• Title/Summary/Keyword: Multi-Criteria

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Water Balance Evaluation of Final Closure Cover for Near- surface Radioactive Wastes Disposal Facility

  • Keunmoo Chang;Park, Joo-Wan;Yoon, Jeong-Hyoun;Park, Heui-Joo;Kim, Chang-Lak
    • Nuclear Engineering and Technology
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    • v.32 no.3
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    • pp.274-282
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    • 2000
  • The simulation of water balance was conducted for suggested four alternative multi-layer cover design of near-surface radioactive waste disposal facility under domestic climate condition. The analysis was also conducted for the most favorable one out of four alternative cover design under conservative scenarios. Until 100 years after closure of disposal vault, the infiltration flux for the most favorable cover design was negligible even under doubling of the ambient precipitation condition. When the degradation of asphalt and geomembrane after 100 years of closure was considered, the infiltration flux significantly increased almost to the design criteria of cover system in I' Aube disposal facility. And it was found that the hydraulic conductivity of bentonite/sand as a bottom barrier should be no greater than 1$\times$10$^{-7}$ cm/sec recommended by U.S. EPA.

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Acoustic Emission Source Classification of Finite-width Plate with a Circular Hole Defect using k-Nearest Neighbor Algorithm (k-최근접 이웃 알고리즘을 이용한 원공결함을 갖는 유한 폭 판재의 음향방출 음원분류에 대한 연구)

  • Rhee, Zhang-Kyu;Oh, Jin-Soo
    • Journal of the Korea Safety Management & Science
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    • v.11 no.1
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    • pp.27-33
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    • 2009
  • A study of fracture to material is getting interest in nuclear and aerospace industry as a viewpoint of safety. Acoustic emission (AE) is a non-destructive testing and new technology to evaluate safety on structures. In previous research continuously, all tensile tests on the pre-defected coupons were performed using the universal testing machine, which machine crosshead was move at a constant speed of 5mm/min. This study is to evaluate an AE source characterization of SM45C steel by using k-nearest neighbor classifier, k-NNC. For this, we used K-means clustering as an unsupervised learning method for obtained multi -variate AE main data sets, and we applied k-NNC as a supervised learning pattern recognition algorithm for obtained multi-variate AE working data sets. As a result, the criteria of Wilk's $\lambda$, D&B(Rij) & Tou are discussed.

A Study of Circulating Current in MMC based HVDC System under an Unbalanced Grid Condition (불평형 전원 조건에서 MMC 기반 HVDC 시스템 순환전류에 관한 연구)

  • Do, Won-Seok;Kim, Si-Hwan;Kim, Tae-Jin;Kim, Rae-Young
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.8
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    • pp.1193-1201
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    • 2015
  • This paper presents a study of circulating current of modular multi-level converter (MMC) based a high voltage direct current (HVDC) system under unbalanced grid conditions. Due to the connection of a dependent DC source in each phase, the MMC system inherently generates the power ripple of double-line-frequency components in the AC-side and as a result, the additional sinusoidal current named circulating current flows through the each arm. Reliability improvement of HVDC system under an unbalanced grid condition is one of the important criteria. Generally, the modeling of the circulating current is based on the power relation between DC-side and AC-side. However, the method is not perfectly matched in the MMC system due to the difference of the structural characteristic. In this paper, improved modeling method of circulating current is proposed, which is based on the inner arm power. The proposed method is verified by several simulations to have good agreement of the circulating current components.

Multi-Criteria decision making based on fuzzy measure

  • Sun, Yan;Feng, Di
    • Journal of Convergence Society for SMB
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    • v.3 no.2
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    • pp.19-25
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    • 2013
  • Decision procedure was done with the evaluation of multi-criterion analysis. Importance of each criterion was considered through heuristically method, specially it was based on the heuristic least mean square algorithm. To consider coalition evaluation, it was carried out by calculation of Shapley index and Interaction value. The model output is also analyzed with the help of those two indexes, and the procedure was also displayed with details. Finally, the differences between the model output and the desired results are evaluated thoroughly, several problems are raised at the end of the example which require for further studying.

