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Performance Inprovement of a Search Engine Using Collaborative Evaluation and The WordNet (협동적 순위 평가와 워드넷을 이용한 검색엔진의 성능 향상)

  • 김형일;김준태
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10b
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    • pp.103-105
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    • 2001
  • 웹에서 사용자가 원하는 정보를 정확히 추출하기란 쉬운 문제가 아닐 것이다. 이러한 정보추출의 중요성의 문제는 방대해지는 정보의 양과 직결된다. 현재 웹의 정보는 사용자들이 원하는 모든 정도를 담고 있다고 이야기할 수 있을 만큼 많은 정보들이 내재되어 있다. 그러나 이러한 정보의 홍수 속에서 사용자들은 자신이 원하는 정보를 정확히 추출하기란 쉽지 않은 일이며, 정확히 추출이 되었어도 전통적 방식을 따르는 검색엔진은 내용기반 방식을 기초로 웹페이지의 순위를 결정함으로, 사용자에게 중요한 페이지를 상위에 위치시키기란 쉬운 일이 아니다. 본 논문에서는 이러한 전통적 방식의 검색엔진의 문제점을 해결하기 위하여 협동적 순위 평가 방법과 워드넷을 기반으로 검색엔진의 성능 향상 방법을 제안한다.

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A Study of Security Level Conversion Scheme for Security Documents (보안 문서의 보안 수준 변환을 위한 기법 연구)

  • Cho, Do-Eun;Yeo, Sang-Soo
    • Journal of Advanced Navigation Technology
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    • v.15 no.3
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    • pp.405-411
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    • 2011
  • The value of information becomes very high, a large number of research works has been made for acquiring, managing, and using information. In a specific company (or organization), they are classifying company data documents with managed security levels, and they are securing their secured documents. In this paper, we introduce essential technologies enabling to inspect documents securely and to change specific keywords to normal words, in case that a higher security level document should be converted to a lower security level document.

Discriminative Training of Stochastic Segment Model Based on HMM Segmentation for Continuous Speech Recognition

  • Chung, Yong-Joo;Un, Chong-Kwan
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.4E
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    • pp.21-27
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    • 1996
  • In this paper, we propose a discriminative training algorithm for the stochastic segment model (SSM) in continuous speech recognition. As the SSM is usually trained by maximum likelihood estimation (MLE), a discriminative training algorithm is required to improve the recognition performance. Since the SSM does not assume the conditional independence of observation sequence as is done in hidden Markov models (HMMs), the search space for decoding an unknown input utterance is increased considerably. To reduce the computational complexity and starch space amount in an iterative training algorithm for discriminative SSMs, a hybrid architecture of SSMs and HMMs is programming using HMMs. Given the segment boundaries, the parameters of the SSM are discriminatively trained by the minimum error classification criterion based on a generalized probabilistic descent (GPD) method. With the discriminative training of the SSM, the word error rate is reduced by 17% compared with the MLE-trained SSM in speaker-independent continuous speech recognition.

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Preliminary Study of Bioinformatics Patents and Their Classifications Registered in the KIPRIS Database

  • Park, Hyun-Seok
    • Genomics & Informatics
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    • v.10 no.4
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    • pp.271-274
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    • 2012
  • Whereas a vast amount of new information on bioinformatics is made available to the public through patents, only a small set of patents are cited in academic papers. A detailed analysis of registered bioinformatics patents, using the existing patent search system, can provide valuable information links between science and technology. However, it is extremely difficult to select keywords to capture bioinformatics patents, reflecting the convergence of several underlying technologies. No single word or even several words are sufficient to identify such patents. The analysis of patent subclasses can provide valuable information. In this paper, I did a preliminary study of the current status of bioinformatics patents and their International Patent Classification (IPC) groups registered in the Korea Intellectual Property Rights Information Service (KIPRIS) database.

Isolated Word Recognition Algorithm Using Lexicon and Multi-layer Perceptron (단어사전과 다층 퍼셉트론을 이용한 고립단어 인식 알고리듬)

  • 이기희;임인칠
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.8
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    • pp.1110-1118
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    • 1995
  • Over the past few years, a wide variety of techniques have been developed which make a reliable recognition of speech signal. Multi-layer perceptron(MLP) which has excellent pattern recognition properties is one of the most versatile networks in the area of speech recognition. This paper describes an automatic speech recognition system which use both MLP and lexicon. In this system., the recognition is performed by a network search algorithm which matches words in lexicon to MLP output scores. We also suggest a recognition algorithm which incorperat durational information of each phone, whose performance is comparable to that of conventional continuous HMM(CHMM). Performance of the system is evaluated on the database of 26 vocabulary size from 9 speakers. The experimental results show that the proposed algorithm achieves error rate of 7.3% which is 5.3% lower rate than 12.6% of CHMM.

