• 제목/요약/키워드: Security Framework

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Review of Qualitative Approaches for the Construction Industry: Designing a Risk Management Toolbox

  • Zalk, David M.;Spee, Ton;Gillen, Matt;Lentz, Thomas J.;Garrod, Andrew;Evans, Paul;Swuste, Paul
    • Safety and Health at Work
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    • 제2권2호
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    • pp.105-121
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    • 2011
  • Objectives: This paper presents the framework and protocol design for a construction industry risk management toolbox. The construction industry needs a comprehensive, systematic approach to assess and control occupational risks. These risks span several professional health and safety disciplines, emphasized by multiple international occupational research agenda projects including: falls, electrocution, noise, silica, welding fumes, and musculoskeletal disorders. Yet, the International Social Security Association says, "whereas progress has been made in safety and health, the construction industry is still a high risk sector." Methods: Small- and medium-sized enterprises (SMEs) employ about 80% of the world's construction workers. In recent years a strategy for qualitative occupational risk management, known as Control Banding (CB) has gained international attention as a simplified approach for reducing work-related risks. CB groups hazards into stratified risk 'bands', identifying commensurate controls to reduce the level of risk and promote worker health and safety. We review these qualitative solutions-based approaches and identify strengths and weaknesses toward designing a simplified CB 'toolbox' approach for use by SMEs in construction trades. Results: This toolbox design proposal includes international input on multidisciplinary approaches for performing a qualitative risk assessment determining a risk 'band' for a given project. Risk bands are used to identify the appropriate level of training to oversee construction work, leading to commensurate and appropriate control methods to perform the work safely. Conclusion: The Construction Toolbox presents a review-generated format to harness multiple solutions-based national programs and publications for controlling construction-related risks with simplified approaches across the occupational safety, health and hygiene professions.

장애인복지 관련 법제의 발전방향 (The Proposal for Improvement of Legal System for the Persons with Disabilities)

  • 우주형
    • 법제연구
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    • 제41호
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    • pp.125-170
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    • 2011
  • 우리나라 장애인복지의 발전과정은 대체로 4기로 구분할 수 있다. 제1기는 1981년 이전으로 장애인을 한낱 자선의 대상으로만 보았던 시절이고, 제2기(1981~1988)는 "장애인복지법"제정으로 장애인복지 이념의 등장과 태동시기에 해당하며, 제3기(1989~2006)는 장애인복지제도의 틀을 정비하고 복지서비스 확대를 도모하던 시기라고 할 것이며, 제4기(2007~현재)는 장애인차별금지법 제정 등으로 장애인 인권 및 복지 보장의 확대전환기라 할 수 있다. 특히 우리나라에 있어서 장애인복지 관련 법제는 2007년이 새로운 역사적 이정표를 세운 해라고 할 것이다. 이 해에 장애인계의 오랜 숙원이었던 "장애인차별금지 및 권리구제 등에 관한 법률"이 제정되었고, 기존의 "특수교육진흥법"이 폐지되면서 새로운 "장애인 등에 대한 특수교육법"으로 대체 입법 제정되었으며, "장애인복지법"이 장애인복지 패러다임 변화를 수용하는 내용으로 전부개정되는 등 법제도상의 괄목할만한 성과를 이룩하였던 것이다. 여기서는 우리나라 현대사에 있어서의 장애인복지 수준을 가늠할 수 있는 관련 법제도의 입법화과정과 현행 법제의 체계를 살펴보고, 현행 법제의 주요내용과 개선과제를 논함으로써 향후 우리나라 장애인복지 관련 법제의 발전방향을 제시해보고자 한다.

