• Journal of the Korean Society of Food Culture
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• v.36 no.6
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• pp.633-639
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• 2021

Raphanus sativus var. hortensis f. raphanistroides Makino (Korean wild radish [WR]) are root vegetables belonging to the Brassicaceae family. These radish species mostly grow in sea areas in Asia, where they have been traditionally used as a medicinal food to treat various diseases. To investigate the effect of WR on neuronal cell death in SH-SY5Y cells, beta-amyloid was used to develop the cell death model. WR attenuated neuronal cell death in SH-SY5Y and regulated the mitogen-activated protein kinase (MAPK) signaling. WR extract also inhibited acetylcholinesterase inhibitor activity. Additionally, the WR treatment group ameliorated the behavior of the memory-impaired mice in a scopolamine-induced mouse model. In the behavior test, WR treated mice showed shorter escape latency and swimming distance and improved the platform-crossing number and the swimming time within the target quadrant. Furthermore, WR prevented histological loss of neurons in hippocampal CA1 regions induced by scopolamine. This study shows that WR can prevent memory impairment which may be a crucial way for the prevention and treatment of memory dysfunction and neuronal cell death.

• Nuclear Engineering and Technology
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• v.51 no.3
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• pp.723-730
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• 2019

Acquiring instrumentation signals generated from nuclear power plants (NPPs) is essential to maintain nuclear reactor integrity or to mitigate an abnormal state under normal operating conditions or severe accident circumstances. However, various safety-critical instrumentation signals from NPPs cannot be accurately measured on account of instrument degradation or failure under severe accident circumstances. Reactor vessel (RV) water level, which is an accident monitoring variable directly related to reactor cooling and prevention of core exposure, was predicted by applying a few signals to deep neural networks (DNNs) during severe accidents in NPPs. Signal data were obtained by simulating the postulated loss-of-coolant accidents at hot- and cold-legs, and steam generator tube rupture using modular accident analysis program code as actual NPP accidents rarely happen. To optimize the DNN model for RV water level prediction, a genetic algorithm was used to select the numbers of hidden layers and nodes. The proposed DNN model had a small root mean square error for RV water level prediction, and performed better than the cascaded fuzzy neural network model of the previous study. Consequently, the DNN model is considered to perform well enough to provide supporting information on the RV water level to operators.

• Fashion & Textile Research Journal
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• v.21 no.1
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• pp.75-87
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• 2019

The purpose of the study was to suggest a cycle wear top jersey improved in mobility. The study developed a new cycle wear with improvement in dissatisfaction factors by planning design, pattern and the functionality of fabric. Considering the amount of sweat and the necessities of compression part, the basic material, the additional compression material, and the mesh material were arranged differently according to areas. The assessment of the developed cycle wear was composed of wearing comfort evaluation by female cyclist, photo analysis and garment pressure evaluation. The developed cycle wear was evaluated and compared with the current cycle wear. As a result of wearing comfort evaluation, the developed cycle wear was evaluated as better than the existing ones in all part, particularly in the areas of reflection tape and materials, partial pressure, pocket size, and prevention of loss. Photo analysis was in agreement with the appearance evaluation of the participants. As a result of garment pressure evaluation, the front neck part was more comfortable and the upper arm, abdomen, and waist area showed higher pressure, so it partially supported the body. This study has significant meaning for developing a new cycle wear top, protecting the body and improving the exercise effect.

• Korean Journal of Veterinary Service
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• v.42 no.1
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• pp.9-15
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• 2019

Transmissible gastroenteritis (TGE) is a disease confined to pigs of all ages, and can be a significant cause of economic loss in breeding herds, primarily because of the very high piglet mortality. The causative agent is a coronavirus, an enveloped positive strand RNA virus and closely related but non-enteropathogenic porcine respiratory coronavirus (PRCV). Although the TGEV has declined with its innocent relative, PRCV, further genome changes could not be excluded. Therefore, the herd-level immunity against this virus is important for the prevention of disease and should be carefully monitored. The aim of this study is to develop monoclonal antibody capture enzyme-linked immunosorbent assay (MAC-ELISA) which can rapidly and accurately determine a large numbers of serum samples for surveillance purpose, and to compare the ELISA with a TGEV-specific serum neutralization test. The MAC-ELISA was sufficiently achieved, and the comparison with the virus-specific serum neutralization assays for 713 sera from pig farms showed a high correlation ($r^2=0.812$, P<0.001). The specificity and sensitivity of MAC-ELISA for the serum neutralization test 91.9% and 91.6%, respectively, which means that the antibody detected by the MAC-ELISA could be said to be protective antibodies. In conclusion, the developed MAC-ELISA would be very helpful in evaluating protective antibodies against TGEV.

