• Journal of the Korean Society for Library and Information Science
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• v.30 no.4
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• pp.85-104
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• 1996

The purpose of this study is to analyze the edition of 21 of the Dewey Decimal Classificatin. Edition 21 includes major revisions of three schedules : 350-354 Public administration, 370 Education, and 560-590 Life sciences. The aim of Edition 21 was user convenience, Regularization, Faceting, Terminology, International needs and Cooperative development and Changes in the database. The Dewey Decimal Classification is preparing for the future in a number of ways. Editorial work is supported by a UNIX-based system and access to online bibliographic databases. Two edition of Electronic Dewey have been published and a Windows version have been published.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1436-1443
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• 2010

In vocabulary recognition system has it's bad points of processing vocabulary unseen triphone and then no got distribution of confidence measure by cannot normalization. According to this problem to improve suggested VCOR(Version Control for Out-of Rejection) system by out-of vocabulary rejection algorithm use vocabulary management optimization and then phone data search support. In VCOR system to provide vocabulary information efficiently offering for user's vocabulary information using extend facet classification that improved for vocabulary measure management function offering accuracy of recognition for vocabulary. In this paper proposed system performance as a result of represent vocabulary dependence recognition rate of 97.56%, vocabulary independence recognition rate of 96.23%.

• Journal of Information Management
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• v.26 no.2
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• pp.61-79
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• 1995

The purpose of this paper is to investigate search efficiency of controlled vocabulary versus uncontrolled vocabulary subject access in online catalog systems. The question of the effectiveness of controlled versus uncontrolled vocabulary in information retrieval has been raised in many literatures. A debate continues in the Library and Information Science Professions over the relative merit, appropriateness, and efficiency of uncontrolled vocabulary subject access in online catalog systems. Actually users used to combine uncontrolled vocabulary subject searching with controlled vocabulary subject searching. But the success of user's subject search depends on his choice of search terms. Also the technical developments that facilitate cooperation among information services in general make it increasingly possible for such cooperation to take place on an international level. In this study, several common types of vocabularies on online catalog systems are described and compared, especially usages of vocabularies in multilingual environment are analyzed.

• Journal of Korean society of Dental Hygiene
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• v.20 no.5
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• pp.645-653
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• 2020

Objectives: The purpose of this study is to identify the difference between the awareness and reuser rate of infection control t for disposable dental care supplies (DDCS) according to general characteristics and infection management-related characteristics. Methods: A questionnaire was used for 277 dental hygienists to check the general characteristics, infection management-related characteristics, awareness of infection control disposable dental care products, syringe needle, prophylaxis cup, prophylaxis brush, plastic saliva ejector, orthodontic bracket, and gloves reuse rate. Results: The awareness of infection control for DDCS differed according to 'hospital type', 'average number of patients per day', 'presence or absence of infection control guidelines', and 'experience in infection management training in the last two years' (p<0.05). Reuser rates of disposable dental care products differed according to 'hospital type', 'average number of patients per day', 'presence or absence of infection control guidelines', and 'experience in infection management training in the last two years' (p<0.05). Conclusions: In order to manage infection of DDCS, the level of infection control system in the workplace is improved and support for related education is needed. In addition, guidelines and regulations on prohibition of reuse and classification criteria for various DDCS should be prepared.

• Journal of the Korea Society of Computer and Information
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• v.15 no.2
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• pp.127-134
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• 2010

In continuous vocabulary recognition system by probability distribution of clustering method has used model parameters of an advance estimate to generated each contexts for phoneme data surely needed but it has it's bad points of gaussian model the accuracy unsecure of composed model for phoneme data. To improve suggested probability distribution mixed gaussian model to optimized that phoneme data search supported configuration thread system. This paper of configuration thread system has used extension facet classification user phoneme configuration thread information offered gaussian model the accuracy secure. System performance as a result of represent vocabulary dependence recognition rate of 98.31%, vocabulary independence recognition rate of 97.63%.

• Journal of Service Research and Studies
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• v.1 no.1
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• pp.71-79
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• 2011

In recent years, a number of people are going more and more to develope and engage in stock and equity-related information and related industry. a lot of stock expection programs came out, but they are still unstable, especially predictions methods and reality is unfounded. In this paper, we have vast amounts of stock data, shares many of the changes affecting the width of the survey items, and should seek the weights. This is related to existing stock levels and categories and is another way. Results based on a systematic classification of the stock data that would like to introduce objectivity

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.2
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• pp.157-162
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• 2008

This paper presents a learning method of tagging ontology using large tagging data such as a folksonomy, which stands for classification structure informally created by the people. There is no common agreement about the semantics of a tagging, and most social web sites internally use different methods to represent tagging information, obstructing interoperability between sites and the automated processing by software agents. To solve this problem, we need a tagging ontology, defined by analyzing intrinsic attributes of a tagging. Through several machine learning for tagging data, tag groups and similar user groups are extracted, and then used to learn the tagging ontology. A recommender system adopting the tagging ontology is also suggested as an applying field.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.4
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• pp.239-247
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• 2008

In a resource-limited wireless communication environment, various approaches to meet the ever growing application requirements in an efficient and transparent manner, are being researched and developed. Amongst many approaches, cross layer technique is by far one of the significant contributions that has undoubtedly revolutionized the way conventional layered architecture is perceived. In this paper, we propose a Universal Cross Layer Framework based on vertical layer architecture. The primary contribution of this paper is the functional architecture of the vertical layer which is primarily responsible for cross layer interaction management and optimization. The second contribution is the use of optimization cycle that comprises awareness parameters collection, mapping, classification and the analysis phases. The third contribution of the paper is the decomposition of the parameters into local and global network perspective for opportunistic optimization. Finally, we have shown through simulations how parameters' variations can represent local and global views of the network and how we can set local and global thresholds to perform opportunistic optimization.

• International Journal of Advanced Culture Technology
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• v.5 no.1
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• pp.51-57
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• 2017

Digital signage is becoming part of daily life across a wide range of visual advertisements segments market used in stations, hotels, retail stores, hotels, etc. The current digital signage system used in market is generally works on limited user interactivity with static contents. In this paper, a new approach is proposed using computer vision based dynamic audience adaptive cost-effective digital signage system. The proposed design uses the Camera attached Raspberry Pi Open source platform to employ the real-time audience interaction using computer vision algorithms to extract facial features of the audience. The real-time facial features are extracted using Haar Cascade algorithm which are used for audience gender specific rendering of dynamic digital signage content. The audience facial characterization using Haar Cascade is evaluated on the FERET database with 95% accuracy for gender classification. The proposed system, developed and evaluated with male and female audiences in real-life environments camera embedded raspberry pi with good level of accuracy.

• Journal of Digital Contents Society
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• v.8 no.4
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• pp.587-592
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• 2007

This paper explains the design and implementation of the EC_NH. EC_NH is a system that is suitable for detecting, sharing and recovering software error based on multimedia CSCW(Computer Supportes Cooperated Work). With error sharing system, a group cooperating users can share error applications. From the perspective of multimedia collaborative environment, an error application becomes another interactive presentation error is shared with participants engaged in a cooperative work. Our Digital Carousel enables user to share media objects through media synchronization mechanism. We implemented the Digital Carousel so that the users participated in collaborative work may refer shared media or error objects as the same view to others.