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A Job Scheduling Method using Fuzzy Concepts in Multi-Server Environment (다중 서버 환경에서의 퍼지 개념을 이용한 작업할당 기법)

  • 정연돈;김종수;이지연;오석균;이광형;이윤준;김명호
    • Journal of the Korean Institute of Intelligent Systems
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    • v.7 no.5
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    • pp.8-13
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    • 1997
  • In multi-server environment there are many servers which are able to process job requests. So we bave to design a mechanism that selects appropriate servers for processing each job request while maximizing server throughput and minimizing average response time of requests. Conventional methods ac~ opt the load of each server as criteria of server selection. that is, they select a server whose load is not bigger than the others. In this work we propose an approach that uses the degree of server performance, server load and the estimated service time of requested job as guidelines of server selection. We incorporate fuzzification techniques and expert knowledge in this approach. Comparing the performances c~f our approach to that of conventional one, experiments show that the proposed approach provides better performances.

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An Enhanced Two-Phase Fuzzy Programming Model for Multi-Objective Supplier Selection Problem

  • Fatrias, Dicky;Shimizu, Yoshiaki
    • Industrial Engineering and Management Systems
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    • v.11 no.1
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    • pp.1-10
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    • 2012
  • Supplier selection is an essential task within the purchasing function of supply chain management because it provides companies with opportunities to reduce various costs and realize stable and reliable production. However, many companies find it difficult to determine which suppliers should be targeted as each of them has varying strengths and weaknesses in performance which require careful screening by the purchaser. Moreover, information required to assess suppliers is not known precisely and typically fuzzy in nature. In this paper, therefore, fuzzy multi-objective linear programming (fuzzy MOLP) is presented under fuzzy goals: cost minimization, service level maximization and purchasing risk. To solve the problem, we introduce an enhanced two-phase approach of fuzzy linear programming for the supplier selection. In formulated problem, Analytical Hierarchy Process (AHP) is used to determine the weights of criteria, and Taguchi Loss Function is employed to quantify purchasing risk. Finally, we provide a set of alternative solution which enables decision maker (DM) to select the best compromise solution based on his/her preference. Numerical experiment is provided to demonstrate our approach.

Perceptional Characteristics of Effective Safety Signs Corresponding to International Criteria (국제 기준에 부합하는 효과적 안전표지의 지각 특성)

  • Lim, Hyeon-Kyo;Park, Young-Won;Jung, Gwang-Tae
    • Journal of the Korean Society of Safety
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    • v.23 no.5
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    • pp.111-118
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    • 2008
  • In usual safety signs are final means to transmit hazard information so that the importance of them cannot be emphasized too much. Nevertheless, in Korea, few people are interested in functions of safety signs so that evaluation of safety signs are seldom committed. This research was conducted to evaluate and compare perceptional characteristics of safety signs, especially "Fall" signs, by Semantic Differential Method and Multi-dimensional Scaling Method, with undergraduate students as well as industrial workers. According to research results on several signs evaluated high through suggested procedure, action inducibility was different for students majoring in different sciences, but it had common elements in the sense of 'openness' or 'arrangements'. Besides, perceptional images on safety signs were mainly recognized with bases of 'arrangement' for student group and 'simplicity' for industrial workers, respectively, and their maps corresponded well with each other by partial rotating so that students and workers seemed to recognize safety signs with similar factors though their name might be different. However, since perceptional characteristics including image map, comprehensibility, and action inducibility were similar for student group whereas those were not for worker group, it was concluded that the test for action inducibility would be absolutely necessary for safety signs for workers' group.

