วารสารวิชาการเทคโนโลยีอุตสาหกรรม (J. Ind. Tech.) อยู่ในฐานข้อมูล Thai-Journal Citation Index Centre (TCI) กลุ่ม 1 (2564 - 2567) และ Asean Citation Index (ACI) มีค่า JIF = 0.094 และ T-JIF (3 ปีย้อนหลัง): 0.165 | The Journal of Industrial Technology (J. Ind. Tech.) is indexed in Thai-Journal Citation Index Centre (TCI) Tier 1 (2021 - 2024) and Asean Citation Index (ACI) with impact factor, T-JIF: 0.094 and 3-years T-JIF: 0.165

Articles

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.

Analysis of Electric Arc Furnace Effects for Power Quality of System and Increasing Energy Efficiency to Reduce Heat Loss in The Energy Balance Condition of Steelmaking Process

Electrical and Electronics Engineering

This paper presents the research of an electric arc furnace classified into 2 part. The first is analysis of the impact of the electric arc furnace which is a harmonic source. It is caused by a disturbance in a system with nonlinear characteristics of the arcs is caused due to an electric arc furnace. Ripple voltage measurement relies on replication of Novel Arc Furnace model by using PSCAD/EMTDC help in the analysis, which is used as a guide to study the function of this furnace and how to fix the problem by installing the Static Var Compensate the system of industrial steel production. Measurement results signal that causes the ripple voltage signal changes in a small range, and the signal is reduced in the system. The second, presented to enhance energy efficiency by experimental melting steel to find the amount of heat loss through the wall furnace. Loss of heat from burning. Loss of heat from the stove to heat all the losses in energy homeostasis, a smelting process is controlled by the temperature of the steel which is poured from the furnace to the crucible and steel to reduce heat loss is reduced by approximately 2.89 kW, the resulting analysis and experiments to improve the energy of electric arc furnaces, this paper can increase energy efficiency by approximately 99.56 %.

Factors for Success for Online Business Entrepreneurs in the Digital Age

Electrical and Electronics Engineering

The objectives of this research were to: 1) study the success of online business entrepreneurs in the digital age; and 2) examine factors contributing to the success of online business entrepreneurs in the digital age. This research employed quantitative and qualitative research methodologies. In the quantitative research, the sample consisted of 260 online business entrepreneurs, obtained via multi-stage sampling. The sample size was determined based on 20 times the observed variables. Data were collected with the use of a questionnaire and analyzed with a structural equation model. For the qualitative research, in-depth interviews were conducted with 15 key informants including online business entrepreneurs and academic persons in the field of marketing. These informants were selected by purposive sampling. Data were analyzed with content analysis. The research findings showed that: 1) the success of the online business entrepreneurs was rated at a high level; 2) the characteristics of entrepreneurs, information technology, business strategies, and management innovation, all contributed to the success of online business entrepreneurs in the digital age with .05 level of statistical significance. Moreover, the findings also revealed an important point that entrepreneurs in the digital age needed to examine the needs of customers and respond to such needs promptly so that a marketing opportunity could be gained quickly. This could be done with the use of technologies in the digital age. Additionally, online entrepreneurs also needed to adjust their marketing strategies according to the market situations to ensure that they are competitive. They also needed to apply management innovation in the adjustment of business strategies to increase sales and expand their markets. These would align the business according to customer needs, leading to customer satisfaction, word of mouth communication among customers, repeat consumption, and brand loyalty. These findings can be used as guidelines for the development of success of online business entrepreneurs in the digital age by enhancing their potential in terms of marketing competitive advantage, creating and improving trading networks, and applying innovations and modern technologies in the development of their online businesses.

Investigation and Designing of an Electronic Ballast for Electrical Energy Saving in Lighting System

Electrical and Electronics Engineering

Nowadays, high frequency electronic ballasts, instead of iron core ballasts, are increasingly used to drive fluorescent lamps because there are many advantage characteristics comparing with the core type. However, some of electronic ballasts that were made and sold in the market, the manufacturers did not deeply understand the concept of circuit topologies. This research presents the concepts of topology approaching the circuit of the electronic ballasts. These showed the relationship between electrical specifications and circuit topologies that come to meet standards. Finally, the research provides a design guideline for the high frequency electronic ballasts with 2-stages approach including practical considerations. Experimental results from 2 × 36 W lamp prototype electronic ballast were presented to demonstrate the good electrical characteristics that comply with the IEC-929 and TIS-1506-2541 standards. The test result showed that the circuit power-factor was 0.997 (Lagging), the total harmonic distortion of input-line current was 2.03%, the lamp current crest factor was 1.42 and the ballast lumen factors were 0.952 and 0.951. The circuit power loss was 3.7 W per lamp and the overall efficiency of the prototype circuit was 89%.

Maintenance Management for Risk Reduction of High Voltage Transformer

Electrical and Electronics Engineering

Power transformer is one of significant electrical equipments in power system. As it has high acquisition cost and failure consequences to the network, its proper maintenance task should be planned effectively. Nowadays, risk-based maintenance of power transformer in substation has played a critical role increasingly. The maintenance management is recommended by combining two evaluations: transformer condition and transformer importance. The condition evaluation is performed by electrical and insulating oil testing with their associated limitation to classify into good, suspect and poor condition. The importance evaluation is performed by load criticality, system stability, failure possibility, and failure consequence with three levels of low, moderate and high impacts. Score and weighting techniques are utilized in the analysis. The risk matrix is then developed by these two evaluations with nine zones of recommended maintenance actions for the power transformers in order to reduce the risk. A number of power transformers installed in 115 kV and 230 kV transmission systems are selected for the risk evaluation due to available and qualified data. The sample power transformer with rating of 230 kV, 200 MVA is presented as an example with its test results. Finally, the proposed method can be applied with the fleet of power transformers and other high voltage equipments in the network.

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