• 제목/요약/키워드: BioSIM

검색결과 864건 처리시간 0.033초

Hydrodeoxygenation of Spent Coffee Bio-oil from Fast Pyrolysis using HZSM-5 and Dolomite Catalysts

  • Park, Jeong Woo;Ly, Hoang Vu;Linh, Le Manh;Tran, Quoc Khanh;Kim, Seung-Soo;Kim, Jinsoo
    • Clean Technology
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    • 제25권2호
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    • pp.168-176
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    • 2019
  • Spent coffee is one of biomass sources to be converted into bio-oil. However, the bio-oil should be further upgraded to achieve a higher quality bio-oil because of its high oxygen content. Deoxygenation under hydrotreating using different catalysts (catalytic hydrodeoxygenation; HDO) is considered as one of the promising methods for upgrading bio-oil from pyrolysis by removal of O-containing groups. In this study, the HDO of spent coffee bio-oil, which was collected from fast pyrolysis of spent coffee ($460^{\circ}C$, $2.0{\times}U_{mf}$), was carried out in an autoclave. The product yields were 72.16 ~ 96.76 wt% of bio-oil, 0 ~ 18.59 wt% of char, and 3.24 ~ 9.25 wt% of gas obtained in 30 min at temperatures between $250^{\circ}C$ and $350^{\circ}C$ and pressure in the range of 3 to 9 bar. The highest yield of bio-oil of 97.13% was achieved at $250^{\circ}C$ and 3 bar, with high selectivity of D-Allose. The carbon number distribution of the bio-oil was analyzed based on the concept of simulated distillation. The $C_{12}{\sim}C_{14}$ fraction increased from 22.98 wt% to 27.30 wt%, whereas the $C_{19}{\sim}C_{26}$ fraction decreased from 24.74 wt% to 17.18 wt% with increasing reaction time. Bio-oil yields were slightly decreased when the HZSM-5 catalyst and dolomite were used. The selectivity of CO was increased at the HZSM-5 catalyst and decreased at the dolomite.

Pervaporative Recovery of Bio-butanol through Dense- and Composite-type PDMS Membranes (PDMS막을 이용한 바이오 부탄올 분리정제와 투과증발 특성에 관한 연구)

  • Kim, Jeong-Hoon;Ryu, Bi-Ho;Chang, Bong-Jun;Kim, Woo-Nyon
    • Membrane Journal
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    • 제19권2호
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    • pp.157-164
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    • 2009
  • Bio-butanol recovery by pervaporation was performed with dense and composite polydimethylsiloxane (PDMS) membranes. The pervaporative behavior of the membranes was investigated as a function of operation temperature $(20{\sim}40^{\circ}C)$ and membrane thickness $(100{\sim}1{\mu}m)$ using a series of aqueous BtOH model solutions $(1{\sim}5wt%)$. With the increment of the BtOH concentration in feed, the Butanol concentration in permeate, pervaporation selectivity of Butanol over water and Butanol permeation flux increased. As the operating temperature of feed solutions increased, the BtOH concentration in permeate, pervaporation selectivity and permeation flux increased markedly. As the thickness of the PDMS membrane decreased, permeation flux increased but pervaporation selectivity decreased. These results were explained in terms of high solubility and low diffusion resistance of BtOH over water toward hydrophobic and rubbery PDMS membranes.

Quality Characteristic of Glasswort (Salicornia herbacea L.) Fermented by Bacillus subtilis (Bacillus subtilis를 이용하여 발효시킨 퉁퉁마디(Salicornia herbacea L.)의 품질 특성)

  • Park, In-Bae;Park, Jeong-Wook;Lee, Young-Jae;Shin, Gung-Won;Kim, Hae-Seop;Jo, Yeong-Cheol
    • Journal of the Korean Society of Food Science and Nutrition
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    • 제38권7호
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    • pp.902-908
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    • 2009
  • In this study, we investigated the quality of glasswort (Salicornia herbacea L.) fermented by Bacillus subtilis at $37^{\circ}C$ for 48 hours. We determined the changes in temperature, the contents of moisture, crude protein, crude fat, crude ash, carbohydrate, solid content, pH, Brix, salinity, free amino acid, Hunter's color value, electron donating ability (EDA) activities and angiotensin converting enzyme (ACE) inhibition. The contents of crude protein, crude fat, crude ash and carbohydrate after fermentation to mixing ratio of glasswort were $10.45{\sim}30.18%$, $11.69{\sim}19.26%$, $17.65{\sim}25.56%$ and $21.01{\sim}59.10%$ (dry basis), respectively. The solid content, pH, sugar and salinity of fermented glasswort were $39.56{\sim}52.25%$, $6.01{\sim}6.71$, $1.2{\sim}1.7$ Brix and $0.3{\sim}0.6%$, respectively. Total amino acid level of the fermented glasswort was $447.57{\sim}668.89\;mg$/100 g, and was the highest in glasswort mixed with rice bran at a ratio of 1 (w) : 1 (w). Moreover, aspartic acid, asparagine, glutamic acid, alanine, valine, $\beta$-aminoisobutyric acid, lysine and arginine were the main free amino acids. EDA activities and ACE inhibition after fermentation were $46.66{\pm}1.21{\sim}50.87{\pm}1.84%$ and $96.77{\pm}1.23{\sim}97.56{\pm}1.23%$, respectively.

