• Journal of Wellness
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• v.14 no.2
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• pp.207-223
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• 2019

The purpose This study aimed at proposing class module elements for creativity and convergence and class models for creativity and convergence by integrating content elements by physical activity field(health, challenge, competition, ) for physical education and STEAM. For this, literature review, focus group interview(FGI) and discussions with experts were conducted, and the following study results have been drawn up: First, concerning the class module elements for creativity and convergence, total 11 class module elements in the health field were suggested including detecting risks by posture analysis and analyzing and designing amount of physical activity. Second, total 7 module elements in the challenge field were deduced such as anticipation of obstacles to target achievement and modeling of effective exercise. There were 17 convergence elements in the competition field including game record analysis and creation of game data storage application. Third, total 9 creativity and convergence module elements in the field include modeling of technology improvement for motion and symbolization for motion records. In addition, class modules related to convergence with engineering in the health field, convergence with technology in the challenge field, convergence with art in the competition field and convergence with art and mathematical symbols were proposed.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.3
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• pp.166-172
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• 2022

In this study, we photograph driving obstacle objects such as crosswalks, side spheres, manholes, braille blocks, partial ramps, temporary safety barriers, stairs, and inclined curb that hinder or cause inconvenience to the movement of the vulnerable using electric mobility aids. We develop an optimal AI model that classifies photographed objects and automatically recognizes them, and implement an algorithm that can efficiently determine obstacles in front of electric mobility aids. In order to enable object detection to be AI learning with high probability, the labeling form is labeled as a polygon form when building a dataset. It was developed using a Mask R-CNN model in Detectron2 framework that can detect objects labeled in the form of polygons. Image acquisition was conducted by dividing it into two groups: the general public and the transportation weak, and image information obtained in two areas of the test bed was secured. As for the parameter setting of the Mask R-CNN learning result, it was confirmed that the model learned with IMAGES_PER_BATCH: 2, BASE_LEARNING_RATE 0.001, MAX_ITERATION: 10,000 showed the highest performance at 68.532, so that the user can quickly and accurately recognize driving risks and obstacles.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.3
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• pp.130-137
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• 2023

Smart farms, which have been receiving attention as a solution to recent rural problems, refer to technologies that optimize the growing environment of crops and increase the productivity and quality of crops through efficient management. If the relationships between environmental data in smart farms are analyzed, additional productivity enhancement and crop management will be possible. In this paper, we propose a method for acquiring and analyzing nine environmental data, including temperature, humidity, CO2, soil temperature, soil moisture, insolation, soil EC, EC, and pH. Data acquisition is done through RS-485 communication between the main board and the sensor board and stored in the database after acquisition. The stored data is downloaded in Excel sheet format and analyzed through histograms, data charts, and correlation heatmaps. First, we analyze the distribution of total, day, and night data through histogram analysis, and identifiy the average, median, minimum, and maximum values by month through data chart analysis separating day and night to see how the data changes by month. Finally, we analyze the correlation of the data through a correlation heatmap analysis separating day and night. The results show a very strong positive correlation between temperature and soil temperature and soil EC and EC during the day, and a very strong positive correlation between temperature and soil temperature and soil EC and EC at night, and a strong negative correlation between temperature and soil EC.

• Design Convergence Study
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• v.14 no.4
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• pp.119-132
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• 2015

The enforcement of volume-rate disposal system which has been resulted in reducing the household waste and increasing the amount of recycled contents is showing positive effects that are generating social and economic benefits, However due to the lack of user's perception about how to separate and dispose of recycling wastes, some problems are constantly raised, like food waste is disposed in the standard volume-rate garbage bag. By rearranging visual information printed on standard plastic garbage bags (SPGB), this study attempted to find ways to deliver the information regarding how to use them properly. In order to achieve this, from the perspective of visual information design, the study examined the cases of visual information printed on nine SPGB from domestic and overseas. Among these, this study conducted a survey on user's awareness of visual information printed on SPGB in three districts of Seoul, Korea. As a result, user-preferred items were identified. Based on the result, this study selected information to be printed on SPGB, established the hierarchical order of the selected information, and proposed a guideline for using SPGB with informative graphics; therefore, the effectiveness of information delivery was improved. In addition, this study also examined the external validity of the guideline by comparing a survey on user's awareness.

