• 제목/요약/키워드: Communication Uncertainty

검색결과 254건 처리시간 0.034초

Adaptive Controllers for Feedback Linearizable Systems using Diffeomorphism

  • Park, H.L.;Lee, S.H.;J.T. Lime
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.443-443
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    • 2000
  • A systematic scheme is developed fer the design of new adaptive feedback linearizing controllers for nonlinear systems. The developed adaptation law estimates the uncertain time-varying parameters using the structure of diffeomorphisrn. Our scheme is applicable to a class of nonlinear systems which violates the restrictive parametric-pure-feedback condition [4]-[6].

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Analysis and Optimization of Cooperative Spectrum Sensing with Noisy Decision Transmission

  • Liu, Quan;Gao, Jun;Guo, Yunwei;Liu, Siyang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권4호
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    • pp.649-664
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    • 2011
  • Cooperative spectrum sensing (CSS) with decision fusion is considered as a key technology for tackling the challenges caused by fading/shadowing effects and noise uncertainty in spectrum sensing in cognitive radio. However, most existing solutions assume an error-free decision transmission, which is obviously not the case in realistic scenarios. This paper extends the general decision-fusion-based CSS scheme by considering the fading/shadowing effects and noise corruption in the common control channels. With this more practical model, the fusion centre first estimates the local decisions using a binary minimum error probability detector, and then combines them to get the final result. Theoretical analysis and simulation of this CSS scheme are performed over typical channels, which suggest some performance deterioration compared with the pure case that assumes an error-free decision transmission. Furthermore, the fusion strategy optimization in the proposed cooperation model is also investigated using the Bayesian criteria. The numerical results show that the total error rate of noisy CSS is higher than that of the pure case, and the optimal values of fusion parameter in the counting rule under both cases decrease as the local detection threshold increases.

현대사회의 과학커뮤니케이션 개념과 특성 연구 (Study on Concept and Characteristics of Science Communication in Modern Society)

  • 장미경
    • 문화기술의 융합
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    • 제10권3호
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    • pp.827-832
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    • 2024
  • 복잡성과 불확실성, 예측 불가능성을 주요 특징으로 나타내는 현대사회의 과학기술 위험 이슈에 대응하기 위해서는 과학에 주안점을 두고 단기간에 해결책을 찾으려고 노력하기보다는 구성원 간 사회적 성찰과 정치적 합의에 기반한 과학커뮤니케이션이 활성화되어야 한다. 이 연구의 목적은 사회 패러다임 변화에 따라 과학커뮤니케이션의 개념과 흐름이 어떻게 변화해 왔는지, 과학커뮤니케이션 활성화를 위해서는 무엇이 필요한지 구체적으로 탐색함으로써 위험사회에 부합한 과학커뮤니케이션을 고찰하고 시사점과 함의를 제시하려는 데 있다. 과학지식과 과학에 대한 이해가 공중의 참여와 접목될 때, 그리고 과학만의 권위와 권력에서 벗어나 위험사회의 문제를 해결하기 위한 경험적 지식이 보강될 때, 실질적인 전문성과 효율성을 발휘할 수 있는 과학커뮤니케이션이 구현될 수 있을 것이다.

계층분석방법을 이용한 교차로망의 실시간 교통제어 (Realtime Traffic Control of Traffic Networks using Analytic Hierachy Process)

  • 진현수;홍유식
    • 한국인터넷방송통신학회논문지
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    • 제10권6호
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    • pp.47-53
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    • 2010
  • 본문은 단일 교차로의 주기시간을 결정하는 시간 간격을 계층분석방법(Analytic Hierachy Process)을 이용하여 도출하여 내었다. 주어진 불확실한 상황 가운데 결정적인 도출물을 얻기위해서는 비선형특성의 퍼지 적분이나 적응 계수를 사용하여 얻어내어야 하는데 이를 기반으로한 방법이 계층분석방법이다. 계층분석방법을 사용한 제어기와 고정시간 제어를 한 교통제어기와의 비교를 위하여 모의 실험을 통한 결과를 가지고서 비교 검토하였다.

Multimodal Data Fusion for Alzheimers Patients Using Dempster-Shafer Theory of Evidence

  • Majumder, Dwijesh Dutta;Bhattacharya, Nahua
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.713-718
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    • 1998
  • The paper is part of an investigation by the authors on development of a knowledge based frame work for multimodal medical image in collaboration with the All India Institute of Medical Science, new Delhi. After presenting the key aspects of the Dempster-Shafer Evidence theory we have presented implementation of registration and fusion of T₁and T₂ weighted MR images and CT images of the brain of an Alzheimer's patient for minimising the uncertainty and increasing the reliability for dianostics and therapeutic planning.

