• 제목/요약/키워드: lack of time

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실시간 컨텍스트 정보의 정량화 단계를 개선한 협력적 필터링 (Collaborative Filtering with Improved Quantification Process for Real-time Context Information)

  • 이세일;이상용
    • 한국지능시스템학회논문지
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    • 제17권4호
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    • pp.488-493
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    • 2007
  • 추천 시스템은 일반적으로 서비스를 추천하기 위해 협력적 필터링 단계에서 실시간으로 얻어진 컨텍스트 정보를 정량화하여 사용하고 있다. 하지만 이러한 추천시스템은 컨텍스트 정보의 부족으로 부정확한 추천 결과를 가져오거나, 정량화 단계의 단순한 분류과정으로 인해 사용자를 부정확한 그룹으로 분류하는 문제점이 발생한다. 본 논문에서는 실시간으로 획득되는 컨텍스트 정보 부족 문제를 내용 기반 필터링에서 사용하는 사용자 프로파일 정보와 실시간으로 획득된 컨텍스트 정보를 결합하여 해결하였다. 그리고 정량화 단계의 분류 과정을 절대적인 방법이 아니라 상대적인 방법으로 개선하여 협력적 필터링하였다. 실험 결과, pure P2P 환경에서 컨텍스트 정보를 이용한 실시간 추천 시스템보다 예측 선호도가 5.8% 향상되었다.

A study of the factors affecting delay in apartment projects in Vietnam

  • Luu, Truong-Van;Kim, Soo-Yong
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2007년도 정기학술발표대회 논문집
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    • pp.718-721
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    • 2007
  • Construction schedule plays a key role in project management due to its influence on the project success. Thus, it is important to identify factors affecting construction delay. The major objective of this study is to identify and evaluate factors affecting construction delay in apartment projects in Vietnam. The findings confirmed that financial difficulties of owners and contractors, contractors without adequate experience, non-available materials on time, slow site clearance, inappropriate construction methods, defective works and reworks, and lack of capable owners/project managers are the major causes of delay in apartment projects.

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LONG-TIME BEHAVIOR FOR SEMILINEAR DEGENERATE PARABOLIC EQUATIONS ON ℝN

  • Cung, The Anh;Le, Thi Thuy
    • 대한수학회논문집
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    • 제28권4호
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    • pp.751-766
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    • 2013
  • We study the existence and long-time behavior of solutions to the following semilinear degenerate parabolic equation on $\mathbb{R}^N$: $$\frac{{\partial}u}{{\partial}t}-div({\sigma}(x){\nabla}u+{\lambda}u+f(u)=g(x)$$, under a new condition concerning a variable non-negative diffusivity ${\sigma}({\cdot})$. Some essential difficulty caused by the lack of compactness of Sobolev embeddings is overcome here by exploiting the tail-estimates method.

T-DMB 개인 맞춤형방송 서비스를 위한 전자콘텐트안내 기술 개발 (Development of Electronic Content Guide (ECG) Technology for Personalized T-DMB Service)

  • 박민식;김현순;이한규;홍진우
    • 대한임베디드공학회논문지
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    • 제3권4호
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    • pp.182-192
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    • 2008
  • The personalized service becomes an important role in consuming the mobile broadcasting contents due to the lack of television watching time in the mobile environment. The paper discusses the technology development of ECG (electronic content guide) for personalized broadcasting service such as contents tracking, time shifting and contents scraping according to user preference.

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최신 고능률 GMAW Process인 T.I.M.E용접법에 대하여 (A High Efficient GMAW Process of the Newest Type : The T.I.M.E Welding Process)

  • 박송춘
    • Journal of Welding and Joining
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    • 제11권1호
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    • pp.33-41
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    • 1993
  • TIME 용접법용 혼합 가스의 특성으로 인하여 기존의 GMAW 용접법과 비교하여 TIME 용접법 은 다음과 같은 장점이 있다. 1.용적 이행이 아크 플라즈마 기둥 내부에서만 일어난다. 2.용입이 깊고, 비드 단면현상도 뛰어나다. 3.용착량을 최대 450g/min까지 증가 시킬수 있다. 4.용접속도의 향상, pass수 감소, 결함발생이 적다. 5.저온 충격시험치를 향상시킨다. 6.비드외관이 미려하고, under cut 및 lack of fusion등의 결함발생 위험이 적다. 7.스패터 발생이 극히 적다. 8.자동 및 반자동 용접이 가능하다. 9.전체적인 용접비용이 대폭 절감된다.

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Influence of Physical Therapist and Work Environment on Evidence-Based Practice in South Korea

  • Shin, Kyung-Mi;Song, Chang-Ho
    • Physical Therapy Rehabilitation Science
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    • 제11권2호
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    • pp.224-234
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    • 2022
  • Objective: The purpose of this study was to identify the practitioner and organizational characteristics that either detracted from or encouraged the use of evidence-based practice (EBP) by physical therapists. Design: A cross-sectional survey study Methods: Participants were 260 physical therapists currently practicing in South Korea. They completed a questionnaire designed to determine attitudes, beliefs, interest, self-efficacy and barriers to EBP, as well as demographic information about themselves and their practice settings. Logistic regression was used to examine relationships between socio-demographic and work environment characteristics and each practitioner factor. Results: Respondents agreed that the use of evidence in practice was necessary. Although 80% of them agreed that research findings are useful, 71% felt that a divide exists between research and practice. In terms of confidence in their skills, the ability to interpret results of statistical procedures ranked lowest. Despite internet access at work for 63% of respondents, only 14% were given protected work time to search and appraise the literature. Only 2% of respondents stated that their organization had a written requirement to use current evidence in their practice. The primary barrier to implementing EBP was a reported lack of time. Conclusions: In conclusion, most physical therapists stated they had a positive attitude toward EBP and were interested in learning or improving the skills necessary for implementation. Most recognized a need to increase the use of evidence in their daily practice, but a lack of ability to understand the results of research represents a significant barrier to implementing EBP.

