• 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 Korean Society of Clothing and Textiles
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• v.42 no.4
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• pp.689-707
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• 2018

This study reviewed the differences among Onggis made in Jeju and other areas, developed creative textile designs and cultural products, and conducted the consumer evaluation of developed products. First, the 1,063 photos of Onggis made before the first part of the 20th century were collected and the unique differences of Jeju Onggis were confirmed through the observation of collected photos. Second, based on the uniqueness of Jeju Onggis, the eight pieces of Jeju Onggis were selected from the photos and used as pattern design motifs. Nine basic patterns were drawn and ten textile designs were created using the basic patterns. Third, the 16 pieces of textile products were made with cotton fabrics on which the textile designs were printed. Four mugs and four tumblers with printed patterns were also made. Finally, 64 students evaluated the developed products using a 7-point scale. As a result, folksy atmosphere, uniqueness, usage as a Jeju souvenir and at local restaurants, and the role of fostering concern for Jeju Onggi were highly evaluated but aesthetics was rated relatively low. Most of the developed products were highly preferred and recommended as Jeju souvenirs or for local restaurants.

• Journal of the Korea Computer Industry Society
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• v.4 no.10
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• pp.621-630
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• 2003

Web logs are the information recorded by a web server when users access the web sites, and due to a speedy rising of internet usage, the worth of their practical use has become increasingly important. Analyzing such logs can use to determine the patterns representing users' navigational behavior in a Web site and restructure a Web site to create a more effective organizational presence. For these applications, the generally used key methods in many studies are association rules and sequential patterns based by Apriori algorithms, which are widely used to extract correlation among patterns. But Apriori inhere inefficiency in computing cost when applied to large databases. In this paper, we develop a new algorithm for mining interesting patterns which is faster than Apriori algorithm and recommendation agents which could provide a system manager with valuable information that are accessed sequentially by many users.

• Journal of the Korean Home Economics Association
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• v.32 no.2
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• pp.219-230
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• 1994

The purpose of this comparative research is to investigate the change of the drafting method of the basic patterns for women in Korea. Followings were the findings of this research: 1) The concept of the basic pattern could be found after the first of the 1950s and there was introduction of the many basic patterns. At first measurement couldn't be found. Gradually the personal body type could be expressed in the basic pattern through the practical measurements such as the width of highest bust level and the length of neck to bust. 2) Through the ages the changes of the basic patterns were between 1950,60s and 1980,90s distinctively at the back width back shoulder angle front and back shoulder height from biceps line back neck ratio(height/width) BP position at the biceps line the amounts of underarm dart underarm dart position from the biceps lines and front ease angle at BP line. 3) 4 Grouping the types of the basic pattern followings are their characters; 1st Munwha or Doreme style 2nd waist dart group 3rd underarm dart and rectangular front ease 4th the usage of many measurements like as front length upper bust girth etc.

• Journal of Information Technology Services
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• v.16 no.1
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• pp.73-82
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• 2017

Recently in-memory data stream processing has been actively applied to various subjects such as query processing, OLAP, data mining, i.e., frequent item sets, association rules, clustering. However, finding regular periodic patterns of events in an infinite data stream gets less attention. Most researches about finding periods use autocorrelation functions to find certain changes in periodic patterns, not period itself. And they usually find periodic patterns in time-series databases, not in data streams. Literally a period means the length or era of time that some phenomenon recur in a certain time interval. However in real applications a data set indeed evolves with tiny differences as time elapses. This kind of a period is called as a pseudo-period. This paper proposes a new scheme called FPMH (Finding Periods using Multiple Hash functions) algorithm to find such a set of pseudo-periods over a data stream based on multiple hash functions. According to the type of pseudo period, this paper categorizes FPMH into three, FPMH-E, FPMH-PC, FPMH-PP. To maximize the performance of the algorithm in the data stream environment and to keep most recent periodic patterns in memory, we applied decay mechanism to FPMH algorithms. FPMH algorithm minimizes the usage of memory as well as processing time with acceptable accuracy.

