• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.69-74
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• 2014

Numerious agencies are trying to install many surveilance systems in their jurisdiction. A mashup,is a page, or application, that uses content from more than one source to create a single new service displayed in a single graphical interface. The main characteristics of a mashup are combination, visualization, and aggregation. It is important to make existing data more useful, for personal and professional use. To be able to permanently access the data of other services, mashups are generally client applications or hosted online. This study is utilizing mash-up technology to provide suitable location scheme for monitoring and surveilance system in order to utilize existing infrastructure and to provide better service to the public.

• Journal of Korea Spatial Information System Society
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• v.11 no.1
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• pp.87-96
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• 2009

In u-GIS environments, a geographic information service system for mobile phone is consumer(user) oriented service system based on existing GIS and LBS considering characteristic of mobile phone. In the past, development of a geographic information service system for mobile phone dependent on various hardware specification of mobile phones and mobile operators. From now on, the geographic information service system for mobile phone independents on hardware specification of mobile phones and mobile operators. Also, it changes from service oriented GIS provider(specialist) to service oriented consumer. For the satisfaction of this requirement, we propose a design of geographic information service system for mobile phone using FLEX for creates standard execution file. The standard execution file is able to apply various mobile phone. And we propose a management method of picture contents combination of location information that geographic information service system for mobile phone is provided it firstly. In this system, it provides facilities that display map, manage location, manage contents, manage mash-up, manage map data. And then it provide facility of swf generation for display result map on mobile phone. In this paper, we are implemented the proposed system and seen same results in various mobile phone. The created *.swf file provides same result at any time, anywhere, anyone in spite of different zoom level and different display screen.

• Journal of Global Scholars of Marketing Science
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• v.8
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• pp.475-490
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• 2001

The purpose of this study were to identify the difference of demographic variables, motivation and dissatisfaction to purchase of groups who classified by frequency of purchase. Data were collected via intercept surveys conducted at nine regional branches of two major department stores situated in Seoul. Participants(n=1,120), who had previously purchased women's private brand apparel, were asked to complete a questionnaire. The results of this study were as follows; The subjects were classified into 3 groups by frequency of purchase and their demographic variables were analyzed. The customer groups of high frequency who were 18 to 39 years old had some college education, housewives and white collar workers. Their monthly household income is one to three million won and their monthly expenditure is 100,000 to 300,000 won on apparel shopping. The most important purchase motivation of lower frequency groups was design, whereas that of middle and high frequency groups was good quality over price.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.133-146
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• 2022

Despite the fact that Internet users around the world watch YouTube every day, very few users accurately recognize the recommendation algorithm for search results, and Google and YouTube are not disclosing it. Researchers tried to explore the undisclosed algorithm of YouTube in a reverse engineering design method, find key factors, and check the logical structure in which media platform operators recommend keyword search results and arrange them on the screen. Therefore, researchers studied the basic content priority factors through several months of discussion and data collection, and tried to reverse engineer the influencing factors based on the recommendation results according to male and female gender among the collected keyword search results. Although researchers' design only analyzed some of the almost infinite level of data uploaded and viewed for more than hundreds of hours every hour, these exploratory attempts will study media platform algorithms in the future, understand the intentions of operators, and protect users. thought it could be done.