• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.171-180
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• 2023

Hydrogen energy technology is gaining importance in the era of the Fourth Industrial Revolution, offering military advantages when applied to military vehicles due to its characteristics such as reduced greenhouse gas emissions, noise, and low vibration. Korea's military has initiated the Army Tiger 4.0 plan, focusing on hydrogen application, downsizing, and AI-based smart features. The Ministry of National Defense plans to collaborate with the Ministry of Environment to expand hydrogen charging stations nationwide, anticipating increased deployment of military hydrogen vehicles. However, considering the Jet Fire and VCE(Vapor Cloud Explosion) nature of hydrogen, ensuring safety during installation is crucial. Current military guidelines specify a minimum safety distance of 2m from adjacent buildings for charging stations. Scientific methods have been employed to quantitatively assess the accident damage range of hydrogen, proposing a minimum safety distance beyond the affected area.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.17-27
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• 2023

Today, as AI (Artificial Intelligence) technology develops and its practicality increases, it is widely used in various application fields in real life. At this time, the AI model is basically learned based on various statistical properties of the learning data and then distributed to the system, but unexpected changes in the data in a rapidly changing data situation cause a decrease in the model's performance. In particular, as it becomes important to find drift signals of deployed models in order to respond to new and unknown attacks that are constantly created in the security field, the need for lifecycle management of the entire model is gradually emerging. In general, it can be detected through performance changes in the model's accuracy and error rate (loss), but there are limitations in the usage environment in that an actual label for the model prediction result is required, and the detection of the point where the actual drift occurs is uncertain. there is. This is because the model's error rate is greatly influenced by various external environmental factors, model selection and parameter settings, and new input data, so it is necessary to precisely determine when actual drift in the data occurs based only on the corresponding value. There are limits to this. Therefore, this paper proposes a method to detect when actual drift occurs through an Anomaly analysis technique based on XAI (eXplainable Artificial Intelligence). As a result of testing a classification model that detects DGA (Domain Generation Algorithm), anomaly scores were extracted through the SHAP(Shapley Additive exPlanations) Value of the data after distribution, and as a result, it was confirmed that efficient drift point detection was possible.

• Clean Technology
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• v.29 no.4
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• pp.262-271
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• 2023

Globally, the amount of waste plastics has been occurring to environmental problems. As a result, it is necessary to research methods that utilize waste plastic pyrolysis oil (WPPO) produced by pyrolysis. One such method being studied is utilizing WPPO as a naphtha feedstock. In this study, five types of WPPO were analyzed to determine whether they can be used as raw materials for naphtha. Because of their wide boiling point range, the WPPOs were fractionated into light and heavy fractions through vacuum distillation, and the separation and purification techniques were analyzed using GC-VUV to determine the content of paraffin, olefin, and other compounds. All WPPOs showed high olefin content regardless of the source and fraction. Aromatic and paraffin content varied depending on the source, and oxygen and other compounds also varied significantly by source and fraction. In addition, the light fraction showed a carbon distribution similar to that of naphtha, whereas the heavy fraction showed a carbon distribution of C₁₁ ~ C₁₄. In conclusion, additional processes and raw material selection are required to utilize waste plastic pyrolysis oil as a raw material for naphtha.

• Journal of Korea Water Resources Association
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• v.56 no.11
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• pp.815-822
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• 2023

Organic pollution is one of the most common forms of water contamination. Under the Water Quality Conservation Act, indicators for measuring organic substances include BOD, COD, and TOC. Analysis of BOD and COD is labor-intensive, and in the case of organic substances where biological decomposition is not feasible or toxic substances are present, the accuracy is often low. Therefore, the Ministry of Environment is shifting towards TOC-centric management. With advancements in sensor technology today, various parameters can be monitored using sensors. In this study, digital monitoring of river TOC using a spectrophotometer called Spectro::lyser V3 was conducted. Initially, experiments were carried out at the Andong River Experiment Center to assess the applicability of the measurement equipment. Subsequently, data collected at the confluence of the Nakdong River was analyzed for the spatial distribution of TOC using the Kriging technique. This research proposes the utilization of sensors for river TOC monitoring and spatial distribution analysis. Real-time monitoring of changes in river TOC concentration can serve as fundamental data for pollution monitoring and response. Sensor-based river monitoring offers advantages in terms of temporal resolution and real-time data acquisition. When various spatial information interpretation methods are applied, it is expected to contribute to diverse studies such as aquatic ecological health, river water source selection, and stratification analysis in the future.

• Journal of Music and Human Behavior
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• v.20 no.2
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• pp.1-32
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• 2023

The purpose of this study was to analyze the rationale and format of music therapy interventions with patients receiving hospice or palliative care in Korea. Through this analysis, I examined whether the music intervention used was based on a valid rationale and represented the professionalism expected of today's music therapy interventions. A total of 12 studies that met the selection criteria were identified, and the overall characteristics of each study and its format were analyzed. As a result of the analysis, it was confirmed that the rationale for each study and its format were influenced by the author's research field. The analysis also showed that the research on music-based interventions in hospice or palliative care settings was insufficient and involved a mix of professional and nonprofessional interventions. The results of this study suggest that importance of researchers possessing professional competence which requires offering a clear justification for their choice of interventions, music, and instruments. Additionally, these results emphasize the need for further development of evidence-based music therapy approaches in hospice and palliative care settings as the role of music in supporting patients in these environments has gained increasing recognition and validation.

