• 제목/요약/키워드: park attributes

검색결과 984건 처리시간 0.027초

건설사업관리에서 형상관리에 관한 변경 프로세스 개선에 관한 연구 (A Study of Development of Change Process for Configuration Management in Construction Project Management)

  • 고호은;박형근
    • 대한토목학회논문집
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    • 제29권1D호
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    • pp.81-89
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    • 2009
  • 형상관리는 생산품의 기능과 생애주기에 걸쳐 생산품의 요구사항, 설계 그리고 운전에 필요한 정보 등의 물리적인 특성 및 생산품의 성능을 일관성 있게 유지하며, 이를 확립하기 위한 관리의 한 부분이다. 최근 형상관리 개념이 조직의 구성과 프로젝트 변경관리를 통한 가치의 창출, 리스크에 의한 가치 보전, 변경관리의 사업관리 분야 적용 등 여러 가지로 형태로 정의되고 있음에도 불구하고, 점차 정립이 진행되어가고 있다. CM은 기본적으로 기록과 프로젝트 성능에 대하여 프로젝트의 범위와 시간, 비용을 만족하도록 제공하고 있다. 해외의 세계적인 기업들은 이미 형상관리 시스템을 도입하여 적용하고 있으며, 그로 인한 효과를 보고 있다. 또한 형상관리는 모든 프로젝트에 대하여 전망과 통찰력을 제공한다. 본 연구는 현재 현장에서 사용 중인 시스템을 검토하고 효율적으로 개선할 수 있도록 현재 이슈가 되고 있는 형상관리의 소개와 적용을 연구하였다. 또한 작업절차에 대한 관련 시스템의 구성과 변경관리 및 형상관리의 방법을 보다 효율적인 프로세스 개선방안을 제시하였다. 마지막으로 이 과정에서 가상 프로젝트에 대한 시나리오를 작성하여 시뮬레이션을 통해 결과를 분석함으로서 본 연구의 실용가능성을 검토하였다.

클러스터링 기법을 이용한 하이브리드 영화 추천 시스템 (Hybrid Movie Recommendation System Using Clustering Technique)

  • 싯소포호트;펭소니;양예선;일홈존;김대영;박두순
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2023년도 춘계학술발표대회
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    • pp.357-359
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    • 2023
  • This paper proposes a hybrid recommendation system (RS) model that overcomes the limitations of traditional approaches such as data sparsity, cold start, and scalability by combining collaborative filtering and context-aware techniques. The objective of this model is to enhance the accuracy of recommendations and provide personalized suggestions by leveraging the strengths of collaborative filtering and incorporating user context features to capture their preferences and behavior more effectively. The approach utilizes a novel method that combines contextual attributes with the original user-item rating matrix of CF-based algorithms. Furthermore, we integrate k-mean++ clustering to group users with similar preferences and finally recommend items that have highly rated by other users in the same cluster. The process of partitioning is the use of the rating matrix into clusters based on contextual information offers several advantages. First, it bypasses of the computations over the entire data, reducing runtime and improving scalability. Second, the partitioned clusters hold similar ratings, which can produce greater impacts on each other, leading to more accurate recommendations and providing flexibility in the clustering process. keywords: Context-aware Recommendation, Collaborative Filtering, Kmean++ Clustering.

컨조인트 모형의 속성 유의성을 검증하기 위한 새로운 비모수통계 검증법 (A New Test of Attribute Significance for Nonparametric Conjoint Models)

  • 한민희;;강현모;현진석;박상준;현용진
    • Asia Marketing Journal
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    • 제9권2호
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    • pp.23-47
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    • 2007
  • 이 논문은 비모수 자료를 활용하는 컨조인트 모형에서 속성의 유의성을 평가하기 위한 새로운 카이제곱 검증법을 제안한다. 이 검증법의 가장 핵심적 아이디어는 수집한 서열을 몇 개씩 묶어 하위집합들로 분류한 다음, 이 서열의 하위집합들과 속성별 수준들과 상호 통계적으로 독립적인지를 검증한다는 것이다. 이 검증은 프로파일들의 서열이 검증하는 속성의 수준에 대해 무작위로 분포되어 있다라는 명제를 귀무가설로 제시한다. 이 논문에서 새롭게 제시하는 검증방법은 매우 단순하고, 이해하기 쉬우며 사용하기도 쉽다. 이 방법은 총괄적 자료뿐 아니라 개인별 자료로도 검증이 가능하다. 또한 전체프로파일 법에서도 적용 가능하지만 더 나아가 트레이드오프 법에서도 적용이 가능하여, 현재로는 트레이드오프 법에 적용 가능한 유일한 통계적 검증방법이라 할 수 있다.