냉각재 공급자관 위상배열 검사 적용에 따른 결함 분석 (Analysis of Defect in CANDU Feeder Pipe using Phased Array Ultrasonic Inspection System)

  • 이상훈;진석홍;김인철
    • 한국압력기기공학회 논문집
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    • 제6권1호
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    • pp.78-82
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    • 2010
  • The feeder pipe of Main Primary Heat Transfer System in Wolsong Nuclear Power Plant was inspected by the Ultrasonic Phase Array technique in 2010. It is the first time to apply this method to the construction at Nuclear Power Plant in Korea. The time required for UT technique is less than RT method. The UT method doesn't need to evacuate personnel who works nearby inspecting area and doesn't need to wait developing of film. For these reasons, the UT method is the fastest method among the volumetric inspections. As a result of the examination, it became clear that main defect of the feeder pipe is the Lack of fusion in the welded area. Moreover, the rate of defect was reduced gradually as improvement of welder's skill. If welding machine has problem, the defect has tended to same pattern(occurred same position in the welding area) but these defects were founded without specific rules. For these reasons, the creation of defect is dependent on the skill of worker not on the automatic welding machine. This evaluation of defect signal and collecting data would be useful to further examination in ISI.

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프로바이오틱 유산균 발효조건 탐색을 위한 다반응 최적화의 활용 (Applying Multi-Response Optimization to Explore Fermentation Conditions of Probiotics)

  • 임성수
    • Journal of Dairy Science and Biotechnology
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    • 제41권2호
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    • pp.45-56
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    • 2023
  • This review serves two purposes: first, to promote the use of improved optimization techniques in response surface methodology (RSM); and second, to enhance the optimum conditions for the fermentation of probiotics. According to research in dairy science, Lactiplantibacillus plantarum K79 is a candidate probiotic that has beneficial health effects, such as lowering blood pressure. The optimum conditions for L. plantarumK79 to produce peptides with angiotensin-converting enzyme (ACE) inhibitory activity were proposed, through modeling each of ACE inhibitory activity and pH as a function of the four factors that are skim milk concentration (%), incubation temperature (℃), incubation time (hours), and starter added amount (%). To estimate optimum conditions, the researchers employed a desirability-based multi-response optimization approach, utilizing third-order models with a nonsignificant lack of fit. The estimated optimum fermentation conditions for L. plantarum K79 were as follows: a skim milk concentration of 10.76%, an incubation temperature of 36.9℃, an incubation time of 23.76 hours, and a starter added amount of 0.098%. Under these conditions, the predicted ACE inhibitory activity was 91.047%, and the predicted pH was 4.6. These predicted values achieved the objectives of the multi-response optimization in this study.

건축공간 환경관리 지원을 위한 AI·IoT 기반 이상패턴 검출에 관한 연구 (A Study on Detection of Abnormal Patterns Based on AI·IoT to Support Environmental Management of Architectural Spaces)

  • 강태욱
    • 한국BIM학회 논문집
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    • 제13권3호
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    • pp.12-20
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    • 2023
  • Deep learning-based anomaly detection technology is used in various fields such as computer vision, speech recognition, and natural language processing. In particular, this technology is applied in various fields such as monitoring manufacturing equipment abnormalities, detecting financial fraud, detecting network hacking, and detecting anomalies in medical images. However, in the field of construction and architecture, research on deep learning-based data anomaly detection technology is difficult due to the lack of digitization of domain knowledge due to late digital conversion, lack of learning data, and difficulties in collecting and processing field data in real time. This study acquires necessary data through IoT (Internet of Things) from the viewpoint of monitoring for environmental management of architectural spaces, converts them into a database, learns deep learning, and then supports anomaly patterns using AI (Artificial Infelligence) deep learning-based anomaly detection. We propose an implementation process. The results of this study suggest an effective environmental anomaly pattern detection solution architecture for environmental management of architectural spaces, proving its feasibility. The proposed method enables quick response through real-time data processing and analysis collected from IoT. In order to confirm the effectiveness of the proposed method, performance analysis is performed through prototype implementation to derive the results.

종양간호사와 일반간호사의 흡연 중재 비교 조사 연구 (A Comparison on the Tobacco Control Intervention, Barriers, and Facilitators between Oncology Nurses and General Nurses in Clinical Practice)

  • 오복자;신성례
    • 성인간호학회지
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    • 제17권4호
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    • pp.529-538
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    • 2005
  • Purpose: This study was conducted to 1) find out the frequency of tobacco control intervention, barriers, and facilitators. 2) compare the differences in tobacco control intervention, barriers, and facilitators between oncology nurses and general nurses. Method: A sample was composed of 96 oncology nurses and 284 general nurses. The survey questionnaire was mailed out to nurses who were working at the randomly selected hospitals throughout the country. The questionnaire was adopted from the study of national survey on oncology nurse's tobacco interventions in United States by Sarnar, et al.(2000). Results: Oncology nurses were found to provide tobacco control interventions more frequently comparing to the general nurses. "Patient not motivated to quit smoking", "Lack of time", "Lack of recognition/rewards", were the most commonly identified barriers. "Patient wants to quit", "Adequate time", "Confidence in ability help people to stop smoking", were the most commonly identified facilitators. Conclusions: Although oncology nurses are in an important position in delivering tobacco interventions and providing resources, their participation in consistent delivery of a tobacco control intervention was less than desirable. To help nurses participate in the assessment of tobacco use and interventions for cessation, the development of educational program is necessary.

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