• Title/Summary/Keyword: Key success factor

검색결과 258건 처리시간 0.022초

해외 유사 제도 비교분석을 통한 설계안전성검토 개선 방안 (Improvements of Design For Safety in Korea based on the Comparative Analysis with Other Countries)

  • 김시은;정재민;정재욱
    • 한국안전학회지
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    • 제34권6호
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    • pp.38-49
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    • 2019
  • While the overall industrial accident rate has been decreased, but those of the construction industry has not been. For safety management during the planning/design phase, which accounts for 45% of the cause of accident at the construction site, Design For Safety (DFS) was established to minimize a hazard and risk in 2016. Currently, DFS system has difficulty settling down in Korea due to the several reasons. So, this paper aims to propose to the Key Success Factor (KSF) and related action plan to improve DFS system. This study was conducted by following 2 steps: i) identification of problems on current DFS, and ii) proposal of KSF and following action plan for DFS. The DFS in Korea was compared with UK, Singapore, Australia, and US on 7 criteria (application target, execution period, change of design, collaboration among participants, expert participants, alternative review and decision support system). DFS was compared with other countries's system based on the identical criteria and the corresponding improvement measures were also proposed. The results of this study can be utilized to improve DFS system in various aspects.

Task Assignment Model for Crowdsourcing Software Development: TAM

  • Tunio, Muhammad Zahid;Luo, Haiyong;Wang, Cong;Zhao, Fang;Gilal, Abdul Rehman;Shao, Wenhua
    • Journal of Information Processing Systems
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    • 제14권3호
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    • pp.621-630
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    • 2018
  • Selection of a suitable task from the extensively available large set of tasks is an intricate job for the developers in crowdsourcing software development (CSD). Besides, it is also a tiring and a time-consuming job for the platform to evaluate thousands of tasks submitted by developers. Previous studies stated that managerial and technical aspects have prime importance in bringing success for software development projects, however, these two aspects can be more effective and conducive if combined with human aspects. The main purpose of this paper is to present a conceptual framework for task assignment model for future research on the basis of personality types, that will provide a basic structure for CSD workers to find suitable tasks and also a platform to assign the task directly. This will also match their personality and task. Because personality is an internal force which whittles the behavior of developers. Consequently, this research presented a Task Assignment Model (TAM) from a developers point of view, moreover, it will also provide an opportunity to the platform to assign a task to CSD workers according to their personality types directly.

An Exploratory Study on the Cloud Computing Services: Issues and Suggestion for The Success

  • Lee, Jong Un;Seo, Kyung Jin;Kim, Hee-Woong
    • Asia pacific journal of information systems
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    • 제24권4호
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    • pp.473-491
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    • 2014
  • There is a growing interest for 'Cloud computing' to cut costs, and help the users focus on their core business instead of being impeded by IT obstacles. As it became IT version 3.0 which represents the era of cloud services and the dominance of a new kind of IT service provider, cloud service providers (CSPs)' role is more critical as a trusted IT advisor to include cloud migration and integration expertise. However, previous literatures related to cloud computing service have mainly analyzed from customers, although it is hard for customers to totally understand the complex and diverse cloud ecosystem. Therefore, it is an urgent task to mitigate the inhibitory factors in providing the cloud services for activating cloud industry. This study, an exploratory research based on interviews, has derived factors of promoting and hindering the activation of cloud computing from the provider's perspective, and has analyzed a sequence of cause and effect for each factor. For this, the casual loop diagram was developed to deduce key issues, and propose an alternative. The results of this study are expected to help activate 'Cloud computing' in Korea by minimizing the potential negative effects of activating 'Cloud computing' industry.