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The Novel Concepts for Reliability Technology

  • Ryu, DongSu
    • Corrosion Science and Technology
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    • v.4 no.5
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    • pp.201-206
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    • 2005
  • Starting with the meaning of the word quality, diverse concepts connoted by the term are examined. Instead of a bathtub curve, the desirable shape of a failure rate covering the entire life of a good product, which might be called hockey-stick line, is introduced. From the hockey-stick line and the definition of reliability, two measurements are extracted. The terms r-reliability (failure rate) and durability (product life) are explained. The conceptual analysis of failure mechanics explains that reliability technology pertains to design area. The desirable shape of hazard rate curve of electronic items, hockey-stick line, clarifies that Mean-Time-to-failure (MTTF) as the inverse of failure rate can be regarded a nominal life. And Bx life, different from MTTF, is explained. Reliability relationships between components and set products are explained. Reshaped definitions of r-reliability and durability are recommended. The procedure to improve reliability and the reasons for failing to identify failure mode are clarified in order to search right solutions. And generalized Life-Stress failure model is recommended for the calculation of acceleration factor.

The Literature Study on the Relationship between Tinnitus and Temporomandibular disorder (이명과 악관절장애간의 상호관계 문헌연구)

  • Kim, Bong-Hyun;Nam, Hae-Jeong
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.24 no.3
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    • pp.74-83
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    • 2011
  • Objective : We investigated relationship between tinnitus and temporomandibular disorder(TMD) and tried to find approach possibility in oriental medicine. Method : We searched Pubmed, Scopus, The Cocharane library and additional sources for published and unpublished trials. Search word was "Tinnitus and TMD" Result : We investigated 18 studies. We divided these studies into three parts, epidemiological studies, mechanical studies and treatment studies. In many epidemiological studies. there was significant relationship between tinnitus and TMD. The mechanism was not clear but in recently several studies proposed neurological approach. TMD treatment showed significant improvement in tinnitus accompanied by TMD. Conclusion : In tinnitus accompanied by TMD, TMD treatment can be available to resolve or reduce tinnitus. Especially in oriental medicine acupuncture can be applied to treat this.

A Study on Information Retrieval Techniques of VOCED Database (직업교육 데이터베이스 VOCED의 검색기법 연구)

  • Kim, Soon-Won
    • Journal of Information Management
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    • v.27 no.1
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    • pp.40-65
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    • 1996
  • This study is to review information retrieval techniques of VOCED database. The VOCED database contains internationally relevant information on vocational and adult education, training and related subjects. The software used is CDS/ISIS and the records are indexed using the APSDEP Thesaurus. When searching the VOCED database, various types of search techniques can be used. Multiple word, phrase, boolean logic, term truncation, defind field, and proximity searching techniques or a mixture of all of them, make it possible to find exactly what you want in seconds.

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Acupuncture Therapy of the Obesity - Current Status in Korea and Recent Developments (침 요법을 통한 국내 비만치료의 최근 경향)

  • Yeom, Seung-Chul
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.23 no.3
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    • pp.548-553
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    • 2009
  • In this study, after we analyzed 44 recent research paper written about obesity treatement, we tried to understand the acupuncture on the obesity treatment of the recent trend. We searched the recent papers with the key word of obesity, obese, and Acupuncture and are limited since 2004 in the search site KISS, KSI. Recently, acupuncture application for obesity treatment were 6 type. Traditional Acupuncture, Auricular Acupuncture, Electro Acupuncture, Herbal Acupuncture, Chi Acupuncture, and Acupoint Catgut Embedding Therapy. Although acupuncture application were effective method to decrease weight and localized fat, they were critical to evaluate to their effectiveness through strict and scientific clinical trials.

A Study on the Consumer's Return Behavior Type in Internet Clothing Purchase (의류제품 구매에서의 반품행동유형 연구 - 인터넷 쇼핑몰 구매를 중심으로 -)

  • Ji, Hye-Kyung
    • Fashion & Textile Research Journal
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    • v.11 no.1
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    • pp.41-47
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    • 2009
  • The purpose of this study was to investigate the main factors of return and consumers' return behavior types and also to find out the characteristics of consumer's purchasing behavior according to consumer's return behavior type. The Questionnaires was administered 315 males and females, who had experience of clothing purchase and return in internet shopping mall. The results were as follows. First, the factors of return were classified into quality of product, delivery, service, consumer's change of mind, and impulse buying. Second, 4 types of consumer's return behavior were categorized into habitual, dissatisfaction in product quality, dissatisfaction in delivery, and impulse buying. Third, Consumer's return behavior types were not significantly related to the frequency of purchase, information search. However there were significant differences in satisfaction of return process, dissatisfaction after return, and negative word of mouth according to the consumer's return behavior types.