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프리셉터 간호사의 갈등관리 유형이 프리셉터 역할인식 및 핵심역량에 미치는 영향 (The Effect of Preceptor Nurses' Conflict Management Type on Preceptor Role Recognition and Core Competency)

  • 김은정;박보현
    • 임상간호연구
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    • 제29권3호
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    • pp.337-347
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    • 2023
  • Purpose: The objectives of this study were to categorize the conflict management types of preceptor nurses and determine the effects of these types on preceptors' role perception and core competencies. Methods: Data was collected from 192 preceptor nurses with at least two years experiences in general hospitals, from July 1 to July 31, 2022. Conflict management type, preceptor role perception, and core competency were investigated using structured instruments. The data was analyzed using K-means cluster analysis, Independent samples t-test, One-way ANOVA with Scheffé's test, and multiple regression analysis. Results: The conflict management types were categorized into four types; comprehensive type (cluster 1), integrating, obliging, compromising type (cluster 2), undifferentiated type (cluster 3) and obliging, avoiding type (cluster 4). The effect of conflict management types on preceptors' role recognition occurred in the following order of cluster 2 (integrating/obliging/compromising type), cluster 1 (comprehensive type), and cluster 4 (obliging/avoiding type). Next, cluster 1 (comprehensive type), cluster 2 (integrating/obliging/compromising type), and cluster 4 (obliging/avoiding type) were shown in the order of the impact on the core competencies of the preceptor. Conclusion: When preceptor nurses use a mixture of various attributes of conflict management evenly, they have been shown to demonstrate effective preceptor role recognition and core competencies. Therefore, it is proposed that future development of conflict management training programs for preceptor nurses should begin with identifying their conflict management type, followed by creating a program that addresses any deficiencies.

스타트업 내부 특성이 조직 결속을 통해 기업 성과에 미치는영향 (The Effects of Internal Characteristics of Startups on Corporate Performance through Organizational Commitment)

  • 박찬욱
    • 문화기술의 융합
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    • 제9권5호
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    • pp.635-647
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    • 2023
  • 산업의 지속적인 혁신을 위해서는 성장 잠재력이 높은 스타트업들이 지속적으로 나타나야 한다. 그동안 정부에서는 다양한 투자를 바탕으로 스타트업의 창업 지원 정책을 펴고 있으나, 여전히 스타트업은 창업 이후로 실패를 직면할 확률이 매우 높다. 이에 본 연구는 스타트업이 실질적으로 통제할 수 있으면서, 전략을 수립할 수 있는 내부적인 요인에 초점을 맞추어, 스타트업 내부 특성이 조직 결속을 통해 기업 성과에 미치는 영향을 실증적으로 분석하였다. 연구 결과, 스타트업의 내부적 요인 중 학습 지향성과 네트워크 지향성은 모든 종류의 조직 결속 하위요인에 유의한 영향을 미치고, 혁신성은 정서적 결속과 규범적 결속에는 유의한 영향을 미치지만, 지속적 결속에는 유의하지 않은 것이 확인되었다. 반대로, 재무적 특성, 글로벌 지향성은 지속적 결속에는 유의한 영향을 미치지만, 정서적 결속과 규범적 결속에는 유의한 영향을 미치지 않는 것을 확인하였다. 마지막으로 정서적 결속과 지속적 결속은 스타트업의 기업성과에 유의한 영향을 미치지만, 규범적 결속은 기업 성과에 유의한 영향을 미치지 않는 것을 확인하였다. 본 연구의 결과 및 시사점을 통해 오늘날의 환경을 반영한 스타트업의 인적자원 활용에 대한 발전 방향을 관련 기업 및 정부에 제공하고자 하였다.

