• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.3
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• pp.801-825
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• 2024

For Internet of Things, it is more preferred to have immediate access to environment information from sensor nodes (SNs) rather than from gateway nodes (GWNs). To fulfill the goal, mutual authentication scheme between user and SNs with session key (SK) negotiation is more suitable. However, this is a challenging task due to the constrained power, computation, communication and storage resources of SNs. Though lots of authentication schemes with SK negotiation have been designed to deal with it, they are still insufficiently secure and/or efficient, and some even have serious vulnerabilities. Therefore, we design an efficient secure authentication scheme with session key negotiation (eSAS2KN) for wireless sensor networks (WSNs) utilizing fuzzy extractor technique, hash function and bitwise exclusive-or lightweight operations. In the eSAS2KN, user and SNs are mutually authenticated with anonymity, and an SK is negotiated for their direct and instant communications subsequently. To prove the security of eSAS2KN, we give detailed informal security analysis, carry out logical verification by applying BAN logic, present formal security proof by employing Real-Or-Random (ROR) model, and implement formal security verification by using AVISPA tool. Finally, computation and communication costs comparison show the eSAS2kN is more efficient and secure for practical application.

• Journal of The Korean Association For Science Education
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• v.35 no.4
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• pp.751-772
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• 2015

Valid and effective science education would require research-based decisions on multiple aspects of science education including policy decisions, science curriculum development, designing teaching resources and methods. However, this has not been the case. In order to provide a research base for science education practices and policy-making, this study reviewed research articles published in major science education research journals in South Korea in the last ten years. The analysis was focused on 8 areas including student conceptions, student thinking, inquiry, affective domain, student ideas about science, science curriculum, students' learning and classroom activity, and student learning in informal settings. General research trends found include: First, science education research conducted for the past decade focused on a certain limited topics/areas. Second, research participants were also limited to certain grade levels or types of students. Third, rather than examining developmental processes descriptive research was prevalent. Fourth, there was a lack of research on developing new areas of study or research on generation of new perspectives, theories or tools. Fifth, many studies were related to school science learning while relatively less studies were about other areas that would impact students' future. Based on the results, we suggest several implications for science curriculum development, policy development, science teaching and learning resources, and others.

• Journal of the Korean earth science society
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• v.34 no.3
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• pp.257-273
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• 2013

The purpose of this study was to describe how one woman became a science docent's exper and how she developed expertise in her field of work as a docent in science museum. A life history approach, one of the qualitative research methods was employed in this study. A docent Ms. Park, had her career as a docent for eight years and she was selected through the procedures as follows. The $1^{st}$ phase of selection, the researcher contacted 56 docents who were working using a convenience sampling method. In the $2^{nd}$ phase of selection, 11 of them were then selected on purpose for further study. Finally docent Paek was selected as a case for this study on the basis of her responses to survey questions and interviews as well as her willingness to participate. Research data were collected through mainly interviews, participant observations, and docents' artifacts. We analyzed data to reveal Ms-Park's life history of how she became a docent, how her work was as a docent, and what efforts she made to become an expert as a docent of science museum. Findings are as follows. First, docent Park demonstrated strong educational beliefs that influenced her field work, as the beliefs have continuously been formed throughout her life experiences. Second, she acquired and organized her practical knowledge of exhibit interpretation through real activities and experiences interacting whith visitors and demonstrating exhibits in science museums. Third, docent Park showed her ability to make full use of surroundings and resources available for developing her expertise on exhibit interpretation more effectively. With these findings in mind, we suggest that a well established docent system as well as its operation, and physical support be needed for increased docents' expertise and meaningful education in science museum.

