• Title/Summary/Keyword: Long-term Vision

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A Study of Sustainable Successful Management System Using ISO9004 Model (ISO9004 모델을 이용한 지속가능 성공경영시스템에 관한 연구)

  • Kim, Seok-Eun
    • Proceedings of the Safety Management and Science Conference
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    • 2012.04a
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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.

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Identifying success factors in inter-Korean cooperation projects: the World Vision "Seed Potato Project"

  • Kim, Jong-seon;Seong, Jieun
    • STI Policy Review
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    • v.2 no.3
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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.

Cambodian Construction Industry's Issues in the ASEAN Economic Community

  • MIN, Vuthea;Leungbootnak, Narong;Srinavin, Korb;Aksorn, Preenithi;Deewong, Watcharapong
    • Journal of Construction Engineering and Project Management
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    • v.6 no.1
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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.

Semantic crack-image identification framework for steel structures using atrous convolution-based Deeplabv3+ Network

  • Ta, Quoc-Bao;Dang, Ngoc-Loi;Kim, Yoon-Chul;Kam, Hyeon-Dong;Kim, Jeong-Tae
    • Smart Structures and Systems
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    • v.30 no.1
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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.

Design of Screening Inspection in a Multi-Stage Manufacturing Systems (다공정 제조시스템에서의 전수검사에 관한 연구)

  • 박영현;이창호
    • Journal of Korean Society for Quality Management
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    • v.25 no.1
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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.

Development of Daycare Center for Senior Users as Community-Cohesive Facility (노인데이케어센터의 지역융합형 발전방향)

  • Han, Jeong-Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.3
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    • pp.1489-1495
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    • 2014
  • Facing aged society, long-term care insurance for senior citizen has been introduced in Korea since 2008 in order to take away care burden from family. Daycare Center is one of the institutions developed by the idea of social care. Noticing many problems around adult day services (ADS) such as low quality of services and lack of running sources, this paper would suggest the norm of day care center in terms of community cohesive facilities. In addition, to find out the future vision of ADS, interviews with 10 experts are also analyzed. The result is that new health care program would be community-friendly, tailor-made, communication-based and intergenerational one.

Human Activity Recognition with LSTM Using the Egocentric Coordinate System Key Points

  • Wesonga, Sheilla;Park, Jang-Sik
    • Journal of the Korean Society of Industry Convergence
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    • v.24 no.6_1
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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%.

A Novel Whale Optimized TGV-FCMS Segmentation with Modified LSTM Classification for Endometrium Cancer Prediction

  • T. Satya Kiranmai;P.V.Lakshmi
    • International Journal of Computer Science & Network Security
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    • v.23 no.5
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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%.

The Mid-long Range R&D Planning of Railway Technology and Policy Recommendations (철도기술 연구개발 중장기계획수립($2008{\sim}2012$)결과와 정책적 시사점)

  • Park, Man-Soo;Park, Su-Dong;Yu, Sung-Yun;Kim, Jong-Wook
    • Proceedings of the KSR Conference
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    • 2007.11a
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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.

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A Study on Korea Comics Industry Policy (한국의 만화산업 발전 정책에 관한 연구)

  • Kim, Byong-Soo;Yoon, Ki-Heon
    • Cartoon and Animation Studies
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    • s.12
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    • pp.1-12
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    • 2007
  • The long-term stagnation in the country involving missing it is starting from the late 1990s accumulated on the common vision. The government has, since 2002, cartoon comics industry nurture long-term industrial development of five-year plan, 346.7. During that period of unprecedented material support to the government's sweeping received. Upcoming in 2008 is the second long-term development plan will be effective. The temperature inside and outside the government, however, various tax and go to feel quite differently. The first plan is merely a period of enforced projects listed are only fit for Panathinaikos has endorsed this general trend, yirugo diagnosis. But fundamentally, the exact diagnosis is necessary for the long-term stagnation. Children's Learning Results cartoon wepmanhwawa not thrive households. Comics readers about the consumption pattern is changing. Therefore, long-term plan for the development of cartoon industry only a few government budget plan is not the government write 73 gala, companies and the private sector are coming together to plan and worry that the plan should be a comprehensive and bevels. In addition, through the selection and concentration to increase efficiency. You will probably need to strengthen the capabilities of our private organizations, it is a priority. Furthermore, the government's financial and policy support for the lobbying power also lead to an increase in betting. It features a think tank to study the policy framework for the establishment and promotion assume the ultimate proposal includes a cartoon film cozy confines of the legislation that parallels activities in the various proposals.

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