• 제목/요약/키워드: Decision Status Measure

검색결과 26건 처리시간 0.028초

DEVELOPMENT OF A MAJORITY VOTE DECISION MODULE FOR A SELF-DIAGNOSTIC MONITORING SYSTEM FOR AN AIR-OPERATED VALVE SYSTEM

  • KIM, WOOSHIK;CHAI, JANGBOM;KIM, INTAEK
    • Nuclear Engineering and Technology
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    • 제47권5호
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    • pp.624-632
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    • 2015
  • A self-diagnostic monitoring system is a system that has the ability to measure various physical quantities such as temperature, pressure, or acceleration from sensors scattered over a mechanical system such as a power plant, in order to monitor its various states, and to make a decision about its health status. We have developed a self-diagnostic monitoring system for an air-operated valve system to be used in a nuclear power plant. In this study, we have tried to improve the self-diagnostic monitoring system to increase its reliability. We have implemented three different machine learning algorithms, i.e., logistic regression, an artificial neural network, and a support vector machine. After each algorithm performs the decision process independently, the decision-making module collects these individual decisions and makes a final decision using a majority vote scheme. With this, we performed some simulations and presented some of its results. The contribution of this study is that, by employing more robust and stable algorithms, each of the algorithms performs the recognition task more accurately. Moreover, by integrating these results and employing the majority vote scheme, we can make a definite decision, which makes the self-diagnostic monitoring system more reliable.

시설 거주노인의 자아존중감과 건강상태가 적응에 미치는 영향 (Effects of Self-esteem and Health Status on Adaptation of Elderly Residents in Facilities)

  • 양남영;문선영
    • 성인간호학회지
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    • 제22권5호
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    • pp.552-560
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    • 2010
  • Purpose: This study was designed to identify effects of self-esteem and health status on adaptation of elderly residents in facilities. Methods: The sample consisted of 151 elderly residents. The data collected from January to April 2010 were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and stepwise multiple regression. Using instruments were self-esteem scale (SES) (Rosenberg, 1965), Korean health status measure for the elderly (KoHSME) (Shin et al, 2002), and nursing home adaptation scale (Lee, 2007). Results: The mean scores of self-esteem ($2.90{\pm}0.71$), health status ($2.15{\pm}0.53$) and adaptation ($2.98{\pm}0.44$) of elderly residents in facilities were above the average. Self-esteem was significantly varied according to religion, economic status and living expenses. Health status was significantly different according to age, disease and motivation of getting into the facilities. Adaptation was significantly different according to religion, satisfaction of facilities and decision maker of getting into the facilities. Significant correlations were found between self-esteem, health status and adaptation. Self-esteem and health status were influencing factors of adaptation (22.6%). Conclusion: These findings indicate that perceived self-esteem and health status may be requirements for promoting adaptation of elderly residents in facilities. These results could be utilized in the development of supportive programs for elderly adaptation.

누적합 관리도에 대한 새로운 성능 평가 기준 (A New Performance Criterion for Cusum Control Chart)

  • 이윤동;안병진
    • 품질경영학회지
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    • 제33권4호
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    • pp.96-102
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    • 2005
  • Cusum control chart is an efficient method to detect the change of process status. Many variants of cusum have considered, and the effects of design parameters have reviewed. To find the best cusum out of variants and to decide the best values of the design parameters, we need a criterion measuring the performance of the cusum control chart. People used and suggested several criterions which appear to be similar, but those have quite different properties. In this paper we review the properties of performance measure of cusum and its variants. Our goal is to provide fair and impartial criterion for comparison of cusums when the decision boundaries of the cusums are much different each other. We comparatively tested newly suggested measure and traditional measure with the examples of cumulative scored chart as a special case of cusum chart.

분산 탐지 시스템을 위한 협업적 의사 결정 (A Collaborative decision making for distributed detection system)

  • 아쉬팍 후세인 파루키;왕진;파루크 아슬람 칸;이승룡
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(D)
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    • pp.115-117
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    • 2011
  • Intrusion detection systems (IDS) are supposed to be an efficient safety measure against inside attacks. In purely distributed IDS approach, IDS agent is installed in every node. It checks abnormal behavior of neighboring nodes locally. It collects the data that it receives from nodes in its radio range. Sensor nodes audit that data and generate alerts for abnormal activity. Here, there are two ways of taking decision. First, it can take decision individually and second, it can communicate with its neighbor to find the status of the claimed compromised nodes. In this paper, we propose a collaborative decision making scheme for purely distributed detection system. The proposed scheme is light weight compared to consensus based validation methodology. It provides a better scheme to find intrusions by interacting with other nodes.

