• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.626-635
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• 2018

To develop prevention messages for increasingly severe adolescent obesity in China. this study tested interaction effects between obesity involvement and message framing, and between obesity involvement and evidence types on obesity prevention attitudes and behavioral intentions. Message framing types are categorized with a gain frame and a loss frame. Evidence types are classified into narratives based on personal experiences and statistics based on objective numerical proofs. Three hundred sixty eight Chinese adolescents participated in the study. Results found that involvement, framing, and evidence types had significant effects on attitudes and behavioral intentions to obesity prevention. Adolescents highly involved in obesity were more likely to show positive attitudes and behavioral intentions when exposed to loss framing and statistical evidence. Those with low involvement showed positive attitudes and behavioral intentions after exposed to gain framing and narratives. Thus, we suggest that loss frames with numerical data should be developed to persuade adolescents with high involvement, and gain frames with narratives should be developed for those with low involvement.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.49-65
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• 2018

The purpose of the research is to identify the effects of brand evidence, brand personality and negative factors on extended brand trust and customer purchase intention in IoT (Internet of Things) service. Negative factors include scarcity marketing and privacy concern. To achieve this objective, we analyzed the 269 respondents who had used Xiaomi products at least more than once. The results of this study are as follows: First, it was found that core service, self-image congruence of brand evidence and brand personality has a positive influence on extended brand trust. But, perceived price of brand evidence is not related to extended brand trust. Secondly, Scarcity marketing influenced extended brand trust. But, Privacy concern is not related to extended brand trust. Consumers did not realize privacy because of technological innovation of IoT. Thus, the research has a different significance from antecedent research.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.310-313
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• 2017

범죄수사 과정에서 많은 양의 데이터를 시간 내에 분석하는 것은 성공적인 포렌식의 필수 요소이다. 컴퓨터와 사람 모두에게 있어, 시간과 자원의 제한은 수사 결과에 부정적인 영향을 가져온다. 그러므로 현재 사용되고 있는 다양한 포렌식 도구에는 시간과 자원의 효율적인 사용이 필요하다. 사례기반추론 및 멀티에이전트 시스템과 같은 인공지능 기반의 도구를 통해 디지털 포렌식 수사를 효과적으로 도울 수 있다. 본 논문에서는 인공지능을 활용한 지능형 포렌식 도구 및 프레임워크를 분석하고, 오늘날의 프레임워크의 한계점과 미래에 관해 논의한다. 인공지능 기반 시스템의 목적은 수사에서의 증거를 포함한 데이터를 분석하고 연관성을 밝힘으로서 포렌식 전문가에게 중요한 단서를 제공하고 직접 분석해야하는 데이터의 양을 줄이는 것에 있다. 이러한 인공지능의 활용은 많은 양의 데이터를 수사할 때 사람이 간과할 수 있는 증거들을 연결시켜주는 데에 큰 도움이 된다.

• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.30-43
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• 2022

In this study, elementary students' science communication competence was investigated based on the grammatical features expressed in their language-use in classroom discourse and science writings. The classes were designed to integrate the evidence-based reasoning framework and traditional learning cycle and were conducted on fifth graders in an elementary school. Eight elementary students' discourse data and writings were analyzed using lexico-grammatical resource analysis, which examined the discourse text's content and logical relations. The results revealed that the student language used in analyzing data, interpreting evidence, or constructing explanations did not precisely conform to the grammatical features in science language use. However, they provided examples of grammatical metaphors by nominalizing observed events in the classroom discourses and those of causal relations in their writings. Thus, elementary students can use science language grammatically from science language-use experiences through listening to a teacher's instructional discourses or recognizing the grammatical structures of science texts in workbooks. The opportunities in which elementary students experience the language-use model in science learning need to be offered to understand the appropriate language use in the epistemic context of evidence-based reasoning and learn literacy skills in science.

