• Transactions of the Korean Society of Machine Tool Engineers
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• v.16 no.1
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• pp.19-25
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• 2007

Items and methods of synchronous type AC servo motor's performance evaluation were researched. Through the research, nine items of performance evaluations were selected from study of IEC standards and domestic technical reports. Using the proposed evaluation items and methods, performance evaluations were carried out into two domestic products and one foreign product for analysis of what results means. The results show that the proposed items of performance evaluations are reasonable and proper for performance evaluations of AC servo motors.

• Journal of the Korean Operations Research and Management Science Society
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• v.32 no.4
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• pp.77-88
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• 2007

This study is to apply of AHP to the performance management of university organization. Especially, in the present study, the authors modeled performance evaluations for S university administration hierarchically and analyzed the weights of those. The domains of performance evaluations were divided in five domains: strategy, resource management, process, finance management, and customer management, referred to the viewpoints of BSC. The results of analysis revealed that strategy was the most important element of evaluation in the first stage and except for strategy and finance management which consist of the single element of evaluation respectively in the second stage, the efficiency of administration supporting service was the important element of evaluation. The weights of performance evaluations, however, revealed in different as the class of position. Finally this study showed that the weights of performance evaluations computed in the present study can be used as those of evaluation indices for S university administration.

• Journal of Advanced Information Technology and Convergence
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• v.10 no.2
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• pp.103-110
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• 2020

The course evaluations was used to collect the students' opinion and verify the learning performance for a long time. However, many evaluations' methods are not consider each characteristics of the course, and many courses were presented to students with the same question for the course evaluations. This research aims to make a learning success model considering the questionnaire of course evaluations and relationship between the factors of learning and learning satisfaction/benefit. In order to make a model, we identify the items of the questionnaire and distinguish the factors considering the items. The factors are Information Quality, Knowledge Quality, System Quality and Service Quality. Consequently, the research shows the connection and relationship between them and learning satisfaction/benefit.

• Korean Journal of Legislative Studies
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• v.27 no.1
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• pp.79-115
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• 2021

Voters' negative evaluations of government performance lower their trust in government, which functions as the reward and punishment for the government. Trust in government thus serves to promote political accountability of the representative government. However, voters build their confidence toward the party government where the ruling party is responsible for the performance. Considering this partisan nature, we empirically examine that the influence of voters' performance evaluations on governmental trust is conditional on their party identifications. While higher perceptions of political/social conflict and increasing negative evaluations of government policies and economic performance are associated with the lower level of confidence in government, the relationship is contrasted between different party identifiers. For supporters of the ruling party in 2020, the negative evaluations of government performance are not likely to reduce trust in government a lot. On the contrary, those who identify with the main opposition party show the most prominent effect of negative evaluations on their distrust in government. This study demonstrates that trust in government is affected by voters' partisan preferences, not entirely by evaluations of government performance. Such a distortion of the reward and sanction function of governmental trust might lead to the weakening of the accountability mechanism in representative democracy.

• (The) Research of the performance art and culture
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• no.41
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• pp.93-131
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• 2020

This article discussed the components of traditional art competitions held from 1930 to 1941. Of their various components, observations were made of hosts and sponsors, participants, and evaluations with a focus on the backgrounds and objectives of hosts and sponsors, participant aspects, and evaluation forms. Hosts and sponsors included newspaper companies, social organizations, music companies, stores, individuals, and eups. They hosted and sponsored traditional art competitions with their own respective reasons and justifications and there were multiple commercial and promotional objectives at the base. Participant aspects can be divided into gisaengs and male artists. While the participation of gisaengs was a natural phenomenon, aspects of the traditional art performance world of the 1930s and the quantitative increase of gisaengs had great effects and male artists participated because of the hidden purpose of the competitions, which was the discovery of traditional artists. Evaluation forms were divided into audience evaluations and expert evaluations. Audience evaluations began from 'pan' culture of the past and audience members involved themselves by casting votes and expert evaluations, in which master singers, master dancers, instrumentalists, and lyricists participated, came to the fore through expert courses of traditional art competitions.