• The Journal of Bigdata
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• v.7 no.2
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• pp.153-172
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• 2022

Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.

• Resources Recycling
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• v.32 no.6
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• pp.54-66
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• 2023

Titanium's importance as a mineral resource is increasing, but the Korean industry depends on imports. Ilmenite is the principal titanium ore. However, research and development from raw materials have not been investigated yet in detail. Hence, measures to secure a stable titanium supply chain are urgently needed. Accordingly, through beneficiation technology, we evaluated the possibility of technological application for the efficient recovery of valuable minerals. As a result of the experiments, we confirmed that mineral particles existed as fine particles due to weathering, making recovery through classification difficult. Consequently, applying beneficiation technologies, i.e., specific gravity separation, magnetic separation, and flotation, makes it possible to recover valuable minerals such as hematite and rutile. However, there are limitations in increasing the quality and yield of TiO₂ due to the mineralogical characteristic of the hematite and rutile contained in titanium ore. Hametite is combined with rutile even at fine particles. Therefore, it is essential to develop mineral processing routes, to recover iron, vanadium, and rare earth elements as resources. On that account, we used grinding technology that improves group separation between constituent minerals and magnetic separation technology that utilizes the difference in magnetic sensitivity between fine mineral particles. The development of beneficiation technology that can secure the economic feasibility of valuable materials after reforming iron oxide and titanium oxide components is necessary.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.68-68
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• 2020

최근 농촌진흥청과 기상청에서 발표한 연구자료에 따르면 2020년 기준으로 국내 경지면적의 10% 가량이 이미 아열대 기후대에 속하고 있을 뿐 현재 추세대로 온실가스가 배출될 경우 2100년경 우리나라의 대부분 지역은 아열대 기후대에 속하게 될 것으로 전망되고 있다. 이에 국가 기관뿐만 아니라 많은 지자체에서 기후변화에 대응하여 아열대 작물을 도입하기 위한 시도를 활발하게 추진하고 있다. 아열대 작물 중 국내에서 3번째로 많이 활용되고 있는 삼채는 기능성 물질을 다량으로 함유하고 있어 수요도가 지속적으로 증가하고 있다. 하지만, 삼채의 경우 일반적인 원예 작물과는 달리 실생 종자를 상업적으로 이용하고 있어 종자들의 발아율이 균일하지 못할 뿐만 아니라 발아율이 낮은 문제가 있는 것으로 보고되고 있다. 이에 삼채의 경우 농가에서 정식 시기를 맞추기 어려울 뿐만 아니라 대규모 생산을 위한 공정육묘 시스템의 적용이 어려운 상황에 있다. 종자 프라이밍 기술은 잠재적으로 종자 발아와 식물 생장을 빠르고 균일하게 해줄 수 있는 방법으로 알려져 있지만, 현재 삼채에서는 프라이밍 처리가 종자 발아에 미치는 영향에 대해서 검토한 사례가 없다. 따라서 본 연구는 삼채의 파종 효율을 증진시키기 위한 목적으로 몇 가지 프라이밍 처리 방법이 삼채의 발아특성에 미치는 영향을 검정하고자 하였다. 삼채 종자는 (주)아람종묘사의 종자를 구매하여 강릉원주대학교 생명과학대학에서 수행하였다. 프라이밍 처리는 Hydropriming은 증류수, Osmopriming은 CaCl2 1.0%, Halopriming은 Polyrthylene glycol 6000(PEG) 13.5%의 3가지를 사용하였으며, 각 프라이밍 처리 시간은 6시간, 12시간, 18시간, 24시간, 48시간 총 5가지 방법으로 처리되어 대조구를 포함 총 16개의 처리를 하였다. 프라이밍 처리 된 종자는 페트리디쉬 (50mm)에 30립씩 치상하였다. 프라이밍 각 처리구별 4반복으로 하였으며 24시간 암(Black), 온도 20℃의 조직배양실에서 치상 후 10일간 조사하였다. 본 실험 결과 대조구는 38% 발아율을 가졌으며, 프라이밍 처리 시간에 따른 각 처리구들은 대조구에 비해 발아율이 높아짐을 확인할 수 있었다. 그 중 Hydropriming 12시간 발아율 51%, Osmopriming 18시간 발아율 68%, Halopriming 48시간 발아율 65%로 각 프라이밍 처리구별 가장 좋은 발아율을 확인할 수 있었다. 결론적으로 삼채에서 프라이밍 처리 기술의 적용은 발아율의 향상과 발아기간의 정형화를 유도할 수 있어 농가에서의 일반 육묘는 물론이고 대규모 공정육묘를 위한 저렴하고 안전한 방법 중 하나로써 이용될 수 있을 것으로 기대되어 진다.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.2
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• pp.126-133
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• 2023

