• 제목/요약/키워드: Enhanced Decision

검색결과 250건 처리시간 0.029초

An Enhanced Investment Priority Decision of Facilities Considering Reliability of Distribution Networks

  • Choi Jung-Hwan;Park Chang-Ho;Kim Kwang-Ho;Jang Sung-Il
    • KIEE International Transactions on Power Engineering
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    • 제5A권3호
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    • pp.260-268
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    • 2005
  • This paper proposes an improved investment pnonty decision method of facilities considering the reliability of distribution networks. The proposed method decides an investment order of the facilities combining, by fuzzy rules, the investment priority decision by KEPCO and that by reliability evaluation indices. The reliability evaluation indices are SAIFI (System Average Interruption Frequency Index) and SAIDI (System Average Interruption Duration Index). The reliability analysis method of distribution networks applied in this paper utilizes the analytic method, where the used reliability data is the historical data of KEPCO. Particularly, we assumed that the failure rate increases as the equipment ages. To verify the performance of the proposed method, we applied it with the planned projects to reinforce the weak electrical facilities in KEPCO in 2004. The evaluation result showed that, under a limited budget, the reliability of KEPCO in the Busan region using the proposed method could be enhanced if used rather than the conventional method typically in place. Therefore, the results verify that the proposed method can be efficiently used in the actual priorities method for investing in the electrical facilities.

Safe anesthesia for office-based plastic surgery: Proceedings from the PRS Korea 2018 meeting in Seoul, Korea

  • Osman, Brian M.;Shapiro, Fred E.
    • Archives of Plastic Surgery
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    • 제46권3호
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    • pp.189-197
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    • 2019
  • There has been an exponential increase in plastic surgery cases over the last 20 years, surging from 2.8 million to 17.5 million cases per year. Seventy-two percent of these cases are being performed in the office-based or ambulatory setting. There are certain advantages to performing aesthetic procedures in the office, but several widely publicized fatalities and malpractice claims has put the spotlight on patient safety and the lack of uniform regulation of office-based practices. While 33 states currently have legislation for office-based surgery and anesthesia, 17 states have no mandate to report patient deaths or adverse outcomes. The literature on office-base surgery and anesthesia has demonstrated significant improvements in patient safety over the last 20 years. In the following review of the proceedings from the PRS Korea 2018 meeting, we discuss several key concepts regarding safe anesthesia for office-based cosmetic surgery. These include the safe delivery of oxygen, appropriate local anesthetic usage and the avoidance of local anesthetic toxicity, the implementation of Enhanced Recovery after Surgery protocols, multimodal analgesic techniques with less reliance on narcotic pain medications, the use of surgical safety checklists, and incorporating "the patient" into the surgical decision-making process through decision aids.

Performance Analysis of Suboptimal Receiver Combining Adaptive Array Antenna and Orthogonal Decision-Feedback Detector for DS/CDMA System

  • Cho, Young-pil;Yoo, Sung-Kyun;Lee, Hyung-ki;Kwak, Kyung-sup
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -2
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    • pp.1354-1357
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    • 2002
  • In this paper, we propose a suboptimal receiver combining adaptive array antenna and orthogonal decision-feedback detector in DS/CDMA system. Adaptive array antenna can cancel out undesired signal using beamforming scheme. However, if there are interfering signals from undesired users with the same incident angle as that of a desired user, an adaptive array antenna cannot suppress them. The proposed receiver can cancel out remaining interference from users having nearly the same beam pattern. And we employ Orthogonal Decision-Feedback Detector (ODFD) as multiuser detection. The ODFD performs as good as the decorrelating decision -feedback detector (DDD) with much less complexity. Simulation results show that the proposed system provides a significantly enhanced performance.

