Nowadays Eye Tracking Technology is one main challenge for developers of new human-computer interface. This technology provides a more natural way of interacting with a computer system by user’s eye. Now commercially available systems exist; however they are not widely used because of expensiveness. This paper describes a tutorial that shows step by step how to build a low-cost eye tracker using eyeglass setup. The glasses are designed to work with video-oculography technique (VOG) in the infrared spectrum. The key features of the eye is a center of the pupil. The gaze point of users are estimated based on order polynomial regression (linear quadratic and cubic). This research conducted an experiment with 30 participants tested eye-gaze calibration. Consequently the experimental results showed that eye-gaze can be estimated in real-time while the cubic function can be accurate eye-gaze position more than the other function.

This research aims to 1) set up analysis procedures and define the Information. 2) to Apply DMAIC to the information. 3) to comprehend the number of information models. 4) to Study the acceptance of Information models. And 5) to analyze the acceptance of the Six Sigma Quality indicators . Sample group consisted of 116 people included high-ranking executives middle executives specialistsand operational executives. The simple random sampling from the population of 424 people. The tools used in this research comprise the information models content correctness assessment forms acceptance assessment forms the information models and indicators. The results have shown that 1) the process for analyzing and defining the information consists of four procedures 2) the Information models can be formed with the five steps of DMAIC 3) applying DMAIC has shown that 42 models 4) The number of the populations accepting the models is higher than that of those who do not accept them with statistical significance at .05 level. And 5) The number of the respondents accepting the indicators is higher than that of those who do not accept them with statistical significance at.05 level.

The utilization of agricultural products and unique local Phetchaburi products development was studied by using Palmyra palm as an ingredient of bread at 0 25 30 35 and 40 percent of wheat weight. Test of bread quality included color specific volume density texture and sensory evaluation. It was found that when the percentage of Palmyra palm use increased the levels of yellow (b*) color red (a*) color and density of bread also increased while the bread’s specific volume decreased (p<0.05). Furthermore the change in bread quality also affected the bread’s texture. That is the increased percentage of Palmyra palm made the bread’s hardness and chewiness higher. This corresponds with scores from sensory evaluation. The Palmyra palm could be used as an ingredient in bread making up to 35%. At this level the bread had similar quality and property to general breads but still reserving its local uniqueness. Therefore local resources could be utilized to create additional career and

Bicomponent fiber is a specific type of synthetic fibers with two different properties of polymers joined together in the same filament during spinning process. Bicomponent fibers have distinctive properties from monocomponent fibers. The properties of fibers are outcomes of type of cross section properties of composed polymers fiber spinning process condition and after-treatment process. The primary applications of bicomponent fibers are self-crimping (or self-bulkiness) fibers thermal binder fibers microfibers and special property fibers which can be added into the shealth of fiber. The fiber processing types and applications of bicomponent fibers are summerised and stated in this paper.

Quantitative research synthesis employed statistical methods to synthesize several research papers which were identical in terms of research problems Meta-Analysis in order to discover a standard index that was able to synthesize the aforementioned research papers and to measure the quantifiable effects of manipulated variable on the dependent variable. Regarding this article the author presented and explained Longford’s estimation of effect size which is one of the most efficient and recent estimations. The study proved the background and functional model of the estimator of effect size. In addition the calculation examples following the estimator of Longford’s effect size were demonstrated by meta-analysis.