Implementing a hybrid series bus with gas turbine device - a preliminary study

This paper presents the implementation of an hybrid series Bus with a gas turbine, as thermal engine. The hybridization methodology for transforming city buses, substituting the original gasoline/diesel engine with a micro gas turbine device (intended as range extender), into a series hybrid vehicle has investigated and its feasibility analyzed. The study was conducted by the university of Rome “Sapienza” in collaboration with several enterprises. The idea is to design a hybrid power train that can be installed in a typical city bus, which means that all systems and components will be influenced by the limited space available. In this paper the details of the mechanical and electrical realization of the power train will be discussed. The hybrid system also includes consideration on the battery pack and the vehicle management logic. The proposed solution obtains a reduction in fuel consumption higher than 20%, in comparison with normal commercial fleet

Estimation of energy flux and biomass in pasture areas through remote sensing techniques.

Made available in DSpace on 2019-12-30T18:11:44Z (GMT). No. of bitstreams: 1 IJAERSRicardoGEstimation.pdf: 337694 bytes, checksum: 440438c3a2841a03167279832680e3e6 (MD5) Previous issue date: 2019bitstream/item/207931/1/IJAERS-RicardoG-Estimation.pd

Study of Pulsed RF Signal Extraction and Irradiation from a Capacitive Nonlinear Transmission Line

Research on Nonlinear Transmission Lines (NLTLs) has long been carried out to produce oscillating pulses. The radiofrequency (RF) pulses generated by the NLTLs can be radiated by antennas connected to the output of the lines. Possible applications of NLTLs as an RF generator include aerospace radars, telecommunications, battlefield communication disruption, and medical devices. There have been relatively few articles that presented experimental results regarding the extraction and the radiation of the RF signal from NLTLs. This article reports the excellent results obtained with a low voltage lumped capacitive NLTL in which oscillations of the order of 230 MHz were produced and radiated using Double-Ridged Guide (DRG) antennas. The RF signal was extracted using a decoupling circuit based on a Chebyshev high-pass filter. The NLTL was evaluated through time domain and frequency domain analyses of the pulsed RF signal measured on a resistive load connected to the output of the line, as well as on transmitting and receiving by antennas. The LT-SPICE model of the line was implemented and the comparison of simulation and experimental results presented a good agreement

Analysis of Phenomenon at Quantum Capacitance Limit of SNWFET using FETToy

In The proposed paper several interesting phenomenon that happens at Quantum Conductance Limit (QCL) like transconductance of One Dimensional-Silicon Nano Wire Field Effect Transistor (1D-SNWFET), mobile electron density and injection velocity is studied and simulated using Fettoy simulation tool. The selected gate material in silicon nanowire field effect transistor is SiO2 with K=3.9 and HFO2 with K=20. A coaxial SNWFET is simulated and the results illustrate the essential physics and peculiarities of 1D nanowire FETs, such as the saturation of channel conductance at full degenerate limit and the saturation of transconductance at the quantum capacitance limit and the full degenerate limit

Adsorption and incorporation of the zinc oxide nanoparticles in seeds of corn: germination performance and antimicrobial protection

The treatments of the seeds are important procedures applied by the agronomical area to improve the culture yield. From these procedures the micronutrients are available for the seeds before and during the germination stages. One high challenge is make efficient these treatment processes and to ensure the adsorption and the incorporation of these micronutrients in the seeds and to improve its performance in the germination phase. In this work studies explored the optimization of the incorporation process and the characteristics of the zinc oxide clusters adsorbed on the surface of the seed. The results were associated with the agronomic responses during the germinations stages of the seeds of corn. The seeds were treated in suspensions containing different concentrations of nanoparticles of zinc oxide and during different treatment times. The adsorptions in the corn surface and the absorption of the nanoparticles for the inner of the seeds were studied together with its antibacterial characteristics and correlated with the germinations indicators. The results showed that is possible to incorporate nanoparticles of zinc oxide in inner of the seeds of corn and improve the germinations indicators. Antibacterial protection was aggregated on the seeds of corn. It´s possible to incorporate 0.280 mg of zinc oxide nanoparticle per seed mass in inner of seeds with the optimal treatment conditions with nanoparticle concentration of 50 mg/L in the suspension and with treatment time of 180 minutes. With the optimal treatment concentration the normal plant percentage increase of 2.70% in relationship to the seeds not treated

