• Title/Summary/Keyword: clean intersection

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CONICS IN QUINTIC DEL PEZZO VARIETIES

  • Kiryong Chung;Sanghyeon Lee
    • Journal of the Korean Mathematical Society
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    • v.61 no.2
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    • pp.357-375
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    • 2024
  • The smooth quintic del Pezzo variety Y is well-known to be obtained as a linear sections of the Grassmannian variety Gr(2, 5) under the Plücker embedding into ℙ9. Through a local computation, we show the Hilbert scheme of conics in Y for dimY ≥ 3 can be obtained from a certain Grassmannian bundle by a single blowing-up/down transformation.

A Field Study for Sustainable Community Empowerment through Appropriate Technology of Water Purification and the Concept of Feces Standard Money in Hatphain Village, Lao PDR

  • Heo, Huijin;Choi, Mi-Jin;Im, Tae Hyug;Cho, Jaeweon
    • Journal of Appropriate Technology
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    • v.7 no.2
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    • pp.151-161
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    • 2021
  • The application of appropriate technologies in a developing country is an opportunity to introduce green technology which may lead people to imagine a better life. This point is at the intersection of appropriate technology and sustainable development. This research focuses on Hatphain village where there is no clean water, sewage system, or power lines. Two environmental technologies (an unpowered water purification system, Ongdalsaem and an eco-toilet system, BeeVi toilet) were introduced, based on the concepts of the environmental self- sustainable village and feces Standard Money (fSM). We found that the Ongdalsaem was effective in reducing the concentration of nitrogen and lead in the water in Hatphain. The BeeVi water-free toilet was installed, allowing urine and feces to be separated and used as compost. We strived to spread ideas of sustainability using new eco-circulation experiences and encouraging learning about environmental technology through practical and playing facilities that residents managed themselves.

Deep Learning for Weeds' Growth Point Detection based on U-Net

  • Arsa, Dewa Made Sri;Lee, Jonghoon;Won, Okjae;Kim, Hyongsuk
    • Smart Media Journal
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    • v.11 no.7
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    • pp.94-103
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    • 2022
  • Weeds bring disadvantages to crops since they can damage them, and a clean treatment with less pollution and contamination should be developed. Artificial intelligence gives new hope to agriculture to achieve smart farming. This study delivers an automated weeds growth point detection using deep learning. This study proposes a combination of semantic graphics for generating data annotation and U-Net with pre-trained deep learning as a backbone for locating the growth point of the weeds on the given field scene. The dataset was collected from an actual field. We measured the intersection over union, f1-score, precision, and recall to evaluate our method. Moreover, Mobilenet V2 was chosen as the backbone and compared with Resnet 34. The results showed that the proposed method was accurate enough to detect the growth point and handle the brightness variation. The best performance was achieved by Mobilenet V2 as a backbone with IoU 96.81%, precision 97.77%, recall 98.97%, and f1-score 97.30%.

Development of a CNN-based Cross Point Detection Algorithm for an Air Duct Cleaning Robot (CNN 기반 공조 덕트 청소 로봇의 교차점 검출 알고리듬 개발)

  • Yi, Sarang;Noh, Eunsol;Hong, Seokmoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.1-8
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    • 2020
  • Air ducts installed for ventilation inside buildings accumulate contaminants during their service life. Robots are installed to clean the air duct at low cost, but they are still not fully automated and depend on manpower. In this study, an intersection detection algorithm for autonomous driving was applied to an air duct cleaning robot. Autonomous driving of the robot was achieved by calculating the distance and angle between the extracted point and the center point through the intersection detection algorithm from the camera image mounted on the robot. The training data consisted of CAD images of the duct interior as well as the cross-point coordinates and angles between the two boundary lines. The deep learning-based CNN model was applied as a detection algorithm. For training, the cross-point coordinates were obtained from CAD images. The accuracy was determined based on the differences in the actual and predicted areas and distances. A cleaning robot prototype was designed, consisting of a frame, a Raspberry Pi computer, a control unit and a drive unit. The algorithm was validated by video imagery of the robot in operation. The algorithm can be applied to vehicles operating in similar environments.

A Study for the Establishment of Appropriate Facilities Criteria of the Korean Welfare Devices Center (한국형 복지용구사업소의 적정 시설기준 수립을 위한 기초 연구)

  • Chin, Young Ran;Bae, Joa Sup;Chung, Jae Wook;Lee, Hyo Young
    • 한국노년학
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    • v.30 no.4
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    • pp.1163-1177
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    • 2010
  • This study was conducted to establish the appropriate facilities criteria of the Korean welfare devices center. We e-mail surveyed 194 welfare devices centers and analysed 13 blueprints of them. We established the following proper principles of facilities. First, consist type and area of room should depend on the type of welfare devices centers. Second, The flow of human and welfare devices should be simple. Third, the area calculated on the base of intent of center owner and the size of beds, wheelchairs, etc. Fourth, exhibit room facing with roadside may obtain advertising effect. Fifth, the storage and disinfecting room should use different entrance, and avoid the intersection of flow to prevent cross-contamination. Sixth, the access road to the exhibition and consulting room should be able to approach by the wheelchair. seventh, office room should be invisible to keep customer's privacy. Direct Cleaning-disinfecting type center on the premise that the maximum 165m2, middle 150m2, intermediate 140m2, display at least Consultation, Cleaning-disinfecting room, storage (clean, contaminated), the office, equipped with a parking space. Entrust Cleaning-disinfecting type center on the premise that a maximum 134m2, middle 119m2, intermediate 109m2 exhibited minimal activity room, consultation room, office, equipped with a parking space, collecting welfare when importing equipment warehouse (clean, pollution) have been proposed to equip up to.

Research of Seokgok(石谷), Lee Gyu Jun(李圭晙)'s Chinese Poem (석곡(石谷) 이규준(李圭晙)의 한시 연구)

  • Lee, Jun-Gyu
    • Korean Journal of Oriental Medicine
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    • v.18 no.2
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    • pp.17-24
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    • 2012
  • Research on Seokgok(石谷), Lee Gyu Jun(李圭晙, 1855~1923)'s thought and medicine was progressed from various angles. There is no research on Chinese poem(漢詩) accounting for the half of his collection of literary works, "Seokgoksango(石谷散稿)" yet. Hence, the article reviewed concerns on his life and what life he lived as a Confusion(儒家) writer through his Chinese poem. Should read "Seokgoksango", Seokgok's spiritual orientation and attitude to life were found to have its core in the Confusion(儒家的), especially ethical(道學的) aspect. Seokgok's Chinese poem materialized his spiritual composition more, able to access up to general emotional state, representing concerns and frustration of intellectuals in the latter era of the Choson Dynasty. Anxiety consciousness(憂患) of patriotism and love of the people which traditional intellectuals implicated enough at the turbulent era of early modern time appeared strongly in his works. Also works seeking for devotion(歸依) toward the clean world(淸明世界) staring at the corrupt world losing the national sovereignty at the same time and the expansion(擴散) was able to be found many. The latter half of the 19th century and the early 20th century when Seokgok lived was the period of changeover in the history of civilization called intersection between traditional era and modern times. His Chinese poem showed traditional intellectuals' anxiety, frustration, conflict, and hope based on such times. Along with the status of an Oriental, medical doctor and thinker, up to discussion on the quality of a writer, the intensified research on him is expected.