• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2012년 춘계학술대회
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• pp.139-155
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• 2012

A fundamental concepts of business environment changes and the importance of stakeholder's value creation is changing in the business. This study ISO9004: 2009 quality management system of Category 5: Strategy and Policy, Category 10: improvement, innovation and learning (Note) SBK target was to develop a model that is the company's sustained success. Three concepts of the new revision of ISO9004" in response to environmental changes," "learning", "innovation" (Note) SBK applied to the project settings and talent establish long-term vision was to establish the process as the organization's learning content was TDR for the creation of exceptional and innovative programs were introduced. As a result, (Note) SBK three years of continuous business performance indicator has grown dramatically to more than 50% continued success is going to create business models. But 100 years to accomplish the vision, ISO9004 model needs to extends the entire category as a management system to achieve the optimization needed.

• STI Policy Review
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• 제2권3호
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• pp.13-22
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• 2011

During the 1990s, North Korea suffered from severe economic hardships in the aftermath of the collapse of the Soviet bloc and massive floods; North Korea is still has not escaped this suffering. South Korea has pursued various inter-Korean cooperation projects to help North Korea open and develop its economy; however, there are limited successful cases for improvement in North Korea. It is imperative to define a long-term strategy through analysis of key success factors for inter-Korean cooperation in order to develop more successful cases of inter-Korean cooperation; however, limited studies have been conducted to analyze successful inter-Korean cooperation projects. This study selects the "Seed Potato Project" (implemented by the World Vision) as a successful case to be analyzed and identifies key success factors for inter-Korean cooperation. As illustrated in previous studies, the results of the analysis of success factors of a "Seed Potato Project" from a trust-building perspective has revealed that this project follows key success factors like openness, integrity, consistency, and benevolence. In the last section of this report, this study also presents important policy implications to develop future successful cases for inter-Korean cooperation.

• Journal of Construction Engineering and Project Management
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• 제6권1호
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• pp.1-10
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• 2016

Issues in the construction industry of Cambodia in ASEAN Economic Community (AEC) is the main priority to be identified before identifying causing factors in order to find out recommendations, to improve this sector, and to survive in this community. Two major issues were identified from the literature review and the investigation, namely i) Long-term vision and its policy, and ii) practice culture. The total sample collected from concerned government officers and engineers in Cambodia were 463. Factor analysis was then conducted to find out the issues, and as the results, there are five issues in two main groups: (i) the Organization's vision and its skill, which consist of a vision of the organization, knowledge and skill, and less investmen in the construction sector; (ii) Knowledge and motivation towards the AEC, which consist of knowledge about the AEC, and level to promote organization for the AEC.

• Smart Structures and Systems
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• 제30권1호
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• pp.17-34
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• 2022

For steel structures, fatigue cracks are critical damage induced by long-term cycle loading and distortion effects. Vision-based crack detection can be a solution to ensure structural integrity and performance by continuous monitoring and non-destructive assessment. A critical issue is to distinguish cracks from other features in captured images which possibly consist of complex backgrounds such as handwritings and marks, which were made to record crack patterns and lengths during periodic visual inspections. This study presents a parametric study on image-based crack identification for orthotropic steel bridge decks using captured images with complicated backgrounds. Firstly, a framework for vision-based crack segmentation using the atrous convolution-based Deeplapv3+ network (ACDN) is designed. Secondly, features on crack images are labeled to build three databanks by consideration of objects in the backgrounds. Thirdly, evaluation metrics computed from the trained ACDN models are utilized to evaluate the effects of obstacles on crack detection results. Finally, various training parameters, including image sizes, hyper-parameters, and the number of training images, are optimized for the ACDN model of crack detection. The result demonstrated that fatigue cracks could be identified by the trained ACDN models, and the accuracy of the crack-detection result was improved by optimizing the training parameters. It enables the applicability of the vision-based technique for early detecting tiny fatigue cracks in steel structures.

• 품질경영학회지
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• 제25권1호
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• pp.1-16
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• 1997

In this paper, we illustrate how to design screening inspections for minimizing a total quality costs in a multi-stage manufacturing systems. The total quality cost model consists of inspection costs, internal failure costs, external failure costs, and Taguchi's loss function. Although, the use of automatic test equipment such as machnie vision and CMM has greatly increased inspection speed and accuracy, screeing(100% inspection) could be considered only as a short-term method to remove nonconforming items from a population, not for a long-term quality improvement. However, screeing should be used for certain situations such as before costly operations and after unsatisfied operations. This paper ends with an example that demonstrates the usefulness of the model.

• 한국산학기술학회논문지
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• 제15권3호
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• pp.1489-1495
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• 2014

고령화시대를 맞아서 한국은 2008년부터 노인장기요양보험을 실시하면서 노인부양부담을 가족으로부터 국가의 책임으로 인식하기 시작하였다. 데이케어센터(주간보호센터)는 사회적 보살핌을 제공하는 시설 중의 하나로 입소생활시설과는 다른 주간이용시설인데 설립초기 자원부족 및 서비스 질 향상 등의 문제가 지적되어 왔다. 본 논문에서는 데이케어센터를 지역을 중심으로 접근하면서 그 발전방향을 논의하였다. 또한 전문가심층면접분석을 통해서 데이케어센터의 차후 비전을 제시하였다. 심층분석 결과로는 데이케어센터에서 제공하는 건강케어 프로그램은 지역사회의 문제 및 특성을 반영하여야 하고, 사용자 중심이어야 하며 지역통합적 방식을 취해야 함이 제시되었다.

