High-speed and low-power scalable Hamming weight comparator based on a non-weighted switched-capacitor array

Many practical applications require a comparison of the Hamming weights of two N-bit binary vectors. This comparison can be performed in a fully digital manner or by a mix of analog and digital techniques. In this paper, we propose a design in the latter category that exhibits advantages in speed and power dissipation compared with the best previous designs. The proposed design comprises of two switched-capacitor arrays associated with two comparators placed in parallel, collectively providing a complete comparison outcome of “>”, “<”, or “=”. The switched-capacitor array circuit is composed of uniform capacitances, thus associating identical charges with all bits, independent of their positions in the input bit-vectors. Once charge accumulation has occurred based on the asserted inputs, the two comparators release the final decision concurrently. The structure is shown to support wide input vectors on the order of 64 bits, while requiring a small silicon area for capacitor array structures, CMOS switches, and latched comparators to compute and store the comparison outcome. HSPICE simulation shows a total power consumption of 1.136 mW, evaluated at the operating frequency of 1 GHz (based on input-to-decision delay) for 16 bit input vectors under 0.15 μm TSMC technology.     

A magnetic mesoporous chitosan based core‐shells biopolymer for anionic dye adsorption: Kinetic and isothermal study and application of ANN

In this study, Chitosan/Al₂O₃/Fe₃O₄ core‐shell composite microsphere (CAMF) was used as an effective sorbent with high adsorption capacity for the removal of anionic azo dye model from aqueous solution. The obtained composite was characterized by XRD, SEM, EDX, and BET analysis. The results showed the high methyl orange (MO) adsorption in a wide pH range of 4–10 and the optimum adsorbent dosage was obtained 0.6 g L^?1. It is indicated that the equilibrium data followed the Langmuir isotherm model and the adsorption kinetic was well fitted with pseudo‐second‐order kinetic model. Also, the adsorption kinetic was controlled by the film diffusion and intra‐particle diffusion, simultaneously. It is revealed that by increasing the particle size from <0.1 μm to ～0.4 μm, the adsorption capacity did not change, significantly. The adsorption capacity of MO on CAMF was predicted by multilayer perceptron (MLP) neural network at different initial MO concentration, in which the predictions of MLP model had very good agreement with experimental data. © 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016 , 133, 43466.     

Synthesis route and three different core-shell impacts on magnetic characterization of gadolinium oxide-based nanoparticles as new contrast agents for molecular magnetic resonance imaging

Despite its good resolution, magnetic resonance imaging intrinsically has low sensitivity. Recently, contrast agent nanoparticles have been used as sensitivity and contrast enhancer. The aim of this study was to investigate a new controlled synthesis method for gadolinium oxide-based nanoparticle preparation. For this purpose, diethyleneglycol coating of gadolinium oxide (Gd₂O₃-DEG) was performed using new supervised polyol route, and small particulate gadolinium oxide (SPGO) PEGylation was obtained with methoxy-polyethylene-glycol-silane (550 and 2,000 Da) coatings as SPGO-mPEG-silane550 and 2,000, respectively. Physicochemical characterization and magnetic properties of these three contrast agents in comparison with conventional Gd-DTPA were verified by dynamic light scattering transmission electron microscopy, Fourier transform infrared spectroscopy, inductively coupled plasma, X-ray diffraction, vibrating sample magnetometer, and the signal intensity and relaxivity measurements were performed using 1.5-T MRI scanner.As a result, the nanoparticle sizes of Gd₂O₃-DEG, SPGO-mPEG-silane550, and SPGO-mPEG-silane2000 could be reached to 5.9, 51.3, 194.2 nm, respectively. The image signal intensity and longitudinal (r₁) and transverse relaxivity (r₂) measurements in different concentrations (0.3 to approximately 2.5 mM), revealed the r₂/r₁ ratios of 1.13, 0.89, 33.34, and 33.72 for Gd-DTPA, Gd₂O₃-DEG, SPGO-mPEG-silane550, and SPGO-mPEG-silane2000, respectively.The achievement of new synthesis route of Gd₂O₃-DEG resulted in lower r₂/r₁ ratio for Gd₂O₃-DEG than Gd-DTPA and other previous synthesized methods by this and other groups. The smaller r₂/r₁ ratios of two PEGylated-SPGO contrast agents in our study in comparison with r₂/r₁ ratio of previous PEGylation (r₂/r₁ = 81.9 for mPEG-silane 6,000 MW) showed that these new three introduced contrast agents could potentially be proper contrast enhancers for cellular and molecular MR imaging.     

