• Title/Summary/Keyword: workflow model

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A Distributed, Open, Intelligent Product Data Management System (분산, 개방, 지능형 제품정보관리시스템)

  • 김영호;강석호;이수홍;유상봉
    • Korean Journal of Computational Design and Engineering
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    • v.4 no.3
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    • pp.210-223
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    • 1999
  • An efficient management of product information is critical to the enhancement of corporate competitiveness. Product information is often distributed in term of organization, geography, and time. With the rapid increase in the use of Internet or its associated Web and intranets, it has been accelerating to integrate the distributed information. In this research, a Distributed, Open, Intelligent Product data Management system, namely DOI-PDM, is developed. This system deals with product information following the STEP standard, and its operation is controlled by a Web-based workflow management system. CORBA is employed to ensure interoperability among distributed objects. It is intended to achieve openness by using various standards, such s STEP, KQML, SGML, and WfMC specifications. One major difficulty in managing it needs also be properly modified according to the dynamics. It however is very hard to have a prior anticipation to the dynamics. It however is very hard to have a prior anticipation to the modification requirements in practice. We introduce a process adaptation model and a use of intelligent agent technology. An agent is delegated to modify process definitions during run-time. A method of agent implementation and a proper communication scheme among te agents are proposed. Also developed in this research is a STEP-based content search system which can co-work with the agents by providing relevant product information that the agents require.

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The application of machine learning for the prognostics and health management of control element drive system

  • Oluwasegun, Adebena;Jung, Jae-Cheon
    • Nuclear Engineering and Technology
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    • v.52 no.10
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    • pp.2262-2273
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    • 2020
  • Digital twin technology can provide significant value for the prognostics and health management (PHM) of critical plant components by improving insight into system design and operating conditions. Digital twinning of systems can be utilized for anomaly detection, diagnosis and the estimation of the system's remaining useful life in order to optimize operations and maintenance processes in a nuclear plant. In this regard, a conceptual framework for the application of digital twin technology for the prognosis of Control Element Drive Mechanism (CEDM), and a data-driven approach to anomaly detection using coil current profile are presented in this study. Health management of plant components can capitalize on the data and signals that are already recorded as part of the monitored parameters of the plant's instrumentation and control systems. This work is focused on the development of machine learning algorithm and workflow for the analysis of the CEDM using the recorded coil current data. The workflow involves features extraction from the coil-current profile and consequently performing both clustering and classification algorithms. This approach provides an opportunity for health monitoring in support of condition-based predictive maintenance optimization and in the development of the CEDM digital twin model for improved plant safety and availability.

Best Practices in the Implementation of Research Infrastructure in the Academic Environment: Shortcomings and Revisions

  • Michal Lorenz;Ema Juranova;Michal Konecny;Hana Kubelkova;Veronika Wolfelova
    • International Journal of Knowledge Content Development & Technology
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    • v.13 no.4
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    • pp.95-117
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    • 2023
  • The Digitalia MUNI ARTS - a local node of the LINDAT/CLARIAH-CZ research infrastructure at the Faculty of Arts of Masaryk University constitutes a repository in the Islandora system. It is used for long-term preservation of research data together with their research environment in the form of digital platforms. We transfer the digital outputs of humanities scholars research to the repository according to a set plan, which is based on best practice recommendations for project management and digital curation. In this paper, we present how the results of interviews with platform developers and infrastructure stakeholders translate into the curation workflow, and a resulting model for migrating digital platforms to the repository. Reflecting on three types of problems we encountered during the implementation of platforms into the repository - communication problems, problems of external dependence, and management problems - we describe a modification of the migration process. We present six recommendations for repository administrators and curators in an academic setting - holding an introductory meeting with developers, researching significant and relevant theories of knowledge domain, consulting license experts, prioritizing requirements, and preparing handover protocol and progress reports.

The Workflow based Architecture Model for Component Assembly (컴포넌트 조립을 지원하는 워크플로우 기반의 아킥텍쳐 모델)

  • Seo, Hyo-Gil;Hong, Chan-Ki
    • Annual Conference of KIPS
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    • 2002.11c
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    • pp.2091-2094
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    • 2002
  • 컴포넌트 기반 소프트웨어 개발에 있어서 필수 요소라 할 수 있는 아키텍쳐의 중요성이 부각되면서 아키텍쳐 상에서 컴포넌트를 조립할 수 있는 다양한 아키텍쳐 모델이 제안되었다. 대부분의 아키텍쳐 모델들이 메시지를 이용하여 컴포넌트를 이용하는 방안을 제시하였다. 본 논문에서는 메시지를 이용하지 않고, 업무 흐름에 따라 컴포넌트를 직접 호출하는 방법으로 컴포넌트의 성능을 최대한 발휘하면서, 소프트웨어 개발의 시간과 비용을 줄일 수 있는 아키텍쳐 모델을 제안한다.

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Model of Workflow based Document Management CSCW Environment (CSCW환경에서의 워크플로우 기반 문서 관리 모델)

  • 정성진;이승근;김남용;왕창종
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10c
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    • pp.267-269
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    • 1998
  • 본 연구는 공동작업환경에서 워크플로우 개념을 도입한 문서 관리 모델을 제안하고 이를 시스템으로 설계하였다. 제안된 모델은 문서를 관계, 상태, 흐름의 세가지 측면에서 모델링 할 수 있으며, 오류를 자동 검출 할 수 있는 규칙들을 내장하고 있다. 이러한 모델을 기반으로 문서 관리 시스템을 설계하여, 모델이 구현 및 적용 가능함을 보였다. 제안한 모델과 시스템은 전자 결제 시스템이나 전자상거래 등의 문서의 절차적 처리가 필요한 응용들에서 사용될 수 있다.

