• Spatial Information Research
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• v.18 no.4
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• pp.129-140
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• 2010

Large portal sites such as Google, NAVER provide Various services based on the map. Thus, interest and demand of users who want to obtain the region-related information has been increased. And services that combine the regional information with the map are provided currently at the large portal sites. However, the existing services of large portal sites do not provide enough detailed information and are inconvenient because acquisition process of related information is repeated. Therefore, the system that enables users to obtain detailed information related on the specific region synthetically and easily is needed. In this paper, we propose a system model using map interface and knowledge-processing in order to build the system that is useful for acquiring regional information. The model consists of 3-Layers: 'Regional Information Web-Documents Layer', 'Unique Regional Information Layer', and "Map-Interface Layer'. The Integrated Region~Related Information Searching System based on the model is implemented through the following 4-steps: (1) extracting the keywords that represent specific region (2) collecting the related web pages (3) extracting a set of related keywords and computing an association between the keywords (4) implementing a user interface. We verified validity on the model we proposed. knowledge-processing algorithm using affinity matrix, and UI that help users conveniently search by applying the system to region of the Goyang City. This system integrates regional information existing merely individual 'information' and provides users the 'knowledge' that is newly produced and organized. Users can obtain various detailed regional information and easily get related information through this system.

• Journal of National Security and Military Science
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• s.9
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• pp.191-206
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• 2011

This study is presented a scheme that information security research institutions located within the central area can be participated actively m national defense information security industry. The many of information security company are located in the central region(Daejeon) and there are many research institutes. However, the participation rate of the Defense Information Security Industry is not high compared to other provinces. Although a variety of reasons, there are no the Defense Privacy Office that could have a role in protocol and the information about the industry. In addition, the Department of Defense related to national defense information security industry have not information about research institutions in the central region and are not well to identify the characteristics of institutional technology and research. So in this paper we presented some of the alternatives. 1) Building Pool involved in information security research according to the characteristics of each agency 2) Constitute the research community between Research institutions and the company 3) Build the technology cooperation between research institutions and the defense research institutes 4) Utilization of industry/university/research institutes related to Information Security Industry 5) Make strategic alliances among research institutes based on technical expertise.

• Fashion & Textile Research Journal
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• v.13 no.3
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• pp.382-389
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• 2011

Pants is an item of clothes of which physical suitability for improvement of appearance and movement is greatly emphasized. The pattern design of pants is very important because the fitness of crotch region, which is difficult to measure, is structurally essential in pants. This study gives detailed pattern development data for the future pattern design by considering design factors related with crotch region of pants and by suggesting related data. For this study, we measured and analyzed the measuring size of each parts of pattern and the design methods related with crotch region selecting 20 textbooks used in universities and institutes of higher education. Through this study, crotch region of pants pattern related design data were obtained and this result could be a primary information in development and education of pants pattern.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.4
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• pp.71-79
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• 2017

Recently, Fire watching and dangerous substances monitoring system has been being developed to enhance various fire related security. It is generally assumed that fire flame extraction plays a very important role on this monitoring system. In this study, we propose the fire flame extraction method of Non-Residential Facilities based on core object extraction in image. A core object is defined as a comparatively large object at center of the image. First of all, an input image and its decreased resolution image are segmented. Segmented regions are classified as the outer or the inner region. The outer region is adjacent to boundaries of the image and the rest is not. Then core object regions and core background regions are selected from the inner region and the outer region, respectively. Core object regions are the representative regions for the object and are selected by using the information about the region size and location. Each inner region is classified into foreground or background region by comparing its values of a color histogram intersection of the inner region against the core object region and the core background region. Finally, the extracted core object region is determined as fire flame object in the image. Through experiments, we find that to provide a basic measures can respond effectively and quickly to fire in non-residential facilities.

• The Journal of Information Systems
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• v.29 no.3
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• pp.35-52
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• 2020

Purpose Local governments in each region actively hold local festivals for the purpose of promoting the region and revitalizing the local economy. Existing studies related to local festivals have been actively conducted in tourism and related academic fields. Empirical studies to understand the effects of latent variables on local festivals and studies to analyze the regional economic impacts of festivals occupy a large proportion. Despite of practical need, since few researches have been conducted to predict the number of visitors, one of the criteria for evaluating the performance of local festivals, this study developed a model for predicting the number of visitors through various observed variables using a machine learning algorithm and derived its implications. Design/methodology/approach For a total of 593 festivals held in 2018, 6 variables related to the region considering population size, administrative division, and accessibility, and 15 variables related to the festival such as the degree of publicity and word of mouth, invitation singer, weather and budget were set for the training data in machine learning algorithm. Since the number of visitors is a continuous numerical data, random forest, Adaboost, and linear regression that can perform regression analysis among the machine learning algorithms were used. Findings This study confirmed that a prediction of the number of visitors to local festivals is possible using a machine learning algorithm, and the possibility of using machine learning in research in the tourism and related academic fields, including the study of local festivals, was captured. From a practical point of view, the model developed in this study is used to predict the number of visitors to the festival to be held in the future, so that the festival can be evaluated in advance and the demand for related facilities, etc. can be utilized. In addition, the RReliefF rank result can be used. Considering this, it will be possible to improve the existing local festivals or refer to the planning of a new festival.

