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In this paper, a new electronically controllable current-mode instrumentation amplifier (CMIA) is presented. The proposed CMIA is based on only two electronically tunable second-generation current conveyors (ECCIIs). It does not need any passive element which makes it highly suitable for integration. More interestingly, high CMRR is achieved without the need for matching between active elements. Its...
Development of technologies in bioinformatics resulted into many folds growth of biological data that led to the research for accelerated solutions in various domains of computational bioinformatics. String matching is one of the most widely performed tasks at various stages of computational pipeline and it needs an accelerated and reconfigurable methodology for implementation. In this paper we present...
In this paper, we propose a new multiple ciphering scheme based on a Deficit Weighted Round Robin (DWRR) algorithm to improve the randomness results in the keystream generated by a stream cipher. This scheme has been implemented and tested in a Xilinx Virtex 7 FPGA. The randomness test results of the resulting keystream have proved that this scheme can be used to improve the quality of a stream cipher...
In this paper an insect brain-inspired neural processing architecture was developed to be applied on board of a bio-robot for solving feature-to-action tasks. The system, accounting on visual features, is able to solve a classification problems using a spatial temporal approach that is typical of bio-inspired neural architectures. The proposed neural structure, taking inspiration from a specific neuropile...
High-gain organic transistors are the key building blocks for the development of high-performance organic electronics, including high-sensitivity sensors, signal amplification in sensing systems and large-scale circuits. In this work, we analyze organic transistors based on the diffusion-driven charge-accumulation architecture. This class of organic field-effect transistors maximizes at the same the...
Given the complexity of the mathematical descriptions of real nanodevices with memristor fingerprints, convergence issues often emerge in the simulation of circuits employing memristors, even for a limited number of instances. Actually the simulation of one-memristor circuits may also be troublesome for some inputs and/or initial conditions. This problem prevents a thorough test of memristor circuit...
High-performance electronics on flexible substrates along with low-cost fabrication by printing has gained interest recently. For this purpose, the printing of inorganic semiconductors based micro/nanostructures such as nanowires etc. are being explored. However, due to thermal budget, the controlled selective source/drain doping needed to obtain transistors from such structure remains a bottleneck...
Spintronic nanodevices — which exploit both the magnetic and electric properties of electrons — are a major break-through for nanoelectronics. The flagship device of spintronics, the magnetic tunnel junction, naturally provides a binary memristive device with outstanding endurance, high speed and low energy consumption. Interestingly, relying on the same physics as their use as memristive devices,...
This paper is a step forward in the analysis of generalized time-fractional telegrapher's equation, derived as the mathematical model describing transmission line. Using fractional calculus as a mathematical tool for generalization, memory effects of inductive and capacitive phenomena are included in model. The effect of electrical charge accumulation along the line is taken into account by the topological...
This paper proposes a hardware accelerator for n-dimensional (nD) FastICA methodology, introducing the concept of Vector Cross Product into the Coordinate Rotation Digital Computer (CORDIC) based FastICA to attain high computation speed. The complete FastICA Iteration stage required for computation of the nth weight vector is eliminated by using Vector Cross Product in nD FastICA. Introducing Vector...
The paper describes application of CNN with memristive units to simple movement recognition. Each cell of CNN comprised input and output template connected to voltage controlled memristor. The experimental results were obtained by using simulation software. The proposed model proved to be capable of recognizing simple pixel trajectories over a two-dimensional grid.
Nuclear fusion is a highly challenging field of intense research. One of the not yet solved problems avoiding conditions for a self-sustained reaction is certainly the modeling and control of plasma instabilities. In this paper, we propose a novel approach towards the qualitative modeling of spatiotemporal phenomena occurring in plasma during instabilities. The modeling strategy adopted is based on...
In this contribution, we present a coverage driven functional verification environment based on the UVM framework and the System Verilog language to certify the operational correctness of the ECC error management logic used in volatile and nonvolatile memories. We apply this methodology to floatinggate nonvolatile memories for the embedded market, which requires a read error rate of 10−14. The proposed...
A switched-capacitor circuit is proposed for the generation of noise resembling the typical noise spectral density of MOS devices. The circuit is based on the combination of two chaotic maps, one generating 1/f noise (hopping map) and the other generating white noise (Bernoulli map). Through a programmable weighted adder stage, the contribution of each map can be controlled and, thereby, the position...
In this paper a Matlab noise model is developed for a two-integrator filter Biquadratic section (Biquad) using second-generation current conveyors (CCII). The noise model of the AD 844 current-feedback operational amplifier (CFOA), the input circuit of which is a CCII, is used for our analysis. However, because a correct noise model of the AD 844 does not exist in Pspice, a new noise model of the...
We propose a novel class-AB second-generation Current Conveyor (CCII) based on the class-AB Flipped Voltage Follower (FVF) topology, and compare it with a class-A CCII based on the conventional FVF. The AB-FVF is capable of driving larger capacitive loads, showing faster settling. Furthermore, it can drive the Z output with currents larger than the biasing ones, improving power efficiency. A modification...
Sensitivity studies the network response to the perturbation of a reaction, at steady state. Ishii et al., among others, performed biological experiments, which study the response of metabolic networks to the knock-out of certain targeted reactions. The response is given as the increase, or decrease, or zero response, for each experimentally accessible concentrations of chemicals or fluxes in the...
In this work a dynamic biasing circuit for current conveyor (CCII) applications is proposed and discussed with circuitry details. This solution, applied for the first time to current-mode circuits, allows to decrease the steady state power consumption of the considered circuit, minimally affecting its performance. The dynamic biasing solution here conceived is able to sense the input signal providing...
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