Recipient Management before Lung Transplantation

  • Kim, Hyoung Soo;Park, Sunghoon
    • Journal of Chest Surgery
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    • 제55권4호
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    • pp.265-273
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    • 2022
  • Lung transplantation is considered a viable treatment option for patients with end-stage lung disease. Recent decades have seen a gradual increase in the number of lung transplantation patients worldwide, and in South Korea, the case number has increased at least 3-fold during the last decade. Furthermore, the waiting list time is becoming longer, and more elderly patients (>65 years) are undergoing lung transplantation; that is, the patients placed on the waiting list are older and sicker than in the past. Hence, proper management during the pre-transplantation period, as well as careful selection of candidates, is a key factor for transplant success and patient survival. Although referring and transplant centers should address many issues, the main areas of focus should be the timing of referral, nutrition, pulmonary rehabilitation, critical care (including mechanical ventilation and extracorporeal membrane oxygenation), psychological support, and the management of preexisting comorbid conditions (coronary artery disease, diabetes mellitus, gastroesophageal reflux disease, osteoporosis, malignancy, viral infections, and chronic infections). In this context, the present article reviews and summarizes the pre-transplantation management strategies for adult patients listed for lung transplantation.

COST ANALYSIS OF STRUCTURAL PLAN FOR REDUCING FRAMEWORK CONSTRUCTION DURATION OF REINFORCED CONCRETE RESIDENTIAL BUILDINGS

  • Seon-Woo Joo;Moonseo Park;Hyun-Soo Lee
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.493-498
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    • 2009
  • Recently, the number of complex construction projects, such as high-density development and long-span mega structure construction, has been increasing globally. Therefore, the construction duration has become an even more important factor for success. Nevertheless, in domestic residential construction projects, it usually takes more time than twice as much as North American cases. The long construction duration causes a number of problems, for example growth of financial costs, fall in productivity, and weakness of competitiveness. If the framework construction duration can be shortened to 3 ~ 4 days, then it is also expected to complete the finish work of building in shorter duration, be led to reduce the entire construction duration, and eventually to save a great deal of indirect costs. For shortening the construction duration, previous researches pointed out that the development of simplified plan design should precedes. But, in reality, lack of experience of new design and innovative techniques tends to be the obstacle to wide adoption of the simplified plan design in construction fields. In this paper, a simplified structural plan design is proposed, and the construction cost is quantitatively compared between when traditional construction technique is applied to the traditional plan and when the duration-shortening key technique is applied to the developed plan.

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머신러닝 기반 공동주택 분양가 예측모델 개발 기초연구 (A Basic Study on Sale Price Prediction Model of Apartment Building Projects using Machine Learning Technique)

  • 손승현;김지명;한범진;나영주;김태희
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 봄 학술논문 발표대회
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    • pp.151-152
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    • 2021
  • The sale price of apartment buildings is a key factor in the success or failure of apartment projects, and the factors that affect the sale price of apartments vary widely, including location, environmental factors, and economic conditions. Existing methods of predicting the sale price do not reflect the nonlinear characteristics of apartment prices, which are determined by the complex impact factors of reality, because statistical analysis is conducted under the assumption of a linear model. To improve these problems, a new analysis technique is needed to predict apartment sales prices by complex nonlinear influencing factors. Using machine learning techniques that have recently attracted attention in the field of engineering, it is possible to predict the sale price reflecting the complexity of various factors. Therefore, this study aims to conduct a basic study for the development of a machine learning-based prediction model for apartment sale prices.

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Asymmetric Capacitive Sensor for On-line and Real-time Partial Discharge Detection in Power Cables

  • Changhee Son;Hyewon Cheon;Hakson Lee;Daekyung Kang;Jonghoo Park
    • 센서학회지
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    • 제32권4호
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    • pp.219-222
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    • 2023
  • Partial discharges (PD) have long been recognized as a major contributing factor to catastrophic failures in high-power equipment. As the demand for high voltage direct current (HVDC) facilities continues to rise, the significance of on-line and real-time monitoring of PD becomes increasingly prominent. In this study, we have designed, fabricated, and characterized a highly sensitive and cost-effective PD sensor comprising a pair of copper electrodes with different arc lengths. The key advantage of our sensor is its non-invasive nature, as it can be installed at any location along the entire power cable without requiring structural modifications. In contrast, conventional PD sensors are typically limited to installation at cable terminals or insulation joint boxes, often necessitating invasive alterations. Our PD sensor demonstrates exceptional accuracy in estimating PD location, with a success rate exceeding 95% in the straight sections of the power cable and surpassing 89% in curved sections. These remarkable characteristics indicate its high potential for realtime and on-line detection of PD.

