• Title/Summary/Keyword: 선별성능

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Reclaimed Products to Recycling and Energy Recovery for Sustainable Use of Closed Non Sanitary Landfills through Reclamation Works (사용종료(使用終了) 비위생매립지(非衛生埋立地)의 순환적(循環的) 사용(使用)을 위한 선별물질(選別物質)의 활용(活用) 가능성(可能性) 평가(評價))

  • Lee, Byung-Sun;Na, Kyung-Duk;Han, Sang-Kuk;Phae, Chae-Gun;Oh, Sae-Eun
    • Resources Recycling
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    • v.21 no.1
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    • pp.17-29
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    • 2012
  • potential assessment of converting closed non sanitary landfills into sustainable landfill through the reclamation works(= landfill mining project) of illegal landfill discovered in land development site using Sustainable Landfill Reclamation system(SLR-system) was investigated. The SLR system had treatment capacity of 91.4 $m^3/hr$ (130.61 ton/hr) in condition of 28.0% of water content. Recovery ratio and purity of sorted soil were 98.9% and 99.66%, respectively. Sorted combustibles were 91.8% and 92.0%, respectively. Especially, high heating value (HHV) and low heating value(LHV) of combustibles were 4,282kcal/kg and 3,636 kcal/kg, respectively, in considering the energy content and recovery ratio of combustibles. Therefore, combustibles separated from landfill site have higher value than Fluff RDF standard value(3,500kcal/kg) of MOE. RDF can be produced with combustibles by 84.43%. Averaged size and organic foreign matter content of the sorted soil were less than 035mm and 0.31 %(VN), respectively. In addition, concentration of all contents of hazardous matters containing soils met safety standards. Therefore, it is possible to be recycled as refilling and cover materials to rebuild Sustainable landfills by 98.42%.

A Proposal of Rapid-Screening Method for Seismic Capacity Evaluation of Low-Rise R/C Buildings - Part 1. Concept of Seismic Capacity Evaluation - (저층 철근콘크리트 건물의 간이 내진성능 평가법 제안 - Part 1. 내진성능평가의 개념 -)

  • Lee, Kang-Seok;Kim, Yong-In;Wi, Jeong-Doo;Hwang, Ki-Tae
    • Proceedings of the Korea Concrete Institute Conference
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    • 2009.05a
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    • pp.463-464
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    • 2009
  • This study proposes a new rapid-screening method for more reasonably evaluation the seismic capacities of low-rise RC buildings controlled by both shear and flexure. At the same time, this develops the equation of damage judgement and seismic capacity evaluation for quantitatively evaluating the seismic capacities. Using this evaluating method, it is impossible to estimate the evaluation score and earthquake-damage degree confronted with this and evaluate for efficiently the seismic capacities

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Fruit's Defective Area Detection Using Yolo V4 Deep Learning Intelligent Technology (Yolo V4 딥러닝 지능기술을 이용한 과일 불량 부위 검출)

  • Choi, Han Suk
    • Smart Media Journal
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    • v.11 no.4
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    • pp.46-55
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    • 2022
  • It is very important to first detect and remove defective fruits with scratches or bruised areas in the automatic fruit quality screening system. This paper proposes a method of detecting defective areas in fruits using the latest artificial intelligence technology, the Yolo V4 deep learning model in order to overcome the limitations of the method of detecting fruit's defective areas using the existing image processing techniques. In this study, a total of 2,400 defective fruits, including 1,000 defective apples and 1,400 defective fruits with scratch or decayed areas, were learned using the Yolo V4 deep learning model and experiments were conducted to detect defective areas. As a result of the performance test, the precision of apples is 0.80, recall is 0.76, IoU is 69.92% and mAP is 65.27%. The precision of pears is 0.86, recall is 0.81, IoU is 70.54% and mAP is 68.75%. The method proposed in this study can dramatically improve the performance of the existing automatic fruit quality screening system by accurately selecting fruits with defective areas in real time rather than using the existing image processing techniques.

Development of Vegetable Soybeans Thresher(II) - Threshing and sorting characteristic - (풋콩 탈협기 개발을 위한 기초 연구(II) - 탈협 및 선별 특성 -)

