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In a neuromorphic integrated circuit synaptic dynamics are of great importance to capture accurate neural behaviors. In this paper, we propose a current-based synapse design mediated with multiple receptor types, namely AMPA, NMDA and GABAa, and a weight-dependent learning algorithm. Due to various biological conducting mechanisms, the receptors demonstrate different kinetics in response to stimulus...
Medical data contain very valuable information which can save many lives if it is analyzed and utilized efficiently. Efficient analysis of this large volume of data demands the right choice of predictors and this in turn can impact the accuracy of the decision support system. Dimensionality reduction and feature subset selection are two techniques to reduce the number of features used in classification...
Swarm robots have the potential to be utilized as a part of various applications due to the obvious advantages they offer, namely their resilience, their adaptability to different environments, and their reduced reliance on humans, particularly for hazardous or laborious tasks such as search and rescue operations (SaR). Several particle swarm optimization (PSO) algorithms have been proposed and developed...
In the present work, a novel technique for detection and classification of transient phenomenon occurring in power systems is proposed based on high order statistical moments using empirical mode decomposition (EMD). Occurrence of transient disturbances in power systems are very common and require advanced detection techniques for their proper monitoring. In this study, transient electrical disturbances...
The ever growing economy in India with its rising population, improving living standards is witness to a growing appetite for quality and quantity of energy services. The goal set by nation is to achieve renewable energy generation of of 175 GW by 2022. This presents the power system planners with a challenge to ensure access for prosumers to modern energy which is environmentally, institutionally...
Measurement of a physical parameter can adversely be affected by several factors like manufacturing process variations, environmental conditions etc. The measured output may non-linearly vary with many of these factors and may cause error in the parameter being measured. A precise modeling of the input-output relationship of measurement systems is indeed a necessity in order to have an accurate measurement...
Electroencephalogram (EEG) measures the brain oscillatory activity non-invasively. The localization of deep brain generators of the electric fields is essential for understanding neuronal function in healthy humans and for damasking specific regions that cause abnormal activity in patients with neurological disorders. The aim of this study was to test whether the phase estimation from scalp data can...
A ray dynamical approach is developed for the study of large-core asymmetric step index fibres (SIF), especially those made from chalcogenide glasses (ChGs) which can exhibit very high refractive index, large numerical aperture, and which are transparent at mid-infrared wavelengths. The model allows for deformations of the SIF away from concentric circular structures, and for the light rays captured...
Grasping objects is one of the most important hand utilisation in everyday life. Due to neuromuscular ailments or injury, some people are unable to move their hands. Though myoelectrically controlled prostheses are widely available in the market, they require some muscle based control points which are hardly available for many. Motor Imagination (MI) controlled prostheses will surpass this shortcomings...
Machine learning and Data mining techniques are rapidly establishing themselves in medical and health care fields. This paper addresses a similar issue where the fitness of an individual can be predicted by analyzing few attributes associated with that individual. A hybrid classifier algorithm is developed by merging Decision Tree and Naïve Bayes algorithms which will classify the Fitness data set...
This article addresses a grid-based target searching problem in a multi-searcher single-target environment. In the problem, the mobile sensors and the mobile object are the searchers and the target, respectively. The problem is described as follows — the target enters into a grid from any one of the sides and aims to exit the opposite side; the searchers try to search the target before the target...
In this paper, RF MEMS switches are designed and simulated for applications in reconfigurable antennas. RF MEMS switches are replacing the traditional semiconductor switches such as FET and PIN diodes which were used with antennas for reconfiguration. The Coventorware software (FEM) is used for the simulation of the RF MEMS switch. The configuration of the different RF MEMS switches are analyzed....
Object detection and recognition are crucial elements of any high level image analysis system. Convolutional Neural Networks (CNNs) or ConvNets have been applied for recognizing the category of the principal entity in an image for several years. One major benefit of convolutional networks is the use of shared weights in the intermediate convolutional layers, which reduces the required memory size...
The RCo5 family of rare-earth/transition metal permanent magnets has been the subject of decades of research, not only from the point of view of applications (e.g. R=Sm) but also fundamental theory, owing to their relatively simple crystal structure [1] (Fig. 1).
In this paper, a new automatic histogram equalization algorithm which is based on Bi-Histogram Equalization (BHE) is proposed. The proposed method preserves the brightness and also improves the contrast. Mean value of the intensity is used for selecting the thresholds to avoid over enhancement also improving contrast of the image. The calculated mean limits the valley points to divide the histogram...
The extensive improvement in the VLSI technology results in optimization of various factors, at the same time causing overhead in area, delay etc. Multipliers being the integral part of major application systems like Digital Signal Processor (DSP), Microprocessor and Application Specific Integrated Circuits (ASIC'S) plays a major role in the overall area, power consumption and performance of the processor...
Cloud computing and virtualization go hand in hand and have provided unlimited opportunities for Information Technology (IT) to achieve dynamicity and flexibility in the provisioning of value based services to the cloud end users including large business enterprises. However one of the primary obstacles to widespread acceptance of the cloud are the complex issues of security and the consequent lack...
Cloud computing presents unlimited prospects for Information Technology (IT) industry and business enterprises alike. Rapid advancement brings a dark underbelly of new vulnerabilities and challenges unfolding with alarming regularity. Although cloud technology provides a ubiquitous environment facilitating business enterprises to conduct business across disparate locations, security effectiveness...
Networking and communication systems are meant to perform data operations to obtain data integrity in secured states. For this reason, Block Cipher and Hash Function play an important role in providing the data integrity and security. Authenticated Encryption (AE) is a technique that performs both encryption and authentication with single algorithm and aids achieving high speed implementation goal...
In high-performance computing (HPC) platform, resource usage pattern changes over time which makes the resource monitoring a challenge. Maintaining the performance goals within a good power range is very critical where servers suffer from under utilisation, failure or degraded hardware support. Better forecast of the workload can reduce the energy cost by predicting the future workload more accurately...
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