• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.17-22
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• 2020

In this paper, we measured the user's EEG signal and classified the EEG signal using the Support Vector Machine algorithm and measured the accuracy of the signal. An experiment was conducted to measure the user's EEG signals by separating men and women, and a single channel EEG device was used for EEG signal measurements. The results of measuring users' EEG signals using EEG devices were analyzed using R. In addition, data in the study was predicted using a 80:20 ratio between training data and test data by applying a combination of specific vectors with the highest classifying performance of the SVM, and thus the predicted accuracy of 93.2% of the recognition rate. This paper suggested that the user's EEG signal could be recognized at about 93.2 percent, and that it can be performed only by simple linear classification of the SVM algorithm, which can be used variously for biometrics using EEG signals.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.85-93
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• 2018

The purpose of the study was to investigate the prevalence and risk factors of chronic obstructive pulmonary disease(COPD) among nonsmokers from the 6th Korea National Health and Nutrition Examination Survey(2013-2015). We used complex sample cross analysis and logistic regression analysis on 4, 911 non-smokers among the patients with chronic obstructive pulmonary disease over 40 years of age. In general characteristics, the prevalence of COPD is higher in the old(p<.001), men(p<.001), rural(p=.044), without spouses(p<.001), less educated(p<.001), agriculture(p<.001). Also, the non-smoker's COPD risk factor is age(p<.001), gender(p<.001), education(p=.022), occupation(p=.022), pulmonary tuberculosis(p<.001), asthma(p<.001). It is necessary to develop a respiratory rehabilitation and intervention program that can be applied in clinical practice based on nursing assessment considering the COPD prevalence and risk factors.

• Electronics and Telecommunications Trends
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• v.30 no.2
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• pp.49-58
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• 2015

최근 농업분야에 있어 ICT(Information and Communications Technology)기술을 접목하여 농/축산물 및 식품의 생산, 유통, 판매, 소비 전주기 프로세스에 대한 생산성, 안전성, 경제성 및 품질 향상과 각 단계의 활동 주체(생산, 유통, 소비)들 간에 상생의 생태계 구축을 위한 스마트농업 기술이 대두되고 있다. 이 스마트농업 기술은 농업 가치사슬 전반에 걸쳐 IT(Information Technology)와의 접목을 통해 1차 산업인 농업을 6차 산업으로 발전시킴으로써, 고기능, 고효율화는 물론, 부가가치 제고, 생산비 절감, 환경오염 최소화, 농촌생활의 편리성 증대로 지속 가능한 농업을 구현할 수 있을 것으로 기대되는 기술이다. 본고에서는 스마트농업 기술에 관한 배경, 정책 및 시장동향, 기술 및 표준화동향을 제시하고 향후 지속적인 발전을 위한 스마트농업에 관한 표준화 정책을 제언한다.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.11b
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• pp.146-153
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• 2000

The rubber crawler system for farm machine is composed of driving units such as track rollers, driving sprockets and rubber crawlers. Vibration characteristics of the rubber crawler system varies by driving speed, center of gravity, mass□moment of inertial□location arrangement of track rollers and dynamic parameters such as dynamic spring constant (k) and viscous damping coefficient (c) of a rubber crawler. In general, vibration of the rubber crawler system occurs by reason for mechanical interaction between the rubber crawler and track rollers. Because the dynamic spring constant and viscous damping coefficient vary periodically by mechanical characteristics(deformation characteristics) of the rubber crawler when track rollers drive on the between lugs of the rubber crawler. Therefore, both dynamic parameters k and c were expressed as Fourier series by authors through the shaking test of the rubber crawler and further, vibration characteristics of the rubber crawler system could be simulated analytically. However, actual values of dynamic parameters k and c are different from those obtained by the shaking test because dynamic characteristics of the rubber crawler vary by the effect of variable tension and driving resistance of track rollers. So, actual values of k and c should be identified in the condition of actual driving test. In this study, dynamic parameters such as k and c of the rubber crawler system, which are expressed as Fourier series, were identified using the Gauss-Newton Method. Therefore, validity of identified parameters k and c was discussed through the simulation using experimental data of actual driving test. As a result, in the Fourier series of dynamic parameters of spring constant k and viscous damping coefficient c, excellent parameter convergence and simulation were observed using the Fourier series' zero order and first term of the dynamic model. Furthermore, it was clarified that identification for model parameters which are fitted to actual dynamic motion (vibration) wave of the crawler system was possible by using the time series data observed in vertical and pitching motion of the crawler system.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.132-140
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• 2020

It is very important to use appropriate nutrition water for crop growth in hydroponic farming facilities. However, in many cases, the supply of nutrition water is not designed with a precise plan, but is performed in a conventional manner. We proposes a forecasting technique for nutrition water requirements based on a data analysis for optimal strawberry production. To do this, the proposed forecasting technique uses linear regression for correlating strawberry production, soil condition, and environmental parameters with nutrition water demand for the actual two-stage strawberry production soil. Also, it includes predicting the optimal amount of nutrition water requires according to the heterogeneous cultivation environment and variety by comparing the amount of nutrition water needed for the growth and production of different kinds of strawberries. We suggested study uses two types of section beds that are compared to find out the best section bed production of strawberry growth. The dataset includes 233 samples collected from a real strawberry greenhouse, and the four predicted variables consist of the total amounts of nutrition water, average temperature, humidity, and CO₂ in the greenhouse.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.2
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• pp.469-480
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• 2019

The purpose of this study is to enhance the cultural heritage value of the Juk-Bang-Ryeum (Bamboo Weir) and prove the originality through the review of historical literature. The main industry of Korean was agriculture and fishery from ancient. In the ancient, fishery instruments are not enough due to the lack of fishing technology. The Juk-Bang-Ryeum was considered as important national resources and asset. It give us many implications about the wisdom of our ancestors because of it's scientific principle of the structure. It is surely a cultural heritage to preserve in the future because it is considered as important community asset as well as more natural and environment oriented fishing method. In the literature, the origin of 'Juk-Bang-Ryeum' can be found as 'Eo-Ryang' or 'Bang-Ryeum'. The records on this terminology go back to the Corea Dynasty, but their documentary records are rare, and most of them are records of the Chosun Dynasty. In this study, we surveyed mainly the literature records about the southern coast region in the period of Chosun Dynasty. This study contributes for preserving the cultural assets of our ancestors who pursued eco-friendly fishery method, and it is also of great significance to produce objective data based on records for the registration of the World Record Heritage.

