https://onlineresource.ucsy.edu.mm/handle/123456789/25 Mon, 08 Jun 2026 10:28:25 GMT 2026-06-08T10:28:25Z https://onlineresource.ucsy.edu.mm/handle/123456789/1233 Myanmar Homonym Disambiguation System Hlaing, Zar Zar; Thida, Aye Natural Language Processing (NLP) is one of the most important research areas in Human Language. One of the challenges in Natural Language Processing (NLP) is to resolve ambiguous homonyms or homonym errors in sentences. Myanmar Homonym Disambiguation System is the kind of Word Sense Disambiguation System in Natural Language Processing. This system is needed for Myanmar Word Segmentation and Spell Checker System. If the sentence contains incorrect homonyms, this sentence cannot be segmented correctly. Moreover, incorrect usage of homonyms is a common problem in Myanmar to English translation. In this paper, Myanmar Homonym Disambiguation System has been described. This system detects homonym errors or ambiguous homonyms and then resolves these errors by using Corpus-Based N-Gram Model. Myanmar Text Corpus is also needed in calculation of N-Gram Model for this system. After resolving homonym errors, the system will output the sentence with correct homonyms. Wed, 27 Feb 2019 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/1233 2019-02-27T00:00:00Z https://onlineresource.ucsy.edu.mm/handle/123456789/1232 Mobile based Text Image Recognition using Deep Learning Approach Maung, Saw Zay Maung; Aye, Nyein Recognizing text image from mobile phone is a challenge task for limited capacity and processing power. And also the accuracy of the system is important for text image recognition system. In this system, we aimed to develop a Text Image Recognition System for mobile environment using Myanmar Character Dataset. Firstly, the image captured from mobile phone’s camera and then segment each connected character using Connected Labeling Algorithm. After that the segmented characters input into the Convolutional Neural Network by passing layer by layer to get feature maps for recognizing the words in a given text image. Wed, 27 Feb 2019 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/1232 2019-02-27T00:00:00Z https://onlineresource.ucsy.edu.mm/handle/123456789/1231 Machine Learning Based Android Malware Detection using Significant Permission Identification Kyaw, May Thu; Kham, Nang Saing Moon The increasing popularity of smartphones and tablets has introduced Android malware which is rapidly becoming a potential threat to users. A recent report indicates the alarming growth rate of Android malware in which a new malware is introduced in every second more precisely in 10 seconds. To against this dangerous malware growth, this paper proposes a scalable malware detection system using permission analysis behavior that can identify malware apps effectively and efficiently. We propose multi-level of pruning procedures to identify the most significant permission instead of extracting all permissions. The propose system utilizes supervised classification method in machine-learning to classify different families of benign and malware apps. We found that 22 permissions are significant actually. Our evaluation finds that the analysis time of using these 22 permissions are 4 to 32 times less than using all permissions. The results show that most of malware apps are located the unnecessary permission on AndroidManifest.xml to inject the malicious codes in the apps. The authors are grateful for the supports provided by University of Computer Studies, Yangon. Wed, 27 Feb 2019 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/1231 2019-02-27T00:00:00Z https://onlineresource.ucsy.edu.mm/handle/123456789/1230 Location-based Service Personal Navigation System for Nay Pyi Taw City Thu, Myint; Sein, Myint Myint With the development of mobile Internet, more and more people begin to get convenient service by mobile phones. Obtaining one's current location by GPS positioning or network positioning has become one of the important foundations in most applications of location based service. In this paper, we designed and implemented a personalized positioning and navigation system based on the Android platform. With the combination of GPS positioning and network positioning, and using OpenStreetMap API, this system provides the following functions: view the current location, define the current location by user and get the navigation route. Wed, 27 Feb 2019 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/1230 2019-02-27T00:00:00Z