• 제목/요약/키워드: Management Solution

검색결과 3,402건 처리시간 0.026초

스마트 환경에서의 실시간 재난 안전 관리 솔루션 설계 (Design of Real-time Disaster Safety management Solution in a Smart Environment)

  • 서쌍희;김봉현
    • 디지털융복합연구
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    • 제18권7호
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    • pp.31-36
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    • 2020
  • 최근 들어, 대규모의 피해를 동반하는 각종 재난, 사고 등이 증가하고 있다. 재난은 불확실성을 지닌 사고로 국민의 생명과 안전, 재산보호 등에 직접적인 영향을 미친다. 따라서, 다양한 재난에 대한 예방, 대응, 복구 등의 안전관리 체계를 구축, 운영하는 것이 필요하다. 따라서, 본 논문에서는 재난 사고에 대한 체계적인 대응을 위해 스마트 환경에서의 실시간 재난 안전 관리 솔루션을 설계하였다. 이를 위해, 스마트 디바이스를 통해 상황실과 유관기관, 전문가 등에게 1:1 또는 1:N 상황 전파를 수행하여 다자간 정보 공유 및 소통으로 신속하고 적절하게 대응할 수 있도록 솔루션을 구성하였다. 즉, 실시간·다자간 HD 영상 송출, 모바일 형식의 보고서 관리, 음성·문자 상황 전파, 위치정보 공유, 녹화 및 이력관리, 보안 등의 기능을 적용한 솔루션을 설계하였다.

병원조직구성원들의 지식공유에 대한 협조적 조직문화에 영향을 주는 지식경영 요인 (Knowledge Management Factors Affecting Cooperative Organizational Culture Regarding Knowledge Sharing of Members in the Hospital Organization)

  • 하오현;정용모
    • 보건의료산업학회지
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    • 제7권4호
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    • pp.49-63
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    • 2013
  • This study attempted to examine what effect knowledge management factors have on cooperative organizational culture regarding knowledge sharing depending on workplace types and occupations in order to seek for solution to increase efficiency and effects of knowledge management in the hospital organization. Key findings are as follows: For members of the hospital organization, the higher their recognition was in relation to 'concern and support of chief executive officer for knowledge management', and 'problem solution by specialists or superior in the organization and acquisition on the task knowledge', the more they worked as factors exerting positive effects on 'cooperative organizational culture regarding knowledge sharing'. And influence factors were different depending on workplace types and occupation.

Efficient Elitist Genetic Algorithm for Resource-Constrained Project Scheduling

  • Kim, Jin-Lee
    • 한국건설관리학회논문집
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    • 제8권6호
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    • pp.235-245
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    • 2007
  • This research study presents the development and application of an Elitist Genetic Algorithm (Elitist GA) for solving the resource-constrained project scheduling problem, which is one of the most challenging problems in construction engineering. Main features of the developed algorithm are that the elitist roulette selection operator is developed to preserve the best individual solution for the next generation so as to obtain the improved solution, and that parallel schedule generation scheme is used to generate a feasible solution to the problem. The experimental results on standard problem sets indicate that the proposed algorithm not only produces reasonably good solutions to the problems over the heuristic method and other GA, but also can find the optimal and/or near optimal solutions for the large-sized problems with multiple resources within a reasonable amount of time that will be applicable to the construction industry. This paper will help researchers and/or practitioners in the construction project scheduling software area with alternative means to find the optimal schedules by utilizing the advantages of the Elitist GA.

A Novel Design of Cloud-based Management Solution for Android Containers

  • Xuan, Nam Pham Nguyen;Chun, Hojin;Jung, Souhwan
    • 인터넷정보학회논문지
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    • 제20권1호
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    • pp.67-75
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    • 2019
  • The Android container is used for various purposes such as Bring Your Own Device (BYOD) solution and Android malware analysis. The strong point of android container than other technologies is it can simulate an android device like a real android phone on a hardware layer. Therefore, automatic management solutions for android container are necessary. This paper introduces a new design of cloud-based management solution for android containers. Through the proposal, android containers are managed automatically from a cloud platform - OpenStack with various tasks like: container configuration, deployment, destroy, android version, hardware device. In addition, the system monitoring and system statistics for android containers and hardware devices are also provided.