Occupational Health Protection for Health Workers in China With Lessons Learned From the UK: Qualitative Interview and Policy Analysis

  • Xu, Huan;Zhang, Min;Hudson, Alan
    • Safety and Health at Work
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    • 제12권3호
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    • pp.304-310
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    • 2021
  • Background: Healthcare settings have been recognized among the most hazardous places to work. Based on the five categories of occupational hazards that were identified by the ILO and WHO, this study aimed to analyze policy framework relevant to occupational health protection of health workers (HWs) in public health service in China, then discussed how to share the experience of the National Health Service (NHS) England for improvement. Methods: Based on policy learning theories, policy analysis and qualitative interview were used in this study. Results: In the Chinese public health service, at least five laws related to the regulation of occupational health protection for HWs; however, enforcement of relevant laws was separated and multi-centered; the national monitoring system, which targeted to occupational hazards and health outcome for HWs in China, had yet to be developed; the top three priorities were workplace violence, bloodborne pathogens, and musculoskeletal disorders; national strategies included Security Hospital, and Healthy China 2030. In NHS England, three laws were fundamental; several monitoring systems had been set up, including NHS Staff Survey, Commissioning for Quality and Innovation incentive scheme; mental health, musculoskeletal problem, and nutrition disorder and overweight were raised great concern; Health and Safety, and NHS Healthy Workforce Program were critical nationwide strategies. Conclusion: There were several similarities as well as differences between the Chinese public health system and NHS England, which laid foundation of learning by China. Recommendations of improving occupational health policies in China were provided, based on the lessons learned from the NHS England.

Convolutional Neural Network with Expert Knowledge for Hyperspectral Remote Sensing Imagery Classification

  • Wu, Chunming;Wang, Meng;Gao, Lang;Song, Weijing;Tian, Tian;Choo, Kim-Kwang Raymond
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권8호
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    • pp.3917-3941
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    • 2019
  • The recent interest in artificial intelligence and machine learning has partly contributed to an interest in the use of such approaches for hyperspectral remote sensing (HRS) imagery classification, as evidenced by the increasing number of deep framework with deep convolutional neural networks (CNN) structures proposed in the literature. In these approaches, the assumption of obtaining high quality deep features by using CNN is not always easy and efficient because of the complex data distribution and the limited sample size. In this paper, conventional handcrafted learning-based multi features based on expert knowledge are introduced as the input of a special designed CNN to improve the pixel description and classification performance of HRS imagery. The introduction of these handcrafted features can reduce the complexity of the original HRS data and reduce the sample requirements by eliminating redundant information and improving the starting point of deep feature training. It also provides some concise and effective features that are not readily available from direct training with CNN. Evaluations using three public HRS datasets demonstrate the utility of our proposed method in HRS classification.

Two person Interaction Recognition Based on Effective Hybrid Learning

  • Ahmed, Minhaz Uddin;Kim, Yeong Hyeon;Kim, Jin Woo;Bashar, Md Rezaul;Rhee, Phill Kyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권2호
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    • pp.751-770
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    • 2019
  • Action recognition is an essential task in computer vision due to the variety of prospective applications, such as security surveillance, machine learning, and human-computer interaction. The availability of more video data than ever before and the lofty performance of deep convolutional neural networks also make it essential for action recognition in video. Unfortunately, limited crafted video features and the scarcity of benchmark datasets make it challenging to address the multi-person action recognition task in video data. In this work, we propose a deep convolutional neural network-based Effective Hybrid Learning (EHL) framework for two-person interaction classification in video data. Our approach exploits a pre-trained network model (the VGG16 from the University of Oxford Visual Geometry Group) and extends the Faster R-CNN (region-based convolutional neural network a state-of-the-art detector for image classification). We broaden a semi-supervised learning method combined with an active learning method to improve overall performance. Numerous types of two-person interactions exist in the real world, which makes this a challenging task. In our experiment, we consider a limited number of actions, such as hugging, fighting, linking arms, talking, and kidnapping in two environment such simple and complex. We show that our trained model with an active semi-supervised learning architecture gradually improves the performance. In a simple environment using an Intelligent Technology Laboratory (ITLab) dataset from Inha University, performance increased to 95.6% accuracy, and in a complex environment, performance reached 81% accuracy. Our method reduces data-labeling time, compared to supervised learning methods, for the ITLab dataset. We also conduct extensive experiment on Human Action Recognition benchmarks such as UT-Interaction dataset, HMDB51 dataset and obtain better performance than state-of-the-art approaches.