• Journal of the Korea Safety Management & Science
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• v.23 no.3
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• pp.35-45
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• 2021

Activities to prevent industrial accidents can be divided into management of disaster risk factors of production facilities, disaster prevention systems and procedures, and human factors management. Human factor management is the last and most effective means to minimize disaster incidence and loss costs. The key strategy for this is safety and health education. However, formal or fictitious education is still being carried out in the industrial field. In addition, it is true that the application of practical use is insufficient due to the simple theoretical education based on knowledge transfer. In order to change the safety consciousness of employers and workers, we think that the paradigm of education should be changed from the traditional text and video-oriented lecture education method to experience-oriented education. The purpose of this study is to measure and analyze the effectiveness of safety education through education contents using VR(Virtual Reality) and AR(Augmented Reality) technology in keeping with the changing times of the 4th Industrial Revolution, And to suggest the direction of future safety and health education and content development trend.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.2
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• pp.32-37
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• 2021

To realize a zero-energy building, a technology that minimizes the energy loss due to thermal bridges by preventing their formation is emerging as an important design factor. In this study, we develop a thermal bridge breaker to prevent thermal bridging in a metal panel roof and attempt to analyze the effects of its application. To this end, we fabricated a thermal bridge breaker and analyzed it in terms of its strength and heat-transfer characteristics, in addition to conducting a load simulation. The thermal bridge prevention effect of the developed thermal bridge breaker improved the insulation performance of the metal panel roof, and the results of a cooling/heating peak load simulation performed by applying the heat transmission resistance test results to a building proved the existence of this effect.

• Journal of the Korean Applied Science and Technology
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• v.37 no.6
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• pp.1619-1626
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• 2020

In this study, the physical properties of water-dispersible polyurethane resins synthesized with polyammonium phosphate and HMDI were studied by coating film samples and full-grain surfaces. Solvent resistance was found to be unchanged in all samples, and in terms of tensile strength, DPU-AP3 (1.887 kgf/㎟) containing the most ammonium polyphosphate showed the lowest physical properties. The elongation rate was measured as 54 8% in the sample containing a large amount of ammonium polyphosphate. Abrasion resistance was measured as 548 mg.loss of a sample containing a lot of ammonium polyphosphate, and it was confirmed that the physical properties of the blended resin of ammonium polyphosphate and water-dispersible polyurethane were changed.

• Journal of Drive and Control
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• v.18 no.1
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• pp.24-30
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• 2021

There is an increasing interest in condition-based maintenance for the prevention of economic loss due to failure. Moreover, immense research is being carried out in related technologies in the field of construction machinery. In particular, data-based failure diagnosis methods that employ AI (machine & deep learning) algorithms are in the spotlight. In this study, we have focused on the failure diagnosis and mode classification of reduction gear of excavator's travel device by using the AI algorithm. In addition, a remote monitoring system has been developed that can monitor the status of the reduction gear by using the developed diagnosis algorithm. The failure diagnosis algorithm was performed in the process of data acquisition of normal and abnormal under various operating conditions, data processing and analysis by the wavelet transformation, and learning. The developed algorithm was verified based on three-evaluation conditions. Finally, we have built a system that can check the status of the reduction gear of travel devices on the web using the Edge platform, which is embedded with the failure diagnosis algorithm and cloud.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.1-30
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• 2019

The involuntary delisting of public companies has a detrimental effect on economies caused by the loss of stock value and confidence in the capital market. Previous studies have focused on prediction or prevention models for firm delisting events using various financial and accounting information. However, the timely disclosure of companies, another important indicator, has not been investigated before in connection with companies that have been delisted. To address this gap, this study investigates the timely disclosure behavior of companies prior to delisting using sample firms listed on the Korean stock market between 2000 and 2014. The results show a significant correlation between the frequency of timely disclosure and delisted firms prior to their delisting on the Korean stock market. The delisted companies appear to increase their timely disclosure to deliver specific information to the public. Furthermore, these companies are likely to increase the frequency of timely disclosure as they get closer to their delisting. Notably, the timely disclosure of delisted firms has a capital market effect; namely, timely disclosure increases trading volume while decreasing the market value of the shares, reflecting price efficiency. This study appears to be the first that considers timely disclosure in the involuntary delisting literature.

• Journal of the Korean Applied Science and Technology
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• v.38 no.1
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• pp.178-185
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• 2021

In this study, polyvinyl alcohol (PVA) and polypropylene glycol (PPG)-based polyurethane dispersion resin for wound coating was synthesized. And the physical properties of the sample were coated on the surface of the film sample and the leather (Full-Grain) to study the physical properties change. In the case of tensile strength, PUD-PA1, which reacted with the least amount of PVA, showed the highest resistance at 2.00 kgf/㎟. Likewise, the rate of elongation was measured as high as 554% for PUD-PA1, which reacted with the least amount of PVA. The abrasion resistance measurement result showed that as the PVA response increased, the strength of the surface decreased to 36.77 mg.loss.