Long‐term hygrothermal response of perforated GFRP plates with/without application of constant external loading

The use of glass fiber‐reinforced polymer (GFRP) composites is increasingly being considered in various applications where the composite is subjected to harsh hot and humid conditions. Although information on the performance of GFRP under hot and humid conditions is available, the characteristics and the response of perforated GFRP under such conditions have not been fully explored. In this article, the response of perforated GFRP plates subject to hot and humid environment is examined. The applicability and accuracy of Fick's model for establishing the amount of moisture absorption by such composites is examined, and an improved model is proposed. The article also demonstrates the influence of constant external loading on such perforated GFRP while undergoing conditioning in a hot and humid environment. Moreover, since the strength and stiffness of composites can be significantly affected by harsh environments, the degradation in the strength and stiffness of the perforated GFRP as a function of time is established. A new model is proposed wherein degradation of the strength of such perforated composites may be established as a function of time and geometric entities. The model can also account for the influence of the applied loading. POLYM. COMPOS. 2012. © 2012 Society of Plastics Engineers     

A fully integrated 2.4 GHz CMOS high power amplifier using parallel class A&B power amplifier and power-combining transformer for WiMAX application

A new structure integrated power amplifier with watt-level output power is presented in a standard 0.18 μm CMOS process for WiMAX applications. A parallel cascode class A&B power amplifier with optimized widths is proposed to increase linearity and efficiency simultaneously. A novel interleaved PCT power combiner is proposed for increasing output power that combines output current of two similar class A&B power amplifiers. Proposed interleaved transformer heightens coupling factor compared to typical transformer.     

Constant-time addition with hybrid-redundant numbers: Theory and implementations

Hybrid-redundant number representation has provided a flexible framework for digit-parallel addition in a manner that facilitates area-time tradeoffs for VLSI implementations via arbitrary spacing of redundant digit positions within an otherwise nonredundant representation. We revisit the hybrid redundancy scheme, pointing out limitations such as representational asymmetry, lack of representational closure in certain adder implementations, and difficulties in subtraction and carry acceleration. Given the intuitiveness of the hybrid redundancy concept and its potential for describing practically useful redundant number systems, we are motivated to extend it within the framework of weighted bit-set encodings to circumvent the aforementioned problems. The extension is based mainly on allowing negatively weighted bits (negabits), as well as standard posibits, to appear in nonredundant positions. Our extended hybrid redundancy scheme provides for arbitrary spacing of redundant positions in symmetric digit sets, without any degradation in arithmetic efficiency, while at the same time allowing low-latency subtraction by means of the same circuitry that is used for addition. Finally, we describe how inverted encoding of negabits leads to the exclusive use of unmodified standard full/half-adder, counter, and compressor cells, with no extra inverters, and to the direct applicability of conventional carry acceleration techniques in constant-time addition.     

Experimental investigation,modeling and optimization of membrane separation using artificial neural network and multi-objective optimization using genetic algorithm

In this work, treatment of oily wastewaters with commercial polyacrylonitrile (PAN) ultrafiltration (UF) membranes was investigated. In order to do these experiments, the outlet wastewater of the API (American Petroleum Institute) unit of Tehran refinery, is used as the feed. The purpose of this paper was to predict the permeation flux and fouling resistance, by applying artificial neural networks (ANNs), and then to optimize the operating conditions in separation of oil from industrial oily wastewaters, including trans-membrane pressure (TMP), cross-flow velocity (CFV), feed temperature and pH, so that a maximum permeation flux accompanied by a minimum fouling resistance, was acquired by applying genetic algorithm as a powerful soft computing technique. The experimental input data, including TMP, CFV, feed temperature and pH, permeation flux and fouling resistance as outputs, were used to create ANN models. This fact that there is an excellent agreement between the experimental data and the predicted values was shown by the modeling results. Eventually, by multi-objective optimization, using genetic algorithm (GA), an optimization tool was created to predict the optimum operating parameters for desired permeation flux (i.e. maximum flux) and fouling resistance (i.e. minimum fouling) behavior. The accuracy of the model is confirmed by the comparison between the predicted and experimental data.     

Aggregation mechanism of bovine serum albumin based on collision factor by the population balance conservation law

This paper discusses a novel approach for exploring the aggregation mechanism of bovine serum albumin using collision factor. The population balance equation consisting of aggregation term was developed and solved by the moment method. Different experiments were implemented to account for effective parameters on protein aggregation and to measure variations in average size of aggregates formed in a time interval. This was done by taking pictures with a CCD camera on a sterio microscope. The pictures were exported to image processing software to analyze average number and size of aggregates. The collision factor appearing in population balance equation was optimized and declared as a global term.