• Journal of the Korean Applied Science and Technology
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• v.34 no.4
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• pp.1104-1111
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• 2017

In this study, the authors aimed to give careful consideration to the circulation of bioenergy (Qi) by using cardiorespiratory massage technique. Finding enlightenment in harmony with nature thousands of years ago, our ancestors created Qi using natural breathing and tried to achieve good health and long life by controling the up and down movement. Experiencing the importance of the abdomen during the hungry times, also, grandmothers cured diseases by rubbing the abdomen, which is the ocean of life with their soft, soothing touch of hand. Naval breathing therapy was formed, based on natural breathing, emotional recognition of grandmothers' soft, soothing touch, and the Theory of Unified Reason and Energy that is the key of Oriental medicine. Natural breathing and Yakson massage are kinds of naturopathy to change body and mind, cure diseases naturally, and maintain the improvement in physical functions by taking care of the abdomen through the creation of Qi and the up and down movement and keeping dynamic balance between the natural world and the inside and outside of human body. It is anticipated that this study could contribute to the practical spread for an active application of naval breathing therapy and be broadly used in scientific clinical researches.

• Genomics & Informatics
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• v.19 no.1
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• pp.11.1-11.8
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• 2021

For the novel coronavirus disease 2019 (COVID-19), predictive modeling, in the literature, uses broadly susceptible exposed infected recoverd (SEIR)/SIR, agent-based, curve-fitting models. Governments and legislative bodies rely on insights from prediction models to suggest new policies and to assess the effectiveness of enforced policies. Therefore, access to accurate outbreak prediction models is essential to obtain insights into the likely spread and consequences of infectious diseases. The objective of this study is to predict the future COVID-19 situation of Korea. Here, we employed 5 models for this analysis; SEIR, local linear regression (LLR), negative binomial (NB) regression, segment Poisson, deep-learning based long short-term memory models (LSTM) and tree based gradient boosting machine (GBM). After prediction, model performance comparison was evelauated using relative mean squared errors (RMSE) for two sets of train (January 20, 2020-December 31, 2020 and January 20, 2020-January 31, 2021) and testing data (January 1, 2021-February 28, 2021 and February 1, 2021-February 28, 2021) . Except for segmented Poisson model, the other models predicted a decline in the daily confirmed cases in the country for the coming future. RMSE values' comparison showed that LLR, GBM, SEIR, NB, and LSTM respectively, performed well in the forecasting of the pandemic situation of the country. A good understanding of the epidemic dynamics would greatly enhance the control and prevention of COVID-19 and other infectious diseases. Therefore, with increasing daily confirmed cases since this year, these results could help in the pandemic response by informing decisions about planning, resource allocation, and decision concerning social distancing policies.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.37-47
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• 2021

In the pandemic era, smart medical technology has also been applied to prevent and control diseases such as COVID-19. Health QR code system shave sparked recent discussion in the hopes of improving its convenience and safety. The many types of current health QR code systems in China exists causes inconvenience to those that are vulnerable, as well as raising the issue of personal information protection. In order to solve this problem, this paper proposes transparent integration of the health QR code systems and the process of protecting personal information, as well as designs an interface for user convenience. Through the method presented in this paper and the newly designed interface, users can enjoy the smart pharmaceutical system more conveniently and safely, and ensure effective results in the prevention and control of diseases that are likely to spread.

• Journal of The Korea Institute of Healthcare Architecture
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• v.28 no.2
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• pp.31-38
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• 2022

