the case of GTIs graduates

Thesis(Master) --KDI School:Master of Public Policy,1999masterpublishedby Thandar Oo

Combination of Multiple Acoustic Models with Multi-scale Features for Myanmar Speech Recognition

We proposed an approach to build a robust automatic speech recognizer using deep convolutional neural networks (CNNs). Deep CNNs have achieved a great success in acoustic modelling for automatic speech recognition due to its ability of reducing spectral variations and modelling spectral correlations in the input features. In most of the acoustic modelling using CNN, a fixed windowed feature patch corresponding to a target label (e.g., senone or phone) was used as input to the CNN. Considering different target labels may correspond to different time scales, multiple acoustic models were trained with different acoustic feature scales. Due to auxiliary information learned from different temporal scales could help in classification, multi-CNN acoustic models were combined based on a Recognizer Output Voting Error Reduction (ROVER) algorithm for final speech recognition experiments. The experiments were conducted on a Myanmar large vocabulary continuous speech recognition (LVCSR) task. Our results showed that integration of temporal multi-scale features in model training achieved a 4.32% relative word error rate (WER) reduction over the best individual system on one temporal scale feature

Age Related Changes in Hematological Values of Myanmar Local Puppies

The hematological parameters were used to monitor the health status and its components also changed according to the ages. However, there were no reports for this issues in Myanmar local dogs. Thus, this study was carried out to investigate the age-related changes on the hematological parameters of local puppies in Myanmar. Ten local puppies with the age of 2-3 month old were used in this experiment, which was lasted for 8 weeks.The daily clinical examinations were conducted throughout the entire experimental period for general health check-up. Haematological parameters (Total WBC count and its differential counts, and RBC, HCT, MCV, HGB, MCH, MCHC and platelets) were measured bi-weekly with Abacus Vet-5 automate haematology analyser. According to the results, the total WBC and eosinophil counts were not significantly different (P>0.05), while lymphocytes, monocytes, neutrophils and basophils were significantly different (P<0.05) with the aging of experimental animals. The values of RBC, HGB, HCT, MCV, MCH, MCHC and platelets were not significantly different (P>0.05) throughout the experimental periods. Thus, the age-related changes were observed on cell counts of lymphocytes, monocytes, neutrophils, basophils in Myanmar local puppies

Prevalence and seroprevalence of Plasmodium infection in Myanmar reveals highly heterogeneous transmission and a large hidden reservoir of infection.

Malaria incidence in Myanmar has significantly reduced over recent years, however, completeness and timeliness of incidence data remain a challenge. The first ever nationwide malaria infection and seroprevalence survey was conducted in Myanmar in 2015 to better understand malaria epidemiology and highlight gaps in Annual Parasite Index (API) data. The survey was a cross-sectional two-stage stratified cluster-randomised household survey conducted from July-October 2015. Blood samples were collected from household members for ultra-sensitive PCR and serology testing for P. falciparum and P. vivax. Data was gathered on demography and a priori risk factors of participants. Data was analysed nationally and within each of four domains defined by API data. Prevalence and seroprevalence of malaria were 0.74% and 16.01% nationwide, respectively. Prevalent infection was primarily asymptomatic P. vivax, while P. falciparum was predominant in serology. There was large heterogeneity between villages and by domain. At the township level, API showed moderate correlation with P. falciparum seroprevalence. Risk factors for infection included socioeconomic status, domain, and household ownership of nets. Three K13 P. falciparum mutants were found in highly prevalent villages. There results highlight high heterogeneity of both P. falciparum and P. vivax transmission between villages, accentuated by a large hidden reservoir of asymptomatic P. vivax infection not captured by incidence data, and representing challenges for malaria elimination. Village-level surveillance and stratification to guide interventions to suit local context and targeting of transmission foci with evidence of drug resistance would aid elimination efforts

Multi-band microwave bandpass filters for wireless communication

This project is mainly focused on understanding of the knowledge of microstrip line and filters as well as the usage of simulation software Sonnet Lite. The main objective of this research is to analyze and design a class of dual-band filters using Step Impedance Resonator (SIR) and Parallel Coupled Microstrip Line (PCML). Characterized by both theoretical analysis and simulation, the SIR and PCML are found to have several unique advantages in design of this type of filters. The SIR consists of three sections with middle section’s impedance different from the side sections. With the appropriate PCML width and length paired at the two sides of this SIR, a dual-band filter can be constructed with varied dual-passpand performance. Following the initial theoretical circuit-based, a few dual-band filters are successfully designed via Sonnet Lite software.Bachelor of Engineerin