• Spatial Information Research
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• 제8권1호
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• pp.15-29
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• 2000

최근 급변하는 기술환경에서 향상된 정보서비스를 제공하기 위하여 지자체 또는 중앙정부차원에서 막대한 예산을 투입하여 GIS를 활용한 행정업무의 전산화를 추진하고 있거나 추진할 예정이다. 이러한 시점에서 예산의 중복투자 방지, 기 투자재원리 재활용을 극대화한다는 측면에서 행정업무 전산화의 특징을 살펴 행정업무 전산화사업에 있어서 GIS 응용 컴포넌트의 도입 가능성을 검토하고자한다. 본 연구서는 정보통신부 주관사업인 「개방형 GIS 컴포넌트 S/W 개발」 프로젝트에서 토지민원서비스 응용 컴포넌트를 개발하였다. GIS 응용컴포넌트는 OpenGIS의 OLE/COM 기반으로 만들어지며, 그 개발방법으로는 USD (Unified System Development), 시스템설계는 UML(Unified Modeling Language), 컴포넌트의 구현은 Visual C++를 이용하였다. 구현된 컴포넌트들은 Process Control, Map, Print, Statistics 컴포넌트들로서 Visual Basic 과 Delphi를 이용하여 구현된 컴포넌트를 검증하였다. 본 연구의 결과 컴포넌트의 개발이 지자체의 GIS 업무개발에 매우 유용하게 활용될 것으로 판단된다. 그러나 업무활용의 극대화를 위해서는 업무, 자료, 시스템의 표준화가먼저 선행되어야 할 것으로 보인다.

• 대한조선학회논문집
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• 제61권4호
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• pp.247-257
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• 2024

The present study suggests a data-driven multivariate identification method based on principal component analysis and shows an application to ship dynamics modeling in maneuver. A reduced order model of ship dynamics is built by linear combination of three principal components acquired from large angle zigzag maneuver test. For a given kinematic state with three variables, a proper span is found by least square method, therefore accompanying hydrodynamic force and moment is determined. Suggested dynamics model correctly estimates hydrodynamic force and moment, thus it showed good agreement in maneuver simulation with that of conventional ship dynamics model obtained by system identification of captive model tests.

• 한국컴퓨터정보학회논문지
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• 제11권6호
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• pp.27-33
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• 2006

본 논문에서는 컴포넌트 설계와 이를 기반으로 한 검색 프로토타입을 제시하였다. 재사용 단위로 단일 객체만을 대상으로 하게 되면 연관관계가 있는 객체간 상호작용을 이해하기 어렵고 관련성 유지가 어렵다. 따라서 본 논문에서는 재사용 단위로 클러스터링 컴포넌트 제안하였다. 이것은 객체간 관련성과 연관관계를 부여하여 사용자가 컴포넌트를 이해하고 검색할 수 있도록 하였다. 제안한 프로토타입 시스템은 애매한 검색 정의에 대하여 3가지 검색 환경을 제시하여 정확한 검색을 가능하게 하였다.

• 한국시뮬레이션학회논문지
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• 제14권3호
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• pp.91-100
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• 2005

Grid computing is widely applicable to various fields of industry including process control and manufacturing, military command and control, transportation management, and so on. In a viewpoint of application area, grid computing can be classified to three aspects that are computational grid, data grid and access grid. This paper focuses on computational grid which handles complex and large-scale computing problems. Computational grid is characterized by system dynamics which handles a variety of processors and jobs on continuous time. To solve problems of system complexity and reliability due to complex system dynamics, computational grid needs scheduling policies that allocate various jobs to proper processors and decide processing orders of allocated jobs. This paper proposes a service prediction-based job scheduling model and present its scheduling algorithm that is applicable for computational grid. The service prediction-based job scheduling model can minimize overall system execution time since the model predicts the next processing time of each processing component and distributes a job to a processing component with minimum processing time. This paper implements the job scheduling model on the DEVS modeling and simulation environment and evaluates its efficiency and reliability. Empirical results, which are compared to conventional scheduling policies, show the usefulness of service prediction-based job scheduling.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2001년도 춘계종합학술대회
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• pp.291-294
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• 2001

현재의 소프트웨어 아키텍처에 관한 연구는 컴포넌트 집합과 같은 소프트웨어 시스템을 구성하는 객체 또는 컴포넌트의 상호 동작 및 관련성을 보다 효과적으로 연결할 수 있는 다양한 기법이 제시되고 있다. 본 논문에서는 Java Beans에 기반을 둔 분산 시스템 환경에서 객체와 객체간에 관련성을 모델링하기 위해 컴포넌트, 연결자 및 컴포넌트 스키마로 구성된 구조화된 모델을 제시하고 구현한다. 특히 Java Beans에서 객체간의 관련성을 모델링하기 위한 연결자의 구성에 중점을 둔다. 본 연구에서 제시된 연결자 모델은 Java Beans기반 분산 시스템 환경에서 다양한 객체간의 의존성을 명확하게 표현하는데 효과적이며 분산되어 있는 컴포넌트를 정형화된 방법으로 통합할 수 있는 효과를 가진다.

