The purposes of this study were to study the level of student’s opinion toward the factors supporting the student’s self-discipline to study the level of the student’s self-discipline to study the factors related to student’s self-discipline and to study the factors supporting the student’s self-discipline at King Mongkut’s Institute of Technology Ladkrabang. The results of study were found that the student’s opinions towarded the four factors supporting the student’s self-discipline were at high level (X = 4.03) the student’s self-discipline in five aspects was at high level (X = 3.89). Four factors consisting of the student the family the institute and the teacher had positive relations with the student’s self-discipline. The factors about teacher student and family could predict the student’s self-discipline at 0.01 significance level. And 3 factors could predict the student’s self-discipline at 36.9%.

This thesis emphasizes the improvement approaches of quality on digital data to be more sharpness by two- dimensional technique. Today the availability from the improvement of Digital Image Processing is used widely in various occupations such as medical field with reading the results from CT scanning military field with the improvement of aerial map for country prevention agricultural field with leaf analysis of its disease and the educational field with the image processing and robot vision to increase its effective learning and remembering development. It can be seen that the image development through its sharpness is really crucial therefore this thesis used the Gray Scale for transforming by two-dimensional wavelet and LL Band got from this wavelet transform to be improved by histogram technique. The histogram was divided into 4 parts based on its cumulative density at 0.25 0.5 0.75 and 1 then smoothed the data by separation after that brought the results to invert wavelet which gives the new image through improved LL band. The research result revealed that the mean of the Absolute Mean Brightness Error (AMBE) was decreased while enable the image sharpness to suitably increase 80%.

The objective of this research aimed to study factors affecting earning persistence and firm value of list firms in the stock exchange of Thailand in set 100 Index. The data was collected in 5 years period from 2011 – 2015 which including 213 samples and then analyzed data by using descriptive statistics and multiple regression analysis. The research revealed growth rate of sales current earnings and cash flow for short term investment reflected to earnings persistence. Furthermore this research also shed some light on factors affecting firm value and found that earnings persistence financial risk dispersed ownership structure and discretionary accrual directly affected to firm value. These results provided more information to investors about significant factors for decision making especially discretionary accrual factor. Therefore firms who have low level of earnings management and high level of earning persistence will reflect to future firm value.

Currently the edge image is regarded as important in the process of digital image processing. Because in the field of image processing in certain fields require lines or the edge of a complete description of the image in the photo itself. It is also essential to engineering. Most commonly used to calculate the difference like testicle to calculate the area between the point-to-point. Applied to select the coefficients to be used in combination with a new edge image clarity of the picture more. In this research will be trimming the edge blending image to compare the quality of the image obtained by the theoretical conversion web Paulette (Wavelet Transform) to demonstrate how to mix the new image it can provide the sharpness of the image the better. The assessment found that the proposed method can increase the contrast of the image. And maintaining data within the output video in its entirety

The sharpness of the image the current demand is increasingly high. Since many types of screens has developed a definition and high definition media support for secondary NICs modern electronica. But if we have information that is incomplete. Monitor is not working efficiently. There are various ways to improve the clarity of digital images. For example HE BBHE DSIHE and MMBEBHE have been developed to improve the image sharper and brighter. By improving the techniques for Histogram Equalization independently of each other. In this paper will present the Digital Image Enhancement via Multi-Peak Histogram Equalization (DIEMPHE) by histogram equalization into n sections as the turning point arch top and bottom of the Histogram. By each section is independent. Image results are the average brightness error is lower and the higher the intensity of the image.