• Journal of Korea Foundry Society
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• v.41 no.6
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• pp.550-557
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• 2021

With the advent of the fourth industrial revolution, the interest in the internet of things (IoT) in manufacturing is growing, even at foundries. There are several types of process data that can be automatically collected at a foundry, but considerable amounts of process data are still managed based on handwriting for reasons such as the limited functions of outdated production facilities and process design based on operator know-how. In particular, despite recognizing the importance of converting process data into big data, many companies have difficulty adopting these steps willingly due to the burden of system construction costs. In this study, the field applicability of IoT-based devices was examined by manufacturing devices and applying them directly to the site of a centrifugal foundry. For the centrifugal casting process, the temperature and humidity of the working site, the molten metal temperature, and mold rotation speed were selected as process parameters to be collected. The sensors were selected in consideration of the detailed product specifications and cost required for each process parameter, and the circuit was configured using a NodeMCU board capable of wireless communication for IoT-based devices. After designing the circuit, PCB boards were prepared for each parameter, and each device was installed on site considering the working environment. After the on-site installation process, it was confirmed that the level of satisfaction with the safety of the workers and the efficiency of process management increased. Also, it is expected that it will be possible to link process data and quality data in the future, if process parameters are continuously collected. The IoT-based device designed in this study has adequate reliability at a low cast, meaning that the application of this technique can be considered as a cornerstone of data collecting at foundries.

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.73-79
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• 2022

Purpose: The purpose of this study was to investigate the relationship between the minimum effective width (90cm) of the exit of the evacuation stairway installed in accordance with the Building Act and the evacuation time of all occupants using the corresponding floor from an evacuation point of view. Method: The evacuation simulation (Pathfinder) was used to investigate how the change in doorway width affects the evacuation time of occupants. Result: It was found that as the effective width of the doorway became larger than the minimum standard of 90cm, the evacuation time to the evacuation stairs was shortened. This is also proof that the effective width of the evacuation stair entrance can be appropriately applied differently depending on the number of occupants on the floor. Conclusion: In the future, in order to secure evacuation safety of occupants, it is judged that the effective width standard for the exit of the evacuation stairway considering the total number of occupants by use is necessary. In addition, it is expected that the evacuation efficiency of occupants can be greatly increased if various effective width standards for entrances are made according to the number of occupants by use through research and experiments.

• Journal of Practical Agriculture & Fisheries Research
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• v.23 no.2
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• pp.99-111
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• 2021

The connected farm that agricultural land, agricultural machinery and farmer are connected with an IoT gateway is in the commercialization stage. That has increased productivity, efficiency and profitability by intimate information exchange among those. In order to develop the educational program of intelligent agricultural machinery and the agricultural machinery safety education performance indicator, this study analyzed patent trends of agricultural machine with unmanned technology used in agriculture and efficiency technology applied advanced technologies such as ICT, robots and artificial intelligence. We investigated and analyzed patent trends in agricultural machinery of Korea, the USA and Japan as well as the countries in Europe. The United States is an advanced country in the field of unmanned technology and efficiency technology used in agriculture. Agricultural automation technology in Korea is insufficient compared to developed countries, which means rapid technological development is needed. In the sub-fields of field automation technology, path generation and following technology and working machine control technology through environmental awareness have activated.

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.146-153
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• 2022

Purpose: In the case of domestic port facilities, port structures that have been in use for a long time have many problems in terms of safety performance and functionality due to the enlargement of ships, increased frequency of use, and the effects of natural disasters due to climate change. A big data analysis method was studied to develop an approximate model that can predict the aging pattern of a port facility based on the maintenance history data of the port facility. Method: In this study, member-level maintenance history data for caisson-type quay walls were collected, defined as big data, and based on the data, a predictive approximation model was derived to estimate the aging pattern and deterioration of the facility at the project level. A state-based aging pattern prediction model generated through Gaussian process (GP) and linear interpolation (SLPT) techniques was proposed, and models suitable for big data utilization were compared and proposed through validation. Result: As a result of examining the suitability of the proposed method, the SLPT method has RMSE of 0.9215 and 0.0648, and the predictive model applied with the SLPT method is considered suitable. Conclusion: Through this study, it is expected that the study of predicting performance degradation of big data-based facilities will become an important system in decision-making regarding maintenance.