천연고무의 가황시스템 및 성형공정에 따른 2단 발포 특성 연구 (A Study on the Vulcanization System and Two-Step Foaming Properties for Natural Rubber Foam)

  • 이선희;박예은;쇼더리 딕시타
    • 한국염색가공학회지
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    • 제35권4호
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    • pp.246-255
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    • 2023
  • In this study, we investigated for natural rubber foam to replace petrochemical-based neoprene foam. Experiments were conducted on vulcanization system and 2-step foaming process of natural rubber. The vulcanization system were EV(Efficient Vulcanization Cure), Semi-EV(Semi-Efficient Vulcanization Cure) and CV(Conventional Vulcanization Cure). In the 2-step foaming process, first molding temperature was 140℃, times were 15, 20, 25, and 30minutes, and the second molding temperature was 160℃, the times 5, 10, 15, and 20minutes. The cure and viscosity characterization were evaluated by oscillating disc rheometer (ODR) and mooney viscosmeter. Various mechanical characteristics, including hardness, tensile strength, elongation at the point of rupture, and tear strength, were quantified. Subsequently, an assessment of alterations in these mechanical attributes was conducted post-immersion in a NaCl solution. In addition degree of volume change was measured after immersing the NR foam in NaCl solution and the low-temperature permanent compression set was evaluated at 4℃. And expansion ratio and shrinkage ratio of NR foam were evaluated for 28 days. As a result the EV vulcanization system showed the least change in physical properties before and after salt water immersion, and the lowest shrinkage ratio for 28 days. In addition it was confirmed that the 2-step foaming optimum condition differed depending on the appropriate vulcanization condition.

간호사의 임상판단 측정도구 개발 (Development of Nursing Clinical Judgment Scale)

  • 권시내;박효정
    • 대한간호학회지
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    • 제53권6호
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    • pp.652-665
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    • 2023
  • Purpose: This study aimed to develop a nursing clinical judgment scale (NCJS) and verify its validity and reliability in assessing the clinical judgment of nurses. Methods: A preliminary instrument of the NCJS comprising 38 items was first developed from attributes and indicators derived from a literature review and an in-depth/focus interview with 12 clinical nurses. The preliminary tool was finalized after 7 experts conducted a content validity test based on a data from a preliminary survey of 30 hospital nurses in Korea. Data were collected from 443 ward, intensive care unit, emergency room nurses who voluntarily participated in the survey through offline and online for the verification of the construct validity and reliability of the scale. Results: The final scale comprised 23 items scored on a 5-point Likert scale. Six factors - integrated data analysis, evaluation and reflection on interventions, evidence on interventions, collaboration among health professionals, patient-centered nursing, and collaboration among nurse colleagues - accounted for 64.9% of the total variance. Confirmatory factor analysis supported the fit of the measurement model, comprising six factors (root mean square error of approximation = .07, standardized root mean square residual = .04, comparative fit index = .90). Cronbach's α for all the items was .92. Conclusion: The NCJS is a valid and reliable tool that fully reflects the characteristics of clinical practice, and it can be used effectively to evaluate the clinical judgment of Korean nurses. Future research should reflect the variables influencing clinical judgment and develop an action plan to improve it.

A Novel, Deep Learning-Based, Automatic Photometric Analysis Software for Breast Aesthetic Scoring

  • Joseph Kyu-hyung Park;Seungchul Baek;Chan Yeong Heo;Jae Hoon Jeong;Yujin Myung
    • Archives of Plastic Surgery
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    • 제51권1호
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    • pp.30-35
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    • 2024
  • Background Breast aesthetics evaluation often relies on subjective assessments, leading to the need for objective, automated tools. We developed the Seoul Breast Esthetic Scoring Tool (S-BEST), a photometric analysis software that utilizes a DenseNet-264 deep learning model to automatically evaluate breast landmarks and asymmetry indices. Methods S-BEST was trained on a dataset of frontal breast photographs annotated with 30 specific landmarks, divided into an 80-20 training-validation split. The software requires the distances of sternal notch to nipple or nipple-to-nipple as input and performs image preprocessing steps, including ratio correction and 8-bit normalization. Breast asymmetry indices and centimeter-based measurements are provided as the output. The accuracy of S-BEST was validated using a paired t-test and Bland-Altman plots, comparing its measurements to those obtained from physical examinations of 100 females diagnosed with breast cancer. Results S-BEST demonstrated high accuracy in automatic landmark localization, with most distances showing no statistically significant difference compared with physical measurements. However, the nipple to inframammary fold distance showed a significant bias, with a coefficient of determination ranging from 0.3787 to 0.4234 for the left and right sides, respectively. Conclusion S-BEST provides a fast, reliable, and automated approach for breast aesthetic evaluation based on 2D frontal photographs. While limited by its inability to capture volumetric attributes or multiple viewpoints, it serves as an accessible tool for both clinical and research applications.

