• Journal of Christian Education in Korea
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• v.71
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• pp.341-370
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• 2022

As COVID-19 has been converted to an endemic with social distancing lifted, people are getting used to new cultures and lifestyles that are different from before. While the world is now adapting to rapidly changing trends, Christian education is facing a crisis without being able to respond to these changes. Therefore, a new Christian education method is now required. The purpose of this study is to suggest a new Christian education method that allows Christians to properly lead a new era as an alternative to Christian education that is experiencing such a crisis. The study also presents the metaverse Christian education platform, which is a detailed and practical method of Christian education, by incorporating the platform and metaverse that are under the spotlight in the post-Corona era into Christian education. Here, the christian educational platform refers to the system, space, and various materials that can make Christian education efficient and smooth. The metaverse Christian education platform consists of 4 stages according to the size of the platform to activate supply and demand within the platform. Stage 1 is a home education platform, Stage 2 is a community education platform, Stage 3 is a regional union education platform, and Stage 4 is an educational mission platform. The last Stage 4, the educational mission platform utilized the metaverse, which is drastically expanding in the present era, as a method of educational mission. It is meaningful that the educational mission has been embodied by providing small churches and the next generation in underdeveloped countries with educational contents, educational materials, online mentors, virtual communities, and real-time educational broadcasts within the educational platform, using virtual spaces in the metaverse.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.10
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• pp.345-352
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• 2022

Recent LiDAR(Light Detection And Ranging) sensor is used for scanning object around in real-time. This sensor can detect movement of the object and how it has changed. As the production cost of the sensors has been decreased, LiDAR begins to be used for various industries such as facility guard, smart city and self-driving car. However, LiDAR has a large input data size due to its real-time scanning process. So another way for processing a large amount of data are needed in LiDAR system because it can cause a bottleneck. This paper proposes edge computing to compress massive point cloud for processing quickly. Since laser's reflection range of LiDAR sensor is limited, multiple LiDAR should be used to scan a large area. In this reason multiple LiDAR sensor's data should be processed at once to detect or recognize object in real-time. Edge computer compress point cloud efficiently to accelerate data processing and decompress every data in the main cloud in real-time. In this way user can control LiDAR sensor in the main system without any bottleneck. The system we suggest solves the bottleneck which was problem on the cloud based method by applying edge computing service.

• Korean Journal of Plant Resources
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• v.35 no.5
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• pp.659-666
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• 2022

The effect of rye B chromosome (rye B) on chromosome association was investigated in meiosis of wheat addition line. The wheat addition line was with one Leymus mollis chromosome and one L. racemosus chromosome which are under homoeologous relationship. Chromosome behavior of the two Leymus chromosomes in wheat genetic background was revealed by genomic in situ hybridization. In the first metaphase, most of the two Leymus chromosomes showed univalent in the wheat addition line without rye B (98.1 ± 0.5%). On the other hand, the wheat addition line with rye B showed higher frequency of bivalent (10.3 ± 0.2%) than wheat addition line without rye B (1.9 ± 0.5%). The wheat addition line without rye B showed abnormal bivalents with abnormal structure while the wheat addition line with rye B showed normal bivalent in low frequency. By rye B, some bivalent was composed of wheat and L. racemosus, and some trivalent was composed of wheat bivalents with L. mollis chromosome. Also, some wheat bivalents showed hyper-crossover, so those wheat bivalents showed abnormal structure compared to other wheat bivalents with normal structure such as ring, rod, and pan.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.30-37
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• 2021

Various devices are connected to the Internet, and attacks using the Internet are occurring. Among such attacks, there are attacks that use malicious URLs to make users access to wrong phishing sites or distribute malicious viruses. Therefore, how to detect such malicious URL attacks is one of the important security issues. Among recent deep learning technologies, neural networks are showing good performance in image recognition, speech recognition, and pattern recognition. This neural network can be applied to research that analyzes and detects patterns of malicious URL characteristics. In this paper, performance analysis according to various parameters was performed on a method of detecting malicious URLs using neural networks. In this paper, malicious URL detection performance was analyzed while changing the activation function, learning rate, and neural network structure. The experimental data was crawled by Alexa top 1 million and Whois to build the data, and the machine learning library used TensorFlow. As a result of the experiment, when the number of layers is 4, the learning rate is 0.005, and the number of nodes in each layer is 100, the accuracy of 97.8% and the f1 score of 92.94% are obtained.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.136-150
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• 2022

