analysis on Myanmar economy

Thesis(Master) --KDI School:Master of Public Policy,2017The present study investigates long-run equilibrium relationship between real economic growth, foreign direct investment, and domestic savings in Myanmar, which has a developing economy. Bounds tests confirm that foreign direct investments and domestic savings are in long-term equilibrium relationship with real GDP growth. Domestic savings and FDI have positive, statistically significant, and inelastic impact on real GDP both in the long term and short term of the Myanmar economy. Error correction model reveals that real GDP of Myanmar converges to its long-term equilibrium level by 74.7% (which is high) by the contribution of foreign direct investment and domestic savings. Furthermore, domestic savings and foreign direct investments are driven in the long term of the Myanmar economy.CHAPTER ONE: INTRODUCTION CHAPTER TWO: IMPORTANCE OF GROSS DOMESTIC SAVINGS CHAPTER THREE: LITERATURE REVIEW CHAPTER FOUR: ECONOMETRIC FRAMEWORK CHAPTER FIVE: EMPIRICAL RESULTS CHAPTER SIX: CONCLUSIONmasterpublishedZin Win THAW

Design and Optimization of Aircraft Configuration for Minimum Drag

This paper presents a reliable and robust optimization for minimum drag of an aircraft at the conceptual design phase. Firstly, the conceptual design code was developed and existing Single Seat Aerobatic (SSA) aircraft was chosen to validate the reliability of developed code. The resulted data from the developed code showed good agreement with the existing data. Secondly, Sequential Quadratic Programming (SQP) optimizer was created and employed as a tool to explore possible aircraft configurations that are more efficient and less costly than an existing design. The optimized results gave lower Drag and better performance

The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue

This study aimed to evaluate vascular endothelial growth factor (VEGF) and pentraxin 3 (PTX-3) as predictive and diagnostic markers in differentiating severe dengue from non-severe dengue. The study was conducted in Ampang Health Clinic, Ampang Hospital and Serdang Hospital. The plasma levels of VEGF and PTX-3 were compared between severe dengue and non-severe dengue by ELISA from the day of presentation until discharged. Multiple logistic regression was used to develop predictive and diagnostic models by incorporating other clinical parameters. The receiver operating characteristics (ROC) analysis was used to assess the accuracy of the biomarkers and the developed models. Eighty-two patients were recruited, 29 with severe dengue and four died. The Area Under the Curve (AUC) was statistically significant in VEGF as diagnostic marker at Day 2 and 3 of illness with sensitivity of 80.00%-100.00% and specificity of 76.47%-80.00%. The predictive model with AUC of 0.84 (p < 0.01) has a sensitivity of 100.00% and specificity of 79.25% for predicting severe dengue. The diagnostic model with AUC of 0.71 (p < 0.01) has a sensitivity of 76.19% and specificity of 73.58% for diagnosing severe dengue. The AUC for PTX-3 was not statistically significant. VEGF may be used in combination with other clinical parameters to predict the severity of the disease. As a single biomarker, it may be used as an adjunct investigation to support the diagnosis of severe dengue. PTX-3 was not able to differentiate severe dengue from non-severe dengue

New techniques for localization of shorted and open interconnect failures in ICs by using laser beam technology

Open-circuit and short-circuit defects in electrical conductors within integrated circuits (ICs) can result in major IC yield and reliability problems. A capability for localizing and identifying these types of defects is important for analyzing ICs to determine failure mechanisms therein, for qualifying ICs as known-good devices, and for implementing corrective action during IC fabrication to minimize the occurrence of such defects.Master of Science (Consumer Electronics

Word Sense-based Information Retrieval (WSIR) by using Jaccard Coefficient Similarity Method

Nowadays, information retrieval (IR)system is to provide users with documents thatcontain their information need based on the userquery. Due to the ambiguous query words, thekeyword-based IR system fails to recognize therelevance of documents to the query. Word sensedisambiguation (WSD) can solve this problem toimprove the keyword-based IR performance. So,this system proposes the word sense-based IR(WSIR) system by using Jaccard coefficient basedsimilarity method. In this system, similarity basedWSD method is used to disambiguate theambiguous words in the user query. This systemalso uses the WordNet and Corpus as the lexicalresources that encoded senses of each word. In theWSIR system, the various senses that are providedby the WSD method have been used as semanticsfor indexing the documents. To show the betterperformance of the WSIR, this system comparesthe keyword-based IR and word sense-based IR.This system is implemented by using C#programming languag