A Survey on the Project in title

In this paper we present a survey of work that has been done in the project ldquo;Unsupervised Adaptive P300 BCI in the framework of chaotic theory and stochastic theoryrdquo;we summarised the following papers, (Mohammed J Alhaddad amp; 2011), (Mohammed J. Alhaddad amp; Kamel M, 2012), (Mohammed J Alhaddad, Kamel, amp; Al-Otaibi, 2013), (Mohammed J Alhaddad, Kamel, amp; Bakheet, 2013), (Mohammed J Alhaddad, Kamel, amp; Al-Otaibi, 2014), (Mohammed J Alhaddad, Kamel, amp; Bakheet, 2014), (Mohammed J Alhaddad, Kamel, amp; Kadah, 2014), (Mohammed J Alhaddad, Kamel, Makary, Hargas, amp; Kadah, 2014), (Mohammed J Alhaddad, Mohammed, Kamel, amp; Hagras, 2015).We developed a new pre-processing method for denoising P300-based brain-computer interface data that allows better performance with lower number of channels and blocks. The new denoising technique is based on a modified version of the spectral subtraction denoising and works on each temporal signal channel independently thus offering seamless integration with existing pre-processing and allowing low channel counts to be used. We also developed a novel approach for brain-computer interface data that requires no prior training. The proposed approach is based on interval type-2 fuzzy logic based classifier which is able to handle the usersrsquo; uncertainties to produce better prediction accuracies than other competing classifiers such as BLDA or RFLDA. In addition, the generated type-2 fuzzy classifier is learnt from data via genetic algorithms to produce a small number of rules with a rule length of only one antecedent to maximize the transparency and interpretability for the normal clinician. We also employ a feature selection system based on an ensemble neural networks recursive feature selection which is able to find the effective time instances within the effective sensors in relation to given P300 event. The basic principle of this new class of techniques is that the trial with true activation signal within each block has to be different from the rest of the trials within that block. Hence, a measure that is sensitive to this dissimilarity can be used to make a decision based on a single block without any prior training. The new methods were verified using various experiments which were performed on standard data sets and using real-data sets obtained from real subjects experiments performed in the BCI lab in King Abdulaziz University. The results were compared to the classification results of the same data using previous methods. Enhanced performance in different experiments as quantitatively assessed using classification block accuracy as well as bit rate estimates was confirmed. It will be shown that the produced type-2 fuzzy logic based classifier will learn simple rules which are easy to understand explaining the events in question. In addition, the produced type-2 fuzzy logic classifier will be able to give better accuracies when compared to BLDA or RFLDA on various human subjects on the standard and real-world data sets

Some aspects of Cold Deformation studies of Al-ZrB2 composites

In the present study Al-ZrB2 composite were made by powder metallurgy route adding different amounts of synthesized ZrB2 powder (2, 4, 6, 8, 10 wt. %). The ZrB2 powder was synthesized by using self-propagating high temperature synthesis (SHS). The samples of different aspect ratios (0.35, 0.5 and 0.65) were made and then sintered at 550oC under continuous argon gas atmosphere in a tubular furnace for 1 hour. The microstructure of the composites had shown that there is no chemical adhesion between Al matrix and ZrB2 reinforcement. Hardness of the composites increased with increase in the amount of ZrB2 reinforcement. The hardness of the composites increased with increase in amount of ZrB2 reinforcement. It was found that the formability stress index increased with the increase of preform fractional density and decreased with the aspect ratio. Relation between various stress ratios, axial strain and relative densities were analyzed. Statistical fitting methods are used on the curve drawn between the axial strain and the stress formability index. The compacts of lower aspect ratio and high initial preform density were found to have a very high fracture strain