컴퓨터 바이러스 분류를 위한 퍼지 클러스터 기반 진단시스템 (Fuzzy Cluster Based Diagnosis System for Classifying Computer Viruses)

  • 이현숙
    • 정보처리학회논문지B
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    • 제14B권1호
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    • pp.59-64
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    • 2007
  • 중요한 정보를 저장하고 있는 컴퓨터를 위협하는 바이러스는 점점 현실적인 문제로 대두되고 있다. 이를 위하여 바이러스 침입 발견을 위한 소프트웨어 기술 또한 계속 발전되고 있으나, 현재까지의 표준 기술은 알려진 바이러스의 시그내쳐 패턴을 저장하여 이를 매치 검색하면서 바이러스를 찾아내는 방식을 채택하고 있다. 이는 알려진 바이러스에 대해서는 효과적이지만 새로운 바이러스를 찾아내지 못하고 손실을 당한 후 에야 찾을 수 있는 단점을 가지고 있다. 이를 위하여 바이러스 정보 구축과 탐색에 학습기능을 도입함으로 새로 발생하는 바이러스를 찾아내어 대처할 수 있는 방법이 필요하다. 본 논문에서는 컴퓨터 바이러스를 위한 퍼지 진단 시스템 FDS를 제안한다. FDS에서는 FCM 알고리즘을 사용하여 알려진 정보의 클러스터를 형성하고 대표정보를 추출하고 여기에 전문가의 지식을 포함하는 지식베이스를 구축한다. 진단을 위한 컴퓨터 파일에 대하여 그 파일의 결정 상태를 확인하고 이미 저장된 지식베이스를 바탕으로 바이러스 침입에 대한 정보를 보고하도록 설계되어있다. 이 시스템은 이미 알려진 테스트 데이터와 이전에 알려지지 않은 새로운 테스트 데이터를 실험데이터로 준비하여 널리 알려진 분류 알고리즘-KNN, RF, SVM-과 함께 성능을 비교하였다. 제안된 시스템이 알려지지 않은 컴퓨터 바이러스를 효과적으로 진단할 수 있는 타당성을 보이고 있다.

Maximizing Network Utilization in IEEE 802.21 Assisted Vertical Handover over Wireless Heterogeneous Networks

  • Pandey, Dinesh;Kim, Beom Hun;Gang, Hui-Seon;Kwon, Goo-Rak;Pyun, Jae-Young
    • Journal of Information Processing Systems
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    • 제14권3호
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    • pp.771-789
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    • 2018
  • In heterogeneous wireless networks supporting multi-access services, selecting the best network from among the possible heterogeneous connections and providing seamless service during handover for a higher Quality of Services (QoSs) is a big challenge. Thus, we need an intelligent vertical handover (VHO) decision using suitable network parameters. In the conventional VHOs, various network parameters (i.e., signal strength, bandwidth, dropping probability, monetary cost of service, and power consumption) have been used to measure network status and select the preferred network. Because of various parameter features defined in each wireless/mobile network, the parameter conversion between different networks is required for a handover decision. Therefore, the handover process is highly complex and the selection of parameters is always an issue. In this paper, we present how to maximize network utilization as more than one target network exists during VHO. Also, we show how network parameters can be imbedded into IEEE 802.21-based signaling procedures to provide seamless connectivity during a handover. The network simulation showed that QoS-effective target network selection could be achieved by choosing the suitable parameters from Layers 1 and 2 in each candidate network.

CIM 시스템에서 기계가공과 AGV 의 운영을 위한 동적 작업배정 알고리듬 (A Dynamic Dispatching Algorithm for Operation of Automated Guided Vehicles and Machines in CIM Systems)

  • 김정욱;이종태
    • 대한산업공학회지
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    • 제21권1호
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    • pp.85-101
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    • 1995
  • Automated Guided Vehicles(AGVs) are widely used in computer integrated manufacturing(CIM) systems for material handling purposes. Although automated guided vehicles provide higher levels of flexibility and computer integrability, the installations are limited in number and one of the critical reasons lies in the complexity involved in the operation. The main objective of this research is to alleviate this problem by proposing efficient integrated operational control methods for AGV-based CIM systems. Particularly, this research is concerned with the mixed problem of dispatching automated guided vehicles and scheduling machines operation. The proposed dynamic heuristic algorithm uses various priority schemes and relevant information concerning the load of the system, the status of queues, and the position of AGVs in the scheduling process. The scheduling decision process is hierarchical in the sense that different decision criteria are applied sequentially to identify the most appropriate part to be served. This algorithm consists of two sections, the section of part selection by AGVs for the next service whenever an AGV completes the current assignment, and the section of part selection by machines for next service whenever a machine completes the current operation. The proposed algorithm has been compared with other scheduling schemes using the performance measure of mean flow-time and mean tardiness. Simulation results indicate that the proposed algorithm can reduce the mean flow-time and mean tardiness significantly.