Purpose: This study presents the results of the analysis on space utilization of kidney dialysis units in regional public hospitals, which plays a key role in local public medical services. The result aims to achieve safety from infection, allow comfort for the dialysis environment, and stability for medical support. The purpose of this study is to present fundamental data for architectural plans for the kidney dialysis unit, as well as to alleviate potential infectious diseases such as COVID-19. Methods: For research purposes, the investigation and analysis of space utilization were based on architectural floor plans, research papers and literature, related legal systems, and public statistics. Of the main 35 regional public hospitals, in regards to data accessibility, 15 facilities were selected to conduct the survey and analysis for the objective. Results: The space composition by area research results of kidney dialysis units in public hospitals are as follows: Firstly, most targets do not have required rooms in the access and support area, except for the hemodialysis beds in the treatment section. Secondly, the access area requires necessary room and space design that took into consideration of convenience and accessibility for patients. Thirdly, in regards to infection prevention and control, proper circulation and room plan is essential for storage and disposal of contaminated products and linen after use. For the treatment area, the arrangement plan needs to establish a visual connection between the isolation room, the nursing station, and the bed area. Additionally, consideration of circulation in the preparation, treatment, observation, examination, and all other rooms in the facility is required. Lastly, for the support area, the room is designed to consider adequate working and meeting spaces for the medical staff, consultation space for patients or guardians, separate storage and disposal of clean and contaminated items, and the storage of various equipment for dialysis. Implications: In preparation for the increase in chronic kidney failure patients and the spread of infectious diseases, such as COVID-19, the researched data demonstrates the basic guidelines for space composition of kidney dialysis units and the significant role of regional public hospitals.

• Journal of Microbiology and Biotechnology
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• v.32 no.6
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• pp.681-698
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• 2022

The Nile tilapia Oreochromis niloticus, Atlantic salmon Salmo salar, rainbow trout Oncorhynchus mykiss, olive flounder Paralichthys olivaceus, common carp Cyprinus carpio, grass carp Ctenopharyngodon idella and rohu carp Labeo rohita are farmed commercially worldwide. Production of these important finfishes is rapidly expanding, and intensive culture practices can lead to stress in fish, often reducing resistance to infectious diseases. Antibiotics and other drugs are routinely used for the treatment of diseases and sometimes applied preventatively to combat microbial pathogens. This strategy is responsible for the emergence and spread of antimicrobial resistance, mass killing of environmental/beneficial bacteria, and residual effects in humans. As an alternative, the administration of probiotics has gained acceptance for disease control in aquaculture. Probiotics have been found to improve growth, feed utilization, immunological status, disease resistance, and to promote transcriptomic profiles and internal microbial balance of host organisms. The present review discusses the effects of single and multi-strain probiotics on growth, immunity, heamato-biochemical parameters, and disease resistance of the above-mentioned finfishes. The application and outcome of probiotics in the field or open pond system, gaps in existing knowledge, and issues worthy of further research are also highlighted.

• CELLMED
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• v.11 no.4
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• pp.20.1-20.23
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• 2021

Background: The pandemic COVID-19 caused by a novel coronavirus SARS-COV-2 has spread like a forest fire. This disease may have serious consequences for pregnant women. Presently, no specific drugs or vaccines exist to battle this disease and researches are underway. Unani medicine has a unique role in prevention and management during epidemics. Here, we reviewed the overview of COVID-19 infection and pregnancy, concept and practices in Unani medicine for flu-like epidemics in general and pregnancy, and safety of Unani drugs for the prevention and treatment of mild symptomatic cases of COVID-19 during pregnancy. Methodology: Unani classical texts and pharmacopoeia were meticulously explored for concepts and practices for flu-like epidemic diseases. Further, we browsed scientific databases such as PubMed, Scopus and others for an overview, epidemics and Unani medicine, effectiveness and safety of Unani drugs in COVID-19 and pregnancy. Results: Unani medicine includes prevention and management of flu-like epidemic include quarantine and isolation, aromatic herbal drugs fumigation and spraying for environmental disinfection, ilaj bid tadbir for health promotion and use of health-protecting drugs and symptom-specific drugs in general and related to pregnancy. Lahsun, asalussus, behidana, banafsha, zanjabeel, unnab, etc are in use since antiquity for the prevention and treatment of asymptomatic and mildly symptomatic pregnant women during infectious and epidemic diseases. Conclusion: Currently, the aforementioned plants are proven for antiviral, antioxidant, immunomodulatory and anti-inflammatory activities, probably useful in the COVID-19 pandemic. Additionally, scientific studies have provided new insight into the mechanism underlying the therapeutic effect of Unani medicines that are safe in pregnancy.

