• Journal of the Korea Society of Computer and Information
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• v.4 no.1
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• pp.21-27
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• 1999

In this paper. we propose a new method for automatic classification of documents using the degree of similarity between words. First, we seek relevance terms using automatic indexing. Second, we found frequency in use words in documents and the degree of relevance between the words using probability model. Continuously, we extracted the set of words which is connected the relevance closely and created the profiles characterizing each classification And, with the profile we finally classified them. We experimented on classifying two groups of documents. Some documents were about Genetic Algorithm. The others were about Neural Network. The results of the experiments indicated that automatic classification with word accordance of degree enable us to manage the retrieved documents structurally.

• Journal of the Korean Society for information Management
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• v.13 no.2
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• pp.143-163
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• 1996

Relevance judgments play a very important role in evaluation of information systems since the degree of success of the information retrieval depends on the relevance judgments. This article reviews the theoretical background of the concept of 'relevance' associated with information retrieval evaluation and tries to identify whether there is any factor that affects relevance judgments. By reviewing previous researches done in the information retrieval evaluation field, four variables have been identified as impacting factors, such as document surrogates presented to judges, the order of presentation, measuring devices of relevance judgments and judges.

• Journal of Korean Institute of Industrial Engineers
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• v.24 no.1
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• pp.95-103
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• 1998

This paper deals with technology relevance analysis, which measures technological dependency between needs technology and its component technology as well as between needs technologies. The two-round survey was carried out: In the first round, a wide range of needs technologies in construction and building industry were identified and classified to meet a variety of social needs which were anticipated in the near future of Korea. In the second, relevance between needs technology and its component technologies was checked by some 120 experts. Based on the survey results, the individual relevances among needs technologies were computed. Finally the ranking of needs technologies in construction industry was set according to the degree of technology relevance. This relevance is to be used as one of criteria for the selection of national R&D projects which the Ministry of Construction and Transportation plans to promote in the next five years.

• Journal of Advanced Navigation Technology
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• v.14 no.4
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• pp.495-503
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• 2010

The clustering is an important mechanism thai provides information for mobile nodes efficiently and improves the processing capacity for routing and the allocation of bandwidth. This paper proposes a clustering scheme based on the fuzzy relevance degree to solve problems such as node distribution found in the dynamic property due to mobility and flat structure and to enhance the routing performance. The proposed scheme uses the fuzzy relevance degree, ${\alpha}$, to select the cluster head for clustering in FSV (Fuzzy State Viewing) structure. The fuzzy relevance ${\alpha}$ plays the role in CH selection that processes the clustering in FSV. The proposed clustering scheme is used to solve problems found in existing 1-hop and 2-hop clustering schemes. NS-2 simulator is used to verify the performance of the proposed scheme by simulation. In the simulation the proposed scheme is compared with schemes such as Lowest-ID, MOBIC, and SCA. The simulation result showed that the proposed scheme has better performance than the other existing compared schemes.

• Journal of Internet Computing and Services
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• v.7 no.3
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• pp.155-167
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• 2006

It is desirable if users surfing on the Internet could find Web pages related to their interests as closely as possible. Toward this ends, this paper presents a topic specific Web crawler computing the degree of relevance. collecting a cluster of pages given a specific topic, and refining the preliminary set of related web pages using term frequency/document frequency, entropy, and compiled rules. In the experiments, we tested our topic specific crawler in terms of the accuracy of its classification, crawling efficiency, and crawling consistency. First, the classification accuracy using the set of rules compiled by CN2 was the best, among those of C4.5 and back propagation learning algorithms. Second, we measured the classification efficiency to determine the best threshold value affecting the degree of relevance. In the third experiment, the consistency of our topic specific crawler was measured in terms of the number of the resulting URLs overlapped with different starting URLs. The experimental results imply that our topic specific crawler was fairly consistent, regardless of the starting URLs randomly chosen.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3003-3014
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• 2018

