• Journal of Information Management
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• v.30 no.4
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• pp.27-38
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• 1999

Information storage and it's usual patterns are digitised within the changes of the social environment to the information center from the library. In this aspect, it examines to use for digital information and a concept of copyright. And it reviews a role as information specialist in the digital era.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.2
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• pp.23-32
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• 2013

The purpose of this study is to make effective mobile grid considered general environment, which can be summarized as irregular mobility, service exploration, data sharing, variety of machines, limit to the battery duration, etc. The data was extracted from the Dartmouth College. We analysed mobile use pattern of a specific group and applied pattern using hybrid method. As a result, we could adjust infra usage effectively and appropriately and cost cutting and increase satisfaction of user. In this study, by applying weighting method based on access time interval, we analysed use pattern added time variation with association rule during users in mobile grid environment. We proposed more stable way to manage patterns in a mobile grid environment that is being used as a hybrid form to process the data value received from the server in real time. Further studies are needed to get appropriate use pattern by group using use patterns of various groups.

• Journal of Nutrition and Health
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• v.41 no.8
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• pp.860-869
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• 2008

The purposes of this study were to investigate use patterns of nutrition information service of 50-and-older adults and analyze the differences in use patterns of nutrition information service according to their socio-demographic variables. The survey was conducted with 500 adults aged 50-and-over living in Seoul between March 28 and April 10, 2007. A total of 401 questionnaires were used for analysis (use rate 80.2%) and the statistical data analyses were completed using SPSS Win (ver 12.0). The main results of this study were as follows. First, most respondents (73.3%) realized the need for nutrition counseling or education. However, 65.3% of respondents have little experience in nutrition counseling or education. Second, the most preferred methods of nutrition counseling or education were field trips (27.7%), counseling in hospitals/public health centers (23.4%), cooking classes (23.2%). And the most often cited sources of nutrition information were TV/radio (66.6%) and newspapers/magazines/books (41.6%). Third, sociodemographic variables such as sex, age, education level, occupations were significantly related to methods of nutrition counseling or education. And variables such as age, education level, occupations were significantly related to often cited sources of nutrition information. Also sex, age, education level, occupations were significantly related to needs for nutrirtion information service.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.3
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• pp.20-30
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• 2000

Average annual NDVI values from the NOAA/NASA Pathfinder AVHRR Land Data Sets from 1982 to 1994 showed comprehensive systematic displacement patterns in Asia. Inter-annual growing season data, however, did not show such systematic patterns. The most likely cause for the abrupt displacements, which appear especially in 1982, 1989 and 1990, may be changes in satellite sensors, although global warming, El Ni$\tilde{n}$o-Southern Oscillation events, changes in processing algorithms, and changes in land-use patterns in various parts of Asia may also play some role. The results suggest that researchers must be extremely careful in their inter-annual global change research, since direct use of the raw data could cause unexpected results. Growing-season NDVI shows decreases throughout most of Southeast Asia and modest gains in northern China and some parts in India, which could be related to land-use and land-cover changes.

• Journal of Environmental Health Sciences
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• v.44 no.3
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• pp.275-282
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• 2018

Objective: Since certain chemicals are widely applied in a variety of consumer products, exposure via simultaneous use of multiple consumer products can put human health at risk. For this reason, use patterns of consumer products are an important factor inhuman health risk assessment. The aim of this study is to investigate co-use patterns of air-fresheners and deodorizers in Korea in order to estimate potential cumulative exposure. Methods: To collect the information on use patterns of air-fresheners and deodorizers, ten air-fresheners and 14 deodorizers were selected. A total of 3,000 participants were recruited and asked through on line questionnaires whether they had simultaneously used the selected air-fresheners and deodorant products in their daily lives. Results: Among the 3,000 participants, 45.6% had used more than two air fresheners and 46.3% used more than two deodorizers. The most common types of air fresheners used concurrently include liquid and candle types for indoor environments, while those of deodorizers were fabric trigger sprays and refrigerator gels. In addition, 73.7% used more than two products without product categories. Fabric trigger sprays were contained in all of the high-ranking product combinations. Conclusions: This study showed that many consumers concurrently used air-fresheners and deodorizers in their daily routines. For accurate exposure assessment, co-use patterns of consumer products should be further investigated.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.255-267
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• 2011