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새로운 반복 LMS 기반의 결정 궤환 등화기의 설계 (Design of Novel Iterative LMS-based Decision Feedback Equalizer)

  • 최윤석;박형근
    • 전기학회논문지
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    • 제56권11호
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    • pp.2033-2035
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    • 2007
  • This paper proposes a novel iterative LMS-based decision feedback equalizer for short burst transmission with relatively short training sequence. In the proposed equalizer, the longer concatenated training sequence can provide the more sufficient channel information and the reused original training sequence can provide the correct decision feedback information. In addition, the overall adaptive processing is performed using the low complexity LMS algorithm. The study shows the performance of the proposed method is enhanced with the number of iterations and, furthermore, better than that of the conventional LMS-based DFEs with the training sequence of longer or equal length. Computational complexity is increased linearly with the number of iterations.

Seamless Mobility of Heterogeneous Networks Based on Markov Decision Process

  • Preethi, G.A.;Chandrasekar, C.
    • Journal of Information Processing Systems
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    • 제11권4호
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    • pp.616-629
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    • 2015
  • A mobile terminal will expect a number of handoffs within its call duration. In the event of a mobile call, when a mobile node moves from one cell to another, it should connect to another access point within its range. In case there is a lack of support of its own network, it must changeover to another base station. In the event of moving on to another network, quality of service parameters need to be considered. In our study we have used the Markov decision process approach for a seamless handoff as it gives the optimum results for selecting a network when compared to other multiple attribute decision making processes. We have used the network cost function for selecting the network for handoff and the connection reward function, which is based on the values of the quality of service parameters. We have also examined the constant bit rate and transmission control protocol packet delivery ratio. We used the policy iteration algorithm for determining the optimal policy. Our enhanced handoff algorithm outperforms other previous multiple attribute decision making methods.

연판정지향 Stop-and-Go 알고리즘을 이용한 적응 블라인드 등화기의 성능 향상에 관한 연구 (A Study on the performance Improvement of the Adaptive Blind Equalizer Using the Soft Decision-Directed Stop-and-Go Algorithm)

  • 정영화
    • 정보학연구
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    • 제2권1호
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    • pp.103-113
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    • 1999
  • 본 논문에서는 연판정지향 알고리즘에 Stop-and-Go 알고리즘의 개념을 결합한 연판정지향 Stop-and-Go 알고리즘을 제안한다. 제안한 알고리즘은 두 알고리즘보다 더 신뢰성 있는 오차신호를 사용함으로써 향상된 등화 성능을 가진다. 컴퓨터 모의실험을 통하여 제안한 알고리즘이 CMA, MCMA, Stop-and-Go 알고리즘, 단순화된 연판정지향 알고리즘에 비해 잔류 심벌간 간섭과 정상상태로의 수렴 속도면에서 우수한 성능을 가짐을 확인하였다.

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신뢰도를 고려한 배전계통 설비투자 우선순위 결정에 관한 연구 (A Novel Investment Priority Decision Method for Facilities of Distribution Systems Considering Reliability of Distribution System)

  • 최정환;박창호;김광호;장성일;조성현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 A
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    • pp.545-547
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    • 2004
  • This paper proposes the novel investment priority decision method for distribution facilities considering the potential failure rate and the influence of customer caused by faults in distribution networks. The Proposed method decides the investment priority of the facilities combining, by the fuzzy rules, the KEPCO's priority decision for investment and the priority decision considering SAIFI(System Average Interruption Frequency Index) and SAIDI(System Average Interruption Duration Index). To verify the performance of the proposed method, these works utilized the projects for weak facility reinforcement planned in KEPCO in the Busan region in 2003 and 2004. The evaluation results showed that the reliability of the KEPCO in the Busan region using the proposed method can be enhanced more than using the conventional KEPCO's method.