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A Context Model for the Workflow in Ubiquitous Computing (워크플로우를 위한 컨텍스트 모델링)

  • 김은회;한주현;최재영
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10c
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    • pp.484-486
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    • 2004
  • 유비쿼터스 컴퓨팅 환경의 워크플로우에서 컨텍스트 정보를 표현하기 위한 요구사항을 분석하고 이러한 요구사항을 만족하기 위한 트리플 구조(주어 동사 목적어) 기반의 단순 컨텍스트 모델과 합성 컨텍스트 모델을 제안한다. 제안한 워크플로우를 위한 컨텍스트 모델은 표현력이 강력하고, 확장이 쉽고, 재사용이 가능하며 인공지능적인 처리에 용이한 정보 구조를 제공한다.

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The Large Scale Workflow Model Data Process Mechanism Using Memory Cashing Repository (메모리 캐싱 저장소를 이용한 대규모 워크플로우 모델 데이터 처리 메커니즘)

  • 박민재;심성수;정재우;안형진;김민홍;김광훈
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04a
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    • pp.686-688
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    • 2003
  • 워크플로우 시스템의 핵심을 이루고 있는 엔진의 효율성을 극대화 시키기 위하여, 워크플로우 시스템 엔진 안에서 운용되는 데이터의 관리는 매우 중요하다. 본 논문에서는 워크를로우 시스템에서 운용되는 각 시스템 데이터의 특징을 고찰 한 후, 일반적으로 사용하는 데이터 베이스 시스템 호출을 통해 데이터를 관리하는 방법을 보완 할 수 있는 방법을 제시한다. 그 방법으로 각 시스템 데이터가 가지고 있는 특성에 맞추어 기존의 데이터 베이스 호출을 통한 방법에 메모리에 데이터를 로드시켜 공용적으로 사용하는 방법을 더해 시스템 데이터를 관리하는 방법을 기술한다.

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Management Automation Technique for Maintaining Performance of Machine Learning-Based Power Grid Condition Prediction Model (기계학습 기반 전력망 상태예측 모델 성능 유지관리 자동화 기법)

  • Lee, Haesung;Lee, Byunsung;Moon, Sangun;Kim, Junhyuk;Lee, Heysun
    • KEPCO Journal on Electric Power and Energy
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    • v.6 no.4
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    • pp.413-418
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    • 2020
  • It is necessary to manage the prediction accuracy of the machine learning model to prevent the decrease in the performance of the grid network condition prediction model due to overfitting of the initial training data and to continuously utilize the prediction model in the field by maintaining the prediction accuracy. In this paper, we propose an automation technique for maintaining the performance of the model, which increases the accuracy and reliability of the prediction model by considering the characteristics of the power grid state data that constantly changes due to various factors, and enables quality maintenance at a level applicable to the field. The proposed technique modeled a series of tasks for maintaining the performance of the power grid condition prediction model through the application of the workflow management technology in the form of a workflow, and then automated it to make the work more efficient. In addition, the reliability of the performance result is secured by evaluating the performance of the prediction model taking into account both the degree of change in the statistical characteristics of the data and the level of generalization of the prediction, which has not been attempted in the existing technology. Through this, the accuracy of the prediction model is maintained at a certain level, and further new development of predictive models with excellent performance is possible. As a result, the proposed technique not only solves the problem of performance degradation of the predictive model, but also improves the field utilization of the condition prediction model in a complex power grid system.

BIM-GIS Interoperability for Highway Traffic Information Sharing

  • Hu, Xiaoqiang;Bao, Jieyi;Jiang, Yi;Li, Shuo
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1051-1058
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    • 2022
  • Information sharing is the main purpose of realizing interoperability between the application domains of Geographic Information System (GIS) and Building Information Modeling (BIM). This paper presents and describes the workflow of BIM-GIS interoperability for highway traffic information sharing. An innovative and automatic Dynamo process was presented to transfer the shapes and attributes of the shapefile from GIS to BIM. On the basis of the transformed BIM model, the detailed traffic data was added and expressed in the form of families and sheets to expand traffic information. Then, the shapes of the model were swept as solid geometries in the BIM environment applying Dynamo. The expanded BIM model was transferred back to the GIS system using the Industry Foundation Classes (IFC) scheme. The mutual communication between BIM and GIS was achieved based on Dynamo and IFC. This paper provides a convenient and feasible way to realize BIM-GIS interoperability for highway traffic information sharing according to the characteristics of highways in terms of graphic expression and model creation.

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(Performance Monitoring Techniques for EJB Applications) (EJB 어플리케이션의 성능 모니터링 기법)

  • 나학청;김수동
    • Journal of KIISE:Software and Applications
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    • v.30 no.5_6
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    • pp.529-539
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    • 2003
  • Due to the emersion of J2EE (Java 2, Enterprise Edition), many enterprises inside and outside of the country have been developing the enterprise applications appropriate to the J2EE model. With the help of the component model of Enterprise JavaBeans (EJB) which is the J2EE core technology, we can develop the distributed object applications quite simple. EJB application can be implemented by using the component-oriented object transaction middleware and the most applications utilize the distributed transaction. Due to these characteristics, EJB technology became popular and then the study for EJB based application has been done quite actively. However, the research of techniques for the performance monitoring during run-time of the EJB applications has not been done enough. In this paper, we propose the techniques for monitoring the performance of EJB Application on the run time. First, we explore the workflow for the EJB application service and classily the internal operation into several elements. The proposed techniques provide monitoring the performance elements between the classified elements. We can also monitor by extracting the performance information like state transition and process time of the bean which is related to the lifetime occurred during one workflow, and the resource utilization rate.