• Journal of Society of Preventive Korean Medicine
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• v.20 no.1
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• pp.19-28
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• 2016

Objectives : This study is to research on usage patterns, recognition of system to Korean medicine among high school students who are the potential future medical consumer. Methods : Based on the questionnaire used by KIHASA(Korea Institute for Health and Social Affairs) in 2011 and KHIDI(Korea Health Industry Development Institute) in 2014, modifications were made to make questionnaire more suitable for this research. This self-administered questionnaire was conducted among 1,025 highschool students of 3 high schools in Ulsan city on september, 2015. Except 19 cases which considered statistically insignificant or with unreliable responses, 1,007 cases were analyzed by p-paired test and ANOVA test through the SPSS 22.0 for Win program. Results : Most of the high school students(66.5%) do not have an experience on Korean medical care. The number of students' first experience on Korean medical care is the largest during their elementary school (34.9%), which means the treatment was mostly for restorative reasons like growth care. The later the time of their first experience on Korean medical care, the higher ratio was shown on their recent utilization of Korean medical care. Korean medicine was rarely covered in most cases of public health education at school, and this public health education and usage pattern on Korean medicine have positive correlation. Compared 'Group who have used Korean medical care in 1 years except recent 3 months' to the 'Group who have used Korean medical care in 3 recent months', the former showed higher recognition in Korean medical care and insurance system. Conclusions : The proportion of Korean medicine is as low as 4.5% to whole medical market, and most of the consumers are senior. In addition, the aging phenomenon of Korean medical consumer have been continued. This specialized study on usage patterns and recognition among youth can be the basic research data which can be used for promotion, education and establishment of health policy and health care system.

• Journal of the Korean Data and Information Science Society
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• v.26 no.4
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• pp.875-883
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• 2015

The purpose of this study was to examine the differences by gender in influence recognition, usage, convenience and preference on purchase intention for traditional Korean rice cake. For this study, the effect of the gender-based consumption patterns-degree of recognition, usage, convenience, and preference towards the traditional Korean rice cake-on purchasing intention was investigated among the university students in Busan area. Of the entire students, 47.5% were male and 52.5% female; 51.0% had less than \5,000,000 and 49.0% had \5,000,000 or more in household income level per month; and 46.0% live with parent(s) whereas 54.0% by themselves. The findings showed that consumption patterns lie between 4.0 and 6.0 in Likert-type 7-point scale. It showed differences by gender in all of the degree of recognition, usage, convenience, and preference.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1154-1164
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• 2010

As an useful application in broadcasting services, the targeting service has been mainly studied to improve the service satisfaction and user usage in various media service environments based on user profile, preferences, and usage history. Targeting service is expanding its domain from broadcasting contents to interstitial contents and from fixed TV devices to mobile devices. Service data also include advertisement data, coupon, and information about media contents as well as simple broadcasting data. In this paper, the targeting data service is designed and implemented on articles, advertisement and broadcasting information on the basis of the user information. To adapt this to web-based media contents, information on user profile, preferences, and usage history is newly defined on the basis of the user metadata developed in TV-Anytime Forum and the user information defined in OpenSocial. The targeting data service is implemented to generate user preferences information and usage history pattern based on the similarity among user preference, contents information, and usage history. Based on performance evaluation, we prove that the proposed targeting data service is effectively applicable to web-based media contents as well as broadcasting service.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.143-153
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• 2014

The purpose of this study is to investigate the effect of factors related to consumer lifestyle and media usage on the adoption of Nscreen service, which is fundamentally changing both the competitive landscape for business and the daily lives of consumers. The data of 8,524 consumers used in this study were drawn from the first Korea Media Panel Study in 2012 of Korea Information Society Development Institute and the characteristics of adopters and non-adopters were compared. The study also aims to explore the usage pattern of Nscreen as well as antecedent variables that affect the innovative service usage. Logistic regression analysis shows various factors affects the acceptance of this innovation. This is only a first step in the important process of understanding the nature of relationship between consumer lifestyle and the adoption of Nscreen service. Gaining a comprehensive understanding of the drivers of Nscreen usage will help engineers and marketers to develop effective strategies that meet consumer needs for innovative services.

• The Korean Journal of Food And Nutrition
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• v.25 no.2
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• pp.299-307
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• 2012

In this study, Kimchi usage was examined by nationwide consumers. 1,000 consumers between 20~60 years olds from 15 cities/province based on an administrative district participated in this questionnaire, which were one-on one interviews from September 23th to October 14th, 2009. 76.1% of the customers prepared Kimchi by them self, 26.9% customers received Kimchi from relatives and, 13.1% purchase Kimchi from the market. In addition, the rate of preparing Kimchi by themselves increased with age(p<0.05). 4~6 cabbage heads(34.5%) was the most preferred quantity for preparing Kimchi at a time, which was followed by more than 10 heads(25.2%) and 2~3 heads(22.9%). Chinese cabbage Kimchi was the most preferred type for purchase. 49.1% of customers purchased Kimchi at the supermarket and warehouse market and the origin of the ingredients, taste and-, price of Kimchi were considered important factors. The satisfactory scores of selling Kimchi were variety 3.60, taste 3.11, freshness of main ingredient 3.10, hygiene 2.86, -appropriate salt usage 2.99 and-, the origin of ingredients 2.94. There were significant difference between gender in taste and hygiene of selling Kimchi (p<0.05). In conclusion, to provide more appropriate Kimchi based on changes in Kimchi usage and consumption patterns at home and in the community, new types of Kimchi should be developed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.4
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• pp.97-110
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• 2004

