• Korean Journal of Organic Agriculture
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• v.18 no.3
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• pp.315-329
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• 2010

This study focused on analysis of the satisfaction level of specialty shops for environment-friendly agricultural products (EFAP). To analyze the satisfaction level of EF AP, a series of household surveys were conducted. Questionnaire was prepared on the basis of the SERVQUAL model and the structural equation modeling was made on the basis of the contents surveyed. The main results of this study are summarized as follows. Firstly, tangibles structured with store clearance, neat uniform, information and others is the factor of service quality satisfaction. Secondly, reliability structured with service practice, problem solving, and service in accurate time is the factor of service quality satisfaction. Thirdly, assurance structured with the reliability of employees, sufficient knowledge of employees, courteous and good manner is the factor of service quality satisfaction. Fourthly, responsiveness structured with prompt service, voluntary help, customer response service and the like is the factor of service quality satisfaction. Fifthly, the sympathy structured in interest for each customer, provision of service in time convenient to use, encountering the customers with genuine feeling are the factors of service quality satisfaction. And sixthly, the service satisfaction factors would influence on the consumer behavior factors.

• Journal of the Korean housing association
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• v.15 no.3
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• pp.83-91
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• 2004

In a planning stage, the assessment system is required to select the proper alternative, reflected the environmental affects such as energy, $CO_2$ and $SO_x$. Unit of energy consumption, $CO_2$ emission and $SO_x$ emission among various assessment systems could be effectively utilized to select the better alternative among various building types. But researches for these areas has not been conducted systematically, but limitedly and sporadically. In this paper, it aimed at providing the unit of energy consumption, $CO_2$ emission and $SO_x$ emission to evaluate the environmental affects between the steel-structured apartment building and wall-typed apartment building. For this, the input-output analysis could be utilized in the construction stage with two-type apartment housing. This approach can be utilized to compare the various alternatives in aspect of the energy consumption and the environment affect, and to select the relatively better alternative. This study found that the unit of energy, $CO_2$ and $SO_x$ of the steel-structured apartment building is lower than that of the wall-typed building

• Korean Journal of Human Ecology
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• v.21 no.5
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• pp.929-945
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• 2012

This study examined structured social network types and their relationship to quality on life satisfaction of older adults. Respondents were 418 adults aged 60 or older living alone or as couples. The data was analyzed using K-means cluster analysis. Four networks types were identified: diverse, friend-neighbor focused, family focused, and restricted. Life satisfaction was highest for individuals in the diverse network group and lowest for individuals in the restricted network group. Stepwise multiple regression analysis indicated that life satisfaction of the elderly was affected by the diverse network, family focused network, the relationship quality with children, the relationship quality with neighbors, and the relationship quality with relatives. Results suggested that having diverse social network in close proximity is very important in old age and structural network types may have important practical implications for improving the quality of life among the elderly.

• Journal of The Korean Digital Architecture Interior Association
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• v.2 no.1
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• pp.24-31
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• 2002

The purpose of this study was to analyze the transition on architectural data such as valid indoor length, module, ratio of core, floor height, ceiling height and the type of structured cabling system according to the intelligent building grade through case study of the intelligent office buildings constructed in Korea since 1980. The results of this study were as follows. The average floor height was 3.80m, and it was higher in proportion to the IB grade. The average ceiling height was 2.57m, and it didn't have connection with the IB grade. The module of high frequency in application was $3.0{\times}3.0m$, and it showed 25% in the application frequency. The average valid indoor length was 12.27m. The average ratio of core was 24.49%. The type of high frequency in application for the structured cabling was Access Floor Type, and it showed 31% in the application frequency.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.1-15
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• 2019

One of the biggest difficulties in the vocational training field is the dropout problem. A large number of students drop out during the training process, which hampers the waste of the state budget and the improvement of the youth employment rate. Previous studies have mainly analyzed the cause of dropouts. The purpose of this study is to propose a machine learning based model that predicts dropout in advance by using various information of learners. In particular, this study aimed to improve the accuracy of the prediction model by taking into consideration not only structured data but also unstructured data. Analysis of unstructured data was performed using Word2vec and Convolutional Neural Network(CNN), which are the most popular text analysis technologies. We could find that application of the proposed model to the actual data of a domestic vocational training institute improved the prediction accuracy by up to 20%. In addition, the support vector machine-based prediction model using both structured and unstructured data showed high prediction accuracy of the latter half of 90%.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.13-24
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• 2018

