• Journal of Digital Convergence
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• v.18 no.1
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• pp.111-119
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• 2020

This study takes Chinese independent tourists to South Korea as the research object, mines the data of tourists' digital footprints from online travel notes, and analyzes the characteristics of the tourism flow of Chinese independent tourists to South Korea by using the method of quantitative statistics and social network analysis(SNA). The results show that Seoul, Jeju Island, Busan and Daegu are the important tourist destinations for Chinese independent tourists entering South Korea. In addition, Qingdao, Tianjin, Shenyang, Hong Kong, Foshan and Macao are crucial hubs for Chinese independent tourists to visit South Korea. In future studies, the number of sample data should be increased. The time span of data collection should be extended for studying the annual variation characteristics of tourism flow and the trend of tourism hot spots.

• 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.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.27 no.3
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• pp.168-175
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• 2024

Purpose: The presence of alcoholic stool in biliary atresia (BA) patients is the basis of a stool color card (SCC), a screening tool that has led to more patients receiving Kasai portoenterostomy earlier. This study aimed to evaluate the color image processing of stool images captured using smartphones. We propose that measuring digital color parameters is a more objective method for identifying BA stools and may improve the sensitivity of BA screening. Methods: A prospective study was conducted in five hospitals in Thailand between October 1, 2020, and December 31, 2021. Stools from infants presenting with jaundice, acholic stool, or dark-colored urine were photographed. Digital image color analysis was performed, and software was developed based on the color on the original SCC. Sensitivity and specificity for predicting BA stools were compared between the SCC and the software. Results: Of 33 infants eligible for data collection, 19 were diagnosed with BA. Saturation and blue were two potential digital color parameters used to differentiate BA stools. The receiver operating characteristic curve was used to determine the optimum cutoff point of both values, and when saturation ≤56 or blue ≥61 was set as a threshold for detecting BA stool, high accuracy was achieved at 81.8% and 78.8%, respectively. Conclusion: Digital image processing is a promising technology. With appropriate cutoff values of saturation in hue, saturation, value and blue in red, green, blue color models, BA stools can be identified, and equivocal-colored stools of non-BA patients can be differentiated with acceptable accuracy in infants presenting with jaundice.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1377-1383
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• 2015

As the cloud services users' increase, there are important files created by individual in cloud storage. Thus, investigation of cloud artifact should be conducted. There are two methods of analyzing cloud service, one is that investigates cloud server provider (CSP), and another is that investigates client. In this paper, we presents an automated framework to detect the altered artifact and developes a tool that detects the cloud artifact. We also developed Cloud Artifact Tool that can investigate client computer. Cloud Artifact Tool provides feature of collection and analysis for the services such as Google Drive, Dropbox, Evernote, NDrive, DaumCloud, Ucloud, LG Cloud, T Cloud and iCloud.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.15 no.1
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• pp.91-116
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• 2004

This study is carried out as a precedent work for the implementation of an Open Access Initiative(OAI) compatible with Korean libraries. Institutional Repository is a new concept for collecting, managing, disseminating, and preserving scholarly works created in digital form by faculty and researchers in individual organizations according to open access paradigm. This study briefly outlines the need for Institutional Repository, their role, constitutional elements, benefits and drawbacks. This is followed by recent case studies of SHEPRA, Dspace, eDoc Server and dCollection. The conceptual model of Institutional Repository was suggested and the key considerations to be taken into account for the successful implementation of Institutional Repository at the beginning stage were proposed from a stakeholder's perspective.

• Journal of Korean Library and Information Science Society
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• v.43 no.4
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• pp.183-199
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• 2012

This study is to develop an operating model of Conspectus for online resources by using mechanistic quality factor. Based on some empirical statistics about resource use behaviour such as collection rate, use rate, search rate, the mechanistic quality factor was calculated and applied to each subject by adjusting its acquisition level of Conspectus. according to the result of this study, Acqusition levels of the subject such as technical science which shows higher in use rate, and those such as history and social science which show higher in search rate, should be adjusted to a higher acquisition level, and those of others to the same or a lower level.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.3
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• pp.151-172
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• 2001

Today, as we are going into digital information environment along with the development of information technology, there are changes in the style of information users. In particular. with the help of computer users can more easily access the original texts and approach to information providers than ever. At the same time, we are trying to use more efficiently some specialized contents in the web-pages. Contrary to traditional mediation-centered collection management, we start realizing that we are expected to bind selected contents with users who search these ones. In this study, I examined problems on collection management and proposed a more advanced content management skill as a solution for those problems. According to on-site questionnaires, The Main factors of user-centered content management are user factors, intermediary factors, and service ones.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.269-272
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• 2011

The lawsuit is being made on the smart phone. And recent is getting a lot of evidence for the smart phone data in a court of law. Thus, the evidence of illegal use smartphone for the extraction of data and evidence collection, forensic procedure is a need for research. In this paper, evidence of phone forensic procedure for the extraction of the data suggests. And, by collecting forensic evidence from smartphones ensure the integrity of digital evidence and how to solve the case investigated. With this study, smartphone forensic will be able to contribute to the development.

• The Korean Journal of Health Service Management
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• v.13 no.4
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• pp.33-44
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• 2019

Objectives: This study aimed to analyze the papers on nursing in the KJHSM (Korean Journal of Health Service Management) (2007-2018), to identify the research trends and to help the future development of nursing research. Methods: The data collection was carried out from September 1, 2019 to September 30, 2019. The 78 copies of the original text were provided by the KSHSM website, DBpia, and NDSL (National Digital Science Library) electronic database. Results: Forty-seven studies had a non-experimental design, with most having a descriptive research design (89.3%). The most common participants were nurses (55.7%) and nursing college students (26.1%). A questionnaire was the most commonly used research tools (96.2%) and data collection methods (95.0%). The major keywords were the terms included in the environmental domain among the meta-paradigms of nursing (43.6%). Conclusions: In order to expand the quantity and quality of nursing science in the KSHSM, efforts are needed to improve the quality of research participants, research tools, and sampling methods.

• Journal of Information Science Theory and Practice
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• v.7 no.2
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• pp.23-31
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• 2019

We report results of selection-bias-free approaches to the analysis of the impact of open access (OA) models on citation metrics. We studied reference groups of Gold and Green OA articles and the group of non-OA (Paywall) articles with the new functionality of the Web of Science Core Collection database, the InCites platform of Clarivate Analytics, and the Dimensions database of Digital Science. For each reference group we obtained the values of the percent of cited articles and citation impact and their dependence on the depth of the citation period. Different research fields were analyzed in two schemas of the InCites platform. We report the higher values and growth rates of the citation metrics: citation impact and %Cited, in the OA reference groups over the Paywall group. The Green OA articles demonstrate the highest values of citation metrics among all the OA models. Dependence of the value of citation impact on citation period follows linear law with R2 values close to 0.9-1.0. The overall annual growth rates of citation impact of the Green OA, Gold OA, and the Paywall articles, k equal, respectively, 3.6, 2.4, and 1.4 in Dimensions and 4.6, 3.6, and 2.3 in the Web of Science Core Collection. We suppose that earlier results reported for the articles in pure OA journals vs. articles in Paywall journals were affected by the high citation impact of the Green and Hybrid OA articles that could not be elucidated in the Paywall journals at that time.