• Journal of Engineering Education Research
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• v.18 no.3
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• pp.46-58
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• 2015

Informal engineering education program for high school students was developed to cultivate engineering literacy using the human resources and facilities of university. Plant factory, a smart farming technology, was selected as a main theme, and the novel engineering camp program involving engineering design activities and intra-linter-team works was planned. The camp program was applied to 38 high school students in an active learning classroom. Five teams were constructed according to elemental technologies such as biotechnology, information-communication technology, energy engineering, mechanical engineering and architectural engineering, and the students were participated in intra- and inter-team activities to achieve the final goal of 'the construction of a plant factory in school'. The team works were conducted according to the eight steps of engineering design process (identifying the problem and need, identifying criteria and constraints, brainstorming possible solutions, selecting the best possible solution, constructing a prototype, testing and evaluating the solution, communicating the solution, and refining design). Participants' satisfaction survey showed that the satisfaction on the contents of engineering design was 4.48 on 5-point Likert scale. The participants' satisfaction on creative activity and systematic methodology was 4.43 on 5-point Likert scale. 97% of participants responded positively to team works, and 92% of participants were satisfied with career mentoring activity supplied by undergraduate/graduate students. These results indicates that the engineering camp program involving engineering design activity and intra-/inter-team works can contribute to cultivate engineering literacy such as creativity, problem solving ability, collaboration, communication skills for high school students, and to increase their interests in engineering fields.

• Journal of the Korean Society for information Management
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• v.3 no.2
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• pp.42-74
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• 1986

The objective of the study is to search for a theoretical and practical solution for the question "what is the most effective and Qualitative method of information service for the college and university libraries in Korea." Assuming the maximum service, or total service theory in information services, it needs the subject specialist who has highly qualified in his subject. This research adapted the survey method by questionnaire to the reference/information librarian who worked in college and university libraries, 159 librarians returned the questionnaires. By the analysis of this questionnaires, the following major results were found: 1. There were only 7.6% who could be called as subject specialist in Korean college and university libraries. 2. The subject specialist system is necessary to enhance the Information services in college and university libraries. 3. The major functions of subject specialists are information services In given subject fields; to prepare the bibliographies, guides, reading lists, indexes and abstracts; distribution of information and current awareness services; well balanced collection developments; liaison function between academic departments, students and faculty members; formal and informal lecture on the use of the library and the resources; and the cataloging and classification. 4. The best library and information education system is the graduate level study which is offering the M.L.S. or M.S. of library and information science with the emphasis on the study of subject background. 5. They will establish the faculty status for academic librarian by the development of subject specialist system in college and university libraries in Korea.

• Korea and Global Affairs
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• v.2 no.1
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• pp.113-136
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• 2018

The purpose of this study is to start from the recognition of the problem of why the sanctions of the international community could not indicate a great effect. In order to find answers to this question, this study focuses on China's aid to North Korea and analyzes the determinants of support for North Korea. Despite a tough international community's sanctions against North Korea, China has taken a dual stance on sanctions and support for North Korea. As for this dual attitude of China, this study approaches the internal and external situation of the support to the North with the rationale for the Two-level game theory. China's sanction against North Korea could be divided into two categories: external factors and domestic factors. These factors include strengthening supremacy in China, checking the US, playing a responsible role in China, securing resources in North Korea, sustaining stable growth in China, maintaining the legitimacy of China's socialist political system, and spreading the Beijing consensus. Based on the analysis of these factors, it could be expected that China's aid for North Korea will be official, informal, or continuous, and it will be difficult for the North to stop supporting North Korea or deteriorating North Korea- China relations.