게이미피케이션을 활용한 초등학생 블록체인기술 핵심원리 교육 탐구 (BlockChain Technology Core Principle Education of Elementary School Student Using Gamification)

  • 김진수;박남제
    • 정보교육학회논문지
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    • 제23권2호
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    • pp.141-148
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    • 2019
  • 초등과정을 대상으로 수업의 내용을 게임과 관련지어 이어감으로서 학생의 흥미와 집중도를 끌어올릴 수 있는 게이미피케이션을 활용하여 블록체인의 원리를 학습할 수 있는 교육과정을 제안하였다. 제안된 방법은 블록체인을 게임 형식으로 교육하고, 일상생활에서 쉽게 접근할 수 있는 문제에 대해 블록체인을 적용한 해결법을 고민하게 함으로서 컴퓨팅 사고력을 강화하고, 2015년 개정 교육과정에서의 핵심역량인 지식정보처리역량, 의사 소통역량, 공동체역량을 성장시킴으로서 자연스럽게 학생 스스로 교육 역량을 강화시킬 수 있다. 제안된 게이미피케이션을 활용한 블록체인 교육과정은 정보교육 과정의 개선에 활용할 수 있을 것으로 기대된다.

국방 핵심기술의 성숙도(Readiness Level)평가를 활용한 국방기술가치평가 방안 연구 (A Study on the Evaluation Method of Defense Technology Valuation Using the Readability Level Assessment of Core National Defense Technology)

  • 이형석;신충진;강석중
    • 한국정보통신학회논문지
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    • 제23권12호
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    • pp.1710-1719
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    • 2019
  • 본 연구는 다양한 기술의 융합과 체계통합기술이 고도로 복잡하게 요구되는 국방기술을 이해하고, 분야별 특성이 반영된 가치평가방법을 제안하고자 한다. 가치평가 대상 무기체계의 기술 수준의 척도, 기술 간의 통합(체계통합기술)척도, 제조준비 및 성숙도 척도를 측정요소별 항목에 맞추어 측정하여 시스템성숙도를 확인하고, 시스템의 성숙도를 활용한 핵심기술의 계량적인 가치예측모형의 틀을 제시하고자 한다. 국방기술의 가치를 기술분야별 특성을 고려하여 이에 맞는 가치평가방법을 제안하는 연구이다. 각 분야의 역량있는 기술전문가들에 의해 분야별 기술적인 특성이 반영된 평가 기준에 따라 평가되고, 전체 시스템의 완성도를 정량적인 수치로 표현할 수 있는 시스템성숙도(SRL)를 활용하여 국방기술가치를 평가하는 방안을 제안한다.

포스트 코로나시대 미중 패권경쟁과 회색지대갈등: 한국 해군·해경의 대응전략 (US-China Hegemony Competition and Gray-Zone Conflict in the Post-Coronavirus Era: Response strategies of the Korean Navy and Coast Guard)

  • 이신화;표광민
    • 해양안보
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    • 제1권1호
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    • pp.149-173
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    • 2020
  • COVID-19 위기로 인해 미국을 비롯한 서구 세력들이 혼란에 빠져 있는 상황에서도, 중국은 회색지대 전략으로 공세적인 해양팽창을 계속하고 있다. 중국이 남중국해를 중심으로 사용하고 있는 회색 지대 전략이란 전쟁도, 평화도 아닌 불분명한 상태를 창출함으로써 국제정치의 현상변경을 추진하는 전략을 말한다. 동아시아 전역으로 영향력을 확대하려 하는 중국은 앞으로 한반도에도 회색지대 전략을 투사하려 할 것이다. 한국이 남중국해 분쟁에 우발적으로 연루되는 경우, 서해에서 중국어선의 불법조업으로 부터 양국의 군사적 갈등이 초래되는 경우, 중국이 이어도에 충돌을 일으키고 개입하려는 경우, 가능성은 낮으나 독도문제를 이용해 한일갈등을 일으켜 한중 결속을 시도하는 경우들이 예상된다. 이에 대처하기 위해 한국은 장기적인 관점에서 아시아 해양안전 선단 창설 및 국가함대라는 틀을 통한 해군과 해경의 통합운용 활성화, 중국의 도발에 대한 대응체계 강화 등을 추구해야 할 것이다.

