• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.126-136
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• 2020

Recently, unmanned aerial vehicles (UAV, Drone) are highly regarded for their potential in the agricultural field, and research and development are actively conducted for various purposes. Therefore, in this study, to present a framework for tracking research trends in UAV use in the agricultural field, we secured a keyword search strategy and analyzed social network, a methodology used to analyze recent research trends or technological trends as an analysis model applied. This study consists of three stages. As a first step in data acquisition, search terms and search formulas were developed for experts in accordance with the Keyword Search Strategy. Data collection was conducted based on completed search terms and search expressions. As a second step, frequency analysis was conducted by country, academic field, and journal based on the number of thesis presentations. Finally, social network analysis was performed. The analysis used the open source programming language 'Python'. Thanks to the efficiency and convenience of unmanned aerial vehicles, this field is growing rapidly and China and the United States are leading global research. Korea ranked 18th, and bold investment in this field is needed to advance agriculture. The results of this study's analysis could be used as important information in government policy making.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.11
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• pp.1485-1497
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• 2005

The purpose of this study was to define the mutual relationship between the explanatory variables of brand loyalty and consumer's fashion luxury brand loyalty, and ultimately to show a path model of fashion luxury brand loyalty. Especially this was focused on the relationship among social risk perception, symbolism involvement, marketer leading information search, and continuing brand loyalty. In the empirical study, a questionnaire was developed through the literature search and a survey was conducted both in on-line and off-line questionnaire simultaneously. Finally 291 data from males and females who had a buying experience of luxury brand goods were analyzed. The result showed the 4 significant paths of fashion luxury brand loyalty existed, such as social risk perception$\rightarrow$symbolism involvement, social risk perception$\rightarrow$marketer leading information search, symbolism involvement$\rightarrow$continuing brand loyalty, marketer leading information search$\rightarrow$continuing brand loyalty. And the explanatory factor which has the strongest influencing power to continuing brand loyalty was symbolism involvement. The powers of social risk perception and marketer leading information search to continuing brand loyalty were weaker than symbolism involvement. The findings of this study are expected to contribute to develop a theory on the consumer's loyalty to fashion luxury goods and marketing strategies for enhancing the brand loyalty.

• Journal of Information Science Theory and Practice
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• v.7 no.3
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• pp.21-30
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• 2019

Information about the formation and filling (in 2014 to 2016) of a terminological dictionary on electronics and radioengineering and collective work (in 2017 to 2018) with a data bank "TERMIN" is presented in this article. In purpose of creating an instrument of navigating the modern scientific-technical space a net of terms with set semantic links is described. This set is based on the analysis of terms' definitions (each term is checked for inclusion in the definitions of all other terms; the definitions were borrowed from reputable reference editions: encyclopedias, dictionaries, reference books). The created model of a system that consists of different information sources, in which it (information) is indexed by the terminology of Russian State Rubricator of Scientific and Technical Information rubrics and/or keywords, is described. There is an access for the search in all these sources in the system. Searching inquiries are referred to in the language of these rubrics or formulated by arbitrary terms. The system is to refer to information sources and give out relevant information. In accordance with this model, semantic links of various types, which allow expanding a search at different modalities of query, should be set among data bank terms. Obtained links will have to increase semantic matching, i.e., they can provide actual understanding of the meaning of the information that is being sought.

• International Journal of Contents
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• v.8 no.1
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• pp.61-68
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• 2012

Previous research on online health (e-health) information was primarily focused on consumer information search behavior and information quality. Although studies addressing online information quality have flourished, they have yet to thoroughly examine whether consumers actually use the information they search. The purspose of this study suggests a conceptual framework that examines the potential antecedents of a consumers' willingness to depend on e-health information as an indicator of the consumer's trust of the provided e-health information. The proposed antecedents include healthcare product involvement, online skill level, perceived quality, and credibility of the source. Using structural equation modeling on online survey data, seven hypotheses, which describe the relationships between the variables of the model, were tested. The results indicate that consumer willingness to depend on provided e-health information was significantly influenced by the consumers' perceived quality and credibility of specific e-health information. Consumer involvement in healthcare and their online skill-level, respectively, also positively related to perceived quality and credibility regarding e-health information.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.1 s.139
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• pp.136-148
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• 2005

