• 제목/요약/키워드: Probability and impact matrix

검색결과 17건 처리시간 0.03초

Sensing of OFDM Signals in Cognitive Radio Systems with Time Domain Cross-Correlation

  • Xu, Weiyang
    • ETRI Journal
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    • 제36권4호
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    • pp.545-553
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    • 2014
  • This paper proposes an algorithm to sense orthogonal frequency-division multiplexing (OFDM) signals in cognitive radio (CR) systems. The basic idea behind this study is when a primary user is occupying a wireless channel, the covariance matrix is non-diagonal because of the time domain cross-correlation of the cyclic prefix (CP). In light of this property, a new decision metric that measures the power of the data found on two minor diagonals in the covariance matrix related to the CP is introduced. The impact of synchronization errors on the signal detection is analyzed. Besides this, a likelihood-ratio test is proposed according to the Neyman-Pearson criterion after deriving probability distribution functions of the decision metric under hypotheses of signal presence and absence. A threshold, subject to the requirement of probability of false alarm, is derived; also the probabilities of detection and false alarm are computed accordingly. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed algorithm.

Goal Programming을 이용한 상호영향도 분석 (Cross Impact Analysis Using Goal Programming)

  • 김연민;이진주
    • 한국경영과학회지
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    • 제6권1호
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    • pp.15-23
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    • 1981
  • This paper deals with cross impact analysis for technology assessment. The focus of the paper is to develop new technique of cross impact matrix using goal programming method. In this study, the idea of cross impact analysis based on scenario generation method especially SMIC-74 (2) is expanded. Critical literature review on SMIC-74 is presented to discuss the mathematical rationale of consistent probability in cross impact analysis. A new model of cross impact analysis using goal programming to overcome the shortcomings of the scenario generation technique especially SMIC-74 is developed. This new technique is also applied to the assessment of the air pollution problems in Seoul Metropolitan area in Korea. The results of analysis give us following findings 1) Cross impact analysis using goal programming produce more meaningful solutions comparing to those of SMIC-74 2) Theoretical rationale of the objective function in the newly developed technique is more appropriate than that of SMIC-74.

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기술상호효과분석의 입력변수 추정 난이도 경감을 위한 입력변수 설정모형의 설계 (Designing an Input Parameters Setting Model for Reducing the Difficulty of Input Parameters Estimations in Cross Impact Analysis)

  • 전정철;권철신
    • 한국경영과학회지
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    • 제42권2호
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    • pp.35-48
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    • 2017
  • As the technology convergence paradigm emerges, the need for "CIA techniques" to analyze the mutual effects of technology is increasing. However, since the CIA input parameter estimation is difficult, the present study suggests a "CIA input parameter setting model" to alleviate the difficulty of CIA input parameter estimation. This paper is focused on the difference of measurement difficulty by each scale which expert's estimation behavior was defined as measurement activity quantifying the judgment of future technology. Therefore, this model is designed to estimate the input variable as a sequence or isometric scale that is relatively easy to measure, and then converts it into a probability value. The input parameter setting model of the CIA technique consists of three sub-models : 'probability value derivation model', 'influence estimation model', and 'impact value calculation model', in order to develop a series of models the Thurstone V model, Regression Analysis, etc has been used.

인지온도 확률예보기반 폭염-건강영향예보 지원시스템 개발 및 2019년 온열질환자를 이용한 평가 (Development of Impact-based Heat Health Warning System Based on Ensemble Forecasts of Perceived Temperature and its Evaluation using Heat-Related Patients in 2019)

  • 강미선;벨로리드 밀로슬라브;김규랑
    • 대기
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    • 제30권2호
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    • pp.195-207
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    • 2020
  • This study aims to introduce the structure of the impact-based heat health warning system on 165 counties in South Korea developed by the National Institute of Meteorological Sciences. This system was developed using the daily maximum perceived temperature (PTmax), which is a human physiology-based thermal comfort index, and the Local ENSemble prediction system for the probability forecasts. Also, A risk matrix proposed by the World Meteorological Organization was employed for the impact-based forecasts of this system. The threshold value of the risk matrix was separately set depending on regions. In this system, the risk level was issued as four levels (GREEN, YELLOW, ORANGE, RED) for first, second, and third forecast lead-day (LD1, LD2, and LD3). The daily risk level issued by the system was evaluated using emergency heat-related patients obtained at six cities, including Seoul, Incheon, Daejeon, Gwangju, Daegu, and Busan, for LD1 to LD3. The high-risks level occurred more consistently in the shorter lead time (LD3 → LD1) and the performance (rs) was increased from 0.42 (LD3) to 0.45 (LD1) in all cities. Especially, it showed good performance (rs = 0.51) in July and August, when heat stress is highest in South Korea. From an impact-based forecasting perspective, PTmax is one of the most suitable temperature indicators for issuing the health risk warnings by heat in South Korea.

