• 제목/요약/키워드: Environment-awareness

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미용업 종사자의 작업환경과 보건·안전 의식 분석 (Aanalysis on the working environment and health·safety awareness of beauty workers)

  • 주명원;김성남
    • 한국산학기술학회논문지
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    • 제16권3호
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    • pp.1725-1731
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    • 2015
  • 본 연구는 미용종사자들이 미용작업장 환경에서 접할 수 있는 건강 위해 요인와 미용작업장 내의 사고와 사건을 예방할 수 있는 위험성평가 실태를 분석하였다. 또한 종사자의 보건 안전 의식을 세부적으로 분류하였다. 분석 결과, 연구대상자의 약 60%가 피부계, 호흡계, 근육계의 건강 위해 요인에 노출되어 작업을 하고 있었으며, 미용작업장 내에서 위험성 평가가 필요하다고 인식하였으나, 이에 대한 실제 경험은 낮게 나타났다. 종사자의 근무 업종과 작업장 내의 위험성평가 실태에 따른 보건안전 의식에는 차이가 있었다. 본 연구를 통해 미용작업장에 오가는 불특정 다수인과 종사자를 위한 보건 안전표준화 관리를 활성화할 수 있는 기초 자료를 제공하고자 한다.

상황 인식을 이용한 사례기반 음악추천시스템 (A Case Based Music Recommendation System using Context-Awareness)

  • 이재식;이진천
    • 지능정보연구
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    • 제12권3호
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    • pp.111-126
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    • 2006
  • 상황 인식은 유비쿼터스 컴퓨팅 환경에서 중요한 핵심 기술 중 하나이다. 본 연구에서는 상황 인식 기술을 사례기반 음악추천시스템에 접목시켰다. 본 연구에서 제안하는 시스템은 음악청취의향 인식모듈과 음악추천 모듈로 구성된다. 음악청취의향 인식모듈은 사용자가 음악을 듣고 싶어 하는지 아닌지를 외부상황정보를 이용하여 추론한다. 사용자가 음악을 청취할 의향이 있다고 판단되면, 음악추천 모듈은 사용자와 유사한 성향을 보이는 다른 사용자들이 유사한 상황에서 주로 들었던 노래들을 사용자에게 추천한다. 제안 시스템과 전통적인 방식의 사례기반 음악추천시스템의 성능을 비교한 결과, 제안 시스템이 추천의 정확도에서 약 9% 포인트 높게 나타났다.

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기후변화대응정책에 대한 시민들의 인식 분석 - 대전광역시 산림부분 정책을 중심으로 - (Residents Awareness Analysis for Climate Change Policy - Focus on Forest Sector of Daejeon Metropolitan City -)

  • 오도교;김세빈;곽경호;노희경;고영웅
    • 농업과학연구
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    • 제37권1호
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    • pp.19-25
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    • 2010
  • The purpose of this study were to investigate the influence of residents awareness analysis for climate change policy. Nine items of residents' perceptions and opinions were designed from previous forest sector of Daejeon Metropolitan City. 241 questionnaires were obtained from interview survey in Hanbat arboretum in Daejeon. Forest sector were significant differences with socioeconomic variables of local residents. Providing detailed information on climate change and its impact on the local environment brings about greater awareness and better understanding of global warming amongst citizens which would eventually drive the people to give support to policy initiatives.

지능형 에이전트 기반의 3-Tirer 컨텍스트 인식 처리 서버/클라이언트 구조 (The Structure of 3-Tirer Context-awareness Processing Server/client based Intelligent Agents)

