• Journal of the Ergonomics Society of Korea
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• v.19 no.2
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• pp.33-45
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• 2000

Present study was performed to compare different types of teleoperation performance measures. A modified Cooper-Harper rating scale and a distance measure were newly introduced and compared to two traditional measures, the error rate and time-to-completion. Participants performed a simulated telerobotic task with varying visual display interfaces. The results of correlation analyses revealed that the modified Cooper-Harper ratings had a close association with the error rate measure. The distance measure also appeared to be a consistent performance measure, which accounted for both the error rate and time-to-completion. A further analysis, however, showed that the effectiveness of each performance measure varied with the level of task difficulty. The results imply that the choice of performance measure should be made based on the task difficulty as well as the particular task being studied. The results revealed here also have implication for performance measures of various display and control systems including aircraft navigation displays and tactical displays.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.756-760
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• 1995

Optimal design of a hybrid parallel robot is investigated. In order to optimize the mechanism, new performance measures are introduced since use of the previous methods suffer form lack of the physical meaning due to the dimensional inhomogeneity. To overcome the problem, an Euclidean norm definition of each output space with homogeneous dimension is used to find input-output norm relation and derive new performance measures for each output spaces, that is, translational and rotational velocity, and derive new torque space. For illustion,the derived performance measures is applied to find the isotropic design of a Stewart platform robot which has condition number measures equal to one.

• International Journal of Contents
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• v.4 no.3
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• pp.20-28
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• 2008

To obtain realistic performance measures for wireless networks, one should consider changes in performance due to failure related behavior. In performability analysis, simultaneous consideration is given to both pure performance and performance with failure measures. SRN is an extension of stochastic Petri nets and provides compact modeling facilities for system analysis. In this paper, a new methodology to model and analyze performability based on stochastic reward nets (SRN) is presented. Composite performance and availability SRN models for wireless handoff schemes are developed and then these models are decomposed hierarchically. The SRN models can yield measures of interest such as blocking and dropping probabilities. These measures are expressed in terms of the expected values of reward rate functions for SRNs. Numerical results show the accuracy of the hierarchical model. The key contribution of this paper constitutes the Petri nets modeling techniques instead of complicate numerical analysis of Markov chains and easy way of performance analysis for channel allocation under SRN reward concepts.

• Journal of Korean Institute of Industrial Engineers
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• v.37 no.4
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• pp.271-278
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• 2011

This paper is to review and organize performance strategies, issues, and measures for the efficient operation of order picking function. Order picking is the process of retrieving items from storage to meet a specific customer order, which is known to be the most labor-intensive and costly function among all the warehouse functions. This function is also important in that it has a critical impact on downstream customer service. For understanding the background of order picking and related performance issues, we will briefly introduce warehousing functions. Then we will introduce material handling within a warehouse and order picking strategies. Lastly, we will discuss about performance issues and measures in the domain of order picking operations. Productive and quality measures will be reviewed in more detail.

• Journal of Korea Technology Innovation Society
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• v.8 no.3
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• pp.1087-1116
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• 2005

This research examines performance evaluatees' opinions regarding the institutional performance evaluation systems of Government S&T Research Institutes (GRI). Research methodology is as follows: first, four perspectives of Kaplan & Norton (1992) Balanced Scorecard Model are revised into six perspectives suitable to GRI's characteristics. Second, experts classify current performance evaluation measures into the six perspectives. This enables different evaluation systems of three GRI evaluation groups to be compared under the same evaluation measures. Third, GRI's evaluatees are asked to allocate ideal weights on the performance measures. The evaluatees' weights are compared with the weights of current performance measures, and the characteristics of evaluatees' opinions about current performance evaluation systems are analyzed. Results are as follows; first, six perspectives for Korean GRIs are financial, long-term outcome, short-term outcome, strategic direction, project management, human resources perspectives. second, GRI evaluation systems put the most weights on the long- and short-term outcome perspectives and the least weights on the financial perspective. This result complies with theoretical model: in performance evaluation of GRIs, the customer perspective is the most important one while the financial perspective is the least important one. Third, evaluatees think that the long-term outcome perspective of the Basic-technology GRI group and the short-term outcome perspective of the Applied-technology GRI Group needs more weight. Fourth, it is found that the current systems have more weights on the project management and strategic direction perspectives than evaluatees think. The possible explanation of this result would be that since the measures of these perspectives are relatively easier to set up than those of other perspectives, the current systems contains larger number of measures and, accordingly more weights.

