• Journal of Korea Entertainment Industry Association
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• v.14 no.4
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• pp.57-65
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• 2020

The purpose of this study is to analyze the problem solving ability of occupational therapy students by applying PBL classes using social networks. Data were collected from 35 students in the third year of occupational therapy at K University from March to June 2019. The results were as follows: First, PBL application using social networks showed a significant improvement in problem solving ability. Seconds, there was a significant difference in problem solving ability according to the preference of mobile device use and major satisfaction. Therefore, as a learning tool for improving the problem-solving ability of occupational therapy students, we proposed a way to increase satisfaction with learning by activating PBL using social networks.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.182-192
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• 2017

Recently, there is an increasing interest in analysis of big data that is coming from manufacturing industry. In this paper, we use PCB (Printed Circuit Board) manufacturing data to provide manufacturers with information on areas with high PCB defect rates, and to visualize them to facilitate production and quality control. We use the K-means and DBSCAN clustering algorithms to derive the high fraction of PCB defects, and compare which of the two algorithms provides more accurate results. Finally, we develop a system of MVC structure to visualize the information about bad clusters obtained through clustering, and visualize the defected areas on actual PCB images.

• Journal of KIISE:Information Networking
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• v.35 no.6
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• pp.497-509
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• 2008

Various algorithms and architectures for efficient packet classification have been widely studied. Packet classification algorithms based on a decision tree structure such as HiCuts and HyperCuts are known to be the best by exploiting the geometrical representation of rules in a classifier. However, the algorithms are not practical since they involve complicated heuristics in selecting a dimension of cuts and determining the number of cuts at each node of the decision tree. Moreover, the cutting is not efficient enough since the cutting is based on regular interval which is not related to the actual range that each rule covers. In this paper, we proposed a new efficient packet classification algorithm using a range cutting. The proposed algorithm primarily finds out the ranges that each rule covers in 2-dimensional prefix plane and performs cutting according to the ranges. Hence, the proposed algorithm constructs a very efficient decision tree. The cutting applied to each node of the decision tree is optimal and deterministic not involving the complicated heuristics. Simulation results for rule sets generated using class-bench databases show that the proposed algorithm has better performance in average search speed and consumes up to 3-300 times less memory space compared with previous cutting algorithms.

• Therapeutic Science for Rehabilitation
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• v.10 no.1
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• pp.63-75
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• 2021

Objective : The purpose of this study was to examine the roles and practices of occupational therapists in public health centers based on their working experience of occupational therapists who are working in these facilities. Methods : We used Giorgi's descriptive phenomenological research method. Six occupational therapists were interviewed, and their recorded data were analyzed using Claizzi's thematic analysis. Results : As a result, 4 categories, 16 themes, and 24 elements were elicited. The major roles of occupational therapists in public health centers were the evaluation of clients, home-visit occupational therapy, management of dementia programs and community connection projects. Interventions that are needed to create a healthy community include case and program management, compensatory approaches, and healthy lifestyle interventions. The difficulties experienced by occupational therapists include their limited number job insecurity, performance-oriented administrative policy, and the lack of communication among professionals. Occupational therapists require education in health management and practice in public health centers to build their capacities. Conclusion : The results of this study could be used for guidelines for occupational therapists who work in community healthcare centers, as well as basic training for competent occupational therapists in the community.

• Korean Architects
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• no.5 s.218
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• pp.40-49
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• 1987

역사의 수레바퀴는 지금도 돌아가고 있다. 이제 그 상황에서도 우리는 이미 우리의 것이 된 근대건축믈을 보존토록 해야 할것이다. 무단히 철거되는 항일의 현장, 신교육의 장소들을 보며 우리는 아쉬움을 느낄 수 밖에 없다. 타의와 자의에 의한 훼손은 이 시간에도 계속되고 있다, "새것만 좋다"는 인식은 또 어떤 건물들을 헐어내 버릴지도 모른다. 이제 우리는 새로운 관심을 이 영역에 쏟아야 할 것이다. 이 연구는 그 작업을 위한 한 단계로 시도되는 것이다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2000.11a
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• pp.361-366
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• 2000

최근 광화학반응(photochemical reaction)을 이용해서 새로운 무기, 유기 및 고분자의 재료개발을 위한 연구가 매우 활발히 진행되고 있으며, 이중 광범위하게 환경친화적 조업으로 작업환경적인 독성영향을 최소화시킬 수 있는 연구영역이 필요한 것은 광중합반응을 이용한 소재개발이다.(중략)

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.347-352
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• 2012

In this paper, an 2D spatial-map construction for workers identification and avoidance of AGV using the detection scheme of the spatial coordinates based on stereo camera is proposed. In the proposed system, face area of a moving person is detected from a left image among the stereo image pairs by using the YCbCr color model and its center coordinates are computed by using the centroid method and then using these data, the stereo camera embedded on the mobile robot can be controlled for tracking the moving target in real-time. Moreover, using the disparity map obtained from the left and right images captured by the tracking-controlled stereo camera system and the perspective transformation between a 3-D scene and an image plane, depth map can be detected. From some experiments on AGV driving with 240 frames of the stereo images, it is analyzed that error ratio between the calculated and measured values of the worker's width is found to be very low value of 2.19% and 1.52% on average.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.61-67
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• 2018

This study covers the results obtained after three years of development work of real - time gas safety monitoring app. In order to reduce the risk of accidents in the gas workplace, it is essential to provide information so that operators can recognize the location of dangerous substances, dangerous facilities, safety procedures, and the temperature and humidity of the workplace. Therefore, this study was conducted to develop a monitoring app that allows the main system to efficiently receive the information in the field where the information is continuously updated. As a result of quantitative and qualitative research and analysis on app scenarios based on the research done in the past and web screen of the main system, it was modified and improved in terms of ease of use, readability, and intuitiveness. Especially, we made many improvements at low depth, which is a sub-area of ease of use. As a result of conducting a user satisfaction survey on the finally derived app scenarios, the average score of 98.5 was obtained in terms of functionality, convenience and readability.

• Korean Journal of Construction Engineering and Management
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• v.10 no.2
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• pp.145-154
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• 2009

For developing an Automation equipment in construction, it is a key issue to develop 3D modeling technology which can be used for automatically recognizing environmental objects. Recently, for the development of "Intelligent Excavating System(IES), a research developing the real-time 3D terrain modeling technology has been implemented from 2006 in Korea and a stereo vision system is selected as the optimum technology. However, as a result of performance tests implemented in various earth moving environment, the 3D images obtained by stereo vision included considerable noise. Therefore, in this study, for getting rid of the noise which is necessarily generated in stereo image matching, the noise elimination algorithm of stereo-vision images for 3D terrain modeling was developed. The consequence of this study is expected to be applicable in developing an automation equipments which are used in field environment.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.286-294
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• 2010

Complex Regional Pain Syndrome(CRPS) is a chronic neruopathic pain syndrome, most frequently encountered after trauma, nerve injury, fracture, cerebral vascular accident(CVA), spinal injury, and surgery to a limb, and affected by diverse factors such as disease process, intervention method, and other biopsychosocial components. Occupational therapy as a multidisciplinary treatment approach may be potentially useful when simultaneously targeting such biological, psychological, and social components. Biological treatment can focus on increasing functional use of extremity for promoting independence. Psychological intervention can include relaxation/biofeedback training and cognitive-behavioral treatments, and social approach can focus on recreational therapy and vocational rehabilitation. Occupational therapy will encourage functional restoration, pain management, and regaining of psychological components with collaboration between different disciplines.