• 제목/요약/키워드: Selection Capability

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Integration of Expert Systems Into Decision Support Systems for Decision-Making

  • Park, Young H.
    • 품질경영학회지
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    • 제17권2호
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    • pp.113-120
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    • 1989
  • The purposes of this paper are to compare expert systems and decision support systems, and illustrate the possible benefits when expert systems are integrated into the model base of a decision support systems for supporting decision-makers. Integrating expert systems capability into decision support systems may enhance the quality and efficiency of both computerized systems. This integration can improve selection of model, analysis, model management, judgement, and modeling. Thus the results are much more powerful decision support systems than are presently available.

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VEHICLE ROUTING PROBLEM FOR PUBLIC TRANSPORT: A CASE STUDY

  • Gunadi W. Nurcahyo;Alias, Rose-Alinda;Mohd. Noor Md. Sap
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -2
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    • pp.1180-1183
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    • 2002
  • Types of problems and solutions to vehicle routing problems are discussed. A case study on a public transport is conducted to discover the characteristics of problems in route selection. The characteristics of problems solved by certain technique or algorithm are also studied to investigate the capability of current techniques in solving public bus routing.

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반응면 기법을 이용한 자동차 엔진 냉각팬의 저소음설계 (Optimization of Automotive Engine-cooling Fan Noise Using Response Surface Method)

  • 이정한;안재권;이수갑
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2000년도 춘계학술대회논문집
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    • pp.407-412
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    • 2000
  • Response surface method is employed in optimizing the acoustic performance of automotive engine-cooling axial fans. The effects of modifications in blade geometry on noise reduction are investigated. Taking the far-field noise level as the objective, a quadratic response surface is constructed utilizing D-Optimality condition as the candidate-points selection criteria. It is shown that the quadratic model exhibits an excellent fitting capability resulting in the blade design with low far-field noise level.

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자전차도로의 구배설계기준에 관한 연구 (Guideline for Vertical Length by Grade for Bikeway)

  • 송창용;장명순;하동익
    • 대한교통학회지
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    • 제12권4호
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    • pp.21-33
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    • 1994
  • The grade is a very significant factor in designing the bikeways. It affects the cyclist's maneuverability as well as route selection. The objective of this paper is to provide the vertical length by grade for bikeway. Field experiments were conducted by primary school children and university students to collect and analyze bike's climbing capability by grade. Combined data suggests that the desirable vertical length is 360m for 3% grade, 220m for 4%, 160m for 5%, 120m for 6% and 90m for 7% grade.

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DECISION SUPPORT SYSTEM FOR CUTTING PARAMETERS SELECTION IN MACHINING PROCESSES USING FUZZY KNOWLEDGE

  • Balazinski, M.;Bellerose, M.;Czogala, E.
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.798-801
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    • 1993
  • This paper presents the decision support system using fuzzy knowledge to adapt the cutting conditions chosen by a conventional expert system to a particular machine tool, workpiece and clamping system. These preliminary results demonstrate the capability of fuzzy logic to adjust cutting parameters taking into account parameters difficult to quantify.

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작업지향형 매니퓰레이터 기구설계기법에 관한 연구 (A Study of Kinematic Selection and Design of Manipulator Aimed to Specified Task)

  • 이희돈;유승남;고광진;한창수
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회A
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    • pp.939-944
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    • 2007
  • Generally, development of a robot capable of fast movements or high payloads is progressed by the analysis of dynamic characteristics, DOF positioning, actuator selection, structure of links, and so on. This paper highlights the design of a robot manipulator handled by a human for man-machine cooperation. The requirements of the proposed system include its having multi-DOF(Degree of Freedom)and the capacity for a high payload in the condition of its maximum reach. The primary investigation factors are motion range, performance within the motion area, and reliabilityduring the handling of heavy materials. Traditionally, the mechanical design of robots has been viewed as a problem of packaging motors and electronics into a reasonable structure. This process usually transpires with heavy reliance of designerexperience. Not surprisingly, the traditional design process contains no formally defined rules for achieving desirable results, as there is little opportunity for quantitative feedback during the formative stages. This work primarily focuses on the selection of proper joint types and link lengths, considering a specific task type and motion requirements of the heavy material handling.

