• Journal of Internet of Things and Convergence
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• 제7권3호
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• pp.1-8
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• 2021

With the rapid increase in the use of IoT and mobile devices, cyber criminals targeting IoT devices are also on the rise. Among IoT devices, when using a wireless access point (AP), problems such as packets being exposed to the outside due to their own security vulnerabilities or easily infected with malicious codes such as bots, causing DDoS attack traffic, are being discovered. Therefore, in this study, in order to actively respond to cyber attacks targeting IoT devices that are rapidly increasing in recent years, we proposed a method to collect traces of intrusion incidents artifacts from IoT devices, and to improve the validity of intrusion analysis data. Specifically, we presented a method to acquire and analyze digital forensics artifacts in the compromised system after identifying the causes of vulnerabilities by reproducing the behavior of the sample IoT malware. Accordingly, it is expected that it will be possible to establish a system that can efficiently detect intrusion incidents on targeting large-scale IoT devices.

• Journal of Digital Convergence
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• 제17권2호
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• pp.19-29
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• 2019

This is an empirical study that examines the effect of the self-sufficiency case management, on the emotional self-sufficiency of the self-sufficiency program participants. To this end, it created self-sufficiency case management evaluation scale utilizing confirmatory factor analysis. Then a face-to-face questionnaire survey was conducted for 142 self-sufficiency program participants in Chuncheon local self-sufficiency center. The results show that the self-sufficiency case management, more specifically, the social support network components significantly affect the emotional self-sufficiency. The findings of this study not only provide empirical evidence of the effectiveness of self-sufficiency case management but raises the need for the expansion of social network type of self-sufficiency case management.

• Journal of Digital Convergence
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• 제17권6호
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• pp.315-326
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• 2019

This study is a review of research articles on the characteristics of probiotics. Probiotics are effective at ameliorating immune disease, alleviating glucose intolerance, and improving constipation and diarrhea. Furthermore, they have anticancer and antitumor effects, preventive effects against cardiovascular disease, antidiabetic effects, antioxidant effects, antibacterial effects, and they produce useful metabolites. It has been demonstrated that oral probiotics are effective in eliminating halitosis and forming a favorable oral ecosystem, by creating an environment that is not readily inhabited by harmful bacteria, such as Streptococcus mutans, which produces lactic acid and causes tooth decay, or Porphyromonas gingivalis, which causes gum disease.As a result, oral probiotics are being considered not only as therapeutics against diseases, but also as preventive agents for the maintenance of a healthy oral balance. In spite of some limitations, clinical trials are currently underway, and this study can provide evidence to support the use of probiotics to improve oral health conditions, including dental caries, periodontal disease, and Candida colonization.

• Journal of Digital Convergence
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• 제17권7호
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• pp.35-41
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• 2019

This study aims to analyze the cosmedical cosmetics market and the nature of customer through the social big data analysis. More than 80,000 posts were analyzed using R program. After data cleansing, keyword frequency analysis and association analysis were performed to understand customer needs and competitor positioning, formulated several implications for marketing strategy sophistication and implementation. Analysis results show that "prevention" is a new and essential attribute for appealing target customers. The expansion of the product line for the gift market is also suggested. It has been shown that there is a high correlation with products that can be complementary to each other. In addition to the traditional marketing technique, the social big data analysis based on evidence was useful in deriving the characteristics of the customers and the market that had not been identified before. Word2vec algorithm will be beneficial to find additional.

• Journal of Digital Convergence
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• 제17권7호
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• pp.115-124
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• 2019

This study is an empirical study of 'the effect of the key factors of Smart Factory on management performance through internal environmental factors in small and medium enterprises'. The purpose of the research is to verify that the implementation of a Smart Factory affects the performance of management and contribute to the continued development of the company, and to suggest the national policy of expanding the deployment of a Smart Factory. The procedures were surveyed by working-level officials of small and medium-sized manufacturing companies with a Smart Factory and statistically analyzed with the SPSS and SMART PLS. The results of the study showed that first, the environmental factors within the company had a positive effect on the key components of the Smart Factory. Second, the key factor in Smart Factory has had a positive impact on management performance. The above evidence shows that the key factors in smart factory considering the environmental factors of an enterprise affect its management performance, thus laying the theoretical foundation for the performance of smart factory construction. In the future, we will study how to build a Smart Factory.

• Journal of Digital Forensics
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• 제12권3호
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• pp.83-96
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• 2018

Electronic medical records in the hospital information system are the important evidence related to the crime and are subject to search and seizure. In the case of a large general hospital, it is possible to search for seizures through cooperation of the staff, but it is impossible in small hospitals. The investigation agency copies the database of electronic medical records and then selects relevant content. This approach has an issue of excessive search and seizure. In this paper, we propose field selection procedures and methods for electronic medical records while ensuring integrity, reproducibility, and chain of custody. Currently, it is necessary to study the procedures and methods of search and seizure of medical information system so that it can respond to next changing cloud hospital information system.

