• Journal of Digital Convergence
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• v.12 no.6
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• pp.215-221
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• 2014

The Fingerprint recognition system is a system which identify the user's identify by verifying user's fingerprint and prepared data. The performance of fingerprint recognition system is dependent on 'fingerprint recognition time' and 'fingerprint recognition accuracy' and so on. In this paper, we developed a evaluation model about efficiency based on ISO quality evaluation standard for evaluating of quality level of fingerprint recognition system. We expect to contribute to construct and use of evaluation criteria based on quality evaluation standard by this study.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.429-431
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• 2012

Vehicle-logo recognition technology is very important in vehicle automatic recognition technique. The intended application is automatic recognition of vehicle type for secure access and traffic monitoring applications, a problem not hitherto considered at such a level of accuracy. Vehicle-logo recognition can improve Vehicle type recognition accuracy. So in this paper, introduces how to vehicle-logo recognition. First introduces the region of the license plate by algorithm and roughly located the region of car emblem based on the relationship of license plate and car emblem. Then located the car emblem with precision by the distance of Hausdorff. On the base, processing the region by morphologic, edge detection, analysis of connectivity and pick up the PCA character by lowing the dimension of the image and unifying the PCA character. At last the logo can be recognized using the algorithm of support vector machine. Experimental results show the effectiveness of the proposed method.

• Journal of Korea Multimedia Society
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• v.22 no.4
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• pp.432-442
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• 2019

Most current human action recognition methods based on deep learning methods. It is required, however, a very high computational cost. In this paper, we propose an action change detection method to reduce repetitive human action recognition tasks. In reality, simple actions are often repeated and it is time consuming process to apply high cost action recognition methods on repeated actions. The proposed method decides whether action has changed. The action recognition is executed only when it has detected action change. The action change detection process is as follows. First, extract the number of non-zero pixel from motion history image and generate one-dimensional time-series data. Second, detecting action change by comparison of difference between current time trend and local extremum of time-series data and threshold. Experiments on the proposed method achieved 89% balanced accuracy on action change data and 61% reduced action recognition repetition.

• Journal of Korean society of Dental Hygiene
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• v.9 no.1
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• pp.45-58
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• 2009

The purpose of this study was to examine the recognition level related to the infection prevention in dental medical institute in dental hygienists and to offer basic data of enhancing the knowledge education in dental hygienists on the infection prevention according to it. As a result of collecting and analyzing data by using the self-administered questionnaire on April 27, 2008 targeting 230 dental hygienists who are working at hospitals and clinics in P,K region, the following conclusions were obtained. 1. Dental hygienists' recognition on hospital-virus treatment method was indicated to be averagely 1.20 out of 3-point perfection. 2. The recognition on infection was indicated to be averagely 2.64 out of 4-point perfection. The statistically significant difference was shown with the appearance of periodical health examination(t=-2.42, p<.05) and by infection-education experience(t=2.28, p<0.05). 3. The recognition on an infection disease was indicated to be averagely 4.38 out of 8-point perfection. The significant difference(t=3.52, p<0.05) was shown depending on task in charge. 4. The recognition on the infection prevention in dental treatment institute was indicated to be averagely 4.89 out of 7-point perfection. The recognition on the infection prevention of dental treatment institute in dental hygienists, who work for general hospital, was indicated to be the highest. Accordingly, it was considered to be required an effort for dental hygienists, other dental-medical practitioners, and patients to be able to treated safely by enhancing the recognition level on infection prevention in dental hygienists and by maximally reducing exposure to infection in dental medical institute.

• Journal of Korean Library and Information Science Society
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• v.51 no.4
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• pp.25-57
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• 2020

The purpose of this article is to find out the meanings of library in Korean's daily life, especially considering the ecology of Korean library. To the end this article explores the following three research questions. First, a thorough literature review is conducted to identify the true nature of library recognition in Korean's daily life. The focus is on evaluating the objective reliability of both library statistics and scholarly research on Korean's library recognition. Secondly, evaluated is the level of Korean's library recognition from a relative point of view. A comparative analysis with the library recognition of advanced nations' citizens is carried out to expiscate both special features and limitations in Korean's library recognition. And finally, the indigenous factors influencing Korean's library recognition are investigated, and substantially effective solutions are prescribed to upgrade the level of Korean's library recognition.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2390-2406
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• 2022

