• Title/Summary/Keyword: evaluation rule

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EVALUATIONS OF THE IMPROPER INTEGRALS ${\int}_0^{\infty}$[sin$^{2m}({\alpha}x)]/(x^{2n})dx$ AND ${\int}_0^{\infty}$[sin$^{2m+1}({\alpha}x)]/(x^{2n+1})dx$

  • Qi, Feng;Luo, Qiu-Ming;Guo, Bai-Ni
    • The Pure and Applied Mathematics
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    • v.11 no.3
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    • pp.189-196
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    • 2004
  • In this article, using the L'Hospital rule, mathematical induction, the trigonometric power formulae and integration by parts, some integral formulae for the improper integrals ${\int}_0^{\infty}$[sin$^{2m}({\alpha}x)]/(x^{2n})dx$ AND ${\int}_0^{\infty}$[sin$^{2m+1}({\alpha}x)]/(x^{2n+1})dx$ are established, where m $\geq$ n are all positive integers and $\alpha$$\neq$ 0.

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Elastic Rule Discovering in Sequence Databases (시퀀스 데이터베이스에서 유연 규칙의 탐사)

  • Park, Sang-Hyun;Kim, Sang-Wook;Kim, Man-Soon
    • Journal of Industrial Technology
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    • v.21 no.A
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    • pp.147-153
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    • 2001
  • This paper presents techniques for discovering rules with elastic patterns. Elastic patterns are useful for discovering rules from data sequences with different sampling rates. For fast discovery of rules whose heads and bodies are elastic patterns, we construct a suffix tree from succinct forms of data sequences. The suffix tree is a compact representation of rules, and is also used as an index structure for finding rules matched to a target head sequence. When matched rules cannot be found, the concept of rule relaxation is introduced. Using a cluster hierarchy and a relaxation error, we find the least relaxed rules that provide the most specific information on a target head sequence. Performance evaluation through extensive experiments reseals the effectiveness of the proposed approach.

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Extracting Method of Kansei Design Rules Based on Rough Set Analysis

  • Nishino, Tatsuo;Nagamachi, Mitsuo
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.05a
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    • pp.201-204
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    • 2002
  • Kansei design knowledge acquisition stage is a crucial stage in kansei designing process and kansei engineering (KE) methodology. In kansei engineering methodology, it is essential to extract design knowledge or rules on relationships between customer's kansei and product design element. We attempt to construct a more powerful melted for extracting the design rules from kansei expremental data. We constucted a kansei experiment concerning color kansei evaluation, and analyzed the sane data by both conventional quantification theory type I and rough set theory. Finally, we compared the effectiveness of both methods for extracting rules and examined the extensions of rough set theory in kansei engineering.

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Performance Improvement of MOS type FDIS using Fuzzy Logic (퍼지논리를 이용한 다중관측자 구조 FDIS의 성능개선)

  • Ryu, Ji-Su;Park, Tae-Geon;Lee, Kee-Sang
    • Proceedings of the KIEE Conference
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    • 1998.07b
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    • pp.410-413
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    • 1998
  • A passive approach for enhancing fault detection and isolation performance of multiple observer based fault detection isolation schemes(FDIS) is proposed. The FDIS has a hierarchical framework to perform detection and isolation of faults of interest, and diagnosis of process faults. The decision unit comprises of a rule base and fuzzy inference engine and removes some difficulties of conventional decision unit which includes crisp logic and threshold values. Emphasis is placed on the design and evaluation methods of the diagnostic rule base. The suggested scheme is applied for the FDIS design for a DC motor driven centrifugal pump system.

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Evaluation on Effectiveness of Rail Grinding by Prediction of Rail Fatigue Life (레일 피로수명 예측에 따른 레일 연마의 효용성 평가)

  • Kim, Man-Cheol
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.255-261
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    • 2008
  • The importance of maintenance of rail surface defects is increasing according to the KTX operation. That is because during high speed operation of rolling stocks, rail surface defects shorten fatigue life of rail, accelerate track degradation and deteriorate ride comfort. Rail grinding has been applied for effective rail maintenance in Kyeong-Bu HS line. This paper evaluates the effectiveness of rail grinding in term of rail fatigue life. To this end, the stresses of the ground rail are measured under KTX running and the equivalent stress range is calculated by RMC after the frequency analysis done with Rainflow counting method. Also, Pamglen-Miner rule is applied to predict the fatigue life of ground rail. The result of the analysis shows that the fatigue life of ground rail is increased by 15%.

