• Human Ecology Research
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• v.60 no.4
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• pp.609-623
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• 2022

As human life and welfare become more valued in the Fourth Industrial Revolution era, the role and mission of human ecology are expanding. Therefore, a career exploration and education program for high school students covering all the academic fields of human ecology may be necessary. To investigate what would be needed to develop such a program, a focus group interview (FGI) targeting experts within the same field and a survey targeting high school students were conducted. As a result of the FGI, a total of 3 categories and 7 subcategories were identified. The three categories included "human ecology and high school education," "human ecology and career choices," and "education program development and management in human ecology." The results of the high schoolers' survey showed that they had a moderate level of awareness about careers related to human ecology majors, but their interests and known information about human ecology programs in universities were low. Within the sub-content of each major, the contents with the highest educational needs were fashion product management, nutrition by disease, housing market analysis, personal financial management, and children's rights and welfare. If a career exploration and education program is implemented in the future, the most preferred type is a mentoring program by professors, students, and graduates in the field of human ecology. In conclusion, it is necessary to develop and implement an integrative education program about human ecology majors based on the educational needs of high school students.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.6
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• pp.1461-1470
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• 2016

In side channel analysis, signal processing techniques can be used as preprocessing to enhance the efficiency and performance of analysis by reducing the noise or compressing the dimension. As signal processing techiniques using singular value decomposition can increase the information of main signal and reduce the noise by using the variance and tendency of signal, it is a great help to improve the performance of analysis. Typical techniques of that are PCA(Principal Component Analysis), LDA(Linear Discriminant Analysis) and SSA(Singular Spectrum Analysis). PCA and LDA can compress the dimension with increasing the information of main signal, and SSA reduces the noise by decomposing the signal into main siganl and noise. When applying each one or combination of these techniques, it is necessary to compare the performance. Therefore, it needs to suggest methodology of that. In this paper, we compare the performance of the three technique and propose using Sinal-to-Noise Ratio(SNR) as the methodology. Through the proposed methodology and various experiments, we confirm the performance and efficiency of each technique. This will provide useful information to many researchers in the field of side channel analysis.

• Journal of Korean Library and Information Science Society
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• v.47 no.2
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• pp.259-286
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• 2016

The purposes of this research is designing an FRBR-based information search services based on users' needs and behaviors. Regarding this matter, this study first extensively analysed literature related to the FRBR Model. On that basis, this study categorized foreign cases by application methods of FRBR Model, and identified their characteristics. Also this study analysed how Korean users evaluated the FRBR-based information search services. Afterwards, this study discussed the overall development direction before we develop the FRBR search service in earnest. In those terms, this study selected four types of FRBR-based search services(FictionFinder, AustLit, Perseus Digital Library, Virtua) and analysed each Model's application method. Finally, this study analysed user preference of the categorization using four undergraduate and four postgraduate students of the Department of Library and Information Science.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.5
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• pp.12-25
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• 2009

The purpose of this study is to identify and analyze drivers' attitude related to usage of traffic information and traffic management service. A sample survey on Seohaeanseon Expressway(15), Gyeongbu Experssway(1), Youngdong Expressway(50) was conducted to analyze drivers' attitude ; sample size is 304 with 95% of confidence level and ${\pm}3.6%$ of sampling error. The analysis lists of drivers' attitude are usage of traffic information, awareness about information dissemination devices, and awareness about traffic control information related to LCS or RWIS. The results of this study is that drivers want pre-trip information, voice-based Hi-pass OBU, and fast incident management. According to the IPA, KEC's main consideration is a traffic flow improvement.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.6
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• pp.992-1001
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• 2022

The maritime traffic analysis has been conducted in various ways to solve problems arising from the complex marine environment. However, recent trends in the maritime industry, such as the development of the maritime autonomous surface ships (MASS), suggest that maritime traf ic analysis needs change. Accordingly, based on the studies conducted over the past decade for improvements, automatic identification system (AIS) data is mainly used for maritime traffic analysis. Moreover, the use of geographic information that directly af ects ship operation is relatively insufficient. Therefore, this study presented a method of using a combination of shape format data and AIS data to enhance maritime traffic analysis in preparation for the commercialization of autonomous ships. Consequently, extractable marine traffic characteristics were presented when shape format data were used for marine traffic analysis. This is expected to be used for marine traffic analysis for the introduction of autonomous ships in the future.

