About Me |
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Prof.Rajesh Kumar Mishra Joined at Centurion Universty of Technology and Management in Department of E.C.E on 2009.. He has completed his M.Tech on(Electronics Design and Technology) from Tezpur Central university,Assam. |
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In this project we present the modelling of SOIMOSFET
through simulation TCAD tool in micrometer
dimensions called SILVACO-ATLAS. This simulation
tool is used for modelling of different types of
semiconductor devices. SILVACO is a 2D virtual wafer
fabrication tool where many simulators are present within
it. The main simulators are Atlas and Athena etc. SOI
Technology follows after CMOS devices. The major
problems associated with CMOS devices are Degraded
subthreshold slope, Parasitic capacitance and Latch up
effect .SOI-MOSFET is a Silicon on Insulator (SOI) metal oxide
semiconductor FET structure where a semiconductor layer e.g.
silicon, germanium or the like is formed above an insulator layer
which may be a buried oxide (BOX) layer formed in a
semiconductor substrate. The characteristics of SOI-MOSFET
can be studied by varying thickness of either silicon layer or
oxide layer and the effect of change in threshold voltage values.
Different characteristics curves between voltage and current,
capacitance and voltage and thickness in silicon layer and
threshold voltage etc. Different structures were modelled in
SILVACO-Atlas. All these curves are obtained from these
different structures of SOI-MOSFET devices. The advantages of
using SOI-MOSFET device to remove high parasitic capacitance
values and latch effect thereby improving performance. This
SILVACO software will provide all types of device modelling
with low-cost and easily available simulators successfully.
In this project we present the modelling and simulation of ZnO contact on metal substrates using SILVACO TCAD Tool. SILVACO Software is a 2D simulation tool used for modelling and fast simulation of all types of semiconductor devices. It provides two simulators-Athena and Atlas. ZnO is a compound semiconductor with a wide band-gap used for various fields of optoelectronics, sensors and nanotechnology. The model for ZnO contact on metal substrates like (Al, Cu) interaction showed the effect of ZnO, its stability of contact formation and electrical characteristics. ZnO being a compound semiconductor it’s challenging to produce rectifying characteristics over metal substrates. This was possibly obtained through Silvaco. Both the electrical and material characterization of ZnO on metals were analysed and studied. This project proposed an easy and low-cost characterization that was able to emphasize the model designing in Silvaco Software. The stable contact formation of ZnO attracted further in various high- frequency applications. All simulated results and the experimental results evolved are comparatively analysed and studied. Experimental results are taken inputs for the simulators –Atlas which ultimately proved and showed the models functioning properly. Advantages of Modelling—Easy and fast simulation in order to cope up with real-time fabrication
methods.
This paper describes an FPGA implementation of IEE-754 format single precision floating point MAC unit that is used in artificial neural networks to feed the weighted inputs to the neurons. Use of floating point numbers improves the range of the representation of data from very small number to a very large number which is mostly recommended for Artificial Neuron Networks.
This paper work focuses on the characteristic study of AlGaN/GaN HEMT, depending on some physical parameters of the material used. AlGaN/GaN HEMTs having feature of high saturation current, low pinch-off and hence lower on-resistance and higher switching speed, due to the high electron mobility at the hetero-junction. The high electron mobility is caused by two dimensional electron gas (2-DEG).Analysis suggests that the on-resistance of AlGaN HEMTs is lower than that of SiC FETs, depending on the mole fraction of Aluminum (i.e. Aluminum composition). Device simulation was done on Silvaco ATLAS to analyze into the operation mechanism on different types of GaN HEMTs and shows that the high breakdown voltage devices design is possible with AlGaN/GaN.
In the present article, an attempt has been made to derive optimal data-driven machine learning
methods for forecasting an average rainy season (June to September, 1901-2018) rainfall of the state of
Odisha in India. This comparative analysis is based on three aspects: pre-processing techniques input
modeling and modeling methods. Comparisons among the three linear regression analysis, random
forest method and Artificial Neural network method have been considered to find out a best prediction
technique. In this study it has been observed that the maximum rain fall 385.3mm occurred in year
1961and minimum197.2mm rain fall occurred in year 1974.It has been found that maximum accuracy
for Random forest regression 91% and mean absolute error was 2.3%, for ANN accuracy was 89.64% and
mean absolute error was 3.2%,for Linear regression accuracy was 87.28% and mean absolute error was
3.8%.from the present study it has been observed that Random forests is a viable model to be used in the
field of rainfall prediction.
In this paper design and simulation has been carried out for 8*8 multiplier circuits using the Modified Gate Diffusion Input (MGDI) based adder cellusing Digital Schematic (DSCH3) CAD tools and their simulations are generated by Micro wind 3 CAD tool. Further the performance assessment comparison of multipliers were made.Adder has been known to be the basic building block of all arithmetic operations, thus the focus is also to optimize the adder circuit that can be implemented in different multiplier algorithms and to compare their results in terms of area, operating speed, power consumption and transistor count.
The Video Graphic Array is a standard interface VGA which is used in different application such as surveillance systems, ATM machines, and video conferencing. VGA provides connection to a system with a monitor. The paper presents displaying of a VGA monitor with the help of Xilinx
platform using Verilog programming. In this work VGA timing is generated whose position and
even size can be changed. The Code is synthesized and netlist is generated to obtain the bit stream
for FPGA implementation. VGA video signal contains 5 active signals. H_sync, V_sync, R, G, B. By
changing the three RGB signals all other colors are produced. RTL of the design is obtained and
simulation results are presented to validate the design
The proThe processors are basically categorized into two components such as data path which contains all the required hardware to perform different operations and the second one is controller
unit which determines the datapath operations. The paper presents the design and synthesis of a
data path controller using different approaches. The work is demonstrated through design 4 bit
counter consisting of datapath and control unit. The presented work is simulated using Xilinx ISE
Design suite using Verilog programming. Top module and RTL of the system is obtained through
synthesis process. Testbench code has been implemented to the design for validation of the system.cessors are basically categorized into two components such as data path which
contains all the required hardware to perform different operations and the second one is controller
unit which determines the datapath operations. The paper presents the design and synthesis of a
data path controller using different approaches. The work is demonstrated through design 4 bit
counter consisting of datapath and control unit. The presented work is simulated using Xilinx ISE
Design suite using Verilog programming. Top module and RTL of the system is obtained through
synthesis process. Testbench code has been implemented to the design for validation of the system.
Book Chapter published under Book Titled "Project Management and Smart Electrical System"
Book Chapter published under Book Titled "Project Management and Smart Electrical System"