• Title/Summary/Keyword: 객체모델링

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Dynamic Impact Analysis Method using Use-case and UML Models on Object-oriented Analysis (객체지향 분석의 유스케이스와 UML 모델을 이용한 동적 영향 분석 방법)

  • Lee, Chan;Youn, Cheong
    • Journal of KIISE
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    • v.43 no.10
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    • pp.1104-1114
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    • 2016
  • Software is continuously changing during development and after development. When a change is required, it is difficult to precisely grasp the scope of impact intuitively. A systematic method is needed to accomplish the required change. The purpose of impact analysis on software change is to avoid missing any information by recognizing the ripple effect that the change might cause. This paper proposes a dynamic method that can easily identify the scope of change request by using the association between use-case scenarios and artifacts of UML modeling in object-oriented development environment. By using this approach, the scope of impact that the change might have on other components such as class diagram and sequence diagram in use-case scenarios can be identified by forward tracing. In addition, analysis of influence of possible further changes due to changes in other components can be identified iteratively through backward tracing. The results of this paper are not limited to impact analysis on artifacts and change type. They can also be used as basic guidelines during impact analysis for various change requests.

A Study on Human-Robot Interface based on Imitative Learning using Computational Model of Mirror Neuron System (Mirror Neuron System 계산 모델을 이용한 모방학습 기반 인간-로봇 인터페이스에 관한 연구)

  • Ko, Kwang-Enu;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.6
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    • pp.565-570
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    • 2013
  • The mirror neuron regions which are distributed in cortical area handled a functionality of intention recognition on the basis of imitative learning of an observed action which is acquired from visual-information of a goal-directed action. In this paper an automated intention recognition system is proposed by applying computational model of mirror neuron system to the human-robot interaction system. The computational model of mirror neuron system is designed by using dynamic neural networks which have model input which includes sequential feature vector set from the behaviors from the target object and actor and produce results as a form of motor data which can be used to perform the corresponding intentional action through the imitative learning and estimation procedures of the proposed computational model. The intention recognition framework is designed by a system which has a model input from KINECT sensor and has a model output by calculating the corresponding motor data within a virtual robot simulation environment on the basis of intention-related scenario with the limited experimental space and specified target object.

Development of a Fall Detection System Using Fish-eye Lens Camera (어안 렌즈 카메라 영상을 이용한 기절동작 인식)

  • So, In-Mi;Han, Dae-Kyung;Kang, Sun-Kyung;Kim, Young-Un;Jong, Sung-tae
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.4
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    • pp.97-103
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    • 2008
  • This study is to present a fainting motion recognizing method by using fish-eye lens images to sense emergency situations. The camera with fish-eye lens located at the center of the ceiling of the living room sends images, and then the foreground pixels are extracted by means of the adaptive background modeling method based on the Gaussian complex model, which is followed by tracing of outer points in the foreground pixel area and the elliptical mapping. During the elliptical tracing, the fish-eye lens images are converted to fluoroscope images. the size and location changes, and moving speed information are extracted to judge whether the movement, pause, and motion are similar to fainting motion. The results show that compared to using fish-eye lens image, extraction of the size and location changes. and moving speed by means of the conversed fluoroscope images has good recognition rates.

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Design and Implementation of Network Management System for Integrated Management of IP based Subscriber Networks (IP기반 가입자망 통합관리를 위한 망관리 시스템의 설계 및 구현)

  • 윤병수;하은주;김채영
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.41 no.3
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    • pp.17-25
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    • 2004
  • Internet Service Subscribers Network has a new role of providing various multimedia services to the home. However, there exist several types of distributed subscriber networks using Asymmetric Digital Subscriber Line (ADSL), Very high-bit rate Digital Subscriber Line (VDSL), and Data Over Cable Service Interface Specifications (DOCSIS). The efficient and concentrated network management of those several distributed subscribers networks with resources requires the general network information model, which has and conceptional managed objects independent of type of network and its equipment to manage the integrated subscriber network. This paper presents the general Internet subscribers network model of the managed object to manage that network in the form of integrated hierarchy. This paper adopts the object-oriented development methodology with UML and designs and implements the integrated subscribers NMS of cable data network and VDSL network as examples of the subscriber networks.

A Study on The Correlation Analysis Between IFC and CityGML for Efficient Utilization of Construction Data and GIS Data (건설데이터와 GIS데이터의 효율적 활용을 위한 IFC와 CityGML 간의 연관성 분석 연구)

  • Hwang, Jung Rae;Kang, Tae Wook;Hong, Chang Hee
    • Spatial Information Research
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    • v.20 no.5
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    • pp.49-56
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    • 2012
  • Recently, various researches have been attempted to link or integrate BIM and GIS. In particular, some of the researches were progressed to convert the data model between the BIM standard model IFC and the GIS standard model CityGML. However, it is hard to utilize the previous research results yet because characteristics and domains of between two data models are very different, In order to obtain the correlation between BIM and GIS, in this research, we analyzed the characteristics between IFC and CityGML objects of each LOD, And, we analyzed the correlation of IFC and CityGML by performing mapping between IFC and CityGML objects from view point of building with these characteristics. In this research, based on these correlation analysis results, we proposed the efficient interrelation plan between IFC and CityGML.