공급능력 리스크를 고려한 최적 구매계획 해법 (A Solution for Sourcing Decisions under Supply Capacity Risk)

  • 장원준;박양병
    • 대한산업공학회지
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    • 제42권1호
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    • pp.38-49
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    • 2016
  • This paper proposes a mathematical model-based solution for sourcing decisions with an objective of minimizing the manufacturer's total cost in the two-echelon supply chain with supply capacity risk. The risk impact is represented by uniform, beta, and triangular distributions. For the mathematical model, the probability vector of normal, risk, and recovery statuses are developed by using the status transition probability matrix and the equations for estimating the supply capacity under risk and recovery statuses are derived for each of the three probability distributions. Those formulas derived are validated using the sampling method. The results of the simulation study on the test problem show that the sourcing decisions using the proposed solution reduce the total cost by 1.6~3.7%, compared with the ones without a consideration of supply capacity risk. The total cost reduction increases approximately in a linear fashion as the probability of risk occurrence or reduction rate of supply capacity due to risk events is increased.

Assessing the Impacts of Project Interfaces in Construction Works in Nigeria

  • Okebugwu, Onyinyechi Francesca;Omajeh, Enoch Oghene-Mairo
    • Journal of Construction Engineering and Project Management
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    • 제5권1호
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    • pp.20-25
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    • 2015
  • Interface management problems inherent in construction projects hamper their successful delivery. Therefore, this study aimed at determining the most important project interfaces in construction works in Nigeria in terms of most significant potential impacts, so that management attention are objectively focused on potential highest impacting project interfaces. From a review of literature, 28 project interfaces management issues were identified and categorized. Structured questionnaires were used to collect data concerning the impact (estimated losses to the project in terms of cost) and probability of occurrence of the identified interfaces. The interfaces were ranked using their computed Matrix Scores (MS). The results reveal that "project-workers interfaces problem manifested in use of inappropriate mixes" is the highest impacting. A ranking of the interface categories also reveal that the interfaces at the execution phase of a project (MS = 1226.79) are those that could result in the highest losses to the project.

도시 소유역 내 내수침수 위험도 평가 : 강우 시간분포 및 이중배수체계 모형을 중심으로 (Risk assessment for inland flooding in a small urban catchment : Focusing on the temporal distribution of rainfall and dual drainage model)

  • 이재현;박기홍;전창현;오재일
    • 상하수도학회지
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    • 제35권6호
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    • pp.389-403
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    • 2021
  • In this study, dual drainage system based runoff model was established for W-drainage area in G-si, and considering the various rainfall characteristics determined using Huff and Mononobe methods, the degree of flooding in the target area was analyzed and the risk was compared and analyzed through the risk matrix method. As a result, the Monobe method compared to the Huff method was analyzed to be suitable analysis for flooding of recent heavy rain, and the validity of the dynamic risk assessment considering the weight of the occurrence probability as the return period was verified through the risk matrix-based analysis. However, since the definition and estimating criteria of the flood risk matrix proposed in this study are based on the return period for extreme rainfall and the depth of flooding according to the results of applying the dual drainage model, there is a limitation in that it is difficult to consider the main factors which are direct impact on inland flooding such as city maintenance and life protection functions. In the future, if various factors affecting inland flood damage are reflected in addition to the amount of flood damage, the flood risk matrix concept proposed in this study can be used as basic information for preparation and prevention of inland flooding, as well as it is judged that it can be considered as a major evaluation item in the selection of the priority management area for sewage maintenance for countermeasures against inland flooding.

