• Title/Summary/Keyword: Technology framework

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Development and Analysis of Real-time Distributed Air Defense System Simulator Using a Software Framework (소프트웨어 프레임워크를 이용한 대공유도무기 실시간 분산 시뮬레이터 개발 및 분석)

  • Cho, Byung-Gyu;Youn, Cheong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.8 no.4 s.23
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    • pp.58-67
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    • 2005
  • To overcome limitations of test scope, schedule and cost, M&S(Modeling & Simulation) technique has been applied for T&E(Test and Evaluation) of the state-of-art weapon systems. This paper proposes an air defense simulation software framework to reduce both redundancy an[1 programming errors in system simulator. The proposed framework consists of a 'model' and a 'middleware' The 'middleware' is a reliable communication service layer that supports not only HLA(High Level Architecture) which is an international standard in M&S but also TCP/IP, UDP and etc. The main role of 'model' is to schedule and to run the real-time distributed simulation. The proposed framework has been applied to M-SAM(Middle range Surface to Air Missile) system simulator. The proposed framework's scheduling and communication performance results are satisfactory and were measured by hardwired NTP(Network Timer Protocol) time-stamp with GPS(Global Positioning System) timer for better precision.

Standardization of Infrastructure Information Modeling based on BIM Information Framework (BIM 정보프레임워크 기반의 토목구조물 정보모델링 표준화방안)

  • Nam, Jeong-Yong;Jo, Chan Won
    • Korean Journal of Computational Design and Engineering
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    • v.19 no.3
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    • pp.281-293
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    • 2014
  • Although there have been a lot of BIM R&Ds in the civil engineering and their applications to the real projects, BIM in the field is still known to be behind the other areas. One of the reasons for this should be that the civil projects is generally too public for private participants to try new technologies, but it is mainly because the projects are so huge and complex that we still have the working environment where the systematic information sharing or exchanging is not smooth enough. In this paper, we are verifying the possibility and proposing the direction of BIM information standardization technology in civil engineering based on the integrated BIM information standard framework. For this purpose, after reviewing the introduction plan for BIM information framework, we applied it to an actual civil structure for test. The implementation result proved that the framework has possibility and effectiveness for the takeoff and construction cost calculation, which confirmed the standard framework needs to be extended consistently. This study is expected to contribute to the standard system establishment and its technology propagation for BIM development in the civil engineering.

Bio-vector Generation Framework for Smart Healthcare

  • Shin, Yoon-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.1
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    • pp.107-113
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    • 2016
  • In this paper, by managing the biometric data is changed with the passage of time, a systematic and scientifically propose a framework to increase the bio-vector generation efficiency of the smart health care. Increasing the development of human life as a medicine and has emerged smart health care according to this. Organic and efficient health management becomes possible to generate a vector when the biological domain to the wireless communication infrastructure based on the measurement of the health status and to take action in accordance with the change of the physical condition. In this paper, we propose a framework to create a bio-vector that contains information about the current state of health of the person. In the proposed framework, Bio vectors may be generated by collecting the biometric data such as blood pressure, pulse, body weight. Biometric data is the raw data from the bio-vector. The scope of the primary data can be set to active. As the collecting biometric data from multiple items of the bio-recognition vectors may increase. The resulting bio-vector is used as a measure to determine the current health of the person. Bio-vector generating the proposed framework, it can aid in the efficiency and systemic health of healthcare for the individual.

Developing a National Data Metrics Framework for Learning Analytics in Korea

  • RHA, Ilju;LIM, Cheolil;CHO, Young Hoan;CHOI, Hyoseon;YUN, Haeseon;YOO, Mina;Jeong Eui-Suk
    • Educational Technology International
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    • v.18 no.1
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    • pp.1-25
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    • 2017
  • Educational applications of big data analysis have been of interest in order to improve learning effectiveness and efficiency. As a basic challenge for educational applications, the purpose of this study is to develop a comprehensive data set scheme for learning analytics in the context of digital textbook usage within the K-12 school environments of Korea. On the basis of the literature review, the Start-up Mega Planning model of needs assessment methodology was used as this study sought to come up with negotiated solutions for different stakeholders for a national level of learning metrics framework. The Ministry of Education (MOE), Seoul Metropolitan Office of Education (SMOE), and Korean Education and Research Information Service (KERIS) were involved in the discussion of the learning metrics framework scope. Finally, we suggest a proposal for the national learning metrics framework to reflect such considerations as dynamic education context and feasibility of the metrics into the K-12 Korean schools. The possibilities and limitations of the suggested framework for learning metrics are discussed and future areas of study are suggested.