The purpose of this study identifies how attributes of the website influences on consumer attitude toward the website. For this purpose, the study tested covariance structural model which set relationships among independent variables(interactivity, search and visual information of website), mediated variables(utilitarian shopping value and hedonic shopping value) and dependent variables(attitude toward website). The data were collected from a sample of 271 internet shopper of university students(male: 82, female: 189). They visited the website for apparel shopping and, after searching a casual clothing which they wanted to buy, requested to answer the questionnaire. The covariance structural model and research hypothesis analyzed by using AMOS 4.0 program. The results are as follows: First, the structural model is accepted significantly. Second, interactivity of the website has a positive impact on perceived utilitarian and hedonic shopping values of the website and visual information of the website also influence hedonic shopping value of the website positively. Third, utilitarian and hedonic shopping values have a positive influence on attitude toward the website for apparel shopping.

• Journal of the Korean Society for information Management
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• v.23 no.4 s.62
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• pp.317-339
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• 2006

New concept of bibliographic data and its scheme are needed to accommodate a change resulting from the emergence of new forms of electronic publishing, and the advent of networked access to information resources. FRBR model was developed for defining functions performed by the bibliographic data with respect to various media, various applications, and various user needs. Several institutions including OCLC and RLG or vendors have tried to implement the FRBR on OPAC systems. The purpose of this study is to propose the strategies for developing bibliographic interface based the FRBR model. This study is to review the representative FRBRized systems and compare the systems regarding on search interface and display interface.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.384-386
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• 2009

This paper introduces an effectively optimized Fuzzy model identification by means of complex and nonlinear system applying PSO algorithm. In other words, we use PSO(Particle Swarm Optimization) for identification of Fuzzy model structure and parameter. PSO is an algorithm that follows a collaborative population-based search model. Each particle of swarm flies around in a multidimensional search space looking for the optimal solution. Then, Particles adjust their position according to their own and their neighboring-particles experience. This paper identifies the premise part parameters and the consequence structures that have many effects on Fuzzy system based on PSO. In the premise parts of the rules, we use triangular. Finally we evaluate the Fuzzy model that is widely used in the standard model of gas data and sew data.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2435-2438
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• 2003

In this paper, we propose a Korean speech understanding model using dictionary and thesaurus. The proposed model search the dictionary for the same word with in input text. If it is not in the dictionary, the proposed model search the high level words in the high level word dictionary based on the thesaurus. We compare the probability of sentence understanding model with threshold probability, and we'll get the speech understanding rate. We evaluated the performance of the sentence speech understanding system by applying twenty questions game. As the experiment results, we got sentence speech understanding accuracy of 79.8％. In this case probability of high level word is 0.9 and threshold probability is 0.38.

• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.203-213
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• 2014

In this study, we proposed a new model with ISOIA (Insect Search by Observation based on Insect Appearance) method based on observation by insect appearance to improve user satisfaction, and compared it with the ISBC and ISOBC methods. In order to test these three insect search systems with AHP method, we derived three evaluation criteria for user satisfaction and three sub-evaluation criteria by evaluation criterion. In the ecological environment, non-experts need insect search systems to identify insect species and to get u-Learning contents related to the insects. To assist the public the non-experts, ISBC (Insect Search by Biological Classification) method based on biological classification to search insects and ISOBC (Insect Search by Observation based on Biological Classification) method based on the inference that identifies the observed insect through observation according to biological classification have been provided. In the test results, we found the order of priorities was ISOIA, ISOBC, and ISBC. It shows that the ISOIA system proposed in this study is superior in usage and quality compared with the previous insect search systems.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.489-500
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• 2009

This research takes a user-centered approach to define relevance, the core concept in information retrieval. The literature on relevance has identified numerous factors affecting such a judgment. We examined the model of user relevance judgment that describes the relationship between user relevance criteria and different types of relevance with information search task. We consider 7 criteria of user relevance-topicality, novelty, reliability, understandability, specificity, richness, and interest-and 3 type of user relevance-cognitive relevance, situational relevance, and affective relevance. Data were collected from a semi-controlled survey and analyzed by a structural equation modeling. As a result, topicality and reliability were found to be the essential relevance criteria in all information retrieval tasks. In the fact search task, topicality, reliability, novelty, richness, and interest were found to be significant. In the problem solving search task, topicality, reliability, understandability, and specificity were found to be significant. In the decision making search task, topicality, reliability, novelty, understandability, richness, specificity, and interest were found to be significant. In addition, the relationships between types of user relevance were determined. This research made theoretical and practical contributions to the field of information retrieval by identifying a definite model of user relevance judgment.