• Journal of Fashion Business
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• v.21 no.4
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• pp.127-143
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• 2017

In this study, we examine a variety of influences in the field of design and analysis about the value of visual tactile design. In hair design, through study on visual tactility, creative design inspiration in the field of hair design enables development of quality research. Research methods use Internet publications such as local and foreign data, analysis, and related research and book forms, such as network searches. library goes for consideration by a literature search. Contents of this study used review of the case and by visual tactility design, for this study, expressive characteristics by color, texture and form of hair design, from 2014-2017 trend shown in the last three years the expressions of visual tactility being used through the analysis of design by date of the case. Result of this study is, visual tactile design appearing in the areas of hair design, that are not of the rules that are active, abstract form, texture, described as a visual feel the promotion of effective, and light and high brightness is sweet tactile impression, high saturation was cold, dark color was hard and heavy, red system is warm and the blue system is cold sense. In general, design trend in hair for three years from 2014-2017, visual tactility in 2014 is a high saturation and unstructured also soft and bright colors. 2015 is on the overall shape, color, texture, hybrid design configuration is more. As of 2016, 2017 is curved and straight texture, appearance of the hybrid mix to maximize the visual tactility.

• Journal of Biosystems Engineering
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• v.39 no.4
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• pp.267-273
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• 2014

Purpose: This study was conducted to develop a web-based business management system to ensure the efficient operation and transparent management of government-subsidized agricultural machinery rental businesses. Methods: An MS_SQL2000 database management system (DBMS) solution was utilized in the system for high system compatibility and integrated management. This system was targeted to be compatible with Internet Explorer 6.0 or later and to ensure security and seamless web operations. The system administrator is able to manage a fleet of agricultural machinery, including various inventory codes, release and return, fleet registry, and business performance. Users (farmers) may search the database of rental machinery and reserve them. Results: With respect to rental reservations, the system administrator can manage the fleet by setting the rental status to Approved, Released, or Returned. Through the web, the administrator can also create a database that includes machinery specifications, features, and rental rates. In addition, business performance data can be analyzed using a diverse array of tools to streamline the rental business. Without having to go to the rental office, users can save time and money by searching for and renting agricultural machinery through the information available on the website, including availability, specifications, and rental fees. After deploying the system, the time required to analyze monthly performance and create reports was dramatically reduced from 20 days per person to one day per person. Conclusions: Since 2014, AMRB has been installed and is operating in agricultural machinery rental businesses in 31 cities and counties in South Korea. This study recommends continued expansion and dissemination of AMRB for the systematic and efficient management of agricultural machinery rental businesses.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.190-197
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• 2009

Domestic free TVs play roles as for contents provider and TV station : they need to acquire not only ad revenues but also distribution revenues from internet service, cable channel and DMB. It is however doubtful to keep the windowing of programs through the different windows due to recent decrease of ad revenues of the stations. Therefore, the purpose of this study is to search for the mechanism of windowing of free TV's programs and the strategy of the distribution. As a result, the life cycle of the broadcasting programs is so short to be distributed within 7 days, Regarding the windowing, there are at first the strategy increasing the accumulated revenue by the diversification of the windows ; secondly, the strategy focusing on the prospective window neglecting the holdback. It is necessary to choose to take the appropriate strategy by the particularity of each program and the market background.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.454-462
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• 2017

The purpose of this study was to explore the lonely-death phenomenon and to understand the circumstances surrounding the lonely-death cases among elderly people by examining the articles on such phenomenon and the media reports of such cases. The cases of lonely death reported from 2007 to 2017 were used. Case analysis was conducted, and the news articles that described the lonely death cases were identified using an internet search engine. Forty seven cases were analyzed. Several risk factors emerged from the data obtained, such as economic hardship, chronic illness, mental health problems like alcohol addiction, social isolation, disconnection from family members or the neighborhood, unemployment, single household, unmarried or divorced status, and living in an urban area. Based on the findings, prevention strategies were addressed.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.60-69
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• 2017

