• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.103-119
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• 2012

In this paper, we conducted for information search process of users, who have experience to buy paid-application in Appstore, to find out difference of information searching efforts and information sources, reliance on the information in term of attributes of Apps and buyes' innovativenss. As a result, Innovative buyers take a effort to search various information source but they get help buying decision-making supports by own their efforts like searching in category. On the other hand, non-Innovative buyers who search informtion less than Innovative buyers, get information like recommendation from friend and Apps, then they keep those information help buying decision-making supports highly. Besides buyers of Utility Apps search on objective information sources mainly, but those sources have influence on buying decision-making supports. On the other side buyers of Enjoyment Apps consider reliance on the information more than information searching efforts to buying decision-making supports as they get information source like popularity. This research suggests operators of Appstore and app developers how to promote their Apps to users.

• Journal of Distribution Science
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• v.14 no.4
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• pp.117-125
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• 2016

Purpose - As consumers' needs for purchasing fresh and safe food have been bigger in Korea, their interest in local food is also growing recently. So, the number of local food stores has been increased from 3 in 2012 to 103 in 2015. Local food stores should operate a business responding consumers' needs in order that local food stores are not to be a one-time fad. Therefore, the purpose of this study is to analyze the characteristics of consumers who use a local food store and provide helpful implications to design a strategy for sustainable growth of local food store. Research design, data, and methodology - In this study, Probit model was used for empirical analysis in order to examine the effect of purchase choice attributes of agricultural products, consumer's satisfaction, and their demographic factors upon the intention to use a local food store. After estimating coefficients of the probit model, marginal effects were calculated as a standard normal, and cumulative distribution is differentiated with respect to explanatory variables. To collect the data, questionnaire survey was carried out with the consumers using the local food store (Youngjin Nonghyup near to Jeonju city located in Jeollabuk-do). Result - The data analysis found that the more consumers are satisfied with local food store, the higher intention they have to use the local food store. In addition, it was known that the factors related to quality of agricultural products and shopping convenience among the purchase choice attributes have a considerable impact on the purchase intention of a local food store. In demographic factors, income was turned out to be an important factor affecting purchase intention of local food. Such a result supports the hypothesis that high income consumers are likely to purchase local food, which is based on the inference that consumers who have a high income tend to pursue wellbeing life. Futhermore, information delivery, through a reputable media source among general factors, was known to play an important role in forming an intention to purchase local food. According to the analysis of marginal effects, probability of purchase intention of a local food store is increased by 11.4%, if a monthly average income of a household is above 4.5 million Won(Korean currency). If purchasing satisfaction with local food stores is high, the probability of purchase intention would be increased by 24.1%. Likewise, such a probability goes up by 8.7%, 5.8%, respectively as an increasing one unit of quality of agricultural products and shopping convenience of local food stores, respectively. Conclusion - For attaining sustainable growth in a local food store, it is considered necessarily to establish a proper store operation system to meet consumers' needs, especially for quality and shopping convenience of local food. Moreover, as it was found that appropriate communication through media source has a positive effect on the intention to use local food store, PR activity seems to be necessary to expand the consumers' demands for local foods.

• Journal of information and communication convergence engineering
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• v.17 no.2
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• pp.149-160
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• 2019

Web applications typically interact with databases. Therefore, it is very crucial to understand which web components access which database resources when maintaining web apps. Existing research identifies interactions between Java web components, such as JavaServer Pages and servlets but does not extract dependencies between the web components and database resources, such as tables and attributes. This paper proposes a dynamic analysis of Java web apps, which extracts such dependencies from a Java web app and represents them as a graph. The key responsibility of our analysis method is to identify when web components access database resources. To fulfill this responsibility, our method dynamically observes the database-related objects provided in the Java standard library using the proxy pattern, which can be applied to control access to a desired object. This study also experiments with open source web apps to verify the feasibility of the proposed method.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.1205-1211
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• 2003

Having information is most important at the present age. Internet is main source of obtaining information and mobile telecommunication let people communicate each other without any time and space limitation. Recently, advanced technology in telecommunication makes two-way service possible. So, the mobile internet service combined internet with mobile telecommunication is widely and rapidly promoted. Therefore user can transmit and receive a lot of information without time and space restriction using various application technologies. This paper deals with machinery that makes human do office work conveniently in vehicle using mobile internet service. Namely, it tries to design mobile internet machinery combining of wireless payment, GPS module, mobile internet, and mobile office etc. And that can transmit and receive e-mail or documents etc. This machinery has various objects, and design process has complexity. To reduce trial error and processing complexity, Axiomatic Design Method is used to design the machinery.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.915-934
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• 2020

Software refactoring is a process to restructure an existing software code while keeping its external behavior the same. Currently, various refactoring techniques are being used to develop more readable and less complex codes by improving the non-functional attributes of software. Refactoring can further improve code maintainability by applying various techniques to the source code, which in turn preserves the behavior of code. Refactoring facilitates bug removal and extends the capabilities of the program. In this paper, an exhaustive review is conducted regarding bad smells present in source code, applications of specific refactoring methods to remove that bad smell and its effect on software quality. A total of 68 studies belonging to 32 journals, 31 conferences, and 5 other sources that were published between the years 2001 and 2019 were shortlisted. The studies were analyzed based on of bad smells identified, refactoring techniques used, and their effects on software metrics. We found that "long method", "feature envy", and "data class" bad smells were identified or corrected in the majority of studies. "Feature envy" smell was detected in 36.66% of the total shortlisted studies. Extract class refactoring approach was used in 38.77% of the total studies, followed by the move method and extract method techniques that were used in 34.69% and 30.61% of the total studies, respectively. The effects of refactoring on complexity and coupling metrics of software were also analyzed in the majority of studies, i.e., 29 studies each. Interestingly, the majority of selected studies (41%) used large open source datasets written in Java language instead of proprietary software. At the end, this study provides future guidelines for conducting research in the field of code refactoring.

