The objectives of this research were 1) study about educational achievement in financial ratio of undergraduate of Sripatum University by cooperative learning: numbered heads together. 2) compare the learning achievement in financial ratio being taught by cooperative learning: numbered heads together technique and the Traditional teaching method . The population used in the research was 80 students that enrolled in business finance on semester 1/2012. The population was divided into a control group and an experimental group. Each group contained 40 students. For data analysis mean standard deviation t-test were used. The research finding indicated that the learning achievements of students using the cooperative learning : numbered heads together technique and the traditional teaching method were at variance with statistical significance at the level of .05 whereas the learning achievement of students of the experimental group treated by cooperative learning: numbered heads together was found higher than the experimental group treated by the traditional teaching method.

This research is the comparative study of three forecasting methods on SET 100 index. These methods are Simple Exponential Smoothing method Holts method and Box-Jenkins method. Two sets of data were used in this study. The first one used as a training set was collected from January 2 2008 to September 30 2011. The other one used as a testing set was collected from October 3 2011 to October 14 2011. We propose that the most appropriate forecasting method is the one which give the lowest MAE MSE MAPE and diagnostic checking. The results show that Holt’s method displays the lowest MAE MSE and MAPE. The next one is Box-Jenkins method while the Simple Exponential Smoothing method exhibits the highest value of all three indicators. However the model from Box-Jenkins method is the only one way that reveals no residual autocorrelation. This leads to the conclusion that the appropriate models for forecasting of SET 100 Index is ARIMA (213).

The objective of the research was to identify the optimized thread tensile values for the setup of Model D – We 1218-55 computerized 18-needles sewing machine in order to minimize a number of times the machine halts. The cause of the sewing machine halting which reduced the efficiencies of the machine was found to be torn threads. In order to maximize the efficiencies the experimental design technique was utilized to find the optimal values for five types of cloth: polo tc-cool cotton jacket and shirt. The method involved three nested designs which are the type of thread number of sewing layers and thread-hole size. The three thread tensile levels experimented were low (2 oz.) medium (5 oz.) and high (8 oz.) and the response was the number of times the machine halted in the span of 30 minutes. The ANOVA (Analysis of Variance) used for the experimental design showed that the three factors significantly affected the machine’s halt. The number of times the machine halted was used to create Surface Plot with polynomial trend-lines and the quadratic equation was applied to determine the optimal value for each type of thread number of sewing layers and thread-hole size. The values obtained were then set for another experiment the results of which were that the sewing machine halted less frequently and the efficiencies thus increased about by 77.01%.

Arachis glabata is new variety forage which tolerates drought and provide high protein.This kind of plant is suitable as dairy cow diet. The research was divided into 2 experiments Experiment 1 was conducted to study on nutritive value of Arachis glabata.The experimental design was Randomized Completely Block Design (RCBD) experiment with three treatments. Each treatment consisted of three blocks (three crops) and followed different three variety of Arachis glabata as Cv. Florigraze Cv. Arbook and Cv. Ecotart. Results showed that three variety of Arachis glabata were 28.26-30.75 % of dry matter (P>0.05). In addition Arachis glabata Cv. Arbook was grater 19.78 % of protein than other group of Arachis glabata (P<0.01). Furthermore Arachis glabata Cv. Florigraze was grater 17.63 of hemicelluloses and 3830.00 kcal/kg of gross energy significant different among other group of Arachis glabata (P<0.05). Experiment 2 was conducted to study on ruminal degradability of Arachis glabata using In situ technique in dairy cattle. The experimental design was Randomized Completely Block Design (RCBD) experiment with three treatments. Each treatment consisted of three blocks (three ruminally fistulated dairy cattle) and followed different three variety of Arachis glabata as Cv. Florigraze Cv. Arbook and Cv. Ecotart. Results showed that Arachis glabata Cv. Florigraze and Arachis glabata Cv. Arbook was grater dry matter organic matter and protein degradability at 0-4 hour and 24-28 hour than Arachis glabata Cv Ecotart (P<0.05). In addition kinetic of degradation (a b c and p) of dry matter organic matter and protein were not significant different (P>0.05) among three variety of Arachis glabata.

The objective of this research is to proposed a semi-automatic method for mapping electric poles using the structure from motion technique or SFM. First an epipolar geometry for each image pair is estimated. Then the 3D structures are obtained using incremental SFM technique which will give us both 3D point cloud of the study area and camera parameters. Also vertical 2D lines are extracted from the input images. These 2D lines and the 3D structures are then integreated for estimating the positions of electric pole in 3D space. Finally these 3D electric poles are then geo-registered by estimating 3D rigid transformation from embeded coordinates in the input images.