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 objective of this research work was to arrange a performance measurement for finding factors which will have influence on the capacity of Faculty of Engineering Rajamangala University of Technology Phra Nakhon leading it to become a digital university. The results of making a survey on the data from the personnel of the Faculty of Engineering showed that: the factor that had the most influence on the capacity of the Faculty of Engineering Rajamangala University of Technology Phra Nakhon was the factor of knowledge and attitudes (the mean was 3.61 which stood at the level of comments very); regarding the level of comments this was followed by the factor that had influence on the capacity of the Faculty of Engineering in terms of the environment in the organization (the overall mean was 3.49 which stood at the level of comments moderate); the factor that had influence on the capacity of the Faculty of Engineering in terms of participation came in the last place (the mean was 3.41 which stood at the level of comments moderate). The basics results obtained from this research work will be partly used as an approach to help improve the processes of the Faculty of Engineering. This will support stepping into becoming a digital university in the future.

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.

การวิเคราะห์ข้อมูลการซื้อขายซึ่งประกอบไปด้วย ราคาปิด ผลต่างของราคาปิด ผลต่างของปริมาณการซื้อขาย ผลต่างของดัชนี SETIndex NYMEX crude oil และ DJIA โดยใช้ข้อมูลที่มีช่วงเวลาเป็นวันและข้อมูลผลต่างจะใช้ข้อมูลวันที่คานวณกับข้อมูลในวันก่อนหน้านั้น ซึ่งการประยุกตใชวิธีการ K-NN (K-Nearest Neighbor) การวิเคราะหจังหวะการซื้อขายหุ้นโดยใช้การคาดการณ์จากการที่ K-NN จัดกลุ่มข้อมูลเข้ากับข้อมูลต้นแบบเพื่อพิจารณาว่าข้อมูลในวันถัดไปควรจะเป็นการขึ้นของราคาหรือไม่เพื่อประกอบการตัดสินใจซื้อขาย โดยข้อมูลที่ใช้เป็นข้อมูลในการเป็นแบบจาลอง 710 ชุด และข้อมูลในการทดสอบอีก 181 ชุด ผลจากการใช้ K-NN โดยประสิทธิภาพในการทานายจากการกาหนดค่า k = 21 สูงที่สุดจากการเลือก ค่า k ตั้งแต่ 1 ถึง 29 โดยสามารถทานายได้ถูกต้อง 107 ชุด และทานายผิด 74 ชุดข้อมูล ซึ่งประสิทธิภาพในการทานายคิดเป็นประมาณร้อยละ 59 ซึ่งใช้ประกอบการพิจารณาการซื้อขายได้