• Analyses & Alternatives
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• v.5 no.1
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• pp.87-121
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• 2021

Since 2012, Prime Minister Shinzo Abe'sadministration began to promote women's participation and advancement in the workplace and established the Act on the Promotion of Female Participation and Career Advancement in the Workplace (the Act) in 2015. Some criticize this Act as a way to utilize women for economic development and to deal with the shrinking working population. In contrast, others point out that it is a law that can be beneficial for women. As such, this Act serves as an interesting case of a women's policy promoted by a conservative government. This paper's objective is to shed light on if and how women are substantively represented in the Diet members' statements made during the legislative debate of the bill on the Promotion of Female Participation and Career Advancement in the Workplace between 2014 and 2015. This paper asks two research questions. First, based on the mixed evaluation of the Act made in the studies about the Abe administration's women's policies, this research asks if the Diet members speak of women as resources to use for other economic and social goals or if women are substantively represented. Second, drawing insights from the literature on women's substantive representation, this research asks how Diet members speak for women. Particularly, based on the studies on conservatism and substantive representation of women, this question seeks to determine if Diet members engage in the conservative representation of women, taking women's roles as mothers and wives who provide care for children, husbands, and elders at home for granted. The results of the analysis demonstrate that the number of statements that explicitly claimed to use women was small. Second, while some Diet members of conservative political parties engaged in the conservative representation of women, there were more instances of non-conservative representation, in which a variety of types of women were represented. These findings reveal that even when the conservative government's intention to submit the bill was to utilize women rather than acting for women, Diet members could speak for various types of women and engage in the non-conservative representation of women. The findings also imply the importance of paying attention to formal and informal legislative deliberation rules to figure out how women's substantive representation can occur under a conservative government and in a legislature dominated by conservative parties.

• Asia pacific journal of information systems
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• v.19 no.2
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• pp.1-42
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• 2009

In a knowledge-based society, a firm's intellectual capital represents the wealth of ideas and ability to innovate, which are indispensable elements for the future growth. Therefore, the intellectual capital is evidently recognized as the most valuable asset in the organization. Considered as intangible asset, intellectual capital is the basis based on which firms can foster their sustainable competitive advantage. One of the essential components of the intellectual capital is a social capital, indicating the firm's individual members' ability to build a firm's social networks. As such, social capital is a powerful concept necessary for understanding the emergence, growth, and functioning of network linkages. The more social capital a firm is equipped with, the more successfully it can establish new social networks. By providing a shared context for social interactions, social capital facilitates the creation of new linkages in the organizational setting. This concept of "person-environment fit" has long been prevalent in the management literature. The fit is grounded in the interaction theory of behavior. The interaction perspective has a fairly long theoretical tradition, beginning with proposition that behavior is a function of the person and environment. This view asserts that neither personal characteristics nor the situation alone adequately explains the variance in behavioral and attitudinal variables. Instead, the interaction of personal and situational variables accounts for the greatest variance. Accordingly, the person-environment fit is defined as the degree of congruence or match between personal and situational variables in producing significant selected outcomes. In addition, information systems acceptance factors enable organizations to build large electronic communities with huge knowledge resources. For example, the Intranet helps to build knowledge-based communities, which in turn increases employee communication and collaboration. It is vital since through active communication and collaborative efforts can employees build common basis for shared understandings that evolve into stronger relationships embedded with trust. To this aim, the electronic communication network allows the formation of social network to be more viable to rapid mobilization and assimilation of knowledge assets in the organizations. The purpose of this study is to investigate: (1) the impact of person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) on social capital(network ties, trust, norm, shared language); (2) the impact of information systems acceptance factors(availability, perceived usefulness, perceived ease of use) on social capital; (3) the impact of social capital on personal performance(work performance, work satisfaction); and (4) the mediating role of social capital between person-environment fit and personal performance. In general, social capital is defined as the aggregated actual or collective potential resources which lead to the possession of a durable network. The concept of social capital was originally developed by sociologists for their analysis in social context. Recently, it has become an increasingly popular jargon used in the management literature in describing organizational phenomena outside the realm of transaction costs. Since both environmental factors and information systems acceptance factors affect the network of employee's relationships, this study proposes that these two factors have significant influence on the social capital of employees. The person-environment fit basically refers to the alignment between characteristics of people and their environments, thereby resulting in positive outcomes for both individuals and organizations. In addition, the information systems acceptance factors have rather direct influences on the social network of employees. Based on such theoretical framework, namely person-environment fit and social capital theory, we develop our research model and hypotheses. The results of data analysis, based on 458 employee cases are as follow: Firstly, both person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) and information systems acceptance factors(availability perceived usefulness, perceived ease of use) significantly influence social capital(network ties, norm, shared language). In addition, person-environment fit is a stronger factor influencing social capital than information systems acceptance factors. Secondly, social capital is a significant factor in both work satisfaction and work performance. Finally, social capital partly plays a mediating role between person-environment fit and personal performance. Our findings suggest that it is vital for firms to understand the importance of environmental factors affecting social capital of employees and accordingly identify the importance of information systems acceptance factors in building formal and informal relationships of employees. Firms also need to reflect their recognition of the importance of social capital's mediating role in boosting personal performance. Some limitations arisen in the course of the research and suggestions for future research directions are also discussed.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.43-61
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• 2019

