• Journal of Information Processing Systems
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• 제10권4호
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• pp.581-588
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• 2014

To facilitate the implementation of a wide variety of context-aware applications based on mobile devices, general-purpose context-aware framework that applications can use by calling is needed. The context-aware framework is a middleware that performs the sensing, reasoning, and retrieving based on the knowledge base. The knowledge base must systematically represent the information required on the behavior of the context-aware framework, such as context information and reasoning information. It must also provide functions for storage and retrieval. To date, previous research on the representation of the context information have been carried out, but studies on the unified representation of the knowledge base has seen little progress. This study defines the knowledge base as the unified context information, and proposes the UniOWL, which can do a good job of representing it. UniOWL is based on OWL and represents the information that is necessary for the operation of the context-aware framework. Therefore, UniOWL greatly facilitates the implementation of the knowledge base on a context-aware framework.

• 환경정책연구
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• 제14권4호
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• pp.3-21
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• 2015

Post-2020 합의를 위해 주요 이슈로 부상하는 MRV(Measurement, Reporting, Verification)에 대한 국제적 상황을 분석하고, 선제적 효과적으로 대응할 수 있는 우리나라 전략을 수립 제시하는 것이 필요한 시점이다. 이에, MRV 체계 대안으로서 1) 이원화(Dual) MRV, 2) 통합(Unified) MRV를 분석 검토하였다. 분석 결과, 국가별 상황 및 능력에 따라 차별화하여 유연성을 부여하는 통합 MRV 체계가 가장 합리적이고, 실현 가능한 대안으로 판단되었다. 통합 MRV 체계 수립을 위해서 첫째, 우리 정부 내부적으로 통합 MRV 체계에 대한 합의, 둘째, 통합 MRV의 수립형태 및 적용 방안에 대해 예측 가능토록 방법과 내용의 구체화, 셋째, 개도국이 납득할 수 있도록 MRV 수준의 다양성 보장 방안에 대한 청사진(유연성에 대한 구체적 계획) 제시, 넷째, 개도국의 MRV 수준 제고를 위해 역량 배양을 위한 구체적 지원 방안 제시, 다섯째, 통합 MRV 도입을 위한 로드맵 개발 제시가 필요하다. 이를 추진하는 과정에서 우리나라는 선진국과 개도국 간 합리적 조정자로서 신기후체제가 합의에 도달하는 데 주도적 역할을 담당해야 한다.

• Communications for Statistical Applications and Methods
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• 제16권6호
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• pp.1005-1012
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• 2009

The area under the curve(AUC) is commonly used as a measure of the receiver operating characteristic(ROC) curve which displays the performance of a set of binary classifiers for all feasible ratios of the costs associated with true positive rate(TPR) and false positive rate(FPR). In the bipartite ranking problem where one has to compare two different observations and decide which one is "better", the AUC measures the quantity that ranking score of a randomly chosen sample in one class is larger than that of a randomly chosen sample in the other class and hence, the function which maximizes an AUC of bipartite ranking problem is different to the function which maximizes (minimizes) accuracy (misclassification error rate) of binary classification problem. In this paper, we develop a way to construct the unified framework for AUC maximizer including support vector machines based on maximizing large margin and logistic regression based on estimating posterior probability. Moreover, we develop an efficient algorithm for the proposed unified framework. Numerical results show that the propose unified framework can treat various methodologies successfully.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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• pp.52-55
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• 2004

VMS (virtual manufacturing system) may be defined as a transparent interface/control mechanism to support human decision-making via simulation and monitoring of real operating situation through modeling of all activities in RMS (real manufacturing system). The three main layers in VMS are business process layer, manufacturing execution layer, and facility operation layer, and each layer is represented by a specific software system having its own input modeler module. The current version of these input modelers has been implemented based on its own 'local' framework, and as a result, there are no information sharing mechanism, nor a common user view among them. Proposed in this paper is a unified modeler framework covering the three VMS layers, in which the concept of PPR (product-process-resource) model is employed as a common semantics framework and a 2D graphic network model is used as a syntax framework. For this purpose, abstract class PPRObject and GraphicObject are defined and then a subclass is inherited from the abstract class for each application layer. This feature would make it easier to develop and maintain the individual software systems. For information sharing, XML is used as a common data format.