• Management Science and Financial Engineering
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• v.11 no.3
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• pp.19-45
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• 2005

Collaborative filtering is one of the most common methods that e-commerce sites and Internet information services use to personalize recommendations. Collaborative filtering has the advantage of being able to use even sparse evaluation data to predict preference scores for new products. To date, however, no in-depth investigation has been conducted on how the data sparsity effect in customers' evaluation data affects collaborative filtering-based recommendation performance. In this study, we analyzed the sparsity effect and used a hybrid method based on customers' evaluations and purchases collected from an online bookstore. Results indicated that recommendation performance decreased monotonically as sparsity increased, and that performance was more sensitive to sparsity in evaluation data rather than in purchase data. Results also indicated that the hybrid use of two different types of data (customers' evaluations and purchases) helped to improve the recommendation performance when evaluation data were highly sparse.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.10
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• pp.90-97
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• 1996

This paper presents an efficient parallel implementation and its performance evaluations of a SOFM neural netowrk on the multicomputer. We investigate the parallel performance as the size of a neural network N, the number of the patterns L, and the number of the processors p increase. We propose an analytica performance evaluation model for eac of the parallel implementations and verified the validity of the model through experiments. Analytical result show that the number of processors for a maximum speedup of the network decomposition nd the training-set decomposition increases in proportion to .root.N and .root.L, respectively. The performances of the both decompositions depend on the number of training patterns L and the size of the neural network N and, if L.geq.0.423N, the performance of trhe training-set decomposition is proved to be better than that of the network decomposition.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.89-100
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• 2023

Recently, as ESG management has become an important issue, major companies in the automotive parts manufacturing industry are conducting ESG evaluations of their suppliers for the purpose of supply chain management. The results of these evaluations are being incorporated into contractual agreements. However, many small and medium-sized enterprises(SMEs) are lacking in their capacity and resources to effectively respond to ESG evaluations. Furthermore, existing ESG management guidelines do not provide an industry-specific guidance, making it necessary to establish industry-specific guidelines that SMEs can refer to. Therefore, in this study, the evaluation Indicators of ESG supply chain assessments are surveyed, which is conducted by domestic major automotive parts companies and global automobile manufacturers. Then 56 supply chain ESG evaluation Indicators are derived. Also, ESG management indicators for SMEs is analyzed through the Importance-Performance Analysis(IPA), based on an interview of expert groups. Therefore, this study could propose industry-specific ESG guidelines, based on the results of the derived indicators, which reflects the need for SMEs to practice ESG management within certain boundaries.

• Phonetics and Speech Sciences
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• v.4 no.3
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• pp.111-117
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• 2012

In this paper, we compare the performance of several speaker adaptation methods for a HMM-based Korean speech synthesis system with small amounts of adaptation data. According to objective and subjective evaluations, a hybrid method of constrained structural maximum a posteriori linear regression (CSMAPLR) and maximum a posteriori (MAP) adaptation shows better performance than other methods, when only five minutes of adaptation data are available for the target speaker. During the objective evaluation, we find that the duration models are insufficiently adapted to the target speaker as the spectral envelope and pitch models. To alleviate the problem, we propose the duration rectification method and the duration interpolation method. Both the objective and subjective evaluations reveal that the incorporation of the proposed two methods into the conventional speaker adaptation method is effective in improving the performance of the duration model adaptation.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.26 no.12
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• pp.2483-2491
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• 2002

This study presents an efficient method for robust optimal design. In order to avoid the excessive evaluations of the exact performance functions, two-point diagonal quadratic approximation method is employed for approximating them during optimization process. This approximation method is one of the two point approximation methods. Therefore, the second order sensitivity information of the approximated performance functions are calculated by an analytical method. As a result, this enables one to avoid the expensive evaluations of the exact $2^{nd}$ derivatives of the performance functions unlike the conventional robust optimal design methods based on the gradient information. Finally, in order to show the numerical performance of the proposed method, one mathematical problem and two mechanical design problems are solved and their results are compared with those of the conventional methods.