• Title/Summary/Keyword: Operator Performance

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Analysis of the Human Performance and Communication Effects on the Operator Tasks of Military Robot Vehicles by Using Extended Petri Nets (확장된 페트리네트를 이용한 차량형 군사로봇의 운용자 성능 및 통신장애 영향분석)

  • Choi, Sang Yeong;Yang, Ji Hyeon
    • Korean Journal of Computational Design and Engineering
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    • v.22 no.2
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    • pp.162-171
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    • 2017
  • Unmanned military vehicles (UMVs) are most commonly characterized as dealing with dull, dirty, and dangerous tasks with automation. Although most of the UMVs are designed to a high degree of autonomy, the human operator will still intervene in the robot's operation, and teleoperate them to achieve his or her mission. Thus, operator capacity, together with robot autonomy and user interface, is one of the most important design factors in the research and development of the UMVs. Further, communication may affect the operator task performance. In this paper, we analyze the operator performance and the communication effects on the operator performance by using the extended Petri nets, called OTSim nets. The OTSim nets was designed by the authors, being extended using pure Petri nets.

Extracting Flick Operator for Predicting Performance by GOMS Model in Small Touch Screen

  • Choi, Mikyung;Lee, Bong Geun;Oh, Hyungseok;Myung, Rohae
    • Journal of the Ergonomics Society of Korea
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    • v.32 no.2
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    • pp.179-187
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    • 2013
  • Objective: The purpose of this study is to extract GOMS manual operator, except for an experiment with participants. Background: The GOMS model has advantage of rapid modeling which is suitable for the environment of technology development which has a short life cycle products with a fast pace. The GOMS model was originally designed for desktop environment so that it is not adequate for implementing into the latest HCI environment such as small touch screen device. Therefore, this research proposed GOMS manual operator extraction methodology which is excluded experimental method. And flick Gesture was selected to explain application of proposed methodology to extract new operator. Method: Divide into start to final step of hand gesture needed to extract as an operator through gesture task analysis. Then apply the original GOMS operator to each similar step of gesture and modify the operator for implementation stage based on existing Fitts' law research. Steps that are required to move are modified based on the Fitts' law developed in touch screen device. Finally, new operator can be derived from using these stages and a validation experiment, performed to verify the validity of new operator and methodology by comparing human performance. Results: The average movement times of the participants' performance and the operator which is extracted in case study are not different significantly. Also the average of movement times of each type of view study is not different significantly. Conclusion: In conclusion, the result of the proposed methodology for extracting new operator is similar to the result of the experiment with their participants. Furthermore the GOMS model included the operator by the proposed methodology in this research could be applied successfully to predict the user's performance. Application: Using this methodology could be applied to develop new finger gesture in the touch screen. Also this proposed methodology could be applied to evaluate the usability of certain system rapidly including the new finger gesture performance.

Subtour Preservation Crossover Operator for the Symmetric TSP (대칭 순회 판매원문제를 위한 Subtour 보존 교차 연산자)

  • Soak, Sang-Moon;Lee, Hong-Girl;Byun, Sung-Cheal
    • Journal of Korean Institute of Industrial Engineers
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    • v.33 no.2
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    • pp.201-212
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    • 2007
  • Genetic algorithms (GAs) are very useful methods for global search and have been applied to various optimization problems. They have two kinds of important search mechanisms, crossover and mutation. Because the performance of GAs depends on these operators, a large number of operators have been developed for improving the performance of GAs. Especially, many researchers have been more interested in a crossover operator than a mutation operator. The reason is that a crossover operator is a main search operator in GAs and it has a more effect on the search performance. So, we also focus on a crossover operator. In this paper we first investigate the drawback of various crossovers, especially subtour-based crossovers and then introduce a new crossover operator to avoid such drawback and to increase efficiency. Also we compare it with several crossover operators for symmetric traveling salesman problem (STSP) for showing the performance of the proposed crossover. Finally, we introduce an efficient simple hybrid genetic algorithm using the proposed operator and then the quality and efficiency of the obtained results are discussed.

Delta-Operator-Based Digital Redesign of Linear Time-Invariant Systems

  • Lee, Ho-Jae;Park, Jin-Bae;Lee, Yeun-Woo;Joo, Young-Hoon
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.942-944
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    • 2004
  • This paper proposes a delta-operator-based digital redesign (DR) technique. An asymptotic property of the delta-operator-based DR is analyzed. The performance recovery is proved as a sampling time approaches zero.

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A study of selection operator using distance information between individuals in genetic algorithm

  • Ito, Minoru;Sugisaka, Masanori
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1521-1524
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    • 2003
  • In this paper, we propose a "Distance Correlation Selection operator (DCS)" as a new selection operator. For Genetic Algorithm (GA), many improvements have been proposed. The MGG (Minimal Generation Gap) model proposed by Satoh et.al. shows good performance. The MGG model has all advantages of conventional models and the ability of avoiding the premature convergence and suppressing the evolutionary stagnation. The proposed method is an extension of selection operator in the original MGG model. Generally, GA has two types of selection operators, one is "selection for reproduction", and the other is "selection for survival"; the former is for crossover and the latter is the individuals which survive to the next generation. The proposed method is an extension of the former. The proposed method utilizes distance information between individuals. From this extension, the proposed method aims to expand a search area and improve ability to search solution. The performance of the proposed method is examined with several standard test functions. The experimental results show good performance better than the original MGG model.

