• 제목/요약/키워드: artificial chemical

검색결과 714건 처리시간 0.029초

Artificial Neural Network Prediction of Normalized Polarity Parameter for Various Solvents with Diverse Chemical Structures

  • Habibi-Yangjeh, Aziz
    • Bulletin of the Korean Chemical Society
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    • 제28권9호
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    • pp.1472-1476
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    • 2007
  • Artificial neural networks (ANNs) are successfully developed for the modeling and prediction of normalized polarity parameter (ETN) of 216 various solvents with diverse chemical structures using a quantitative-structure property relationship. ANN with architecture 5-9-1 is generated using five molecular descriptors appearing in the multi-parameter linear regression (MLR) model. The most positive charge of a hydrogen atom (q+), total charge in molecule (qt), molecular volume of solvent (Vm), dipole moment (μ) and polarizability term (πI) are input descriptors and its output is ETN. It is found that properly selected and trained neural network with 192 solvents could fairly represent the dependence of normalized polarity parameter on molecular descriptors. For evaluation of the predictive power of the generated ANN, an optimized network is applied for prediction of the ETN values of 24 solvents in the prediction set, which are not used in the optimization procedure. Correlation coefficient (R) and root mean square error (RMSE) of 0.903 and 0.0887 for prediction set by MLR model should be compared with the values of 0.985 and 0.0375 by ANN model. These improvements are due to the fact that the ETN of solvents shows non-linear correlations with the molecular descriptors.

생인공피부를 이용한 독성 반응 시험 (Use of Cultured Bioartificial Skins as in vitro Models for Cutaneous Toxicity Testing)

  • Yang, Eun-Kyung;Yoon, Hee-Hoon;Park, Jung-Keug;Park, Soo-Nam;Ko, Kang-Il;Kim, Ki-Ho
    • 대한화장품학회지
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    • 제26권1호
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    • pp.17-40
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    • 2000
  • Cytotoxicity assays using artificial skins have been proposed as in vitro alternatives to minimize animal ocular and dermal irritation testing. Accordingly, the responses of artificial skins to the well-characterized chemical irritants toluene, glutaraldehyde, and sodium lauryl sulfate (SLS), and the nonirritant polyethylene glycol were studied. The evaluation of the irritating and non-irritating test chemicals was also compared with the responses observed in human dermal fibroblasts and human epidermal keratinocytes grown in a monolayer culture. The responses monitored included an MTT mitochondrial functionality assay. In order to better understand the local mechanisms involved in skin damage and repair, the production of several mitogenic proinflammatory mediators, interleukin-l$\alpha$, 12-HETE, and 15-HETE, was also investigated. Dose-dependent increases in the levels of かIn and the HETEs were observed in the underlying medium of the skin systems exposed to the two skin irritants, glutaraldehyde and SLS. The results of the present study show that both human artificial skins can be used as efficient in vitro testing models for the evaluation of skin toxicity and for screening contact skin irritancy.

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Application of artificial neural networks for the prediction of the compressive strength of cement-based mortars

  • Asteris, Panagiotis G.;Apostolopoulou, Maria;Skentou, Athanasia D.;Moropoulou, Antonia
    • Computers and Concrete
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    • 제24권4호
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    • pp.329-345
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    • 2019
  • Despite the extensive use of mortar materials in constructions over the last decades, there is not yet a robust quantitative method, available in the literature, which can reliably predict mortar strength based on its mix components. This limitation is due to the highly nonlinear relation between the mortar's compressive strength and the mixed components. In this paper, the application of artificial neural networks for predicting the compressive strength of mortars has been investigated. Specifically, surrogate models (such as artificial neural network models) have been used for the prediction of the compressive strength of mortars (based on experimental data available in the literature). Furthermore, compressive strength maps are presented for the first time, aiming to facilitate mortar mix design. The comparison of the derived results with the experimental findings demonstrates the ability of artificial neural networks to approximate the compressive strength of mortars in a reliable and robust manner.

