MF-RALU: design of an efficient multi-functional reversible arithmetic and logic unit for processor design on field programmable gate array platform

Most modern computer applications use reversible logic gates to solve power dissipation issues. This manuscript uses an efficient multi-functional reversible arithmetic and logical unit (MF-RALU) to perform 30 operations. The 32-bit MF-RALU includes arithmetic, logical, complement, shifters, multiplexers, different adders, and multipliers. The multi-bit reversible multiplexers are used to construct the MF-RALU structure. The Reduced instruction set computer (RISC) processor is designed to realize the functionality of the MF-RALU. The MF-RALU can perform its operation in a single clock cycle. The 1-bit RALU is developed and compared with existing approaches with improvements in performance metrics. The 32-bit reversible arithmetic units (RAUs) and reversible logical units (RLUs) are constructed using 1-bit RALU. The MF-RALU and RISC processor are synthesized individually in the Vivado environment using Verilog-HDL and implemented on Artix-7 field programmable gate array (FPGA). The MF-RALU utilizes a <11% chip area and consumes 332 mW total power. The RISC processor utilizes a <3% chip area and works at 483 MHZ frequency by consuming 159 mW of total power on Artix-7 FPGA

Nanomaterials for Healthcare Biosensing Applications

In recent years, an increasing number of nanomaterials have been explored for their applications in biomedical diagnostics, making their applications in healthcare biosensing a rapidly evolving field. Nanomaterials introduce versatility to the sensing platforms and may even allow mobility between different detection mechanisms. The prospect of a combination of different nanomaterials allows an exploitation of their synergistic additive and novel properties for sensor development. This paper covers more than 290 research works since 2015, elaborating the diverse roles played by various nanomaterials in the biosensing field. Hence, we provide a comprehensive review of the healthcare sensing applications of nanomaterials, covering carbon allotrope-based, inorganic, and organic nanomaterials. These sensing systems are able to detect a wide variety of clinically relevant molecules, like nucleic acids, viruses, bacteria, cancer antigens, pharmaceuticals and narcotic drugs, toxins, contaminants, as well as entire cells in various sensing media, ranging from buffers to more complex environments such as urine, blood or sputum. Thus, the latest advancements reviewed in this paper hold tremendous potential for the application of nanomaterials in the early screening of diseases and point-of-care testing

Design Of N Bit Adder And Subtractive Using Quantum Dot Cellular Automata

Relatively easy to fix reasoning as well as quantum dot cellular robot (QCA) with each other can be taken into consideration as one of the most encouraging innovations for future generation computer systems. As CMOS circuits are coming close to restrictions in minimizing area as well as power dissipation, relatively easy to fix reasoning and also QCA modern technology have prospective to change CMOS. Moreover, restricted research is done on reversible sequential circuits with QCA implementation. This paper targets style as well as application of a standard sequential element, a relatively easy to fix dual side set off D flip flop, utilizing QCA. The logical capability, computational as well as power evaluation of the recommended circuit has actually been checked out in this work. This is one of such first attempts to make, analyze as well as carry out relatively easy to fix consecutive element using QCA. This layout will certainly help with the perception of complicated relatively easy to fix sequential circuits in the location of QCA circuits

Novel Defect Terminolgy Beside Evaluation And Design Fault Tolerant Logic Gates In Quantum-Dot Cellular Automata

Quantum dot Cellular Automata (QCA) is one of the important nano-level technologies for implementation of both combinational and sequential systems. QCA have the potential to achieve low power dissipation and operate high speed at THZ frequencies. However large probability of occurrence fabrication defects in QCA, is a fundamental challenge to use this emerging technology. Because of these various defects, it is necessary to obtain exhaustive recognition about these defects. In this paper a complete survey of different QCA faults are presented first. Then some techniques to improve fault tolerance in QCA circuits explained. The effects of missing cell as an important fault on XOR gate that is one of important basic building block in QCA technology is then discussed by exhaustive simulations. Improvement technique is then applied to these XOR structures and then structures are resimulated to measure their fault tolerance improvement due to using these fault tolerance technique. The result show that different QCA XOR gates have different sensitivity against this fault. After using improvement technique, the tolerance of XOR gates have been increased, furthermore in terms of sensitivity against this defect XORs show similar behavior that indicate the effectiveness of improvement have been made

