This paper presents a dynamic associative network model for e-commerce site selection system based on the psycholinguistic theories of human memory; Spreading Activation Network (SAN). The system is designed to give personalized suggestions based on the user’s current personal preferences other user’s common preferences web-link structure and activation rules. This work employs a SAN as a technique to provide the evaluation and selection mechanism that provides multiple parallel processes for perception by representing dynamic associations among web-links user activities and the relevance subjects of the websites. The system attempts to evaluate a number of sites in an unpredictable complex dynamic environment. Spreading activation explains the predictive top-down effect of knowledge. These processes select the group of the most suitable websites (context) in response to the current conditions (e-commerce activities) while the system continues working towards the user objective goal.

The analysis of the grounding system overvoltage in High voltage substation will be held at Bumnetnarong substation Electricity Generating Authority of Thailand ( EGAT ) by using ATP draw for grounding system’s model of substation also to model overvoltage from lightning and to read the result of overvoltage from differences positions. The advantages of the experiment are to be educated and to who design Grounding system in high voltage substation EGAT. The Study’s result of the over voltage level on Ground Potential Rise: GPR model shows that the pie will show close result to the result from the calculation by standard IEEE Std 80-2000 and the result of the Fault Current at the middle position of the grounding system will result in higher overvoltage than at the result at the corner position of Grounding system. The result of Ground Resistance: Rg shows that the increasing of overvoltage the increasing of Ground Resistance: Rg

The purposes of the research were to create computer assisted instruction for Electric Power System Analysis Chapter 1-2 to find out the efficiency validation of computer assisted instruction based on the standard of 90/90 and to analyse the students learning achievement after using the computer assisted instruction. The subjects in the study were 17 third-year diploma engineering students enrolling at Rajamangala University of Technology Phra Nakhon. The researcher made the experiment by having the students pretest. Then they studied by using the computer assisted instruction focused on practicing basic turning. After the students had studied and had posttest the efficiency of the computer assisted instruction was calculated as well as the learning achievement was analysed. The research result revealed that the efficiency of the computer assisted instruction was at the standard of 90 / 90. Moreover the learning achievement after using the computer assisted instruction was different at the significant level of 0.05.

The objectives of the study were to find the arrival rate of applicants who applied to study at Rajamangala of Technology Pra Nakhon North Bangkok Campus the service rate of admission officers and to analyze queuing system in order to improve the admission system. The sample was 1722 technical students who applied to study in 10 divisions in 2007 and 2008. The plication date was collected every 10 minutes in each one-hour period from 09.00 am. to 16.00 pm. For 6 days. The study found that the distribution of the number of applicants was Poisson distribution. The highest arrival rate 1.29 student/min was at the second period and the lowest arrival rate 0.06 students/min was at the sixth period. The Distribution of service time at each station was exponential distribution. The highest service rate 0.67 min/student or 1.49 students/min was at the second station entering data into a computer. Queuing analysis in this study was series network. The analysis found that the highest expected number of applicants in the system 150 student/hour was at the first station in the second period and in the sixth period there was almost none. The highest expected number of applicants in the queuing system107.40 student/hour was at the first station in the second period The highest expected waiting time in the system.1.92 min/student and in the queuing system 1.37 min/student were at the first station. The probabilities of none of applicants in the system at the first the second and the third station in the sixth period were high 0.97 0.95 and 0.98 respectively. The proper value of the expected number of applicants in the system set in this study was not more than 60 student/hour and not less than 30 student/hour. The proper value of the waiting time in the system was not more than 1 min/student and not less than 0.5 min/student for stations for stations with more than one servers. The analysis found that at the first station one more server should be added in the second the third and the forth period and one less server should be reduced in the sixth period.

According to my research that follow a purpose for educated variable of design and a mould building pattern. Bulging letters on a smooth sheet keyboard for produce a supply data device for comfortable to supply data by touching. Reduce use your eyes for looking on keyboard and help to relax your hands muscle from typing. From example in 50 people statistics that use analysis data the percentage the stan4ard deviate value t-test value. From research result design and a mould building pattern build from bulging letters on keyboard lumps from a copper mould building. This use metal that pass Electrical Discharge Machining Technology: EDM pump on Silicon and fume by heat for silicon freezing. Produce process consist of Lathe Milling Drilling Grinding Wire Cutting Machine Cutting Edge Grinding Wheel and Assembly and Fitting that use with NC and CNC (Numerical Control and Computerized Numerical Control) Software that use to control machine consist of CAD (Computer Aided Design) that use for writing and CAM (Computer Aided Manufacturing). the use of puffed up alphabet keyboard research because of knobs on the keyboard made of Silicone has soft and bend follow the characteristic of that alphabet. When you place fingers on the keyboard the movement of fingers tip from fondle the location of alphabets for check the difference between each alphabet. From the result people who are expert or have fast for touch screen typing test to find thee difference of seeing the keyboard before use of typing practice program use finger tip for fondle type of each alphabet. In case of people who cannot remember alphabet s keyboard they will adjust the movement of finger tip for realize and have accurate location of alphabet for correction of location of finger that place for reduce wrong typing and reduce seeing of keyboard accordingly to help to allow the comfortable from putting the data by touch screen system Keyword : keyboard ldata enter equipment I knob keyboard Isilicone I puffed up alphabet I block pattern! puffed up typing Itouch screen typing