studies, Yangon, 2019-11)
    Emergency events never happen with prior alert and notification, and can damage people and cause permanent loss as consequences. For that reason, how to report the emergency service organizations, to distinguish the ...
  • Overlapping Community Detection in Social Networks by Local Expansion 
    Win, Eaint Mon (University of Computer Studies, Yangon, 2023-09)
    Community structure is one of the main structural features of networks and detecting overlapped community structure is an important field in social network analysis. There are many methods for finding non-overlapping ...
  • Pattern Discovery using Association Rule Mining on Clustered Data 
    Oo, Htun Zaw (University of Computer Studies, Yangon, 2018-08)
    Many organizations use World Wide Web for multipurpose platform during these days. It is very important to understand how a web site is being used by users. Web usage mining also known as web log mining, aims to discover ...
  • PEER-TO-PEER FILE SHARING SYSTEM IN CAMPUS USING MULTI-AGENT 
    Win, Thida (University of Computer Studies, Yangon, 2022-06)
    Peer-to-Peer (P2P) file sharing is a technique of network file sharing. Clients can direct access and share the files to other clients in P2P network. The P2P file sharing system does not require any central server. ...
  • Permission-Based Anomalous Application Detection on Android Smart Phone 
    Win, Htet Htet (University of Computer Studies, Yangon, 2019-01)
    Information applications are widely used by millions of users to perform many different activities. Android-based smart phone users can get free applications from Android Application Market. But, these applications were ...
  • Prediction of Bank Loans Risks Using K-Nearest Neighbor Classification Algorithm 
    Win, Hlaing Hlaing (University of Computer Studies, Yangon, 2021-11-23)
    Data mining techniques are extensively used for data analysis in a variety of applications. Especially, credit analyzers often use predictive analysis of credit risk to determine the applicant users are to be trusted ...
  • PREDICTION OF EMPLOYEE ATTRITION USING BAYES RISK POST-PRUNING IN DECISION TREE 
    Aung, Win Pa Pa May Phyo (University of Computer Studies, Yangon, 2023-01)
    Employee attrition is the departure of employees from the organization for any reason (voluntary or involuntary), including resignation, termination, death, or retirement. Attrition is widely understood to be one of ...
  • PREDICTION OF STUDENTS’ ACADEMIC PERFORMANCE USING MULTIPLE LINEAR REGRESSION 
    Zu, Chan Myae Myint (University of Computer Studies, Yangon, 2022-06)
    Nowadays, the education system has been changed from teacher centered approach to learner-centered approach. Thus, students’ related features need to analyze to predict students’ academic performance to provide the ...
  • Predictive Big Data Analytics on High-Dimensional Data 
    Khine, Kyi Lai Lai (University of Computer Studies, Yangon, 2019-10)
    Nowadays, data is extremely growing very fast to become “BIG DATA”, any voluminous amount of structured, semi-structured and unstructured data, which has high potential to be mined for valuable information in decision ...
  • PREVENTION OF CROSS-SITE REQUEST FORGERY USING ANTI-CSRF TOKEN 
    Win, Phyu Phyu (2022-09)
    Online banking system has created an enormous impact on IT, Individuals, and networking worlds. Online banking systems and its exclusive architecture have numerous features and advantages over traditional banking system. ...
  • QOE ASSESSMENT AND CONTROL IN NETWORKED HAPTIC GAMES 
    OO, MAY ZIN (University of Computer Studies, Yangon, 2023-01)
    In recent years, with the advancement of high speed communication networks, multimedia applications which consists of a collection of multiple media such as text, graphics, images, sound, and video became popular. Due ...
  • QoS-based Traffic Engineering in Software Defined Networking 
    Thazin, Nwe (Unversity of Computer Studies, Yangon, 2019-11)
    Quality of Service (QoS) is the overall performance of a computer network, particularly the performance seen by the users of the network. By managing the delay, bandwidth, and packet loss parameters, it allows us to ...
  • Retrieving Semantically Relevant Documents using Latent Semantic Indexing 
    Yee, Chue Wut (Unversity of Computer Studies, Yangon, 2020-01)
    Nowadays, with the development of the internet, it is available to collect very large amounts of data and searching effective information from these data develop into an essential work. The major purpose of an Information ...
  • RISK CALCULATION OF COVID-19 FOR ASEAN COUNTRIES USING BACKPROPAGATION NEURAL NETWORK AND FUZZY INFERENCE SYSTEM 
    Oo, Sabai (University of Computer Studies, Yangon, 2022-06)
    CORONAVIRUS DISEASE (COVID-19) is the infectious disease caused by the coronavirus that was first discovered in Wuhan City, China, and then spread throughout the world. Many researchers have proposed various methods ...
  • Robust Local Thresholding Method for Segmentation of Non-Uniform Coloured Documents 
    Aung, Thidar (University of Computer Studies, Yangon, 2019-08)
    Text document segmentation is one of the essential steps in text document recognition and extraction systems. The existing image segmentation methods are not much reliable for text with colour gradient and texture ...
  • SECURE EDUCATIONAL DATA MANAGEMENT USING LATTICE-BASED ACCESS CONTROL 
    Nwe, Yie Yie (University of Computer Studies, Yangon, 2022-09)
    Database security is the system, processes, and procedures that protect a database from unintended activity. The protection of data storage is a challenging and formidable task and so the user data should be protected ...

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