• Journal of Digital Convergence
• /
• v.20 no.4
• /
• pp.279-290
• /
• 2022

As the growth of the live streaming service market is accelerating due to COVID-19, the number of downloads and reviews of live streaming mobile applications is also rapidly skyrocketing. This study is to research game streaming applications using Twitch reviews as database. A total of 8 topics are extracted through LDA topic modeling and 7 out of them are detected to be inconvenience factors. Then, to pinpoint the main inconvenience factors, co-occurrence analysis is used in order to find out main factors. Finally, based on previous studies, several solutions are provided, which can solve the inconvenience factors(advertisement, UI design, technology problems) as well as strengthening digital competitiveness. This study will serve as an opportunity to improve digital competitiveness not only for Twitch but also for other game live streaming service companies in the future.

• The Korean Journal of Emergency Medical Services
• /
• v.26 no.1
• /
• pp.71-85
• /
• 2022

Purpose: This study aimed to investigate the current status of non-face-to-face education at universities for paramedicine and measure students' education satisfaction after the coronavirus infectious disease 2019 (COVID-19) outbreak. Methods: A cross-sectional survey was conducted for paramedic students at the Chungcheong and Honam areas using Google Forms. Convenience sampling was used. A structured questionnaire was created and modified according to Park and Choi's test tool developed to review online lectures and practical courses. Results: A total of 202 students responded to the survey. The satisfaction level of online lectures was 3.06±1.12 (n=202) out of 5. Students experiencing online lectures responded that it was difficult to focus on the class, and the overall quality and lecture delivery should be improved. They also experienced technical difficulties. The satisfaction level of practical course lectures was 3.24±1.04 (n=133) out of 5. It was higher than those of other types of classes because it was conducted by the more familiar face-to-face lecture. Conclusion: This study has shown that the universities and instructors have examined a variety of methods in paramedic education after the COVID-19 pandemic. However, further research and consideration are required to improve paramedic education during the COVID-19 pandemic.

• The Korean Society of Law and Medicine
• /
• v.23 no.3
• /
• pp.89-115
• /
• 2022

In this article, the Medical Act, the Emergency Medical Act, Act on remedies for injuries from medical malpractice and mediation of medical disputes were reviewed and interpreted based on the Civil Act. In the health and medical field, there are various laws that reflect changes in the medical field due to the development of health and medical technology, and their revision is very frequent. And the legislation has become very complicated. They contradict each other or require interpretation. In this situation, a person must take considerable care not to violate the law. In many cases, specific guidelines or authoritative interpretation are required to apply the law. Even guidelines and authoritative interpretations often conflict with civil law. In this article, errors in the legal text related to health care were found. In addition, it found a case that contradicts the civil law perspective in interpretation. Thus, it was confirmed that civil legal thinking was necessary to legislate, interpret, and apply health care-related laws.

• International Journal of Computer Science & Network Security
• /
• v.22 no.10
• /
• pp.155-164
• /
• 2022

The review of known decisions showed that currently there are no systems and technologies for supporting the decision about the possibility of concluding the civil law agreements for medical, therapeutic and dental services. The paper models the decision-making support process on the possibility of concluding the civil law agreements for medical, therapeutic and dental services, which is the theoretical basis for the development of rules, methods and system for supporting the decision about the possibility of concluding the civil law agreements for medical, therapeutic and dental services. The paper also developed the system for supporting the decision about the possibility of concluding the civil law agreements for medical, therapeutic and dental services, which automatically and free determines the possibility or impossibility of concluding the corresponding civil law agreement for the provision of a corresponding medical service. In the case of formation of a conclusion about the possibility of concluding the agreement, further conclusion and signing of the corresponding agreement takes place. In the case of forming a conclusion about the impossibility of concluding the agreement, a request is made for finalizing the relevant agreement for the provision of the relevant medical service, indicating the reasons for the impossibility of concluding the agreement - missing essential conditions in the agreement. After finalization, the agreement can be analyzed again by the developed system for supporting the decision.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
• /
• v.20 no.1
• /
• pp.43-63
• /
• 2022

The aim of this review is to communicate some essential knowledge of the underlying mechanism of the corrosion of structural containment alloys during molten salt reactor operation in the context of prospective online monitoring in future MSR installations. The formation of metal halide species and the progression of their concentration in the molten salt do reflect containment corrosion, tracing the depletion of alloying metals at the alloy salt interface will assure safe conditions during reactor operation. Even though the progress of alloying metal halides concentrations in the molten salt do strongly understate actual corrosion rates, their prospective 1^st order kinetics followed by near-linearly increase is attributed to homogeneous matrix corrosion. The service life of the structural containment alloy is derived from homogeneous matrix corrosion and near-surface void formation but less so from intergranular cracking (IGC) and pitting corrosion. Online monitoring of corrosion species is of particular interest for molten chloride systems since besides the expected formation of chromium chloride species CrCl₂ and CrCl₃, other metal chloride species such as FeCl₂, FeCl₃, MoCl₂, MnCl₂ and NiCl₂ will form, depending on the selected structural alloy. The metal chloride concentrations should follow, after an incubation period of about 10,000 hours, a linear projection with a positive slope and a steady increase of < 1 ppm per day. During the incubation period, metal concentration show 1^st order kinetics and increasing linearly with time^1/2. Ideally, a linear increase reflects homogeneous matrix corrosion, while a sharp increase in the metal chloride concentration could set a warning flag for potential material failure within the projected service life, e.g. as result of intergranular cracking or pitting corrosion. Continuous monitoring of metal chloride concentrations can therefore provide direct information about the mechanism of the ongoing corrosion scenario and offer valuable information for a timely warning of prospective material failure.

