• Title/Summary/Keyword: 서브모델링

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Metadata Using XML Schema-Language (메타데이터를 이용한 XML 스키마언어)

  • Choi, Han-Yong;Lee, Don-Yang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.11a
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    • pp.417-420
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    • 2005
  • 소프트웨어 설계와 관련하여 OMG의 UML은 객체지향모델링에 대해서 표준화된 언어에 지원이 가능하여 널리 사용되고 있다. 그리고 마크업언어로는 일반적으로 DTD와 XML 스키마를 많이 사용하고 있다. 본 연구에서는 클레스내의 단위 엘리먼트의 속성을 부여할 수 있고 모델내의 클래스의 관계를 표현할 수 있는 수퍼클래스와 서브클래스에 대한 정확한 타입의 속성을 표현할 수 있도록 하였다. 그리고 엘리먼트에 대한 어트리뷰트를 표현하는데 다양하고 세부적인 데이터타입이 지원되도록 하여 XMI 메타모델 기반의 메타데이타 생성이 가능한 도구를 설계/구현 하였다.

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Extending of 105 for Network Intrusion simulations based on SSFNet (사이버 침입 탐지 시뮬레이션을 위한 SSFNet 기반 IDS의 확장)

  • 유관종;이은영;김도환;최경희
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10c
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    • pp.43-45
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    • 2004
  • 사이버침입을 수행하고 이에 따른 네트워크의 행동변화를 시뮬레이션 하기 위해서는 실제 네트워크 구조를 반영하는 네트워크를 모델링한 후 각 서브시스템의 특성을 네트워크 모델에 반영하여야 한다. 본 논문에서는 프로세스 기반 사건 중심 시뮬레이션 시스템인 SSFNet을 기반으로 사이버 침입 시뮬레이션에서 핵심 요소인 침입 탐지 시스템(IDS)을 구현하였다. 구현된 IDS는 룰 기반 오용 행위 탐지 방식의 네트워크 침입탐지 시스템이며, 다양한 시뮬레이션을 통해 구현된 모들의 성능 및 실세계 반영 모습을 제시하였다.

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Time-Scale Modification of Polyphonic Audio Signals Using Sinusoidal Modeling (정현파 모델링을 이용한 폴리포닉 오디오 신호의 시간축 변화)

  • 장호근;박주성
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.2
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    • pp.77-85
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    • 2001
  • This paper proposes a method of time-scale modification of polyphonic audio signals based on a sinusoidal model. The signals are modeled with sinusoidal component and noise component. A multiresolution filter bank is designed which splits the input signal into six octave-spaced subbands without aliasing and sinusoidal modeling is applied to each subband signal. To alleviate smearing of transients in time-scale modification a dynamic segmentation method is applied to subbands which determines the analysis-synthesis frame size adaptively to fit time-frequency characteristics of the subband signal. For extracting sinusoidal components and calculating their parameters matching pursuit algorithm is applied to each analysis frame of subband signal. In accordance with spectrum analysis a psychoacoustic model implementing the effect of frequency masking is incorporated with matching pursuit to provide a resonable stop condition of iteration and reduce the number of sinusoids. The noise component obtained by subtracting the synthesized signal with sinusoidal components from the original signal is modeled by line-segment model of short time spectrum envelope. For various polyphonic audio signals the result of simulation shows suggested sinusoidal modeling can synthesize original signal without loss of perceptual quality and do more robust and high quality time-scale modification for large scale factor because of representing transients without any perceptual loss.

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Agent-Based Modeling and Design of Water Reuse Network in Eco-Industrial Park (EIP) (생태산업단지에서 용수재이용 네트워크의 에이전트 기반 모델링 및 설계)

  • Kim, HyunJoo;Yoo, ChangKyoo;Ryu, Jun-Hyung;Lee, In-Beum
    • Korean Chemical Engineering Research
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    • v.46 no.2
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    • pp.369-375
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    • 2008
  • To achieve zero-emission, one of the main goals of an eco-industrial park (EIP), it is needed to develop an effective water exchange network. The network includes various subsystems and decision making processes, which make the modeling process extremely complicated. Agent-based modeling was used to simulate water exchange network in an EIP. Firm agents were created based on the behavior pattern of firms, and an agent-based model (ABM) was made with the agents, showing the growth of the exchange network. An existing steel and iron making industrial park was chosen as a case study, and the ABM model shows eco-efficient behavior with a decreased environmental cost. Water reuse network based on the ABM model results in 35% decrease of the fresh water supply and 50% reduction of the wastewater generation in EIP. A case study shows that agent-based model can be a powerful tool in modeling and designing complex eco-industrial parks, especially when a part of the system needs to be changed.

Data Modeling Method of NETCONF Protocol's Content Layer Applying VTD-XML (VTD-XML을 적용한 NETCONF 프로토콜 Content 계층의 데이터 모델링 기법)

  • Lee, Yang Min;Lee, Jae Kee
    • KIPS Transactions on Computer and Communication Systems
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    • v.4 no.11
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    • pp.383-390
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    • 2015
  • It is appropriate to use the NETCONF to monitor and manage today's complex networks that are composed of variety links and heterogeneous equipment. Since the first standard of the NETCONF are launched, there have been several revisions, but disadvantages of each layer capabilities is still present and the most typical disadvantage is XML document processing efficiency of the Content layer. In this paper, we perform data modeling by constructing a sub-tree based on the dependencies between Content layer data, and suggest method of extract efficiently data from XML by applying the extended VTD-XML technique for the XPath query. We performs experiment to compare NETCONF in proposed method to NETCONF in previous studies and NETCONF standard. we validate superiority of improved NETCONF in the paper. As experimental results, we verify that improved NETCONF is better than the other two NETCONF each 4% and 10% in terms of query processing rate, and faster than each 3.9 seconds and 10.4 seconds in terms of query processing speed.

