• Journal of The Korean Society of Grassland and Forage Science
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• v.42 no.3
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• pp.146-154
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• 2022

This experiment was conducted to evaluate the growth characteristics and productivity of silage corn varieties developed in Korea. Corn cultivation was carried out using the experimental field in the Pyeongchang campus of Seoul National University (550 m above sea level). There have 10 domestic cultivars (Gwangpyeongok, Dacheongok, Yanganok, Jangdaok, Cheongdaok, Daanok, Sinhwangok, Sinhwangok II, Pyeonggangok, and Hwangdaok) with one imported cultivar (P1543) which tested as a control, and randomized block design with three replications. Among the 100-grains weight of the seeds, Dacheongok was the heaviest, and the germination rate for each variety was 74.6% on average, while that of Daanok and Sinhwangok were over 90%. Sinhwangok was the fastest in tasseling and silking date. The number of days required to be silking date was as slow as 85 days in Dacheongok, Cheongdaok and Pyeonggangok, and as fast as 80 days or less in Sinhwangok, Sinhwangok II and Hwangdaok. The plant height of P1543 was the highest as 344cm, and Hwangdaok and Daanok were short. In terms of the ratio of ears, Daanok had the highest rate of 60.18%, and Jangdaok and Dacheongok had the lowest. There was no significant difference in dry matter content in stover, but P1543 was generally higher in ear and total dry matter content. The dry matter yield was highest in P1543, and the yield of TDN was significantly higher in P1543 and Yanganok. There was a significant difference in the crude protein content of ears and the dry digestibility of stems (p<0.05), while there was no significant difference in the content of each part or element. Combining the above results, Yanganok was the highest in terms of yield, and Dacheongok, Sinhwangok and Pyeonggangok were also recommended for domestically grown corn varieties in the mountainous regions of Gangwon-do.

• Physical Therapy Rehabilitation Science
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• v.9 no.4
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• pp.252-260
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• 2020

Objective: Disorder of the autonomic nervous system is considered to be the cause of primary dysmenorrhea. The spine has a close relationship with the autonomic nervous system, and the sacrum is mechanically and neurologically connected to the uterus through ligaments. Therefore, this study was conducted to check the effect on the autonomic nervous system through measurement of heart rate variability by applying manual therapy to the sacroiliac joints of subjects with primary dysmenorrhea and to suggest an effective treatment method for dysmenorrhea. Design: Randomized controlled trial. Methods: Thirty females with dysmenorrhea were assigned to either the manual therapy group and sham treatment group according to the random treatment method. The manual therapy was applied to the sacroiliac joints, and the sham treatment was only treated with the hands placed in the same position of the intervention. Heart rate variability and the Visual Analogue Scale (VAS) were measured on the day when menstruation began ±2. Interventions were performed between the groups, followed by a 5-minute break and then re-measurements were made. Results: There were significant differences in autonomic balance and VAS scores in the manual therapy group before and after the intervention between groups (p<0.05). In the sham treatment group, there were significant differences in low frequency, autonomic balance, and VAS scores (p<0.05). There were significant differences in autonomic balance between groups (p<0.05). Conclusions: In females with primary dysmenorrhea, manual therapy applied to the sacroiliac joint was found to be effective for a short time on autonomic activity.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.53-60
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• 2022

The purpose of this study is to identify the causal relationship of the structural model through approach motivation, avoidance motivation, and digital usage recognition in order to prepare a plan for coexistence with dental hygiene targeting 239 students from the dental hygiene department at a university in Gangwon-do. For statistical methods, SPSS Statistics 24.0 program and AMOS 21.0 were used. As a result of the structural equation model analysis, the motivation for approach was found to be significantly related to digital usage recognition and class satisfaction. In addition, digital usage perception was found to be significantly related to class satisfaction, and class satisfaction was shown to be significantly related to department satisfaction and department recommendation. Lastly, department satisfaction was significantly found in department recommendation. In other words, the coexistence plan with dental hygiene (department) is to expand the convergence of digital classes. In order to solve the problem, it is necessary for schools to establish facilities to expand teaching materials for practical classes and to devise teaching methods.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.3
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• pp.63-73
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• 2022

A more accurate understanding of the irrigation water supply is necessary for efficient agricultural water management. Although we measure water levels in an irrigation canal using ultrasonic water level gauges, some errors occur due to malfunctions or the surrounding environment. This study aims to apply CNN (Convolutional Neural Network) Deep-learning-based image classification and segmentation models to the irrigation canal's CCTV (Closed-Circuit Television) images. The CCTV images were acquired from the irrigation canal of the agricultural reservoir in Cheorwon-gun, Gangwon-do. We used the ResNet-50 model for the image classification model and the U-Net model for the image segmentation model. Using the Natural Breaks algorithm, we divided water level data into 2, 4, and 8 groups for image classification models. The classification models of 2, 4, and 8 groups showed the accuracy of 1.000, 0.987, and 0.634, respectively. The image segmentation model showed a Dice score of 0.998 and predicted water levels showed R² of 0.97 and MAE (Mean Absolute Error) of 0.02 m. The image classification models can be applied to the automatic gate-controller at four divisions of water levels. Also, the image segmentation model results can be applied to the alternative measurement for ultrasonic water gauges. We expect that the results of this study can provide a more scientific and efficient approach for agricultural water management.

