• Journal of Families and Better Life
• /
• v.32 no.5
• /
• pp.15-30
• /
• 2014

This study aims to analyze what factors are associated with child care accreditation in Chungbuk province. This study examined three questions about which factors influence the accreditation of childcare centers: 1) if they passed the accreditation criteria, 2) the total score on the accreditation criteria, and 3) the domain scores for the six domains of environment, management, process, interaction and teaching, health and nutrition, and safety. The characteristics of 1,212 childcare centers, the independent variables, were commit management, type, specialized service, maximum capacity of children, registration ratio, target age groups of children, duration, and city size. The formal expert committee evaluated objective scores for 952 childcare centers. I derived the data for this study from the i-sarang Childcare Information Portal site (http://info.childcare. go.kr/). Frequency, descriptive statistics, binary logit model, and OLS model analysis were used to examine the accreditation and scores by factors of childcare centers. The findings of the present study are as follows. First, about 80% of the 1,212 childcare centers in Chungbuk province were accredited. Second, the accreditation of the child care center was affected by the specialized service, registration ratio, and duration. Finally, the total score of accredited childcare centers was associated with the maximum capacity of children, registration ratio, and duration. The factors of childcare centers influencing sub-area scores were different by environment, interaction and teaching, health and nutrition, and safety. The present study is important because it offers preliminary data identifying accreditation characteristics that can judge problems related to the quality of service of childcare centers and suggest childcare policy implications.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
• /
• v.31 no.4
• /
• pp.65-82
• /
• 2018

Objectives : The purpose of this study is 1) to explore the general tendency of the herbs or herbal formula for acne treatment in clinical practice 2) and to provide a basis for explaining the principles of acne treatment in Korean Medicine in order to make patients understand more easily based on pharmacological mechanism by analyzing the herbs or herbal formula using for acne treatment in clinical practice. Methods : In the domestic databases (Oriental medicine Advanced Searching Integrated System-OASIS, Korean Traditional Knowledge Portal-KTKP, National Discovery for Science Leader-NDSL, Research Information Sharing Service-RISS), we selected among the papers published using search terms related to "acne". Reports related to sasang constitutional medicine were excluded and a total of 23 papers were finally selected. Results : 29 prescriptions were retrieved from 23 papers. Chungan-tang (淸顔湯) notified formulas ranked first by Cheongsangbangpung- tang (淸上防風湯), Hwangnyeonhaedok-tang (黃連解毒湯), Dangguijakyaksan (當歸芍藥散) and Bipachungpe-eum (枇杷淸肺飮). Commonly used herbs are Forsythiae Fructus (連翹), Scutellariae Radix (黃芩), Gardeniae Fructus (梔子), Ligustici Rhizoma (川芎), and Angelicae Gigantis Radix (當歸). In most patients with inflammatory lesions or excessive flushing, exterior-releasing medicinal (解表藥) and heat-clearing medicinal (淸熱藥) were mainly prescribed for acne treatment, while in patients with acne accompanied hyperkeratinization, Excess sebum secretion, Dysmenorrhea or indigestion, qi-tonifying medicinal (補氣藥) or blood-tonifying medicinal (補血藥) were mainly used. KAGS (Korean Acne Grading System) was the most commonly used method for acne severity assessment. Conclusions : These findings suggest that the herbs or herbal formula for acne treatment in Korean Medicine is prescribed differently according to the cause and symptoms of acne in a unique way for control the whole body balance. Also, our findings could provide a basis for explaining the principles of acne treatment in Korean Medicine in order to make patients understand more easily based on pharmacological mechanism in clinical practice.

• Journal of Digital Convergence
• /
• v.14 no.11
• /
• pp.107-113
• /
• 2016

This paper proposes various policies for maximizing the performances of Government loan. In order to do so, this paper offers new 10 policies with results from analyzing a survey for the requirements of SMEs that were supported with Government loan program. Also this paper drives methods for finding new value indices and reforming formulas for quantifying some indices. On the other hand, this paper introduces financing methods using K-OTC and KONEX markets and presents three portal sites to provide information about Government sponsored loan matched to needs of an individual company. Also this paper improves the supplement points resulted from operating Government loan. In conclusion, these new policies will raise effectiveness and efficiency of Government loan programs and will contribute to achieving the goals which are establishing the foundation for growth in IT industry as well as IT SMEs, improving the quality of the national livelihood and promoting the growth of national economy.

• Journal of KIISE:Computing Practices and Letters
• /
• v.11 no.3
• /
• pp.275-283
• /
• 2005

Ontologies are the core components of the Semantic Web and knowledge-based systems. But it is difficult to find useful ontologies in actual domains. In order to build useful domain ontology, the conceptualization of the domain knowledge by knowledge experts of the specific domain and the specification of conceptualized knowledge with formal languages by ontology designers are required. In addition, structured and detailed guidelines and methods should be provided to be shared by the development team members. However, existing ontology building methodologies define and describe the skeletal structure of the whole building process at the top-layer. We build a useful academic ontology that is based on the conceptual knowledge structure in the domain of philosophy, and propose a detailed methodology to build a text ontology based on Topic Maps. Our methodology consists of two phases, ontology modelling and ontology implementation. We implement a philosophy knowledge portal to support retrieving and navigating of the philosophy knowledge.