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결정지향 SNR 추정방식에서의 추정오차 보정기법을 통한 SNR 추정성능개선 (Performance Enhancement of Decision Directed SNR Estimation by Correction Scheme of SNR Estimation Error)

  • 곽재민
    • 한국항행학회논문지
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    • 제16권6호
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    • pp.982-987
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    • 2012
  • 본 논문에서는 AWGN 채널에서 특정 판정영역 내에 수신된 샘플들을 이용해 DD(Decision Directed) 방식으로 SNR을 추정하는 경우에 발생하는 SNR 추정 오차에 대해서 분석하였다. 수신기에서 특정 성좌점에 해당하는 기준 판정영역에 수신된 샘플들로 이상적인 수신점과의 에러벡터를 이용하여 SNR을 추정하는 경우, 다른 판정영역에 대응되는 송신심볼이 잡음의 영향으로 기준 판정영역으로 넘어온 샘플들까지 포함되므로, 추정된 신호 성좌점의 평균치가 이동함으로써 DD방식의 SNR 추정이 부정확하게 이루어진다. 이러한 현상을 변형된 확률밀도 함수를 기반으로 설명하고 실제 SNR과 추정 SNR과의 오차를 유도하여 정량적으로 분석하였다. 또한 컴퓨터 시뮬레이션을 통한 SNR 추정오차가 이론적으로 유도된 SNR 추정오차와 일치하고, 제안한 보정기법을 통해 SNR 추정 성능을 크게 개선할 수 있음을 확인하였다.

경영자의 직무스트레스가 기업네트워크와 흡수역량을 통해 의사결정품질에 미치는 영향에 관한 연구 (A Study on the Influence of Enterpriser Job Stress on Decision Quality through Corporate Network and Absorption Capacity)

  • 변희지;서영욱
    • 디지털융복합연구
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    • 제18권9호
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    • pp.159-167
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    • 2020
  • 본 연구는 경영자가 합리적인 의사결정을 할 때 경영자의 직무스트레스가 의사결정품질에 어떠한 영향을 미치는 지를 알아보고, 기업네트워크와 흡수역량을 통해 의사결정품질을 높일 수 있는지에 대해 실증분석 하고자 하였다. 이를 위해 중소기업 경영자를 대상으로 356명의 설문 데이터를 수집하였고, SPSS v.25와 AMOS v.24를 활용하여 분석하였다. 연구결과 직무스트레스 중 도전적스트레스는 의사결정품질에 정(+)의 영향을 주었고, 방해적스트레스는 의사결정품질에 부(-)의 영향을 주었으며, 기업네트워크와 흡수역량은 모두 의사결정품질에 정(+)의 영향을 주었다. 또한, 도전적스트레스와 방해적스트레스는 기업네트워크와 흡수역량을 통해 의사결정품질에 정(+)의 영향을 주는 것으로 나타났다. 이와 같은 연구결과를 통해 직무스트레스의 도전요인이 의사결정품질에 긍정적 영향을 주는 것을 검증하였으며, 기업네트워크와 흡수역량이 의사결정품질을 높이는 중요한 요인임을 확인할 수 있었다. 이와같이 결론을 논의하고 시사점 및 후속연구의 방향을 제시하였다.

Decision-Directed 모드와 유클리드 거리 알고리듬을 사용한 복소채널의 블라인드 등화 (Complex-Channel Blind Equalization using Euclidean-Distance Algorithms with Decision-Directed Modes)

  • 김남용
    • 한국정보전자통신기술학회논문지
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    • 제3권3호
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    • pp.73-80
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    • 2010
  • 상수 모듈러스 오차와 두확률 밀도 함수의 유클리드 거리에 기본을 둔 블라인드 알고리듬은 정보 이론적 학습 방법의 장점에도 불구하고 복소 채널의 위상 회전을 극복하지 못해 열악한 성능을 보인다. 이 논문에서는, 출력 전력이 다중 모듈러스 값의 근방에 있을 때 decision-directed 모드로 동작하는 기법을 정보 이론적 학습에 추가하므로서 복소 채널의 위상 회전 문제를 해결할 수 있음를 보였다. 복소 채널 모델과 16 QAM 방식에 대한 시뮬레이션 결과에서 복소 채널의 위상 회전 문제가 해결되어 현격한 성능 향상을 보였다.

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