For government and public institutions, civil complaints containing direct requirements of citizens can be utilized as important data in developing policies. However, it is difficult to draw accurate requirements using text mining methods since the nature of the complaint text is unstructured. In this study, a new method is proposed that draws the exact requirements of citizens, improving the previous text mining in analyzing the data of civil complaints. The new text-mining method is based on the principle of Co-Occurrences Structure Map, and it is structured by two-step association analysis, so that it consists of the first-order related word and a second-order related word based on the core subject word. For the analysis, 3,004 cases posted on the electronic bulletin board of Busan City for the year 2016 are used. This study's academic contribution suggests a method deriving the requirements of citizens from the civil affairs data. As a practical contribution, it also enables policy development using civil service data.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.2
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• pp.73-79
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• 2018

The purpose of this study is to explore how small and medium enterprises in India has identified the opportunities and challenges in adopting the Web 3.0 technologies to improve their productivity and efficiency. After an in-depth literature review, researchers framed a semi-structured questionnaire with open-ended questions for collecting responses from managers working in 40 Indian SME's representing five key economic sectors. The collected data was analyzed, and themes were encoded using the NVivo 11 computer-assisted qualitative data analysis software. Content analysis was used to analyze the data collected with the semi-structured interviews. This study identified five key themes and 12 subthemes illustrating the key advantages and challenges as perceived by the managerial leadership of SMEs. The five key themes identified in this study include integration of data and services, the creation of new functionalities, privacy and security, financial and technological challenges, and organizational challenges. The results of this study will benefit the organizational leadership of SMEs in planning and developing their short-term and long-term information systems strategies and will enable SME leaders to make optimal use of their information technology assets, improving the productivity and competitiveness of the firms. Web 3.0 technologies are considered as emerging technologies, so the advantages and challenges of using these technologies for SMEs have not been explored in the context of emerging economies, such as India.

• Genomics & Informatics
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• v.16 no.4
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• pp.38.1-38.3
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• 2018

Gene-gene interaction (GGI) analysis is known to play an important role in explaining missing heritability. Many previous studies have already proposed software to analyze GGI, but most methods focus on a binary phenotype in a case-control design. In this study, we developed "Hierarchical structural CoMponent analysis of Gene-Gene Interactions" (HisCoM-GGI) software for GGI analysis with a continuous phenotype. The HisCoM-GGI method considers hierarchical structural relationships between genes and single nucleotide polymorphisms (SNPs), enabling both gene-level and SNP-level interaction analysis in a single model. Furthermore, this software accepts various types of genomic data and supports data management and multithreading to improve the efficiency of genome-wide association study data analysis. We expect that HisCoM-GGI software will provide advanced accessibility to researchers in genetic interaction studies and a more effective way to understand biological mechanisms of complex diseases.

• Journal of the Korean Home Economics Association
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• v.32 no.1
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• pp.31-46
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• 1994

the purpose of this study is to investigate (1) the real life of urban employed husbands and their wives(2) the balance between labor force reproduction and the labor force consumption(3) and the share of family responsibility by analysis patterns of their time use. Data for 227 couples were gatherd from using structured questionnaire and time diary. (1) Because of Husbands' long labor time and employed wives' roleoverload their social-cultural time is too short which means the pattern of their time use are very unbalanced type. (2) Regardless of wives' employment status husbands' housework time is too short which means that family responsibility is scarcely shared.

• Journal of the Korean Home Economics Association
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• v.36 no.2
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• pp.105-120
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• 1998

This study delineates the preferences of elderly housing characteristics among a middle-aged population. The data were collected from an independent, random, age-stratified sample of house wives using structured questionaire and interview methods. The data were analyzed using a SAS statistics analysis program. The preferred way of living style and housing characteristics were investigated. Preferred housing characteristics were influenced by age, income, job and education. Education was the most powerful indicator for predicting the preferences.