The Development of Jeans Pattern for Non-Stretch Denim Fabrics - The Comparison of Bio, Bio Stone, Bio Stone Bleach Washing Finishing - (비신축성 데님 청바지의 패턴 연구 - 워싱 가공 종류를 중심으로 -)

  • Uh, Mi-Kyung;Kim, Kyung-A;Suh, Mi-A
    • The Research Journal of the Costume Culture
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    • 제16권3호
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    • pp.461-474
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    • 2008
  • The purpose of this study was to present a making method of jeans pattern with high fitness after deriving the appropriate shrinkage rate by material and washing process. Research Method of jeans pattern was presented after applying the optimized shrinkage rate. According to the result of the exterior evaluation of test jeans, all 6 jeans were rated high with scores close to 3.5. Following the evaluation of satisfaction of usage by physical movement, the highest ranking was in the order of walking with normal steps, back bending $90^{\circ}$, chair sitting, climbing stairs, and squatting. The shrinkage rate by physical area showed the highest score in the order of pants length, waist circumference, thigh circumference, knee circumference, hem circumference, hips circumference. In addition, the shrinkage rate was higher in warp direction than weft direction after washing finishing. As for the result of addition and reduction of pattern measurements by parts of jeans, waist circumference was $2.5{\sim}5.2cm$, hips circumference was $-1.8{\sim}2.8cm$, thigh circumference was $-1.3{\sim}2.0cm$ and knee circumference was $-1.0{\sim}1.7cm$. Also, hem circumference was $-1.0{\sim}1.8cm$ and pants length was $2.9{\sim}6.2cm$. That is, this results showed a wide range of addition and reduction according to material and washing finishing.

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Optimization of Extraction Condition on Fig (Ficus carica L.) by Response Surface Methodology (반응표면분석법에 의한 무화과 열수 추출조건의 최적화)

  • Kim, Jung-Ok;Kwon, Soon-Tae;Lee, Gee-Dong;Hong, Joo-Heon;Moon, Doo-Hwan;Kim, Tae-Wan;Kim, Dae-Ik
    • Food Science and Preservation
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    • 제15권1호
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    • pp.66-73
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    • 2008
  • Response surface methodology (RSM) was applied for monitor the yields of desirable substances from fig (Ficus carica L) under different extraction conditions. The maximum yield was 66.46% at 22.08 mL/g of solvent to sample ratio, $90.59^{\circ}C$ extraction temperature and 148.04 min extraction time. The maximum total phenolics was $121.31{\mu}g/mL$ at 17.87 mL/g, $98.82^{\circ}C$, and 130.80 min. The maximum electron donating ability was 54.09% at $121.31{\mu}g/mL$, 18.13 mL/g, and $98.81^{\circ}C$. The maximum value of protease activity was 54.51 unit/min at 17.45 mL/g, $99.01^{\circ}C$, and 131.43 min. In addition, the maximum value of reducing sugar content was 19.14 mg/mL in 22.66 mL/g, $86.30^{\circ}C$, and 153.59 min. The optimum conditions estimated by RSM for maximal extraction of the effective components were $17{\sim}25$ mL/g of solvent to sample ratio, $80{\sim}100^{\circ}C$ of extraction temperature, and $100{\sim}170$ min of extraction time.

A Research on Re-examining Discriminator Design Space for Performance Improvement of ESRGAN (ESRGAN의 성능 향상을 위한 판별자 설계 공간 재검토에 관한 연구)

  • Sung-Wook Park;Jun-Yeong Kim;Jun Park;Se-Hoon Jung;Chun-Bo Sim
    • Annual Conference of KIPS
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    • 한국정보처리학회 2023년도 춘계학술발표대회
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    • pp.513-514
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    • 2023
  • 초해상은 저해상도의 영상을 고해상도 영상으로 합성하는 기술이다. 이 기술에 딥러닝이 적용되어, 2014년에는 SRCNN(Super Resolution Convolutional Neural Network) 모델이 발표됐다. 이후에는 SRCAE(Super Resolution Convolutional Autoencoders)와 GAN(Generative Adversarial Networks)을 기반으로 한 SRGAN(Super Resolution Generative Adversarial Networks) 등, SRCNN의 성능을 능가하는 모델들이 발표됐다. ESRGAN(Enhanced Super Resolution Generative Adversarial Networks)은 SRGAN 모델의 성능을 개선했지만, 완벽한 성능을 내지 못하는 문제점이 있다. 이에 본 논문에서는 판별자(Discriminator) 구조를 변경하여 ESRGAN의 성능을 개선한다. 실험 결과, 제안하는 모델이 ESRGAN보다 더 높은 성능을 보일 것으로 기대된다.