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Selecting Optimum Management Practicesin Pre-construction Phase Considering Project Characteristics

  • Cha, Hee-Sung;Kim, Ki-Hyun;Ko, Young-Jin
    • Journal of Construction Engineering and Project Management
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    • v.2 no.1
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    • pp.1-4
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    • 2012
  • The importance of project performance management as an alternative for solving problems is rising, which are followed by the hardships of managing construction project in the construction industry. This research classifies and applies the improvements made by the operator's work, in order to apply factors of success on the construction project, as performance management factors. In addition, in order to predict the results reflecting the project characteristic of performance management factor un-improvable by the operator in the initial stage of construction, the effect of project characteristic to the performance was drawn by performance difficulty. Also, in order to improve the predicted performance, researches on setting valid best practices according to the performance territory through a correlation analysis between the best practices improvable through the operator's work, and the performance was made.

Operator-splitting methods respecting eigenvalue problems for shallow shelf equations with basal drag

  • Geiser, Jurgen;Calov, Reinhard
    • Coupled systems mechanics
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    • v.1 no.4
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    • pp.325-343
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    • 2012
  • We present different numerical methods for solving the shallow shelf equations with basal drag (SSAB). An alternative approach of splitting the SSAB equation into a Laplacian and diagonal shift operator is discussed with respect to the underlying eigenvalue problem. First, we solve the equations using standard methods. Then, the coupled equations are decomposed into operators for membranes stresses, basal shear stress and driving stress. Applying reasonable parameter values, we demonstrate that the operator of the membrane stresses is much stiffer than the operator of the basal shear stress. Here, we could apply a new splitting method, which alternates between the iteration on the membrane-stress operator and the basal-shear operator, with a more frequent iteration on the operator of the membrane stresses. We show that this splitting accelerates and stabilize the computational performance of the numerical method, although an appropriate choice of the standard method used to solve for all operators in one step speeds up the scheme as well.

A Study on the Design of the Operator Training Simulator for Power Monitor and Control System in the Railway System (철도 전력관제시스템을 위한 운영자 훈련용 시뮬레이터 설계에 관한 연구)

  • Cho, Yoon-Sung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.11
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    • pp.1631-1638
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    • 2015
  • This paper describes the design methodology of the operator training simulator for power monitor and control system in the railway system. In power system, the purpose of energy management system was to monitor, control, and analyze the performance of generation and transmission system based on H/W and S/W. Network analysis applications provide a clear picture of power system characteristics using state estimation, power flow and short circuit analysis. In this respect, the operator training system in the railway system should be equipped with the methodology of these systems. First, the proposed database structure in the railway system was introduced. Then the overall structure of operator training system based on railway analysis applications was proposed. Finally, a methodology to verify the performance of the developed applications was described.

Evaluation of Vibration Reduction Performance of Operator Seat for Agricultural Tractors (트랙터 운전석의 진동 감쇠 성능 평가)

  • Shin, Chang-Seop;Kim, Kyeong-Uk
    • Journal of Biosystems Engineering
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    • v.36 no.1
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    • pp.1-8
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    • 2011
  • Six models of operator seat supplied to local tractor manufacturers were tested in the laboratory in accordance with ISO 5007 and 78/764/EEC. No models out of the six met the allowable damping and transmissibility performance criteria of both ISO 5007 and 78/764/EEC. From the ISO criterion standpoint, one model failed in damping performance and 4 models in isolation performance. From the 78/764/EEC criterion standpoint, 4 models failed in damping performance and 4 models in isolation performance. However none of them failed in all of the criteria, either. Each model met the one acceptance criterion but failed in another. This indicated that operator seat must be improved to meet the current ISO 5007 or 78/764/EEC and the exposure limit value that will be enforced in EU tractor market from 2014 by EU Directive 2002/44 EC.

An Improved MAP-Elites Algorithm via Rotational Invariant Operator in Differential Evolution for Continuous Optimization (연속 최적화를 위한 개선된 MAP-Elites 알고리즘)

  • Tae Jong Choi
    • Smart Media Journal
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    • v.13 no.2
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    • pp.129-135
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    • 2024
  • In this paper, we propose a new approach that enhances the continuous optimization performance of the MAP-Elites algorithm. The existing self-referencing MAP-Elites algorithm employed the "DE/rand/1/bin" operator from the differential evolution algorithm, which, due to its lack of rotational invariance, led to a degradation in optimization performance when there were high correlations among variables. The proposed algorithm replaces the "DE/rand/1/bin" operator with the "DE/current-to-rand/1" operator. This operator, possessing rotational invariance, ensures robust performance even in cases where there are high correlations among variables. Experimental results confirm that the proposed algorithm performs better than the comparison algorithms.