화학물질 사고 현황 및 사례 데이터를 이용한 인공지능 사고 원인 예측 모델에 관한 연구 (A Study on Artificial Intelligence Models for Predicting the Causes of Chemical Accidents Using Chemical Accident Status and Case Data)

  • 이경현;백락준;정혜성;김우수;최희정
    • 문화기술의 융합
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    • 제10권5호
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    • pp.725-733
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    • 2024
  • 본 연구는 환경부 산하 화학물질안전원에서 제공하는 2014년 1월부터 2024년 1월까지의 화학물질 사고 현황 및 사례 데이터 865건을 활용하여 인공지능 기반 사고 원인 예측 모델을 개발하는 것을 목표로 한다. 본 연구에서는 6개의 인공지능 모델을 사용해 데이터를 학습시키고, 평가지표로는 정확도(Accuracy), 정밀도(Precision), 재현율(Recall), F1 스코어(F1 Score)를 비교 분석하였다. 2020년부터 2024년까지의 화학물질 사고 사례 데이터 356건을 바탕으로, 2021년부터 2022년까지 화학물질안전원에서 제시한 화학사고 원인 조사 및 유사 사고 재발 방지 방안을 추가로 학습 데이터셋에 적용했다. 다층 퍼셉트론(Multi-Layer Perceptron) 모델의 경우 정확도 0.6590, 정밀도 0.6821로 분석되었고, 로지스틱 회귀(Logistic Regression) 모델은 정확도는 0.6647에서 0.7778로, 정밀도는 0.6790에서 0.7992로 향상되어 로지스틱 회귀 모델이 화학사고 원인 예측에 가장 효과적임을 확인하였다.

옥상녹화 후 인공토양의 이화학적 특성 변화 (Changes in the Physiochemical Characteristics of Artificial Soil after Rooftop Planting)

  • 안원용;김동엽
    • 한국조경학회지
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    • 제28권6호
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    • pp.77-83
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    • 2001
  • The purpose of this study is to provide the fundamental material and information for the plant maintenance after rooftop planting through physiochemical characteristics. The characteristics of artificial soils after rooftop planting from 1993 to 1999 was investigated. Fourteen investigation areas were selected from 4 cities(2 areas selected by each year). The analysis of the circumstances of the areas, the physical characteristics, and the chemical characteristics of the soil were conducted. The artificial soil pH ranged 5.26∼7.40 showing that after construction the soil pH tended to decrease. The soil bulk density of the site was lowest in 1999, 0.15g/㎤, and used to increase toward 1993. We found the fact that the soil bulk density increased gradually after rooftop application . The coefficients of permeability of the soils range from 0.016 to 0.052 cm/sec, which seemed to be in good permeability level. The artificial soils had relatively high water moisture capacity of 62.69∼71.36%. The soil organic matter content of the artificial soils ranged from 0.43 to 1.34%. The exchangeable caution concentration in the artificial soil ranged, Na, 2.36∼4.71mg·{TEX}$kg^{-1}${/TEX}, Mg 0.88∼2.84mg·{TEX}$kg^{-1}${/TEX},K 2.97∼9.61 mg·{TEX}$kg^{-1}${/TEX}, and Ca 9.39∼28.23 mg·{TEX}$kg^{-1}${/TEX}. The amount of total N ranged from 0.003 to 0.286% in study sites. Soil chemical properties varied year to year and showed little tend. The research results showed that some characteristics of the artificial soil were changed after rooftop planting, i.e., soil pH and soil bulk density. Soil bulk density had a negative relationship with the coefficient of permeability, showing that the drainage condition might be limited after some period. This study suggests that a diversity of the research in the changes of the plant growth basis on the areas after construction.