• Journal of Life Science
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• v.32 no.7
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• pp.491-500
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• 2022

HK shiitake mushroom mycelium (HKSMM), containing 14% β-glucan, is a health functional food ingredient individually approved by the Korea Ministry of Food and Drug Safety for liver health. The anti-inflammatory effect of a 50% aqueous ethanol extract of HKSMM (designated HKSMM50) was studied in RAW 264.7 macrophage cells treated with lipopolysaccharide (LPS). An active hexose correlated compound (AHCC) was used as a positive control. LPS-activated RAW 264.7 cells were treated with HKSMM50 and AHCC (0, 20, 100, 500 ㎍/ml) and cultured for 24 hr. Inflammation-related elements in the supernatant were measured using enzyme-linked immunosorbent assay (ELISA) kits, and the expression of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) proteins in the cells was analyzed by Western blotting. The HKSMM50 lowered iNOS and COX-2 protein expressions, and nuclear factor-kappa B (NF-κB), nitric oxide (NO) and prostaglandin E₂ (PGE₂) contents in a concentration-dependent manner as compared to LPS treatment. Similarly, the HKSMM50 lowered the content of pro-inflammatory cytokines interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), interleukin-4 (IL-4) and interleukin-6 (IL-6) contents and increased the activity of antioxidant enzymes superoxide dismutase (SOD) and catalase (CAT). The efficacy of the AHCC treatment was similar to that of the HKSSM50 treatments. These results indicate that HKSMM50 showed an anti-inflammatory effect in LPS-treated RAW 264.7 cells by down-regulation of NF-κB signaling and suggest that HKSMM could be used as a health functional food ingredient to help improve immune function.

• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1749-1760
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• 2022

In modern society, human and social damages caused by natural disasters and frequent disaster accidents have been increased year by year. Prompt access to dangerous disaster sites that are inaccessible or inaccessible using state-of-the-art Earth observation equipment such as satellites, drones, and survey robots, and timely collection and analysis of meaningful disaster information. It can play an important role in protecting people's property and life throughout the entire disaster management cycle, such as responding to disaster sites and establishing mid-to long-term recovery plans. This special issue introduces the National Disaster Management Research Institute (NDMI)'s disaster management technology that utilizes various Earth observation platforms, such as mobile survey vehicles equipped with close-range disaster site survey sensors, drones, and survey robots, as well as satellite technology, which is a tool of remote earth observation. Major research achievements include detection of damage from water disasters using Google Earth Engine, mid- and long-term time series observation, detection of reservoir water bodies using Sentinel-1 Synthetic Aperture Radar (SAR) images and artificial intelligence, analysis of resident movement patterns in case of forest fire disasters, and data analysis of disaster safety research. Efficient integrated management and utilization plan research results are summarized. In addition, research results on scientific investigation activities on the causes of disasters using drones and survey robots during the investigation of inaccessible and dangerous disaster sites were described.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.2
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• pp.1-14
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• 2021

The exclusive bus lanes in the Yeongdong Expressway were implemented in the Singal to Yeoju section in 2017, but the capacity of both exclusive bus lanes and general-purpose lanes of the Yeongdong Expressway decreased and the travel time increased, reducing it to the Singal to Deokpyeong section. Therefore, it is necessary to increase the efficiency of exclusive bus lanes to revitalize public transportation and improve environmental problems. This study calculated the willingness to pay and the social benefits of permission for Green cars to drive on exclusive bus lanes in Yeongdong Expressway. A survey was conducted on two groups of Green car users and Expressway users, and the willingness to pay was estimated using the CVM method. As a result, the average WTP of Green car users were estimated to be 218.7(won/km·person), and that of Expressway users were estimated to be approximately 235.5(won/km·person). The direct benefits were estimated to be approximately 7.9 billion won for Green car users, and 8.5 billion won for Expressway users in 2019. Finally, the value of time saving was estimated to be approximately 8.0 billion won.

