วารสารวิชาการเทคโนโลยีอุตสาหกรรม (J. Ind. Tech.) อยู่ในฐานข้อมูล TCI กลุ่ม 2 (2563) มีค่า JIF = 0.094 | The Journal of Industrial Technology (J. Ind. Tech.) is indexed in TCI Tier 2 (2020) with impact factor, JTIF 0.094

Articles

A Study of Administration and Management of Rajabhat Institute Science Curriculum for Bachelor of Science Program in Industrial Technology (Construction) B.E.2543

Other

This research aims to study the opinions of administrators and instructors concerning conditions of curriculum administration as well as learning and teaching management of Rajabhat Institute Science Curriculum for Bachelor of Science Program in Industrial Technology (Construction) B.E.2543. The research compares real-practice and expected conditions of curriculum administration as well as learning and teaching management. Two sets of questionnaires were employed to study the opinions of 39 administrators of Rajabhat Universities and 52 instructors of Industrial Technology (Construction) Program. The data were analyzed by SPSS Program to find percentage, mean, standard deviation, and t – test. The results were as follows: 1. For the real-practice conditions of curriculum administration, it was found that the aspects of preparation and development of instructors and quality assurance of education were at high level. For the expected conditions of curriculum administration, the results showed that the aspect of preparation and development of instructors was at the highest level. 2. The comparison between the real-practice and the expected conditions of curriculum administration showed that every aspect of real-practice conditions was lower than that of expected conditions of curriculum administration at the statistically significant level of 0.01. 3. According to the real-practice conditions of learning and teaching management, it was revealed that the aspects of management of learning and teaching activities and measurement and assessment of students were at high level, which was similar to the expected conditions of learning and teaching management. 4. The results of the comparison of the real-practice and the expected conditions of learning and teaching management reported that every aspect of real-practice conditions was lower than that of expected conditions of learning and teaching management at the statistically significant level of 0.01.

A Study of Operating Speed on Rural Highways Passing Community Zone

Civil Engineering

This paper describes a study of travel speed of vehicles passing community which located on roadside of rural highways. The objectives of this paper were to survey the number of vehicles which drove with excessive speed over speed limit of both outside and inside community area. To survey the operating speed and to survey operating speed after traffic engineering measures installation on study area. Ban Pa Yang community, Muang district in Nakhon Si Thammarat (NST) was selected as a study area. Traffic engineering measures will be selected from the speed survey results of vehicles passing community. The study results showed that the top three volumes of vehicles passing community were motorcycles, private cars and pick-up trucks, respectively. The survey results of operating speed showed that private cars drove passing community with excessive speed over speed limit of highways, however, the operating speed of trucks were gradually reduced before entering community and increased over speed limit again when passing community zone. Motorcycles were the only one vehicle type which drove lower than speed limits of both outside and inside community zone. Transition zone area was a traffic engineering measure which was defined the distance for reducing speed before entering community by calculated from the data of speed survey outside community area. The average operating speed outside and inside community study area was evaluated by paired-sample t – test statistic. The survey results showed that the average operating speed of trucks and motorcycles after measures installation on transition zone were lower than the average operating speed of trucks and motorcycles before measures installation significant at a confidence level of 95%.

A Study on Knowledge and Skills Essential for Work Safety in Automotive Factories

Machanical Engineering

The objectives of this study were to study the factors that affect the work safety of employees in the automotive parts manufacturing industry according to the supervisor opinion and study the knowledge and skills necessary to manage the safety in the operation of employees in the automotive parts production line. The samples were the supervisor of the production department of the automotive parts manufacturing industry in the areas of Rayong, Chonburi and Chachoengsao. Questionnaires and statistics used in the analysis were frequency, percentage, mean and standard deviation. The results showed that the factors that affect the safety of the employees in the automotive parts manufacturing industry as a whole were at a high level. (x􀴤 = 4.08) Including factors on each side, with an average of all levels, The most average aspect is the working environment. (x􀴤 = 4.23) The person with the lowest. (x􀴤 = 3.94) The knowledge and skills necessary for the supervisor to manage safely in the overall picture were at a high average. (x􀴤 = 4.00) Especially the knowledge of the operation is the highest average. (x􀴤 = 4.08) Which the skills of good leaders that the supervisor or the senior management must use a lot of technical skills including knowledge and expertise in the operations of that department to resolve problems with subordinates.

A Study the Students Motivation in Applying for the Bachelor of Engineering Technology of College of Industrial Technology at King Mongkut s Institute of Technology North Bangkok *

Other

The objective of this research was to study the students motivation in applying for the Bachelor of Engineering Technology of College of Industrial Technology at King Mongkut s Institute of Technology North Bangkok, and to study the students background and their chances to become graduated. The samples were 262 students who were the first year students of all disciplines in the Bachelor of Engineering Technology in the first semester on academic year 2005. Research method was questionnaire and the data were analyzed using statistic methods including frequency, percentage, arithmetic mean, standard deviation, Pearson Chi-Square, t-test, one-way analysis of variance (ANOVA). The hypotheses were tested at the significant level of 0.05 by using the SPSS program. The findings of the research were 1. The general motivation of all students was found to be at a high level. The motivation regarding educational goal was found to be at the highest level. The curriculum or discipline, the role of College of Industrial Technology and the students personal reason were at a high level. 2. The chance of students to graduate was found to correlate with their background, the family income and the studying field. However it was not relate to the students gender and their former school. 3. The comparison of student s motivations hypothesis testing of this research was found to be statistically significant at 0.05. Gender and family income students were found to be different while the students motivations were the same.

