• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.687-692
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• 2024

The energy crisis is emerging as a serious problem around the world. In the case of Korea, there is great interest in energy efficiency research related to industrial complexes, which use more than 53% of total energy and account for more than 45% of greenhouse gas emissions in Korea. One of the studies is a study on saving energy through sharing facilities between factories using the same utility in an industrial complex called a virtual energy network plant and through transactions between energy producing and demand factories. In such energy-saving research, data collection is very important because there are various uses for data, such as analysis and prediction. However, existing systems had several shortcomings in reliably collecting time series data. In this study, we propose an intelligent IIoT platform to improve it. The intelligent IIoT platform includes a preprocessing system to identify abnormal data and process it in a timely manner, classifies abnormal and missing data, and presents interpolation techniques to maintain stable time series data. Additionally, time series data collection is streamlined through database optimization. This paper contributes to increasing data usability in the industrial environment through stable data collection and rapid problem response, and contributes to reducing the burden of data collection and optimizing monitoring load by introducing a variety of chatbot notification systems.

• IMMUNE NETWORK
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• v.24 no.3
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• pp.15.1-15.18
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• 2024

Osteoarthritis (OA) involves cartilage degeneration, thereby causing inflammation and pain. Cardiovascular diseases, such as dyslipidemia, are risk factors for OA; however, the mechanism is unclear. We investigated the effect of dyslipidemia on the development of OA. Treatment of cartilage cells with low-density lipoprotein (LDL) enhanced abnormal autophagy but suppressed normal autophagy and reduced the activity of transcription factor EB (TFEB), which is important for the function of lysosomes. Treatment of LDL-exposed chondrocytes with rapamycin, which activates TFEB, restored normal autophagy. Also, LDL enhanced the inflammatory death of chondrocytes, an effect reversed by rapamycin. In an animal model of hyperlipidemia-associated OA, dyslipidemia accelerated the development of OA, an effect reversed by treatment with a statin, an anti-dyslipidemia drug, or rapamycin, which activates TFEB. Dyslipidemia reduced the autophagic flux and induced necroptosis in the cartilage tissue of patients with OA. The levels of triglycerides, LDL, and total cholesterol were increased in patients with OA compared to those without OA. The C-reactive protein level of patients with dyslipidemia was higher than that of those without dyslipidemia after total knee replacement arthroplasty. In conclusion, oxidized LDL, an important risk factor of dyslipidemia, inhibited the activity of TFEB and reduced the autophagic flux, thereby inducing necroptosis in chondrocytes.

• Therapeutic Science for Rehabilitation
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• v.13 no.3
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• pp.23-36
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• 2024

Objective : This study investigated the mediating effect of social networks on the relationship between social networking service (SNS) dependence and healthy lifestyle among university students. Methods : Data from 374 university students were collected via online surveys. Sociodemographic data, SNS dependence, social networks, and healthy lifestyle were assessed. Mediation analysis using bootstrapping was conducted to examine the mediating effect of social networks on the relationship between SNS dependence and healthy lifestyle. Results : A total of 374 university students participated in this study. The average age of the participants was 21.8 years (standard deviation = 2.1), and 70.3% were females. Mediation analysis revealed that SNS dependence had a direct effect on healthy lifestyle (β = -.078, standard error [SE] = .052, p = .128), which was not statistically significant. However, a statistically significant indirect effect was observed through social networks (β = -.052, SE = .020, p = .011). The total effect of SNS dependence on a healthy lifestyle was significant (β = -.130, SE = .053, p = .014). Conclusion : Social networks play a critical role in promoting a healthy lifestyle. Health professionals should prioritize interventions to address SNS dependence and leverage social networks to encourage healthier behaviors.