  • 윤효근;이상용
    • 한국지능시스템학회논문지
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    • 제15권4호
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    • pp.479-485
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    • 2005
  • 현재 컴퓨팅 기술은 유비쿼터스 컴퓨팅 환경에서 컨텍스트 인식을 위한 지능화된 시스템 구조를 요구하고 있다. 컨텍스트를 인식하기 위한 지능화된 시스템은 에이전트를 기반으로 하고 있으며, 사용자를 인식하기 위한 센서의 정보와 서비스를 지원하기 위한 프레임을 필요로 한다. 따라서 본 논문에서는 각 센서와 서비스들을 동적으로 연결하고, 각종 컨텍스트를 안정적으로 지원할 수 있는 3-Tier 컨텍스트 인식 처리 서버/클라이언트 구조를 제안한다. 제안하는 시스템의 구조는 사용자의 상황 정보를 인식하는 클라이언트 계층과 인식된 상황정보를 처리하기 위한 응용처리 에이전트 서버(APAS) 계층, 이 두 계층을 관리하기 위한 관리서버(Management Server)로 구성된다. 또한 이 구조에서는 정교한 서비스를 제공하기 위하여 사용자의 정보는 동적 프로파일로 구성되어 있다.

Convergence of Consumer Hygiene Awareness on Coffee Smell, Price, and Shops, Customer Satisfaction, and Repurchases

  • Kwon, Woo-Taek;Kim, Yeong-Seon;Kwon, Lee-Seung
    • 유통과학연구
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    • 제13권12호
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    • pp.23-31
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    • 2015
  • Purpose - The purpose of this study is to determine consumers' awareness of hygiene and the perceived risks in the service areas of coffee shops and diners, or simply coffee shops. Research design, data, and methodology - A literature review was conducted on related publications, essays, and periodicals to find correlations among the variables. We developed a research model and hypothesis, and conducted empirical research for statistical data analysis. Results - The results satisfied adequacy standards, with GFI=0.926, AGFI=0.901, RMR=0.020, NFI=0.941, X2=403.197, and p-value=0.120. The results also displayed satisfied adequacy standards for the moderating effects of shop types, with GFI=0.998 (≥0.9 desirable), AGFI=0.998 (≥0.9 desirable), RMR=0.004 (≤0.05 desirable), NFI=0.999 (≥0.9 desirable), X2=1.572, and p-value=0.814 (≥0.05 desirable). Conclusions - A higher consumer hygienic awareness results in a better brand image. Moreover, greater perceived risk results in a worse brand image. Perceived risk is a vital determinant of brand image and it deeply influences customers' decisions to visit. Therefore, perceived risk is a vital determinant of forming a brand image and must be incorporated when devising strategies.

임상실습 시 간호학생의 성희롱 인식 정도가 성희롱 대처유형에 미치는 영향 (Influence of Awareness of Sexual Harassment on Nursing Students' Coping Behavior during Clinical Practice)

  • 강경아
    • Journal of Korean Biological Nursing Science
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    • 제20권2호
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    • pp.76-83
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    • 2018
  • Purpose: The purpose of this study was to investigate the relationship between the awareness of sexual harassment and the coping behavior of recipients of sexual harassment. This study also assesses the factors that influence the coping behavior of nursing students during clinical practice. Methods: For this descriptive study, data were collected from November 15 to December 15, 2017. Participants included 221 nursing students recruited from nursing colleges located in three different areas. Results: 22% of the participants answered that they had experienced sexual harassment. Regarding the type of attacker, the majority of attacker was patient (83.7%). The sexual harassment awareness level was $4.22{\pm}0.40$, the degree of coping for those who experienced sexual harassment was $2.99{\pm}0.38$. Among the coping behaviors, mitigation ($3.48{\pm}0.39$) was the highest. The factors influencing the coping behavior of recipients of sexual harassment were sexual harassment awareness (${\beta}=0.24$, p=.016) and satisfaction with preventive education (${\beta}=0.45$, p<.001). Conclusion: In order to make a safe clinical practice environment, it is necessary to develop a practical sexual harassment prevention program, as well as a reporting and support system for the nursing students. Such a program will help students clearly recognize the sexual harassment situation and increase their abilities to cope with sexual harassment appropriately.