Functional Requirements Analysis of Energy Management System (에너지 관리 시스템의 기능 요구사항 분석)

  • Han, Kwan-Hee;Hwang, Bo-Ram
    • Journal of Digital Convergence
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    • v.9 no.6
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    • pp.27-37
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    • 2011
  • Presented in this study is a top-down functional modeling procedure and the desired functionalities of energy management system (EMS). For the purpose of top-down modeling for EMS, energy management system is categorized into 7 subsystems based on common functionalities and energy management life cycle. After that, benchmarking analysis of commercially major EMS products is conducted. As a result of this analysis, desired functionalities of each subsystem of EMS are suggested in this study. This study is served as a useful guidance about essential functional requirements of energy management system to the practitioners involved in the development or introduction of EMS.

Multiscale Finite Element Analysis of Needle-Punched C/SiC Composites through Subcell Modeling (서브셀 모델링을 통한 니들 펀치 C/SiC 복합재료의 멀티스케일 유한요소해석)

  • Lim, Hyoung Jun;Choi, Ho-Il;Lee, Min-Jung;Yun, Gun Jin
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.1
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    • pp.51-58
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    • 2021
  • In this paper, a multi-scale finite element (FE) modeling methodology for three-dimensional (3D) needle-punched (NP) C/SiC with a complex microstructure is presented. The variations of the material properties induced by the needle-punching process and complex geometrical features could pose challenges when estimating the material behavior. For considering these features of composites, a 3D microscopic FE approach is introduced based on micro-CT technology to produce a 3D high fidelity FE model. The image processing techniques of micro-CT are utilized to generate discrete-gray images and reconstruct the high fidelity model. Furthermore, a subcell modeling technique is developed for the 3D NP C/SiC based on the high fidelity FE model to expand to the macro-scale structural problem. A numerical homogenization approach under periodic boundary conditions (PBCs) is employed to estimate the equivalent behavior of the high fidelity model and effective properties of subcell components, considering geometry continuity effects. For verification, proposed models compare excellently with experimental results for the mechanical behavior of tensile, shear, and bending under static loading conditions.

Frequently Occurred Information Extraction from a Collection of Labeled Trees (라벨 트리 데이터의 빈번하게 발생하는 정보 추출)

  • Paik, Ju-Ryon;Nam, Jung-Hyun;Ahn, Sung-Joon;Kim, Ung-Mo
    • Journal of Internet Computing and Services
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    • v.10 no.5
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    • pp.65-78
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    • 2009
  • The most commonly adopted approach to find valuable information from tree data is to extract frequently occurring subtree patterns from them. Because mining frequent tree patterns has a wide range of applications such as xml mining, web usage mining, bioinformatics, and network multicast routing, many algorithms have been recently proposed to find the patterns. However, existing tree mining algorithms suffer from several serious pitfalls in finding frequent tree patterns from massive tree datasets. Some of the major problems are due to (1) modeling data as hierarchical tree structure, (2) the computationally high cost of the candidate maintenance, (3) the repetitious input dataset scans, and (4) the high memory dependency. These problems stem from that most of these algorithms are based on the well-known apriori algorithm and have used anti-monotone property for candidate generation and frequency counting in their algorithms. To solve the problems, we base a pattern-growth approach rather than the apriori approach, and choose to extract maximal frequent subtree patterns instead of frequent subtree patterns. The proposed method not only gets rid of the process for infrequent subtrees pruning, but also totally eliminates the problem of generating candidate subtrees. Hence, it significantly improves the whole mining process.

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An Effective Method for Generating Images Using Genetic Algorithm (유전자 알고리즘을 이용한 효과적인 영상 생성 기법)

  • Cha, Joo Hyoung;Woo, Young Woon;Lee, Imgeun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.8
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    • pp.896-902
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    • 2019
  • In this paper, we proposed two methods to automatically generate color images similar to existing images using genetic algorithms. Experiments were performed on two different sizes($256{\times}256$, $512{\times}512$) of gray and color images using each of the proposed methods. Experimental results show that there are significant differences in the evolutionary performance of each technique in genetic modeling for image generation. In the results, evolving the whole image into sub-images evolves much more effective than modeling and evolving it into a single gene, and the generated images are much more sophisticated. Therefore, we could find that gene modeling, selection method, crossover method and mutation rate, should be carefully decided in order to generate an image similar to the existing image in the future, or to learn quickly and naturally to generate an image synthesized from different images.

A Study on the framework modeling of the traveler-type components based upon the National ITS Architecture (국가 ITS아키텍쳐기반의 여행자장치형 구성요소 프레임워크 모델링)

  • Choi, Jae-Hun;Kim, Young-Sup;Lee, Bong-Gyou
    • Journal of Korea Spatial Information System Society
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    • v.3 no.1 s.5
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    • pp.5-16
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    • 2001
  • ITS (Intelligent Transport System) has been developed into the full service leading to a new life style with the various services from private sector, which was intended to prevent the traffic accidents and to reduce the traffic jams. Since traveler-type components used in ITS services are not exclusively designed. but they can be one of the existing devices such as mobile phone, PDA, PC, KIOSK and etc. We need to consider that these devices are equipped to support ITS related services. Therefore, this study modeled, through UML, a framework of portable components based on the present national ITS architecture; the purpose being that private companies may be able to develop portable components with concepts of ITS services. The methodology of the modeling process we followed consisted of four steps: (1) analyzing service-related subsystems, (2) generalizing equipment-package and functional specifications. (3) describing information and function specific reference models, and (4) UML modeling of the reference model.

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