• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.1-22
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• 2022

The purpose of this study is to propose a book recommendation system that can be used in school libraries. The book recommendation system applies an algorithm based on association rules using DLS lending data and is designed to provide personalized book recommendation services to school library users. For this purpose, association rules based on the Apriori algorithm and betweenness centrality analysis were applied and detailed functions such as descriptive statistics, generation of association rules, student-centered recommendation, and book-centered recommendation were materialized. Subsequently, opinions on the use of the book recommendation system were investigated through in-depth interviews with teacher librarians. As a result of the investigation, opinions on the necessity and difficulty of book recommendation, student responses, differences from existing recommendation methods, utilization methods, and improvements were confirmed and based on this, the following discussions were proposed. First, it is necessary to provide long-term lending data to understand the characteristics of each school. Second, it is necessary to discuss the data integration plan by region or school characteristics. Third, It is necessary to establish a book recommendation system provided by the Comprehensive Support System for Reading Education. Based on the contents proposed in this study, it is expected that various discussions will be made on the application of a personalization recommendation system that can be used in the school library in the future.

• Korean Journal of Child Studies
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• v.11 no.1
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• pp.15-28
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• 1990

The purpose of this study was (1) to investigate and order the levels of parental authority concepts established by Damon, and (2) to investigate the relationship between the development of parental authority concepts and the child's age and sex. The subjects of this study were 120 children from an elementary school in Seoul. There were 40 subjects (20 males and 20 females) in each of three age groups: 8-, 10-, and 12- year-olds. The subjects were interviewed individually using Damon's(1977) open-ended questions concerning family rules. Responses to the assessment questions were coded as positive or negative, and responses to the judgement concept questions were coded into 6 levels. Statistical analysis of obtained data was by percentage, Spearman correlation using an ordinal scale, two-way analysis of variance, and Duncan test. The results showed that (1) the developmental levels of parental authority concepts established by Damon conformed to an ordinal scale, and (2) the development of parental authority concepts was related to child's age but not to child's sex.

• The Research Journal of the Costume Culture
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• v.2 no.2
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• pp.317-335
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• 1994

The purpose of this thesis is to analyze the relation of the mentalistics linguistics and costume, and to clarify the relationship between language as psychological expressions and costume to understand the phenomena of human costume behavior more deeply and comprehensively. As for the analysis of he costume phenomena, Noam Chomsky's psychological linguistic theory were applied to costume system. In this respect, particularly, by means of Chomsky's later theory(1965), the costume behavior were analyzed. The followings are the findings of the analysis : 1. The Syntactic Component: (※ See Full-Text) 2. The Semantic Component. The costme behavior is similar to a language system. Just as one morpheme or a phrase and phrases make different sentences, so various methods wearing costume make different sentences, so various methods wearing costume make different forms is costume. Language and costume have dictionary entry showing the meaning of vocabulary, and rules combining the individual meaning of the dictionary entry to complete the sentence.

• Journal of Contemporary Eastern Asia
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• v.17 no.2
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• pp.237-253
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• 2018

In order to understand China's internet governance, this paper examined 1,931 Internet policies of China by bibliometric techniques. Specifically, the bibliometric techniques include simple document counting, co-word analysis, collaboration network analysis and citation analysis. The findings include: (1) China's Internet legislations mainly emphasized e-commerce and Internet governance, and, to some extent, neglected personal data protection; (2) China's Internet is under intensive multiple regulatory controls by central government. A large number of government agencies are involved in Internet policy-making. The Propaganda Department of the Central Committee of the Communist Party of China and the State Information Leading Group of the State Council, enforced fewer policy documents, but occupy higher positions in the Internet governance hierarchy; (3) China's Internet legislation system is primarily composed of industry-specific administrative rules, rather than laws or administrative regulations. Nevertheless, laws and administrative regulations received significantly more citations owing to their superior force. This paper also discussed current gaps in China's internet governance and how the country's internet policies are situated in the broader global context.