• Journal of the Korea institute for structural maintenance and inspection
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• v.25 no.6
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• pp.262-269
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• 2021

This paper conducts an evaluation of the structural performance of the lap splice detail of SD700 headed bar experiment for developing an RC beam with different depths joint details. The experiment variable is lap splice length, yield strength, and end anchorage of main reinforcements. For all specimens, a headed bar was applied to the main reinforcement of the beam with low depth (B2), and the beam with high depth (B1) was applied to the main reinforcement with two splice methods: straight headed bar and 90° hooked-headed bar. The experimental results were that specimens of applying SD500 and SD600 had the results of flexural fracture at the lap splice location, which maximum load was similar. For specimens of appling SD500, the 90° hooked-headed bar of B1, suppressed horizontal cracks in the lap splice section compared to the straight headed bar. Specimens of applying an SD 700 headed bar had the results of brittle anchorage failure. In addition, maximum load was increased with the lap splice length increasing. For specimens of applying SD700 headed bar, test for test maximum load/theoretical load for test development length/design development length were estimated to be 1.30~1.48 for the ACI 318-19 equation, and 1.14~1.30 for the KDS-2021 equation. Thus, ACI 318-19 equation had conservatively greater safety factors as estimated development lengththened.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.49-57
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• 2022

The government is making great efforts to prevent crimes such as missing children by using public CCTVs. However, there is a shortage of operating manpower, weakening of concentration due to long-term concentration, and difficulty in tracking. In addition, applying real-time object search, re-identification, and tracking through a deep learning algorithm showed a phenomenon of increased parameters and insufficient memory for speed reduction due to complex network analysis. In this paper, we designed the network to improve speed and save memory through the application of Yolo v4, which can recognize real-time objects, and the application of Batch and TensorRT technology. In this thesis, based on the research on these advanced algorithms, OSNet re-ranking and K-reciprocal nearest neighbor for re-identification, Jaccard distance dissimilarity measurement algorithm for correlation, etc. are developed and used in the solution of CCTV national safety identification and tracking system. As a result, we propose a solution that can track objects by recognizing and re-identification objects in real-time within situation of a Korean public multi-CCTV environment through a set of algorithm combinations.

• The Journal of Internal Korean Medicine
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• v.43 no.3
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• pp.396-412
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• 2022

Objective: The aim of this study was to identify the clinical features of post-acute COVID-19 syndrome and the efficacy and safety of Korean medicine treatment. Methods: This study was conducted on 15 patients with post-acute COVID-19 syndrome who visited the outpatient Allergy, Immune, and Respiratory System Department at Kyung Hee University Korean Medicine Hospital from January 10, 2021 to April 10, 2022. We retrospectively analyzed the charts of 15 patients and collected clinical characteristics, Korean medicine treatments, outcome variables (Numeral Rating Scale (NRS), modified Medical Research Council scale (mMRC), Leicester Cough Questionnaire (LCQ), Quality of Life Visual Analog Scale (QOL-VAS), The Post-COVID-19 Functional Status (PCFS)), adverse events, etc. Results: Of the 15 patients, seven (46.7%) were men, and the average age of all patients was 49.7±13 years. The most common symptom was cough (n=9, 60%), and it was followed by dyspnea or increased respiratory effort, fatigue, insomnia, anosmia, etc. The herbal medicine was prescribed for all 15 patients, and Saengmaek-san (n=8, 53.5%) was the most prescribed. Additionally, acupuncture and cupping were performed in four patients (26.7%) each, and electroacupuncture was applied to one patient (6.7%). As a result of Korean medicine treatment, NRS, mMRC, LCQ, QOL-VAS, and PCFS showed improvement, and adverse events were mild. Conclusions: This study presented the clinical features of post-acute COVID-19 syndrome and suggested that Korean medicine treatment may be effective in alleviating related symptoms and enhancing quality of life.