• Journal of the Korean Society for Library and Information Science
• /
• v.50 no.2
• /
• pp.5-23
• /
• 2016

The purpose of this study is to analyze common inquiry tasks of middle school history textbooks and find out it's implications on teacher librarians' educational information services. There are 84 common inquiry tasks according to examinations of inquiry tasks related to world history in 18 kinds of middle school history textbooks. Results of the analysis show that almost all of common inquiry tasks of world history make middle school students who should resolve them research the pictures and reading materials included in the textbooks individually and verbalize under the information literacy process. Compared with information literacy process of the "Library and Information Skills" for middle schools, the First step of task definition and figuring out information needs and the Third step of representation of information are being implemented. For this reason, teacher librarian could reduce history studies teachers' burden of running the class and promote students' inquiry activities by teaching skills of information analysis and interpretation, synthesis and organization and evaluation of their information literacy process and results.

• Journal of the Korean Data and Information Science Society
• /
• v.21 no.1
• /
• pp.185-194
• /
• 2010

In recommender systems which are used widely at e-commerce, collaborative filtering needs the information of user-ratings and neighbor user-ratings. These are an important value for recommendation in recommender systems. We investigate the in-formation of rating in NBCFA (neighbor Based Collaborative Filtering Algorithm), we suggest new algorithm that improve prediction accuracy of recommender system. After we analyze relations between two variable and Error Value (EV), we suggest new algorithm and apply it to fitted line. This fitted line uses Least Squares Method (LSM) in Exploratory Data Analysis (EDA). To compute the prediction value of new algorithm, the fitted line is applied to experimental data with fitted function. In order to confirm prediction accuracy of new algorithm, we applied new algorithm to increased sparsity data and total data. As a result of study, the prediction accuracy of recommender system in the new algorithm was more improved than current algorithm.

• Asia pacific journal of information systems
• /
• v.13 no.1
• /
• pp.119-140
• /
• 2003

The business value of IT has been the focus of the academic and business field in recent years, along with the massive IT investment. Unfortunately, those studies have not been able to demonstrate strong linkages between the IT investment and performance. The impact of IT investment on performance is an important research topic that needs to consider the role of key contextual factors and intermediate factors. This study develops an integrated model for IT investment, with the mediating effects of production/coordination performance towards firm performance. In addition, the model is moderated by some factors like ISP(Information Systems Planning), Business Planning alignment, top management support, IT education and training, and process innovation. The empirical result, based on the moderating regression analysis, indicates that the relationship between IT Investment and production/coordination performance is significantly positive depending on moderating factors. However, production/coordination performance is partially related to firm performance.

• Journal of Information Processing Systems
• /
• v.18 no.6
• /
• pp.755-762
• /
• 2022

The existing electrical engineering design method and the dynamic objective function in the application process of automatic control system fail to meet the unbounded condition, which affects the control tracking accuracy. In order to improve the tracking control accuracy, this paper studies the electrical engineering design method based on neural network and the application of automatic control system. This paper analyzes the structure and working mechanism of electrical engineering automation control system by an automation control model with main control objectives. Following the analysis, an optimal solution of controllability design and fault-tolerant control is figured out. The automatic control power coefficient is distributed based on an ideal control effect of system. According to the distribution results, an automatic control algorithm is based on neural network for accurate control. The experimental results show that the electrical automation control method based on neural network can significantly reduce the control following error to 3.62%, improve the accuracy of the electrical automation tracking control, thus meeting the actual production needs of electrical engineering automation control system.

• International conference on construction engineering and project management
• /
• 2015.10a
• /
• pp.744-745
• /
• 2015

Since the G20 summit in 2011, South Korea who was dependent on foreign energy needs of 97% receives natural gas from Russia from 2015 to 30 years, but South Korea is a situation of scarce experience and skills of pipeline project in permafrost area. In this study, we kept the target for analyzing the data and information flow of the pipeline projects in permafrost area, and the ultimate goal is set to developing the hierarchy structure of design and construction data for an efficient administration of the project. In order to develop that structure, Configuration Management was introduced and through this method, it is expected to be used to build the overall information management system in O&M phase.

• Journal of the Korean housing association
• /
• v.23 no.3
• /
• pp.43-52
• /
• 2012

The purpose of this study is to determine the characteristics of interior coordination in accordance with lifestyles to provide better interior conditions for house dwellers who have many different preferences and needs. For this purpose, this research examined the lifestyles of house dwellers, and their experiences on interior coordination, needs and preferences of dweller groups according to their lifestyles. As the methods of the study, both literature research and empirical survey were conducted. The findings of the study can be summarized as follows; The factor analysis shows that there are five main factors significantly affecting the lifestyles of apartment residents, and the lifestyles of residents were largely classified into four groups. G1 group is characterized by 'demand for luxuriousness' and 'pursuit for beauty', and G2 group has tendency of 'information orientation' and 'pursuit for self-expression', G3 group shows strong tendency for 'pursuit for practicality' and G4 group is characterized by 'pursuit for self-expression' and 'pursuit for beauty'. The four groups showed distinct characteristics in their experiences, needs and preferences of interior coordination. G1 group can be names as 'the style of well-being and luxuriousness', and they are very positive in the interior climate change and prefer artistic items and luxurious atmosphere. G2 group, which can be named as 'the style of expression', tend to have their house interior-coordinated in order to follow fashion trends or express their personality. G3 group is named as 'the style of practicality' and they consider convenience, practicality, and functionality. The last group, G4 can be named as 'the style of personality', and they have much interest in expressing their personality or following trendy fashions.

