• Title/Summary/Keyword: 정형 모델

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Real-time requirement analysis of ROS-based autonomous driving software (ROS 기반의 자율주행 소프트웨어의 실시간 요구사항 분석)

  • Soo-Min Cho;Jin-Hyeon Kim;Inhye Kang
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.511-512
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    • 2023
  • 자율주행 소프트웨어의 안전성에 대한 요구가 높아짐에 따라 소프트웨어를 개발 시 정형 검증 기법을 적용하여 안전성을 확보하고자 하는 노력이 증가하고 있다. 본 논문에서는 ROS 기반의 자율주행 소프트웨어의 동작을 Timed Automata를 사용하여 모델링하고 그 정확성(실시간적 특성)을 모델체킹을 통해 정형 검증하는 방법을 제시한다. ROS 기반 응용 프로그램의 동작은 ROS가 제공하는 노드 간의 통신에 영향을 받기 때문에 자율주행 소프트웨어뿐 아니라 그 동작에 영향을 끼치는 ROS의 큐를 통한 통신을 통합한 모델을 제시한다. 또한 통합 모델에서 큐 크기, 타임아웃, 프로세스의 주기를 매개 변수로 주어 다양한 조합에 따른 실시간 요구사항의 만족 여부를 검증함으로써 ROS에서 매개 변수 설정 기준을 제시한다.

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Techniques to Transform Object-oriented Design into Component-based Design Formal Specifications using Formal Specifications (객체지향 설계에서 정형명세를 이용한 컴포넌트 설계로의 변환 기법)

  • 신숙경;이종국;김수동
    • Journal of KIISE:Software and Applications
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    • v.31 no.7
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    • pp.883-900
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    • 2004
  • As object-oriented development technology that increases extensibility and reusability has been widely spread, it can shorten development period and enhance quality by reusing verified object-oriented artifacts. Thus we can construct high quality component-based system at short time transforming component-based model using verified object-oriented artifacts. In this paper, we propose techniques to transform available object-oriented design model into component-based model using formal specification techniques in order to increase accuracy of transformation. First, formal specification language for component is defined for formal specification of component-based design. And, techniques for formal specification of object-oriented design using Object-Z, a formal specification language, is proposed in structural, functional, and dynamic aspects. Next, we present techniques for transforming formal specification of object-oriented design into formal specification of component-based design. Through a case study we apply the proposed transformation techniques and show the transformation process of object-oriented formal specification into component-based formal specification.

A Formal Model and a Design of Inference Engine for Context-Aware Mobile Computing (컨텍스트 인지 모바일 컴퓨팅을 위한 정형모델 및 추론 시스템 설계)

  • Kim, Moon Kwon;Kim, Soo Dong
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.4
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    • pp.239-250
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    • 2013
  • Context-aware mobile computing has become the primary approach to realize automatic, autonomous, and user-centric computing in the context of largely increasing the amount of mobile devices used that embed available sensors. However, designing an inference engine nonetheless requires the tasks of analyzing contexts, situations that can be inferred, etc. Moreover, a mobile device has limited resources and limited computation capability, which results in recognizing the common sense of its unsuitable environment for processing inference. Hence, we propose context-situation reasoning elements and their formal models in this paper, and we verify the formal models' applicability by applying them to an example. Finally, we design and implement an inference engine that realize the context-situation inference elements in computing environment, and we experiment an example by using the proposed inference engine to verify applicability and reusability of the inference engine.

Comparative Analysis of Forecasting Accuracy and Model Performance for Development of Coastal Wave Forecasting System Based on Unstructured Grid (비정형격자 기반 국지연안 파랑예측시스템 구축을 위한 예측정확도 및 모델성능 비교분석)

  • Min, Roh;Sang Myeong, Oh;Pil-Hun, Chang;Hyun-Suk, Kang;Hyung Suk, Kim
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.34 no.6
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    • pp.188-197
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    • 2022
  • We develop a coastal wave forecasting system by using the unstructured grid based on sea wind data of Global Data Assimilation and Prediction System. The verification is performed to examine the performance and accuracy of the wave model. Since the conventional grid has limited wave forecasting on complex coastlines and bathymetry, the unstructured grid system is applied for precise numerical simulation, and applicability for operational support is evaluated. Both grid systems show similar prediction trends in offshore and coastal areas, and the difference in prediction errors according to the grid system is not large. In addition, the applicability of the operational wave forecasting system is confirmed by dramatically reducing the model execution time of the unstructured grid under the same conditions.

An Evaluation Method for Security Policy Model Based on Common Criteria (공통평가기준에 의한 보안정책모델 평가방법)

  • 김상호;임춘성
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.13 no.5
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    • pp.57-67
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    • 2003
  • Security Policy Model is a structured representation using informal, semiformal or formal method of security policy to be enforced by TOE. It provides TOE to get an assurance to mitigate security flaws resulted from inconsistency between security functional requirements and functional specifications. Therefore, Security Policy Model has been required under an hish evaluation assurance level on an evaluation criteria such as ISO/IEC 15408(Common Criteria, CC). In this paper, we present an evaluation method for security policy model based on assurance requirements for security policy model in Common Criteria through an analysis of concepts, related researches and assurance requirements for security policy model.

