• Journal of Practical Engineering Education
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• v.6 no.1
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• pp.37-42
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• 2014

The automated visual inspection system (machine vision system) for quality assurance is important factory automation equipment in the manufacturing industries, such as display, semiconductor, etc. There is a lot of demand for the machine vision engineers. However, there are no technical training courses for machine vision technologies in vocational schools, colleges and universities. In this paper, we present the implementation of line scan camera based equipment for technical training of the automated visual inspection system. The training system consists of the X-Y stage which is widely used in machine vision industries and its variable image resolution are set to $10-30{\mu}m$. Additionally, this training system can attach the industrial illumination, either the direct illuminator or coaxial illuminator, for verifying the effect of illuminations. This means that the trainee can have a practical training in various equipment conditions and the training system is similar to the automated visual inspection system in industries.

• Journal of Engineering Education Research
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• v.23 no.3
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• pp.66-75
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• 2020

The purpose of this study is to norm the engineering design competency test. To achieve the purpose of the study, a survey was conducted on engineering college students nationwide using engineering design competency test developed in the precedent study, and a total of 2,859 questionnaires were analyzed. The main results are as follows. First, the national average of engineering design competency scores was 158 out of 240 points. Second, there was no significant difference between genders in engineering design competency by background variables. On the other hand, there was a significant difference by major. It was found that mechanical and construction majors have higher engineering design competency than IT and chemical/material engineering majors. Also, the scores of engineering design competency increased as the grade went up. Third, the number of courses related to engineering design did not affect by engineering design competency, but the actual number of times of experience in engineering design was affected by engineering design competency.

• Journal of Engineering Education Research
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• v.24 no.1
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• pp.53-61
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• 2021

Critical thinking ability based on a sound sense of logic is essential for analyzing a given engineering design problem and assessing it to arrive at the most plausible conclusion. Engineering design classes require students to organize their engineering design experiences through reports, and engineering design reports require detailed specifications of their tasks at each stage. Given the nature of these curriculums, design classes provide writing courses focusing on science and engineering within specialized fields, but there still lies many obstacles for communication education that embraces both general education and major subjects. This study proposes a specified step-by-step writing model for engineering design reports that encompasses critical thinking for the objective of systemizing design experiences from engineering design report writing. For the purpose of the study, the concepts and relationship between critical thinking and creative problem solving have been examined, followed by a proposal of application methods for critical thinking criteria and elements from a case example on engineering design. Furthermore, the study proposes a critical thinking-based assessment rubric for logical decision making at each stage of engineering design as well as a resulting model for engineering design report writing.

• Journal of Engineering Education Research
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• v.17 no.3
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• pp.22-33
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• 2014

This paper presents a comparative study on the effectiveness of teaching an engineering course using English with Specific Purpose(ESP). A study was performed using student groups; one class using ESP, and one class conducted in English with an English text. The course conducted using ESP showed the greatest improvement in English writing and conversation, and the students reported a greatly increased confidence in their ability to function professionally using English. A self-assessment of each student was conducted before and after the courses. Prior to the course less than 10% in each group felt that they are able to: a) understand a textbook, b) write an email, c) generate a project report, or d) follow a lecture given in English. The survey at the end of the course showed that the ESP teaching style resulted in significant improvements in students ability and confidence with writing and speaking in English, whereas reading skills were similar for both groups. This is due to the ESP method, in which students are required to give presentations and keep journals in English. After a brief review of the ESP principles and a discussion of how they were implemented, the background data of the participants(students) are described. Finally, the end-of-semester survey highlights the efficacy of the ESP approach.

• Journal of Engineering Education Research
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• v.15 no.5
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• pp.108-118
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• 2012

The purpose of this study was to provide analytic rubrics for measuring teamwork(PO6), communication and presentation skills(PO7), and life-long learning(PO8) based on theoretical concepts of performance assessment and rubrics. Also, this study analyzed data about performance assessment and rubics from courses offered through college of engineering. Participants were 34 senior engineering students who took the course 'Technical writing and presentation'. In the second week of the course, students were given the pre-test instrument which was developed for measuring students' understanding of program outcomes for this study. After performing project activities using rubrics, students were encouraged to complete the post-test instrument and the reaction questionnaire during the ninth week. The data were analyzed by using SPSS 14.0 and Microsoft Excel. The research findings are as follows. First, to promote and evaluate program learning outcomes appropriately, performance assessment-based on rubircs should be implemented. Second, in the reaction questionnaire about the rubircs, students answered that using rubircs for performing the project was very useful for understanding the performance procedures and assessment criteria. Third, the mean of understanding of program outcomes of students in post-test was significantly increased than in the pre-test(p<.0001). From the findings, performance assessment and rubrics should be used as evaluation tools at course levels in terms of promoting program learning outcomes for engineering education.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.56-63
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• 2017

