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SAE J382, ECE 43, ECE R125, FMVSS 104, GB 11556, GB 15085 and UMTRI standards. The program creates the actual windshield wiped area, calculates the percentile of the actual wiped area and checks it against the standard. The designer specifies the vehicle class, eyellipse, hip point, windshield and wiper system details with step-by-step

The derivation of this model is also based on time-varying pha-sors; the details can be found in [6] and [7]. To demonstrate relevance of representing transmission lines using recently developed time-varying phasor algebra, the dif-ference between the two responses obtained by means of two models, i.e., an algebraic model and the model based on ...

2678 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 8, AUGUST 2005 Robust Iterative Fitting of Multilinear Models Sergiy A. Vorobyov, Member, IEEE, Yue Rong, Student Member, IEEE, Nicholas D. Sidiropoulos, Senior Member, IEEE, and Alex B. Gershman, Senior Member, IEEE Abstract—Parallel factor (PARAFAC) analysis is an extension of low-rank matrix decomposition to …

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View ECE-616-paper-reading2.pdf from ECE 616 at George Mason University. Semantically Conditioned LSTM-based Natural Language Generation for Spoken …

12. Derive the small-signal (linear) model of a non-linear component . 13. Use the low-frequency small-signal model of a MOSFET in circuit analysis and identify the limits of the model. 14. Use the low-frequency small-signal model of a BJT in circuit analysis and …

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In our model, attention is used to maximize the information preserved about important events dynamically as new events arise and old ones disappear. To demonstrate the usefulness of this model, we analyze a simple bit-allocation scheme in whichfeaturesare encodedat differentratesaccordingtotheir relative importance. 2. FEATURE-BASED PROCESSING

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erator projects the current estimate closer to the feasible sets (natural images) constrained by the signal prior. Thus, we propose to learn the proximal operator with a deep projection model. Once learned, the same network can be integrated into many standard optimization frameworks for solving arbitrary linear inverse problems of natural images.

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In this work, we consider a simplified model of AMI, similar to [12], that includes a grid operator and nconsumers that may be capable of energy storage, harnessing the potential cost savings in the smart grid. Our analysis covers two models of energy demands. In the first (total-energy model), each demand

E/ECE/324/Rev.2/Add.99/Rev.2 E/ECE/TRANS/505/Rev.2/Add.99/Rev.2 3 Regulation No. 100 Uniform provisions concerning the approval of vehicles with

Model 446, suitable for point-to-point or groundto-air communication. Can be remotely located from operating position. Coaxial fittings to accept frequency shift signals. This transmitter operates on 4 crystal -controlled frequencies (plus 2 closely spaced frequencies) in the band 2.5-24.0 Mcs (1.6-2.5 Mcs available). Operates on one frequency ...

The electrocaloric e ect (ECE) is a temperature and entropy change of an insulating material when there is an electric eld induced polarization change. Recently, giant ECE was discovered in a series of dielectric materials, such as Polyvinylidene uoride (PVDF) based polymers and ferroelectric ceramics. The

erator employed as a VUV/X-ray source. Comparisons are made on a per-puls Ite basis. is demonstrated that the linear accelerator as an X-ray source is comparable to large syn-chrotron accelerators with wiggler insertio at the experimentn devices. Application to s lithography, X-ray microscopy, X-ray spectroscopy and detector calibration are ...

tive model is typically constrained by the memory required to store the model, activations and gradients in the com-puting device (i.e. the GPU). This limits the richness and complexity of the statistics that the objective function can extract from the available samples. Figure1illustrates this point with an extreme example: learning a data ...

INBCs) model. The effect of ferrites on ESD currents and fields was studied by [12]. Obtaining the current and the fields just from the charging voltage and the geometry was achieved for highly simplified structures in [8] for air discharge, i.e., including the nonlinear arc in a full-wave model.

tions of the system model, market model and attack model. In Section 3 we propose an strategy to find the optimal single at-tack vector, which is exact and efficient. Finally, in Sectio n 4, we will show some numerical results on IEEE 14 bus system by using the proposed strategy. 2. PROBLEM FORMULATION 2.1. System model

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1The model given by this equation will be referred to as the model in the evolution form. 2As well as the Fourier transform of the forcing term. model given by equation (7) simpli es to the one di-mensional PDE parametrized by k xand z @ t ^v!^ y = L^ 0 C S v^ y + B^F =: A^ ^+ B^F;^ (9) where L^, S^, and C^ represent the Fourier transforms of

utilization model for the automatically generated DFT cores. The model reduces the time for resource evaluation per design to the or-der of microseconds, and thus makes it practical to exhaustively ex-plore the design space covered by the DFT IP generator. The model presented in this paper is tuned to target Xilinx Virtex-II Pro FP-GAs.

erator: min Gmax D V(p d;p G;D). Following ideas from the original GAN (Goodfellow et al., 2014), which optimizes the Jensen-Shannon divergence, much recent work has focused on information-theoretic divergences, such as the KL-divergence (Sønderby et al., 2017). Many other studies have investigated the gener-alized f-divergence (Csisz´ar ...

that our model can generate realistic-looking sen-tences. 1. Introduction Generating meaningful and coherent sentences is central to many natural language processing applications. The gen-eral idea is to estimate a distribution over sentences from a corpus, then use it to sample realistic-looking sentences.

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results show that Aladdin can model performance within 0.9%, power within 4.9%, and area within 6.6% compared to accel-erator designs generated by traditional RTL flows. In addition, Aladdin provides these estimates over 100 faster. 978-1-4799-4394-4/14/$31.00 c 2014 IEEE

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