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Improving the Decision-Making Process in the Higher Learning Institutions via Electronic Records Management System Adoption

  • Mukred, Muaadh;Yusof, Zawiyah M.;Mokhtar, Umi Asma';Sadiq, Ali Safaa;Hawash, Burkan;Ahmed, Waleed Abdulkafi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권1호
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    • pp.90-113
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    • 2021
  • Electronic Records Management System (ERMS) is a computer program or set of applications that is utilized for keeping up to date records along with their storage. ERMS has been extensively utilized for enhancing the performance of academic institutions. The system assists in the planning and decision-making processes, which in turn enhances the competencies. However, although ERMS is significant in supporting the process of decision-making, the majority of organizations have failed to take an initiative to implement it, taking into account that are some implementing it without an appropriate framework, and thus resulted in the practice which does not meet the accepted standard. Therefore, this study identifies the factors influencing the adoption of ERMS among employees of HLI in Yemen and the role of such adoption in the decision-making process, using the Unified Theory of Acceptance and Use of Technology (UTAUT) along with Technology, Organization and Environment (TOE) as the underpinning theories. The study conducts a cross-sectional survey with a questionnaire as the technique for data collection, distributed to 364 participants in various Yemeni public Higher Learning Institutions (HLI). Using AMOS as a statistical method, the findings revealed there are significant and positive relationships between technology factors (effort expectancy, performance expectancy, IT infrastructure and security), organizational factors (top management support, financial support, training, and policy),environmental factors (competitiveness pressure, facilitating conditions and trust) and behavioral intention to adopt ERMS, which in return has a significant relationship with the process of decision-making in HLI. The study also presents a variety of theoretical and empirical contributions that enrich the body of knowledge in the field of technology adoption and the electronic record's domain.

국내외 데이터법·정책 분석 및 시사점: 미국, 영국, EU의 사례를 중심으로 (Analysis of the Global Data Law & Policy and its Implications: Focusing on the cases of the United States, the United Kingdom, and the European Union)

  • 윤상필;권헌영
    • 정보화정책
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    • 제28권2호
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    • pp.98-113
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    • 2021
  • 본 연구는 우리나라와 미국, 영국, EU의 국가 데이터전략, 데이터 정책과 제도 및 거버넌스를 비교함으로써 우리 환경에 맞는 시사점을 제안했다. 비교분석 결과 범정부 차원의 데이터 정책을 총괄할 수 있는 거버넌스, 데이터 윤리를 포함하는 데이터 정책을 고려할 수 있어야 할 것으로 보인다. 이에 본 연구는 데이터 정책의 총괄 거버넌스 확립을 위해 국가 차원의 최고데이터책임자(CDO)를 요구하면서 대통령 소속 데이터특별위원회를 두거나 대통령 비서실 내에 가칭 '국가디지털혁신실'을 설치하는 방안을 제시했다. 또한 민간 부문의 데이터도 규율할 수 있는 데이터산업기본법의 제정, 데이터 중심 보안과 정보보호 체계, 설명가능성과 책임 등 신뢰 확보를 위해 요구되는 공공부문의 데이터 전문역량과 전문가 윤리 관념 기반의 공직윤리 및 인사, 교육훈련 제도와의 연계 등을 제안했다.