Development of technologies in artificial intelligence has been rapidly increasing with the Fourth Industrial Revolution, and researches related to AI have been actively conducted in a variety of fields such as autonomous vehicles, natural language processing, and robotics. These researches have been focused on solving cognitive problems such as learning and problem solving related to human intelligence from the 1950s. The field of artificial intelligence has achieved more technological advance than ever, due to recent interest in technology and research on various algorithms. The knowledge-based system is a sub-domain of artificial intelligence, and it aims to enable artificial intelligence agents to make decisions by using machine-readable and processible knowledge constructed from complex and informal human knowledge and rules in various fields. A knowledge base is used to optimize information collection, organization, and retrieval, and recently it is used with statistical artificial intelligence such as machine learning. Recently, the purpose of the knowledge base is to express, publish, and share knowledge on the web by describing and connecting web resources such as pages and data. These knowledge bases are used for intelligent processing in various fields of artificial intelligence such as question answering system of the smart speaker. However, building a useful knowledge base is a time-consuming task and still requires a lot of effort of the experts. In recent years, many kinds of research and technologies of knowledge based artificial intelligence use DBpedia that is one of the biggest knowledge base aiming to extract structured content from the various information of Wikipedia. DBpedia contains various information extracted from Wikipedia such as a title, categories, and links, but the most useful knowledge is from infobox of Wikipedia that presents a summary of some unifying aspect created by users. These knowledge are created by the mapping rule between infobox structures and DBpedia ontology schema defined in DBpedia Extraction Framework. In this way, DBpedia can expect high reliability in terms of accuracy of knowledge by using the method of generating knowledge from semi-structured infobox data created by users. However, since only about 50% of all wiki pages contain infobox in Korean Wikipedia, DBpedia has limitations in term of knowledge scalability. This paper proposes a method to extract knowledge from text documents according to the ontology schema using machine learning. In order to demonstrate the appropriateness of this method, we explain a knowledge extraction model according to the DBpedia ontology schema by learning Wikipedia infoboxes. Our knowledge extraction model consists of three steps, document classification as ontology classes, proper sentence classification to extract triples, and value selection and transformation into RDF triple structure. The structure of Wikipedia infobox are defined as infobox templates that provide standardized information across related articles, and DBpedia ontology schema can be mapped these infobox templates. Based on these mapping relations, we classify the input document according to infobox categories which means ontology classes. After determining the classification of the input document, we classify the appropriate sentence according to attributes belonging to the classification. Finally, we extract knowledge from sentences that are classified as appropriate, and we convert knowledge into a form of triples. In order to train models, we generated training data set from Wikipedia dump using a method to add BIO tags to sentences, so we trained about 200 classes and about 2,500 relations for extracting knowledge. Furthermore, we evaluated comparative experiments of CRF and Bi-LSTM-CRF for the knowledge extraction process. Through this proposed process, it is possible to utilize structured knowledge by extracting knowledge according to the ontology schema from text documents. In addition, this methodology can significantly reduce the effort of the experts to construct instances according to the ontology schema.