• 한국공작기계학회논문집
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• 제16권1호
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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.

• 한국경영과학회지
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• 제32권4호
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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.

• 한국정보기술학회 영문논문지
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• 제10권2호
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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.

• 의정연구
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• 제27권1호
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• pp.79-115
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• 2021

정부의 국정 운영에 대한 유권자들의 부정적인 평가는 정부 신뢰를 낮춤으로써, 이들이 정부에 대해 문책을 하는 의미를 지닌다. 따라서 정부 신뢰는 대의 정부의 정치적 책임성을 제고하는 기능을 한다. 그러나 국정 운영의 주체가 실질적으로 정당 정부라는 점, 따라서 정부 신뢰가 담고 있는 당파적 속성을 고려할 때, 본 연구는 유권자들의 국정 운영 평가가 정부 신뢰를 낮추는 영향력이 정당일체감에 의해 차별적으로 나타날 것을 경험적으로 검증한다. 응답자가 인식하는 정치/사회 갈등 수준이 높을수록, 정부 정책 평가가 부정적일수록, 경제 상황 평가가 부정적일수록 정부에 대한 신뢰가 낮아지는 가운데, 여당인 더불어민주당 지지자에게서는 이러한 영향력이 미미하였으나, 제1야당인 미래통합당 지지자들에게서는 그 영향력이 가장 명확하게 나타났다. 본 연구의 결과는 정부에 대한 유권자들의 신뢰와 불신의 대립이 정부의 국정 수행에 대한 평가보다 오히려 유권자들의 정치적 선호에 근거하여 발현되고 있음을 보여준다. 또한, 이는 정부 신뢰가 가지는 문책의 기능이 왜곡됨으로써 정부가 정치적 책임성을 제고할 유인이 약화될 수 있음을 시사한다.

• 공연문화연구
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• 제41호
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• pp.93-131
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• 2020

본고는 1930년부터 1941년까지 열린 전통예술경연대회의 구성요소를 논하였다. 여러 구성요소 중에서 주최 및 후원, 참가자, 심사에 한정하여, 주최 및 후원의 배경과 목적, 참가자의 양상, 심사의 형태를 중심으로 살펴보았다. 주최 및 후원처는 신문사·사회단체·음반회사·상점·개인 및 읍(邑) 등이었다. 이들은 각기 다른 사정과 명분을 내세워 전통예술경연대회를 주최 및 후원하였는데, 그 기저에는 상업성과 홍보성의 목적이 다분했다. 참가자의 양상은 기생과 남성예술인으로 나눌 수 있었다. 기생의 참가는 당연한 현상으로 1930년대 전통예술공연계의 양상과 기생의 양적 증가가 미치는 영향도 컸으며, 남성예술인은 경연대회가 내세운 숨은 전통예술인의 발굴이라는 개최목적을 계기로 참가하였다. 심사의 형태는 청중의 심사와 전문가의 심사로 나뉘었다. 청중의 심사는 과거 '판' 문화에서 비롯된 것으로 투표를 통해 심사에 관여하였으며, 명창·명무·기악연주자·작사가 등이 참여한 전문가의 심사는 전통예술경연대회의 전문화 과정에서 대두되었다.

• Management Science and Financial Engineering
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• 제11권3호
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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.

• 전자공학회논문지B
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• 제33B권10호
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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.

• 산업경영시스템학회지
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• 제46권3호
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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.

• 말소리와 음성과학
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• 제4권3호
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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.

• 대한기계학회논문집A
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• 제26권12호
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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.