  • 김태한;임학규;이정택
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2002.02a
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    • pp.539-547
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    • 2002
  • 본 연구는 풋콩 탈협기 개발을 위한 기초연구로서 풋콩 탈협기의 급치를 교환할 수 있고, 급동의 주속도와 송풍팬의 회전속도 및 공기 흡입구의 개구면적을 조절할 수 있는 실험장치를 제작하고, 급치의 종류가 풋콩의 탈협 및 손상에 미치는 영향을 분석하였다. 또한 송풍팬의 회전속도와 흡입 공기구의 개구비 변화 따른 선별 성능을 분석하였다. 그 결과를 요약하면 다음과 같다. 1 급치의 종류에 따른 풋콩의 미 탈협율은 철선 급치가 최대 1.6%, 최소 0.0%,평균 0.7%로서 가장 낮게 나타났고, 그 다음이 경도 60의 고무제 급치로서 최대 2.0%, 최소 0.0% 평균 1.1%, 경도 80의 고무제 급치는 최대 2.5%, 최소 0.0% 평균 1.7% 순으로 높아졌다. 또한 풋콩의 미탈협율은 급동 원주속도가 18m/s에서 55m/s로 증가할수록 감소하였다. 이는 급동의 원주 속도가 증가함에 따라 급치의 선단이 풋콩 꼬투리에 가하는 타격력이 증가하기 때문인 것으로 생각된다. 2. 급치의 종류에 따른 풋콩의 손상율은 경도 80의 고무제 급치는 최대 5.2%, 최소 1.3%, 평균 2.8%로서 가장 낮게 나타났고, 그 다음이 경도 60의 고무제 급치로서 최대 5.7%, 최소 2.4% 평균 3.8%, 철선 급치는 최대 6.3%, 최소 2.6% 평균 4.2% 순으로 높아졌다. 또한 풋콩의 손상율은 급동 원주속도가 증가할수록 풋콩 꼬투리의 손상율은 증가하였다. 이 또한 급등의 원주 속도가 증가함에 따라 급치의 선단이 풋콩 꼬투리에 가하는 타격력이 증가하기 때문인 것으로 생각된다. 3. 공기흡입구의 개구면적을 증가시킬수록 선별율은 높게 나타났으나 개구비가 60%이상에서는 선별율이 크게 차이가 나지 않았으며, 송풍팬의 원주속도를 높일수록 선별율은 높게 나타났다.도 콤바인이 직선구간 및 선회구간을 주행하며 수확작업이 가능함을 알 수 있었다. 그러나 곡선구간에서는 최대오차가 65.5 cm로 매우 크게 나타나, 콤바인을 무인 자율주행으로 수확하기에는 어려움이 있는 것으로 나타났다. 실제 포장은 이론적인 완전한 직선보다는 작은 굴곡이 있는 곡선의 형태가 이루어져 있으므로 주행 오차를 감소하기 위해서는 기계시각을 이용하면 보다 정밀한 조향을 이룰 수 있을 것으로 예상된다. 포장에서 DGPS 신호, 자이로 센서 등을 이용한 콤바인의 무인주행 장치는 무인 수확작업을 위한 가능성을 보여주었고, 일부의 센서의 기능을 개선하면 만족한 성능을 나타낼 수 있을 것으로 판단된다.dislocations form local defect arrangements at the grooves permitting the substantial reduction in defect density over the remainder of the interfacial area.한 최대의 감자 재배지역을 형성하였다. 제주도는 산지지형과 따뜻한 기온으로 2기작이 가능하고, 감자가공 공장설립과 교통발달에 따른 육지 시장과의 접근이 용이해졌기 때문에 남한에서 2번째로 큰 감자재배지역이 되었다.(요약 및 결론에서 발췌)그람양성균에서 효과적이었으며, 농도별 항균력시험 결과 농도가 증가할수록 비례하여 저해율도 증가함을 알 수 있었다. 첨가농도를 달리하여 미생물의 생육도를 측정한 결과, fraction II磎꼭\ulcorner경우 그람양성균에 대해 500 ppm 이상에서 뚜렷한 증식억제효과를 나타내었다.서 뚜렷한 증식억제효과를 나타내었다.min/+}$계 수컷 이형접합체 형질전환 마우스에 AIN-76A 정제사료만을 투여한 대조군은 1.40$\pm$

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Forecasting Daily Demand of Domestic City Gas with Selective Sampling (선별적 샘플링을 이용한 국내 도시가스 일별 수요예측 절차 개발)

  • Lee, Geun-Cheol;Han, Jung-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.10
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    • pp.6860-6868
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    • 2015
  • In this study, we consider a problem of forecasting daily city gas demand of Korea. Forecasting daily gas demand is a daily routine for gas provider, and gas demand needs to be forecasted accurately in order to guarantee secure gas supply. In this study, we analyze the time series of city gas demand in several ways. Data analysis shows that primary factors affecting the city gas demand include the demand of previous day, temperature, day of week, and so on. Incorporating these factors, we developed a multiple linear regression model. Also, we devised a sampling procedure that selectively collects the past data considering the characteristics of the city gas demand. Test results on real data exhibit that the MAPE (Mean Absolute Percentage Error) obtained by the proposed method is about 2.22%, which amounts to 7% of the relative improvement ratio when compared with the existing method in the literature.