• The Journal of Korean Medicine
• /
• v.43 no.1
• /
• pp.112-135
• /
• 2022

Objectives: The objective of this study was to summarize clinical studies conducted over the last five years that investigated the effect of acupuncture on Parkinson's disease and to propose a better process of study. Methods: Research Information Sharing Service (RISS), Korea Studies Information Service (KISS), Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, Embase, and China National Knowledge Infrastructure (CNKI) were systemically searched for clinical trials that had investigated the effect of acupuncture on the course of Parkinson's disease from May 2016 to April 2021. Results: A total of 23 studies met all the inclusion criteria. In most reports, acupuncture had significant positive effects on the course of Parkinson's disease. Furthermore, there were no serious adverse events associated with acupuncture in any of the studies. In addition to the acupuncture methods that showed effectiveness in previous studies, various types of acupuncture have been used to treat sub-symptoms of Parkinson's disease. The outcome measures were subdivided through individual symptom evaluation and mechanical analysis. Follow-up assessments were also performed to analyze the continuous effect. Conclusion: In the clinical studies conducted over the last five years, many studies investigated the various types of acupuncture used to treat Parkinson's disease and the segmentation and diversification of outcome measures focusing on individual symptoms, and a new approach for excluding placebo effects through follow-up studies has been made. Further attempts like these are needed to overcome methodological flaws in studies on the effects of acupuncture on Parkinson's disease.

• KNOM Review
• /
• v.23 no.1
• /
• pp.43-50
• /
• 2020

As General Purpose Graphics Processing Unit (GPGPU) recently plays an essential role in high-performance computing, several cloud service providers offer GPU service. Most cluster orchestration platforms in a cloud environment using containers allocate the integer number of GPU to jobs and do not allow a node shared with other jobs. In this case, resource utilization of a GPU node might be low if a job does not intensively require either many cores or large size of memory in GPU. GPU virtualization brings opportunities to realize kernel concurrency and share resources. However, performance may vary depending on characteristics of applications running concurrently and interference among them due to resource contention on a node. This paper proposes GPU container co-execution framework with multiple server creation and execution based on Kubernetes, container orchestration platform for measuring interference which may be occurred by sharing GPU resources. Performance changes according to scheduling policies were investigated by executing several jobs on GPU. The result shows that optimal scheduling is not possible only considering GPU memory and computing resource usage. Interference caused by co-execution among applications is measured using the framework.

• KNOM Review
• /
• v.23 no.1
• /
• pp.51-62
• /
• 2020

Open IoT platform that shares communication infrastructure and provides cloud resources can flexibly reduce development period and cost of smart service. In this paper, as an open IoT platform, we propose a virtual IoT system based on edge computing that implements a virtual IoT device for a physical IoT device and allows service developers to interact with the virtual device. A management server in the edge cloud, near the IoT physical device, manages the creation, movement, and removal of virtual IoT devices corresponding to the physical IoT devices. This paper define the operations of the management server, the physical IoT device, and the virtual IoT device, which are major components of the virtual IoT system, and design the communication protocol required to perform the operations. Finally, through simulations, this paper evaluate the performance of the edge computing based virtual IoT system by confirming that each component performs the defined states and operations as designed.

• KNOM Review
• /
• v.24 no.1
• /
• pp.1-12
• /
• 2021

VM (Virtual Machine) live migration is a server virtualization technique for deploying a running VM to another server node while minimizing downtime of a service the VM provides. Currently, in cloud data centers, VM live migration is widely used to apply load balancing on CPU workload and network traffic, to reduce electricity consumption by consolidating active VMs into specific location groups of servers, and to provide uninterrupted service during the maintenance of hardware and software update on servers. It is critical to use VMlive migration as a prevention or mitigation measure for possible failure when its indications are detected or predicted. In this paper, we propose two VNF live migration methods; one for predictive load balancing and the other for a proactive measure in failure. Both need machine learning models that learn periodic monitoring data of resource usage and logs from servers and VMs/VNFs. We apply the second method to a vEPC (Virtual Evolved Pakcet Core) failure scenario to provide a detailed case study.

• KNOM Review
• /
• v.24 no.2
• /
• pp.24-34
• /
• 2021

Service providers using edge computing provide a high level of service. As a result, devices store important information in inner storage and have become a target of the latest cyberattacks, which are more difficult to detect. Although experts use a security system such as intrusion detection systems, the existing intrusion systems have low detection accuracy. Therefore, in this paper, we proposed a machine learning model for more accurate intrusion detections of devices in edge computing. The proposed model is a hybrid model that combines a stacked sparse autoencoder (SSAE) and a convolutional neural network (CNN) to extract important feature vectors from the input data using sparsity constraints. To find the optimal model, we compared and analyzed the performance as adjusting the sparsity coefficient of SSAE. As a result, the model showed the highest accuracy as a 96.9% using the sparsity constraints. Therefore, the model showed the highest performance when model trains only important features.