• Journal of the Korean Home Economics Association
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• v.43 no.4 s.206
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• pp.17-30
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• 2005

The Purpose of this study was firstly to identify the living characteristics of apartment residents in relation to the behavioral patterns in the kitchen and utility space and secondly to present the basic material necessary for planning the kitchen and utility space of future desirable apartments with consideration for resident usage. The findings are summarized as follows : 1) Behavioral patterns in the kitchen and utility space were classified as personal life, family with harmony, talking with visitors, caring for children, cleaning, cooking, and keeping and connecting. 2) Behavioral patterns in He kitchen and utility space showed patterns on personal life, family with harmony, and talking with visitors and were used in the kitchen including the dining room. 3) As the required kitchen size and sink arrangement varied according to the kinds of furniture appliance, plan for the kitchen wok is very necessary.

• 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.

• The KIPS Transactions:PartB
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• v.13B no.5 s.108
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• pp.553-560
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• 2006

Speech recognition has recently been investigated to produce more reliable recognition results in a noisy environment, by integrating diverse sources of information into the result derivation-level or producing new results through post-processing the prior recognition results. In this paper we propose a method which uses the user's usage patterns and the context information in speech command recognition for personal mobile devices to improve the recognition accuracy in a noisy environment. Sequential usage (or speech) patterns prior to the current command spoken are used to adjust the base recognition results. For the context information, we use the relevance between the current function of the device in use and the spoken command. Our experiment results show that the proposed method achieves about 50% of error correction rate over the base recognition system. It demonstrates the feasibility of the proposed method.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.3
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• pp.231-241
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• 2019

Web Usage Mining (WUM) is one part of Web mining and also the application of data mining technique. Web mining technology is used to identify and analyze user's access patterns by using web server log data generated by web users when users access web site. So first of all, it is important that the data should be acquired in a reasonable way before applying data mining techniques to discover user access patterns from web log. The main task of data acquisition is to efficiently obtain users' detailed click behavior in the process of users' visiting Web site. This paper mainly focuses on data acquisition stage before the first stage of web usage mining data process with activities like data acquisition strategy and field extraction algorithm. Field extraction algorithm performs the process of separating fields from the single line of the log files, and they are also well used in practical application for a large amount of user data.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.23-30
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• 2022

This study is an exploratory study to examine the relation between parents and children's smartphone usage time. The data from the 11th Korea Media Panel Survey conducted by the Korea Information Society Development Institute was used for empirical analysis. The findings revealed that parents' smartphone usage time and children's smartphone usage time are positively correlated, indicating that their smartphone use patterns share similarities as members of a family system. This study lays the foundation for future work to explain individual media use through family and media use environment.

• Genomics & Informatics
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• v.20 no.4
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• pp.43.1-43.18
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• 2022

Atropa belladonna is a valuable medicinal plant and a commercial source of tropane alkaloids, which are frequently utilized in therapeutic practice. In this study, bioinformatic methodologies were used to examine the pattern of coding sequences and the factors that might influence codon usage bias in the chloroplast genome of Atropa belladonna and other nightshade genomes. The chloroplast engineering being a promising field in modern biotechnology, the characterization of chloroplast genome is very important. The results revealed that the chloroplast genomes of Nicotiana tabacum, Solanum lycopersicum, Capsicum frutescens, Datura stramonium, Lyciumbarbarum, Solanum melongena, and Solanum tuberosum exhibited comparable codon usage patterns. In these chloroplast genomes, we observed a weak codon usage bias. According to the correspondence analysis, the genesis of the codon use bias in these chloroplast genes might be explained by natural selection, directed mutational pressure, and other factors. GC12 and GC3S were shown to have no meaningful relationship. Further research revealed that natural selection primarily shaped the codon usage in A. belladonna and other nightshade genomes for translational efficiency. The sequencing properties of these chloroplast genomes were also investigated by investing the occurrences of palindromes and inverted repeats, which would be useful for future research on medicinal plants.

• Journal of Information Technology Services
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• v.6 no.3
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• pp.179-193
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• 2007

Mobile Internet Service has been accelerated in ubiquitous computing environment. The purpose of this study is to suggest the patterns of mobile internet services based upon the current and future environments. The types of mobile internet service are explicated on the basis of current and future usage. A two-dimensional framework using level of timeliness and service purpose is utilized for classifying mobile internet service. Future trends of mobile internet service are carefully suggested.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.2
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• pp.66-76
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• 2011

The Sightseeing ITS is defined as a system that gives tourists and inhabitants the information concerned with road network conditions, parking, sightseeing spots, and travel time in the relevant area. When focusing on tourists' excursion behaviors in sightseeing areas, however, it is sometimes found that they feel much annoyed with insufficient information about the area. While they also have a variety of needs to get information and make a decision about their excursions, it becomes one of important subjects to understand the actual circumstances of their information usage and to identify the causal relationship between their excursion patterns and the obtained information. This paper aims to investigate basic issues toward development of Sightseeing ITS and to modify an analytical model of tourist's excursion behavior considering information usage at Fuji five lakes Area, which is a representative sightseeing place in Japan. The relationship was analyzed using a structural equation model: information usage at the scheduling stage has an impact on tourists' individual cognition of the sightseeing area, tourists' individual cognition affects information usage at the excursion stage, and information usage at the excursion stage affects behavior during excursions. It is found that tourists' decision making behaviors on their excursion tend to depend on the information usage. This implies essential results to construct effective and customer oriented ITS.

• Journal of Information Management
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• v.28 no.2
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• pp.54-70
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• 1997

The author describes document delivery services and document usage patterns of domestic users based on usage statistical data about photocopying service of KINITI that the most important document delivery organization in Korea. And investigated ordering procedures of users, number of document processed and rejected in photocopying service, and delivery methods for users and so on. In FY 1996, number of document in photocopying service increased 2.4 percent in proportion to previous year.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.148-150
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• 2001

발견된 Web Usage 패턴들은 분석하는 전문가에게는 불필요하고 흥미롭지 못해 의사결정에 도움이 못되는 경우가 많다. 따라서 발견된 패턴에 대한 도메인 전문가의 사전 Belief에 기반한 패턴 검증 과정이 필요하다. 발견된 패턴의 유용성 여부는 패턴의 Unexpectedness를 측정함으로써 결정할 수 있다. 본 논문에서는 패턴의 Unexpectedness를 전문가의 Belief에 기반하여 검증하기 위한 새로운 방법론 제안한다. 발견된 패턴과 전문가 Belief를 매칭 알고리즘을 이용하여 패턴을 4가지(완전일치, 조건부 일치, 결과부 일치, 완전 불일치)로 분류하는 1차 검증과 1차 검증 결과의 4가지 분류데이터를 통계적 추론 방법인 Dempster-chafer에 적용한 2차 검증으로 나뉜다. 1차 검증 과정은 패턴의 분류 용이성을 부여하나 패턴의 Unexpectedness에 대한 신뢰성을 제공하지 못한다. 이 문제점을 2차 검증 과정을 통해 해결한다.