Mathematical Modelling for Predicting the Temperatures During Microwave Heating of Solid Foods A Case Study

2020 ◽  
pp. 363-388
Author(s):  
Coskan Ilicali ◽  
Filiz Icier ◽  
Ömer Faruk Cokgezme
Keyword(s):  
Mathematical Modelling ◽  
Microwave Heating ◽  
Solid Foods

Time-series-based hybrid mathematical modelling method adapted to forecast automotive and medical waste generation: Case study of Lithuania

2018 ◽  
Vol 36 (5) ◽  
pp. 454-462 ◽  
Author(s):  
Aistė Karpušenkaitė ◽  
Tomas Ruzgas ◽  
Gintaras Denafas
Keyword(s):  
Time Series ◽  
Mathematical Modelling ◽  
Error Rate ◽  
Medical Waste ◽  
Waste Generation ◽  
Prediction Horizon ◽  
Modelling Method ◽  
Forecasting Method ◽  
Hybrid Forecasting

The aim of the study was to create a hybrid forecasting method that could produce higher accuracy forecasts than previously used ‘pure’ time series methods. Mentioned methods were already tested with total automotive waste, hazardous automotive waste, and total medical waste generation, but demonstrated at least a 6% error rate in different cases and efforts were made to decrease it even more. Newly developed hybrid models used a random start generation method to incorporate different time-series advantages and it helped to increase the accuracy of forecasts by 3%–4% in hazardous automotive waste and total medical waste generation cases; the new model did not increase the accuracy of total automotive waste generation forecasts. Developed models’ abilities to forecast short- and mid-term forecasts were tested using prediction horizon.

Mathematical-Modelling Simulation Applied to Help in the Decision-Making Process on Environmental Impact Assessment of Agriculture

2011 ◽  
pp. 199-233
Author(s):  
Maria Pessoa ◽  
Elizabeth Fernandes ◽  
Sonia Nascimento de Queiroz ◽  
Vera Ferracini ◽  
Marco Gomes ◽  
...  
Keyword(s):  
Decision Making ◽  
Environmental Impact ◽  
Mathematical Modelling ◽  
Impact Assessment ◽  
Environmental Impact Assessment ◽  
Production Systems ◽  
Decision Making Process ◽  
Aquifer Recharge ◽  
Guarani Aquifer

The present chapter provides a brief explanation on some aspects involved in the development of models and mathematical-modelling simulations, to show their benefits to the decision-making process in the environmental impact assessment of agriculture. Aspects concerning the agroecosystems were also presented toward the sustainability of Brazilian agricultural production systems. Some applications which have been developed in Brazil were pointed out, as well as a specific case study conducted at the Guarani aquifer recharge area located in Ribeirão Preto, São Paulo state, in order to show the influence of input data on the results provided by CMLS94 simulator.

Application of microwave heating to pervaporation: A case study for separation of ethanol–water mixtures

2014 ◽  
Vol 81 ◽  
pp. 35-40 ◽  
Author(s):  
Magdalena Komorowska-Durka ◽  
Reina van Houten ◽  
Georgios D. Stefanidis
Keyword(s):  
Microwave Heating

scholarly journals White noise jammer mathematical modelling and simulation

2020 ◽  
pp. 154851292096222
Author(s):  
Theodoros G Kostis
Keyword(s):  
Mathematical Modelling ◽  
White Noise ◽  
Pulse Repetition Frequency ◽  
Basic Function ◽  
Electronic Warfare ◽  
Radar Systems ◽  
Modelling Techniques ◽  
Mathematical Modelling And Simulation ◽  
Radar Equation

The radar equation is the fundamental mathematical model of the basic function of a radar system. Moreover, there are many versions of the radar equation, which correspond to particular radar operations, like low pulse repetition frequency (PRF), high PRF, or surveillance mode. In many cases, all these expressions of the radar equation exist in their combined forms, giving little information to the actual physics and signal geometry between the radar and the target involved in the process. In this case study, we divide the radar equation into its major steps and present a descriptive mathematical modelling of the radar and other related equations utilizing the free space loss and target gain concepts to simulate the effect of a white noise jammer on an adversary radar. We believe that this work will be particularly beneficial to instructors of radar courses and to radar simulation engineers because of its analytical block approach to the main equations related to the fields of radar and electronic warfare. Finally, this work falls under the field of predictive dynamics for radar systems using mathematical modelling techniques.

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