• Journal of Music and Human Behavior
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• v.20 no.2
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• pp.115-142
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• 2023

The purpose of this study was to analyze and evaluate music intervention research conducted with high-risk neonates in NICUs in both domestic and international settings. Seventeen music intervention studies were identified, and their characteristics, including type of music, music provider, and treatment frequency, and outcomes (i.e., neonatal vital signs) were reviewed and analyzed along with meta-analysis. For music interventions targeting high-risk neonates in NICUs, the effect sizes of the neonates' vital signs were classified as either medium or large. In addition, larger effect sizes were associated with a combination of live and recorded music, nonmusical therapists as the music providers, and treatment frequency of one to five sessions per week. These research findings verify the clinical value of music for high-risk neonates and provide insights into the selection of music elements, music delivery methods, and music providers in NICU music interventions.

• Tunnel and Underground Space
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• v.33 no.5
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• pp.348-372
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• 2023

In relation to the high-level radioactive waste disposal project in deep fractured rock aquifer environments, it is essential to evaluate hydrogeological characteristics for evaluating the suitability of the site and operational stability. Such subsurface hydrogeological data is obtained through in-situ tests using boreholes excavated at the target site. The accuracy and reliability of the investigation results are directly related to the selection of appropriate test methods, the performance of the investigation system, standardization of the investigation procedure. In this report, we introduce the detailed procedures for the representative test method, the constant pressure injection test (CPIT), which is used to determine the key hydrogeological parameters of the subsurface fractured rock aquifer, namely hydraulic conductivity and storativity. This report further refines the standard test method suggested by the KSRM in 2022 and includes practical field application case conducted in volcanic rock aquifers where this investigation procedure has been applied.

• Journal of Korean Foot and Ankle Society
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• v.27 no.4
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• pp.131-136
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• 2023

Purpose: This study compared the clinical and radiology results of arthrodesis between the anterior and transfibular approaches with a lateral malleolar-saving procedure in ankle arthritis. Materials and Methods: This study was a retrospective study of 31 cases who underwent ankle arthrodesis with the anterior approach (14 cases) and trans-fibular approach (17 cases). The remnant lateral malleolus was fixed during the trans-fibular procedure. The patients included 17 females and 14 males with a mean age of 57.2 (range 41~73) years; the mean follow-up was 30.4 (range 15~68) months. The clinical and radiology outcomes, including the American Orthopedic Foot & Ankle Society (AOFAS) scores, visual analog scale (VAS), and union time, were recorded. The complications and subjective satisfaction degrees were also recorded and compared between the two groups. Results: Clinically, the preoperative mean AOFAS score and VAS in the anterior approach group were 39.3 and 7.4, respectively, which changed to 61.9 and 3.1 postoperatively. In the trans-fibular approach group, the mean AOFAS score and VAS increased from 36.6 to 64.2 and 7.1 to 2.4, respectively. On the other hand, no significant differences in the clinical results were observed between the two groups. The time to achieve union was 9.2 and 11.6 weeks in the anterior and transfibular approach groups, respectively. Three patients (21%) complained of tenderness and discomfort around the fibular tip in the anterior approach group, and seven patients (41%) showed a gap between the talus and remnant lateral malleolus in the trans-fibular approach group. Conclusion: There was no difference in the clinical and radiological results between the anterior and transfibular approaches with a lateral malleolar saving procedure in ankle arthrodesis. Careful selection of the approach method according to the patient's preoperative condition is needed to prevent remnant discomfort or nonunion around the lateral malleolus.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.41-48
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• 2023

Recently, there has been a sharp increase in the damages caused by ransomware across various sectors of society, including individuals, businesses, and nations. Ransomware is a malicious software that infiltrates user computer systems, encrypts important files, and demands a ransom in exchange for restoring access to the files. Due to its diverse and sophisticated attack techniques, ransomware is more challenging to detect than other types of malware, and its impact is significant. Therefore, there is a critical need for accurate detection and mitigation methods. To achieve precise ransomware detection, an inference engine of a detection system must possess knowledge of ransomware features. In this paper, we propose a model to extract and classify the characteristics of ransomware for accurate detection of ransomware, calculate the similarity of the extracted characteristics, reduce the dimension of the characteristics, group the reduced characteristics, and classify the characteristics of ransomware into attack tools, inflow paths, installation files, command and control, executable files, acquisition rights, circumvention techniques, collected information, leakage techniques, and state changes of the target system. The classified characteristics were applied to the existing ransomware to prove the validity of the classification, and later, if the inference engine learned using this classification technique is installed in the detection system, most of the newly emerging and variant ransomware can be detected.

• Journal of agricultural medicine and community health
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• v.48 no.4
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• pp.262-274
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• 2023

Objectives: This study examined the evaluation and potential improvements of 'Integrated Healthcare and Social Welfare service model' based on the experiences of practitioners from institutions participating in the 'Dalgubeol Health Doctor Services' and the service recipients. Methods: Qualitative research was conducted from September to November 2022 in this study, focusing on 4 providers from the dedicated Dalgubeol Health Doctor Services Team, 5 contact partners from affiliated organizations, and 6 service beneficiaries. The data gathered underwent thematic analysis. Results: The evaluation indicated that Dalgubeol Health Doctor Services has proven to be effective in addressing the complex needs of vulnerable populations. By providing integrated services through quick and simple beneficiary selection and resource linkage, it has contributed to the resolution of complex demands, recovery of positive attitudes towards life, and improvement in quality of life for users who have fear the use of medical and welfare services. Dalgubeol Health Doctor Services has established an integrated health care system involving not only public but also private organizations, from the referral agency to the service provider. Centered around Daegu Medical Center and involving five tertiary hospitals, it has established a model that supports treatment appropriate to the severity of the patient, from mild to severe. Conclusions: These findings indicate an enhancement in health equity, achieved through the active identification and subsequent health and welfare issue resolution of individuals marginalized from medical benefits.