Isolation and Characterization of Microorganisms for the Development of Fermentation Accelerator of Animal Manure (가축분뇨 발효제의 개발을 위한 미생물 분리 및 특성조사)

  • Kim, So-Young;Kim, Hong;Choi, Hee-Jung
    • KSBB Journal
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    • v.18 no.6
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    • pp.466-472
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    • 2003
  • Several microorganisms were isolated and characterized for the development of fermentation accelerator of animal manure. Firstly, 61 species were isolated from rice bran extract. Secondly, five strains of microorganisms were screened by the analysis of hydrolysis activities for organic compounds including protease, cellulase, amylase, and lipase. From a deodorization test for ammonia gas using the isolated strains, finally three bacterial strains were selected (NA 2, 12, 15). The selected strains, NA 2 and 15 were identified as Bacillus acidocaldarius and Planococcus sp. respectively. The media composition of key nutrients and pH for the mixed culture of the three selected strains were optimized using an experimental design method (response surface method) as follows : beef extract (4.59g/L), peptone (8.72g/L) and pH 6.3. Consequently, the isolated microorganisms seem to have potential applicability in the animal manure treatment.

Fabrication of Movable Separator for Site to Discharge Medium and Large-Scale Mixed Construction Waste from Agricultural Areas and Its Efficiency Evaluation (농촌지역 혼합건설폐기물의 중·소규모 배출현장용 이동식 분리선별기 제작 및 선별 효율 성능평가)

  • Kim, Byung-Yun;Park, Ji-Sun
    • Journal of the Korean Institute of Rural Architecture
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    • v.23 no.1
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    • pp.1-8
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    • 2021
  • In this study, a real-sized experimental equipment (pilot plant) was built at the site based on the preliminary research data to develop a movable separator for the mixed construction waste that can be implemented in agricultural areas to review its feasibility through the evaluation of its separation efficiency by waste types. The final construction of the movable separator and experimental results of the separation efficiency are summarized as follows. 1) The separation performance according to the blade type was the best for the combustible wastes either with 26 numbers of L-type blades and 32 numbers of pin type blades. As far as combination of blade types, when the L-type and pin-type were combined, the best separation efficiency was achieved. 2) The separation efficiency for waste wood by the conveyor type and angle of inclination (slope) of the trommel was the best when the conveyor had ribs of seagull shape with the angle of inclination 45°. 3) The separation efficiencies by process showed that 65.9% was separated as inorganic demolition wastes, 18.2% as waste woods, and 16.0% as combustible wastes at conveyor speed of 2-3 rpm, and the error rate was the least from the waste types generated in the dismantle site.

Test Dataset for validating the meaning of Table Machine Reading Language Model (표 기계독해 언어 모형의 의미 검증을 위한 테스트 데이터셋)

  • YU, Jae-Min;Cho, Sanghyun;Kwon, Hyuk-Chul
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.164-167
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    • 2022
  • In table Machine comprehension, the knowledge required for language models or the structural form of tables changes depending on the domain, showing a greater performance degradation compared to text data. In this paper, we propose a pre-learning data construction method and an adversarial learning method through meaningful tabular data selection for constructing a pre-learning table language model robust to these domain changes in table machine reading. In order to detect tabular data sed for decoration of web documents without structural information from the extracted table data, a rule through heuristic was defined to identify head data and select table data was applied. An adversarial learning method between tabular data and infobax data with knowledge information about entities was applied. When the data was refined compared to when it was trained with the existing unrefined data, F1 3.45 and EM 4.14 increased in the KorQuAD table data, and F1 19.38, EM 4.22 compared to when the data was not refined in the Spec table QA data showed increased performance.

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Analysis of Mackerel Sorting Performance for Development of Automatic Mackerel Grader (고등어 자동 선별기 개발을 위한 고등어 선별 성능 분석)

  • Jun, Chul-Woong;Sohn, Jeong-Hyun;Choi, Myung Gu
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.15 no.3
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    • pp.115-121
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    • 2016
  • A mackerel grader is a machine for sorting mackerel according to size. In this study, the dynamic deflection and optimal sorting simulation of a mackerel grader was carried out by using multi-body dynamics. To analyze the dynamic deflection of the roller, RecurDyn, a multi-body dynamics analysis program, was used. The dynamic deflection of the roller pipe was analyzed according to the inclination of the roller pipe. When the inclination of the roller pipe was 30 degrees, the roller indicated the maximum deflection of about 6.3 mm at the center of the mass. To simulate the mackerel sorting, the mackerel grader machine was modeled, and the contact simulation between the mackerel model and the rotating roller pipe was carried out. When the inclination of the roller frame was 7 degrees, the mackerel grader indicated optimal sorting performance.