• Journal of Internet of Things and Convergence
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• v.9 no.3
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• pp.7-12
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• 2023

One of the most important characteristics of digital forensics is integrity. Integrity means that the data has not been tampered with. If evidence is collected during digital forensic and later tampered with, it cannot be used as evidence. With analog evidence, it's easy to see if it's been tampered with, for example, by taking a picture of it. However, the data on the storage media, or digital evidence, is invisible, so it is difficult to tell if it has been tampered with. Therefore, hash values are used to prove that the evidence data has not been tampered with during the process of collecting evidence and submitting it to the court. The hash value is collected from the stored data during the evidence collection phase. However, due to the internal behavior of NAND flash memory, the physical data shape may change over time from the acquisition phase. In this paper, we study the characteristics and techniques of flash memory that can cause the physical shape of flash memory to change even if no intentional data corruption is attempted.

• Journal of the Korean Chemical Society
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• v.64 no.1
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• pp.38-48
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• 2020

The purpose of this study was to analysis characteristics and changes of epistemic thinking in middle school students on class-argument activities in an argument-based inquiry(ABI) science class. Data was collected from class recording video and activity worksheets of five subjects argument-based inquiry. Results of the analysis of student epistemic cognition characteristics show that experimental data was presented the most as evidence, and depending on the ABI activity, personal experience-based evidence and evidence based on scientific principles were used. As a result of analyzing the changes between claims made before and after class argumentations on five ABI activities in an argument-based inquiry science class, student claim modifications could be classified, according to reasons for the modification, into three types: correcting incorrect claims, clarifying unclear content, and expanding the concept.

• Korean Journal of Logic
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• v.18 no.2
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• pp.167-195
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• 2015

This paper aims to respond to Weisberg's claim that the standard Bayesian epistemology cannot model an agent's belief updating that is triggered by some undermining evidence. Our epistemological intuition seems to require that the undermining evidence decreases some particular relevant credences. According to Weisberg, however, such a belief change cannot result from the standard Bayesian belief updating rules-i.e., (Jeffrey) Conditionalization. This is because probabilistic independence between some propositions is preserved under (Jeffrey) Conditionalization on the relevant evidence. Yet I will show in this paper that this conclusion is somewhat hasty. In particular, I will show that there is another version of Conditionalization and that when one updates her credences by means of such a version, the belief updating originated in undermining evidence can be well modeled in the Bayesian framework. Some authors often call the version Higher Order Conditionalization.

• Review of KIISC
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• v.18 no.1
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• pp.49-61
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• 2008

최근 소송에서의 디지털 증거의 비중과 수사과정에서의 디지털 포렌식의 중요성과 관심이 높아지고 있으며, 미국을 포함한 여러 국가들은 이러한 추세를 반영하여 효과적인 디지털 증거 수집과 분석을 위한 법제들을 마련하고 있는 상황이다. 국내의 경우도 디지털 포렌식 기술에 대한 관심과 실제 사건해결에 있어서의 이용도가 높아지고 있음에도 아직까지 관련 법제들은 미비한 상황이다. 본고에서는 먼저 '국가 디지털 포렌식 법률 체계'를 제시하고 각각의 구성요소들에 대해 살펴 본 후, 국가 디지털 포렌식 법률 체계에 기반하여 미국의 법제 현황과 국내 법제 현황을 비교한다. 또한 디지털 포렌식 수행 절차에 따른 법적 요구사항들을 정의해보고, 국가 디지털 포렌식 법률 체계 완성을 위한 추진방안을 제시한다. 마지막으로 효과적인 디지털 증거의 수집 분석과 디지털 포렌식 기술 활성화를 위해 국내 법제들이 나아가야 할 방향과 추진방법을 제시한다.