In this study, electromyography was obtained in the six muscle areas that move the joints of the two legs, and by analyzing it, an exercise robot system capable of gait rehabilitation was proposed in consideration of the individual's muscle state. Through this, the system was constructed to prevent the effect of exercise from decreasing because the patient's will was not reflected when walking exercise was simply provided automatically. As a result of the evaluation of the developed system, it was confirmed that the pedestrian rehabilitation robot system manufactured through this study had performance suitable for the design requirements, and it was also confirmed that the usability evaluation was comprehensively satisfactory. The results of this study are thought to be of great help to patients who are having difficulty in gait rehabilitation, and are believed to be helpful in the development of electromyography signal-based gait robot systems.

• Korean Journal of Plant Resources
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• v.37 no.1
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• pp.79-86
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• 2024

This study was conducted to determine the conditions for breaking dormancy in the seeds of the North Korean plant resource, Trollius macropetalus, and to investigate its germination characteristics. The morphological characteristics and viability of T. macropetalus seeds were examined. Germination characteristics were investigated based on temperature conditions (15/6℃ & 25/15℃), cold stratification treatment, and GA₃ treatment. The results showed that cold stratification treatment had no effect on breaking the dormancy of T. macropetalus. GA₃ treatment significantly increased the germination rate of T. macropetalus and also improved the mean germination days and germination speed. However, compared to the 15/6℃ condition, the effectiveness of GA₃ treatment for T. macropetalus decreased under the 25/15℃ condition. It was determined that T. macropetalus have a nondeep-type morpho-physiological dormancy. The most effective conditions for breaking dormancy were found to be the 15/6℃ temperature condition and GA₃ treatment at 500 mg·L^-1. The findings of this study are expected to provide valuable information for the mass propagation of T. macropetalus, which has potential applications in landscaping and pharmaceutical materials.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.2
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• pp.173-188
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• 2024

With the advancement of autonomous vehicle (AV) technology, autonomous driving on real roads has become feasible. However, there are challenges in achieving complete autonomy due to perceptual blind areas, which occur when the AV's sensory range or capabilities are limited or impaired by surrounding objects or environmental factors. This study aims to analyze AV accident patterns and safety issues of perceptual blind area that may occur in urban areas, with the goal of developing test scenarios for Level 4+ autonomous driving. It utilized AV accident data from the California Department of Motor Vehicles (DMV) to compare accident patterns and characteristics between AVs and conventional vehicles based on activation status of autonomous mode. It also categorized AV disengagement data to identify types and real-world cases of disengagements caused by perceptual blind areas. The analysis revealed that AVs exhibit different accident types due to their safe driving maneuvers, and three types of perceptual blind area scenarios were identified. The findings of this study serve as crucial foundational data for developing Level 4+ autonomous driving test scenarios, enabling the design of efficient strategies to mitigate perceptual blind areas in various scenarios. This, in turn, is expected to contribute to the effective evaluation and enhancement of AV driving safety on real roads.