Plan of BIM-based Quantity Take-off for Nuclear Power Plant Decommissioning (BIM을 활용한 원전 해체 물량산출 방안)

  • Jung, In-Su;Won, Ji-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.9
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    • pp.6297-6304
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    • 2015
  • Nuclear power plant decommissioning has attracted attention according to the shutdown decision of Kori 1 which is Korea's first nuclear power plant. Nuclear power plant decommissioning is the one who never experienced ever in our country. So, its process is difficult and time-consuming. In addition, it is difficult to determine the decommissioning quantity. This study proposed the plan that can be used in quantity take-off for nuclear power plant decommissioning using BIM technology being utilized in recent construction industry. As a result, we suggested the method of BIM-based quantity take-off such as the selection decommissioning method and process, setting up of BIM modeling environment, establishment of OBS & WBS, integrated BIM modeling, the definition of quantity property. The proposed plan can be utilized usefully from when permanent stopping nuclear power plant occurs intensively. Furthermore, the overseas nuclear power plant decommissioning project order also are expected through technology securement based on this plan.

Knowledge Structures to Simulate the Spatial Behavior of Intelligent Virtual Humans (지능형 가상인간의 공간적 행동을 모사하기 위한 지식구조)

  • Hong, Seung-Wan;Park, Jong-Hee
    • The Journal of the Korea Contents Association
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    • v.20 no.12
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    • pp.230-240
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    • 2020
  • To develop a virtual world-based immersive tutoring system, we would like to develop a simulation in the spatial aspect to maximize the diversity and realism of the situation. This implementation requires the modeling of virtual space as well as the knowledge and intelligent thinking functions of virtual humans. First, information structures are needed to simulate the hierarchical and multifaceted composition of space and the corresponding knowledge of virtual humans. Specifically, four structures for 2.5D spatial distribution expression, complex spatial relationship expression, object expression, and temporal and spatial representation of events are developed respectively. It then uses these expressed knowledge to develop the spatial thinking function of virtual humans needed to make spatial movement. In general, events have a chain effect on adjacent or connected objects through force, resulting in a variety of situations and reflected in the planning of the next action by the virtual humans involved. For this purpose, the development of events according to historical trends is recorded on the representation structure of time and space. It embodies typical events to demonstrate the feasibility of independent behavior in complex spaces among virtual people.

Mental Healthcare Digital Twin Technology for Risk Prediction and Management (정신건강 위험 예측 및 관리를 위한 멘탈 헬스케어 디지털 트윈 기술 연구)

  • SeMo Yang;KangYoon Lee
    • The Journal of Bigdata
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    • v.7 no.1
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    • pp.29-36
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    • 2022
  • The prevalence of stress and depression among emotional workers is increasing due to the rapid increase in emotional labor and service workers. However, the current mental health management of emotional workers is difficult to consider the emotional response at the time of stress situations, and the existing mental health management is limited because the individual's base state is not reflected. In this study, we present mental healthcare digital twin solution technology, a personalized stress risk management solution. For mental health risk management due to emotional labor, a solution simulation is performed to accurately predict stress risk through synchronization/modeling of dynamic objects in virtual space by extracting individual stress risk factors such as emotional/physical response and environment into various modalities. It provides a mental healthcare digital twin solution for predicting personalized mental health risks that can be configured with modalities and objects tailored to the environment of emotional workers and improved according to user feedback.

Framework and Tools for Rapid M&S Component Development and Reusability (M&S 컴포넌트의 신속 개발과 재사용을 위한 프레임워크 및 도구 개발)

  • Lee, Yong Heon;Cho, Kyu Tae;Lee, Seung Young;Hwang, Keun Chul;Kim, Sae Hwan
    • Journal of the Korea Society for Simulation
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    • v.22 no.4
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    • pp.29-38
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    • 2013
  • Modeling and simulation technology is being used in various fields. Especially in the field of military, Simulation-Based Acquisition (SBA) is recognized as a essential policy. To effectively carry out SBA, modeling and simulation techniques should be applied in the whole life-cycle for the weapon system development, and the framework and tools which can help the rapid component development and reusability are needed. In this research, we use the simulation framework based on modeling formalism for enhancement of reusability and a GUI-based modeling environment for rapid M&S component development. The Proposed framework can act as plug-in components on the basis of XML-based object model, so that the flexible design is possible for the change of the model and simulation structure. In addition, our methods are effective to implement the functions for supporting simulation such as the model data logging and communication with external systems. In this paper, we describe an architecture and functions for the framework and tools.

Implementation of Selective Mapping Billboard for Production of Image-based 3D Virtual Reality (실사기반의 3차원 가상현실 제작을 위한 선택적 맵핑 방식의 빌보드 구현)

  • Ahn, Eun-Young;Kim, Jae-Won
    • Journal of Korea Multimedia Society
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    • v.13 no.4
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    • pp.601-608
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    • 2010
  • This investigation proposes a new method to overcome disadvantages of panorama VR that is oriented toward spacial information and Object VR that is oriented toward object itself and consequently to make 3D virtual reality (VR) contents efficiently by using image based approach. 3D VR contents provide satisfactory qualities to users but 3D modeling is complex and elaborative and requires high cost. So, this paper aims at reducing tremendous efforts for making 3D VR by substituting 3D modeling with 'advanced Billboard'(we call it Smart Billboard). Smart Billboard has a mechanism for selecting an adequate mapping image that is observable at each user viewpoint and carry on texture mapping into the Billboard. And it is validated with the practical embodiments of a virtual museum in which the exhibitions are prepared by Smart Billboard.