• Journal of Korean Library and Information Science Society
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• v.51 no.4
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• pp.101-119
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• 2020

The study aims to understand major topics and concerns of gender identity-related questions expressed by the users of the NAVER social Q&A site. To achieve this goal, we analyzed 2,120 questions created from 2010 to 2018 using natural language- and information retrieval-based methods. Results indicated that the major topics discussed by the users include interpersonal relationships, doubts about gender identity, sexual orientation, feelings and relationships, and concerns about gender identity. In addition, users mainly expressed concerns regarding general issues of gender identity; sexual orientation; negative cognition about gender identity; confession, coming-out, homosexuality; future, heterosexual relationships, military enlistment; and causes of gender identity confusion. The present study effectively derives information needs from real-world concerns about sexual identity by employing topic modeling techniques, and by comparing the advantages of exact match and tf-idf-based information retrieval methods extends methodology of Library and Information Science. Further, it has contributed to the academic maturity of the study of information behavior by observing the information needs or information-seeking behaviors of online community users with specific interests.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.5
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• pp.61-76
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• 2018

Everything is coming into the world of network where modern people are living. The Internet of Things that attach sensors to objects allows real-time data transfer to and from the network. Mobile devices, essential for modern humans, play an important role in keeping all traces of everyday life in real time. Through the social network services, information acquisition activities and communication activities are left in a huge network in real time. From the business point of view, customer needs analysis begins with SNS data. In this research, we want to build an automatic collection system of SNS contents of web environment in real time using Python. We want to help customers' needs analysis through the typical data collection system of Instagram, Twitter, and YouTube, which has a large number of users worldwide. It is stored in database through the exploitation process and NLP process by using the virtual web browser in the Python web server environment. According to the results of this study, we want to conduct service through the site, the desired data is automatically collected by the search function and the netizen's response can be confirmed in real time. Through time series data analysis. Also, since the search was performed within 5 seconds of the execution result, the advantage of the proposed algorithm is confirmed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.133-144
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• 2019

The purpose of this study is to analyze the difference in perceptions of job applicants on core competency in the recruitment environment based on National Competence Standards(NCS), and also to obtain information relating to the seeking of employment and employment education plans. A survey and paired t-test were conducted on 355 job applicants of vocational colleges and four-year universities. Through these applicants, the difference between the current level and level of importance dependent on areas of core competency was analyzed. In addition, IPA analysis was conducted in order to confirm the educational necessity in this area. As a result, there were significant differences between the current level and level of importance in all 10 areas. IPA analysis confirmed that educational needs are prioritized. As a result, it was found that the areas which should be strengthened in both groups were interpersonal ability, communication ability, numerical ability, problem solving ability, and self-development ability. The area recognized as being in 'a state of excess' was resource management ability. As a result of checking the necessity levels of the two groups, it was found that job applicants of vocational colleges had to strengthen their problem solving ability, and the applicants of four-year universities had to intensify their communication ability, interpersonal ability, and information ability.

• Journal of the Korean Institute of Navigation
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• v.12 no.1
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• pp.113-136
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• 1988

Decision Science or Decision Analysis can be described as a scientific methodolog to provide suitable quantitative information for the decision maker to be able to selected the best feasible alternative on the given decision environment and thus we can say that where there are decision problems, there needs the decision analysis to be applied to them. International shipping is generally said to be the cheapest and most widely used means of transport in international trade and each of the hundreds of seaport. So far as the decision makings in the shipping and port transportation are concerned, of real importance is to understand what the decision problems in each of shipping and port transportation really are and to recognize the meaning of relevance between shipping and seaport in the outworn phrase, that is to say, "The chain is as strong as its weakest link." This paper is intended to present a literature survey on the applied decision analysis to shipping and port transportation problems which have actually been involved in the wide variety of decision environment. At first, the author suggests four divisional framework such as decision analysis in each field of Shipping Economics, Management and Operations of Shipping, Port Economics, and Port Operation and Management, according to the main concern of the decision environment, and then the literature surveys on those four major divisions are described including the problems and solution approaches in each case. The author concludes the paper with the comment on the need of joint research around this area by citing the phrase of "a process of updating the decision makers' intuitions."s' intuitions."quot;

• Journal of Convergence for Information Technology
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• v.8 no.5
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• pp.229-236
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• 2018

In the past, technology commercialization was implemented in a narrow sense, such as technology transfer or start-up support. It has been pointed out that lack of entrepreneurial experience, failure in technology development, and insecure markets lead to failure of technology commercialization. The project supporting direct commercialization of technologies owned by academic and research institutes conjoins public funds and operating power of large enterprises to introduce a new technology commercialization model that combines commercialization technology with capital, market, and government policies. And pain points for direct commercializing technology was derived. Through research and analysis, a gap was found between the demand factors and the capability of the actors performing the technology commercialization, and it showed a significant correlation with the paint points. In consequence, measures were drawn to improve support policies to enhance the efficiency of commercialization of technologies held by universities and research institutes.