• The Korean Journal of Archival Studies
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• no.6
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• pp.41-72
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• 2002

Electronic environment affects archival community to a great extent. It redefines virtually every stage of archival management form creation to current and semi-current use, to appraisal, and to preservation of records. Faced with the problems caused by ever increasing electronic records, the community is forced to reconsider traditional concepts, approaches, methodologies, even the basic paradigm embedded in archival theory and practice. The present paper discusses the need to reexamine principles and techniques of archival management in the light of digital environment. It also urges archives and archival institutions, the archival profession, or the archival community at large, to participate in this critical enterprise. Success in this endeavor will, eventually, pave the road toward creating, organizing, providing access to, preserving reliably and authentically electronic records and designing proper system for the societal collective memory in recorded digital information.

• Asia Marketing Journal
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• v.22 no.3
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• pp.87-105
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• 2020

With the development of Information Technology, customers require promptly higher quality products and services. Companies try to make newly digital marketing strategies, but there are no empirical researches on them. This article empirically presents a new perspective that companies can shape the customer decision journey ahead by coordinating customer experience. In this article, based on Elaborated Likelihood Model (ELM) theory, customer experience consists of the emotional or cognitive experience. We surveyed about 200 subjects (N = 217) in their 20s and 30s based on the International Music Industry Association's Music Listening 2019 report, then analyzed four different models (before personalization-cognitive experience, before personalization-emotional experience, after personalization- cognitive experience, after personalization-emotional experience) by JASP and R Studio. We conducted Structural Equation Model (SEM) and paired t-test. Personalization factors are about recommendation systems in Spotify. The results of survey represent that companies can shape the Customer Decision Journey (CDJ) ahead especially through enhance cognitive experience. It empirically proves Elaborated Likelihood Model (ELM). The conclusion can be drawn that 'pulling' customer experience can be a new marketing strategies in the digital era.

• Journal of Information Science Theory and Practice
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• v.11 no.4
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• pp.14-39
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• 2023

Cybercrime is a significant threat to Internet users, involving crimes committed using computers or computer networks. The landscape of cyberspace presents a complex terrain, making the task of tracing the origins of sensitive data a formidable and often elusive endeavor. However, tracing the source of sensitive data in online cyberspace is critically challenging, and detecting cyber-criminals on the other hand remains a time-consuming process, especially in social networks. Cyber-criminals target individuals for financial gain or to cause harm to their assets, resulting in the loss or theft of millions of user data over the past few decades. Forensic professionals play a vital role in conducting successful investigations and acquiring legally acceptable evidence admissible in court proceedings using modern techniques. This study aims to provide an overview of forensic investigation methods for extracting digital evidence from computer systems and mobile devices to combat persistent cybercrime. It also discusses current cybercrime issues and mitigation procedures.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.1
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• pp.119-131
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• 2024

The purpose of this study is to examine the operational performances by the investment level of information security in companies. The theoretical background summarized the meaning of information security, management information security, and network security. The research process was carried out in four stages. As a result of the analysis, the level of information security was classified into four groups, and the difference in operational performance was confirmed. According to the categorical regression analysis of the three dependent variables, independent variables such as network threats, non-network threats, executive information security awareness, industry, organizational size, and information security education all affected information security regulations, in-house information security checks, and information security budget investments. The theoretical implications of this study have contributed to updating the latest information security theory. Practical implications are that rational investments should be made on the level of information security of companies.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.49-59
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• 2012

This study is to explain why internet users are unconcerned with their privacy information. For this purpose, this study focuses on the Nate.com case. Nate.com recently suffered from external intrusion. They announced this fact to their users. However, users did not leave the Nate.com. To explain the reason, this study used a combination of qualitative and quantitative techniques. The grounded theory approach was used to analyze responses to open-ended questions answered by 240 Nate.com users. Using these responses, a survey instrument was developed. Survey results were analyzed using structural equation modeling. The conclusions and implications are discussed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.1
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• pp.213-227
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• 2017