The aim of this study is to utilize system trading for making investment decisions and use technical analysis and Dynamic Time Warping (DTW) to determine similar patterns in the frequency of stock data and ascertain the optimal timing for trade. The study will examine some of the most common patterns in the futures market and use DTW in terms of their frequency (10, 30, 60 minutes, and daily) to discover similar patterns. The recognized similar patterns were verified by executing trade simulation after applying specific strategies to the technical indicators. The most profitable strategies among the set of strategies applied to common patterns were again applied to the similar patterns and the results from DTW pattern recognition were examined. The outcome produced useful information on determining the optimal timing for trade by using DTW pattern recognition through system trading, and by applying distinct strategies depending on data frequency.

• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.371-373
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• 2001

In this paper, we present 2-step load cycle for daily load curve of up to and including 100kVA distribution transformer in domestic. Daily load patterns are classified by two methods dependent upon possession information. In case we possess daily load profiles make use of K-mean algorithm and in case we have not daily load profiles, make use of customer information of KEPCO. As the parameters of the load pattern classification, we use are daily load profiles and customer information of each distribution transformers. Data management system is used for NT oracle. We can present peak load magnitude, initial load magnitude and peak load duration for daily load patterns by 2-step load cycle for daily load curve of up to and including 100kVA distribution transformer in domestic. We think that this paper contributes to enhancing the distribution transformer overload criterion.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.470-472
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• 2003

The primary goal in this paper is to analyze urban growth patterns using multi-temporal remote sensing images and geographic information data. In order to accomplish this purpose, firstly data pre-processing is carried out, and then land-use maps are generated with ancillary data source by heads-up on-screen digitizing. Lastly, using the results of the previous stages, the patterns of land-use and urban changes are monitored by the proposed scheme. In this research, using the multi-temporal images and geographic information data, monitoring of urban growth was carried out with the application of urban land-use changes.

• Journal of the Korea Society of Computer and Information
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• v.23 no.3
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• pp.101-106
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• 2018

The purpose of this study is to analyze the patterns of unconsciousness smartphone use by using an app and a self-administered survey on smartphone addiction comparatively and examine differences between recognition and behavior about actual smartphone use and examine how smartphone addiction influences learning. With an app installed in smartphones, this author collected and analyzed data about users' unconsciousness using patterns for a month. According to the results, there were significant differences found in users' recognition and actual time for use and also frequency of turning on the display. Also, 22% of the subjects used their smartphone over 8 hours a day, and 76% more than 5 hours. Over 95% turned on the display more than 100 times a day, and in extreme cases, they did more than 300 times. In the meantime, users not only in the smartphone addiction high risk group and the potential risk group but also in the general user group are found to use their smartphone too long and too much and frequently turn on the display. The apps that the general user group is mainly using are entertaining apps, and their school records are rather good, so excessive use does not always lead to addiction or learning disorder. Therefore, if we develop more diverse contents for learning and provide digital literacy education, smartphone use will bring more positive effects instead. In follow-up research, the app should be corrected to collect more accurate information, and as variables in personal areas, this researcher will also measure depression, anxiety, stress, self-esteem, and emotional control, and so on to see how they are associated with smartphone use.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.11
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• pp.1393-1404
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• 1995

For the factory automation(FA) of production or assembly lines, computer vision techniques have been widely used for the recognition and position-control of objects. In this application, it is very important to analyze characteristic features of each object and to find an efficient matching algorithm using the selected features. If the object has regular or homogeneous patterns, the problem is relatively simple. However, If the object is shifted or rotated, and if the depth of the input visual system is not fixed, the problem becomes very complicated. Also, in order to understand and recognize objects with concentric noise patterns, it is more effective to use feature-information represented in polar coordinates than in cartesian coordinates. In this paper, an algorithm for the recognition of objects with concentric circular noise-patterns is proposed. And position-conrtol information is calculated with the matching result. First, a filtering algorithm for eliminating concentric noise patterns is proposed to obtain concentric-feature patterns. Then a shift, rotation and scale invariant alogrithm is proposed for the recognition and position-control of objects uusing invariant feature information. Experimental results indicate the effectiveness of the proposed alogrithm.