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Fuzzy Classification Rule Learning by Decision Tree Induction

  • Lee, Keon-Myung;Kim, Hak-Joon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제3권1호
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    • pp.44-51
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    • 2003
  • Knowledge acquisition is a bottleneck in knowledge-based system implementation. Decision tree induction is a useful machine learning approach for extracting classification knowledge from a set of training examples. Many real-world data contain fuzziness due to observation error, uncertainty, subjective judgement, and so on. To cope with this problem of real-world data, there have been some works on fuzzy classification rule learning. This paper makes a survey for the kinds of fuzzy classification rules. In addition, it presents a fuzzy classification rule learning method based on decision tree induction, and shows some experiment results for the method.

AIS Implementation and Experiment with the Korean Satellite

  • Lee Han-Jin;Lee Changmin;Kang Chang-Gu
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2000년도 International Workshop for AIS / ECDIS / VTS Interface
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    • pp.119-123
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    • 2000
  • In this paper, authors introduce about Wide Range Vessel Traffic Service (VTS) system using Automatic Identification System (AIS). In order to develop the prototype of Wide Range VIS system, Korean satellite is used for data communication system for AIS. In this system, ship position obtained by using GPS is reported automatically to VTS center through Korean satellite. By using this system, VTS center can cover more wide area than the case using radar only. And the uncertainty of information is decrease. The results of test show the good possibility of VTS using satellite and AIS.

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Impact of COVID-19 on R&D Cost Stickiness in IT industry

  • Kwak, Ji-Young;Lee, Jung-wha;Jo, Eun Hye
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권2호
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    • pp.36-42
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    • 2021
  • This study aims to examine whether there are some differences in the cost stickiness of R&D expenses of IT companies before and after the COVID-19 crisis. Before COVID-19, IT companies did not reduce R&D expenses even if sales decreased, resulting in cost stickiness. As a result, it appears that during the COVID-19, IT companies adjust R&D expenses in proportion to changes in sales. This is interpreted as a reduction in R&D investment, which takes a long time to create results, in case of a decrease in sales due to uncertainty in future management performance due to the COVID-19 pandemic. In other words, during the COVID-19 risk period, IT companies, like other companies, reduced R&D expenses as sales decreased, resulting in reduced cost stickiness. This study differs from existing literature in that it examines the impact of the COVID-19 pandemic on the R&D expenditure behavior of companies in the IT industry.

Operational Problem Analysis and Improvement Plan in the Smart Factory Promotion Process

  • Lee, Seong-Hoon;Lee, Dong-Woo
    • International journal of advanced smart convergence
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    • 제11권4호
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    • pp.273-278
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    • 2022
  • Uncertainty is increasing around the world due to COVID-19 and Ukraine crisis. In this situation, each company is making countless efforts to survive. In Korea, smart factory projects targeting small and medium-sized businesses with difficulties have been continuously promoted. As for the smart factory business that has been promoted so far, the base expansion of the smart factory is also steadily increasing as the number of companies carrying out the project is increasing. It was also found that it contributed to productivity improvement and quality improvement. Despite these positive aspects, difficulties and operational problems are also appearing in the process of promoting smart factories. In this study, we investigated and analyzed operational problems and difficulties in the process of promoting smart factories. In addition, improvement plans for problems were presented according to the contents of this analysis, and improvement plans were presented by classifying them into introduction and supply companies, considering that the smart factory business is formed in the form of a consortium between introduction and supply companies.

Present and Future of Risk Management of Construction Practice in Asia

  • Watanabe, Tsunemi
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.4-5
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    • 2015
  • Owning to rapid infrastructure development, Asia is experiencing dramatic economic growth. There are not a few cases in which, however, economic growth is achieved by increasing the external diseconomy. Pursuit of sustainable development is one of the most important issues for mankind. Under the post-industrial capitalism society, however, there seems a big risk of increase in the external diseconomy worldwide. The objectives of this manuscript are to discuss importance of risk management of construction practice in present and future. Regarding the latter, a particular attempt is made to discuss how project risk communication should be done to reduce the external diseconomy. Presently, one of the important issues in implementation of infrastructure projects is practice of risk management to properly manage time, cost, quality, and safety: mainly maximization of internal economy. Multi-party risk and uncertainty management process (MRUMP) is one of tolls to assist it. The idea on MRUMP can be used to reduce the external diseconomy through identifying, sharing, and tuning people's rhythms.

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