• Journal of the Korean Geotechnical Society
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• v.40 no.4
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• pp.69-79
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• 2024

Field geotechnical data are obtained from various field and laboratory tests and are documented in geotechnical investigation reports. For efficient design and construction, digitizing these geotechnical parameters is essential. However, current practices involve manual data entry, which is time-consuming, labor-intensive, and prone to errors. Thus, this study proposes an automatic data extraction method from geotechnical investigation reports using image-based deep learning models and text-mining techniques. A deep-learning-based page classification model and a text-searching algorithm were employed to classify geotechnical investigation report pages with 100% accuracy. Computer vision algorithms were utilized to identify valid data regions within report pages, and text analysis was used to match and extract the corresponding geotechnical data. The proposed model was validated using a dataset of 205 geotechnical investigation reports, achieving an average data extraction accuracy of 93.0%. Finally, a user-interface-based program was developed to enhance the practical application of the extraction model. It allowed users to upload PDF files of geotechnical investigation reports, automatically analyze these reports, and extract and edit data. This approach is expected to improve the efficiency and accuracy of digitizing geotechnical investigation reports and building geotechnical databases.

• Journal of Platform Technology
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• v.12 no.1
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• pp.91-105
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• 2024

As the number of cases of applying IT systems to the existing isolated ICS (Industrial Control System) network environment continues to increase, security threats in the ICS environment have rapidly increased. Security threat scenarios help to design security strategies in cybersecurity training, including analysis, prediction, and response to cyberattacks. For successful cybersecurity training, research is needed to develop valid and reliable security threat scenarios for meaningful training. Therefore, this paper proposes a case-based security threat scenario development methodology for cybersecurity training in the ICS environment. To this end, we develop a methodology consisting of five steps based on analyzing actual cybersecurity incident cases targeting ICS. Threat techniques are standardized in the same form using objective data based on the MITER ATT&CK framework, and then a list of CVEs and CWEs corresponding to the threat technique is identified. Additionally, it analyzes and identifies vulnerable functions in programming used in CWE and ICS assets. Based on the data generated up to the previous stage, develop security threat scenarios for cybersecurity training for new ICS. As a result of verification through a comparative analysis between the proposed methodology and existing research confirmed that the proposed method was more effective than the existing method regarding scenario validity, appropriateness of evidence, and development of various scenarios.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.3
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• pp.131-143
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• 2024

This article examines the cases of archive development by research institutions for overseas Korean studies from the perspective of documenting the locality and explores development plans. The study investigates the impact of the solidarity between overseas Korean studies institutions and Korea-related communities in the region on the expansion of archives and the practice of locality documentation, using the case of the Korean War Archive Collection at the University of Hawai'i at Mānoa Library. For this, it reexamines the implications of locality and locality documentation. In addition, it discusses the methods of Korean studies locality documentation emerging abroad, such as the locality where the two geographical areas of Korea and Hawaii are fused. Since 2023, the University of Hawai'i at Mānoa Library has been forming a network with the Korean War Veterans Association Hawaii Chapter 1 (KWVA) to collect and archive materials related to the Korean War. This is a case where the relationship between the archivists and the donor community has been developed to practice documenting the locality regarding Korean studies abroad. It proposes locality documentation as a way to expand archives in overseas Korean studies institutions that inevitably rely on the collection of records and discusses the importance of solidarity with Korea-related local communities. Finally, it shares the role of the record management subject and the implications found through the case.

• Journal of Microbiology and Biotechnology
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• v.34 no.8
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• pp.1617-1626
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• 2024