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Evaluation of Appointment Policy and Scheduling Rule for a Dental Clinic Based on Computer Simulation (시뮬레이션을 이용한 치과의원의 예약정책과 스케줄링 규칙 평가)

  • Lee, Jong-Ki;Kim, Myeng-Ki;Ha, Byung-Hyun
    • Korea Journal of Hospital Management
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    • v.16 no.4
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    • pp.161-182
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    • 2011
  • In today's competitive dental markets, it is of paramount importance to improve service quality and at the same time to use scarce resource efficiently. In this study, we present appointment policies and scheduling rules for private dental clinics to reduce the waiting time of patients and to increase the revenue by utilizing resource more effectively. This study validates the proposed appointment policies and scheduling rules based on simulation models. We show that the bottleneck-based appointment policy is the most effective among appointment policies, followed by the multiple-block appointment one. The shortest processing time among scheduling rules contributes most to the performance of the appointment system.

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Contingency Severity Ranking Using Direct Method in Power Systems (전력계통에 있어서 직접법을 활용한 상정사고 위험순위 결정)

  • Lee, Sang-Keun
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.54 no.2
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    • pp.67-72
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    • 2005
  • This paper presents a method to select contingency ranking considering voltage security problems in power systems. Direct method which needs not the detailed knowledge of the post contingency voltage at each bus is used. Based on system operator's experience and knowledge, the membership functions for the MVAR mismatch and allowable voltage violation are justified describing linguistic representation with heuristic rules. Rule base is used for the computation of severity index for each contingency by fuzzy inference. Contingency ranking harmful to the system is formed by the index for security evaluation. Compared with 1P-1Q iteration, this algorithm using direct method and fuzzy inference shows higher computation speed and almost the same accuracy. The proposed method is applied to model system and KEPCO pratical system which consists of 311 buses and 609 lines to show its effectiveness.

A Word List Construction and Measurement Method for Intelligibility Assessment of Synthesized Speech by Rule (규칙 합성음의 이해성 평가를 위한 단어표 구성 및 실험법)

  • 김성한;홍진우;김순협
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.1
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    • pp.43-49
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    • 1992
  • As a result of recent progress in speech synthesis techniques, the those new services using new techniques are going to introduce into the telephone communication system. In setting standards, voice quality is obviously an important criterion. It is very important to develope a quality evaluation method of synthesized speech for the diagnostic assessment of system algorithm, and fair comparison of assessment values. This paper has described several basic concepts and criterions for quality assessment (intelligibility) of synthesized speech by rule, and then a word selection method and the word list to be used in word intelligibility test were proposed. Finally, a test method for word intelligibility is described.

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Evaluation of the Pi-SAR Data for Land Cover Discrimination

  • Amarsaikhan, D.;Sato, M.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1087-1089
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    • 2003
  • The aim of this study is to evaluate the Pi-SAR data for land cover discrimination using a standard method. For this purpose, the original polarization and Pauli components of the Pi-SAR X-band and L-band data are used and the results are compared. As a method for the land cover discrimination, the traditional method of statistical maximum likelihood decision rule is selected. To increase the accuracy of the classification result, different spatial thresholds based on local knowledge are determined and used for the actual classification process. Moreover, to reduce the speckle noise and increase the spatial homogeneity of different classes of objects, a speckle suppression filter is applied to the original Pi-SAR data before applying the classification decision rule. Overall, the research indicated that the original Pi-SAR polarization components can be successfully used for separation of different land cover types without taking taking special polarization transformations.

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Design of Graduation Evaluation System using BRMS (BRMS를 이용한 졸업사정시스템의 설계)

  • Park, Jong-Cheol;Kim, Gi-Hwan;Kang, Eun-Ji;Kim, MoonJeong;Park, Choong-Shik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.293-296
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    • 2009
  • 비즈니스 룰(Business Rule)은 하나의 목적을 성취하기 위해 조직에 적용하는 운영, 정의, 제약으로 구성되는 하나의 규칙이다. 이를 효율적으로 통합 관리하는 시스템이 BRMS(Business Rule Management System)이다. 대학에서의 졸업사정은 학사과정의 마지막 단계로 여러 복합적 충족 여부를 검사하는 과정이다. 학교의 전반적인 규칙이나 해마다 교육과정의 변화가 있어 프로그래밍 구현이 어렵고, 졸업사정시스템을 전산화하기 힘들다. 본 논문에서는 비즈니스 룰의 장점들을 활용해 변화를 빠르고 정확하게 반영하는 BRMS를 이용하여 졸업사정시스템의 설계를 제안하고자 한다.

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