• Journal of Digital Convergence
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• 제17권7호
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• pp.187-195
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• 2019

The purpose of this study is to identify the relationship between postpartum depression and breast-feeding in puerperium mothers to practice healthy breast-feeding. Puerperium mothers at postnatal care center completed an anonymous survey. Postpartum depression severity was observed at ($x^2=19.556$, p = 0.000). Postpartum depression was found to negatively affect healthy breast-feeding at a rate of Exp (B) = 0.887, p = 0.014. Puerperium mothers' postpartum depression has shown significant effect on breast-feeding practice, thus, when postpartum depression rate decrease, regular breast-feeding practice rate increased. Despite lacking robust statistical evidence, these results indicate that postpartum depression leads to bottle-feeding.

• International Journal of Internet, Broadcasting and Communication
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• 제13권3호
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• pp.178-192
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• 2021

File system forensics typically focus on the contents or timestamps of a file, and it is common to work around file/directory centers. But to recover a deleted file on the disk or use a carving technique to find and connect partial missing content, the evidence must be analyzed using cluster-centered analysis. Forensics tools such as EnCase, TSK, and X-ways, provide a basic ability to get information about disk clusters, but these are not the core functions of the tools. Alternatively, Sysinternals' DiskView tool provides a more intuitive visualization function, which makes it easier to obtain information around disk clusters. In addition, most current tools are for Windows. There are very few forensic analysis tools for MacOS, and furthermore, cluster analysis tools are very rare. In this paper, we developed a tool named FACT (Forensic Analyzer based Cluster Information Tool) for analyzing the state of clusters in a HFS+ file system, for digital forensics. The FACT consists of three features, a Cluster based analysis, B-tree based analysis, and Directory based analysis. The Cluster based analysis is the main feature, and was basically developed for cluster analysis. The FACT tool's cluster visualization feature plays a central role. The FACT tool was programmed in two programming languages, C/C++ and Python. The core part for analyzing the HFS+ filesystem was programmed in C/C++ and the visualization part is implemented using the Python Tkinter library. The features in this study will evolve into key forensics tools for use in MacOS, and by providing additional GUI capabilities can be very important for cluster-centric forensics analysis.

• Journal of the Korean Society of Physical Medicine
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• 제16권3호
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• pp.81-87
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• 2021

PURPOSE: This study compared the cross-sectional areas (CSA) of the cervical muscles of straight neck patients and normal participants during a craniocervical flexion exercise (CCFE) using computerized tomography (CT) to investigate the effects of CCFE on the cervical curve. METHODS: Eighteen subjects were recruited for this study. Nine subjects were allocated to the straight neck group (subjects with pain and a cervical lordosis angle of less than 20°); the remainder formed the control group (subjects with a cervical lordosis angle greater than 20°). The CSA of the subjects' neck flexors (longus colli, longus capitis, and sternocleidomastoid) were measured by CT during rest and CCFE in the supine position, and the range of motion (ROM) of neck flexion was measured using a C-ROM instrument in a sitting. RESULTS: The straight neck group had a significantly smaller CSA of the longus colli, longus capitis, and sternocleidomastoid than the control group (p < .05). Both the straight neck and control groups showed statistically significant increases in the CSA of the neck flexors during CCFE compared to that at rest (p < .05). In addition, the straight neck group showed a significantly smaller ROM of neck flexion than the control group (p < .05). CONCLUSION: The results of this study provide more concrete evidence for therapists by demonstrating that CCFE improves the neck function by strengthening the neck flexors and increasing the neck stability for straight neck patients. Therefore, it is necessary to perform CCFE and neck extension exercises to rehabilitate straight neck patients.

• Journal of Digital Convergence
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• 제20권2호
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• pp.37-45
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• 2022

The purpose of this study is to determine social values of self-support enterprises, known as the origin of social economy by using a qualitative research method. Main themes representing social values of self-support enterprises were developed through four sessions of FGI and thematic analysis. First, self-support enterprises embody the value of 'social safety net' by providing workfare for disadvantaged people as well as by operating market-oriented business. Additionally, 'communal spirit', for which self-support enterprises strive, is social value that enables the entirety of self-support enterprises and participants to fulfill non-profit values, reciprocity, and sharing. Lastly, ontological, diachronic, and ecological 'sustainability' of self-support enterprises is a foundational element which creates continuous positive impact on our society. Findings of this study are significant to provide theoretical and empirical evidence for preservation and development of the social economy ecosystem. Based on this, further researches on comprehensive social economy are suggested.