Recently, with the rapid development of internet and smart phones, social network services that can create and share various information through relationships among users have been actively used. Especially as the amount of information becomes enormous and unreliable information increases, expert recommendation that can offer necessary information to users have been studied. In this paper, we propose an expert recommendation scheme considering users' interests, human relations, and response quality. The users' interests are evaluated by analyzing their past activities in social network. The human relations are evaluated by extracting the users who have the same interesting fields. The response quality is evaluated by considering the user's response speed and response contents. The proposed scheme determines the user's expert score by combining the users' interests, the human relations, and the response quality. Finally, we recommend proper experts by matching queries and expert groups. It is shown through various performance evaluations that the proposed scheme outperforms the existing schemes.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.600-608
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• 2017

Recently data growth rates are growing exponentially according to the rapid expansion of internet. Since users need some of all the information, they carry a heavy workload for examination and discovery of the necessary contents. Therefore information retrieval must provide hierarchical class information and the priority of examination through the evaluation of similarity on query and documents. In this paper we propose an Multi-class support vector machines model based clustering for hierarchical document categorization that make semantic search possible considering the word co-occurrence measures. A combination of hierarchical document categorization and SVM classifier gives high performance for analytical classification of web documents that increase exponentially according to extension of document hierarchy. More information retrieval systems are expected to use our proposed model in their developments and can perform a accurate and rapid information retrieval service.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.543-551
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• 2015

As the use of internet and mobile devices became generalized, users utilizing search and recommendation in order to find the information they want in the midst of various websites have become common. In order to recommend more appropriate item for users, this paper proposes a recommendation technique that reflects the users' preference change following the flow of time by applying users' activity and time information. The proposed technique, after classifying the data in categories including the tag information that is considered at the time of choosing the items, only uses the data that users' preference change following the flow of time is reflected. For the users who prefer the corresponding category, the item that is extracted by applying tag information to collaboration filtering technique is recommended and for general users, items are recommended based on the ranking calculated by using the tag information. The proposed technique was experimented by using hetrec2011-movielens-2k data set. The experiment result indicated that the proposed technique has been more enhanced the accuracy, appropriacy, compared to item-based, user-based method.

• Journal of the Korean Society for information Management
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• v.23 no.3 s.61
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• pp.91-125
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• 2006

Recent advancements in information technology and the Internet have caused an explosive increase in the information available and the means to distribute it. However, such information overflow has made the efficient and accurate search of information a difficulty for most users. To solve this problem, an information retrieval and filtering system was developed as an important tool for users. Libraries and information centers have been in the forefront to provide customized services to satisfy the user's information needs under the changing information environment of today. The aim of this study is to propose an efficient information service for libraries and information centers to provide a personalized recommendation system to the user. The proposed method overcomes the weaknesses of existing systems, by providing a personalized hybrid recommendation method for multimedia contents that works in a large-scaled data and user environment. The system based on the proposed hybrid method uses an effective framework to combine Association Rule with Collaborative Filtering Method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.129-130
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• 2018

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Artificial Intelligence" keyword, one month as of May 19, 2018. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Artificial Intelligence" has been found to be technology (4,122). This study suggests theoretical implications based on the results.

• Journal of Korean Library and Information Science Society
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• v.40 no.2
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• pp.161-182
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• 2009

The purpose of this research is to investigate the relationship between personal traits and information behavior theoretically. Personal traits are often represented by "major type of personality found in an ethnic group or society" and measured by both degrees of affection and dependency in this study. In turn, information behavior is used to include unique features in information needs, information seeking, information source preference, and information searching pattern in library and internet. The data was collected through a survey with 162 college freshmen, and analyzed for both frequency test and Chi-square test. The major research result shows that dependency rather than affection has a statistically meaningful relation with information behavior, in particular, information needs and source preference. Also made are several methodological suggestions for further research.