The recent entry into information society as well as the development and universalization of the Internet through rapid development of ICT technology produced a new educational method called PMP learning. PMP learning overcomes restrictions of previous education methods in terms of time and space and allows the learners to customize their learning environments according to their leads, providing voluntary education that centers on the learners. This study aims to verify the causal relationship in academic achievement of PMP learners through the theory of basic psychological desire, learning satisfaction, and learning metastasis. In order to accomplish this, a study model which applies perceived autonomy, perceived competence, and perceived relationship, which are major variables of the theory of basic psychological desire, was presented. For practical verification of the study model, survey analysis was conducted for students of R High School in Hamyang. Through this, the study aims to provide basic materials for improving the academic achievement of learners in PMP learning. It also plans to suggest educational effects that can be obtained by supporting intrinsic motivation of learners.

• Journal of Navigation and Port Research
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• v.35 no.1
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• pp.51-56
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• 2011

In this paper, we presents an algorithm which restores lost data or increases resolution of a DTM(Digital terrain model) using fractal theory. Terrain information(fractal dimension and standard deviation) around the patch to be restored is extracted and then with this information and original data, the elevations of cells are interpolated using the random midpoint displacement method. The results of the proposed algorithm are compared with those of the bilinear and bicubic methods on a fractal terrain map.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.223-229
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• 2014

In an attempt to retrieve useful information for an efficient decision in the large knowledge system, it is generally necessary and important for a refined feature selection. Rough set has difficulty in generating optimal reducts and classifying boundary objects. In this paper, we propose quick reduction algorithm generating optimal features by rough entropy analysis for condition and decision attributes to improve these restrictions. We define a new conditional information entropy for efficient feature extraction and describe procedure of feature selection to classify the significance of features. Through the simulation of 5 datasets from UCI storage, we compare our feature selection approach based on rough set theory with the other selection theories. As the result, our modeling method is more efficient than the previous theories in classification accuracy for feature selection.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.12
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• pp.4934-4949
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• 2015

The unstable characteristic values of communication signals along with the varying SNR (Signal Noise Ratio) environment make it difficult to identify the modulations of signals. Most of relevant literature revolves around signal recognition under stable SNR, and not applicable for signal recognition at varying SNR. To solve the problem, this research developed a novel communication signal recognition algorithm based on Holder coefficient and cloud theory. In this algorithm, the two-dimensional (2D) Holder coefficient characteristics of communication signals were firstly calculated, and then according to the distribution characteristics of Holder coefficient under varying SNR environment, the digital characteristics of cloud model such as expectation, entropy, and hyper entropy are calculated to constitute the three-dimensional (3D) digital cloud characteristics of Holder coefficient value, which aims to improve the recognition rate of the communication signals. Compared with traditional algorithms, the developed algorithm can describe the signals' features more accurately under varying SNR environment. The results from the numerical simulation show that the developed 3D feature extraction algorithm based on Holder coefficient cloud features performs better anti-noise ability, and the classifier based on interval gray relation theory can achieve a recognition rate up to 84.0%, even when the SNR varies from -17dB to -12dB.

• Journal of the Korea Furniture Society
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• v.26 no.4
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• pp.383-391
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• 2015

In recent years the industry has utilized some of the 3D printers in the manufacturing process a trend which spread also a personal desktop 3D printer priced. The 3D printer can create the 3D object by using an ink or a laser instead of the powders, and various liquid plastic material. Properties of 3D printers are liquid, solid, powder and raw materials are also classified as varied. New ideas and processes in the form of designer furniture, becoming increasingly evolved through the development of materials and technologies. Science, art and technology combine to create a new aesthetic for the complex and free binding structure is a combination of design and materials are available in craft and the structure appears not showing. 3D scanning was not simply continue to develop as the production process by a variety of tools and content transformation. Create new mathematical tables and chairs designed by the theory fit the digital age shows a coupling structure with decoration into small pieces. It has created a new craft technique in the digital age.