산업설비 기술수준 평가를 통한 주요업무 도출 및 모델 구축방안 연구 (Establishment of Critical Work Models through the Evaluation of Technology Competitiveness)

  • 박수현;하승호;김경민;박찬혁;김경주
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2004년도 제5회 정기학술발표대회 논문집
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    • pp.526-530
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    • 2004
  • 산업설비 분야는 건설 산업의 고도화에 따라 산업시설의 비중이 증대되고 있으며, 첨단기술의 접목을 통한 고부가 가치를 창출할 수 있는 역동적인 분야임에도 단계별 정보 흐름의 관리와 지식 집약적인 업무 수행이 미흡한 실정이다. 향후 국제 산업설비 시장에서 건설 프로젝트 수요증대, 유지관리 분야의 확대가 예상되며, 이에 대응하여 국내에서는 지속적인 설계기술 및 노하우 축적이 시급하다. 본 연구에서는 국내 산업설비의 미흡한 부분을 객관적으로 파악하고, 주요 단계의 업무 모델을 제시하기 위하여 국내 산업설비 현행 업무프로세스로부터 프로젝트 관리 핵심요소를 도출하였다. 이를 해외 산업설비 수준과 비교해 봄으로써 국내공사 기술수준을 파악하고, 산업설비 주요 업무단계에 대한 업무모델을 구축하여 향후 개선된 업무모델을 제시하고자 한다.

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시간가치와 중요도 기반의 분류 작업 스케쥴링 (Time Value and Importance based Classified Job Scheduling)

  • 심정연
    • 전자공학회논문지
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    • 제50권3호
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    • pp.71-77
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    • 2013
  • 정보가 폭주하고 해야할 일들이 많은 상황에서 바쁜 현대인에게 있어서는 효율적인 에너지와 시간관리가 매우 중요한 일로 여겨지고 있다. 이미 효율적인 시간관리 스케쥴링 방식은 성공적인 삶을 살기 위한 매우 중요한 요소가 되었기 때문에 사건중심의 기존의 단순한 스케쥴링 방식보다 더 정교하게 이러한 기능을 지원해 줄 수 있는 지능적 시스템이 필요하다. 따라서 본 논문에서는 작업을 시간가치와 중요도에 따라 분류하고 이를 효율적으로 시간 프레임에 할당할 수 있는 분류 작업 스케쥴링 방법을 제안하고자 한다. 특히 시간가치가 높은 작업을 우선적으로 처리하고 동시에 시간가치는 높지 않으나 미래의 성공의 열쇠를 쥐고 있는 매우 중요한 일들을 꾸준히 수행할 수 있도록 시간 프레임에 일정부분을 고정 할당하는 새로운 방법을 제안한다.

학술적 기업가의 벤처기업 창업활동 지원 모델 (The Role of Academic Entrepreneurs and the Venture Business Supporting Model)

  • 김재명
    • 산학경영연구
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    • 제13권
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    • pp.223-246
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    • 2000
  • 본 연구는 학술적 기업가의 역할을 중심으로 학술적 기업가의 벤치기업 창업활동을 지원하기 위한 산 학 관 협력모델의 구성을 탐색하였다. 벤처기업 창업 인프라 제공 주체는 정부, 대학, 벤처캐피탈기관 등이 대표적이며, 그 가운데 대학, 특히 학술적 기업가들의 역할이 가장 중요하다. 이와 같은 학술적 기업가의 성공적 창업은 기초환경요인의 유효성 여부에 크게 좌우된다. 대학은 학술적 기업가들의 창업동기와 제약 요인을 바탕으로 정책, 절차, 그리고 보조금 지원 등 공식적 지원프로그램을 통해 경제개발에 기여할 수 있는 연구를 수행하도록 지원할 필요가 있다. 이를 위해 기술이전시스템 추측, 협동 교육시스템 도입, 벤처기업 창업보육시스템 구축, 그리고 학술적 기업가 활동 지원문화 조성프로그램 등을 마련해야한다. 이에 본 연구는 학술적 기업가의 창업동기를 바탕으로 창업활동을 하나의 과정으로 간주하고 창업지원 주체별 역할에 근거하여 학술적 기업가의 창업활동을 지원하기 위한 산 학 관 협력 모델을 탐색하였다.

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