• Journal of Animal Science and Technology
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• v.65 no.3
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• pp.638-651
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• 2023

The objective of this study was to quantitatively estimate the level of grazing area damage in outdoor free-range pig production using a Unmanned Aerial Vehicles (UAV) with an RGB image sensor. Ten corn field images were captured by a UAV over approximately two weeks, during which gestating sows were allowed to graze freely on the corn field measuring 100 × 50 m². The images were corrected to a bird's-eye view, and then divided into 32 segments and sequentially inputted into the YOLOv4 detector to detect the corn images according to their condition. The 43 raw training images selected randomly out of 320 segmented images were flipped to create 86 images, and then these images were further augmented by rotating them in 5-degree increments to create a total of 6,192 images. The increased 6,192 images are further augmented by applying three random color transformations to each image, resulting in 24,768 datasets. The occupancy rate of corn in the field was estimated efficiently using You Only Look Once (YOLO). As of the first day of observation (day 2), it was evident that almost all the corn had disappeared by the ninth day. When grazing 20 sows in a 50 × 100 m² cornfield (250 m²/sow), it appears that the animals should be rotated to other grazing areas to protect the cover crop after at least five days. In agricultural technology, most of the research using machine and deep learning is related to the detection of fruits and pests, and research on other application fields is needed. In addition, large-scale image data collected by experts in the field are required as training data to apply deep learning. If the data required for deep learning is insufficient, a large number of data augmentation is required.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.1-7
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• 2017

This study was conducted to investigate changes in ginsenoside by continuously treating fine bubble, which are mainly used for environmental purification, in 2-year-old ginseng. The ginsenoside content and composition of ginseng leaves and roots were analyzed for 4 months (120 days) after application of Fine bubble. As a result of treatment with common water in leaves, only Re of protopanaxatriol was significantly higher and As a result of treatment with fine buble, it was confirmed that protopanaxadiol Rb1, RC, Rb2 and Rd components were also increased. Especially, the increase of Re and Rb1 resulted in an increase of total ginsenoside. The ratio of PD / PT to ginseng was 0.811 in finebubble treated leaves and 1.28 in root. The fine bubble treatment induced the synthesis of ginsenoside from the roots and resulted in a PD / PT ratio of close to 1. Therefore, this study suggests a method of cultivating high quality ginseng using fine bubble water and suggests possibility of using it as a functional food material which can be used with leaves as well as roots.

• Journal of Environmental Science International
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• v.25 no.5
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• pp.625-633
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• 2016

This study was conducted to investigate the influence of hydrophilic polymer (HP) mixture ratio (Control, 1.0%, 2.5%, 5.0%, and 10.0%) on growth of eggplant (Solanum melongena) for lower maintenance urban agriculture via green roofs. Although it was not statistically significant (p > 0.05), substrate temperature was decreased as hydrophilic polymer mixture ratio were increased. High substrate water content (95%) was found consistently in growing media under elevated hydrophilic polymer mixture ratio at over 5% during the entire growing period. Substrate electronic conductivity was increased as hydrophilic polymer mixture ratio were increased. Growth index was decreased as hydrophilic polymer mixture ratio was increased. It was reduced about 1/3 and 1/5 compared to that of Control in HP5.0 and HP10.0 treatment plants, respectively. Number of leaves, leaf length, and leaf width were decreased in following order: Control> HP1.0> HP2.5> HP5.0> HP10.0 treatments. There numbers were significantly lower in HP5.0 and HP10.0 treatment plants. Dry weight of shoot and root were decreased as hydrophilic polymer mixture ratio was increased. They were reduced by 1/4 compared to those of Control treatment plants. In addition, visual value was decreased as hydrophilic polymer mixture ratio was increased. Plants grown in HP1.0, HP2.5, and HP5.0 treatments all survived. However, plants grown in the HP10.0 treatment had the lowest survival rate (56%) after 3 months of growing. These results indicate that the advantage of adding hydrophilic polymer to green roof growing media may greater during dry periods. However, the proper mixture proportion of hydrophilic polymer should be determined according to different characteristics of growing media and plant species.

• Convergence Security Journal
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• v.20 no.4
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• pp.61-70
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• 2020

The unmanned aerial vehicle that emerged with the 4th Industrial Revolution attracts attention not only from Korea but also from around the world, and its utilization and market size are gradually expanding. For the first time, it was used for military purposes, but it is currently used for transportation, investigation, surveillance, and agriculture. China, along with the US and Europe, is emerging as a leader in the commercial unmanned aerial vehicle market, and Korea, which has the world's seventh-largest technology in related fields, is striving to promote various technology development policies and system improvement related to unmanned aerial vehicles. Military drones will revolutionize the means of war by using a means of war called an unmanned system based on theories such as network-oriented warfare and effect-oriented warfare. Mobile equipment, including drones, is greatly affected by environmental factors such as terrain and weather, as well as technological developments and interests in the field. Now, drones are being used actively in many fields, and especially in the military field, the use of advanced drones is expected to create a new defense environment and provide a new paradigm for war.