A Framework for Universal Cross Layer Networks

  • Khalid, Murad;Sankar, Ravi;Joo, Young-Hoon;Ra, In-Ho
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제8권4호
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    • pp.239-247
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    • 2008
  • In a resource-limited wireless communication environment, various approaches to meet the ever growing application requirements in an efficient and transparent manner, are being researched and developed. Amongst many approaches, cross layer technique is by far one of the significant contributions that has undoubtedly revolutionized the way conventional layered architecture is perceived. In this paper, we propose a Universal Cross Layer Framework based on vertical layer architecture. The primary contribution of this paper is the functional architecture of the vertical layer which is primarily responsible for cross layer interaction management and optimization. The second contribution is the use of optimization cycle that comprises awareness parameters collection, mapping, classification and the analysis phases. The third contribution of the paper is the decomposition of the parameters into local and global network perspective for opportunistic optimization. Finally, we have shown through simulations how parameters' variations can represent local and global views of the network and how we can set local and global thresholds to perform opportunistic optimization.

Location Tracking based on MS-Based/Assisted Location Trigger Model with Context-Awareness

  • Park, Sung-Suk;Lee, Yon-Sik
    • 한국컴퓨터정보학회논문지
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    • 제21권6호
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    • pp.63-69
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    • 2016
  • In this paper, we proposed the location tracking system based on MS-Based/Assisted(Mobile Station-Based and Assisted) location trigger service model with context-awareness for the intelligent location tracking of moving objects. It provides the proper resulting value that matches the context of users through the analysis about the situation of the user, physical environment, computing resource and the existing information on user input. In order to provide real-time data, we proposed the location tracking system which realizes the intelligent information such as the expecting arrival time and passing the specific area of the moving object by adopting the location trigger. So, it derives to minimize the costs of communication for the mobile object tracking applications. The proposed location tracking system based on context-awareness can be used for realtime monitoring, intelligent alarm/action, setting up of the optimized moving path, dynamic adjustment of strategies and policies. So it has the advantage to develop the application system which is aimed at optimization of the object tracking and movement.

미용업 종사자의 사고재해 경험 및 사용제품의 안전 인식도에 관한 연구 (Study on Experience of Industrial Accidents and Awareness Level for Beauty Product Safety of Beauty Industry Employee)

  • 최서연;허국강;박동현
    • 대한안전경영과학회지
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    • 제14권4호
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    • pp.59-70
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    • 2012
  • This study compared data regarding industrial accidents and awareness level for beauty product safety for four main parts of beauty industry such as hair-care, nail-care, skin-care, and make-up. Major risk factors in beauty industry are dust, musculoskeletal disorders, and organic solvent of beauty product in order of percentage. The specific types of industrial accidents in beauty industry are mainly associated with musculoskeletal system such as cuts, sprain, and varicose vein. They are mainly compensated by personal budget. The awareness levels of chemical and heavy metal containment for beauty product by beauty industry employee were 77.2% and 59.1% respectively. Most employee confirmed only important items of labelling requirement of beauty product. Also, most employee did not understand MSDS(Materila Safety Data) for chemicals used in beauty industry. Only 38.1% of beauty industry employee has had safety education while most employee (73.6%) realized that they needed safety education. Also, safety education supervised by KOSHA(Korea Occupational Safety and Health Agency) was the most preferred. This study would be good basis for safe and healthy working environment of beauty industry employee.

상황인식 이동성 예측 모델에서의 효율적인 포워딩 경로 산출 기법 (Efficient Forwarding Path Computing Method for Context-Awareness Mobility Prediction Model)

  • 정래진;오영준;이강환
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2014년도 추계학술대회
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    • pp.93-95
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    • 2014
  • 본 논문은 계층적 클러스터 구조에서, 상황인식 이동성 예측모델을 통해 예측된 이동성으로 효율적인 포워딩 경로를 산출하는 기법을 제안한다. 이동성으로 인하여 노드 간 연결이 쉽게 변화하는 환경에서 통신의 불안정성을 극복하기 위해, 제안하는 알고리즘은 상황인식 이동성 예측모델을 통해 얻은 클러스터의 예측된 속성정보를 활용한다. 예측정보를 통해 클러스터간의 연결성을 매트릭스의 형태로 정리하며, 마스킹 기법을 응용한 포워딩 경로 산출 기법을 통해 효율적인 경로를 도출한다. 모의실험 결과, 제안하는 알고리즘으로 클러스터의 이동성을 고려하여 노드 간의 연결이 오래 지속될 수 있는 포워딩 경로를 선택 후에 전송함으로써 지연시간이 줄어드는 결과가 기대된다.

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