전기철도 전철전력설비의 위험도 평가 기반 안전관리에 관한 연구 (A Risk Assessment Approach to Safety Management of Electric Railway Facilities)

  • 장윤석;최규형
    • 전기학회논문지
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    • 제58권5호
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    • pp.960-967
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    • 2009
  • Power supply system of electric railway has a diversity of safety problems since it should supply high electric power to the trains moving high speed with a lot of passengers on board. This paper provides a risk assessment approach to safety management of the electric railway facilities. Construction of database from field accident information, risk assessment and management of the risk are carried out systematically to ensure the safety. The risk assessment includes hazard identification, cause analysis by FTA(Fault Tree Analysis), consequence analysis by EVA(Event Tree Analysis), and loss analysis. In terms of the severity and the probability of the accidents deduced by these analyses, the risk of the accidents is assessed by using a risk matrix designed for electric railway facilities. Based on the risk assessment, possible risk mitigation options are identified and evaluated by analyzing their impact on the risk reduction and their cost benefit ratio. The long-term safety of the electric railway facilities can be ensured by renewal of the risk assessment and the risk mitigation option analysis with continuous accident database update. The proposed approach is applied to the electric railway facilities of Korean railway based on the accident data from 2002 to 2008.

위험도 기반의 하수관로 CCTV 조사 우선순위 결정 연구 (Sewer CCTV Inspection Prioritization Based on Risk Assessment)

  • 손주영;이재현;오재일
    • 대한토목학회논문집
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    • 제37권3호
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    • pp.585-592
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    • 2017
  • 도심 내 매설된 대다수의 하수관로는 노후가 심각하게 진행되어 파손의 가능성이 높다. 또한, 도시개발의 집중도가 높아 인구밀도나 통행량이 많으므로 하수관로가 붕괴되면 사회 경제적으로 막대한 피해를 입게 된다. 따라서 관로 파손에 의한 사고를 예방하기 위해 사전적인 유지관리가 필요하며, 한정된 재원의 효율적인 활용을 위해 파손의 가능성과 피해의 규모를 동시에 고려한 위험도 기반의 우선순위 결정방안이 제시되어야 한다. 본 연구에서는, 다양한 해외 연구사례를 검토하여 위험도 기반의 하수관로의 조사 우선순위 결정 방법을 도출하였고 도심지 배수분구에 적용 검토하였다. 우선, 서울시 하수관로 GIS DB를 통해 확보 가능한 영향인자를 도출하고, 각 영향인자들의 가중치, 구분항목, 영향점수를 결정하여 가중치 환산법으로 하수관로 파손결과를 산정하였다. 또한, 하수관로의 예상 내용연수 대비 사용연수를 계산하여 파손가능성을 도출하였으며, 내츄럴 브레이크 방법으로 파손결과와 파손가능성을 5등급으로 구분하였다. 위 방법을 서울시 내 위치한 소규모 배수분구에 적용하여 위험도 매트릭스와 위험도 등급을 도출하였으며, 그 결과 전체 대상의 26%가 위험도 4-5등급인 CCTV조사 우선대상으로 선정되었다. 따라서 위험도 기반의 CCTV 우선순위 결정방법을 활용하여 조사가 우선적으로 필요한 대상을 체계적으로 결정할 수 있을 것이다.

Service Deployment Strategy for Customer Experience and Cost Optimization under Hybrid Network Computing Environment

  • Ning Wang;Huiqing Wang;Xiaoting Wang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권11호
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    • pp.3030-3049
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    • 2023
  • With the development and wide application of hybrid network computing modes like cloud computing, edge computing and fog computing, the customer service requests and the collaborative optimization of various computing resources face huge challenges. Considering the characteristics of network environment resources, the optimized deployment of service resources is a feasible solution. So, in this paper, the optimal goals for deploying service resources are customer experience and service cost. The focus is on the system impact of deploying services on load, fault tolerance, service cost, and quality of service (QoS). Therefore, the alternate node filtering algorithm (ANF) and the adjustment factor of cost matrix are proposed in this paper to enhance the system service performance without changing the minimum total service cost, and corresponding theoretical proof has been provided. In addition, for improving the fault tolerance of system, the alternate node preference factor and algorithm (ANP) are presented, which can effectively reduce the probability of data copy loss, based on which an improved cost-efficient replica deployment strategy named ICERD is given. Finally, by simulating the random occurrence of cloud node failures in the experiments and comparing the ICERD strategy with representative strategies, it has been validated that the ICERD strategy proposed in this paper not only effectively reduces customer access latency, meets customers' QoS requests, and improves system service quality, but also maintains the load balancing of the entire system, reduces service cost, enhances system fault tolerance, which further confirm the effectiveness and reliability of the ICERD strategy.