https://onlineresource.ucsy.edu.mm/handle/123456789/19 Mon, 08 Jun 2026 10:28:28 GMT 2026-06-08T10:28:28Z https://onlineresource.ucsy.edu.mm/handle/123456789/2371 Apache Kafka: A High-Throughput Distributed Messaging System Thein, Khin Me Me; Nyunt, Thi Thi Soe Apache Kafka is publish-subscribe messaging implemented as a distributed commit log, suitable for both offline and online message consumption. It is a messaging system initially developed at LinkedIn for collecting and delivering high volumes of event and log data with low latency. Message publishing is a mechanism for connecting various applications with the help of messages that are routed between them, for example, by a message broker such as Kafka. It acts as a kind of write-ahead log that records messages to a persistent store and allows subscribers to read and apply these changes to their own stores in a system appropriate time-frame. Common subscribers include live services that do message aggregation or other processing streams, as well as Hadoop and data warehousing pipelines which load virtually all feeds for batch-oriented processing. Thu, 05 Feb 2015 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/2371 2015-02-05T00:00:00Z https://onlineresource.ucsy.edu.mm/handle/123456789/2358 User Session based Test Cases Prioritization for Web Applications Testing Maung, Hsu Mon; Win, Kay Thi Nowadays, web application is crucial for most daily activities that rely on the web services. To improve the quality of reliable web services, web application testing has been used in finding faults under test. User session based testing is one approach to create test cases with real user data that are collected from daily user logs. The main considerable problem is how to reduce the cost of web application testing in time without service interruption. However, real user data is reduced as the test cases, all the reduced test cases cannot be executed completely under time constraints in practice. In this paper, the test cases prioritization criterion is proposed to schedule the test cases in order to improve the rate of fault detection. This criterion is based on two factors, frequency of sequences and dependent count of web pages. Most current techniques use a random method to prioritize test cases when they have the same priority. The proposed prioritization method considers this fact that there are multiple test cases with the same priority. Thu, 05 Feb 2015 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/2358 2015-02-05T00:00:00Z https://onlineresource.ucsy.edu.mm/handle/123456789/2357 Tracking the Human Motion from Multiple Video Images Htun, Baby; Sein, Myint Myint Object motion and human motion tracking is an important technique used in many systems, especially in the fields of computer vision. An automatic motion tracking and catching system is developed in this research. It can be used to entrap snatchers for shopping mall, office, housing, corridors, borders, secured buildings, at airport and so on. The multiple perspective imagery is applied to track the desired people successfully. It needs to establish the perspective Gaussian Mixture Model and Particle Filter calculation correspondence among the multiple cameras. At once a man pass and is marked or chosen to track any view of camera which is implemented, the system will track the motion of this subject and as well as the other cameras will track him. In this paper, we can track and recognize the subject we desire. Thu, 05 Feb 2015 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/2357 2015-02-05T00:00:00Z https://onlineresource.ucsy.edu.mm/handle/123456789/2356 Testing Speech to Text Application on Android Platform Myint, Theint Zarni Speech recognition reduces the overhead caused by alternate communication methods. Speech has not been used much in the field of electronics and computers due to the complexity and variety of speech signals and sounds. However, with modern processes, algorithms, and methods we can process speech signals easily and recognize the text. In this paper, we are going to develop an on-line speech-totext engine. The system acquires speech at run time through a microphone and processes the sampled speech to recognize the uttered text. An application like voice search is developed in this work that allows a user to record and convert spoken input into Bing Search Engine that will be search the user’s data. This application will find the famous places in Myanmar. Speech recognition is done via the Internet, connecting to Google’s server. The application is adapted to input messages in English. Speech recognition for Voice uses a technique based on Hidden Markov Model (HMM). It is currently the most successful and most flexible approach to speech recognition. Thu, 05 Feb 2015 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/2356 2015-02-05T00:00:00Z