• Journal of the Korean Dietetic Association
• /
• v.4 no.2
• /
• pp.225-234
• /
• 1998

Nutrition during childhood is essential for growth and maintenance of health. Good food habits developed during the childhood will contribute both to the healthy growth and the prevention of the degenerative disease of later life. Both parents and the providers in child care centers play an important role for children's good eating behavior. Therefore all child care programs should achieve recommended standards for meeting children's nutritional and educational needs in a safe, sanitary, and supportive environment to promote the healthy growth and development of children. The purposes of this study were to evaluate the foodservice management practices and assess the needs for a Central Production Unit by contacting the child care center' providers. This approach was achieved using a variety of qualitative and quantitative information including the general foodservice management practices and the needs for a Central Production Unit. An indepth face-to-face interview with structured-questionnaires was undertaken at 32 representative child-care centers in Seoul. Statistical data analysis was done using the SAS program for descriptive analysis and ANOVA. The number of national/public and private sectors were 11 respectively, followed by 10 licensed home day-care centers. Total average number of children in child-care centers was 54.3 $\pm$48.5. The foodservice productivity index in child-care centers was 4.8 minutes per meal for public child care centers, 6.0 for private child-care centers, and 9.8 for home child care centers. Home child care centers were found to have the lowest productivity index which indicated inefficient foodservice practice. The important factors in group purchasing were menus(39.6%) or close distance(39.6%) > type of foodservice operation(32.8%) > total number of meals(19.9%) > food costs(16.2%) in order. Average score of the efficiency for central food production in child-care centers was 3.80 $\pm$0.84 out of 5.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.26 no.2
• /
• pp.57-72
• /
• 2024

Currently, Korea is on the verge of entering into an ultra-aged society and the associated market size is growing. In this regard, customer-centered design that understands the consumer needs of the new silver generation, which is emerging as a new consumer group, and reflects them in products is the key to the success of the high-value-added fashion industry. Therefore, this study reviewed the changes in physical, biological, social, and psychological characteristics of the new silver generation, through a review of related books and previous studies, and secured the direction for clothing product development for the new silver generation. The literature review was supplemented by group interviews to accurately identify the needs of silver consumers. In addition, the study conducted case analysis through web searches of fashion magazines, newspaper articles, brand web sites, and trend information sites to investigate the market trends of one-mile wear products that have emerged due to the COVID-19 pandemic, the characteristics of one-mile wear brands, and products for new silver women, including size specification analysis and sewing techniques that minimize skin irritation while reflecting the consumer's characteristics. Based on the results of this study, a competitive design and product development were proposed from an economic and industrial perspective that can enhance the product value and maximize the marketing effect by developing consumer-oriented one-mile comfort wear products with aesthetic, practical, functional, and economic values that satisfy the characteristics and needs of new silver women.

• Journal of Internet Computing and Services
• /
• v.16 no.4
• /
• pp.93-99
• /
• 2015

The purpose of this study was to explore the reasons why college students use Facebook and the ways in which they feel of social presence while using Facebook. In fact, the study aimed to specify the links between motivations for using SNS and a sense of 'being together'. The findings of this study suggest that major motivations of SNS use were social interaction, entertainment, self-presentation, and information-seeking. Specifically, results from a survey of 280 respondents revealed that college students used Facebook to seek maintenance and connection with friends, to express themselves, to get information about school activities, and to be entertained. These findings are consistent with the existing literature regarding SNS as a primary channel to maintain the existing social relationships among college students. The study also found that all motivation factors, except information-seeking factor, were positively and significantly related to social presence. The strongest correlations were between social presence and Facebook use for social interaction and entertainment needs. It seemed that users who seek social interaction and entertainment needs are more likely to feel a sense of being with others while users who seek to get information are less likely to feel a sense of social presence. These findings implied that to some extent, a sense of social presence occurs in the context of Facebook and that the experience of social presence depends on what college students seek from Facebook use. In addition, the results showed a positive relationship between Facebook use and social presence; the more college students use Facebook, the more they are likely to experience sense of social presence. Given that Facebook provides college students with a place where they can share thought and feelings among friends, it can be concluded that Facebook contributes to the sense of belonging among users. And such feeling may enhance a sense of presence with others while using Facebook. These findings suggest that uses and gratifications researchers should consider the concept of social presence as an important variable in explaining what audience members do with media.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.12
• /
• pp.2871-2877
• /
• 2015

Shopping patterns are changing with the emergence of SNS. Recently, it is also interested in providing the information based on the users' needs. Generally, the provided information is obtained from the history of users' simple browsing. Best selling hot item list is also provided in order to reflect the preferences of public users. However, the provided information is irrelevant to an individual preference. In this paper, we propose a method to utilize inner and outer SNS for analyzing public preferences about goods which are interested by individual users. The inner analyzing module collects and analyzes the preferences of community members about two goods designated by individual users. The outer analyzing module supports to analyze public preferences by using the tweeter SNS. The results of implementation show that it is possible to recommend goods based on the individual users' preferences unlike the existing shopping mall.