A Study on the Value Evaluation of the Unstructured Data within Enterprise (기업내 비정형 데이터의 가치 평가 모델에 관한 연구)

  • Jang, Man-Chul;Kim, Jeong-Su;Kim, Jong-Hee;Kim, Jong-Bae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.367-369
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    • 2014
  • Digital data are mostly comprised of unstructured data such as text file, office file, image file, video file, and drawing file. The recent digital data being generated and used within enterprise are sharply increasing in quantity. Those digital data are becoming significant as digital assets, but the value of digital assets is not properly evaluated. Accordingly, this study will present a model to evaluate the value of unstructured data as digital assets within enterprise and will also present a differentiated management plan for unstructured data as assets.

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Fat Client-Based Abstraction Model of Unstructured Data for Context-Aware Service in Edge Computing Environment (에지 컴퓨팅 환경에서의 상황인지 서비스를 위한 팻 클라이언트 기반 비정형 데이터 추상화 방법)

  • Kim, Do Hyung;Mun, Jong Hyeok;Park, Yoo Sang;Choi, Jong Sun;Choi, Jae Young
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.3
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    • pp.59-70
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    • 2021
  • With the recent advancements in the Internet of Things, context-aware system that provides customized services become important to consider. The existing context-aware systems analyze data generated around the user and abstract the context information that expresses the state of situations. However, these datasets is mostly unstructured and have difficulty in processing with simple approaches. Therefore, providing context-aware services using the datasets should be managed in simplified method. One of examples that should be considered as the unstructured datasets is a deep learning application. Processes in deep learning applications have a strong coupling in a way of abstracting dataset from the acquisition to analysis phases, it has less flexible when the target analysis model or applications are modified in functional scalability. Therefore, an abstraction model that separates the phases and process the unstructured dataset for analysis is proposed. The proposed abstraction utilizes a description name Analysis Model Description Language(AMDL) to deploy the analysis phases by each fat client is a specifically designed instance for resource-oriented tasks in edge computing environments how to handle different analysis applications and its factors using the AMDL and Fat client profiles. The experiment shows functional scalability through examples of AMDL and Fat client profiles targeting a vehicle image recognition model for vehicle access control notification service, and conducts process-by-process monitoring for collection-preprocessing-analysis of unstructured data.

A Study on Parametric Modeling for the Analysis of Irregular Large Space Structures (비정형 대공간 구조물의 구조해석을 위한 파라메트릭 모델링)

  • Kim, Chee-Kyeong;Lee, Sang-Su;Choi, Hyun-Chul;Lee, Jae-Cheol
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2011.04a
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    • pp.18-21
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    • 2011
  • 비정형의 대공간 구조물은 대량의 부재가 규칙성을 가지고 공간상에서 반복되는 패턴을 가지는 특징이 있다. 이러한 특징은 기존의 구조해석 모델러로부터의 접근을 어렵게 하는 반면, 관계성과 규칙성을 논리적으로 모델링함으로써 최종 모델을 생성해내는 파라메트릭 모델링 방법에는 매우 적합하다. 본 연구에서는 이전의 연구를 통해 개발된 파라메트릭 구조해석 모델링 툴인 STRAUTO을 이용해 전형적인 비정형 대공간 구조물인 용인시민체육공원 주경기장의 모델링에 파라메트릭 모델링 기법을 직접 적용해 봄으로써 이 새로운 접근법의 적합성과 효율성을 검토해 보았다.

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Predicting Movie Evaluation using Deep LSTM (순환 신경망(LSTM) 이용한 영화 평점 예측)

  • Kang, Kyeongpil;Choo, Jaegul
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.591-594
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    • 2016
  • 소비자의 선호도 및 여론을 정량적인 방법으로 분석하기 위해 비정형 데이터의 분석은 필수적인 요소가 되고 있다. 하지만 비정형 데이터는 언어의 구조 및 모호성 등으로 인해 분석하기 어려운 형태이다. 따라서 본 연구는 최근 각광받고 있는 인공신경망, 특히 그 중에서도 순환 신경망의 한 모델인 Deep LSTM을 이용하여 비정형 데이터를 분석하고 이를 활용하여 어순 및 어감 등의 언어의 구조적 문제에도 효과적인 정략적 모델을 설계하여 학습하고 이를 기존의 인공신경망 모델과 비교 분석하고자 한다.

Design of Sentence Semantic Model for Cause-Effect Graph Automatic Generation from Natural Language Oriented Informal Requirement Specifications (비정형 요구사항으로부터 원인-결과 그래프 자동 발생을 위한 문장 의미 모델(Sentence Semantic Model) 설계)

  • Jang, Woo Sung;Jung, Se Jun;Kim, R.Young Chul
    • Annual Conference on Human and Language Technology
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    • 2020.10a
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    • pp.215-219
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    • 2020
  • 현재 한글 언어학 영역에서는 많은 언어 분석 연구가 수행되었다. 또한 소프트웨어공학의 요구공학 영역에서는 명료한 요구사항 정의와 분석이 필요하고, 비정형화된 요구사항 명세서로부터 테스트 케이스 추출이 매우 중요한 이슈이다. 즉, 자연어 기반의 요구사항 명세서로부터 원인-결과 그래프(Cause-Effect Graph)를 통한 의사 결정 테이블(Decision Table) 기반 테스트케이스(Test Case)를 자동 생성하는 방법이 거의 없다. 이런 문제를 해결하기 위해 '한글 언어 의미 분석 기법'을 '요구공학 영역'에 적용하는 방법이 필요하다. 본 논문은 비정형화된 요구사항으로부터 테스트케이스 생성하는 과정의 중간 단계인 요구사항에서 문장 의미 모델(Sentence Semantic Model)을 자동 생성하는 방법을 제안 한다. 이는 요구사항으로부터 생성된 원인-결과 그래프의 정확성을 검증할 수 있다.

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