Papers by Dr. Shashi Kant Dargar ECE
Communications in Computer and Information Science, 2018
The rapid development in current information explosion has led to huge growth in data over time. ... more The rapid development in current information explosion has led to huge growth in data over time. Increase in internet and communication technology has resulted into generation of data streams. Due to its dynamic nature, the traditional techniques are not sufficient for privacy preservation of data streams. Researchers have been exploring alternative algorithms to achieve improved privacy of data streams. This paper proposes a novel approach to achieve reliable privacy preservation along with an efficient method for reverse engineering. The hashing based privacy preservation proposed in this paper optimizes the use of memory, reduces response time and shows high privacy level. Further the classification of the secured data obtained from this technique has also been analysed for the future behaviour of the data stream using appropriate tools.
Transparent electronics becomes one of the most advanced topics for wide range of device applicat... more Transparent electronics becomes one of the most advanced topics for wide range of device applications. The key components are wide band gap semiconductors, where oxides of different origins play an important role as passive component and also as active component, similar to what is observed in conventional semiconductors like silicon. Transparent electronics has gained special attention during the last few years and is today established as one of the most promising technologies for leading the next generation of flat panel display due to its excellent electronic performance. In this paper the recent progress in n-type oxide based thin-film transistors (TFT) is reviewed. After a short introduction where the main advantages of these semiconductors are presented, as well as the industry expectations, the beautiful history of TFTs is revisited. Then, an overview is presented of TCAD simulation tool for TFT.
Wireless Sensor Networks (WSNs) are being used to form large, dense networks for the purpose of l... more Wireless Sensor Networks (WSNs) are being used to form large, dense networks for the purpose of long term environmental sensing and data collection. Unfortunately, these networks are typically deployed in remote environment where energy source are limited. WSN's, present a new generation of real-time embedded systems with limited computation, energy and memory resources that are being used in a wide variety of applications where traditional networking infrastructure is practically infeasible. Appropriate cluster-head node election can drastically reduce the energy consumption and enhance the lifetime of the network. In this paper, a fuzzy based energy-aware sensor network communication protocol is developed based on three descriptors - energy, concentration and centrality. Further we have to compared fuzzy based approach with other popular protocol LEACH and improved hierarchy scheme DBS. Simulation shows that depending upon network configuration, a substantial increase in netwo...
International Journal of Electrical and Computer Engineering (IJECE), 2017
As reported in past decades, gallium nitride as one of the most capable compound semiconductor, G... more As reported in past decades, gallium nitride as one of the most capable compound semiconductor, GaN-based high-electron mobility transistors are the focus of intense research activities in the area of high power, high-speed, and high-temperature transistors. In this paper we present a design and simulation of the GaN based thin film transistor using sentaurus TCAD for the extracting the electrical performance. The resulting GaN TFTs exhibits good electrical performance in the simulated results, including, a threshold voltage of 12-15 V, an on/off current ratio of 6.5×107 ~8.3×108, and a sub-threshold slope of 0.44V/dec. Sentaurus TCAD simulations is the tool which offers study of comprehensive behavior of semiconductor structures with ease. The simulation results of the TFT structure based on gallium nitride active channel have great prospective in the next-generation flat-panel display applications.
2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2016
High optical transparency and low cost with excellent switching performance drew the attention of... more High optical transparency and low cost with excellent switching performance drew the attention of researchers in using ZnO as a potential material for TFT device design. The electrical parameter extraction of ZnO channel thin film transistor using simulation is carried out in Sentaurus TCAD tool. The scope of the research is to analyze the performance of the device on the basis of parameters extracted from its transfer characteristic. The device has shown high field effect mobility of order ~1 × 10-4, and significant on current -6.22 × 10-6 A, off current ~ 1.26 × 10-10 A with improved on-off ratio ~105, which makes the device reliable for the next generation of flexible electronics and display devices.
IOSR Journal of Electronics and Communication Engineering, 2013
In this work we present a filtering selection approach for efficient ANC system. Active noise can... more In this work we present a filtering selection approach for efficient ANC system. Active noise cancellation (ANC) has wide application in next generation human machine interaction to automobile Heating Ventilating and Air Conditioning (HVAC) devices. We compare conventional adaptive filters algorithms LMS, NLMS, VSLMS, VSNLMS, VSLSMS for a predefined input sound file, where various algorithms run and result in standard output and better performance. The wiener filter based on least means squared (LMS) algorithm family is most sought after solution of ANC. This family includes LMS, NLMS, VSLMS, VSNLMS, VFXLMS, FX-sLMS and many more. Some of these are nonlinear algorithm, which provides better solution for nonlinear noisy environment. The components of the ANC systems like microphones and loudspeaker exhibit nonlinearities themselves. The nonlinear transfer function create worse situation. This is a task which is some sort of a prediction of suitable solution to the problems. The Radial Basis Function of Neural Networks (RBF NN) has been known to be suitable for nonlinear function approximation [1]. The classical approach to RBF implementation is to fix the number of hidden neurons based on some property of the input data, and estimate the weights connecting the hidden and output neurons using linear least square method. So an efficient novel decisive approach for better performing ANC algorithms has been proposed.
RF Circuits For 5G Applications, Mar 15, 2023
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Papers by Dr. Shashi Kant Dargar ECE