This paper investigates whether the value relevance of unbilled revenue in the construction company is differentiated according to the degree of company's operational efficiency. Unbilled revenue is an item that appears in the assets of the statement of financial position based on the IFRS. It is an item that has a nature of accounts receivable, but it is calculated based on subjective judgment of management. In this paper, we hypothesized that the value relevance of unbilled revenue will be differentiated according to operational efficiency of the construction company. The results of hypothesis test are as follows. First, unbilled revenue has a significant relationship with firm's value, which is consistent with previous research results. Second, the value relevance of unbilled revenue is higher in companies with high operational efficiency. In conclusion, this paper is different from previous researches in that this paper presents not only that unbilled revenue has a value relevance but also provides evidence that it can be differentiated according to the degree of operational efficiency.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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• pp.2728-2739
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• 1999

This paper proposes an effective fusion algorithm for retrieval results from heterogeneous information sources in federated digital libraries. The algorithm determines the population of documents retrieved from involved information sources for a given query and evaluates the degree of relevance between the query and the population. The evaluated results are used as relevance distribution information for collection fusion. The main informations used for the fusion are relevance distribution among collections, the population size N, and ranking information of relevant documents in their origin. We also present th performance evaluation of the algorithm by developing the prototype of a meta-searcher.

• Journal of KIISE:Databases
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• v.27 no.1
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• pp.90-100
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• 2000

We propose, in this paper, a new query expansion technique with term reweighting. All terms in the documents feedbacked from a user, excluding stopwords, are selected as candidate terms for query expansion and reweighted using the relevance degree which is calculated from the term-distribution similarity between a candidate term and each term in initial query. The term-distribution similarity of two terms is a measure on how similar their occurrence distributions in relevant documents are. The terms to be actually expanded are selected using the relevance degree and combined with initial query to construct an expanded query. We use KT-set 1.0 and KT-set 2.0 to evaluate performance and compare our method with two methods, one with no relevance feedback and the other with Dec-Hi method which is similar to our method. based on recall and precision.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.2
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• pp.211-232
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• 2024

This study examines the morphological and expressive aspects of fashion and its connection to music at Korean music festivals. The research involves a theoretical review and a case study analyzing fashion and music at rock, EDM, hip-hop, and jazz festivals in Korea from 2019 to 2023. The process of selecting fashion cases was reviewed by experts in the field of fashion, and expert focus group interviews were used. The study found that while fashion and music differ in terms of their fundamental morphological components of sensory media, they share features in terms of sensory harmony between their components. In terms of expressive aspects of fashion, it was found that the subject and object of expression are the same for the artist and for the audience. Both music and fashion have sensory transmission and communication between the subject and the audience, and both transmit personal and social meaning. Using these commonalities as indicators of relevance, a relevance evaluation was conducted. As a result of the evaluation, popular music festival fashion and music were interpreted as having a high degree of relevance in terms of expressing emotions and tastes, providing a sense of belonging to a community, and conveying cultural meaning.

• Journal of Korean Home Economics Education Association
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• v.11 no.2
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• pp.1-11
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• 1999

The purpose in this study is to identify beliefs about curriculum orientation of Korean secondary school home economics teachers for the development of home economics curriculum and the change of their curriculum orientation. The curriculum orientations explored were academic rationalism, technical, cognitive process, personal relevance, and social reconstruction. A mail questionnaire, Individual Curriculum Orientation Profile (ICOP), was used to survey randomly selected 525 home economics teachers. Home economics teachers agreed with the cognitive process as their predominant curriculum orientation. The second predominant type with which home economics teachers agreed most was personal relevance orientation. Home economics teachers’age, major, college type, and teaching years were significantly related to the academic rationalism curriculum orientation, and the college type for bachelor’s degree was significantly related to the technical curriculum orientation. Age and major in master’s degree were significantly related to the social reconstruction curriculum orientation.