Multiple Faults Diagnosis in Induction Motors Using Two-Dimension Representation of Vibration Signals (진동 신호의 2차원 변환을 통한 유도 전동기 다중 결함 진단)

  • Jeong, In-Kyu;Kang, Myeongsu;Jang, Won-Chul;Kim, Jong-Myon
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2013.10a
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    • pp.338-345
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    • 2013
  • Induction motors play an increasing importance in industrial manufacturing. Therefore, the state monitoring systems also have been considering as the key in dealing with their negative effect by absorbing faulty symptoms in motors. There are numerous proposed systems in literature, in which, several kinds of signals are utilized as the input. To solve the multiple faults problem of induction motors, like the proposed system, the vibration signals is good candidate. In this study, a new signal processing scheme was utilized, which transforms the time domain vibration signal into the spatial domain as an image. Then the spatial features of converted image then have been extracted by applying the dominant neighbourhood structure (DNS) algorithm. In addition, these feature vectors were evaluated to obtain the fruitful dimensions, which support to discriminate between states of motors. Because of reliability, the conventional one-against-all (OAA) multi-class support vector machines (MCSVM) have been utilized in the proposed system as classifier module. Even though examined in severity levels of signal-to-noise ratio (SNR), up to 15dB, the proposed system still reliable in term of two criteria: true positive (TF) and false positive (FP). Furthermore, it also offers better performance than five state-of-the-art systems.

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A Survey on Asynchronous Quorum-Based Power Saving Protocols in Multi-Hop Networks

  • Imani, Mehdi;Joudaki, Majid;Arabnia, Hamid R.;Mazhari, Niloofar
    • Journal of Information Processing Systems
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    • v.13 no.6
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    • pp.1436-1458
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    • 2017
  • Quorum-based algorithms are widely used for solving several problems in mobile ad hoc networks (MANET) and wireless sensor networks (WSN). Several quorum-based protocols are proposed for multi-hop ad hoc networks that each one has its pros and cons. Quorum-based protocol (QEC or QPS) is the first study in the asynchronous sleep scheduling protocols. At the time, most of the proposed protocols were non-adaptive ones. But nowadays, adaptive quorum-based protocols have gained increasing attention, because we need protocols which can change their quorum size adaptively with network conditions. In this paper, we first introduce the most popular quorum systems and explain quorum system properties and its performance criteria. Then, we present a comparative and comprehensive survey of the non-adaptive and adaptive quorum-based protocols which are subsequently discussed in depth. We also present the comparison of different quorum systems in terms of the expected quorum overlap size (EQOS) and active ratio. Finally, we summarize the pros and cons of current adaptive and non-adaptive quorum-based protocols.

Study of analysis on body part terminology from Korean medicine formula data in comparison with WHO ICD-11 (ICD-11과의 비교를 통한 한의학 처방데이터 내의 인체부위 용어 분석 연구)

  • Kim, Anna;Lee, Sanghun;Oh, Yongtaek
    • Herbal Formula Science
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    • v.30 no.3
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    • pp.183-189
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    • 2022
  • Objective : This study aims to analyze the current use of body part terminology in Korean medicine formula data by comparing with ICD-11 body part terminology as a criteria. Methods : Body part terminology was extracted from the main treatment data within the Korean Medicine formula ontology and was analyzed in comparison with the ICD-11 body part terminology. Results : Out of 113 body part terminologies in Korean medicine, 92 were corresponded with ICD in a one-to-one, one-to-multi, or multi-to-one relation. Also, most body part terminologies were corresponded to superordinate concepts of ICD while 21 terminologies were not able to be corresponded to ICD. Conclusion : A majority of body part terminology in formula data could be corresponded to ICD but mostly refered to superordinate concepts. Results showed various types of corresponding relation which requires further study for precise and detailed correspondence. Also, study showed some terminologies were not applicable for correspondence which were mostly a unique body part concept of Korean medicine which requires further study to present Korean Medicine knowledge accurately in the language of ICD.