In this study, a comparative review was conducted on how to use RGB images to obtain river topographic information, which is one of the most essential data for eco-friendly river management and flood level analysis. In terms of the topographic information of river zone, to obtain the topographic information of flow section is one of the difficult topic, therefore, this study focused on estimating the river topographic information of flow section through RGB images. For this study, the river topography surveying was directly conducted using ADCP and RTK-GPS, and at the same time, and orthomosiac image were created using high-resolution images obtained by drone photography. And then, the existing developed regression equations were applied to the result of channel topography surveying by ADCP and the band values of the RGB images, and the channel bathymetry in the study area was estimated using the regression equation that showed the best predictability. In addition, CCHE2D flow modeling was simulated to perform comparative verification of the topographical informations. The modeling result with the image-based topographical information provided better water depth and current velocity simulation results, when it compared to the directly measured topographical information for which measurement of the sub-section was not performed. It is concluded that river topographic information could be obtained from RGB images, and if additional research was conducted, it could be used as a method of obtaining efficient river topographic information for river management.

• Journal of Food Hygiene and Safety
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• v.37 no.6
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• pp.411-417
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• 2022

The purpose of this study was to evaluate protein hydrolysis and the amino acid ratio among different cuts of goat meat, such as the foreleg, hindleg, loin, and rib, using an in vitro digestion model. The corresponding cuts of beef and pork were used to compare with the goat meat. The hindleg (8.32%) and rib (8.32%) had the highest levels of protein hydrolysis among the goat cuts. There was no significant difference in protein hydrolysis between goat and pork (8.57%), ribs (P > 0.05), which had higher levels of protein hydrolysis than the beef ribs. Before digestion, the glutamine (53.44%) and glycine (11.03%) ratios were highest in the pre-digested goat foreleg and loin (P < 0.05). After in vitro digestion, goat ribs had the highest lysine ratio (17.54%) among the different cuts, and the lysine ratio was significantly higher in goat ribs than beef ribs (P < 0.05). This study provides basic data on protein hydrolysis and the amino acid composition of different cuts of goat meat, which may facilitate the evaluation of protein digestion patterns and bioavailability.

• The Korea Journal of Herbology
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• v.32 no.5
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• pp.57-63
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• 2017

Objectives : The aim of this study is to search Korean Medicine with the superior inhibitory effect of pancreatic lipase including a possibility as a well-matched sauce material with pork. Methods : We chose 5 samples which have the potent inhibitory effect of pancreatic lipase enzyme among 9 samples. 5 samples were Glycyrrhizae rhizoma, Cinnamomi cortex, Ganoderma lucidum, Syzygium aromaticum, and Schisandra chinensis. Animals were divided into eight groups (n=7). The experimental groups except for normal group were fed 60% high-fat diet. 5 samples were orally administered at a dose of 200 mg/kg body weight and orlistat were orally administrated at a dose of 60 mg/kg body weight for 7 days. Biochemical anaylses of 5 samples were executed based on lipid parameters such as triglyceride (TG) and total cholesterol (TC). Results : Korean Medicines with $IC_{50}$ of below $1mg/m{\ell}$ were Glycyrrhizae rhizoma, Cinnamomi cortex, Ganoderma lucidum, Syzygium aromaticum, and Schisandra chinensis. Body weight change of all drug-treated groups except Glycyrrhizae rhizoma reduced significantly during the experimental period. Orlistat treatment reduced significantly both TG and TC in serum. The significant emission of TG in fece showed in Cinnamomi cortex treatment, whereas Ganoderma lucidum and Syzygium aromaticum showed a tendency to increase without a significance. Besides, Ganoderma lucidum and Schisandra chinensis emitted significantly TC to fece. Conclusions : In conclusion, Cinnamomi cortex may exert anti-obesity effect by directly inhibiting pancreatic lipase, which would prevent the absorption of lipid from the small intestine. Accordingly, Cinnamomi cortex may suggest a high possibility as a well-matched sauce material with pork.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.2
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• pp.85-92
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• 2023

