• 한국전기전자재료학회논문지
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• 제34권6호
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• pp.454-460
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• 2021

In this work, we synthesized alloy-core InZnP quantum dots, which are more efficient than single-core InP quantum dots, using a solution process method. The effect of synthesis conditions of alloy core on optical properties was investigated. We also investigated the conditions that make up the gradient shell to minimize defects caused by lattice mismatch between the InZnP core and ZnS is 7.7%. The stable synthesis temperature of the InZnP alloy core was 200℃. Quantum dots consisting of three layered ZnSe gradient shell and single layered ZnS exhibited the best optical property. The properties of quantum dots synthesized in 100 ml and in 2,000 ml flasks were almost equal.

• 산업경영시스템학회지
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• 제42권2호
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• pp.94-103
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• 2019

Self Organizing Map (SOM) is a neural network that is effective in classifying patterns that form the feature map by extracting characteristics of the input data. In this study, we propose an algorithm to determine the cell formation and the machine layout within the cell for the cell formation problem with operation sequence using the SOM. In the proposed algorithm, the output layer of the SOM is a one-dimensional structure, and the SOM is applied to the parts and the machine in two steps. The initial cell is formed when the formed clusters is grouped largely by the utilization of the machine within the cell. At this stage, machine cell are formed. The next step is to create a flow matrix of the all machine that calculates the frequency of consecutive forward movement for the machine. The machine layout order in each machine cell is determined based on this flow matrix so that the machine operation sequence is most reflected. The final step is to optimize the overall machine and parts to increase machine layout efficiency. As a result, the final cell is formed and the machine layout within the cell is determined. The proposed algorithm was tested on well-known cell formation problems with operation sequence shown in previous papers. The proposed algorithm has better performance than the other algorithms.

• International journal of advanced smart convergence
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• 제10권2호
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• pp.21-30
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• 2021

With the rapid development of artificial intelligence and big data, a lot of medical data is effectively used, and the diagnosis and analysis of diseases has entered the era of intelligence. With the increasing public health awareness, ordinary citizens have also put forward new demands for panic disorder health services. Specifically, people hope to predict the risk of panic disorder as soon as possible and grasp their own condition without leaving home. Against this backdrop, the smart health industry comes into being. In the Internet age, a lot of panic disorder health data has been accumulated, such as diagnostic records, medical record information and electronic files. At the same time, various health monitoring devices emerge one after another, enabling the collection and storage of personal daily health information at any time. How to use the above data to provide people with convenient panic disorder self-assessment services and reduce the incidence of panic disorder in China has become an urgent problem to be solved. In order to solve this problem, this research applies the context awareness to the automatic diagnosis of human diseases. While helping patients find diseases early and get treatment timely, it can effectively assist doctors in making correct diagnosis of diseases and reduce the probability of misdiagnosis and missed diagnosis.

• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.54-60
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• 2021

AR (Augmented Reality) is a technology that provides virtual content to the real world and provides additional information to objects in real-time through 3D content. In the past, a high-performance device was required to experience AR, but it was possible to implement AR more easily by improving mobile performance and mounting various sensors such as ToF (Time-of-Flight). Also, the importance of mobile augmented reality is growing with the commercialization of high-speed wireless Internet such as 5G. Thus, this paper proposes a system that can provide AR services via GNN (Graph Neural Network) using cameras and sensors on mobile devices. ToF of mobile devices is used to capture depth maps. A 3D point cloud was created using RGB images to distinguish specific colors of objects. Point clouds created with RGB images and Depth Map perform downsampling for smooth communication between mobile and server. Point clouds sent to the server are used for 3D object detection. The detection process determines the class of objects and uses one point in the 3D bounding box as an anchor point. AR contents are provided through app and web through class and anchor of the detected object.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.81-96
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• 2022

Based on a survey conducted on 125 students in the Department of Computer Engineering at K University, the following results were obtained by analyzing ways to improve academic ability. Male students should pay more attention to grade points management than female students before completing their military service. Students with high self-assessed academic ability score higher than students with low self-assessed academic ability. As long as students don't spend too much time, a student's part-time job is not an obstacle to their study. Compared to Seoul, Gyeonggi, and Incheon regions, students from Gangwon and other regions should pay special attention to some pre-classes to understand regular university lectures. In undergraduate education, a student's major aptitude is not a big problem. In order to change major, students need counseling about their major's aptitude only at the beginning semester. In order to get good grades, the achievement of the will to study is more important than the will to study itself. Professors should encourage students to review what they have learned in class after class and always assure students sincerity in their studies through the counseling process.