도시침수 관점에서의 도시회복력 평가를 위한 네트워크 분석: 서울특별시 중심으로 (Network analysis for assessing urban resilience from the perspective of urban flooding: case study of Seoul, Korea)

  • 박형준;송수민;김동현;이승오
    • 한국수자원학회논문집
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    • 제57권6호
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    • pp.371-383
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    • 2024
  • 회복력의 정량화방법과 정의는 다양하며 많은 분야에서 연구되어지고 있다. 하지만 이러한 다양성은 회복력의 의미, 지표 등에서 해석의 차이를 유발하여 회복력 평가 시 긍정적이지 않은 영향을 끼칠 수 있다. 따라서 회복력 평가의 일관성 있는 기준이 필요하며 본 연구에서는 회복력 평가에 있어 고려해야될 정의와 회복력의 사회·구조적 평가방법을 네트워크 분석을 통해 검토하였다. 다양한 회복력 정의의 분석을 통해 도시침수분야에서 의 회복력을 정의하였으며 회복력을 정적 및 동적 회복력으로 구별하여 일관성 있는 속성별 평가 방법을 제시하였다. 그리고 과거 침수흔적도를 활용하여 회복력을 도입함으로써 얻을 수 있는 경제적인 효과를 분석하였다. 평가지역의 대부분은 낮음등급으로 나타났으며 최대 약 96억원의 복구 비용이 발생하였다. 향후 통일된 기준의 회복력평가를 통한 2차적인 파급효과에 대한 연구가 수행된다면 도시침수 관리정책 내 의사결정 단계 등에서 다양하게 활용될 것으로 기대된다.

Trends in Research on Patients With COVID-19 in Korean Medical Journals

  • Heejeong Choi;Seunggwan Song;Heesang Ahn;Hyobean Yang;Hyeonseong Lim;Yohan Park;Juhyun Kim;Hongju Yong;Minseok Yoon;Mi Ah Han
    • Journal of Preventive Medicine and Public Health
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    • 제57권1호
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    • pp.47-54
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    • 2024
  • Objectives: This study was conducted to systematically summarize trends in research concerning patients with coronavirus disease 2019 (COVID-19) as reported in Korean medical journals. Methods: We performed a literature search of KoreaMed from January 2020 to September 2022. We included only primary studies of patients with COVID-19. Two reviewers screened titles and abstracts, then performed full-text screening, both independently and in duplicate. We first identified the 5 journals with the greatest numbers of eligible publications, then extracted data pertaining to the general characteristics, study population attributes, and research features of papers published in these journals. Results: Our analysis encompassed 142 primary studies. Of these, approximately 41.0% reported a funding source, while 3.5% disclosed a conflict of interest. In 2020, 42.9% of studies included fewer than 10 participants; however, by 2022, the proportion of studies with over 200 participants had increased to 40.6%. The most common design was the cohort study (48.6%), followed by case reports/series (35.2%). Only 3 randomized controlled trials were identified. Studies most frequently focused on prognosis (58.5%), followed by therapy/intervention (20.4%). Regarding the type of intervention/exposure, therapeutic clinical interventions comprised 26.1%, while studies of morbidity accounted for 13.4%. As for the outcomes measured, 50.7% of studies assessed symptoms/clinical status/improvement, and 14.1% evaluated mortality. Conclusions: Employing a systematic approach, we examined the characteristics of research involving patients with COVID-19 that was published in Korean medical journals from 2020 onward. Subsequent research should assess not only publication trends over a longer timeframe but also the quality of evidence provided.