• International Journal of High-Rise Buildings
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• v.11 no.2
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• pp.115-124
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• 2022

Welding is a significant part of the construction industry. Since most high-rise building construction structures rely on a robust metal frame welded together, welding defect can damage welded structures and is critical to safety and quality. Despite its importance and heavy usage in construction, the labor shortage of welders has been a continuous challenge to the construction industry. To deal with the labor shortage, the ultimate goal of this study is to design and develop an automated robotic welding system composed of a welding machine, unmanned ground vehicle (UGV), robotic arm, and visual sensors. This paper proposes and focuses on automated weaving using the robotic arm. For automated welding operation, a microcontroller is used to control the switch and is added to a welding torch by physically modifying the hardware. Varying weave patterns are mathematically programmed. The automated weaving is tested using a brush pen and a ballpoint pen to clearly see the patterns and detect any changes in vertical forces by the arm during weaving. The results show that the weave patterns have sufficiently high consistency and precision to be used in the actual welding. Lastly, actual welding was performed, and the results are presented.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1001-1009
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• 2015

In Smart Grid, smart meter sends our electric signal data to the main server of power supply in real-time. However, the more efficient the management of power loads become, the more likely the user's pattern of usage leaks. This paper points out the threat of privacy and the need of security measures in smart device environment by showing that it's possible to identify the appliances and the specific usage patterns of users from the smart meter's data. Learning algorithm PCA is used to reduce the dimension of the feature space and k-NN Classifier to infer appliances and states of them. Accuracy is validated with 10-fold Cross Validation.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.6
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• pp.907-917
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• 2000

Although interest in the potential and actual usage of the Internet as a transaction medium is increasing, the market for fashion merchandise on the Internet in Korea has yet to take off. As the Internet environment is expected to bring about a transformation of conventional consumer buying behavior, the purpose of this exploratory research is to investigate the buying behavior of fashion products on the Internet to identify relevant concepts and generate hypotheses for further empirical research. The research methods selected for the study were observation and in-depth interview. Twelve subjects who had purchased fashion products on the Internet were selected and interviewed. Those who could not participate in face-to-face in-depth interviews because of the geographic locations were interviewed on-line. The results are as follows: First, subjects went through the stages of shopping motivation stage, site choice behavior stage, in-site behavior stage, and postpurchase behavior stage. Second, a model was extracted for each shopping stage, and a final model was completed based on comparisons with the participants processes. The information content of each phase was discussed. Finally, each participant was classified using their purchasing process, revealing six possible mixed usage patterns of the Internet marketing system and the traditional marketing system.

• 한국태양에너지학회:학술대회논문집
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• 2009.04a
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• pp.121-126
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• 2009

This study analyzed the standard school's energy usage and patterns as the zero-energy goal of primary school building, and proposed the energy reduction process of school building using energy analysis computing simulation tool. As a analysis simulation tool, Visual DOE 4.0 is used. For analysis of actual energy usage, selected primary school that is standard in the nation's energy consumption. Standard of the school's energy consumption analysis were devided into electric and gas energy. Input parameters of the simulation program based on the literature material and field survey material. after, but it was calibrated to comparison with the standard school's energy consumption. Finally, its energy usage analyzed by component and made the priority order of energy saving. Applied energy saving technologies are envelopment insulation, high efficiency lighting, high performance HAVC system and used active equipment system of solar collector and photovoltaic generation for additional savings.

• Korean journal of food and cookery science
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• v.18 no.2
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• pp.136-146
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• 2002

This study was performed to find out the patterns of health food usage among the adults residing in Seoul. The majority of respondents were female (72.2%), who were 40∼49 years old (42.2%), and 53.4% had college education or over. Of the 618 respondents surveyed, more than half (56.3%) was found to take health food. The respondents responded that the most important factors for maintaining healthy body were proper eating habit (4.38 out of 5), and good rest and enough sleep (4.38). Depending on the general characteristics and the age of the subject, there were significant differences in the usage and the kind of health food, respectively Probiotic beverage was the most frequently used by the age group of 20's due to its affordable price. The most popular health food items were ginseng, herbal medicine, and animal protein. The main reasons for taking health food were to maintain health (49.7%) and to recover from the fatigue (22.6%). When selecting health food, they considered side effect, effectiveness, cleanliness, reliability of company and price. The motivation for purchasing health food came from family members and relatives (45%), subjects themselves (27%), and commercial advertisement (10%). Pharmacy and health food store were the popular places for purchasing them.