The objectives of this research were (1) to study media exposure behavior of technology technology learning behavior technology using behavior in daily life and self-development of elderlies in Bangkok (2) to compare between demography and self-development of elderlies in social network and (3) to study effects of factors to self-development in social network of the elderlies in Bangkok. The data were collected from 400 elders who were elderly 60 years and over residing in Bangkok Metropolitans. Data analysis employed frequency percentage arithmetic mean (X) standard deviation (S.D.). Statistics used for hypothesis testing included chi-square t-test One-way Analysis of Variance and multiple regressions. The results of study showed that:

The purposes of the study were 1) to study the ethical characteristics of mass communication students in the digital era 2) to study factors influenced to ethical characteristics of mass communication students (MCS) 3) to analyze the confirmatory factor analysis (CFA) of ethical characteristics of MCS based-on Thai qualifications framework for higher education (TQF) 4) to develop and empirically validate the causal model of the factors influenced to ethical characteristics of MCS based-on TQF. The data was collected from 16 experts and 800 simples including mass communication officers and mass communication and communication arts instructors. Data was analyzed by frequency percentage mean standard deviation (S.D.) stepwise multiple regression analysis confirmatory factor analysis and part analysis. The results showed as follows:

The objectives of the research were 1) to study the level of Integrated marketing communication social factors and the students’ decision on undergraduate education in Dusit district 2) to compare the demographic characteristics towards the students’ decisionon undergraduate education in Dusit district 3) to investigate the Integrated marketing communication that influenced the students’ decision on undergraduate education in Dusit district and 4) to investigate the social factor that influenced the students’ decision on undergraduate education in Dusit district. A sample was identified by a number of 400 people who are undergraduate students of the universities in Dusit District in year 2558 which are Suan Dusit University Suan Sunandha Rajabhat University and Rajamangala University of Technology Phra Nakhon. Questionnaires were used to collect the data. The statistical methods used to analyze data were frequency percentage mean standard deviation t-test one-way analysis of variance and enter multiple regression analysis. 1) The results indicated the majority of sample group were female students for 68.25 percent. Students lives in Bangkok metropolitan region for 51.75 percent. Parents graduated with Undergraduate degrees for 32.25 percent. Parents run their your own business for 36.50 percent. Family income is 15001 – 30000 baht per month for 47.50 percent. 2) The integrated marketing communication and social factor were prioritized in a high level. The students’ decision on undergraduate education were prioritized in a medium level. 3) Student with different gender domicile educational level of parents occupation of parents and monthly family income showed no differences of students’ decision on undergraduate education in Dusit district. 4) The integrated marketing communication including public relations and direct marketing increased the level of students’ decision on undergraduate education in Dusit district. and 5) The social factor including reference group and family increased the level of students’ decision on undergraduate education in Dusit district

The objectives of this research were to study personal factors and cat product consumer behavior. To study marketing mix factors related to customer behavior included marketing mix factor related to cat product consumer behavior in Thailand metropolis. This research was combined 2 methods. Quantitative research: The samples were 400 consumers by using questionnaire as tool to collected data. Analyzed by using descriptive statistics to determine frequency percentage mean standard deviation Pearsons chi-squared test statistics on the statistical level significance of .05. And Quality research: The sample are opinion leader vendor and consumer by using Indepth interview to analyze relation between opinion vender and consumer conform to result of quantitative research.

The objectives of this research are to propose a proper model for detecting defective machines in auto parts factories to apply the proposed model to the defective product data and to investigate the factors influencing on the machine producing defective products. A Bayesian hidden Markov model (HMM) is adopted. The results show that if the number of defective products increases the machine will be in the hidden bad state. The probability of changing from a hidden bad state to a hidden good state is higher than the probability of changing from a hidden good state to a hidden good state. The highest probability that the machine will be in a good state is at the work process 4 followed by 1 3 and 2 respectively. The highest probability that the machine will be in hidden good state is at the Worker no. 10 followed 9 3 12 7 2 1 6 11 4 8 and 5 respectively and The highest probability that the machine will be in the hidden good state is at the product type 1 followed by 2 and 3 respectively.