EMPLOYEE MOTIVATIONAL FACTORS IN KANBAWZA BANK

This study intends to explore the employee motivation practices of Kanbawza Bank (KBZ bank), Kamayut township branches. Especially, it examined the employee motivational factors in Kanbawza Bank. These study applied Herzberg’s motivation theory to analyze the employee satisfaction level on motivational practices of Kanbawza Bank in Yangon. This study includes two sources of data. Primary data from Kanbawza bank of Kamayut Township branches. The questionnaires are administered to measure the employee satisfaction towards motivation practices of the bank. The level of employee satisfaction was analyzed with mean value. The needed data are collected through structure questionnaires toward managerial level and non-managerial level. The simple random sampling method is applied to select the 100 employees of Kamaryut township branches of Kanbawza Bank. The result of study shows that KBZ bank can fulfill on both motivator and hygiene factor do employees. Both managerial level and non-managerial level were satisfied with the motivator and hygiene factors. In managerial level, all employees are highly satisfied on both motivators and hygiene factors. For non-managerial level, all employees are less satisfied on both motivators and hygiene factors. This study suggests that the motivation factors should be different between employees by position. Moreover, motivation factors may be changed from time to time, the employers/owners need to assess the motivation factors of the employees on a continuous basis in order to be continuous success

A STUDY ON THE PERCEPTION OF RURAL PEOPLE ON POVERTY ALLEVIATION PROGRAMMES (A CASE STUDY: HLEGU TOWNSHIP, YANGON)

Rural development programmes have been implemented as poverty alleviation framework not only by government but also non-governmental organizations in nationwide. There are various reform programmes as hard and soft infrastructure, rural small production industry, microfinance, rural energy, water sanitation, vocational training for carrier development and other poverty reduction programmes. This study aims to examine the perception of rural people on poverty alleviation programmes. A descriptive method is used for this study. The structured questionnaires are used to conduct the survey to get the perception about the poverty reduction programmes and their attitude. This study is analyzed three poverty reduction programmes which are rural infrastructure, microfinance and vocational trainings. It was found that most of the respondents have positive perception about the programmes. It gives to enhance the job opportunities not only their households but also village development. In each programme, there has some weakness points because the current implementation process is weaken in upgrading policies, lack of maintaining on existing infrastructure, the filling form process to get a loan is complex, hard to get sufficient amount for each in microfinance programme and long-term support for sustainability. In vocational training, it needs the teaching aid materials to get the efficient practical knowledge. The local poor are still in dependency status and rely on the programmes. And they mention that some programmes are not effective according to their basic needs like electrification project by solar system and water sanitation project because it has still challenging for long term support to evaluate due to the budget allocation. Poverty alleviation programmes are the foundation for all inclusive to get the sustainable growth

Analysis of Matching Pursuit Features of EEG Signal for Mental Tasks Classification

Brain Computer Interface (BCI) Systems havedeveloped for new way of communication betweencomputer and human who are suffer from severe motordisabilities and difficult to communicate with theirenvironment. BCI let them for communication by nonmuscular way. For communication between human andcomputer, BCI uses a type of signal calledElectroencephalogram (EEG) signal which arerecorded from the human‘s brain by mean of electrode.Electroencephalogram (EEG) signal is an importantinformation source for knowing brain processes for thenon-invasive BCI. In translating human’s thought, itneeds to classify acquired EEG signal accurately.Independent Component analysis (ICA) method viaEEGLab Tools for removing artifacts which are causedby eye blinks in the recorded mental task EEG signal.For features extraction, the Time and Frequencyfeatures of non stationary EEG signals are extractedby Matching Pursuit (MP) algorithm. Theclassification of mental tasks is performed byMulti_Class Support Vector Machine (SVM)