• Journal of IKEEE
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• v.27 no.3
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• pp.350-354
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• 2023

This paper describes ISO/IEC TR 24029-1, an international standard to evaluate the performance of artificial intelligence systems. ISO/IEC TR 24029-1 defines the performance measures of artificial intelligence systems in two categories, i.e. interpolation and classificiation. Performance measures in the interpolation categories mean how much the predicted values of the artificial intelligence system is close to the real values. Performance measures in the classification categories mean how much the predicted classes of the artificial intelligence system is equal to the real classes. Based on these performance measures, performance of artificial intelligence systems can be evaluated and performance of different artificial intelligence systems can be compared.

• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.2
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• pp.109-109
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• 1991

We have recognized that an organization should be viewed from a multifaceted perspective necessitating a sophisticated analytical and systematic approach to monitor and improve organizational performance. Although some performance measurement systems have been proposed and are currently being used in many organizations, no performance measurement system has presented a mechanism for integrating all of the information of performance measures in a way that considers relationships between them. This paper introduces the implementation of the performance information integration method(PIIM) which synthesizes all useful information of performance measures with consideration of the relationship and generates a single, global, organizational performance score. The PIIM was empirically validated by implementing in one of Missouri Veterans Homes

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.62-67
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• 1990

A number of performance measures have been proposed for the quantification of dexterity for kinematically redundant manipulators. The use of such measures is especially important for kinematically redundant manipulators since they can satisfy the subtasks such as singularity avoidance and obstacle avoidance in addition to satisfying a specification of end-effector motion. In this paper, the advantages and disadvantages of performance measures proposed up to date are compared through simulations under the same environment. Besides, a new dexterity index for manipulators with multiple degrees of redundancy is proposed and shown to be effective through the simulation.

• International Journal of Naval Architecture and Ocean Engineering
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• v.7 no.3
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• pp.640-653
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• 2015

In order to develop the challenging process of placing Aids to Navigation (AtoN), we propose performance measures which quantifies the effect of such placement. The best placement of AtoNs is that from which the navigator can best recognize the information provided by an AtoN. The visibility of AtoNs depends mostly on light sources, the weather condition and the position of the navigator. Visual recognition is enabled by achieving adequate contrast between the AtoN light source and background light. Therefore, the performance measures can be formulated through the amount of differences between these two lights. For simplification, this approach is based on the values of the human factor suggested by International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA). Performance measures for AtoN placement can be evaluated through AtoN Simulator, which has been being developed by KIOST/KRISO in Korea and has been launched by Korea National Research Program. Simulations for evaluation are carried out at waterway in Busan port in Korea.

• Journal of Technology Innovation
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• v.14 no.3
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• pp.117-154
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• 2006

This research examines performance evaluatees' opinions regarding the current institutional performance evaluation systems of Government S&T Research Institutes (GRIs). Under the current evaluation systems, twenty GRIs are grouped into three Research Groups and each Group has its own evaluation systems. One problem of the current institutional evaluation systems is that the systems cannot reflect individual GRIs' characteristics. The following methods are used. First, based on four perspectives of Kaplan & Norton(1992)'s Balanced Scorecard(BSC) model, six perspectives appropriate to GRUs' characteristics are derived. Second, experts classify current performance evaluation measures into the six perspectives. This enables different evaluation systems of three GRI Research Groups to be compared under the same evaluation measures. Third, GRIs' evaluatees are asked to allocate appropriate weights on the performance measures. Evaluatees' weights of a GRI are compared with average weights of the related Group. Finally in every BSC's perspective, GRIs that have extraordinarily over-scored or under-scored weights are analyzed in terms of GRIs' missions, customers, capability of human resources, etc. In the Basic Research Group, the Korea Basic Science Institute is deviated in the financial perspective and the strategic direction perspectives. In the Public Research Group, Korea Institute of Construction Technology is significantly different from other GRIs in three perspectives. Five out of eight GRIs in the Industrial Research Group, GRIs are significantly different each other in several perspectives. It could be concluded that the current institutional evaluation systems are least appropriate in measuring performance of the GRIs of the Industrial Research Group.