A multi-objective optimization framework for optimally designing steel moment frame structures under multiple seismic excitations

  • Ghasemof, Ali;Mirtaheri, Masoud;Mohammadi, Reza Karami;Salkhordeh, Mojtaba
    • Earthquakes and Structures
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    • v.23 no.1
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    • pp.35-57
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    • 2022
  • This article presents a computationally efficient framework for multi-objective seismic design optimization of steel moment-resisting frame (MRF) structures based on the nonlinear dynamic analysis procedure. This framework employs the uniform damage distribution philosophy to minimize the weight (initial cost) of the structure at different levels of damage. The preliminary framework was recently proposed by the authors based on the single excitation and the nonlinear static (pushover) analysis procedure, in which the effects of record-to-record variability as well as higher-order vibration modes were neglected. The present study investigates the reliability of the previous framework by extending the proposed algorithm using the nonlinear dynamic design procedure (optimization under multiple ground motions). Three benchmark structures, including 4-, 8-, and 12-story steel MRFs, representing the behavior of low-, mid-, and high-rise buildings, are utilized to evaluate the proposed framework. The total weight of the structure and the maximum inter-story drift ratio (IDRmax) resulting from the average response of the structure to a set of seven ground motion records are considered as two conflicting objectives for the optimization problem and are simultaneously minimized. The results of this study indicate that the optimization under several ground motions leads to almost similar outcomes in terms of optimization objectives to those are obtained from optimization under pushover analysis. However, investigation of optimal designs under a suite of 22 earthquake records reveals that the damage distribution in buildings designed by the nonlinear dynamic-based procedure is closer to the uniform distribution (desired target during the optimization process) compared to those designed according to the pushover procedure.

Emerging Technology Mining Framework Design in Mobile Telecommunication Industry (이동통신 산업 유망기술 발굴 방법론 설계)

  • Sim, Hyeon-Dong;Lee, Yeong-Ho;Kim, Yeong-Uk
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2008.10a
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    • pp.157-161
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    • 2008
  • In this paper, we propose a new framework for identifying emerging technologies to in mobile telecommunication industry. We designed a new framework using qualitative and quantitative methodologies. Finally, we deduced emerging technologies using our framework for mobile network operator.

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An Applicable Study on the Architecture Framework in the MND (아키텍처 프레임워크의 국방분야 적용 연구)

  • Kim, Young-Do;Seo, Min-Woo;Son, Tae-Jong
    • Journal of Information Technology Services
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    • v.3 no.2
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    • pp.129-140
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    • 2004
  • Traditional information systems in the Ministry of National Defense(MND) are insufficient about interoperability between all kinds of them. Also there is no the applicable architecture framework to develop information systems. The Architecture Framework(AF) is to provide guidance for describing architectures for both warfighting operations and business operations and processes in the MND. Therefore, in this paper we propose the MND AF to develop and manage information systems in the MND.

A Workflow Framework for the Integrated Logistics Systems (통합 물류 시스템 구축을 위한 워크플로 프레임워크)

  • Seo, Yong-Won;Sung, Che-Hoon;Hahm, Ju-Ho
    • IE interfaces
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    • v.12 no.1
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    • pp.143-149
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    • 1999
  • In this paper, we propose a workflow framework for the integrated logistics systems. We modelled the logistics activities into workflows, which allow clear specification and flexible modification of business processes. To specify workflows, we used petri-net that is extended to handle with information flows. A framework to implement the integrated logistics system using workflow management technology is proposed. Since logistics is closely related with other parts of enterprise such as manufacturing and accounting, the framework could capture a rich features required for enterprise-wide systems.

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New Blind Steganalysis Framework Combining Image Retrieval and Outlier Detection

  • Wu, Yunda;Zhang, Tao;Hou, Xiaodan;Xu, Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.12
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    • pp.5643-5656
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    • 2016
  • The detection accuracy of steganalysis depends on many factors, including the embedding algorithm, the payload size, the steganalysis feature space and the properties of the cover source. In practice, the cover source mismatch (CSM) problem has been recognized as the single most important factor negatively affecting the performance. To address this problem, we propose a new framework for blind, universal steganalysis which uses traditional steganalyst features. Firstly, cover images with the same statistical properties are searched from a reference image database as aided samples. The test image and its aided samples form a whole test set. Then, by assuming that most of the aided samples are innocent, we conduct outlier detection on the test set to judge the test image as cover or stego. In this way, the framework has removed the need for training. Hence, it does not suffer from cover source mismatch. Because it performs anomaly detection rather than classification, this method is totally unsupervised. The results in our study show that this framework works superior than one-class support vector machine and the outlier detector without considering the image retrieval process.

Speaker Tracking Using Eigendecomposition and an Index Tree of Reference Models

  • Moattar, Mohammad Hossein;Homayounpour, Mohammad Mehdi
    • ETRI Journal
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    • v.33 no.5
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    • pp.741-751
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    • 2011
  • This paper focuses on online speaker tracking for telephone conversations and broadcast news. Since the online applicability imposes some limitations on the tracking strategy, such as data insufficiency, a reliable approach should be applied to compensate for this shortage. In this framework, a set of reference speaker models are used as side information to facilitate online tracking. To improve the indexing accuracy, adaptation approaches in eigenvoice decomposition space are proposed in this paper. We believe that the eigenvoice adaptation techniques would help to embed the speaker space in the models and hence enrich the generality of the selected speaker models. Also, an index structure of the reference models is proposed to speed up the search in the model space. The proposed framework is evaluated on 2002 Rich Transcription Broadcast News and Conversational Telephone Speech corpus as well as a synthetic dataset. The indexing errors of the proposed framework on telephone conversations, broadcast news, and synthetic dataset are 8.77%, 9.36%, and 12.4%, respectively. Using the index tree structure approach, the run time of the proposed framework is improved by 22%.