Social navigation provides drivers with an advice that aims to shift traffic flows in a network from a user equilibrium to a system optimum. The advice is based on minimizing a combination of the individual travel tim...
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Social navigation provides drivers with an advice that aims to shift traffic flows in a network from a user equilibrium to a system optimum. The advice is based on minimizing a combination of the individual travel time and the marginal total travel time in the network. The level of altruism defines the extent to which a driver is willing to sacrifice his own travel time in favor of other drivers. Fuel consumption and CO2 emission are taking into account by converting them into time equivalent. Experimental results for a small network loosely representing the Bay area show that social navigation can reduce time delays by 10%. The reduction is positively correlated with network load, market penetration and level of altruism.
It has been a challenge to achieve high efficiency organic photovoltaics (OPV) that absorb long wavelength solar radiation without incurring unacceptable reductions in open circuit voltage (V_(oc)) or charge separatio...
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ISBN:
(纸本)9781424499663
It has been a challenge to achieve high efficiency organic photovoltaics (OPV) that absorb long wavelength solar radiation without incurring unacceptable reductions in open circuit voltage (V_(oc)) or charge separation efficiency. Based on the parent structure of the 2, 4-bis[4-(N, N-diisobutylamino)-2,6-dihydroxyphenyl] squaraine (SQ), we have increased V_(oc) using a family of highly near-infrared absorbing SQs, achieving values as high as 0.94 V. These SQ donors are: 2, 4-bis[4-(N-Phenyl-1-naphthylamino)-2,6-dihydroxyphenyl] squaraine (1-NPSQ),2,4-bis[4-(N,N-diphenylamino)-2,6 dihydroxyphenyl] squaraine (DPSQ), 2,4-bis[4-(N,N-diphenylamino)-2,6-dihydroxyphenyl] asymmetric squaraine (DPASQ). The spin-cast SQ, 1-NPSQ, DPSQ and DPASQ donors are then coated with the acceptor C_(60) to form bulk heterojunction (BHJ) solar cells that take advantage of their exceptionally high absorption coefficient and nanocrystalline morphology to overcome the short diffusion length characteristic of these materials. Combined with a high short-circuit current density (J_(sc)=10.6 mA/cm~2) and high fill factor (FF=0.64), the optimized 1-NPSQ/C_(60) photovoltaic cells with 1-NPSQ annealed at elevated temperature have a power conversion efficiency of η_p as high as 6.0% (correcting for solar mismatch) at 1 sun (AM 1.5G) simulated solar illumination, which to our knowledge is the highest efficiency reported to date for small molecule OPVs.
The five papers in this special issue cover a broad range of topics, from analytic methods for DNA/RNA sequences, gene expression analysis, to protein function predictions.
The five papers in this special issue cover a broad range of topics, from analytic methods for DNA/RNA sequences, gene expression analysis, to protein function predictions.
Node failures in Wireless Sensor Networks composed by static sensor nodes are common due to the nature of the sensor devices and the usually harsh environments in which they are deployed. Node failures can diminish th...
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Node failures in Wireless Sensor Networks composed by static sensor nodes are common due to the nature of the sensor devices and the usually harsh environments in which they are deployed. Node failures can diminish the performance of the network as a whole, thus affecting its functionality in delivering the desired services. For instance, significant regions can become uncovered due to failure of several nearby nodes. This paper reports a study about the use of mobile sensor nodes acting in cooperation with static ones in order to fill gaps created by faulty static nodes. The proposed fault handling mechanism presents alternative policies with pros and cons, depending on the user priorities imposed to the system and the occurrence of failures. A discussion about this topic is presented based on results obtained by simulation of the proposed mechanisms.
The paper analyzed and model of a fault tolerant electromechanical controlled worm gear driven fuel shut off valve for aerospace application. The analysis is mainly on design a reduced order fractional controller. Thi...
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The paper analyzed and model of a fault tolerant electromechanical controlled worm gear driven fuel shut off valve for aerospace application. The analysis is mainly on design a reduced order fractional controller. This is for controlling the velocity of worm gear so that the friction torque due to uneven rotational speed can be avoided. Because with the friction and stiction and backlash the valve system performance is reduced and more and more unstable this leads the system to failure. The proposed controller can provide robustness against the uncertain loading torque and system parameter.
The simulation and modeling of nature scenes with thousands of plants is challenging because of its complexity. In this paper, we devise an efficient interactive system for solving this problem and decompose the proce...
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We used a spiking neural network (SNN) to decode neural data recorded from a 96-electrode array in premotor/motor cortex while a rhesus monkey performed a point-to-point reaching arm movement task. We mapped a Kalman-...
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We used a spiking neural network (SNN) to decode neural data recorded from a 96-electrode array in premotor/motor cortex while a rhesus monkey performed a point-to-point reaching arm movement task. We mapped a Kalman-filter neural prosthetic decode algorithm developed to predict the arm's velocity on to the SNN using the Neural engineering Framework and simulated it using Nengo, a freely available software package. A 20,000-neuron network matched the standard decoder's prediction to within 0.03% (normalized by maximum arm velocity). A 1,600-neuron version of this network was within 0.27%, and run in real-time on a 3GHz PC. These results demonstrate that a SNN can implement a statistical signal processing algorithm widely used as the decoder in high-performance neural prostheses (Kalman filter), and achieve similar results with just a few thousand neurons. Hardware SNN implementations - neuromorphic chips - may offer power savings, essential for realizing fully-implantable cortically controlled prostheses.
We briefly introduce noise-based logic. After describing the main motivations we outline classical, instantaneous (squeezed and non-squeezed), continuum, spike and random-telegraph-signal based schemes with applicatio...
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We briefly introduce noise-based logic. After describing the main motivations we outline classical, instantaneous (squeezed and non-squeezed), continuum, spike and random-telegraph-signal based schemes with applications such as circuits that emulate the brain functioning and string verification via a slow communication channel.
The most important challenge in Wireless Sensor Networks (WSNs) is to improve the operational efficiency in highly resource constrained environment based on dynamic and unpredictable behaviour of network parameters an...
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In this paper, we consider a wireless network consisting of a source node, a destination node and multiple relay nodes under Rayleigh fading channels. Cooperative diversity of relay nodes is achieved by selecting an o...
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