Naous, Rawan; Zidan, Mohammed A.; Salem, Ahmed Sultan; Salama, Khaled N.(Microelectronics Journal, Elsevier BV, 2016-06-03)[Article]
The high demands for performance and energy efficiency pose significant challenges for computational systems. Memristor-based crossbar architectures are actively considered as vital rivals for the traditional solutions. Nonetheless, density and energy driven passive array structures, that lack a switching control per cell, suffer from sneak paths that limit the range of accurate operation of the crossbar array. In this paper, the crossbar array is treated as a communication channel with added distortion to represent the sneak current. Estimation techniques based on preset pilots are utilized to alleviate the distorting effects and enhance the system throughput. A two dimensional setting of these reference points leads to an accurate estimation of and compensation for the sneak paths effects. Thereby a comprehensive technique is presented that boosts the performance and accommodates functional metrics of speed, energy efficiency, accuracy and density all within a single envelope. SPICE simulations cover the data patterns dependencies, the non-linearity impact, and the crossbar distortion. It offers a further validation, from several aspects, on the reliable operation attained with the complete separation of the high and low bits regions.
Zidan, Mohammed A.; Fahmy, Hossam A.H.; Hussain, Muhammad Mustafa; Salama, Khaled N.(Microelectronics Journal, Elsevier BV, 2012-10-29)[Article]
In this paper, we investigate the read operation of memristor-based memories. We analyze the sneak paths problem and provide a noise margin metric to compare the various solutions proposed in the literature. We also analyze the power consumption associated with these solutions. Moreover, we study the effect of the aspect ratio of the memory array on the sneak paths. Finally, we introduce a new technique for solving the sneak paths problem by gating the memory cell using a three-terminal memistor device.
Mansingka, Abhinav S.; Zidan, Mohammed A.; Barakat, Mohamed L.; Radwan, Ahmed Gomaa; Salama, Khaled N.(Microelectronics Journal, Elsevier BV, 2014-06-18)[Article]
This paper introduces fully digital implementations of four di erent systems in the 3rd order jerk-equation based chaotic family
using the Euler approximation. The digitization approach enables controllable chaotic systems that reliably provide sinusoidal or
chaotic output based on a selection input. New systems are introduced, derived using logical and arithmetic operations between
two system implementations of different bus widths, with up to 100x higher maximum Lyapunov exponent than the original jerkequation
based chaotic systems. The resulting chaotic output is shown to pass the NIST sp. 800-22 statistical test suite for pseudorandom
number generators without post-processing by only eliminating the statistically defective bits. The systems are designed
in Verilog HDL and experimentally verified on a Xilinx Virtex 4 FPGA for a maximum throughput of 15.59 Gbits/s for the native
chaotic output and 8.77 Gbits/s for the resulting pseudo-random number generators.
Despite the abundance of localization applications, the tracking devices have never been truly realized in E-textiles. Standard printed circuit board (PCB)-based devices are obtrusive and rigid and hence not suitable for textile based implementations. An attractive option would be direct printing of circuit layout on the textile itself, negating the use of rigid PCB materials. However, high surface roughness and porosity of textiles prevents efficient and reliable printing of electronics on textile. In this work, by printing an interface layer on the textile first, a complete localization circuit integrated with an antenna has been inkjet-printed on the textile for the first time. Printed conductive traces were optimized in terms of conductivity and resolution by controlling the number of over-printed layers. The tracking device determines the wearer's position using WiFi and this information can be displayed on any internet-enabled device, such as smart phone. The device is compact (55mm×45mm) and lightweight (22g with 500mAh battery) for people to comfortably wear it and can be easily concealed in case discretion is required. The device operates at 2.4GHz communicated up to a distance of 55m, with localization accuracy of up to 8m.
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