Respiratory infections such as COVID-19 mainly occur within enclosed spaces. The presence or absence of abnormal symptoms of respiratory infectious diseases is judged through initial symptoms such as fever, cough, sneezing and difficulty breathing, and constant monitoring of these early symptoms is required. In this paper, image matching correction was performed for the RGB camera module and the thermal imaging camera module, and the temperature of the thermal imaging camera module for the measurement environment was calibrated using a blackbody. To detection the target recommended by the standard, a deep learning-based object recognition algorithm and the inner canthus recognition model were developed, and the model accuracy was derived by applying a dataset of 100 experimenters. Also, the error according to the measured distance was corrected through the object distance measurement using the Lidar module and the linear regression correction module. To measure the performance of the proposed model, an experimental environment consisting of a motor stage, an infrared thermography temperature screening system and a blackbody was established, and the error accuracy within 0.28℃ was shown as a result of temperature measurement according to a variable distance between 1m and 3.5 m.

• Journal of The Korean Society of Clinical Toxicology
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• v.19 no.2
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• pp.83-92
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• 2021

Purpose: Glyphosate herbicide (GH) is a widely used herbicide and has been associated with significant mortality as poisoned cases increases. One of the reasons for high toxicity is thought to be toxic effect of its ingredient with glyphosate. This study was designed to determine differences in the clinical course with the salt-type contained in GH. Methods: This was a retrospective study conducted at a single hospital between January 2013 and December 2017. We enrolled GH-poisoned patients visited the emergency department. According to salt-type, patients were divided into 4 groups: isopropylamine (IPA), ammonium (Am), potassium (Po), and mixed salts (Mi) groups. The demographics, laboratory variables, complications, and their mortality were analyzed to determine clinical differences associated with each salt-type. Addtionally, we subdivided patients into survivor and non-survivor groups for investigating predictive factors for the mortality. Results: Total of 348 GH-poisoned patients were divided as follows: IPA 248, Am 41, Po 10, and Mi 49 patients. There was no difference in demographic or underlying disease history, but systolic blood pressure (SBP) was low in Po group. The ratio of intentional ingestion was higher in Po and Mi groups. Metabolic acidosis and relatively high lactate level were presented in Po group. As the primary outcome, the mortality rates were as follows: IPA, 26 (10.5%); Am, 2 (4.9%); Po, 1 (10%); and Mi, 1 (2%). There was no statistically significant difference in the mortality and the incidence of complications. Additionally, age, low SBP, low pH, corrected QT (QTc) prolongation, and respiratory failure requiring mechanical ventilation were analyzed as independent predictors for mortality in a regression analysis. Conclusion: There was no statistical difference in their complications and the mortality across the GH-salt groups in this study.

• Journal of Korea Water Resources Association
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• v.55 no.2
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• pp.135-145
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• 2022

This study aims to verify the Drone utilization and the accuracy of the global navigation satellite system (GNSS), Drone RGB (Photogrammetry) (D-RGB), and Drone LiDAR (D-LiDAR) surveying performance in the downstream reaches of the local stream. The results of the measurement of Ground Control Point (GCP) and Check Point (CP) coordinates confirmed the excellence. This study was carried out by comparing GNSS, D-RGB, and D-LiDAR with the values which the hydraulic characteristics calculated using HEC-RAS model. The accuracy of three survey methods was compared in the area of the study which is the ownership station, to 6 GCP and 3 CP were installed. The comparison results showed that the D-LiDAR survey was excellent. The 100-year frequency design flood discharge was applied in the channel sections of the small stream. As a result of D-RGB surveying 2.30 m and D-LiDAR 1.80 m in the average bed elevation, and D-RGB surveying 4.73 m and D-LiDAR 4.25 m in the average flood condition. It is recommended that the performance of D-LiDAR surveying is efficient method and useful as the surveying technique of the geospatial information using the drone equipment in stream channel.