• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.3
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• pp.99-106
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• 2019

Technology that cannot be excluded from 4th industry is self-driving sector. The self-driving sector can be seen as a key set of technologies in the fourth industry, especially in the DB sector is getting more and more popular as a business. The DB, which was previously produced and managed in two dimensions, is now evolving into three dimensions. Among the data obtained by Mobile Mapping System () to produce the HD MAP necessary for self-driving, Point Cloud, which is LiDAR data, is used as a DB because it contains accurate location information. However, at present, it is not widely used as a base data for 3D modeling in addition to HD MAP production. In this study, MMS Point Cloud was used to extract facilities around the road and to overlay the location to expand the usability of Point Cloud. Building utility poles and communication poles DB from Point Cloud and comparing road name address base and location, it is believed that the accuracy of the location of the facility DB extracted from Point Cloud is also higher than the basic road name address of the road, It is necessary to study the expansion of the facility field sufficiently.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.202-204
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• 2023

제 4차 산업혁명의 도래로 해양 분야에서도 해양산업혁명의 대표 분야인 자율운항선박에 대한 연구개발이 활발히 진행 중이다. 자율운항선박의 원활한 운용을 위해서는 정확한 위치, 항법, 시각 정보가 필수적이다. 현재 해양에서 사용되는 대표적인 항법시스템은 GPS(Global Positioning System)이지만 전파교란, 해킹 등의 취약성이 존재한다. 현재 GPS의 취약점을 보완하기 위한 다양한 항법시스템이 연구되고 있으며, 그 중 다양한 지상파 신호를 동시에 활용하는 지상파 통합항법시스템 R-MODE(Ranging mode)가 있다. 본 논문은 지상파 통합항법시스템 R-Mode 기술 중 지상파 VDES 신호를 활용한 VDES R-Mode에 대한 연구현황 및 향후 계획에 대해 기술하였다.

• Journal of Sensor Science and Technology
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• v.28 no.3
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• pp.157-163
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• 2019

The LiDAR sensor, which is widely regarded as one of the most important sensors, has recently undergone active commercialization owing to the significant growth in the production of ADAS and autonomous vehicle components. The LiDAR sensor technology involves radiating a laser beam at a particular angle and acquiring a three-dimensional image by measuring the lapsed time of the laser beam that has returned after being reflected. The LiDAR sensor has been incorporated and utilized in various devices such as drones and robots. This study focuses on object detection and recognition by employing sensor fusion. Object detection and recognition can be executed as a single function by incorporating sensors capable of recognition, such as image sensors, optical sensors, and propagation sensors. However, a single sensor has limitations with respect to object detection and recognition, and such limitations can be overcome by employing multiple sensors. In this paper, the performance of an eight-channel scanning LiDAR was evaluated and an object detection algorithm based on it was implemented. Furthermore, object detection characteristics during daytime and nighttime in a real road environment were verified. Obtained experimental results corroborate that an excellent detection performance of 92.87% can be achieved.

• KLA journal
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• v.45 no.4 s.347
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• pp.22-28
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• 2004

'주5일근무제(이하 '주5일제')와 도서관'이 왜 지금 이 시점에 우리 도서관계의 이슈가 되고 있는가. 왜냐하면 지난해 9월 근로기준법이 개정되면서 이제까지는 자율적으로 실시해오던 주5일제가 앞으로는 반드시 지켜야 할 제도가 되었으며, 그 시행 시점이 바로 2004년 7월이기 때문이다. 7월이라면 이제 얼마 남지 않았는데 도서관계의 논의는 과연 어느 단계에 와 있는 것일까. 우리 "도서관문화" 편집팀은 이번 4월호에서 "주5일제와 도서관"을 두고 우리 도서관계 현장에서 지난 몇 년간 무엇을 고민해왔으며 또한 그 고민을 해결하기 위해 현재 어떤 대비책을 마련하고 있는지를 알아보고자 한다. 이번 시도가 도서관계의 주5일제 대비 방안 마련의 기초적인 자료가 될 수 있기를 희망한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.443-444
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• 2022

전통적인 선박 모니터링 방식은 단순 정보 조회나 매뉴얼에 의한 수동적인 모니터링이었다면, 자율운항 선박에서는 주요 기기의 모니터링 개념이 데이터 기반의 예측 모델링 적용이 필수적이다. 선박의 주요 기기 5종에 대한 CBM(Condition Based Monitoring) 정보와 PMS(Planed Maintenance System) 정보를 통합 GUI(Dashboard) 형태로 선육간 구성하여, 선박-육상간 최적의 상태 모니터링과 신제적인 예방 정비 활동이 가능하도록 서비스를 제공한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.4
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• pp.159-174
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• 2017