Emerging Design Methodology And Its Implementation Through Rns And Qca

Digital logic technology has been changing dramatically from integrated circuits, to a Very Large Scale Integrated circuits (VLSI) and to a nanotechnology logic circuits. Research focused on increasing the speed and reducing the size of the circuit design. Residue Number System (RNS) architecture has ability to support high speed concurrent arithmetic applications. To reduce the size, Quantum-Dot Cellular Automata (QCA) has become one of the new nanotechnology research field and has received a lot of attention within the engineering community due to its small size and ultralow power. In the last decade, residue number system has received increased attention due to its ability to support high speed concurrent arithmetic applications such as Fast Fourier Transform (FFT), image processing and digital filters utilizing the efficiencies of RNS arithmetic in addition and multiplication. In spite of its effectiveness, RNS has remained more an academic challenge and has very little impact in practical applications due to the complexity involved in the conversion process, magnitude comparison, overflow detection, sign detection, parity detection, scaling and division. The advancements in very large scale integration technology and demand for parallelism computation have enabled researchers to consider RNS as an alternative approach to high speed concurrent arithmetic. Novel parallel - prefix structure binary to residue number system conversion method and RNS novel scaling method are presented in this thesis. Quantum-dot cellular automata has become one of the new nanotechnology research field and has received a lot of attention within engineering community due to its extremely small feature size and ultralow power consumption compared to COMS technology. Novel methodology for generating QCA Boolean circuits from multi-output Boolean circuits is presented. Our methodology takes as its input a Boolean circuit, generates simplified XOR-AND equivalent circuit and output an equivalent majority gate circuits. During the past decade, quantum-dot cellular automata showed the ability to implement both combinational and sequential logic devices. Unlike conventional Boolean AND-OR-NOT based circuits, the fundamental logical device in QCA Boolean networks is majority gate. With combining these QCA gates with NOT gates any combinational or sequential logical device can be constructed from QCA cells. We present an implementation of generalized pipeline cellular array using quantum-dot cellular automata cells. The proposed QCA pipeline array can perform all basic operations such as multiplication, division, squaring and square rooting. The different mode of operations are controlled by a single control line

Carbon-dots conductometric sensor for high performance gas sensing

In this paper the first example of using C-dots (CDs) as sensing nanomaterial for monitoring low concentrations of NO2 in ambient air is reported. In the logic to support a green circular economy, CDs were prepared from a natural low cost precursor consisting in olive solid waste (OSW) by a simple pyrolysis process combined with chemical oxidation. Characterization data showed the formation of spherical CDs with dimensions in the narrow size range from 0.5 to 5 nm and charged with functional groups (COO- (carboxylate), C-O-C (epoxide) and C-OH (hydroxyl) imprinting excellent water colloidal dispersion. The nanomaterial was used to fabricate and test a conductometric gas sensor (CDs-sensor) that was found to exhibit excellent performances in terms of high and selective response to sub-ppm concentration of NO2 at low temperature (150 °C), low limit of detection (LOD) of 50 ppb, good reproducibility and stability over use and aging. To the best of our knowledge, this is the first example reported in the literature of CDs high performances gas sensing material. Results here presented pave the way for a new class of a carbon nanomaterial for gas sensing to be applied in the field of environmental monitoring

Carbon-dots conductometric sensor for high performance gas sensing

In this paper the first example of using C-dots (CDs) as sensing nanomaterial for monitoring low concentrations of NO2 in ambient air is reported. In the logic to support a green circular economy, CDs were prepared from a natural low cost precursor consisting in olive solid waste (OSW) by a simple pyrolysis process combined with chemical oxidation. Characterization data showed the formation of spherical CDs with dimensions in the narrow size range from 0.5 to 5 nm and charged with functional groups (COO- (carboxylate), C-O-C (epoxide) and C-OH (hydroxyl) imprinting excellent water colloidal dispersion. The nanomaterial was used to fabricate and test a conductometric gas sensor (CDs-sensor) that was found to exhibit excellent performances in terms of high and selective response to sub-ppm concentration of NO2 at low temperature (150 °C), low limit of detection (LOD) of 50 ppb, good reproducibility and stability over use and aging. To the best of our knowledge, this is the first example reported in the literature of CDs high performances gas sensing material. Results here presented pave the way for a new class of a carbon nanomaterial for gas sensing to be applied in the field of environmental monitoring