UCSY's Research Repository: Recent submissions

  • Computer and Cybercrime Forensics Investigation in Myanmar 
    Maung, Tin Maung (University of Computer Studies, Yangon, 2022-04-01)
    Communication technology and devices are timely changing and increasing various levels and different operating systems in all over the world. In this day and age, our country is just developing country and most of the ...
  • Energy-Efficient and Cost-Effective Resource Management for Geo Distributed Data Centers 
    Than, Moh Moh (University of Computer Studies, Yangon, 2021-02-01)
    Cloud computing allows services available to customers on a pay-as-you-go model through geographically distributed data centers (GDCs) located around the world. Almost all Internet services are built on GDCs in order ...
  • LOCATION-BASED NEAREST NEIGHBOUR SEARCH USING GRID-BASED SPATIAL INDEXING 
    ZAW MYINT, AUNG (University of Computer Studies, Yangon, 2022-02-01)
    With the rapid development of mobile technology, location-based services (LBS) have become essential useful services to provide geographic information to mobile users. Location-based services (LBS) support the relevant ...
  • ANDROID FORENSICS FOR CYBERCRIME INVESTIGATION IN MYANMAR 
    Linn Htun, Naing (University of Computer Studies, Yangon, 2021-12)
    Mobile phone technology is changing rapidly, and there are a growing number of different device models with different operating systems around the world. In particular, Android mobile devices are becoming much more attractive ...
  • 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 ...
  • An Efficient Predictive Big Data Analytics System For High Dimensional Data 
    Oo, Myat Cho Mon (University of Computer Studies, Yangon, 2021-02)
    In the current big explosion era, data is increasing dramatically every year. Gaining critical business insights by querying and analyzing this vast amount of data is becoming a challenge for conventional data mining ...
  • Frequent Pattern Mining for Educational Data By Using Mapreduce Approach In Hadoop 
    Aung, Than Htike (University of Computer Studies, Yangon, 2021-11)
    Lots of structured and unstructured information can provide educational insights through information retrieval. Gathering educational information in an effective way is also a major challenge. In addition, historical ...
  • Measuring Qualities of XML Schema Documents 
    Thaw, Tin Zar; Khin, Mie Mie (American Journal of Software Engineering and Applications, 2013-08)
    The Extensible Markup Language (XML) is becoming a de-facto standard for exchanging information among the web applications. Efficient implementation of web application needs to be efficient implementation of XML and XML ...
  • 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 ...
  • Information Retrieval System Using BM25, Pivoted Normalization and CombSUM Method 
    Khaing, Nu Yin; Htwe, Ah Nge (University of Computer Studies, Yangon, 2021-01)
    Retrieving information is difficult and time consuming for searching a variety and large number of documents on the digital library. This paper intends to implement effective keyword search system for digital library.BM25 ...
  • Duplicate Record Detection in Data Cleaning Using DCS++ Algorithm 
    Phyo, Yin Yin; Win, Thidar (University of Computer Studies, Yangon, 2021-06)
    Nowadays, Duplicate Record Detection is a multiple record search process that represents the same physical entity in a dataset. It is also known as the record linkage (or) entity matching. The databases contain a very ...
  • Information Retrieval System Using BM25, Pivoted Normalization and Combsum methods 
    Khaing, Nu Yin (University of Computer Studies, Yangon, 2021-06)
    Nowadays, a lot of information is available for someone who wants to find documents on Google or in a system or in a digital library. Information retrieval is important as a way that can solve problem by giving the ...
  • Duplicate Record Detection in Data Cleaning Using DCS++ Algorithm 
    Phyo, Yin Yin; Win, Thidar (University of Computer Studies, Yangon, 2021-01)
    Duplicate Record Detection is a multiple record search process that represents the same physical entity in a dataset. It is also known as the record linkage (or) entity matching [1]. The databases contain very large ...
  • Vehicle Accident Detection on Highway and Communication to the Closest Rescue Service 
    Aung, Nay Win; Thein, Thin Lai Lai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    The hazard information and the timely rescue performance are considered as the main elements to reduce the risk of road traffic accidents since the rate of highway accidents significantly increased. In this paper, it ...
  • University Chatbot using Artificial Intelligence Markup Language 
    Khin, Naing Naing; Soe, Khin Mar (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Chatbots are conversational systems that can do chat interactions with human automatically. It is developed to be virtual assistant, making entertainment for people, helping for answering the questions, getting driving ...
  • Time Delay Neural Network for Myanmar Automatic Speech Recognition 
    Aung, Myat Aye Aye; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Time Delay Neural Network (TDNN) contains in neural network architectures. In Automatic Speech Recognition, TDNN is strong possibility in context modeling and recognizes phonemes and acoustic features, independent of ...
  • The Implementation of Support Vector Machines for Solving in Oil Wells 
    Aung, Zayar; Aung, Ye Thu; Sergeevich, Mihaylov Ilya; Linn, Phyo Wai (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    The article deals with the problem of timely forecasting and classification of problems that arise in the process of well construction remains relevant. It is necessary to create a new methodology that should help ...
  • Software Quality Metrics Calculations for Java Programming Learning Assistant System 
    Zaw, Khin Khin; Hnin, Hsu Wai; Funabiki, Nobuo; Kyaw, Khin Yadanar (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    A Web-based Java Programming Learning Assistant System (JPLAS) has been proposed to assist Java programming educations in universities. In the code writing problem, the correctness of an answer code from a student is ...
  • Sentiment Polarity in Translation 
    Zin, Thet Thet (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Previous year, many researchers have been sentiment analysis on many focus languages. They analyzed and categorizing opinions expressed in a text. People express their opinions and feeling on social media as a daily ...
  • Sentence-Final Prosody Analysis of Japanese Communicative Speech Based on the Command-Response Model 
    Takada, Kazuma; Nakajima, Hideharu; Sagisaka, Yoshinori (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Aiming at communicative speech synthesis, we analyzed sentence-final prosody characteristics through subjective impression on constituting lexicons. Since Japanese sentence-final particles and postpositionals are ...

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