• Title/Summary/Keyword: 개발 지원 클래스

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Design and Implementation of PS-Block Timing Model Using PS-Block Structue (PS-Block 구조를 사용한 PS-Block Timing Model의 설계 및 구현)

  • Kim Yun-Kwan;Shin Won;Chang Chun-Hyon;Kim Tae-Wan
    • The KIPS Transactions:PartD
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    • v.13D no.3 s.106
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    • pp.399-404
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    • 2006
  • A real-time system is used for various systems from small embedded systems to distributed enterprise systems. Because it has a characteristic that provides a service on time, developers should make efforts to keep this property about time when developing real-time applications. As the result of research about real-time system indicates, TMO model supports various functions for time processing according to the real-time concept. And it guarantees response time which developers defined. So developers need a point of reference to define deadline and check the correctness of time. This paper proposes an improved PS-Block as an infrastructure of analysis tools for TMO to present a point of reference. There is a problem that the existing PS-Block has overhead caused by a policy making duplicated blocks. As such, this paper implements a PS-Block Timing Model to reduce the overhead due to block duplication, and defines a base class for searching in PS-Block. The PS-Block Timing Model, using an improved PS-Block structure, offers a point of reference of deadline and an infrastructure of execution time analysis according to the PS-Block configuration policy. Therefore, TMO developers can easily verify deadline of real-time methods, and improve reliability, and reduce development terms.

An Ontology - based Transformation Method from Feature Model to Class Model (온톨로지 기반 Feature 모델에서 Class 모델로의 변환 기법)

  • Kim, Dong-Ri;Song, Chee-Yang;Kang, Dong-Su;Baik, Doo-Kwon
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.5
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    • pp.53-67
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    • 2008
  • At present, for reuse of similar domains between feature model and class model. researches of transformation at the model level and of transformation using ontology between two models are being made. but consistent transformation through metamodel is not made. And the factors of modeling transformation targets are not sufficient, and especially, automatic transformation algorithm and supporting tools are not provided so reuse of domains between models is not activated. This paper proposes a method of transformation from feature model to class model using ontology on the metamodel. For this, it re-establishes the metamodel of feature model, class model, and ontology, and it defines the properties of modelling factors for each metamodel. Based on the properties, it defines the profiles of transformation rules between feature mndel and ontology, and between ontology and class model, using set theory and propositional calculus. For automation of the transformation, it creates transformation algorithm and supporting tools. Using the proposed transformation rules and tools, real application is made through Electronic Approval System. Through this, it is possible to transform from the existing constructed feature model to the class model and to use it again for a different development method. Especially, it is Possible to remove ambiguity of semantic transformation using ontology, and automation of transformation maintains consistence between models.

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Design of the Advanced Mobile Teletraffic Model and Object Classes for Mobile Simulator (이동통신 시뮬레이터를 위한 개선된 텔레트래픽 모델과 객체 클래스 설계)

  • Yoon, Young-Hyun;Kim, Sang-Bok;Lee, Jeong-Bae;Lee, Sung-Chul
    • The KIPS Transactions:PartC
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    • v.11C no.4
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    • pp.509-518
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    • 2004
  • Many simulators have been developed and are being used for the complex and various mobile communication service environments. Each of these simulators has its own teletraffic model that consists of traffic source model and network traffic model. In this paper, network traffic model and traffic source model, which are based on the data gathered in real environment, are defined in order to get more accurate simulation results in the mobile communication simulation for the urban region. The network traffic model suggested in this paper reflects the hourly call generation rate and call duration time by analyzing the data collected from actually installed base station by the time and place, and the traffic source model includes the delivery share ratio and average speed information in the region where the base station is installed. This paper defined and designed Mobile Host object that reflects the suggested traffic source model, and Call Generator object that reflects the network traffic model, and other objects support both objects. Using the teletraffic model suggested in the paper, user mobility similar to real service environment and traffic characteristics can be reflected on the simulation, and also more accurate simulation results can be got through that. In addition, by using object-oriented techniques, new service feature or environment can be easily added or changed so that the developed mobile communication simulator can reflect the real service environment all the time.