The purpose of this study was to examine whether the entrepreneurship education through team learning positively influences the effectiveness of team learning and the satisfaction of entrepreneurship curriculum. To do this, we analyzed the questionnaire data of 149 students who took the entrepreneurship course that was conducted by the team learning method focused on problem solving task among the entrepreneurship courses opened in the venture autonomous major. First, we examined the effect of team learning effectiveness and entrepreneurial education satisfaction on the effectiveness of the team learning by individual's intention for startup, diversity of team members, and supporting activities of assistants as independent variables. For this, hierarchical regression analysis was conducted to examine whether independent variables influenced the effectiveness of team learning, and whether the effectiveness of team learning mediates between these independent variables and entrepreneurial education satisfaction. The results of this study support the hypothesis that supporting activities of assistants will influence team learning effectiveness. However, the hypothesis that individual's intention for startup or team diversity influences team learning effectiveness was rejected. On the other hand, the results of the regression analysis show that individual's intention for startup has a significant effect on the satisfaction of entrepreneurship education. In addition, the effectiveness of team learning was found to be influential on the educational satisfaction, and it was verified that the effectiveness of team learning was mediating between the supporting activities of assistants and the satisfaction of entrepreneurship education. Especially, as a result of the hierarchical regression analysis, it was found that the significance of the supporting activities of assistants decreased remarkably. This suggests that the mediating path that affects the satisfaction of entrepreneurship education is very meaningful through the effectiveness of the team learning although the supporting activities of assistants are partially mediated. As a result of this study, it was found that the supporting activities of assistants are important in the team learning entrepreneurship education and it is also confirmed that the individual's intention for startup is also important. Especially, supporting activities of assistants were found to be an important factor affecting the satisfaction of entrepreneurship education through the effectiveness of team learning. Therefore, I think that it is essential to designing a practical education course that meets individual's intention for startup in the entrepreneurship education of university students and networking with the participation of internal and external experts or entrepreneurs. In addition, I think that it is necessary to think more thoughtfulness about the composition of team members in the team learning, and to provide more meticulous support to the effectiveness of the team learning.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.101-112
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• 2017

The purpose of this study is to find out what kind of experience and effect the learner - centered team - based learning (tbl)method has on pre - nursing learner's nursing English course. Participants were 12 preliminary nursing learner, it was analyzed through learning result recording, study observation, learning satisfaction, learner's report, peer evaluation. And described the meaning of the learning experience, individual and team scores were analyzed using frequency analysis, paired-t test. The results showed that the score of each team was higher than the score of individual in both. The tbl experience has been a form of intimacy with colleagues, a motivation for learning, self-study, easy to learn the medical terminology felt through repeated learning, to improve their score by having them secondary group test and they remembered it as a pleasant learning time.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.418-428
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• 2013

This study investigated whether adolescents' perception s of coaching behavior and social behaviors differ by gender and sport career, and examined the relationships among these variables. Subjects were 740 high school athletes (516 males, 224 females). Data were analyzed using descriptive statistics, correlation, and 2(gender)${\times}3$(sport career) MANOVA. Results of MANOVA indicated that the interaction between gender and sport career significantly influenced to the level of prosocial behaviors on opponents. Male athletes perceived their coaches' behaviors more controlled and showed higher antisocial behaviors to opponents than female athletes. Athletes with low sport career reported higher antisocial behaviors on opponents than those with high careers. Autonomy-supportive coaching behaviors were positively associated with prosocial behaviors, but negatively related with antisocial behaviors. Controlled coaching behaviors were positively associated with antisocial behaviors.

• Applied Chemistry for Engineering
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• v.35 no.4
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• pp.284-295
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• 2024

Chemical agents are classified according to their mechanism of toxicity into categories such as nerve agents, choking agents, blood agents, blister agents, etc. Among them, nerve agents cause toxic symptoms by binding with acetylcholinesterase (AChE) in the body, which breaks down neurotransmitters, thus disrupting the autonomic nervous system. In severe cases, this can lead to death, making it a critical chemical agent. Therefore, once it has penetrated into the human body, it is important to detoxify it swiftly. Antidotes used for detoxification include chemical medicines such as pretreatment agents, post-treatment agents, anticonvulsants, and bioscavengers. This review will address the uses, forms, components, and principles of detoxification of nerve agent antidotes and the association with bioscavengers.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.47-69
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• 2021

Data scientists are new knowledge workers representing the knowledge economy era. Knowledge workers perform unstandardized works that solve ambiguity-intensive problems. Therefore, self-leadership, which emphasizes self-motivated, autonomous judgment and execution, significantly influences their work-related outcomes. Even knowledge workers have high occupational commitment, they usually show low organizational commitment. Knowledge workers' intention to leave is also relatively high due to this reason. This study focused on data scientists' self-leadership, predicted that self-leadership would increase an organization's commitment and intention to leave. Based on the trait activation theory(TAT), the author also confirmed how perceived job autonomy enhances self-leadership influences. Results showed that data scientists' self-leadership significantly lowered intention to leave through organizational commitment and this mediating effect was moderated by perceived job autonomy. This study broadened the theoretical understanding the effects of knowledge workers' self-leadership and presented practical implications for managing data scientists.