APPLYING ELITIST GENETIC ALGORITHM TO RESOURCE-CONSTRAINED PROJECT SCHEDULING PROBLEM

  • Jin-Lee Kim;Ok-Kyue Kim
    • 국제학술발표논문집
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    • The 2th International Conference on Construction Engineering and Project Management
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    • pp.739-748
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    • 2007
  • The objective of this research study is to develop the permutation-based genetic algorithm for solving the resource-constrained project scheduling problem in construction engineering by incorporating elitism into genetic algorithm. A key aspect of the algorithm was the development of the elitist roulette selection operator to preserve the best individual solution for the next generation so the improved solution can be obtained. Another notable characteristic is the application of the parallel schedule generation scheme to generate a feasible solution to the problem. Case studies with a standard test problem were presented to demonstrate the performance and accuracy of the algorithm. The computational results indicate that the proposed algorithm produces reasonably good solutions for the resource-constrained project scheduling problem.

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A Quality Assurance Process Model on Fault Management

  • Kim, Hyo-Soo;Baek, Cheong-Ho
    • Journal of Information Processing Systems
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    • 제2권3호
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    • pp.163-169
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    • 2006
  • So far, little research has been conducted into developing a QAPM (Quality Assurance Process Model) for telecommunications applications on the basis of TMN. This is the first trial of the design of TMN-based QAPM on fault management with UML. A key attribute of the QAPM is that it can easily identify current deficiencies in a legacy system on the basis of TMN architecture. Using an empirical comparison with the legacy systems of a common carrier validates the QAPM as the framework for a future mode of the operation process. The results indicate that this paper can be used to build ERP(Enterprise Resource Planning) for a telecommunications fault management solution that is one of the network management application building blocks. The future work of this paper will involve applying the QAPM to build ERP for RTE (Real Time Enterprise) fault management solution and more research on ERP design will be necessary to accomplish software reuse.

AHP 기반의 비즈니스 프로세스 관리시스템 평가 모형에 관한 연구 (A Study on Evaluation Model of Business Process Management Systems based on Analytical Hierarchy Process)

  • 유성열
    • 경영과정보연구
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    • 제31권4호
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    • pp.433-444
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    • 2012
  • 본 연구의 목적은 계층적 분석 기법을 이용한 비즈니스 프로세스 관리 시스템(BPMS)의 평가 모형을 개발하는 것이다. 이를 위해 전문가 집단으로부터 BPMS 솔루션 선택을 위한 기준을 도출하였으며, 이 기준들의 쌍대비교를 통해 AHP 기반의 분석 모형을 개발하였다. 분석모형을 통해 기업이 원하는 BPMS 솔루션을 선택할 수 있으며, 이는 기업의 프로세스 관리 능력 제고에 기여할 수 있을 것이다.

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특허 분석에 의한 발주자용 중.소규모 현장 비대면 건설사업관리 UI개발 (Development of Non-face-to-face Small and Medium-Sized Construction Project Management UI for Owners through Analyzes construction project management-related patents)

  • 강상찬;장명훈
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2020년도 가을 학술논문 발표대회
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    • pp.67-68
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    • 2020
  • Real-time information on the construction project required by the owner make the project's transparency and overall productivity will be improved. This study analyzes domestic and foreign patents for construction project management to identify trends in technology development, construct cloud-based construction project management system solution UI, and proposes functions and services for each module. Trend research is conducted through patent search, and the analysis is divided into quantitative analysis which means quantitative statistics and qualitative analysis which means the technical contents of each patent. The construction project management system solution is based on smart devices at small and medium-sized sites, allowing both the owner and the construction personnel to share information.

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NUMERICAL STUDY OF THE SERIES SOLUTION METHOD TO ANALYSIS OF VOLTERRA INTEGRO-DIFFERENTIAL EQUATIONS

  • ASIYA ANSARI;NAJMUDDIN AHMAD;ALI HASAN ALI
    • Journal of applied mathematics & informatics
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    • 제42권4호
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    • pp.899-913
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    • 2024
  • In this article, the Series Solution Method (SSM) is employed to solve the linear or non-linear Volterra integro-differential equations. Numerous examples have been presented to explain the numerical results, which is the comparison between the exact solution and the numerical solution, and it is found through the tables. The amount of error between the exact solution and the numerical solution is very small and almost nonexistent, and it is also illustrated through the graph how the exact solution completely applies to the numerical solution. This proves the accuracy of the method, which is the Series Solution Method (SSM) for solving the linear or non-linear Volterra integro-differential equations using Mathematica. Furthermore, this approach yields numerical results with remarkable accuracy, speed, and ease of use.