• Journal of Korea Multimedia Society
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• v.20 no.11
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• pp.1729-1740
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• 2017

This paper describes a vision-based method that effectively recognize a traffic light. The method consists of two steps of traffic light detection and discrimination. Many related studies have used color information to detect traffic light, but color information is not robust to the varying illumination environment. This paper proposes a new method of traffic light detection based on intensity and saturation. When a traffic light is turned on, the light region usually shows values with high saturation and high intensity. However, when the light region is oversaturated, the region shows values of low saturation and high intensity. So this study proposes a method to be able to detect a traffic light under these conditions. After detecting a traffic light, it estimates the size of the body region including the traffic light and extracts the body region. The body region is compared with five models which represent specific traffic signals, then the region is discriminated as one of the five models or rejected as none of them. Experimental results show the performance of traffic light detection reporting the precision of 97.2%, the recall of 95.8%, and correct recognition rate of 94.3%. These results shows that the proposed method is effective.

• The Journal of Economics, Marketing and Management
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• v.8 no.2
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• pp.19-26
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• 2020

Purpose: The goal of this study is to comprehensively grasp the current status of ecommerce and to use as basic data for information-related policies. In this work, we understand recent ecommerce utilization, purchasing business by main factors, and look over the association between business type on sales orders (BTSO) and three variables: region, occupation and group type. Research design, data and methodology: The resource of this research is obtained by Ministry of Science and Technology Information and Communication in 2017, and investigated about 14,000 national business samples. Two statistical methods are used to analyze the association between the three variables: chi-square test and correspondence analysis. Results: The findings show that BTSO is pairwise associated with thee categorical variables, and the association between the categories of the two variables can be visually examined on two dimensional plane. Conclusions: This study suggests 'household & individual consumers' among BTSO are closely connected with 'Chungbuk' and 'Kyungnam' for region, 'others', 'finance & insurance' and 'association, repairing & other personal service' for occupation, and 'national & local government' for group type. Additionally, 'other companies' among BTSO are, particularly, related to 'Chunnam' for region, 'manufacturing industry' for occupation, and 'company corporations' for group type.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.5
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• pp.1174-1180
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• 2013

In recent years, there are many awareness and demand for digital convergence of the future. In information technology, especially, convergence with other studies such as regional studies, literature and humanities should be needed because information technology is closely related to real life. Culture atlas represents various aspects related to culture visually using points, arcs, and more in the map. Thus, it should be an available tool to survey cultures efficiently in digital environments. For oversea region study, especially Mediterranean region research, we suggest the way to apply electronic culture atlas in this paper. In detail, design and implementation a study on Electronic Culture Atlas for overseas area. Research results for oversea regional studies can be expressed visually by utilizing digital culture map implemented in this paper. Therefore, digital culture atlas should be used as convergence media between information technology and other studies such as regional studies, humanities and so on, tools for oversea regional studies, and exhibition of research results.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1252-1255
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• 2002

In this paper, face recognition algorithm, by using skin color information of HSI color coordinate collected from face images, elliptical mask, fratures of face including eyes, nose and mouth, and geometrical feature vectors of face and facial angles, is proposed. The proposed algorithm improved face region extraction efficacy by using HSI information relatively similar to human's visual system along with color tone information about skin colors of face, elliptical mask and intensity information. Moreover, it improved face recognition efficacy with using feature information of eyes, nose and mouth, and Θ1(ACRED), Θ2(AMRED) and Θ 3(ANRED), which are geometrical face angles of face. In the proposed algorithm, it enables exact face reading by using color tone information, elliptical mask, brightness information and structural characteristic angle together, not like using only brightness information in existing algorithm. Moreover, it uses structural related value of characteristics and certain vectors together for the recognition method.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.459-462
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• 2007

Long time ago, Korea region based on the agriculture society has been changed in terms of a variety of factors, differently a metropolis. Specially the region located nearby urban area generates a number of variations by the environmental, economic and social factors, these variations have appeared with the similar characteristics in other areas. On that score, if we classify variation factors by means of analyzing quantitative or assign the standards or weights to apply as a agent concept, will anticipate mote accurate information of the land-use ratio, squares related of agriculture region in the future. In this study, we estimated applicable possibilities and extract the variation factor between annual surveying images and real values which estimated local products, variation factors related of attributes through Landsat images of Korea for the 5 years.