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Although many works exist on the subject, the real impact of partially-overlapping channels (POCs) on the capacity of multi-radio wireless mesh networks is not clearly established yet. In this paper, we propose a mathematical programming model to evaluate accurately the improvement in throughput that could be achieved if all the adjacent radio channels were exploited. Compared to previous works, our...
A detailed synthesis study has been performed on a functional unit from a recent IBM microprocessor to explore the voltage-frequency space for energy-efficient design points across a wide performance spectrum ranging from 625 MHz at 0.48V to 5.6 GHz at 0.95V. It is found that the optimal operating voltage depends strongly on frequency for an energy-efficient design. Circuit characteristics, as represented...
Low power design is critical in today's chip design. Clock tree takes much of chip power. “Clock tree cost” is introduced to help design low power clock tree. Five methods are proposed to reduce “clock tree cost” and improve clock tree efficiency. They include clock sink depth check, redundant scan mux check, redundant clock gating cell check, CCOPT (Clock Concurrent Optimization) and simple clock...
In this paper, the power consumption of the integrated circuit is discussed. At first, take CMOS integrated circuit as an example, we analyze the source and composition of the power consumption of the integrated circuit and then, we elaborate on the optimization of the integrated circuit on system level, algorithm level and structure level, RTL level, gate level, transistor level, process level and...
A Quantum Evolutionary Computational Technique (QECT) is proposed in this paper. The approach is based on the integration of quantum computing concepts such as superposition of states, application of quantum gate with the concept of genetic algorithm and simulated annealing. To demonstrate effectiveness and applicability of QECT, simulations are carried out on five Benchmark Test functions, which...
Recent papers have demonstrated that graph-based methodologies for supergate design can provide solutions with fewer transistors when compared to the widely used factoring methods. However, there is not enough discussion about the impact of those solutions on physical design, and it is important since the generated supergates have some special topological particularities. In this paper, we perform...
Modern design for testability (DFT) techniques support the application of non-functional vectors with increased controllability, observability and ease of test generation complexity. High power demand due to excessive switching activity in test mode causes false failure, test escape and reliability issues. Therefore, generating power safe pattern test is an active research topic. Don't care bits present...
In the underwater sensor network, the deployment of multiple water surface gateway can effectively improve the network capacity, reduce the network delay and save the energy of underwater sensor nodes. Due to the underwater sensor nodes is easily affected by ocean currents affect which occurred in the position drift, surface gateway deployment locations need regular dynamic optimization and update...
Pass-gates logic is known to be intrinsically more energy efficient than static CMOS. This feature attracted the research interest over the years and many working implementations have been demonstrated. Recent works, in particular, have shown that pass-gates logic is well suited for ultra-low power adiabatic circuits mapped on emerging technologies.
Packages of power semiconductors have considerable influence regarding the thermal impedance, the parasitic inductance, which affects the switching losses, and the reliability. In this paper, the performance of a phase leg of a PFC rectifier with PCB embedded power semiconductors is investigated. The mechanical stress in the PCB is analyzed by a FEM simulation and PCB design guidelines are given....
State-of-the-art power semiconductor industry uses figure-of-merits (FOMs) for technology-to-technology and/or device-to-device comparisons. However, the existing FOMs are fundamentally nonlinear due to the nonlinearities of the parameters such as the gate charge and the output charge versus different operating conditions. A systematic analysis of the optimization of these FOMs has not been previously...
Triple material double gate (TMDG) tunnel field-effect transistor (TFET) can be considered as a potential nominee for next generation low power high speed device fabrication. In this study, the effect of Si film thickness on performance of TMDG TFET is analyzed using two dimensional TCAD simulations. The tunneling current is substantially dependent on device thickness and the device physics regulating...
A new MATLAB/Simulink-based modeling platform has been developed for SiC MOSFET power modules. The modeling platform describes the electrical behavior f a single 1.2 kV/ 350 A SiC MOSFET power module, as well as the series connection of two of them. A fast parameter initialization is followed by an optimization process to facilitate the extraction of the model's parameters in a more automated way...
Aiming at issues of load imbalance and low energy efficiency in the existing underwater sensor network clustering algorithm, a novel global optimal clustering algorithm with the low complexity and parallel processing is proposed. The algorithm is based on the basic idea of particle swarm optimization algorithm (PSO). After the binary initial code of the sensor nodes, the particle code is adjusted...
Approximate computing is capable of exploiting the error resilience of various applications with the aim of improving their parameters such as performance, energy consumption and area on a chip. In this paper, a new systematic approach for the approximation and optimization of circuits intended for LUT-based field programmable gate arrays (FPGAs) is proposed. In order to deliver a good trade-off between...
Vehicular network is regarded as an important part of the Intelligent Transportation System (ITS). However, with the increasing number of vehicular applications, it is a challenge to meet the demands of both communication and computation. Fog computing can provide mobile users with the demanded services through low latency and short-distance local connections. This paper investigates the optimal deployment...
In this paper, we introduce a data-dependent kernel called deep quasi-linear kernel, which can directly gain a profit from a pre-trained feedforward deep network. Firstly, a multi-layer gated bilinear classifier is formulated to mimic the functionality of a feed-forward neural network. The only difference between them is that the activation values of hidden units in the multi-layer gated bilinear...
Hardening cryptographic algorithms against sidechannel attacks is a complex but crucial task in today's hardware implementations. One of the most promising countermeasures is Boolean Masking. Designers spend much effort to optimise and customise their masking schemes, but many proposed masked implementations were eventually broken, because they are somehow flawed - not necessarily restricted to a...
A theoretical advantage of large margin classifiers such as Support Vector Machines (SVM) concerns the empirical and structural risk minimization which balances the model complexity against its success at fitting the training data. Metaheuristics have been used in order to select features, to tune hyperparameters or even to achieve a reduced-set of support vectors for SVM. Although these tasks are...
In this paper, a novel change detection method learned from Recurrent Neural Network with transferable ability is proposed. The proposed method, which is based on an improved Long Short Term Memory (LSTM) model, aims at: 1) learning a novel change detection rule to distinguish changed regions with high accuracy; 2) analyzing a new target data with transferable ability from learned change rule; 3)...
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