• The Research Journal of the Costume Culture
• /
• v.27 no.6
• /
• pp.645-653
• /
• 2019

Laundry services are becoming more specialized and diversified. Therefore, this study investigated consumers' perceptions of professional laundry shops by analyzing social media data. For this purpose, text data from blogs, cafés, and Q&A sections ('Ji-Sik-In') on the portal site, naver.com, was collected. Sixty-four keywords were extracted from 2,213 social texts and transformed into a one-mode matrix using KrKwic, a program for the analysis of Korean text. Semantic network analysis was conducted to understand the network structure and the results were visualized using NodeXL. Keywords included fashion items and materials that require specialized professional laundry services, words related to the establishment of laundry shops, and laundry shop brands. Essential keywords of professional laundry shops included 'luxury,' 'footwear,' 'removal,' 'bag,' 'leather,' 'sneakers,' 'padding,' 'premium,' 'dyeing,' and 'franchise.' These results could be used to deduce that consumers perceive a professional laundry shop as a franchise shop offering specialized professional laundry services. A cluster analysis was conducted to identify the types of consumer perceptions of professional laundry shops. The network was divided into three groups: 'specialized professional laundry service,' 'laundry and repair of winter coats and jackets,' and 'the establishment of a professional laundry shop.' According to the results, consumers perceive professional laundry shops as franchises that offer specialized professional laundry services rather than general laundry services. Therefore, professional laundry shops need a strategy to develop special laundry services that differentiate them from other companies and communicate with consumers about these services.

• The KIPS Transactions:PartD
• /
• v.19D no.1
• /
• pp.113-120
• /
• 2012

Today, Internet users can easily create and share the digital contents with others through various online content sharing services such as YouTube. So, many portal sites are flooded with lots of user created contents (UCC) in various media such as texts and videos. Estimating popularity of UCC is a crucial concern to both users and the site administrators. This paper proposes a method to predict the popularity of Internet articles, a kind of UCC, using the dynamics of the online contents themselves. To analyze the dynamics, we regarded the access counts of Internet posts as the popularity of them and analyzed the variation of the access counts. We derived a model to predict the popularity of a post represented by the time series of access counts, which is based on an exponential function. According to the experimental results, the difference between the actual access counts and the predicted ones is not more than 10 for 20,532 posts, which cover about 90.7% of the test set.

• Journal of rehabilitation welfare engineering & assistive technology
• /
• v.1 no.1
• /
• pp.37-43
• /
• 2007

Internet is essential to live nowadays, but persons with disabilities are hard to use internet because people who develops and operate web sites don't think and comply the web accessibility standard. In order to solve this problem, Korea governments implement a lot of policies such as. making web accessibility standard, operating web accessibility education program, etc.. The purpose of this paper is examined the web accessibility compliance of major web sites such as portal, news, banking, education in Korea. In order to investigate the web accessibility compliance status of major web sites's in Korea, 15 web sites were chosen. This study was used the 4 major checkpoints that must be the crucial among 14 checkpoints in Internet Web Contents Accessibility Guidelines which was amended by Ministry of the Information and Communication in 2005. The results of this study showed that 15 major web sites in Korea didn't meet the 4 major checkpoints.

• Convergence Security Journal
• /
• v.17 no.2
• /
• pp.3-13
• /
• 2017

In the knowledge-information society, many domestic companies put lots of investment in technical development to possess core technologies and intellectual property. However, in the results of passive investment in security to protect their technologies compared to the active investment in technical development, the technology leaks from many companies and research institutes are rapidly increasing. Such increase of technology leaks not only causes damage to companies, but also has harmful effects on national economy directly and indirectly. Even though it has been perceived that a lot of industrial technology leak crimes are committed by former/current workers of small and medium-sized businesses, it is hard to find researches that mainly compare and analyze them. Therefore, this study aimed to understand the actual status of industrial technology leaks by analyzing cases of industrial technology leaks from 2014 to 2016 based on the type of victimized companies, corporate internal leakers' positions, matter of complicity, tools used for technology leaks, and motivation for technology leaks. Through the analysis in each type, the patterns and characteristics of industrial technology leaks were researched, and also the exploratory research on industrial security for the prevention of industrial technology leaks was conducted.

• Journal of the Korea Convergence Society
• /
• v.11 no.5
• /
• pp.199-207
• /
• 2020

Recently, big data analysis has drawn attention in various fields as it can generate value from large amounts of data and is also used to run political campaigns or predict results. However, existing research had limitations in compiling information about candidates at a high-level by analyzing only specific SNS data. Therefore, this study analyses news trends, topics extraction, sentiment analysis, keyword analysis, comment analysis for the 2017 presidential election of South Korea. The results show that various topics had been generated, and online opinions are extracted for trending keywords of respective candidates. This study also shows that portal news and comments can serve as useful tools for predicting the public's opinion on social issues. This study will This paper advances a building strategic course of action by providing a method of analyzing public opinion across various fields.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.61 no.6
• /
• pp.41-53
• /
• 2019

Recently, the damage caused by climate change has been distinguished in the world. The Korean Peninsula is also suffering from drought, so it is necessary to study the vulnerability assessment to identify and predict the state of the irrigation facility, which is a irrigation facility. As the damage caused by drought is occurring in the Korean peninsula, it is necessary to study the vulnerability assessment to know the condition of the irrigation facility, and to predict it. The target areas were Yeongdong-gun, Cheonan-si, Mungyeong-si, Geochang-gun, Muju-gun, and Yeonggwang-gun. The survey items were selected as positive impacts survey items, including precipitation, groundwater level, and pumping capacity per groundwater well. The negative impacts were selected as the cultivation acreage, Number of days without rain, and the ratio of private underground wells. The survey method was investigated by various methods such as "weather data portal", "groundwater level status information", "agricultural drought management system", "groundwater survey yearbook". The results of vulnerability assessment were expressed by the score by conducting survey and standardization. As a result, Yeonggwang-gun showed normal vulnerability, and other areas showed "vulnerable" or "very vulnerable".