• Journal of Korean Library and Information Science Society
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• v.51 no.2
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• pp.319-353
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• 2020

Due to the COVID-19 pandemic, scholars at institutions of higher education around the world are transitioning their teaching, service, and research into online settings; for many this may be a new and challenging experience. While many of the best practices associated with research in traditional or face-to-face settings also apply to research in or via online settings, there are some additional challenges and nuances that researchers must adequately address and plan for due to the affordances and limitations of online settings. This paper discusses the key issues of privacy, informed consent, trust and trustworthiness, and retention through the literature and provides practical recommendations based on evidence and experience from two different online research projects. The reflections on and examples from these two research projects contextualize the above issues and act as evidence to inform research as a practice. The authors hope this evidence and practical guidance may help researchers better prepare for research in a socially distanced world.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.43-55
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• 2020

The purpose of this study was to find ways to impact policies in order to invigorate convergence research as a whole (including science or engineering-based and its humanities-based counterpart), so it can be recognized as the science of its own form. Firstly we looked at the definition of convergence research. Secondly, we looked at the definition of policy and how policies are produced. Lastly, we explored the relationship between convergence research and policy decision making. The current issues faced by the convergence research were the fact that it was largely under-appreciated and inadequately supported both in terms of policy and financial support. In this study, we explore the relationship between research and policy based on a research utilization model, which can be categorized the research and policy relationship into four types. Then we sought for various cases to explore how research can affect policies as scientific evidence; how the technological changes caused by convergence research can be shaped into policies; and then provide insights for what challenges needed to be addressed in order to have a positive impact on the relationship.

• Convergence Security Journal
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• v.8 no.4
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• pp.65-71
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• 2008

According to the capacity of hard disk drive is increasing day by day, the amount of data that forensic investigators should analyze is also increasing. This trend need tremendous time and effort in determining which files are important as evidence on computers. Using the file system APIs provided by Windows system is the easy way to identify those files. This method, however, requires a large amount of time as the number of files increase and changes the access time of files. Moreover, some files cannot be accessed due to the use of operating system. To resolve these problems, forensic analysis should be conducted by using the Master File Table (MFT). In this paper, We implement the file access program which interprets the MFT information in NTFS file system. We also extensibly compare the program with the previous method. Experimental results show that the presented program reduces the file access time then others. As a result, The file access method using MFT information is forensically sound and also alleviates the investigation time.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.287-297
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• 2012

In order to prepare for the introduction of the E-Discovery system from the United States and to cope with some causable changes of legal systems, we propose a general E-Discovery process and essential tasks of the each phase. The proposed process model is designed by the analysis of well-known projects such as EDRM, The Sedona Conference, which are advanced research for the standardization of E-Discovery task procedures and for the supply of guidelines to hands-on workers. In addition, Machine Learning Algorithms, Open-source libraries for the Information Retrieval and Distributed Processing technologies based on the Hadoop for big data are introduced and its application methods on the E-Discovery work scenario are proposed. All this information will be useful to vendors or people willing to develop the E-Discovery service solution. Also, it is very helpful to company owners willing to rebuild their business process and it enables people who are about to face a major lawsuit to handle a situation effectively.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.1
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• pp.167-175
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• 2011

As recent emergence of smart phones, mobile services are growing in various forms. Many companies released smart phones of various operating systems such as Window Mobile, Android and iOS. Currently, most popular smart phone operating systems are Android and iOS. Due to the various features of these smart phone, they can be employed to various crimes. From the point of view of digital forensics, this paper analyzes the evidence data which needs to be collected in the smart phone, and implements the evidence analysis tool. By using this tool, it can reduce the time and effort for collecting and analyzing the evidence of the smart phone.

• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.93-105
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• 2022

This study investigated the aspects of how three preservice elementary school teachers conducted the data-text transforming discourses in their science simulation teaching and how their epistemological conversations worked for learners' construction of scientific knowledge. Three preservice teachers, who had presented simulation teaching on the seasonal change of constellations, participated in the study. The results revealed that one preservice teacher, who had implemented the transforming discourses of data-to-evidence and model-to-explanation, appeared to facilitate learners' knowledge construction. The other two preservice teachers had difficulty helping learners construct science knowledge due to their lack of transforming discourses. What we should consider for improving preservice elementary school teachers' teaching competencies was discussed based on a detailed comparison of three cases of preservice teachers' data-text transforming.