Authentications of Myanmar National Registration Card

The automatic identification system of Myanmar national registration card (NRC) holder is presented in this paper. The proposed system can be handled the identification by the extracted low quality face image and fingerprint image from Myanmar NRC. Both of the facial recognition and fingerprint recognition system are developed for Myanmar citizenship confirmation. Age invariant face recognition algorithm is performed based on combination of DiaPCA (Diagonal principal Component Analysis) and KNN (Kth nearest neighbor classifier) approaches. An algorithm of the fingerprint recognition is proposed for recognition of the poor quality fingerprint image with fabric background.  Several experiments have been done for confirming the effectiveness of the proposed approach

Divisive Hierarchical Clustering of Drugs Based on Chemical Compositions

Clustering is the process of grouping the data into classes or clusters. Objects within a class have high similarity in comparison to one another, but are very dissimilar to objects in other clusters. In this paper we intend to cluster drugs based on their chemical composition so that users can know which drug on which cluster is composed of what chemicals by which composition. We will implement this system by using a hierarchical divisive monothetic clustering, called DIVICLUS_T. It allows becoming a decision tree of the hierarchy. This paper gives the valuable information of drugs for drug- researchers

Information Retrieval System with Pseudo Relevance Feedback using Rocchio algorithm

Information retrieval is concerned withorganizing and retrieving relevant documentsfrom a set of unstructured collections ofdocuments.In most collections, the same conceptmay be referred to using different word.This issueis known as synonymy which has an impact on therecall of most information retrieval systems.Theproblem can be eliminated by means of relevancefeedback where user judges the result of the initialquery, and system refines the query vector toimprove the recall.But in normal relevancefeedback, users have to give manual feedbackwhich is inflexible, so the proposed system usespseudo relevance feedback where top-k retrieveddocuments are assumed to be relevance and queryis rewrite using Rocchio algorithm.Finally thesystem analyzes with precision and recall ofinformation retrieval result

Cardiovascular Risk Assessment between Recent-onset and Established Rheumatoid Arthritis using Framingham Risk Score

The increased mortality in Rheumatoid arthritis (RA) is largely attributable to cardiovascular disease (CVD), particularly coronary atherosclerosis. The cardiovascular morbidity found in RA patients appears to be increased by two fold or more compared to the general population (age and sex matched)

Preliminary monitoring of concentration of particulate matter (PM2.5) in seven townships of Yangon City, Myanmar

Abstract Background Airborne particulate pollution is more critical in the developing world than in the developed countries in which industrialization and urbanization are rapidly increased. Yangon, a second capital of Myanmar, is a highly congested and densely populated city. Yet, there is limited study which assesses particulate matter (PM2.5) in Yangon currently. Few previous local studies were performed to assess particulate air pollution but most results were concerned PM10 alone using fixed monitoring. Therefore, the present study aimed to assess distribution of PM2.5 in different townships of Yangon, Myanmar. This is the first study to quantify the regional distribution of PM2.5 in Yangon City. Methods The concentration of PM2.5 was measured using Pocket PM2.5 Sensor (Yaguchi Electric Co., Ltd., Miyagi, Japan) three times (7:00 h, 13:00 h, 19:00 h) for 15 min per day for 5 days from January 25th to 29th in seven townships. Detailed information of eight tracks for PM2.5 pollution status in different areas with different conditions within Kamayut Township were also collected. Results The results showed that in all townships, the highest PM2.5 concentrations in the morning followed by the evening and the lowest concentrations in the afternoon were observed. Among the seven townships, Hlaingtharyar Township had the highest concentrations (164 ± 52 μg/m3) in the morning and (100 ± 35 μg/m3) in the evening. Data from eight tracks in Kamayut Township also indicated that PM2.5 concentrations varied between different areas and conditions of the same township at the same time. Conclusion Myanmar is one of the few countries that still have to establish national air quality standards. The results obtained from this study are useful for the better understanding of the nature of air pollution linked to PM2.5. Moreover, the sensor which was used in this study can provide real-time exposure, and this could give more accurate exposure data of the population especially those subpopulations that are highly exposed than fixed station monitoring