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PESQ-Based Selection of Efficient Partial Encryption Set for Compressed Speech

  • Yang, Hae-Yong;Lee, Kyung-Hoon;Lee, Sang-Han;Ko, Sung-Jea
    • ETRI Journal
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    • 제31권4호
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    • pp.408-418
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    • 2009
  • Adopting an encryption function in voice over Wi-Fi service incurs problems such as additional power consumption and degradation of communication quality. To overcome these problems, a partial encryption (PE) algorithm for compressed speech was recently introduced. However, from the security point of view, the partial encryption sets (PESs) of the conventional PE algorithm still have much room for improvement. This paper proposes a new selection method for finding a smaller PES while maintaining the security level of encrypted speech. The proposed PES selection method employs the perceptual evaluation of the speech quality (PESQ) algorithm to objectively measure the distortion of speech. The proposed method is applied to the ITU-T G.729 speech codec, and content protection capability is verified by a range of tests and a reconstruction attack. The experimental results show that encrypting only 20% of the compressed bitstream is sufficient to effectively hide the entire content of speech.

어린이집 원장의 초임보육교사 채용에 대한 인식과 선발과정에 관한 연구 (Daycare Center Director's Perception and Selection Process on the Recruitment of Beginning Teacher)

  • 오새니;이상희
    • 한국보육지원학회지
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    • 제16권2호
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    • pp.25-45
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    • 2020
  • Objective: The purpose of this study is to explore daycare-center director's perceptons of recruitment and to understand how hire beginning teachers. Methods: One hundred twenty-five directors of daycare-centers in Seoul, Incheon, and Gyeonggi-do Province answered a questionnaire that was developed by researchers. The results were analyzed by frequency analysis, descriptive statistics and multiple response analysis through SPSS 18.0. Furthermore, 17 of the directors that participated in the study were given individual interviews by qualitative methods for research. Results: First, 56.8% of the directors felt difficulty to employ beginning teachers because of 'lack of information about them' and 'uncertainty of practice capability.' On the other hand, other directors of daycare-centers said that they hire them for 'high acceptance' and 'operational efficiency of the daycare-center.' Second, the main way to recruit teachers for daycare-centers is open recruitment, and through recommendations of acquaintances or through colleges in relevant fields. Professional talent and personal characteristics were important selection criteria for recruitment, and daycare-center directors used interviews, résumés, cover-letters, and demo classes for the hiring process. Primarily, most directors select candidates through résumés and cover-letters, and the final selection is completed by conducting interviews. Conclusion/Implications: In conclusion, this study can be useful to prepare beginning teachers for employment and for educating applicants.

행동기반 제어방식을 위한 득점과 학습을 통한 행동선택기법 (Action Selection by Voting with Loaming Capability for a Behavior-based Control Approach)

  • 정석민;오상록;윤도영;유범재;정정주
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.163-168
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    • 2002
  • The voting algorithm for action selection performs self-improvement by Reinforcement learning algorithm in the dynamic environment. The proposed voting algorithm improves the navigation of the robot by adapting the eligibility of the behaviors and determining the Command Set Generator (CGS). The Navigator that using a proposed voting algorithm corresponds to the CGS for giving the weight values and taking the reward values. It is necessary to decide which Command Set control the mobile robot at given time and to select among the candidate actions. The Command Set was learnt online by means as Q-learning. Action Selector compares Q-values of Navigator with Heterogeneous behaviors. Finally, real-world experimentation was carried out. Results show the good performance for the selection on command set as well as the convergence of Q-value.

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Energy-Efficiency and Transmission Strategy Selection in Cooperative Wireless Sensor Networks

  • Zhang, Yanbing;Dai, Huaiyu
    • Journal of Communications and Networks
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    • 제9권4호
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    • pp.473-481
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    • 2007
  • Energy efficiency is one of the most critical concerns for wireless sensor networks. By allowing sensor nodes in close proximity to cooperate in transmission to form a virtual multiple-input multiple-output(MIMO) system, recent progress in wireless MIMO communications can be exploited to boost the system throughput, or equivalently reduce the energy consumption for the same throughput and BER target. However, these cooperative transmission strategies may incur additional energy cost and system overhead. In this paper, assuming that data collectors are equipped with antenna arrays and superior processing capability, energy efficiency of relevant traditional and cooperative transmission strategies: Single-input-multiple-output(SIMO), space-time block coding(STBC), and spatial multiplexing(SM) are studied. Analysis in the wideband regime reveals that, while receive diversity introduces significant improvement in both energy efficiency and spectral efficiency, further improvement due to the transmit diversity of STBC is limited, as opposed to the superiority of the SM scheme especially for non-trivial spectral efficiency. These observations are further confirmed in our analysis of more realistic systems with limited bandwidth, finite constellation sizes, and a target error rate. Based on this analysis, general guidelines are presented for optimal transmission strategy selection in system level and link level, aiming at minimum energy consumption while meeting different requirements. The proposed selection rules, especially those based on system-level metrics, are easy to implement for sensor applications. The framework provided here may also be readily extended to other scenarios or applications.