• Journal of Korea Multimedia Society
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• v.10 no.3
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• pp.365-372
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• 2007

The information of world is most likely to be created as digital data. These digital productions need some legal protection mechanisms or techniques because users can illegally use them. Thus many researchers are developing various techniques. Currently most techniques are focusing on the physical and chemical methods like disk inspection for taking legal evidence about production infringement. This paper has developed a computer forensics-based copyrights protection system capable of detecting and notifying disobedience facts when user uses illegally a production. Furthermore if the user infringes continually the production the system stores the infringement facts to take the legal evidence by mapping to law for intellectual property right. The technique can protect data from digital evidence manipulation or destruction.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.457-460
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• 2014

클라우드 컴퓨팅은 IT 자원의 효율적인 관리와 비용 대비 양질의 서비스 제공을 위한 새로운 패러다임으로써, 국내외의 기업뿐만 아니라 많은 사용자들에게 주목 받고 있다. 하지만 관련 시장의 빠른 성장과 함께 다양한 사이버 범죄에 노출될 수 있는 위험이 높아졌음에도 불구하고, 클라우드 컴퓨팅에 대한 디지털 포렌식은 실질적인 역할을 수행하기에 아직 미비한 실정이다. 클라우드 컴퓨팅은 증거 데이터가 물리적으로 분산되어 있고, 자원이 가상공간에 존재할 수 있기 때문에 기존의 디지털 포렌식 수사와는 다르게 접근해야 한다. 이에, 본 논문에서는 추상화된 클라우드 계층에 따른 기존 포렌식 절차 상의 데이터 수집 방법에 관한 한계를 분석하고, 확보한 증거 데이터의 신뢰성 보장 및 다양한 클라우드 환경에 보다 유연하게 적용할 수 있는 디지털 증거 수집 절차를 제안한다. 해당 절차는 클라우드 구성 요소들 중 물리적인 자원들을 가상화하여 논리적으로 구성할 수 있도록 하며, 가상화된 자원들을 서비스 목적에 따라 폭넓게 활용할 수 있도록 관리 체계를 제공해주는 클라우드 플랫폼을 기반으로 한다.

• Journal of KIISE:Software and Applications
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• v.34 no.6
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• pp.549-561
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• 2007

Vision-based scene understanding is to infer and interpret the context of a scene based on the evidences by analyzing the images. A probabilistic approach using Bayesian networks is actively researched, which is favorable for modeling and inferencing cause-and-effects. However, it is difficult to gather meaningful evidences sufficiently and design the model by human because the real situations are dynamic and uncertain. In this paper, we propose a learning method of Bayesian network that reduces the computational complexity and enhances the accuracy by searching an efficient BN structure in spite of insufficient evidences and training data. This method represents the domain knowledge as ontology and builds an efficient hierarchical BN structure under constraint rules that come from the ontology. To evaluate the proposed method, we have collected 90 images in nine types of circumstances. The result of experiments indicates that the proposed method shows good performance in the uncertain environment in spite of few evidences and it takes less time to learn.

• Journal of Science Education
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• v.42 no.2
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• pp.132-147
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• 2018

The goal of this research is to suggest a theoretical process-centered assessment model based on Learning Progressions of key competencies in the context of STEAM instructions. The "Process-Products Combined Module-type (P2CM) STEAM Assessment Model (P2CM STEAM Assessment Model, hereafter) can be used both as an instructional model and as an assesment model, applicable for various STEAM topics and instructional types. consists of 3 axes. The first X axis stands for 4C competencies that should be emphasized through STEAM instruction. The second Y axis stands for the types and the hierarchy of STEAM instructions. The third Z axis stands for the assessment standards based on LP. We also exemplified an assessment module combined creativity competency with creativity-based instruction based on . Based on the research results, we suggested elaboration of assessment models based on Korean LP research outcomes, development and supply of formative assessment models through field-based in-depth research, modification of formative assessment models with the participation of teacher communities and in-service teachers, and the necessity of further research on assessment models for tracking LP.

• Journal of The Korean Association For Science Education
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• v.35 no.4
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• pp.599-608
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• 2015

This study aims to explore the characteristics of student inquiry found in project-based science practices. The participants were four high school students in a science research club and worked their own project for one semester. During the project, they made their research questions, planned and executed their research procedures, and made their own conclusion. Their activities during the project were videotaped and recorded. They were also interviewed. Group worksheets and written reports were all collected for analyses. The whole processes of the inquiry were analyzed and interpreted qualitatively. The characteristics of student inquiry were presented in the view of the theory-evidence-method coordination. Three different modes of the coordinations that were found recursively in their inquiry were the theory-evidence coordination, the evidence-method coordination, and the theory-evidence-method coordination. It was also revealed that students' tacit knowledge using various tools were exhibited and these skills improved during their group works. The implications for school science inquiry education and research based on this study are discussed.

• 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.