• 한국산업융합학회 논문집
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• 제24권6_1호
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• pp.693-698
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• 2021

As technology advances, there is increasing need for research in different fields where this technology is applied. On of the most researched topic in computer vision is Human activity recognition (HAR), which has widely been implemented in various fields which include healthcare, video surveillance and education. We therefore present in this paper a human activity recognition system based on scale and rotation while employing the Kinect depth sensors to obtain the human skeleton joints. In contrast to previous approaches that use joint angles, in this paper we propose that each limb has an angle with the X, Y, Z axes which we employ as feature vectors. The use of the joint angles makes our system scale invariant. We further calculate the body relative direction in the egocentric coordinates in order to provide the rotation invariance. For the system parameters, we employ 8 limbs with their corresponding angles each having the X, Y, Z axes from the coordinate system as feature vectors. The extracted features are finally trained and tested with the Long short term memory (LSTM) Network which gives us an average accuracy of 98.3%.

• International Journal of Computer Science & Network Security
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• 제23권5호
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• pp.53-64
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• 2023

Early detection of endometrial carcinoma in uterus is essential for effective treatment. Endometrial carcinoma is the worst kind of endometrium cancer among the others since it is considerably more likely to affect the additional parts of the body if not detected and treated early. Non-invasive medical computer vision, also known as medical image processing, is becoming increasingly essential in the clinical diagnosis of various diseases. Such techniques provide a tool for automatic image processing, allowing for an accurate and timely assessment of the lesion. One of the most difficult aspects of developing an effective automatic categorization system is the absence of huge datasets. Using image processing and deep learning, this article presented an artificial endometrium cancer diagnosis system. The processes in this study include gathering a dermoscopy images from the database, preprocessing, segmentation using hybrid Fuzzy C-Means (FCM) and optimizing the weights using the Whale Optimization Algorithm (WOA). The characteristics of the damaged endometrium cells are retrieved using the feature extraction approach after the Magnetic Resonance pictures have been segmented. The collected characteristics are classified using a deep learning-based methodology called Long Short-Term Memory (LSTM) and Bi-directional LSTM classifiers. After using the publicly accessible data set, suggested classifiers obtain an accuracy of 97% and segmentation accuracy of 93%.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.1796-1816
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• 2007

Recently, started to apply a strategy of selection and concentration in the construction and transportation R&D for the effective utilization of limited R&D resources. The department of construction and transportation planned the construction and transportation R&D innovative road map by the future 10 years technical requirement under the first year on the innovation of the construction and transportation technology from last year. The innovative road map which is a strategic and long term master plan integrated a construction and transportation suggested a vision as value createar for a improvement of living quality in the future. And made a specific goal that is the seventh construction technology level and the fifth transportation technology level in the world. The department of construction and transportation is planning a mid- long range planing of the construction and transportation R&D as following measurement of innovative road map. KICTEP and KISTEP planned a mid- long range R&D planing of the transportation system, logistics, aviation, railway for the last year. Introducing a methodology used a mid- long range plan and main results of the future railway R&D plan. And suggesting a politic comments for the effectively propelling railway R&D projects.

• 만화애니메이션 연구
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• 통권12호
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• pp.1-12
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• 2007

우리나라 만화계가 장기침체에 빠져있다는 것은 1990년대 후반부터 누적되어 온 일반적인 시각이다. 이에 정부는 만화산업 육성책으로 2002년부터 만화산업 중장기 발전 5개년 계획을 수립, 집행해 왔다. 그 기간 동안 만화계는 전례 없이 정부의 대대적인 지원을 받은 바 있다. 다가올 2008년부터는 2차 중장기 발전계획이 시행될 예정이다. 그러나 만화계 안팎의 체온은 정부 주무부서와 사뭇 다르게 느껴진다. 1차 계획 시행기간동안 백화점식으로 나열된 사업이 단지 구색 맞추기에 급급했다는 진단이 대세를 이루고 있다. 그러나 근본적으로는 장기 침체에 대한 정확한 진단이 필요하다. 웹만화와 아동학습만화는 유래없는 호황을 구가하고 있다. 만화에 대한 독자의 소비 패턴이 바뀌고 있는 것이다. 따라서 만화산업 중장기 발전 계획은 단지 정부예산 몇 푼을 갈라 쓰는 방안이 아니라 정부, 기업, 민간이 함께 고민하고 플랜을 짜는 종합적이고 입체적인 계획이 되야한다. 또한 선택과 집중을 통해 효율을 높여야한다. 그러기 위해서는 민간단체의 역량을 강화하는 것이 우선이다. 나아가 정부의 금전적, 정책적 지원을 이끌어 내기 위한 로비력도 제고해야한다. 이를 위해 싱크탱크 기능을 담당할 진흥정책 연구 기구의 설립을 제안하며 궁극에는 영화진흥법에 비견되는 만화진흥법의 제정활동을 만화계에 제안한다.