• 산업경영시스템학회지
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• 제45권2호
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• pp.12-19
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• 2022

Artificial intelligence is driving the Fourth Industrial Revolution and is in the spotlight as a general-purpose technology. As the data collection from the battlefield increases rapidly, the need to us artificial intelligence is increasing in the military, but it is still in its early stages. In order to identify maritime targets, Republic of Korea navy acquires images by ISAR(Inverse Synthetic Aperture Radar) of maritime patrol aircraft, and humans make out them. The radar image is displayed by synthesizing signals reflected from the target after radiating radar waves. In addition, day/night and all-weather observations are possible. In this study, an artificial intelligence is used to identify maritime targets based on radar images. Data of radar images of 24 maritime targets in Republic of Korea and North Korea acquired by ISAR were pre-processed, and an artificial intelligence algorithm(ResNet-50) was applied. The accuracy of maritime targets identification showed about 99%. Out of the 81 warship types, 75 types took less than 5 seconds, and 6 types took 15 to 163 seconds.

• International Journal of Advanced Culture Technology
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• 제11권3호
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• pp.18-25
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• 2023

The COVID-19 pandemic has had a significant impact on the educational landscape for students across the globe, leading to a shift towards long-term online learning. This study aims to examine the changes in the health status of college and university students before and after the transition to online classes. We conducted a survey questionnaire among 200 students enrolled at K University in Gangwon-do, including participants from both the Department of Visual Optics and the Department of Physical Therapy. The survey employed a 5-point Likert scale to evaluate a range of health-related factors, including physical and mental well-being, alterations in lifestyle, and academic performance. Both male and female students experienced a decline in physical strength and exercise during the online class period, while mental health and overall happiness showed improvement, particularly among female students. Notable shifts in lifestyle emerged, including an increased usage of electronic devices and enhanced familial connections. The study also shed light on intriguing trends related to academic accomplishments and adherence to official quarantine guidelines. In sum, the findings of this study offer valuable foundational information for the maintenance of students' well-being during online learning, as well as the development of effective strategies for online education in future academic settings.

• 실천공학교육논문지
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• 제15권2호
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• pp.401-408
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• 2023

본 연구에서는 운동선수부 학생들을 위하여 진로탐구 프로그램을 개발하였다. 이에 운동선수부를 위한 진로탐구에 대하여 기존 연구를 분석하고 요구사항을 파악하며, 학습 계획을 설계하였다. 이를 토대로 단계별로 교육 프로그램을 개발하였다. 또한 기존연구에서 운동선수부 학생을 위한 진로탐구에 대한 연구가 활발하지 않았으므로 학교 현장에서 연구되었던 기존의 진로탐구 연구를 참고하여 '문제 정의' - '데이터 수집' - '데이터 전처리' - '데이터 분석' - '데이터 시각화' - '모의 분석'의 단계로 구분하여 연구를 진행하였다. 본 연구를 통하여 운동선수부 학생을 위한 진로탐구에 대한 연구가 더욱 활발해질 것으로 기대한다.

• 실천공학교육논문지
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• 제16권3_spc호
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• pp.267-274
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• 2024

One challenge with teaching practical programming classes is the standardization of development tools on student computers. This is particularly true when a complicated setup process is required before beginning to code, or in remote classes, such as those necessitated by the COVID-19 pandemic, where the instructor cannot provide individual troubleshooting assistance. In such cases, students who encounter problems during the setup process may give up on the class altogether before even beginning to code. Therefore, this paper recommends using GitHub Codespaces as a tool for implementing standardized student development environments from day one. Codespaces provides Docker containers that an instructor can configure in such a way as to enable students to practice installing various coding tools within a controlled space, while also providing a language-specific, fully optimized development environment. In addition, Codespaces may be used more effectively in collaboration with GitHub Classroom, which helps instructors manage both the starter code and coding environment in which students work. In this paper, we compare two semesters of university Node.JS programming classes that utilized different development environments: one localized on student computers, the other containerized in Codespaces online. Then, we discuss how GitHub Codespaces and GitHub Classroom can be used to increase the effectiveness of practical programming classes while also increasing student engagement and programming confidence in class.

• 공학교육연구
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• 제27권1호
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• pp.13-31
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• 2024

In recent times, STEM graduates are confronting a decline in employment rates influenced by economic, social, cultural, and policy-related factors. Career decisions are closely linked to education, college experiences, and university settings. To comprehend the reasons behind the decline in STEM employment, it is essential to explore the relationships among these factors. This study aims to comprehensively examine differences in career motivation and career exploration behavior among 2,393 STEM undergraduates in Korea. Additionally, factors affecting career motivation and career exploration behavior were investigated. The findings indicate significant differences in perceived career motivation and career exploration behavior based on individual backgrounds and university characteristics. And analyzing the data, 37.8% of career motivation is explained by contextual supports, career barriers, individual backgrounds (grade, GPA), university characteristics (major fields, location), field to enter after graduation, and timing of job preparation. For career exploration behavior, 30.1% is explained by contextual supports, career barriers, individual backgrounds (gender, grade, GPA), university characteristics (major field, location), field to enter after graduation, and timing of job preparation. Practical implications underscore the need for tailored educational and policy support, considering individual backgrounds and university characteristics, to effectively address challenges faced by STEM graduates in the evolving employment landscape.