• Korean Journal of Heritage: History & Science
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• v.55 no.3
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• pp.178-188
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• 2022

This article cites examples of cultural heritages that urgently require protection measures, and the reinterpretation of beacons, fortresses, and extremities identified in the process of conducting a cultural heritage investigation of the DMZ and bordering areas. It is true that there are various difficulties involved in implementing thorough protection measures considering the reality of the two Koreas' division. Despite this, the "Ordinance for the Protection of Military Cultural Properties" and the "Act on the Protection and Investigation of Buried Cultural Heritage" have been enacted and are in effect. In particular, in the "Ordinance for the Protection of Military Cultural Properties," the value of protecting "military assets" is emphasized. The identification and investigation of cultural heritages in the DMZ and border areas must continue. Although field research is currently difficult, the primary investigation conducted by high-altitude terrain analysis and literature research is considered effective. Furthermore, there are parts that require correction and supplementation with future field investigations. Although some trial and error is expected during these various cultural heritage investigations, they need to continue.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.643-651
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• 2022

This study was conducted to examine the oral health, dental treatment and insurance awareness of the community during the COVID-19 period from September 1 to October 29, 2021 for patients who visited a local dental clinic in Gangwon-do. For analysis, SPSS Statistics 24.0 program was used. As a result of the analysis, it was found that oral health status, interest in oral health, and awareness of health insurance expansion affect dental treatment during the COVID-19 period. In addition, those who did not receive oral health education, those with a high school diploma or lower, and those with poor oral health showed positive results for dental treatment during the COVID-19. In conclusion, it is necessary to expand publicity on oral health education, and to list the cost of infection control in health insurance and separate compensation materials. In future research, I think that it is necessary to conduct research through a variety of subjects and study the expansion of insurance in detail.

• Journal of Korean Society of Disaster and Security
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• v.15 no.3
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• pp.31-40
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• 2022

Domestic disaster risk maps are mainly produced and studied as a single disaster map by grid unit and disaster type. In particular, it is necessary to present an evaluation method of the disaster risk map that is more suitable for the relevant facility (local road) in order to utilize the work of practitioners who are mainly in charge of facility maintenance. In this study, an evaluation method was presented to evaluate the risk with a focus on local roads by using the landslide risk map and debris flow risk map provided by the Korea Forest Service. In addition, the risk was evaluated and verified for the provinces located in Gangwon-do. As a result of the evaluation, it was possible to evaluate the risk of grades 1 to 5 for 1,513 evaluation sections in the evaluation section with a total length of 234.59 km.

• Journal of Practical Agriculture & Fisheries Research
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• v.24 no.3
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• pp.33-43
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• 2022

This study was conducted to monitor the vegetation recovery in the areas damaged by the forest fires on the east coast that occurred in April 2000. The study site was a forest fire-damaged area in Samcheok-si, Gangwon-do, and 21 monitoring areas (12 natural restoration sites, 9 artificial restoration sites) were selected to analyze the vegetation recovery trend since 1998. The vegetation recovery trend was compared by calculating the values according to the year using the difference Normalized Burn Ratio (dNBR) and Normalized Difference Vegetation Index (NDVI) based on satellite images (Landsat TM/ETM+ and Sentinel-2A). As the result of this study, all 21 sites, vegetation was recovered, and both groups showed the greatest recovery in summer. In the case of the dNBR, the artificial restored sites showed higher values than the natural restored sites, and in the case of the NDVI, the natural restored sites were higher than the artificially restored sites in summer and autumn. However, the difference between the two groups of natural and artificial restoration sites was not significant. Therefore, the direction of forest restoration after forest fire damage can be effectively restored if properly implemented for the purpose of restoration of the target site.

• Journal of Environmental Science International
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• v.31 no.9
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• pp.803-813
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• 2022

In this study, we improved the water-based condensation particle counter in Atmospheric Research Aircraft NARA and investigated the condensation particle number concentration over the Korean peninsula. Pump and set point information were changed to improve the instrument used by aircraft for observation. Ground-based observational result showed that the error between two instruments, which are water-based condensation particle counter and butanol-based condensation particle counter, was 4.7%. Aerial observational result revealed that the number concentration before improvement indicate large variation with unstable condition, whereas the number concentration after improvement indicate a reasonable variation. After improvement, the number concentration was 706±499 particle/cm³ in the West Sea and 257±80 particle/cm³ in Gangwon-do, and these are similar to the concentration range reported in previous studies. Notably, this is the first attempt to use aerial observation with water-based condensation particle counter to investigate condensation particle number concentration.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.248-248
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• 2023

In recent years, the number of landslides in Korea has been increasing due to extreme weather events such as localized heavy rainfall and typhoons. Landslides often occur with debris flows, land subsidence, and earthquakes. They cause significant damage to life and property. 64% of Korea's land area is made up of mountains, the government wanted to predict landslides to reduce damage. In response, the Korea Forest Service has established a 'Landslide Information System' to predict the likelihood of landslides. This system selects a total of 13 landslide factors based on past landslide events. Using the LR technique (Logistic Regression) to predict the possibility of a landslide occurrence and the accuracy is known to be 0.75. However, most of the data used for learning in the current system is on landslides that occurred from 2005 to 2011, and it does not reflect recent typhoons or heavy rain. Therefore, in this study, we will apply a total of six machine learning techniques (KNN, LR, SVM, XGB, RF, GNB) to predict the occurrence of landslides based on the data of Inje, Gangwon-do, which was recently produced by the National Institute of Forest. To predict the occurrence of landslides, it is necessary to process converting landslide events and factors data into a suitable form for machine learning techniques through ArcGIS and Python. In addition, there is a large difference in the number of data between areas where landslides occurred or not. Therefore, the prediction was performed after correcting the unbalanced data using Tomek Links and Near Miss techniques. Moreover, to control unbalanced data, a model that reflects soil properties will use to remove absolute safe areas.