A Classification and Extraction Method of Object Structure Patterns for Framework Hotspot Testing (프레임워크 가변부위 시험을 위한 객체 구조 패턴의 분류 및 추출 방법)

  • Kim, Jang-Rae;Jeon, Tae-Woong
    • Journal of KIISE:Software and Applications
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    • v.29 no.7
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    • pp.465-475
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    • 2002
  • An object-oriented framework supports efficient component-based software development by providing a flexible architecture that can be decomposed into easily modifiable and composable classes. Object-oriented frameworks require thorough testing as they are intended to be reused repeatedly In developing numerous applications. Furthermore, additional testing is needed each time the framework is modified and extended for reuse. To test a framework, it must be instantiated into a complete, executable system. It is, however, practically impossible to test a framework exhaustively against all kinds of framework instantiations, as possible systems into which a framework can be configured are infinitely diverse. If we can classify possible configurations of a framework into a finite number of groups so that all configurations of a group have the same structural or behavioral characteristics, we can effectively cover all significant test cases for the framework testing by choosing a representative configuration from each group. This paper proposes a systematic method of classifying object structures of a framework hotspot and extracting structural test patterns from them. This paper also presents how we can select an instance of object structure from each extracted test pattern for use in the frameworks hotspot testing. This method is useful for selection of optimal test cases and systematic construction of executable test target.

Implementation of a Function-Based Design Document Navigation Tool for UML Analysis (UML 분석을 위한 함수 기반 설계내역 항해기의 구현)

  • Kim, Won-Jung;Bae, Myung-Nam;Yang, Jae-Dong
    • Journal of KIISE:Software and Applications
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    • v.29 no.8
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    • pp.543-554
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    • 2002
  • System developers create a lot of design documents by various case tools. It is necessary to have the tools for facilitating the analysis of the documents. These tools can be used to understand and verify the whole process of a system, by defining relationships among the documents and providing free navigation methods. In this paper, we develop a navigation tool that enables the developers to systematically analyze the system by capturing duplication, instance, and transition relationships between the documents. Different from the navigation facilities of the other UML design tools, this tool makes it possible to navigate design elements in design documents such as sequence diagrams, state diagrams and class diagrams. In other words, it can be used to systematically capture and verify both the static structure and the dynamic behavior of the system by keeping track of such elements. To provide such a facility, 1) we define three relationships: duplication, instance, and transition, 2) assign relation to the related design elements according to the predefined way. and then 3) present a set of functions for navigating related design elements.

Dynamic QoS Support Protocol (동적인 네트워크 QoS 설비 방안)

  • 노희경;문새롬;이미정
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.04a
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    • pp.265-267
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    • 2002
  • 인터넷에서 멀티미디어 응용들이 증가함에 따라 서비스 품질(QoS: Quality of Service)을 보장해 줄 수 있는 여러 가지 방안이 제안되어 왔는데, 일반적으로 이들 방안은 확장성과 종단간 QoS 보장 간에 상호 모순이 발생하는 경향을 가지고 있다. 본 논문에서는 이와 같은 상호 모순을 피할 수 있는 QoS 지원 방안으로서 DQSP(Dynamic QoS Support Protocol)를 제안한다. DQSP는 도메인 내에서의 자원 예약과 연결 수락 제어 메커니즘을 정의한다. DQSP는 링크 자원을 각 에지 라우터로부터의 트래픽 클래스별로 동적으로 할당하고 에지 라이투가 자신에게 할당된 링크 자원에 관한 정보를 유지하도록 한다. DQSP는 목적지로의 연결 수락 제어를 위한 QoS 신호 프로토콜이 필요 없이 에지 라우터에서 매 사용자 플로우별로 직접적으로 연결 수락 결정을 내리므로 확장성 문제 및 코어 라우터의 복잡한 기능 요구 사항 문제를 해결한다. 또한 UQSP는 에지 라우터가 트래픽 부하에 따라 자신에게 할당되어 있는 자원을 반납하거나 추가적인 자원을 제공받을 수 있도록 해 자원 오버 프로비져닝으로 인해 발생할 수 있는 비효율적인 자원 활용 문제를 해결한다. 또한 DQSP는 경로 재계산을 수행하여 라우팅을 조정해 나감으로써 효율적일 네트워크 자원 활용이 가능하다. 시뮬레이션을 통하여 DQSP와 기존의 자원 할당 및 공유 방식들을 비교한 결과 DQSP가 시그널링과 상태 정보 유지를 위한 오버헤드 면에서 기존의 종단간 QoS 보장을 제공하는 구조인 IntServ에서와 같은 확장성 문제를 발생시키지 않으면서도 효율적으로 네트워크 자원을 활용할 수 있음을 확인할 수 있었다.재 상용화 되어있는 Bellcore 의 S/KEY 시스템과의 비교를 수행하였다. 분석에서는 제품의 효율성뿐만 아니라 보안성을 중요하게 생각하였으며, 앞으로 보안 관련 소프트웨어 개발에 사용될 수 있는 도구들이 가이드 라인에 대한 정보를 제공한다.용할 수 있는지 세부 설계를 제시한다.다.으로서 hemicellulose구조가 polyuronic acid의 형태인 것으로 사료된다. 추출획분의 구성단당은 여러 곡물연구의 보고와 유사하게 glucose, arabinose, xylose 함량이 대체로 높게 나타났다. 점미가 수가용성분에서 goucose대비 용출함량이 고르게 나타나는 경향을 보였고 흑미는 알칼리가용분에서 glucose가 상당량(0.68%) 포함되고 있음을 보여주었고 arabinose(0.68%), xylose(0.05%)도 다른 종류에 비해서 다량 함유한 것으로 나타났다. 흑미는 총식이섬유 함량이 높고 pectic substances, hemicellulose, uronic acid 함량이 높아서 콜레스테롤 저하 등의 효과가 기대되며 고섬유식품으로서 조리 특성 연구가 필요한 것으로 사료된다.리하였다. 얻어진 소견(所見)은 다음과 같았다. 1. 모년령(母年齡), 임신회수(姙娠回數), 임신기간(姙娠其間), 출산시체중등(出産時體重等)의 제요인(諸要因)은 주산기사망(周産基死亡)에 대(對)하여 통계적(統計的)으로 유의(有意)한 영향을 미치고 있어 $25{\sim}29$세(歲)의 연령군에서, 2번째 임신과 2번째의 출산에서 그리고 만삭의 임신 기간에, 출산시체중(出産時體重) $3.50{\sim}3.99kg$사이의 아이에서 그 주산기사망률(周産基死亡率)이 각각

