Prasanna Kumar Sahu

Bio: Prasanna Kumar Sahu is an academic researcher from National Institute of Technology, Rourkela. The author has contributed to research in topics: MOSFET & Transconductance. The author has an hindex of 17, co-authored 152 publications receiving 1476 citations.

The Role of Geometry Parameters and Fin Aspect Ratio of Sub-20nm SOI-FinFET: An Analysis Towards Analog and RF Circuit Design

Abstract: Nowadays FinFETs integrated into complex circuit applications can fulfill the demand of smartphones and tablets for better performance and make chips that can compute faster. This paper studies the impact of $H_{{\rm Fin}}$ and $W_{{\rm Fin}}$ variations on various performance matrices including static as well as dynamic figures of merit (FOMs). With the help of aspect ratio ( $W_{{\rm Fin}}/H_{{\rm Fin}}$ ), the device is branched into three parts, i.e., FinFET, Trigate, and Planar MOSFET. This unique report is a presentation of a detailed analysis about the impact of fin height ( $H_{{\rm Fin}}$ ) and width ( $W_{{\rm Fin}}$ ) on various performances including the dc as well as ac FOMs. The static or low-frequency performances like threshold voltage ( $V_{{\rm th}}$ ), on current ( $I_{{\rm on}}$ ), off current ( $I_{{\rm off}}$ ), power dissipation, transconductance ( $g_{{\rm m}}$ ), output conductance ( $g_{{\rm d}}$ ), transconductance generation factor ( $TGF = g_{{\rm m}}/I_{{\rm D}}$ ), early voltage ( $V_{{\rm EA}}$ ), gain ( $A_{{\rm V}}$ ), and dynamic or high-frequency performances as gate capacitance ( $C_{{\rm gg}}$ ), cutoff frequency ( $f_{{\rm T}}$ ), output resistance ( $R_{{\rm 0}}$ ), intrinsic delay are systematically presented with the variation of device geometry parameters. The results presented in this paper can be of great help to device engineers in designing 3-D devices as per their requirement.

Extraction of fetal ECG signal by an improved method using extended Kalman smoother framework from single channel abdominal ECG signal

Abstract: This paper proposes a five-stage based methodology to extract the fetal electrocardiogram (FECG) from the single channel abdominal ECG using differential evolution (DE) algorithm, extended Kalman smoother (EKS) and adaptive neuro fuzzy inference system (ANFIS) framework. The heart rate of the fetus can easily be detected after estimation of the fetal ECG signal. The abdominal ECG signal contains fetal ECG signal, maternal ECG component, and noise. To estimate the fetal ECG signal from the abdominal ECG signal, removal of the noise and the maternal ECG component presented in it is necessary. The pre-processing stage is used to remove the noise from the abdominal ECG signal. The EKS framework is used to estimate the maternal ECG signal from the abdominal ECG signal. The optimized parameters of the maternal ECG components are required to develop the state and measurement equation of the EKS framework. These optimized maternal ECG parameters are selected by the differential evolution algorithm. The relationship between the maternal ECG signal and the available maternal ECG component in the abdominal ECG signal is nonlinear. To estimate the actual maternal ECG component present in the abdominal ECG signal and also to recognize this nonlinear relationship the ANFIS is used. Inputs to the ANFIS framework are the output of EKS and the pre-processed abdominal ECG signal. The fetal ECG signal is computed by subtracting the output of ANFIS from the pre-processed abdominal ECG signal. Non-invasive fetal ECG database and set A of 2013 physionet/computing in cardiology challenge database (PCDB) are used for validation of the proposed methodology. The proposed methodology shows a sensitivity of 94.21%, accuracy of 90.66%, and positive predictive value of 96.05% from the non-invasive fetal ECG database. The proposed methodology also shows a sensitivity of 91.47%, accuracy of 84.89%, and positive predictive value of 92.18% from the set A of PCDB.

Recent Advances in Heterogeneous Photocatalytic Decolorization of Synthetic Dyes

Abstract: During the process and operation of the dyes, the wastes produced were commonly found to contain organic and inorganic impurities leading to risks in the ecosystem and biodiversity with the resultant impact on the environment. Improper effluent disposal in aqueous ecosystems leads to reduction of sunlight penetration which in turn diminishes photosynthetic activity, resulting in acute toxic effects on the aquatic flora/fauna and dissolved oxygen concentration. Recently, photodegradation of various synthetic dyes has been studied in terms of their absorbance and the reduction of oxygen content by changes in the concentration of the dye. The advantages that make photocatalytic techniques superior to traditional methods are the ability to remove contaminates in the range of ppb, no generation of polycyclic compounds, higher speed, and lower cost. Semiconductor metal oxides, typically TiO2, ZnO, SnO, NiO, Cu2O, Fe3O4, and also CdS have been utilized as photocatalyst for their nontoxic nature, high photosensitivity, wide band gap and high stability. Various process parameters like photocatalyst dose, pH and initial dye concentrations have been varied and highlighted. Research focused on surface modification of semiconductors and mixed oxide semiconductors by doping them with noble metals (Pt, Pd, Au, and Ag) and organic matter (C, N, Cl, and F) showed enhanced dye degradation compared to corresponding native semiconductors. This paper reviews recent advances in heterogeneous photocatalytic decolorization for the removal of synthetic dyes from water and wastewater. Thus, the main core highlighted in this paper is the critical selection of semiconductors for photocatalysis based on the chemical, physical, and selective nature of the poisoning dyes.

Recent Progress on Titanium Dioxide Nanomaterials for Photocatalytic Applications.

Abstract: Environmental and energy problems have drawn much attention owing to rapid population growth and accelerated economic development For instance, photocatalysis, "a green technology", plays an important role in solar-energy conversion owing to its potential to solve energy and environmental problems Recently, many efforts have been devoted to improving visible-light photocatalytic activity by using titanium dioxide as a photocatalyst as a result of its wide range of applications in the energy and environment fields However, fast charge recombination and an absorption edge in the UV range limit the photocatalytic efficiency of TiO2 under visible-light irradiation Many investigations have been undertaken to overcome the limitations of TiO2 and, therefore, to enhance its photocatalytic activity under visible light The present literature review focuses on different strategies used to promote the separation efficiency of electron-hole pairs and to shift the absorption edge of TiO2 to the visible region Current synthesis techniques used to elaborate several nanostructures of TiO2 -based materials, recent progress in enhancing visible photocatalytic activity, and different photocatalysis applications will be discussed On the basis of the studies reported in the literature, we believe that this review will help in the development of new strategies to improve the visible-light photocatalytic performance of TiO2 -based materials further

Bioelectrical Signal Processing In Cardiac And Neurological Applications

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