This paper presents the input power factor control of a modulation using a carrier-based dipolar for matrix converters by determining the optimum value of free parameters b and d in general solutions of the modulation matrix. The proposed PWM method is not only less complicated but can clearly show the coupling of the input power factor control from both active and reactive output power. The experimental results show that the proposed PWM method can control the conditioned input power factor set earlier

This research is Design and construction board led dot matrix was create for study about microcontroller. It apply to use in communication & information indoor type by sending messages from computer on internet network systems. This research has implemented LED dot matrix display for display message characters. The research is composed of 4 major parts: the first part is LED dot matrix display with dimension of 16x192 dots. The second part is the control circuit by using a micro-controller ARM 7 which receives the data from computer the third part by using Microsoft Visual Basic. the forth pat program remote desktop. From tests and results we have found that it can display the message characters which move from Internet System successful.

An optimal of walking path to travel in Lopburi City was the shortest distance of path anduses least travel time. The research methodology used the survey of 10 real locations togetherwith viewing satellite maps and diagrams from Google earth.com for graphing and weighting of edges (distance time). The result analysis used the basic ideas of graph theory by finding the path that has all the vertex and used the idea of matrix by finding the adjacency matrix. The result of the research shown that an optimal of walking path to travel in Lopburi City that is to be as following Wat Puen Wichayen House Prang Khaek Somdet Phra Narai National Museum Lopburi Wat Phrasi Rattana Mahathat Wat Bandai Hin Wat Inthra Wat Nakorn Kosa Phra Kal Shrine Phra Prang Sam Yot with a total distance of 2090 meters in 25 minutes.

The objectives of this research are to estimate the morbidity rates of Leptospirosis in each month of all provinces in Thailand to determine the trend of leptospirosis over time to investigate factors influencing on the morbidity rates and to construct the disease maps of the leptospirosis. The generalized linear mixed model (GLMM) in which the spatial effects follow the conditional autoregressive model (CAR) and the temporal effects follow a linear trend. The estimated morbidity rates are used to construct the disease maps. The dependent variables are the numbers of leptospirosis patients in each month of each province and are assumed to have a Poisson distribution. The data are secondary data at a provincial level. The factors considered are rainfall averaged temperatures and regions. The results show that the factors influencing on the morbidity rates are rainfall (Relative Risk (RR) = 1.0013) averaged temperature (RR = 0.9922) north region (RR = 10.6440) northeast region (RR = 14.3249) southern region (RR = 15.5491) western region (RR = 3.6219) and eastern region (RR = 1.0103) where the central region is a reference region and a linear trend (RR = 1.0183). The top ten province and months with high morbidity rates (per 1000000 population) ranking from largest to smallest values are Phangnga in September (59.00) Phangnga in August (33.49) Sisaket in October (23.14) Sisaket in August ศรีสะเกษ (22.60) Sisaket in September (22.57) Phngnga in October (22.55) Loei in September (21.11) Phangnga in July (20.81) Phangnga in May (20.72) and Phangnga in June (20.47) respectively. The leptospirosis maps are easy for readers to identify which areas are at high risk. They are a useful tool for planning and controlling the leptospirosis.