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A Study on Solution of Anomaly due to Integrated of Inheritance and Concurrency (상속성과 병행성에서 오는 상속변칙 문제 해결에 관한 연구)

  • Park, Young-Ok;Moon, Jeong-Hwan;Lee, Chiol-Seong;Hong, Seong-Pyo;Lee, Ho-Young;Lee, Joon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.05a
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    • pp.485-489
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    • 2002
  • The concepts from OOP have been integrated in a concurrency, leading to the emergence of concurrent OOP. Concurrency of concurrent OOP and various model technique of OOP language are integrated had been proposed. Concurrent programming and OOP technique unite that can gain various kinds advantage to develop concurrency application program. There have been a number of models proposed for integrating concurrency and OOP However, concurrency and inheritance are two paradigms which are difficult to combine in a suitable manner. The inheritance anomaly is the conclicted phenomena, which occurs only when concurrency is integrated with inheritance. The inheritance anoay is referred to as the serious difficulty in integrating inheritance and concurrency in a simple and efficient manner within a concurrent OOP. Concurrency and inheritance with integrated that Drop reusability of object remarkably and require re-justice of code that is inherited in subclass. So concurrency and inheritance with integrated Collision that happen between two special qualitys or Interference phenomenon is inheritance anomaly. Effect of inheritance anomaly minimum Much study findings announced about access method to improve code reusability. Wish to approach in paper that is division by synchronization code and method code to solve interference problem between and concurrency.

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An Integration of Legacy Nuclear Simulation Code into HLA Federation using Shared Memory (공유메모리를 사용한 레거시 원자력 시뮬레이션 코드의 HLA 패더레이션으로의 통합)

  • Park Geun-Ok;Han Kwan-Ho;Lim Jong-Tae
    • The KIPS Transactions:PartD
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    • v.12D no.5 s.101
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    • pp.797-806
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    • 2005
  • The objective of the In-h(High Level Architecture) have recommended by DoD(Department of Defense) is to facilitate interoperability among simulations and to promote reuse of their components. There are many legacy simulation softwares developed before the HLA becomes simulation standard. The integration of legacy simulations into federations using the HLA is an important research topic in M&S(Modeling and Simulation) area. Legacy simulation softwares of the mission critical industry such as nuclear and aerospace are generally use Fortran language. However, the reuse of those is not easy because the HLA is not support Fortran language. This paper suggests a integration method which minimizes the modification of legacy simulation software and migrates the legacy simulation software to HLA federation. Each federate participating in federation have the separated executables that communicate via a shared memory created at run-time. Two types of shared memory blocks are used for publication and subscription. Declaration block for global variables used in legacy simulation software is separated for publication and subscription and then mapped as classes of objects and interactions for the HLA FOM design. To validate the suggested method, we approached the HLA integration of legacy nuclear simulation code being used in plant design and to observe the integration results, we used the FMT(Federation Management Tool). The diagnostic information which the FTM displays showed that our method can be successfully and effectively used for a HLA federation.

