Deep convolutional neural networks (CNNs) have made impressive progress in many video recognition tasks such as video pose estimation and video object detection. However, CNN inference on video is computationally expensive due to processing dense frames individually. In this work, we propose a framework called Recurrent Residual Module (RRM) to accelerate the CNN inference for video recognition...

A gelator that consisted of one benzimidazole moiety and four amide units was used as a chemosensor. We found that its absorption and emission spectra in solution were sensitive to two complementary chemical stimuli: protons and anions. Thus, YES and INH logic gates were obtained when absorbance was defined as an output. A combination gate of XNOR and AND with an emission output was also obtain...

In the quest for novel, scalable and energy-efficient computing technologies, many non-charge based logic devices are being explored. Recent advances in multi-ferroic materials have paved the way for electric field induced low energy and fast switching of nano-magnets using the magneto-electric (ME) effect. In this paper, we propose a voltage driven logic-device based on the ME induced switchin...

In this paper, we propose a novel multiplexer-based full adder design, denoted as MUXFA, by using regular modules for arithmetic applications. The MUXFA full adder is composed of three identical modules, in which each module separately operates for XOR-XNOR function, sum function, and carry function. The structure of the multiplexer-based full adder can be easily constructed by merely a single ...

Balancing protein expression is critical when optimizing genetic systems. Typically, this requires library construction to vary the genetic parts controlling each gene, which can be expensive and time-consuming. Here, we develop sRNAs corresponding to 15nt 'target' sequences that can be inserted upstream of a gene. The targeted gene can be repressed from 1.6- to 87-fold by controlling sRNA expr...

VLSI Circuit Design is a significant subject for instance like adders and multipliers for the implementation of a various of logic and arithmetic functions likes of basic circuit approach and topology. Full adders like digital signal processors (DSP) architectures and microprocessors are vital elements in the application. Apart from that, the adding of two numbers is main assignment. it's key t...

We present Bitwise Neural Networks (BNN) as an efficient hardware-friendly solution to single-channel source separation tasks in resource-constrained environments. In the proposed BNN system, we replace all the real-valued operations during the feedforward process of a Deep Neural Network (DNN) with bitwise arithmetic (e.g. the XNOR operation between bipolar binaries in place of multiplications...

Logic gates are devices that can perform logical operations by transforming a set of inputs into a predictable single detectable output. The hybridization properties, structure, and function of nucleic acids can be used to make DNA-based logic gates. These devices are important modules in molecular computing and biosensing. The ideal logic gate system should provide a wide selection of logical ...

Low power, High speed parallel architecture of cyclic convolution (FNT) in diminished-1 number system. For Designing of Low Power we are being using the Novel Architecture Technique of XOR-XNOR Mux style 4-2 Compressor. The power consumption, Delay and Area of this new novel 4-2 Compressor Architecture is compared with Existing architecture. In the proposed architecture the outputs are efficien...

Quantum-dot Cellular Automata (QCA) has emerged as one of the alternative technologies for current CMOS technology. It advantage computing at a faster speed, consuming lower power, and work Nano- Scale. Besides these advantages, QCA logic is limited to its primitive gates, majority voter inverter only, results in limitation cost-efficient circuit realization. Numerous designs have been proposed...