• Journal of the Korea Safety Management & Science
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• v.3 no.3
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• pp.151-164
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• 2001

Currently, there are little evaluated model for each industry and systematic analysis for each item about current business web sites. And the approach way to improve it all depends on individual. This research is about two different points of view on I-Evaluation development as an approach method to provide analysis, evaluation, and guideline on business web sites. The one is about developing a working step and a site evaluation model that are necessary to improve the quality of site. The other is about a framework development to apply a feedback on site most rapidly and site optimization. The former is from the methodological point of view for I-Evaluation, and the latter is from the point of view for I-Evaluation Framework. In terms of methodology, developing site evaluation model and defining a working step belong to it. Site evaluation model means customizing each customers web site, using each evaluated scoring model which can be a standard for each industry to analyze a similar business web site. Defining a working step means defining input and output parameters for composed elements, working processes, and results analysis on an evaluated model. And also it includes building a working environments to automatic steps mentioned the above by clarifying them.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.32
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• pp.137-144
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• 1994

According to the cementing process, adhesive for dress shoe applicable to the style of ladies' has steadily been developed. In the study on the evaluation, mathematical model is presented. In the study on the quality control, a list of test results from field application and a model of manufacturing process including adhesion process are introduced.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1605-1614
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• 2002

The purpose of this study was to identify the consumers who use the level of price as the indicator of the product quality. In order to implement the purpose of this study, Jeans market had been segmented by the mixture regression model, and price response function was calibrated for each segment. Based on the types of price response function, segments were allocated into one of two groups; the group using the level of price as the quality indicator or the group not using the level of price as that. Then, characteristics of both groups were compared in terms of product attributes and demographic variables. Data were co]looted from the sample of the 23o undergraduate and graduate students in Seoul. For the data analysis, mixture regression model, conjoint analysis, and t-test were used. As a result, jeans market was divided into 5 segments. Segment 1,2,3 were allocated into the group not using the level of price as the quality indicator while segment 4,5 were done into the other group. Significant differences existed between two groups in product attributes, not in demographic variables. Mixture model and conjoint analysis were proved to be an effective set of tools in market segmentation.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.2
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• pp.89-118
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• 1999

The academic journal is a very important means for science communication, and it is critical for academic development. Most of Korean academic journals are not doing their fundamental roles because of the researchers' perception about their quality. A fundamental thing for Korean academic journals to contribute effectively to science communication would be the effective evaluation on the Journal. The purpose of this study is to develop an evaluation model for Korean academic journals. This model will be effective for quality measurement, manifestation of the strength and weakness, and for the improvement of journal quality. It was developed through analysis on evaluation activities of two institutions, and through interviews and surveys on Korean researchers.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.15 no.8 s.101
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• pp.945-953
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• 2005

The purpose of this paper is to develop a linear regression model for the sound quality index of vehicle Interior noise. For this, objective measurement data of the vehicles driving in acceleration was measured. On the basis of analysis, psychoacoustic parameters were extracted and subjective evaluation was performed by noise and vibration expert evaluators. For the subjective evaluation, the paired comparisons and the semantic differential methods were used to evaluate sound quality of vehicle interior noise. By the paired comparison which evaluate two pairs of vehicle interior noise, the preference was estimated. With the semantic differential and the factor analysis, it was evaluated words of two pairs which expressed appropriately the sense of evaluator about noise source. Therefore the characteristics of the sound qualify for the vehicle were differentiated. From the results of both the correlation analysis and the multiple factor regression analysis, the sound quality evaluation model for the sense of human hearing was derived and indexed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1426-1447
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• 2021

The payoff game between task publishers and users in the mobile crowdsensing environment is a hot topic of research. A optimal payoff selection model based on stochastic evolutionary game is proposed. Firstly, the process of payoff optimization selection is modeled as a task publisher-user stochastic evolutionary game model. Secondly, the low-quality data is identified by the data quality evaluation algorithm, which improves the fitness of perceptual task matching target users, so that task publishers and users can obtain the optimal payoff at the current moment. Finally, by solving the stability strategy and analyzing the stability of the model, the optimal payoff strategy is obtained under different intensity of random interference and different initial state. The simulation results show that, in the aspect of data quality evaluation, compared with BP detection method and SVM detection method, the accuracy of anomaly data detection of the proposed model is improved by 8.1% and 0.5% respectively, and the accuracy of data classification is improved by 59.2% and 32.2% respectively. In the aspect of the optimal payoff strategy selection, it is verified that the proposed model can reasonably select the payoff strategy.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.293-300
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• 2016

DRM software should conform completeness, correctness and appropriateness for the related function to protect digital right properly. Therefore, the systematization of functionality evaluation method based on the related standard is essentially required. In this paper, based on the software quality standard, I intended to construct a model to measure the quality about functionality including suitability, accuracy and interoperability of DRM software. To this, we developed functional suitability evaluation model by analyzing infra-technology of DRM software and quality requirements about functional suitability. I think that through this study, functionality criteria to enhance the quality level of DRM software. Through the accumulation of future evaluation practices, it is necessary to improve the suitability and validity of the DRM software functional suitability evaluation model.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.6
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• pp.509-523
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• 2012

The sound quality based on design optimization, throughout the development process of various electronic office equipments, needs to be considered in order to respond the increased needs for the emotional satisfaction of customers in terms of psycho-acoustics. This paper focuses on how to describe the characteristics of operating sound radiated from laser printers by using various sound attributes, and to model the sound quality index that can properly evaluate the subjective preference on modification conditions in the improvement study quantitatively. Especially, the proposed verification process, in the form of combining the correlation based method and the decision error based method, was applied to improve the generality and reliability of a group of participants in the jury evaluation. The modified Aures tonality model was also proposed to improve the correlation coefficient with the mean response of participants by optimizing some parameters. As a result, the loudness, articulation index, roughness, tonality, fluctuation strength were used to model the sound quality index for laser printers by using the multiple-linear regression method. Through the improvement study, it was confirmed that replacing the absorbing materials is effective to reduce the tonalness radiated from the side of a reference printer model. Based on above results, it can be concluded that the proposed model has enough usefulness as quantitative evaluation index to evaluate the difference between modification conditions in the improvement study.

• Journal of Internet Computing and Services
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• v.5 no.6
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• pp.31-43
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• 2004

Voice over Internet Protocol (VoIP) is currently a popular research topic as a real time voice packet transmission method. But current Internet environment do not guarantee the quality of voice when we take a side view of delay, jitter and loss. Up to now, many voice based evaluation algorithms have been used to measure speech quality of VoIP systems. However, these algorithms have the defects that their results are different according to voice samples and some algorithms can not take network environment for speech transmission path. The E-model can be used to solve the problems of these algorithms. In this paper. we introduce VoIP planning guidelines through the various analysis of E-model which can model impairments of network quality as well as VoIP equipment quality systematically, We, also, show the evaluation method and results of speech transmission quality.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.95-117
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• 2006

The research purpose for this study is to evaluate the quality of the KOLIS-NET DB which builded bibliographic data of the holding collections of nationwide public libraries. The quality evaluation of the KOLIS-NET DB was inspired by the successful experience from researches precedent and tried to approach the case study focuses on six quality dimensions : coverage, duplication. currentness. accuracy, consistency completeness. The study verified comprehensively the quality of the KOLIS-NET DB through a quality evaluation model and analyzed the factors causing such inferior and substandard bibliographic records in the KOLIS-NET DB. Based on the results of the quality evaluation, the quality improvements of the KOLIS-NET DB was suggested.