A System for Cooking Recipe Sharing and Cooking Recipe Finding by an Image of Ingredients using Deep Learning Technique

Electrical and Electronics Engineering

Nowadays, healthy eating is very popular. People start to cook their own food from existing cooking ingredients. However, sometimes they do not know what food can be cooked from existing ingredients. Therefore, they cook the same food, resulting in monotonous eating and not enjoy cooking. This research article presents the design and development of a system for cooking recipe sharing and cooking recipe finding by an image of ingredients using deep learning techniques. Users can use the application on mobile devices to share cooking recipes. Moreover, users can take a picture of ingredients that users already have in the kitchen such as garlic, pork, vegetables, etc. and send that picture into the system to search for cooking recipes from existing ingredients. This process will make users convenient for searching cooking recipes. The main components of the system include (1) A mobile application for general users developed with React Native, which users can add cooking recipes and search for cooking recipes by entering the ingredient names. Also, the user can use the mobile device to take a picture of ingredients to find cooking recipes, (2) Web application developed on the MERN stack for system administrators, which system administrators can add keywords of the search term for ingredients and test the model that has been created, and (3) Deep convolutional neural network using the YOLO algorithm through the Darknet library for creating the image recognition model. The model has taught to be able to recognize 20 types of ingredients using 100 images of each type of ingredient. After training our model for 36,000 rounds, the model has an average loss of 0.0408 with the precision, recall and F1-score at 0.96, 0.98 and 0.97 respectively.

A Water-Balance-Based Dual-Axis Sun Tracking System

Science

This paper presents a new technique for solar tracking system with very low power consumption. In order to track the sunlight, the solar panels connecting to the floated-balls are moved by water level balance adjusting. The proposed system is controlled by micro-controller. The signals from light-dependent resistor (LDR) sensor and reference voltage are compared and used to control the 12 V DC windshield washer pump for adjusting the water level which corresponds to the sunlight perpendicular. As a result, the accuracy of solar tracking depending on water level varying is achieved. The proposed system has ability to control with 2 axes; north-south and east-west. A comparison result between the proposed system and conventional method with one solar panel shows that the improvement of the sun power harvest of 7.91 W or higher than 37.63 % is given by the proposed system. It is also found that by using one solar panel for five days operating with twelve hours per day, the proposed solar tracking system has ability to harvest the energy of 347.16 Wh/day with power consumption of 0.66 Wh/day. When three solar panels are employed, the energy harvest of 1212.84 Wh/day with power consumption of 1.76 Wh/day is obtained. Additionally, the power consumptions between the proposed system and the DC motor controller of solar tracking systems using for one solar panel are compared. The results show that the DC motor controller shows power consumption of 10.8 Wh/day or 1.147 % whereas the energy of 0.66 Wh/day or 0.19 % is consumed by the proposed system. It is reveal that the lower power consumption of 0.958 % is given by the proposed system. Therefore, the proposed system has ability to reduce the power consumption of the solar tracking system.

Accelerated and Real Carbonation Situations of Concrete

Civil Engineering

This research aims to study the carbonation of concrete partially replaced fly ash, ground granulated blast-furnace slag (GGBS) and limestone powder in ordinary Portland cement (OPC). The concrete 100 x 100 x 100 mm specimens were used in this study. The concrete samples were cured in water for 28 days, and then exposed to carbon dioxide. Concrete specimens were divided in two parts. The first part was exposed to carbonation in carbonation catalyst chamber for 90 days. The second one was placed in the atmosphere exposed to carbon dioxide at kilometer No.52 on Phetkasem Road, Muang district, Nakhon Pathom Province for 90, 180 and 270 days. The results indicated that the carbonation of concrete with fly ash and concrete with GGBS was significantly higher than that of OPC concrete, while the carbonation of concrete with limestone powder was close to that of OPC concrete. Furthermore, the carbonation of concrete in carbonation catalyst chamber, having more carbon dioxide, was greater than that of concrete in atmosphere exposed. In addition, the carbonation coefficient of concrete with fly ash and concrete with GGBS was higher than that of OPC concrete, while the carbonation coefficient of concrete with limestone powder was nearly the same when compared to that with OPC concrete. Finally, the carbonation depth of concrete exposed to carbon dioxide in the real situation can predict from the depth of carbonation of concrete in accelerated situation.

An (s,Q) Inventory Control Model with Return Cost and Price Discount

Industrial Engineering

The objective of this study is to construct an inventory control model for an inventory system single item single source by considering the (s,Q) inventory policy with returned items and find the optimal point of purchase (s*) and optimal order quantity (Q*) that minimizing the total cost. In case of regular order, the relationship between demand and returned items is considered into two cases which are 1) demand and returned items are independent 2) demand and returned items are dependent. Demand and return items have Poisson distribution. The results of numerical study show that the case of demand and returned items are independent, the optimal order quantity is greater than the case of demand and returned items are dependent. On the other way round, the previous case reveals lower the minimum of total cost than the latter case. Moreover, these two cases have the same optimal point of purchase. In case of adding price discount, the results show that the case of demand and returned items are independent is greater optimal order quantity than the case of regular order, and the minimum of total cost is decreasing. Demand and returned items are dependent, the case of adding price discount is greater total cost than the regular order. Then, optimal order quantity and the minimum of total cost remain the same.

Get alert for journal's news

Get alert for journal's news. You can recieve journal up-to-date information by giving your email to us.