Neurocomputational Models for Parameter Estimation of Circular Microstrip Patch Antennas

AbstractNeurocomputational models eliminates the complex, lengthy and time consuming mathematical procedures for design, analysis and calculating performance parameters of Microstrip antenna. No single ANN based model has been proposed till date for calculating all parameters of circular microstrip antennas simultaneously. This paper presents a Neuro-Computational (NC) approach for estimation of all performance parameters such as Return Loss (RL), Voltage Standing Wave Ratio (VSWR), resonant frequency (fr), Band-Width (BW), Gain(G), Directivity(D) and antenna efficiency(η) of Circular Microstrip Patch Antenna (CMPA) simultaneously. The difficulty in calculating the parameters of these antennas lies due to the involvement of a large number of physical parameters including their associated optimal values. It is indeed very difficult to formulate an exact numerical solution merely on practical observations based empirical studies. In order to circumvent this problem, an alternative solution is achieved using artificial neural network (ANN). Feed-Forward Back-Propagation Artificial Neural Network (FFBP-ANN) trained with Levenberg-Marquardt algorithm is used for estimation of different performance parameters of CMPA. The results of NC estimation are in very agreement with simulated, measured and theoretical results

Finite Element Modeling and Validation of Steel Sheathed Cold-Formed Steel Framed Shear Walls

The objective of this paper is to validate the concept of utilizing a truss-element based finite element model for capturing the in-plane cyclic response of steel sheathed cold-formed steel (CFS) framed shear wall. The model is developed within the OpenSees finite element platform. Steel sheathed CFS shear walls show shear buckling of their sheathing as a tension field develops. This inelastic behavior of the shear walls is replicated by using the Pinching4 material for truss elements acting along the tension field. Importantly, the model employs beam-column elements for framing members, rotational springs for representing frame stiffness and vertical springs for modelling hold-downs. The wall models were calibrated using experimental data available for 0.030-in. and 0.033-in. steel sheet sheathed shear walls with 2:1 and 4:1 aspect ratios and 6-in., 4-in. and 2-in. fastener spacing at panel edges. The specimens were subjected to symmetric reverse cyclic displacement-controlled loading using the CUREE protocol. Comparison amongst the experimental and numerical models demonstrate a high degree of accuracy in the estimated shear strength and hysteretic response of the shear walls and as such has the potential to be an important building block towards modeling full structural systems constructed of cold-formed steel framing

A compact aVLSI conductance-based silicon neuron

We present an analogue Very Large Scale Integration (aVLSI) implementation that uses first-order lowpass filters to implement a conductance-based silicon neuron for high-speed neuromorphic systems. The aVLSI neuron consists of a soma (cell body) and a single synapse, which is capable of linearly summing both the excitatory and inhibitory postsynaptic potentials (EPSP and IPSP) generated by the spikes arriving from different sources. Rather than biasing the silicon neuron with different parameters for different spiking patterns, as is typically done, we provide digital control signals, generated by an FPGA, to the silicon neuron to obtain different spiking behaviours. The proposed neuron is only ~26.5 um2 in the IBM 130nm process and thus can be integrated at very high density. Circuit simulations show that this neuron can emulate different spiking behaviours observed in biological neurons.Comment: BioCAS-201

A Reconfigurable Mixed-signal Implementation of a Neuromorphic ADC

We present a neuromorphic Analogue-to-Digital Converter (ADC), which uses integrate-and-fire (I&F) neurons as the encoders of the analogue signal, with modulated inhibitions to decohere the neuronal spikes trains. The architecture consists of an analogue chip and a control module. The analogue chip comprises two scan chains and a twodimensional integrate-and-fire neuronal array. Individual neurons are accessed via the chains one by one without any encoder decoder or arbiter. The control module is implemented on an FPGA (Field Programmable Gate Array), which sends scan enable signals to the scan chains and controls the inhibition for individual neurons. Since the control module is implemented on an FPGA, it can be easily reconfigured. Additionally, we propose a pulse width modulation methodology for the lateral inhibition, which makes use of different pulse widths indicating different strengths of inhibition for each individual neuron to decohere neuronal spikes. Software simulations in this paper tested the robustness of the proposed ADC architecture to fixed random noise. A circuit simulation using ten neurons shows the performance and the feasibility of the architecture.Comment: BioCAS-201

A REVIEW ON DISSOCIATIVE PERSPECTIVE OF ATTENTION AND CONSCIOUSNESS

Purpose of the study: To answer the two existing controversies regarding attention and consciousness as brain processes. 1) Can one be aware of objects or events without attending to it? 2) Can one attend to objects or events without being aware of it? And also how top-down attention and awareness have opposing functions. Methodology: This article is a systematic review of the relationship between visual attention and awareness. An extensive elaborate study on concepts relating to attention and consciousness dissociation has been done. In this article we also narrow it down to experimental design that requires independent manipulation of each. Which include top-down attention and awareness aspect of consciousness? Main Findings: Many researches have been put forward supporting the independent nature of attention from awareness using sophisticated experimental and physiological shreds of evidence. On the other hand, some researches still stick to the contemporary common-sense notion of no awareness no attention. Our evaluation suggests an independent nature of attention and awareness. Application: This article intends to give a clear perspective of the ongoing debate on the relationship between attention and consciousness. Simplification of both umbrella terms will give basis for building more empirical evidence. Novelty: Further, this article put forward studies on both sides of debate aiming to bridge the gap to get a conclusive outlook in the future

Hepatoprotective agent tethered isoniazid for the treatment of drug-induced hepatotoxicity: Synthesis, biochemical and histopathological evaluation

AbstractThe aim of the study was to investigate the protective effect of isoniazid–curcumin conjugate (INH–CRM) in INH-induced hepatic injury by biochemical analysis and histology examination of liver in Wistar rats. The biochemical analysis included determination of the levels of plasma cholesterol, triglycerides (TG), albumin content, and lipid peroxidation (MDA). INH–CRM administration resulted in a significant decrease in plasma cholesterol, TG, and MDA levels in the liver tissue homogenate with an elevation in albumin level indicating its hepatoprotective activity. Histology of the liver further confirmed the reduction in hepatic injury. The hepatoprotective with INH–CRM can be attributed to the antioxidant activity of curcumin. The conjugate probably stabilizes the curcumin molecule, preventing its presystemic metabolism thereby enhancing its bioavailability and therefore, its hepatoprotective activity. Thus, the novel INH–CRM has the potential to alleviate INH-induced liver toxicity in antitubercular treatment

Dwellings and land models, Nairobi, Kenya.

Massachusetts Institute of Technology. Dept. of Architecture. Thesis. 1974. M.Arch.A.S.MICROFICHE COPY ALSO AVAILABLE IN ROTCH LIBRARY.Also issued by the M.I.T. Education Research Program: Urban Settlement Design in Developing Countries, Cambridge, Mass. in 1974.Bibliography: p. 44.M.Arch.A.S

Site and services housing projects in Kenya

Thesis. 1975. M.C.P.--Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.Bibliography: leaves 234-237.by Tara Singh Chana.M.C.P