Enhanced Hybrid Quantum-Classical Convolutional Neural Networks (향상된 하이브리드 양자-고전적 컨벌루션 신경망)

  • Sung-Wook Park;Jun-Yeong Kim;Jun Park;Se-Hoon Jung;Chun-Bo Sim
    • Annual Conference of KIPS
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    • 한국정보처리학회 2023년도 추계학술발표대회
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    • pp.481-482
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    • 2023
  • 양자 컴퓨팅 환경에서 빅데이터를 이용하는 Quantum Artificial Intelligence(QAI)는 빠른 계산 속도를 추구한다. 최근 금융, 물류, 교통 분야의 QAI 모델과 이미지 분류용 quantum convolutional neural network가 소개됐지만 아직 완벽한 성능은 달성하지 못했다. 본 논문은 성능 향상을 위한 모듈을 새로 제시하고, 이를 소형 양자 컴퓨터에 적용하며 하이브리드 모델 구성을 가능하게 한다. 실험 결과, 제안하는 방법은 기존 네트워크와 비교해 우수한 성능을 보였다.

Effects of Bio-degradable Mulches on the Yield of Maize and the Density of Soil Microbe

  • Lim, Soo-Jeong;Lee, Min-Bum;Kim, Se-Won;Kim, Jang-Su;Heo, Su-Jeong;Choi, Seung-Chul;Yoon, Byeong-Sung;Kim, In-Jong
    • Korean Journal of Soil Science and Fertilizer
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    • 제49권4호
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    • pp.375-380
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    • 2016
  • The use of polyethylene film has a problem such as increasing rural environmental contamination, collection costs and farmers' workload. The objective of this study was to evaluate bio-degradable films in terms of yield of maize and soil environment. Treatments were bio-degradable film A (BDF A), bio-degradable film B (BDF B), high density polyethylene (HDPE), and non-mulched (NM) soil. Daily mean values of soil temperature (10 cm depth) under BDF A, BDF B, and HDPE were higher than in NM soil by 2.2, 2.8, $3.1^{\circ}C$ respectively. In the mulching cultivation of maize, bio-degradable film began to degrade from 50~60days after the planting. The degradation was much progressed in the harvest time and almost decomposed in the following spring. The weight of ear of maize was not shown significantly by mulching treatments. There were little changes of soil chemical properties for the bio-degradable film mulching. After using bio-degradable films, the contents of biomass-C and dehydrogenase activity increased from 92 to $137{\sim}147mg\;kg^{-1}$, and from 87 to $123{\sim}168mg\;kg^{-1}$ respectively.

Research Trend of Bio-oil Production from Biomass by using Fast Pyrolysis (바이오매스로부터 급속 열분해를 통한 바이오오일의 생산기술 연구동향)

  • Kim, Jae-Kon;Park, Jo Yong;Yim, Eui Soon;Ha, Jong Han
    • Journal of the Korean Applied Science and Technology
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    • 제31권3호
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    • pp.453-465
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    • 2014
  • The paper provides a review on bio-oil production technology from biomass by using fast pyrolysis to use heating fuel, power fuel and transport fuel. One of the most promising methods for a small scale conversion of biomass into liquid fuels is fast pyrolysis. In fast pyrolysis, bio-oil is produced by rapidly heating biomass to intermediate temperature ($450{\sim}600^{\circ}C$) in the absence of any external oxygen followed by rapid quenching of the resulting vapor. Bio-oil can be produced in weight yield maximum 75 wt% of the original dry biomass and bio-oils typically contain 60-75% of the initial energy of the biomass. In this study, it is described focusing on the characterization of feedstock, production principle of bio-oil, bio-oil's property and it's application sector.

Methodology to Simultaneously Optimize the Inlet Ozone Concentration to Oxidize NO and Relative Humidity Composition for the $NO_x$ Degradation using Soil Bio-filter

  • Cho, Ki-Chul;Hwang, Kyung-Chul
    • Journal of Korean Society for Atmospheric Environment
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    • 제24권E2호
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    • pp.83-91
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    • 2008
  • This work investigated the methodology to simultaneously optimize the ozone and relative humidity composition for the $NO_x$ degradation using soil biofilter. Experiments were made as a function of inlet ozone concentration ($0{\sim}1,770\;ppb$) and relative humidity ($38{\sim}81%$). Factorial design ($2^2+3$) and response surface methodology by central composite designs were used to examine the role of two factors and optimal response condition on $NO_x$ degradation. It was found that a second-order response surface model can properly interpret the experimental data with an $R^2$-value of 0.9730 and F-value of 71.83, based on which the maximum $NO_x$ degradation was predicted up to 92.8% within our experimental conditions.