This applied research want to study the factors affecting the student‘ learning achievement instudying Data Structure and Algorithm. The samples were selected by stratified random sampling 93 students from 121 students who studied in semester 2/2009 by using questionnaire. The statistics used were descriptive statisticst-testOne way ANOVAPearson correlation and multiple regression at the significance level of 0.05. The findings revealed that the mean of grade point average was 2.69 their average midterm scores were 22.47 out of 35. The successful were grade point averagefair expectation of knowledgeand future application.The factors affecting student’s achievementwere basic knowledge of programmingmidterm scores studied resource and facilities. In addition the 2 year programme’ average midterm scores were higher than the 4 year programme ranging from 1.11 to 5.34 at the significance level of 0.05. The forecasting equation for learning achievement is

This paper presents the application of MATS Algorithm that used to find optimum membership function shapes for a fuzzy logic controller and used to find optimum limit range of a compensate reference current amplitude. This amplitude used to create three-phase compensate reference current signals that compare with three-phase compensate real current signals at hysteresis band current controller (HBCC) to generate gate drive signals of a FL-APF. The FL-APF delivers reactive power to point of common coupling and reduce harmonics components of all supply currents. The MATS evolution mechanisms were found optimum membership functions for fuzzy logic controller. The simulation results after setting optimum parameters were found that the fuzzy logic controller control active power filter to compensate reactive power at the point of common coupling and limit source currents THD to 5% in range and complied with IEEE 519 standard

The research aims to compare results of algorithm for solving allocation problem in multi-stage rice transportation between formulation of mathematical model with computation by Lingo V.11 and application of Differential Evolution (DE). The research was conducted in two stages: 1) comparing efficiency of the two employed applications in terms of economic and 2) comparing for minimum computation time. The proposed algorithm was tested with problems in six simulated case studies. Results show that in terms of economic DE did not generate better solutions than Lingo V.11 at an average of 0.525%. However it used faster response time at an average of 206 minutes when compared to Lingo V.11.

Symmetrical components of current and voltage are great importance in many applications in power systems such as power quality and power system protection. This paper presents the new adaptive linear combiner (ADALINE) structure for symmetrical components traction and estimation. This structure is deal with multi-output systems for parameter traction/estimation rather than the existing ADALINE which deals only with single output system. The new topology it is called MO-ADALINE is also presented. Finally the paper presents a new processing unit which can estimate symmetrical components from the measured current signals. The advantage of this proposed unit is simple to implement. Simulation results are given to validate the proposed algorithms.

This research considers the vehicle routing problem in a specific bakery making company where is located in Bangkok. This company has to produce and deliver the bakeries to its customers everyday. Until now this mentioned company generates the delivery’s route by using the experience taken from the company’s truck driver. The company has to daily use the route with unnecessary long distances. According to the given statement this research aims to develop algorithm to generate the delivery route for this company by using the Genetic Algorithm in order to minimize the transportation distances.