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Statistical Methodologies for Scaling Factor Implementation: Part 1. Overview of Current Scaling Factor Method for Radioactive Waste Characterization

  • Kim, Tae-Hyeong;Park, Junghwan;Lee, Jeongmook;Kim, Junhyuck;Kim, Jong-Yun;Lim, Sang Ho
    • 방사성폐기물학회지
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    • 제18권4호
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    • pp.517-536
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    • 2020
  • The radionuclide inventory in radioactive waste from nuclear power plants should be determined to secure the safety of final repositories. As an alternative to time-consuming, labor-intensive, and destructive radiochemical analysis, the indirect scaling factor (SF) method has been used to determine the concentrations of difficult-to-measure radionuclides. Despite its long history, the original SF methodology remains almost unchanged and now needs to be improved for advanced SF implementation. Intense public attention and interest have been strongly directed to the reliability of the procedures and data regarding repository safety since the first operation of the low- and intermediate-level radioactive waste disposal facility in Gyeongju, Korea. In this review, statistical methodologies for SF implementation are described and evaluated to achieve reasonable and advanced decision-making. The first part of this review begins with an overview of the current status of the scaling factor method and global experiences, including some specific statistical issues associated with SF implementation. In addition, this review aims to extend the applicability of SF to the characterization of large quantities of waste from the decommissioning of nuclear facilities.

국제 OEM 거래상의 분쟁해결에 관한 사례연구 (Case Analysis on Dispute Resolution in International OEM Transactions)

  • 박원형;김성만
    • 무역상무연구
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    • 제47권
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    • pp.79-104
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    • 2010
  • The Original Equipment Manufacturer(OEM) Export is one of the most frequent trading system in international transactions, especially for Korean export companies. Even with vast majority of benefits of OEM Export, it still has two sides: bright and dark. Frequently, uneven position between parties drives a party to endure transactional practices harsh and unconscionable. A Recent case in one Korean court shows another aspect of OEM transactions. For the provisional measure against unilateral termination of the contract, it contain essential legal issues that can arise in international OEM transactions, like international jurisdiction, interpretation of contracts, termination of contracts, etc. Deep analysis of several issues in the case, apart from the court's decision, is expected to give insight into the legal status of the parties for strategic operations of OEM practices.

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Why Genuine Luxury Brands Are Consumed? Counterfeits? Examining Consumer Identification

  • Suh, Hyunsuk
    • Asia Marketing Journal
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    • 제14권3호
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    • pp.69-102
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    • 2012
  • Owing to increased number of luxury brand users, both genuine and counterfeit luxury product consumption continues to increase every year. Luxury brand is defined as use or display of a particular branded products which brings the ownership prestige apart from its functional utility(Grossmand and Shapiro 1988). Some luxury brands have imitations sold in marketplace due to their popularity. These imitations or counterfeits have been jumping on the bandwagon of the upturn in sales of their originals. The purpose of our study is to understand consumer's underlying motives to consume luxury brands, genuine and or counterfeits. To do this, we propose functional theories of attitudes, decision-making styles, and life attitudes to form the determining causes for different consumption choices of luxury brands: genuine brands, counterfeit brands, both genuine and counterfeit brands, and no consumption on luxury brands types. In proposed causal pathways, we examine moderated effects of socio-psychological factors to further investigate if consumer profiles would exert influences in causal relationships. From the existing theories of functional attitudes: value-expressive and social-adjustive attitudes, we developed and introduced a new measure of rationality-consumptive attitude. From the existing eight decision-making characteristics of consumer styles inventory(CSI), three measures of high-quality, hedonic-shopping, and price-shopping styles were primarily applied in the study along with newly introduced measure of 'high-price' being added, which makes four total. Seven life attitude measures of life purpose, life control, will to meaning, goal seeking, future mean to fulfill, life satisfaction, and religiosity were applied. Finally, such socio-psychological measures as age, gender, marital status, income, and age-gap between couples were assumed to function as moderators. With 430 valid study samples, ages from 20s to 50s, with more females(316) than males(114), with average personal possessions of 5 genuine and 9 counterfeit luxury brands, we conducted questionnaire survey. Results indicated that social-adjustive function is totally disappeared in the relationship due to current social trend of widespread consumptions on both genuine and counterfeit brands which in turn, make consumers feel less special on wearing or carrying them unlike in the past. Self-expressive function and rationality-consumptive functions act as strong catalysts for genuine brand consumption and counterfeit brand consumption, respectively. On consumers' decision-making styles, high-price sublation is the most powerful indicator anticipating counterfeit consumption, even more powerful than personal incomes. In life attitude, the overall model fit was not validated, and only life control and life satisfaction are proven to be significant on both genuine and counterfeit product consumptions. Employment of socio-psychological factors in the model improved understanding of users further. Young consumers tend to go for genuine products over counterfeits. Consumers in different income groups; low, medium and high, all significantly consume genuine products for reasons of different decision-making styles. The results indicated that consumers whose personal disposition is predisposed to consume products in the form of reflection of his or her personality, go only for genuine brands for quality reason, while consumers who rationally consume products for its function or usability, go only for counterfeits for high-price sublation reason. Meanwhile, both product users support for high-price orientation who are not well off.

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