• 천문학논총
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• 제32권1호
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• pp.59-61
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• 2017

The AKARI 9 and 18 µm diffuse maps reveal the all-sky distribution of the interstellar medium with relatively high spatial resolution of ~6". The zodiacal light is a dominant foreground component in the mid-infrared. Thus, removal of the zodiacal light is a critical issue to study low surface brightness Galactic diffuse emission. We carried out modeling of the zodiacal light based on the Kelsall model which is constructed from the COBE data. In the previous study, only a time-varying component of the zodiacal light brightness was used for determination of the model parameters. However, there remains a residual component of the zodiacal light around the ecliptic plane even after removal with the model. Therefore, instead of using a time-varying component, we use the absolute brightness of the zodiacal light and we find that the new model can better remove the residual component. As a result, the best-fit model parameters are changed from those in the previous study. We discuss the properties of the zodiacal light based on our new result.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2005년도 춘계학술대회 논문집
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• pp.29-33
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• 2005

Grid computing is widely applicable to various fields of industry including process control and manufacturing, military command and control, transportation management, and so on. In a viewpoint of application area, grid computing can be classified to three aspects that are computational grid, data grid and access grid. This paper focuses on computational grid which handles complex and large-scale computing problems. Computational grid is characterized by system dynamics which handles a variety of processors and jobs on continuous time. To solve problems of system complexity and reliability due to complex system dynamics, computational grid needs scheduling policies that allocate various jobs to proper processors and decide processing orders of allocated jobs. This paper proposes the service prediction-based job scheduling model and present its algorithm that is applicable for computational grid. The service prediction-based job scheduling model can minimize overall system execution time since the model predicts a processing time of each processing component and distributes a job to processing component with minimum processing time. This paper implements the job scheduling model on the DEVSJAVA modeling and simulation environment and simulates with a case study to evaluate its efficiency and reliability Empirical results, which are compared to the conventional scheduling policies such as the random scheduling and the round-robin scheduling, show the usefulness of service prediction-based job scheduling.

• 시스템엔지니어링학술지
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• 제12권2호
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• pp.69-80
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• 2016

The purpose of this study is to establish a component reutilization system in Nuclear Power Plant (NPP) by Object-Oriented Systems Engineering Method (OOSEM). Unified Modeling Language (UML) is mainly used for OOSEM. Operational Concept (OpsCon), Use cases, Structure Diagrams, and Behavior Diagrams are developed to analyze stakeholders needs, system requirements, logical architecture, and physical architecture. Based on the current decommissioning and purchasing system of the component, some activities from their systems were excepted and additional new activities were developed for a component reutilization system.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2000년도 춘계학술대회 논문집
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• pp.40-44
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• 2000

미리 제작되어 있는 소프트웨어 컴포넌트를 조립하여 소프트웨어 개발공정을 산업화하는 과정인 CBD(Component Based Development)는 Farmer 모델에 의하여 설계된 시스템을 실제로 구현하기 위하여 매우 적합한 개념이다. CBD개념의 도입을 위하여 Farmer 모델이 갖는 개체노드, 측면노드 및 KLB/OLB 등과 같은 객체들이 수행하는 기능에 대한 명세를 나타내는 인터페이스 명세 모델이 반드시 필요하게 된다. 본 논문에서는 Farmer 모델에 의하여 정의된 개념을 컴포넌트 인터페이스 메타모델에서의 개념으로 변형시키는 방안에 대하여 설명하고 있다.

• 제어로봇시스템학회논문지
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• 제17권11호
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• pp.1074-1081
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• 2011

As robotics systems are becoming more complex there is the need to promote component based robot development, where systems can be constructed as the composition and integration of reusable building block. One of the most important challenges facing component based robot development is safeguarding against software component failures and malfunctions. The health monitoring of the robot software is most fundamental factors not only to manage system at runtime but also to analysis information of software component in design phase of the robot application. And also as a lot of monitoring events are occurred during the execution of the robot software components, a simple data treatment and efficient memory management method is required. In this paper, we propose an efficient events monitoring and data management method by modeling robot software component and monitoring factors based on robot software framework. The monitoring factors, such as component execution runtime exception, Input/Output data, execution time, checkpoint-rollback are deduced and the detail monitoring events are defined. Furthermore, we define event record and monitor record pool suitable for robot software components and propose a efficient data management method. To verify the effectiveness and usefulness of the proposed approach, a monitoring module and user interface has been implemented using OPRoS robot software framework. The proposed monitoring module can be used as monitoring tool to analysis the software components in robot design phase and plugged into self-healing system to monitor the system health status at runtime in robot systems.