As modem web services become enormously complex, web attacks has become frequent and serious. Existing security solutions such as firewalls or signature-based intrusion detection systems are generally inadequate in securing web services, and analysis of raw web log data is simply impractical for most organizations. Visual display of "interpreted" web logs, with emphasis on anomalous web requests, is essential for an organization to efficiently track web usage patterns and detect possible web attacks. In this paper, we discuss various issues related to effective real-time visualization of web usage patterns and anomalies. We implemented a software tool named SAD (session anomaly detection) Viewer to satisfy such need and conducted an empirical study in which anomalous web traffics such as Misuse attacks, DoS attacks, Code-Red worms and Whisker scans were injected. Our study confirms that SAD Viewer is useful in assisting web security engineers to monitor web usage patterns in general and anomalous web sessions in particular.articular.

• The KIPS Transactions:PartA
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• v.12A no.3 s.93
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• pp.223-228
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• 2005

Several researchers have pointed out that the energy consumption in memory takes a dominant fraction on the energy budget of a whole embedded system. This applies to the embedded Java virtual machine tn, and to develop a more energy-efficient JVM it is absolutely necessary to optimize the energy usage in Jana memory. In this paper we have analyzed the logical memory access pattern in JVM as it executes numerous number of bytecode instructions while running a Java program. The access pattern gives us an insight how to design and select a suitable memory technology for Java memory. We present the memory access pattern for the three logical data spaces of JVM: heap, operand stack, and local variable array. The result saws that operand stack is accessed most frequently and uniformly, whereas heap used least frequently and non-uniformly among the three. Both heap and local variable array are accessed mostly in read-only fashion, but no remarkable difference is found between read and write operations for operand stack usage.

• Journal of the Korean Society of Costume
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• v.62 no.4
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• pp.91-106
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• 2012

The purpose of this study was to offer some directions for the design of men's knitwear and provide basic data helpful for design conception and product development for creative and unique men's knitwear. As for the methodology, the investigator examined the works of these following ten designers that consistently participated in the men's Milano Collection for the last ten years from 2001 S/S to 2010 F/W: Burberry Prorsum, Costume National, D & G, D squared, Dolce & Gabbana, Giorgio Armani, Gucci, Iceberg, Prada, and Vivien Westwood. We identified the design elements expressed in knitwear, categorized examples for each element, and reviewed their characteristics. The results of this study are as follows. The designers usually adopted the H-silhouette with some room until 2006, after which the slim tubular silhouette became prevalent. Most of the designers made knitwear with normal yarn and expressed them by dyeing or printing regardless of seasons, which meant the usage level of fancy yarn was low. The much usage of the basic pattern was particularly salient. The most popular basic structure was plain, which was followed by rib and color pattern, which included the jacquard and intarsia pattern. The designers presented thick outer items made of thick yarn for F/W seasons and many thin inner items made of thin yarn for S/S seasons. The popular colors were brown from the Red Group(R) and beige from the Orange Group (YR) regardless of seasons. When achromatic colors were used a lot, there was a development of various grey shades. For the most used basic structure, plain, the designers employed such technical methods as printing, pleat treatment, and dyeing in high frequency.

• Journal of the Korean Society for information Management
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• v.36 no.1
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• pp.295-313
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• 2019

The purpose of this study is to analyze library space use patterns through users' smartphone WiFi. This study is applied a method to detect WiFi signal of users' smartphone to analyze the in-library wayfinding of users. The library usage data were collected for four months in a library in Seoul, Korea. The results show that the average 37.9% of library users revisits the library the next month. Half of users stay under 7 minutes in the library. Users mainly visit the library between 2 and 3 o'clock, and few users visit the library after 5 pm on weekends. The floor moving pattern result shows that the co-visit rate between the third and fourth floor is higher than others, in that these two floors are mainly composed of book shelves. These results indicate that the method to detect the WiFi signal for spatial pattern analysis could be more effective than observation which was used in previous research. It, therefore, is expected that this method would be applied in other libraries to analyze and enhance the library space usage.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.4
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• pp.87-92
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• 2019

This paper describes the pattern analysis for data of the factory energy consumption by using machine learning method. While usual statistical methods or approaches require specific equations to represent the physical characteristics of the plant, machine learning based approach uses historical data and calculate the result effectively. Although rule-based approach calculates energy usage with the physical equations, it is hard to identify the exact equations that represent the factory's characteristics and hidden variables affecting the results. Whereas the machine learning approach is relatively useful to find the relations quickly between the data. The factory has several components directly affecting to the electricity consumption which are machines, light, computers and indoor systems like HVAC (heating, ventilation and air conditioning). The energy loads from those components are generated in real-time and these data can be shown in time-series. The various sensors were installed in the factory to construct the database by collecting the energy usage data from the components. After preliminary statistical analysis for data mining, time-series clustering techniques are applied to extract the energy load pattern. This research can attributes to develop Factory Energy Management System (FEMS).