• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.161-166
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• 2013

The purpose of this research is to analyse the research subject in journal of Korean safety management and sciences. Total 1850 key words in 560 papers were analysed by the Pajek system which is one of well known social network analysis tool. Key words trend from 2008 to 2012 was examined. Then the relationship among each key words was visualized. There were five key words group which strongly connected among key words. The degree centrality, between centrality, proximity prestige on each key words were calculated to verify influence degree to other key words.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.221-227
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• 2012

This research is a key words analysis on Radio Frequency Identification. Key words were collected from Korean research papers in the electronic library DBpia. 700 papers published from 2001 to 2011 were included. The number of collected key words is 1460. The trend of publishing research papers was increased rapidly from 2005, reached peak at 2009 and decreased after 2010. Majority of key words were related to hardware, information technology and standardization. Selected 128 key words were analyzed and clustered by social network analysis to find a relationship among key words on RFID.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.43-45
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• 2015

선사 CEO에게 안전이 기업 경쟁력의 핵심임을 인식시켜 안전을 최우선으로 하는 경영문화가 업계에 정착되도록 유도하고자 목포해양대학교에서는 해양수산부의 위탁을 받아 선사 CEO를 대상으로 해양안전리더 교육을 시행하고 있다. 안전경영에 대한 선사 경영진의 의식전환과 가치정립은 해양사고 저감을 위한 전제요건이나, 해양종사자에 대한 교육만 이루어지고 있을 뿐 회사 경영층을 대상으로 한 교육은 아직까지 미미한 수준이다. 따라서 선사의 경영층을 대상으로 안전에 대한 이론과 실무, 타 회사의 안전경영 사례 등을 공유할 수 있는 교육기회를 제공함으로써 해양안전리더로서 선도적으로 안전경영을 해나가도록 유도하고, 추가적으로 선사 CEO가 생각하는 안전 Key Words가 무엇인지 델파이기법을 활용하여 도출해 보고자 한다.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.289-294
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• 2013

Due to sudden transition to intellectual society corresponding with fast technology progress, companies and nations need to focus on development and guarantee of intellectual property. The possession of intellectual property has been the important factor of competition power. In this paper we developed the efficient patent search process with big data analysis tool R. This patent search process consists of 5 steps. We result that at first this process obtain the core patent search key words and search the target patents through search formula using the combination of above patent search key words.

• Journal of the Korea Safety Management & Science
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• v.2 no.4
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• pp.71-90
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• 2000

This study proposes strategical, practical guide to build up ERP system through several case studies to large company and comparative analysis of success and fail factors. Key words in paper .is in summary of previous BPR and ERP studies, try to clarify relationship between BPR and ERP, derivative seeking of practical key success factors through several real cases studies to build up ERP system which is in-house development or customization of commercial package.

• Journal of Food Hygiene and Safety
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• v.32 no.2
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• pp.96-100
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• 2017

Through the increasing use of internet and smart device, consumers can search the information what they want to find. The information has been accumulated and become into a big data. Analyzing the big data regarding key words associated with foods and foodborne pathogens could be a method for predicting foodborne illness outbreaks, especially in school food services. Therefore, the objective of this study was to elucidate the correlations between key words associated with foods and food safety issues. Frequencies of the key words for foodborne pathogens and food safety issues were searched using an internet portal site from January 1, 2012 to December 31, 2014. In addition, foodborne outbreak data were collected from Ministry of Food and Drug Safety for the same period of time. There was correlation between the time having maximum key word frequencies of foods and foodborne pathogens, and the time for foodborne illness outbreak occurred. In addition, the search frequencies for foods and foodborne pathogens were generally increased right after foodborne outbreaks occurred. However, in some cases foodborne outbreaks occurred after the search frequencies for certain seasonal foods increased These results could be useful in food safety management for reducing foodborne illness and in food safety communication.

• Journal of the Korean Society of Safety
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• v.38 no.3
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• pp.69-76
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• 2023

The purpose of the rules on the Occupational Safety and Health Standards (hereafter safety and health rules) is to regulate the safety and health measures stipulated in the Occupational Safety and Health Act and the specific instructions necessary for their implementation. However, the safety and health rules are extensive and complexly connected, making navigation difficult for users. In order for users to readily access safety and health rules, this study analyzed the frequency, distribution, and significance of terms included in the overall rules. First, the term distribution index was created based on the frequency and distribution of words extracted through text mining. The term distribution index derives from whether a word appears only in a specific chapter or across all rules. This allows users to effectively explore terms to be followed in a specific working environment and terms to be complied with in the overall working environment. Next, the related words of the previously derived terms were visualized through t-SNE and the Word2Vec algorithm. This can help prioritize the things that need to be managed first, focusing on key terms without checking the overall rules. Moreover, this study can help users explore safety and health rules by allowing them to understand the distribution of words and visualize related terms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5664-5672
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• 2015

The purpose of this paper is to draw main characteristics of local climate change plans of 8 pilot cities through a serious of comparative analyses. The results of the analyses on the mitigation plans and the adaptation plans are the followings; Firstly, climate change plans have two types of distinctive frameworks. Secondly, vision, objectives, and main strategies are composed of main key words. The key words of mitigation plans are low carbon, GHG, green city, energy, and green growth. Adaptation, ecosystem, healthy, safe, disaster, water are the key words that frequently shown in adaptation plan. Thirdly, the mitigation plans tend to place emphasis on transportation and common area. The adaptation plans tend to weigh on water control and forestry. The main characteristics of both mitigation plans and adaptation plans of 8 pilot cities are summarized and policy implications are suggested.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.21-26
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• 2023

Recently, cryptocurrencies such as Ethereum and Bitcoin, which are called digital assets, Cryptocurrency has completely different characteristics from real assets and must be handled carefully and safely. But The disadvantage of digital assets is that anyone who knows the private key of the wallet can easily steal the digital assets. If the seed card is lost, stolen, or exposed when used, you can use the wallet by recovering the private key using the seed card acquired by someone else. In this paper We aim to safely protect encrypted assets by using QR codes when providing mnemonic words needed to create seed cards.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.856-858
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• 2013

The data which is sensed on USN(Ubiquitous Sensor Network) environment is concerned with personal privacy and the secret information of business, but it has more vulnerable characteristics, in contrast to common networks. In other words, USN has the vulnerabilities which is easily exposed to the attacks such as the eavesdropping of sensor information, the distribution of abnormal packets, the reuse of message, an forgery attack, and denial of service attacks. Therefore, the key is necessarily required for secure communication between sensor nodes. This paper proposes a KDPC(Key Distribution Protocol based on Cluster) using ECDH algorithm by considering the characteristics of sensor network. As a result, the KDPC can provide the safe USN environment by detecting the forgery data and preventing the exposure of sensing data.