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Design rules for creating sensing and self-actuating microcapsules

  • Kolmakov, German V.;Yashin, Victor V.;Balazs, Anna C.
    • Smart Structures and Systems
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    • 제7권3호
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    • pp.199-211
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    • 2011
  • Using computational modeling, we design a pair of biomimetic microcapsules that exploit chemical mechanisms to communicate and alter their local environment. As a result, these synthetic objects can undergo autonomous, directed motion. In the simulations, signaling microcapsules release "agonist" particles, while target microcapsules release "antagonist" particles and the permeabilities of both capsule types depend on the local particle concentration in the surrounding solution. Additionally, the released nanoscopic particles can bind to the underlying substrate and thereby create adhesion gradients that propel the microcapsules to move. Hydrodynamic interactions and the feedback mechanism provided by the dissolved particles are both necessary to achieve the cooperative behavior exhibited by these microcapsules. Our model provides a platform for integrating both the spatial and temporal behavior of assemblies of "artificial cells", and allows us to design a rich variety of structures capable of exhibiting complex dynamics. Due to the cell-like attributes of polymeric microcapsules and polymersomes, material systems are available for realizing our predictions.

슬러지를 이용한 인공토양 생산 및 농자재화 가능성 연구 (Feasibility Study of Artificial Soil Production with Sludge and Utilization for Agriculture)

  • 김선주;윤춘경;이남출
    • 한국농공학회지
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    • 제39권5호
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    • pp.64-70
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    • 1997
  • Sludge is generated in the process of water and wastewater treatment, and it has been causing various problems environmentally and economically. The firing technology in pottery industry was applied to the sludge treatment, and the final product was called artificial soil. For the production of artificial soil, lime and chabazite was used as additive, and the mixed material was thermally treated in the firing kiln at $300^{\circ}$ temperature for about 15 minutes. The physico-chemical characteristics of the artificial soil was analyzed and it showed that the artificial soil could be used as a soil conditioner for farmland. The concentrations of the toxic heavy metals in the artificial soil were lower than those in the soil quality standard for farmland. It was high in permeability, total nitrogen and total phosphorous concentrations and surface area of the artificial soil compared to the common field soil. Preliminary cost analysis showed that the sludge treatment cost for artificial soil was less than the disposal cost in the current landfill disposal method. This study illustrated that the artificial soil production process can be a feasible alternative for sludge treatment, and produced artificial soil may he applied to farmland without causing significant adverse effect. Further study is recommended for practical application of the system and verification of the longterm effect of the artificial soil on farmland.

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인공해수에서 구리의 부식과 부동화 반응 (Corrosion and Passivation of Copper in Artificial Sea Water)

  • 천정균;김연규
    • 대한화학회지
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    • 제51권4호
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    • pp.305-311
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    • 2007
  • 정류상태(steady state)와 과도상태(transient state)의 Tafel 기울기, 순환 전압-전류 곡선, 임피던스 측정자료에 기초하여 인공해수에서 구리의 부식과 부동화에 대한 반응 메커니즘을 제안하였다. 구리의 산화환원 반응은 인공해수에서의 산소농도와 전극전위에 의존함을 알 수 있었다.

High frequency Plant Regeneration of Garlic (Allium sativum L.) Calli Immobilized in Calcium Alginate Gel

  • Kim, Min-A;Park, Joong-Kon
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제7권4호
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    • pp.206-211
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    • 2002
  • Calli obtained from a shoot-tip of garlic, Allium sntivum L., were encapsulated using a calcium alginate gel. Some of the encapsulated calli were cultured on a 1/2 MS medium supplemented with 3% sucrose, 10$\^$-5/ kinetin, and 5 ${\times}$ 10$\^$-6/ M NAA whereas the remainder was stored for 40 days at 4$^{\circ}C$. All the naked calli regenerated on the solid medium, while 95% of the encapsulated calli regenerated, and 88% of the encapsulated calli regenerated after 40 days of storage at 4$^{\circ}C$. The capsule matrix delayed the germination time of the encapsulated calli, yet activated the shoot formation of the artificial garlic seeds. The shoot length of the encapsulated garlic calli was much longer than that of the naked garlic calli. The encapsulated garlic calli were dried in a laminar airflow cabinet and the conversion frequency of the dried artificial garlic seeds on a 1/2 MS medium remained at 93% with a water Loss of Less than 50%.