2,261 research outputs found
Electrochemical synthesis: Monoclinic Cu 2 Se nano-dendrites with high performance for supercapacitors
No full textAbstract not availableS.K. Shinde, G.S. Ghodake, D.P. Dubal, Rahul V. Patel, R.G. Saratale, D.-Y. Kim, N.C. Maile, R.R. Koli, H.D. Dhaygude, V.J. Fular
Goat cheese: microbiological composition and working environment
No full textGoat cheeses, because of their peculiar sensory characteristics, have a long history of not being fully appreciated, however in recent years their popularity in many European countries has increased, and this has led to their becoming an important factor in rural economies. Goat cheeses do not have a standardized manufacturing process, they are made without starter cultures by traditional methods and thus offer individuality and variety to the consumer.
Non starter lactic acid bacteria (NSLAB) represent a complex microbial community that influences the peculiar sensory characteristics and physico-chemical properties of the final product. The qualitative and quantitative composition of the microbial flora, its evolution and activity during cheese manufacturing and ripening, depends on the production area, the dairy-animal feed, environmental conditions, raw materials employed, traditional tools and cheese-making practices. Thus, for a better understanding of the origin, and functions, of microbial communities used to produce goat cheeses, it is necessary to have an accurate description of the prevailing microbial ecosystem
Barrier inhomogeneities of Al/p-In2Te3 thin film Schottky diodes
No full textThe current-voltage (I-V) and capacitance-voltage (C-V) characteristics of p-In2Te3/Al thin films Schottky diodes papered by Flash Evaporation technique were measured in the temperature range 303-335 K have been interpreted on the basis of the assumption of a Gaussian distribution of barrier heights (φbo) due to barrier height inhomogeneities that prevail at the interface. It has been found that the occurrence of Gaussian distribution of BHs is responsible for the decrease of the apparent BH (φbo) and increase of the ideality factor (η). The inhomogeneities are considered to have a Gaussian distribution with a mean barrier height of (φbm) and standard deviation (σs) at zero-bias. Furthermore, the activation energy value (φb) at T = 0 and Richardson constant (A**) value was obtained as 0.587 eV and 3.09 Acm– 2 K– 1 by means of usual Richardson plots. Hence, it has been concluded that the temperature dependence of the I-V characteristics of p-In2Te3/Al Schottky Diodes can be successfully explained on the basis of TE mechanism with a Gaussian distribution of the BHs.
When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/2790
What is the Time Limit for Filing a Lawsuit? It Depends on What Your Definition of Arising Under Is! An Analysis of Jones v. R.R. Donnelley & Sons Co.
No full textThis article previews the Supreme Court case Jones et. al. v. R.R. Donnelly & Sons Co., 541 U.S. 369 (2004). The author predicted that the case would require the court to determine the appropriate statute of limitations to apply in a class action race-discrimination lawsuit filed under 42 U.S.C. § 1981
Dynamic synchromodal transport planning under uncertainty: A reinforcement learning approach
No full textAccepted Author ManuscriptTransport Engineering and Logistic
The Scope of Employer Liability for Employee Exposure to a Hazardous Substance: No Harm, No Foul? An Analysis of Metro-North Commuter R.R. Co. v. Buckley
No full textThis article previews the Supreme Court case Metro-North Commuter R.R. Co. v. Buckley, 521 U.S. 424 (1997). The author expected the Court to decide whether a railroad worker who is covered by the Federal Employer\u27s Liability Act who has been exposed to asbestos because of employer negligence but who has not developed an asbestos-related disease can recover damages for emotional distress caused by the exposure
Multi-agent model predictive control for transportation networks: Serial versus parallel schemes
No full textWe consider the control of large-scale transportation networks, like road traffic networks, power distribution networks, water distribution networks, etc. Control of these networks is often not possible from a single point by a single intelligent control agent; instead control has to be performed using multiple intelligent agents. We consider multi-agent control schemes in which each agent employs a model-based predictive control approach. Coordination between the agents is used to improve decision making. This coordination can be in the form of parallel or serial schemes. We propose a novel serial coordination scheme based on Lagrange theory and compare this with an existing parallel scheme. Experiments by means of simulations on a particular type of transportation network, viz., an electric power network, illustrate the performance of both schemes. It is shown that the serial scheme has preferable properties compared to the parallel scheme in terms of the convergence speed and the quality of the solution. If you want to cite this report, please use the following reference instead: R.R. Negenborn, B. De Schutter, and J. Hellendoorn, “Multi-agent model predictive control for transportation networks: Serial versus parallel schemes,” Engineering Applications of Artificial Intelligence, vol. 21, no. 3, pp. 353–366, Apr. 2008.Delft Center for Systems and ControlMechanical, Maritime and Materials Engineerin
Optimization of condition-based asset management using a predictive health model
No full textIn this paper, a model predictive framework is used to optimize the operation and maintenance actions of power system equipment based on the predicted health sate of this equipment. In particular, this framework is used to predict the health state of transformers based on their usage. The health state of a transformer is hereby given by the hot-spot temperature of the paper insulation of the transformer and is predicted using the planned loading of the transformer. The actual loading of the transformer is subsequently optimized using these predictions. If you want to cite this report, please use the following reference instead: G. Bajracharya, T. Koltunowicz, R.R. Negenborn, Z. Papp, D. Djairam, B. De Schutter, J. J. Smit. Optimization of condition-based asset management using a predictive health model. In Proceedings of the 16th International Symposium on High Voltage Engineering (ISH 2009), Cape Town, South Africa, August 2009.Electrical Sustainable EnergyElectrical Engineering, Mathematics and Computer Scienc
Het ontwerp van intelligente software voor energiebezuiniging met behulp van patroonherkenning in het elektriciteitsverbruik
No full textThis thesis presents software that controls electrical household appliances. It uses an intelligent algorithm that adapts to the use of these household appliances by recognizing patterns of electricity useage.Electrical Engineering, Mathematics and Computer Scienc
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