• Explosives and Blasting
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• v.22 no.1
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• pp.45-56
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• 2004

The industrial explosives in Korea have been made and used since 1952. The blasting accidents have increased gradually with the use of explosives. Based on the Police Department and Guns & Explosives Safety Technology Association's researching materials, the blasting accidents between 1988 and 1997 have been investigated and analyzed in this paper. FTA method was applied for the analysis of the blasting accidents which occurred in the tunnels, roads, subways, and various kinds of building construction area. The results show that the majority of the accidents, about 45.7% of the total, are due to the fly rocks. It is similar trend in Japan. The FTA analysis performed on the accidents by fly rocks shows that the major source of the accident is human factors such as non-observance of the safety rules, less knowledge of the safety and so on. The results of the study ate expected to provide basic data for making and observing the safety rules, making and amending the laws concerned and planning the security project. It will be helpful in preventing the blasting accidents and in reducing the loss of valuable lives and the financial damage.

• Korean Journal of Construction Engineering and Management
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• v.21 no.4
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• pp.90-99
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• 2020

The construction industry is suffering from a large number of fatal accidents. As many field works are being conducted in a dangerous condition such as working at height and adverse weather, they are always exposed to safety accidents with high frequency and severity compared to other industries. Such risk is even larger in small construction sites, but studies that focus on combinatorial factors leading to fatal accidents in small construction sites are lacking. Thus, in order to reduce the fatal accidents in the construction industry, this study analyzed 1,438 occupational death accidents cases in small construction sites and, then, conducted the association rule analysis to extract ten combinatorial factors that frequently led to fatal accidents in small construction sites. Based on the extracted association rules, this study also discussed possible countermeasures to reduce the fatal accidents. The results were explained to experts, who agreed on the results of the study. This study contributes to the construction safety management theory by providing a detailed analysis of fatal accidents in small construction sites that can be used for developing and deploying safety policies and educations for small construction site workers.

• Journal of the Korean Data and Information Science Society
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• v.17 no.2
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• pp.455-465
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• 2006

Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, and relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. We analyze industrial waste database using data mining technique. We use k-means algorithm for clustering and C5.0 algorithm for decision tree and Apriori algorithm for association rule. We can use these outputs for environmental preservation and environmental improvement.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.197-206
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• 2012

A exisiting recommedation system using association rules has the problem, such as delay of processing speed from a cause of frequent scanning a large data, scalability and accuracy as well. In this paper, using a Implicit method which is not used user's profile for rating, we propose the personalized recommendation system which is a new method using the FP-tree mining based on RFM. It is necessary for us to keep the analysis of RFM method and FP-tree mining to be able to reflect attributes of customers and items based on the whole customers' data and purchased data in order to find the items with high purchasability. The proposed makes frequent items and creates association rule by using the FP-tree mining based on RFM without occurrence of candidate set. We can recommend the items with efficiency, are used to generate the recommendable item according to the basic threshold for association rules with support, confidence and lift. To estimate the performance, the proposed system is compared with existing system. As a result, it can be improved and evaluated according to the criteria of logicality through the experiment with dataset, collected in a cosmetic internet shopping mall.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.399-406
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• 2013

Recently, studies about process mining for creating and analyzing business process models from log data have received much attention from BPM (Business Process Management) researchers. Process mining is a kind of method that extracts meaningful information and hidden rules from the event log of enterprise information systems such as ERP and BPM. In this paper, repair processes of electronic devices are analyzed using ProM which is a process mining tool. And based on the analysis of repair processes, the method for finding major failure patterns is proposed by multi-dimensional data analysis beyond simple statistics. By using the proposed method, the reliability of electronic device can be increased by providing the identified failure patterns to design team.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.539-550
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• 2016

The news coverage of Sewol Ferry catastrophe has reprimanded from numbers of people because of false reports and mediamorphosis such as distorted news. Thus, the purpose of this study is to examine the news coverage of television news programs about the Sewol Ferry catastrophe. Specifically, this study was conducted to figure out problems with the disaster news reports of several broadcasting stations such as, KBS, MBC, SBS and JTBC. Furthermore, the study also explores about how they reported without following the rules of disaster news coverage and policy of disaster news coverage by content analysis.