Various antibiotic-resistant bacteria (ARB) are known to induce repeated pulmonary infections and increase morbidity and mortality. A thorough knowledge of antibiotic resistance is imperative for clinical practice to treat resistant pulmonary infections. In this study, we used a reads-based method and an assembly-based method according to the metagenomic next-generation sequencing (mNGS) data to reveal the spectra of ARB and corresponding antibiotic resistance genes (ARGs) in samples from patients with pulmonary infections. A total of 151 clinical samples from 144 patients with pulmonary infections were collected for retrospective analysis. The ARB and ARGs detection performance was compared by the reads-based method and assembly-based method with the culture method and antibiotic susceptibility testing (AST), respectively. In addition, ARGs and the attribution relationship of common ARB were analyzed by the two methods. The comparison results showed that the assembly-based method could assist in determining pathogens detected by the reads-based method as true ARB and improve the predictive capabilities (46% > 13%). ARG-ARB network analysis revealed that assembly-based method could promote determining clear ARG-bacteria attribution and 101 ARGs were detected both in two methods. 25 ARB were obtained by both methods, of which the most predominant ARB and its ARGs in the samples of pulmonary infections were Acinetobacter baumannii (ade), Pseudomonas aeruginosa (mex), Klebsiella pneumoniae (emr), and Stenotrophomonas maltophilia (sme). Collectively, our findings demonstrated that the assembly-based method could be a supplement to the reads-based method and uncovered pulmonary infection-associated ARB and ARGs as potential antibiotic treatment targets.

• Resources Recycling
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• v.33 no.4
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• pp.3-14
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• 2024

The preheating and calcination processes in cement manufacturing, which are crucial for producing the cement intermediate product clinker, require a substantial quantity of fossil fuels to generate high-temperature thermal energy. However, owing to the ever-increasing severity of environmental pollution, considerable efforts are being made to reduce carbon emissions from fossil fuels in the cement industry. Several preliminary studies have focused on increasing the usage of alternative fuels like refuse-derived fuel (RDF). Alternative fuels offer several advantages, such as reduced carbon emissions, mitigated generation of nitrogen oxides, and incineration in preheaters and kilns instead of landfilling. However, owing to the diverse compositions of alternative fuels, estimating their calorific value is challenging. This makes it difficult to regulate the preheater stability, thereby limiting the usage of alternative fuels. Therefore, in this study, a model based on deep neural networks is developed to accurately predict the preheater temperature and propose optimal fuel input quantities using explainable artificial intelligence. Utilizing the proposed model in actual preheating process sites resulted in a 5% reduction in fossil fuel usage, 5%p increase in the substitution rate with alternative fuels, and 35% reduction in preheater temperature fluctuations.

• Journal of the International Relations & Interdisciplinary Education
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• v.3 no.2
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• pp.1-27
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• 2023

This study aims to analyze the current situation and problems and explore the development plan of the department of education as a general graduate school at P university. Previous studies dealt with the development plans were reviewed and comprehensive analyses conducted for the department of the general graduate school at P university. Public discussions and debates for the enrolled students in the course of Master and Doctor's degree were held during the semester to achieve the research purpose. The results reached in the study are as follows. First, it is necessary to re-establish the objectives and identities of the department as a general graduate school to share vision with the members. Then, it needs to be considered as the changes of Master and Doctor's course in the academic affairs organization and operation system for the multidisciplinary education problem-solving. Third, it is vital to plan substantial co-work, cooperative instruction and projects for the feasible research and practice. Finally, the open network among the graduate school members and human/physical environments are needed for the higher level of internationalization and effectiveness. The development plan would not be individually pursued but regarded as the organic relations embracing various and influential factors to the system and support of the department. In addition, it is required to make persistent efforts for the personal or communal dimension to develop the department of education as a general graduate school.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.23-28
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• 2024

So far, most of the military trainings were carried out in the field, and were influenced by the various parameters of the weather, the climate and the civil complaints regarding the noise. Also, it's the reality that the considerable time and resources are required to maneuver the weapon system used for the military training. Furthermore, the serious damage and casualties during tha military training are important parameters that can't be ignored. Recently, with the development of 5G communication networks and XR technologies, XR technologies are used in various fields that participate with multilateral parts, i.e. in military technology and training. In this paper, to implement the military education, 5G communication network and military education training system were established. The military education training system were composed that over 10 persons were possible to train in the various circumstances such as counter combat, mountains combat, urban combat and beaches combat. Also it is possible to fight with AI combatants, and train the gun disassembly and assembly, and train the various firing exercise. The military training system of using XR technologies were applied to the multilateral military training, and we analyzed the satisfaction results for the experienced persons of this XR system.