• Advanced Industrial SCIence
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• v.1 no.2
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• pp.30-36
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• 2022

Even in 2022, when medical science is highly developed, pandemic infectious diseases continue to occur. COVID-19, which occurred in 2019, is highly contagious and has caused many infections. In Korea, temporary screening clinics, such as screening clinics and respiratory clinics, have been added to prevent the spread of COVID-19, but there are problems such as a bottleneck due to the large number of people who want to take the test, and this creates a bottleneck. In order to solve the problem, this study aims to identify people who want to be tested for COVID-19 in a screening clinic in real time. It uses a real-time database to link with screening clinics and provides users with the real-time status of each screening clinic. Using the app, users can check the status of screening clinics in real time and can select a clinic smoothly.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.1
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• pp.49-66
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• 2022

The COVID-19 pandemic has led many countries around the world to introduce and employ a digital certificate system to prevent infectious diseases, however, there are difficulties in using the compatible digital certificate between countries in that the international standards of the system have not been developed. Accordingly, we propose an improved system, comparing two methods of presenting a certificate, existing QR code-based and a short-range wireless communication-based certificates. The proposed system is a digital certificate system against the spread of infectious disease by storing verification information of the certificate using decentralized identity-based technology on the blockchain. Blockchain-based trust anchor improves security by solving the problem of forgery and alteration of certificates and guaranteeing the identity of certificate issuers and presenters. This system is also expected to enhance usability providing concurrent verification of a number of certificates(vaccination certificates, recovery certificates, test results, identity certificates, etc.) in a single certificate presentation.

• Journal of Biomedical Engineering Research
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• v.44 no.3
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• pp.167-175
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• 2023

Chest PA is the basic examination of radiographic imaging. Moreover, Chest PA's demands are constantly increasing because of the Increase in respiratory diseases. However, it is not meeting the demand due to problems such as a shortage of radiological technologist, sexual shame caused by patient contact, and the spread of infectious diseases. There have been many cases of using artificial intelligence to solve this problem. Therefore, the purpose of this research is to build an artificial intelligence dataset of Chest PA and to find a posture evaluation method. To construct the posture dataset, the posture image is acquired during actual and simulated examination and classified correct and incorrect posture of the patient. And to evaluate the artificial intelligence posture method, a posture estimation algorithm is used to preprocess the dataset and an artificial intelligence classification algorithm is applied. As a result, Chest PA posture dataset is validated with in over 95% accuracy in all artificial intelligence classification and the accuracy is improved through the Top-Down posture estimation algorithm AlphaPose and the classification InceptionV3 algorithm. Based on this, it will be possible to build a non-face-to-face automatic Chest PA examination system using artificial intelligence.

• Journal of Platform Technology
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• v.11 no.4
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• pp.3-12
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• 2023

In the post-COVID era, the importance of quarantine measures is greatly emphasized, and accordingly, research related to the detection of mask wearing conditions and prevention of other infectious diseases using deep learning is being conducted. However, research on the detection and tracking of visitors to cultural facilities to prevent the spread of diseases is equally important, so research on this should be conducted. In this paper, a convolutional neural network-based object detection model is trained through transfer learning using a pre-collected dataset. The weights of the trained detection model are then applied to a multi-object tracking model to monitor visitors. The visitor detection model demonstrates results with a precision of 96.3%, recall of 85.2%, and an F1-score of 90.4%. Quantitative results of the tracking model include a MOTA (Multiple Object Tracking Accuracy) of 65.6%, IDF1 (ID F1 Score) of 68.3%, and HOTA (Higher Order Tracking Accuracy) of 57.2%. Furthermore, a qualitative comparison with other multi-object tracking models showcased superior results for the model proposed in this paper. The research of this paper can be applied to the hygiene systems within cultural facilities in the post-COVID era.