The purposes of the study were to investigate Relationship between work environment and work satisfaction at Aurora Design Company Limited. 300 sample employees at Aurora Design Company Limited were selected to response to questionnaire. Computer package software was applied to acquire the values of percentage distribution mean standard deviation and Pearson Correlation Coefficient. It was found that in the aspects of welfare colleagues work security work promotion working hours income wage were significantly related to work satisfaction. In terms of satisfaction on work position advancement and job description perception were interconnected to work satisfaction.

The segmentation of interesting objects within the image is an important process to provide information for other procedures. The major problem of image segmentation is the number of objects suitable for classifying objects. This research aims to present on Image Segmentation using Fuzzy C- Mean Via Image Filter. The objects will be split up using their object intensities. The proposed method can classify several objects at the same process. Therefore it saves time to process less than other existing methods. The proposed method is consisted of three steps: noise reduction histogram smoothing and object classification. The results of the proposed method found that objects are automatically classified by Fuzzy C-Mean. Moreover the algorithm that successfully calculates the proper number of segmentations

Currently the toy manufacture is beginning to be interested in greenhouse gas or carbon dioxide equivalent release reduction. Because this is one to way to encourage production cost environment trouble and organization image valve efficiently. The receivable standard for evaluation is carbon footprint for Organization CFO. So this research has objective to study opportunity for initiate CFO in Toy Manufacturing plant case study this CFO is able to evaluate energy consumption and GHG release systematically. This can be used to prepare plan of energy consumption reduction management and reduce GHG release of efficiently. This research was study energy consumption and GHG release by using database of 2010 we found that plant case study was released carbon dioxide 8500 tons CO2 carbon dioxide equivalent by calculated into Scope 1 = 1249 tons CO2 Scope 2 = 6948 tons CO2 equivalent and Scope 3 = 304 tons CO2 equivalent. So the result from this research is being uses important information for planning energy consumption reduction and GHG release of sustainable case study.

The effects of plant growth regulators alone or in combination on Hexachlorocyclohexane (HCH) phytotoxicity were studied. Waxy corn seeds were immersed in different plant growth regulators that are 1) 2 mg/l Indolebutyric acid (IBA) 2) 2 mg/l Thidiazuron (TDZ) 3) 2 mg/l Gibberellic acid (GA3) 4) 1 mg/l IBA + 1 mg/l TDZ 5) 1 mg/l TDZ + 1 mg/l GA3 and 6) 1 mg/l IBA + 1 mg/l GA3 then sawn in 30 mg/kg HCH-contaminated soil or non-contaminated soil for 10 days. All plant growth regulators could enhance shoot and root dried weight of waxy corn seedlings in non-contaminated soil. Only 2 mg/l GA3 could enhance root length of waxy corn seedlings in non-contaminated soil. In HCH-contaminated soil only 2 mg/l TDZ could increase shoot dried weight of waxy corn seedlings. Also 2 mg/l IBA or 1 mg/l IBA and1 mg/l GA3 could increase root fresh weight of waxy corn seedlings. The exposure with HCH in soil did not affect to shoot and root tissue even though the growth of shoot and root were inhibited. However the exposure with HCH and receive exogenous plant growth regulator induced aerenchyma formation in cortex and pith of waxy corn root.

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.