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A STUDY ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES FOR PREDICTING THE HEATING AND COOLING LOADS OF BUILDINGS 被引量:1
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作者 sushmita das Aleena Swetapadma Chinmoy Panigrahi 《Journal of Green Building》 2019年第3期115-128,共14页
The prediction of the heating and cooling loads of a building is an essential aspect in studies involving the analysis of energy consumption in buildings. An accurate estimation of heating and cooling load leads to be... The prediction of the heating and cooling loads of a building is an essential aspect in studies involving the analysis of energy consumption in buildings. An accurate estimation of heating and cooling load leads to better management of energy related tasks and progressing towards an energy efficient building. With increasing global energy demands and buildings being major energy consuming entities, there is renewed interest in studying the energy performance of buildings. Alternative technologies like Artificial Intelligence (AI) techniques are being widely used in energy studies involving buildings. This paper presents a review of research in the area of forecasting the heating and cooling load of buildings using AI techniques. The results discussed in this paper demonstrate the use of AI techniques in the estimation of the thermal loads of buildings. An accurate prediction of the heating and cooling loads of buildings is necessary for forecasting the energy expenditure in buildings. It can also help in the design and construction of energy efficient buildings. 展开更多
关键词 building energy performance heating and cooling load Artificial Neural Network Support Vector Machine Iteratively Reweighted Least Squares Random Forest
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Selection of a multi-species starter culture for mustard seed fermentation to enhance polyunsaturated fatty acids and improve gastrointestinal health markers
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作者 sushmita das Maloyjo Joyraj Bhattacharjee +1 位作者 Ashis KMukherjee Mojibur Rohman Khan 《Food Bioscience》 2024年第3期2955-2967,共13页
Fermented mustard seed is a unique delicacy from Assam,India,with many health benefits.The fermentation process involves a complex interplay of various microbes that give the final product its desired characteristics.... Fermented mustard seed is a unique delicacy from Assam,India,with many health benefits.The fermentation process involves a complex interplay of various microbes that give the final product its desired characteristics.A comprehensive understanding of fermented mustard’s microbial and metabolite composition can aid in optimizing the fermentation process,enabling the retention of maximum beneficial effects.This study reports the traditional fermentation process of mustard seeds,the composition of its native microbe-metabolite,and the development of a starter culture that increases the polyunsaturated fatty acid(PUFA)content.The fermented mustard seeds have a complex bacterial ecosystem comprising of Staphylococcus,Bacillus,Mammaliicoccus,Weisella,Corynebacterium,Aerococcus,Ruoffia,Paenibacillus,and Enterococcus.Moreover,untargeted metabolomics reveals that it is a rich source of functional metabolites,especially PUFA.Based on multi-omics approaches,the study deduced the core bacterial composition to be S.succinus,S.saprophyticus,and B.subtilis,with a strong positive correlation(p<0.05)with the synthesis of PUFA.Optimized fermentation experiments of mustard seed with the core bacterial group resulted in an enhanced PUFA content of 52.9%.Transcriptome study on HT-29 cells treated with optimized fermented mustard seed extract exhibited differential expression of genes linked to cellular pathways associated with gastrointestinal health,such as gut homeostasis,intestinal barrier integrity,immuno-modulatory,and neuronal development.This study revealed an omics-guided strategy for the development of starter-assisted controlled fermentation with experimental validation on fermented mustard seed. 展开更多
关键词 Fermented mustard seed Starter Omics PUFA Gastrointestinal health
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