Scene text recognition has important application value and attracted the interest of plenty of researchers. At present, many methods have achieved good results, but most of the existing approaches attempt to improve the performance of scene text recognition from the image level. They have a good effect on reading regular scene texts. However, there are still many obstacles to recognizing text on low-quality images such as curved, occlusion, and blur. This exacerbates the difficulty of feature extraction because the image quality is uneven. In addition, the results of model testing are highly dependent on training data, so there is still room for improvement in scene text recognition methods. In this work, we present a natural scene text recognizer to improve the recognition performance from the feature level, which contains feature representation and feature enhancement. In terms of feature representation, we propose an efficient feature extractor combined with Representative Batch Normalization and ResNet. It reduces the dependence of the model on training data and improves the feature representation ability of different instances. In terms of feature enhancement, we use a feature enhancement network to expand the receptive field of feature maps, so that feature maps contain rich feature information. Enhanced feature representation capability helps to improve the recognition performance of the model. We conducted experiments on 7 benchmarks, which shows that this method is highly competitive in recognizing both regular and irregular texts. The method achieved top1 recognition accuracy on four benchmarks of IC03, IC13, IC15, and SVTP.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.289-305
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• 2013

Recently, Green Business/IT becomes very important for management of company, because there are many new regulations about the environment protection, especially to reduce green house effect. The purpose of this research is to investigate present situation of Korean manufacturing industry about the Introduction of Green Business/IT. For the people who is in charge of the decision whether to Introduce Green Business/IT or not, this paper aim to provide some useful findings. We made a research framework consisting of 5Ps (Philosophy, Partner, Process, Product, Public) from literature review, then we found that almost all of the companies in manufacturing industry prepare for the regulations by introducing and using Green Business/IT concepts. There are some differences between production goods industry and consumer's goods industry. Also we found that there are a lot of relationships with recognition level and planning level. The higher the level of profitability, the lower the level of preparing social responsibility. This means there are two opposite perspectives(profitability, social responsibility). Therefore organizations who are adopting Green Business IT/should strive for harmony of sight.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.16 no.5 s.110
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• pp.544-550
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• 2006

The interaction between people and sound and the way how people consciously perceive their environment are central approach to soundscape research. In this respect, this paper aims to clarify the relationship between water-sound level and recognition region in urban area. As a passive soundscape facility, fountain is a useful way to give place such as public square, park identity and vitality. In this study, to know the optimistic distance and sound level range from fountain, sound levels due to distance were measured and subject responses were checked by questionnaire. As a result, levels from 63 dB to 67 dB were recommended by subjects and moving forward to fountain less satisfactory than backward. Moving forward 5 m and backward 5 m(total range 10 m): there was a difference in satisfaction ratio by 2,5 out of 10. The results of this study could be used for street furniture location design and P.A. system output level.

• Phonetics and Speech Sciences
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• v.3 no.3
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• pp.115-121
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• 2011

This paper examines how L2 speech production varies according to learner's L2 proficiency level. L2 speech production variations are analyzed by quantitative measures at word and phone levels using Korean learners' English corpus. Word-level variations are analyzed using correctness to explain how speech realizations are different from the canonical forms, while accuracy is used for analysis at phone level to reflect phone insertions and deletions together with substitutions. The results show that speech production of learners with different L2 proficiency levels are considerably different in terms of performance and individual realizations at word and phone levels. These results confirm that speech production of non-native speakers varies according to their L2 proficiency levels, even though they share the same L1 background. Furthermore, they will contribute to improve non-native speech recognition performance of ASR-based English language educational system for Korean learners of English.

• Journal of the Korean Home Economics Association
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• v.32 no.4
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• pp.97-116
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• 1994

The purpose of the stud is to present an model of the distress process for dual-earner couples. For the data set 340 husbands and wives in dual-earner families living in Pusan were chosen. The questionnaire was composed of Family Stressor Scale Family Resources Scale, Distress Scale. The data were analyzed with the SPSS statistical pacakage using t-test the one-rather than husband. And cothestion, adaptability and the level of stress recognition are important factors affecting the level of physical and psychological distress directly.