Research on ITB Contract Terms Classification Model for Risk Management in EPC Projects: Deep Learning-Based PLM Ensemble Techniques (EPC 프로젝트의 위험 관리를 위한 ITB 문서 조항 분류 모델 연구: 딥러닝 기반 PLM 앙상블 기법 활용)

  • Hyunsang Lee;Wonseok Lee;Bogeun Jo;Heejun Lee;Sangjin Oh;Sangwoo You;Maru Nam;Hyunsik Lee
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.11
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    • pp.471-480
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    • 2023
  • The Korean construction order volume in South Korea grew significantly from 91.3 trillion won in public orders in 2013 to a total of 212 trillion won in 2021, particularly in the private sector. As the size of the domestic and overseas markets grew, the scale and complexity of EPC (Engineering, Procurement, Construction) projects increased, and risk management of project management and ITB (Invitation to Bid) documents became a critical issue. The time granted to actual construction companies in the bidding process following the EPC project award is not only limited, but also extremely challenging to review all the risk terms in the ITB document due to manpower and cost issues. Previous research attempted to categorize the risk terms in EPC contract documents and detect them based on AI, but there were limitations to practical use due to problems related to data, such as the limit of labeled data utilization and class imbalance. Therefore, this study aims to develop an AI model that can categorize the contract terms based on the FIDIC Yellow 2017(Federation Internationale Des Ingenieurs-Conseils Contract terms) standard in detail, rather than defining and classifying risk terms like previous research. A multi-text classification function is necessary because the contract terms that need to be reviewed in detail may vary depending on the scale and type of the project. To enhance the performance of the multi-text classification model, we developed the ELECTRA PLM (Pre-trained Language Model) capable of efficiently learning the context of text data from the pre-training stage, and conducted a four-step experiment to validate the performance of the model. As a result, the ensemble version of the self-developed ITB-ELECTRA model and Legal-BERT achieved the best performance with a weighted average F1-Score of 76% in the classification of 57 contract terms.

Multi-classification of Osteoporosis Grading Stages Using Abdominal Computed Tomography with Clinical Variables : Application of Deep Learning with a Convolutional Neural Network (멀티 모달리티 데이터 활용을 통한 골다공증 단계 다중 분류 시스템 개발: 합성곱 신경망 기반의 딥러닝 적용)

  • Tae Jun Ha;Hee Sang Kim;Seong Uk Kang;DooHee Lee;Woo Jin Kim;Ki Won Moon;Hyun-Soo Choi;Jeong Hyun Kim;Yoon Kim;So Hyeon Bak;Sang Won Park
    • Journal of the Korean Society of Radiology
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    • v.18 no.3
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    • pp.187-201
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    • 2024
  • Osteoporosis is a major health issue globally, often remaining undetected until a fracture occurs. To facilitate early detection, deep learning (DL) models were developed to classify osteoporosis using abdominal computed tomography (CT) scans. This study was conducted using retrospectively collected data from 3,012 contrast-enhanced abdominal CT scans. The DL models developed in this study were constructed for using image data, demographic/clinical information, and multi-modality data, respectively. Patients were categorized into the normal, osteopenia, and osteoporosis groups based on their T-scores, obtained from dual-energy X-ray absorptiometry, into normal, osteopenia, and osteoporosis groups. The models showed high accuracy and effectiveness, with the combined data model performing the best, achieving an area under the receiver operating characteristic curve of 0.94 and an accuracy of 0.80. The image-based model also performed well, while the demographic data model had lower accuracy and effectiveness. In addition, the DL model was interpreted by gradient-weighted class activation mapping (Grad-CAM) to highlight clinically relevant features in the images, revealing the femoral neck as a common site for fractures. The study shows that DL can accurately identify osteoporosis stages from clinical data, indicating the potential of abdominal CT scans in early osteoporosis detection and reducing fracture risks with prompt treatment.