• 서비스연구
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• 제7권3호
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• pp.21-36
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• 2017

최근 정보화 사업이 대형화, 지능화, 융합화되고 있지만 이를 관리 및 감독하는 정보시스템 감리 제도와 사업관리(PMO) 제도는 업무 범위가 중복되거나 경계가 명확하지 않은 부분이 많아 발주기관의 용역 선정에 어려움이 발생하고 있다. 독립성, 품질성, 경제성, 책임성이 개선된 사업관리 및 감리 프레임워크가 요구되며, 이에 따라 정보시스템 감리협회에서는 대략적인 프로세스가 구조화된 정보화 사업 종합관리 프레임워크를 제안하여 사업관리 및 감리 제도를 발전적으로 개편하려는 움직임을 보인다. 본 논문에서는 사업 초기의 발주활동에서부터 사후단계인 운영활동까지 전 단계에 걸친 정보화 사업 종합관리 프레임워크를 소개하고 기존의 관리제도와의 비교분석을 통해 업무 범위를 확인한다. 또한 기존제도와 유사제도를 분석해 감리제도와 PMO 제도 통합의 당위성을 살펴본다. 최종적으로 BSC 성과관리 지표를 기반으로 구현된 COBIT5의 IT 목표 틀을 평가도구로 활용해 종합관리 프레임워크의 적정성을 분석한다. 분석 결과는 정보화 사업의 담당자들이 종합관리 프레임워크의 실무적인 적용에 앞서 그 특성을 이해하는 데 도움이 될 것으로 기대한다.

• 한국전자통신학회논문지
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• 제14권5호
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• pp.969-976
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• 2019

경량 인공지능 하드웨어는 다양한 문제의 해결을 위해 멀티모달 센서 데이터를 입력받아 특징 선택, 추출, 차원축소, 정규화 과정을 수행한 후 인공지능 엔진으로 예측 결과를 도출한다. 다양한 애플리케이션에서 높은 성능을 달성하기 위해서는 이러한 경량 인공지능 하드웨어의 초 매개변수와 전체적인 전처리 시스템의 구성을 데이터에 맞춰 최적화할 필요가 있다. 본 논문에서는 경량 인공지능 하드웨어의 효율적인 제어 및 최적화를 위한 통합 프레임워크를 제안한다. 제안된 통합 프레임워크는 데이터 전처리 및 뉴로모픽 기반 경량 인공지능 엔진을 유연하게 재구성할 수 있으며, 최적의 모델을 생성할 수 있다. 기능검증을 위해 손글씨 이미지 데이터 세트와 관성 센서 데이터 기반의 낙상 검출 데이터 세트를 사용하였으며, 실험 결과 제안하는 통합 프레임워크가 각각의 데이터 세트에서 90% 이상의 정확도를 갖는 최적의 모델을 생성함을 확인하였다.

• Journal of Information Processing Systems
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• 제7권2호
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• pp.321-340
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• 2011

In this article, the current technological state of OPC (Openness, Productivity, and Collaboration; formerly "OLE for Process Control") standards and the problem statement of these OPC standards are discussed. The development of an OPC clientserver framework for monitoring and control systems is introduced by using the new OPC Unified Architecture (UA) specifications, Service Oriented Architecture (SOA), web services, XML, etc. The developed framework in turn minimizes the efforts of developers in learning new techniques and allows system architects and designers to perform dependency analysis on the development of monitoring and control applications. The potential areas of the proposed framework and the redundancy strategies to increase the efficiency and reliability of the system are also represented according to the initial results from the system that was developed by the Visual Studio 2008 and OPC UA SDK.

• 대한전기학회논문지:전력기술부문A
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• 제48권10호
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• pp.1222-1230
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• 1999

This paper presents the framework for analysis of small-signal stability. In this framework the equilibrium points of system DAE model are traced using continuation method and instability points are determined on the solution path. Especially Implicit shift QR-modified Arnoldi method is utilized to calculated the rightmost eigenvalues. Small-signal stability is becoming one of the major factors that affect the ATC in the environment of deregulation. Stability limited ATC is easily evaluated in this stability analysis process.

• Journal of Information Science Theory and Practice
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• 제4권4호
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• pp.4-15
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• 2016

Information needs of users have been examined both generally and as they pertain to particular types and formats of information. Barriers to information have also been investigated, including those which are situational and also across certain domains and socioeconomic contexts. Unified studies concerning both information needs and barriers are needed. Both are likely always present in any given interactive search situation; further, users' attempts to satisfy their own individualized information needs will likely encounter barriers of some sort. The present study employed a survey method to collect users' perceptions of video information needs and barriers as part of recent video search situations. Findings from this analysis establish a unified framework, based on the themes emerging directly from the responses of users, and present the suitability and benefit for informing future designs and evaluations of user-centered interactive retrieval tools.

• 로봇학회논문지
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• 제13권2호
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• pp.129-141
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• 2018

This paper proposes a unified framework that overcomes four motion constraints including joint limit, kinematic singularity, algorithmic singularity and obstacles. The proposed framework is based on our previous works which can insert or remove tasks continuously using activation parameters and be applied to avoid joint limit and singularity. Additionally, we develop a method for avoiding obstacles and combine it into the framework to consider four motion constraints simultaneously. The performance of the proposed framework was demonstrated by simulation tests with considering four motion constraints. Results of the simulations verified the framework's effectiveness near joint limit, kinematic singularity, algorithmic singularity and obstacles. We also analyzed sensitivity of our algorithm near singularity when using closed loop inverse kinematics depending on magnitude of gain matrix.