Whey is an abundant by-product of cheese production process and it is considered a special waste due to its high nutritional load and hypertrophic potential. Technologies for whey valorization are available. They can ...
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ISBN:
(纸本)9781424492695
Whey is an abundant by-product of cheese production process and it is considered a special waste due to its high nutritional load and hypertrophic potential. Technologies for whey valorization are available. They can convert such waste into high-value products, like whey proteins. However, the remaining liquid (called permeate) is still considered as a polluting waste due to its high lactose concentration. The alcoholic fermentation of lactose into ethanol will simultaneously achieve two important goals: safe disposal of a pollutant waste and green energy production. This methodology paper illustrates the workflow carried out to design and realize an optimized microorganism that can efficiently perform the lactose-to-ethanol conversion, engineered via synthetic biology experimental and computational approaches.
Aim: To investigate the underlying relationship between obesity and the extent of emphysema depicted at CT. Methods and materials: A dataset of 477 CT examinations was retrospectively collected from a study of chronic...
Quantized kernel least mean square (QKLMS) algorithm is an effective up-to-date adaptive nonlinear learning algorithm which also has good performance for kernel structure growing control. It achieves good results unde...
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ISBN:
(纸本)9781479921898
Quantized kernel least mean square (QKLMS) algorithm is an effective up-to-date adaptive nonlinear learning algorithm which also has good performance for kernel structure growing control. It achieves good results under Gaussian noise environment. In this paper, a new algorithm, quantized kernel least mean mixed norm (QKLMMN), is proposed for adaptive nonlinear learning with non-Gaussian additive noise statistical distribution models (including combination). As an alternative of conventional squared error criteria, mixed-norm criteria is utilized for our algorithm. A comprehensive convergence analysis is carried out. Experiments for nonlinear time series prediction and nonlinear system identification are conducted. Experimental results verified the effectiveness and superiority of our proposed algorithm compared with other kernel based adaptive nonlinear learning algorithms under non-Gaussian noise environment.
In this paper, a novel watermarking scheme is proposed by embedding a gray-scale watermark into gray-scale images. The proposed scheme is a Hybrid watermarking algorithm based on singular value decomposition (SVD) and...
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In this paper, a novel watermarking scheme is proposed by embedding a gray-scale watermark into gray-scale images. The proposed scheme is a Hybrid watermarking algorithm based on singular value decomposition (SVD) and Steerable Pyramid (SP) wavelet transform. The robustness of the proposed method is evaluated by executing various image processing attacks. Peak signal to noise ratio (PSNR) is used to examine the image quality before and after the embedding process. Experimental results show that the proposed watermarking scheme is robust against various attacks.
When more and more people integrate Social Network Services (SNS) into their daily life, digital native students were more accustomed to communicate via SNS. Research shows SNS is beneficial to some academic goals, bu...
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The following article describes a senior engineering project design of a completed cost benefit analysis and a demonstration prototype. The project evaluates the potential energy savings of interrupting power to a hot...
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The following article describes a senior engineering project design of a completed cost benefit analysis and a demonstration prototype. The project evaluates the potential energy savings of interrupting power to a hot water tank and builds a demonstration prototype as an initial proof of concept. The demonstration prototype uses a microcontroller, sensors, and solid state relay to interrupt power during low usage periods of a residential hot water tank to reduce energy consumption. A cost benefit analysis addresses the results, potential savings, and future enhancements.
From the angle of the feature level information integration,through linear weighting integration method,this paper proposes a semi-supervised dimensionality reduction algorithm integrated with the sparsity reconstruct...
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From the angle of the feature level information integration,through linear weighting integration method,this paper proposes a semi-supervised dimensionality reduction algorithm integrated with the sparsity reconstruction feature information and pair constraint feature information and applies the genetic algorithm to perform automatic optimization selection to the linear weighting balance *** show that,when comparing the algorithm with the previous method,it has good dimensionality reduction classification performance.
Are you concerned about the privacy implications of big data;government surveillance;or the ability of social networks, search engines, and online advertisers to amass detailed profiles of individuals Do you want to u...
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Many countries, such as the US, China, and the UK, have considered using safe elevators (such as fire elevators) on safe floors (such as refuge floors) in high-rise buildings to speed up emergency evacuation. However,...
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Many countries, such as the US, China, and the UK, have considered using safe elevators (such as fire elevators) on safe floors (such as refuge floors) in high-rise buildings to speed up emergency evacuation. However, for safety reasons such as sheave traction and brake capability, elevators are designed not to operate when overloaded. Overcrowding, then, may actually slow down building evacuation when a car is overloaded. As a result, how to speed up elevator evacuation considering potential overcrowding is an important issue. This problem is difficult because of the uncertain traffic and complicated elevator scheduling. To reduce the traffic uncertainties, one trend is to use the surveillance cameras in smart high-rise buildings to know the number of waiting evacuees. To avoid the phenomenon of elevator overloading, multiple elevators will be sent to the same floor based on the number of waiting evacuees. To reduce the complication of elevator scheduling, all the elevators are divided into groups with one or more elevators in each group. Then these groups will be dispatched to different floors according to the numbers of waiting evacuees. Our objective is to minimize the evacuation time with the constraints of evacuees' safety. The Genetic Algorithm toolbox in Matlab is used to solve this problem. A case study is used to demonstrate that, compared with the building where one floor can be served by one car, our elevator scheduling can reduce the evacuation time.
Combined PBL with some advanced foreign reading teaching strategies,we choose the most suitable way to give lessons and bring up students ability to think of *** on teaching experience for several years,we propose som...
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Combined PBL with some advanced foreign reading teaching strategies,we choose the most suitable way to give lessons and bring up students ability to think of *** on teaching experience for several years,we propose some teaching strategies in English reading teaching to help students improve the efficiency and accuracy of reading with the help of *** practice,students'innovation and cooperation are strengthened and the width and depth of their questions are improved.
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