Programming is very important subject in computer science and similar computer-related areas such as electronics engineering, etc. Programming is also important for information education for elementary, middle, and high school students since programming is one of the most basic subjects in computer science courses and other similar areas. In current information and knowledge society, raising programming ability is a key factor for everyone's competitiveness. With highly-competitive programming ability, one can enjoy his or her daily life abundantly. He or she also can get a highly-paid job, and make money using his or her programming ability. In this paper, a programming ability assessment tool is developed and introduced for the no-programming experienced. It is very difficult to test programming ability for the no-programming experienced with non-programming tools or activities. In this paper, a programming ability assessment tool is developed based on logical thinking ability. Especially the proposed tool consists of 15 questions for test one's logical thinking ability. The tool does not require any computer science or programming background. The proposed tool will be helpful as criteria for entrance examination or job screening examination for programming-related areas or subjects.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.285-291
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• 2022

The number of people enrolling in universities is rising due to the simplicity of applying and the benefit of earning a bachelor's degree. However, the on-time graduation rate has declined since plenty of students fail to complete their courses and take longer to get their diplomas. Even though there are various reasons leading to the aforementioned problem, it is crucial to emphasize the cause originating from the management and care of learners. In fact, understanding students' difficult situations and offering timely Number of Test data and advice would help prevent college dropouts or graduate delays. In this study, we present a machine learning-based method for early detection at-risk students, using data obtained from graduates of the Faculty of Information Technology, Dainam University, Vietnam. We experiment with several fundamental machine learning methods before implementing the parameter optimization techniques. In comparison to the other strategies, Random Forest and Grid Search (RF&GS) and Random Forest and Random Search (RF&RS) provided more accurate predictions for identifying at-risk students.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.283-288
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• 2024

In this paper, a novel mechanism for overcoming obstacles is studied by designing an All-Directional RC car for obstacle traversal and creating test courses with various obstacles. We propose an algorithm for controlling the RDS3115 servo motor and utilize a gyro sensor to detect the incline of various obstacle terrains, adjusting the servo motor's angle to enable the RC car to navigate the terrain. Through terrain experiments in the test course, we determined the most suitable RC car turning angles for traversing all obstacle terrains created in the experimental terrain.

• Journal of Practical Engineering Education
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• v.9 no.1
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• pp.49-56
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• 2017

Recently, due to Industry 4.0, there is a great interest in smart factory for productivity improvement and customer satisfaction in manufacturing industry, and construction is also actively pursued by government support. In particular, data integration and fieldbus communication technology to build an efficient production system are essential. Fieldbus is an open control system that is not tied to a specific vendor system and has various advantages such as compatibility with other products, accuracy of data transmission, and remote diagnosis. However, there are no educational equipment for training field buses, training courses and examples for practical training, and there are many limitations in improving the practical skills needed for building smart factories in the industrial field. Therefore, this study develops PLC based fieldbus education equipment and training course based on previous research results that selected PLC and communication technology suitable for domestic industry field for practical fieldbus training and develops the training program of Ethernet IP, Profibus DP, Modbus, CC-Link, and DeviceNet. In addition, it is confirmed that the control and remote diagnosis of distributed field devices are possible by data collection and monitoring.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.136-144
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• 2021

This study focuses on the necessity of MOT methods in companies, especially the utilization level. Based on the analysis structure of the previous study (2012), this study was conducted to compare the results with the previous results. We investigated the settlement level of MOT, the degree of necessity for MOT methods, the degree of actual use, and the Product Realization Process (PRP) for MOT-related researchers in electronic companies (n=184). It was confirmed that the higher the demand for MOT methods in the corporate field, the higher the utilization level (ratio). In particular, the need for and utilization of techniques such as Environmental Analysis, Business Opportunity Analysis, Project Feasibility Review, Roadmap, Risk Management was high. These methods were beneficial along with cost management and quality management techniques. The most challenging part of using MOT methods was the lack of systematic use, the absence of experts, and the difficulty in selecting suitable techniques. The necessity of opening subjects such as Creative Thinking, Communication, Teamwork, and Professional Ethics was high among the PRP subjects. Furthermore, the necessity of opening courses in Cost and Safety Design and Applied Statistics was higher than in the previous study.