• Korean Journal of Human Ecology
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• v.24 no.1
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• pp.79-96
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• 2015

The purpose of this research was to analyze the clothing behavioral attributes of male music enthusiasts. A questionnaire was developed based on previous researches. Respondents were men who were concerned with music in terms of a job, a major or a hobby. A total of 200 responses were analyzed by SPSS 20.0 through factor analysis with Varimax rotation, ANOVA with post-hoc test(SNK-test) and ${\chi}^2$-test. Music preference was classified into 3 factors: New age/jazz, Hiphop/dance, and Metal rock/ballad factor. 5 Clothing purchasing orientation factors were extruded: hedonic, planned, convenience, brand pursued, and fashion pursued purchasing orientation. Using those factor scores, 3 groups were classified: Group1(G1), preferring Hiphop/dance music with lower hedonic and brand/fashion pursued purchasing orientation; G2, preferring Hiphop/dance music with no interest in clothing shopping and fashion; G3, preferring New age music with high convenience and brand pursued purchasing orientation. In addition, there were significant differences among groups in clothing behavior such as social ostentation, individuality, self-expression, fashionability, conformity; in purchase motivation such as hedonic and trend/designer oriented purchase motivation; in information source like advertisement/media source; and in store choice criteria such as store light/music and popularity. The findings showed even the enthusiasts for the same music showed the different sopping orientation and different clothing behavior, suggesting that a personal value or taste can be a plausible factor to figure out attributes of consumers. An interest/involvement in clothing could be helpful to subdivide the music enthusiasts as the target market.

• Journal of KIISE:Information Networking
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• v.32 no.4
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• pp.543-550
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• 2005

Demand for better services in the Internet has been increasing due to the rapid growth of the Internet, and hence next generation routers are required to perform intelligent packet classification. For a given classifier defining packet attributes or contents, packet classification is the process of identifying the highest priority rule to which a packet conforms. A notable characteristic of real classifiers is that a packet matches only a small number of distinct source-destination prefix pairs. Therefore, a lot of schemes have been proposed to filter rules based on source and destination prefix pairs. However, most of the schemes are based on sequential one-dimensional searches using trio which requires huge memory. In this paper, we proposea memory-efficient two-dimensional search scheme using source and destination prefix pairs. By constructing binary prefix tree, source prefix search and destination prefix search are simultaneously performed in a binary tree. Moreover, the proposed two-dimensional binary prefix tree does not include any empty internal nodes, and hence memory waste of previous trio-based structures is completely eliminated.

• Journal of the Korean Home Economics Association
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• v.33 no.1
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• pp.61-70
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• 1995

The purpose of this were 1) to classify patronage consumer of outlet store related to types of outlet store, 2) to investigate differences among groups in 4 variables(importance of store attributes, shopping orientations, and the use of information source, demographic variables). The questionnaire was administered to 344 women living in Seoul, and the methods used to analyze the data were Frequecy, Factor analysis, ANOVA, F-test, and X2 test. The results were as follows: 1) outlet store consumers were classified into 3 patronage group: patronage group of outlet store for imported licence brands, for domestic brands, and for famous brands in off-price store system. 2)There were some significant differences among 3 groups. Those who patronize outlet store of imported licence brands were most likely to give importance on exclusiveness of store, to be brand loyal/conscious, not to enjoy classical style, to use information of fashion publications/TV, observations, and to be highly educated.

• Journal of Internet Computing and Services
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• v.18 no.3
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• pp.49-61
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• 2017

Wikipedia infoboxes have emerged as an important structured information source on the web. To compose infobox for an article, considerable amount of manual effort is required from an author. Due to this manual involvement, infobox suffers from inconsistency, data heterogeneity, incompleteness, schema drift etc. Prior works attempted to solve those problems by generating infobox automatically based on the corresponding article text. However, there are many articles in Wikipedia that do not have enough text content to generate infobox. In this paper, we present an automated approach to generate infobox for movie domain of Wikipedia by extracting information from several sources of the web instead of relying on article text only. The proposed methodology has been developed using semantic relations of article content and available semi-structured information of the web. It processes the article text through some classification processes to identify the template from the large pool of template list. Finally, it extracts the information for the corresponding template attributes from web and thus generates infobox. Through a comprehensive experimental evaluation the proposed scheme was demonstrated as an effective and efficient approach to generate Wikipedia infobox.

• The Korean Journal of Emergency Medical Services
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• v.3 no.1
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• pp.77-90
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• 1999

This study focuses on investigating and analyzing overall information use behavior of the health fields researchers. Questionaries were 116 researchers in there nursing university or college and EMT college. Four areas were tested on the basis of the purpose that there would exist unique characteristics in the information seeking behavior of health fields researchers. The findings of the study shows that health fields researchers prefer monographs and journals; they tend to use current materials; the first information source for their research activities is the cited references in the book or journal article; they are likely to delegate literature searching to the librarian, but they tend to conduct direct searching in online setting; in general, they react positively for the rapid change in information environment caused by recent development of information technology. It is emphasized that to design an efficient information system and provide an effective information service in the health science related library or information center, it is essential to consider the major characteristics and attributes of health fields researchers in terms of their information use behavior.