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

This study has two major proposes to study marketing mix via Smart Sales system factors on a customers decision behavior of buying life insurance via Siam Commercial Bank PCL. This methods research was quantitative research. The sample was selected 400 local people in Bangkok area from multistage random sampling by presented in the tables percentage average standard deviation to comparative analysis and use inferential statistics to examine hypothesis by regression analysis. The results of a short empirical survey of the local in Wisuthikasat area are presented. These show that Smart Sales system influence to life insurance buying at statistically significant at level 0.05 by this prediction equations; Buying Decision = 2.586 – 0.077 (Product) – 0.146 (Price) + 0.387 (Place or Distribution) + 0.109 (Promotion) – 0.213 (People or Employee) – 0.477 (Physical Evidence) + 0.051 (Process). The independent variable effecting Siam Commercial Bank insurance buying decision which significantly found at the level of 0.05 was the physical evidence factor. They were the bank symbol public relation brochure management officer uniforms customer acceptance of Siam Commercial bank in Wisuthikasat area branches stability respectively including the negative information of the bank branches.

The image enhancement process of a digital image is a part of digital signal processing which it plays an important role in some industrial segments for instance object classification or bio-identification satellite exploration or aerial images robot vision cancer treatment etc. These image applications are necessary to consume many resources in physical hardware and computer programming including the intelligent algorithm development of complexly advanced processing in order to enhance digital images – as well as be easy to analyse by humans. This research is aimed to present on Contrast Enhancement using Bi-Histogram Equalization via Two Dimensional Discrete Wavelet Transform (BHE2DWT) in order to compose the coefficient wavelet from other signals. At the end of the process information on the approximation band from DWT will be divided into two sub-histograms and then histograms will be independently equalized. After that resulting histograms will be decomposed by IDWT. Resulting images will be not only more displaying in high contrast than their original images but also preserve the absolute mean brightness error (AMBE) to close their original images.

The objective of this research is to propose a new way to fabricate a composite material for future bone replacement development via growing apatite crystal on silk fibroin fiber. Apatite crystallization on silk fibroin fiber was prepared by precipitation reaction between Ca(NO3)2 solution and (NH4)2HPO4 solution adjusted pH by NH4OH solution. In this work Effect of solution concentration and initial pH values was investigated on apatite crystals. Chicken eggshells were used as calcium source by heating sufficiently powdered eggshells at 1300 °C for 4 h to acquire CaO powders made Ca(NO3)2 solution by dissolving in 65% HNO3 solution. Prepared Ca(NO3)2 solutions were adjusted concentration as 3 levels and were adjusted different pH values of 7 8 and 9 respectively. For processing of apatite crystallization silk fibroin fibers were immersed in Ca(NO3)2 solutions for 30 min. After that (NH4)2HPO4 solutions were added in silk fibroin fibers immersed in Ca(NO3)2 solutions. Reaction time was fixed about 1 min before cleaning to remove impurity precipitates on surface of silk fibroin fiber. Finally apatite crystallization on silk fibroin fibers occurred. The obtained result can conclude morphologies of apatite crystals on silk fibroin fibers was sheets sphere and flower. Solution concentrations and initial pH values directly influenced on Ca/P ratio of obtained apatite crystals by Ca/P ratio increases as increased solution concentrations or increased pH values. Finally research silk fibroin fibers were woven as two patterns of plain weave and twill weave and they were investigated Young’s modulus and tensile strength. The result indicates that Young’s modulus of silk fibroin fiber sheets woven as twill weave and as plain weave were about 616 MPa and 425 Mpa and tensile strengths of them weave were about 40 Mpa and 72 Mpa respectively. The optimum condition of growing apatite crystals on silk fibroin fibers was sample of CP19. Design of silk fibroin fiber with plain weave was an optimum pattern for future biomedical applicaions.

This research presents the development of food exchange list program for individual person by using local search technique. Controlling conditions of the research the nutrients calculated of carbohydrate protein and fat must be less than 3 grams/day and 30 Kcal/day for energy has also been controlled. All development has been done on laptop computer. The results show that the averaged search time and the averaged search iteration are 2.8176 seconds and 2484 iterations respectively. The variations of carbohydrate protein and fat are –0.2683 +0.015 –0.6 grams respectively. The proposed local search technique can reduce the time of calculate up to 1278 times per case study when compared with training people.