https://onlineresource.ucsy.edu.mm/handle/123456789/18 Mon, 08 Jun 2026 10:28:26 GMT 2026-06-08T10:28:26Z https://onlineresource.ucsy.edu.mm/handle/123456789/171 Active Steganalysis of MP3Stego Tint, Yawai; Mya, Khin Than The goal of steganalysis is to detect and/or estimate potentially hidden information from observed data. Steganalysis not only plays a significant role in information countermeasures, but also can prevent the illicit use of steganography. This paper develops an active steganalysis system for detecting hidden messages, by estimating frames with hidden message and message length in compressed audio files produced by MP3Stego. Principle Component Analysis (PCA) is applied not only to estimate uncorrelated components but also help to detect whether the received MP3 streams are steganography or original. In this steganalysis system, hidden messages can be detected in the PCA (whitening) stage. Independent Component Analysis (ICA) attempts to separate a set of steganographic signals from original signals. By analyzing the nature of MP3 signals (frame header, side information), frame with secret message can be detected. The results of empirical tests reach 97% and conclude that detection accuracy of the proposed steganalysis system is convenient for MP3Stego embedded contents. Experiments shows that the proposed method can be used quite effectively to detect locations of messages embedded using nature of MP3 signal. Mon, 17 Feb 2014 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/171 2014-02-17T00:00:00Z https://onlineresource.ucsy.edu.mm/handle/123456789/168 Data Integration from Heterogeneous Databases using Improved Tries Structure Thant, Phyo Thandar; Naing, Thinn Thu Cloud Computing is one of the converging technology trends in Information Technology which can pave the way to optimized computing solution. Several research issues exist in these converging technologies. Among them, data integration from cloud based heterogeneous relational and NoSQL databases is a challenging issue in cloud based data storage. Moreover, it is also needed to handle SQL and NoSQL data in a single application without knowing the user where and which type of database the needed data resides. In this paper, we proposed data integration system from heterogeneous databases using Improved Tries Data Structure technology which makes improvements to Normal Tries space requirements and structure size of tries. As a result, the system can give several advantages such as providing data transparency to the users , eliminating some barriers in bridging the relational and NoSQL databases in cloud data storage. Mon, 17 Feb 2014 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/168 2014-02-17T00:00:00Z https://onlineresource.ucsy.edu.mm/handle/123456789/164 Green Aware Datacenter Selection Myint, Khin Swe Swe; Thein, Thandar Datacenters have been the key system infrastructure for cloud computing. The demand for datacenter computing has increased significantly in recent years resulting in huge energy consumption. Renewable energy resources, such as wind and solar power are rapidly becoming generation technologies of significance in the United States and around the world. The integration of renewable energy resources is usually very challenging because of their intermittency and inter-temporal variations. The high energy footprint of datacenters leads to serious environmental issues. Energy expenditure has become a significant fraction of datacenter operating costs. The proposed system is explicitly modeled the intermittent generation of renewable energy (Wind Power Model and Solar Power Model) with respect to varying weather conditions in the geographical location of each datacenter. Renewable energy resources datacenter selection framework is proposed to reduce the environmental impact and the system takes into account the benefit from the location diversity of different types of available renewable energy resources and an efficient datacenter selection algorithm is proposed major concern of broader research community participating both from academia and industry in the recent years. Large Internet companies (e.g. Google and Microsoft) have significantly improved the energy efficiency of their multi-megawatt datacenters. However, the majority of the energy consumed by datacenters is actually due to countless small and medium-sized datacenters, which are much less efficient. These facilities range from a few dozen servers housed in a machine room to several hundreds of servers housed in a large enterprise installation. These cost, infrastructure, and environmental concerns have prompted some datacenter operator to generate their own solar/wind energy of draw power directly from a nearby solar/wind farm. Green energy sources promise to mitigate the issues surrounding non-renewable generation, but their output is very susceptible to environmental changes. Mon, 17 Feb 2014 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/164 2014-02-17T00:00:00Z https://onlineresource.ucsy.edu.mm/handle/123456789/161 Physical Fitness Measurement using Multiple Linear Regression (Case Study of Children and Adolescents) Nway, Zon Nyein; Kham, Nang Saing Moon Physical activity is an essential component of a healthy lifestyle. It is clear that physically active people have a lower disease risk than sedentary individuals. Thus the measurement for physical fitness becomes the subject of current research interest. Fitness defines as the “The ability to carry out daily tasks with vigor and alertness, and with ample energy to enjoy leisure-time pursuits and to meet unforeseen emergencies.” And Physical working capacity is the best measure of fitness. Therefore, a model is proposed to measure the physical fitness by estimating physical working capacity. By using this model, the value of fitness (PWC) can be predicted approximately. In this paper, the fitness value is calculated by the relational PWC which is the PWC value divided by the weight. The proposed fitness survey is implemented by the use of multiple linear regression to predict the physical fitness (PWC value) as the dependent variable by defining the relevant physical parameters such as lung capacity, resting heart rate, systolic blood pressure, diastolic blood pressure, breath holding, coordination of movement, weight and height ratio (WHR), motor response, shoulder girdle muscle (spin), flexibility of the spine, abdominal muscle (press) and squat as independent variables. The proposed model will give the physical activities which are the most related to the fitness and if these are made as regular practice, there will have more productivity. Mon, 17 Feb 2014 00:00:00 GMT https://onlineresource.ucsy.edu.mm/handle/123456789/161 2014-02-17T00:00:00Z