Budge Budge Institute of Technology

About: Budge Budge Institute of Technology is a education organization based out in Baj Baj, India. It is known for research contribution in the topics: Steganography & Plasmon. The organization has 65 authors who have published 121 publications receiving 744 citations. The organization is also known as: BBIT.

Demand Aware Voltage Control of Hybrid Renewable Energy Tied Uneven Multi-level Smart Inverter

Abstract: This paper proposes a smart multi-level inverter with hybrid energy sources to increase the power quality, improve the number of voltage levels and reduce the total harmonic distortion. A single power source used in the distribution system is not convenient for all weather conditions. Our proposed work uses hybrid power source, which is the combination of solar and wind energy. The proposed smart multi-level inverter on this paper works for high power and medium voltage situations. The smart sensing unit decides the level of multi-level inverter to supply the power based on the demand, which avoids the energy loss across transmission line. An iterative Maximum Power Point Tracker is used to maximize the power extraction under all conditions. The design and implementation of the multi-level inverter with N-level cascaded H-bridge inverter using two DC power sources does not cause any complexity to the power circuit. The sinusoidal pulse width modulation is used to minimize the harmonic distortion caused by a high-level overlapping at a definite interval. The presented system is executed using Matlab/Simulink and is highly acceptable for industrial and commercial applications.

Comparison Study of DG-MOSFET with and without Gate Stack Configuration for Biosensor Applications

Abstract: In this Paper, we have studied and compared the performance of two different configurations of simulation model advanced MOSFET devices which can be used for biosensor application. The bio-molecules like protein, biotin, streptavidin, APTES, etc., undergo label free electrical detection with the help of dielectrical modulation technique in order to overcome the limitations of short channel effect in a more efficient way. The bio-molecules trapped inside the cavity region change the electrical parameters of the MOSFET. Biosensors based on MOSFETs have certain issues, like short channel effects (SCEs) and problems related to scaling and power supply. Therefore the proposed device is better withstand to SCEs and can be consider as an alternative for biosensing applications. For channel material, silicon is used for both the configurations i.e. with stack and without stack model and we have also studied the performance of the device based on the analog as well as RF parameters by considering the protein as bio-molecule in the cavity. Two different oxide materials are used to design the device structure such as HfO2 (K = 25) and SiO2 (K = 3.9) and for simulation purpose the 2D Sentrausu TCAD simulator has been used. The sensing capability of this proposed dielectric modulated device can be applicable for IOT based applications. They can also be uses in health IOT systems for medical research applications and as bio chip sensor in wearable device so as to study the protein content of the human body.

Effect of Surface Plasmon-Based Improvement in Optical Absorption in Plasmonic Solar Cell

Abstract: In the last few years, plasmonics has attracted much attention and has been included in the principal domains of nanophotonics that can manage optical fields at the nanodimension level. Its exquisi...

Analysis and synthesis of time-varying systems via orthogonal hybrid functions (HF) in state space environment

Abstract: This paper uses a set of hybrid functions (HF) formed by a combination of sample-and-hold function (SHF) set and triangular function (TF) set. The SHF set has been applied for analysing sample-and-hold control systems and the TF set has been proved to be efficient for obtaining piecewise linear solutions of control systems. In the present work, the HF set has been employed for the analysis and synthesis of homogeneous as well as non-homogeneous time-varying control systems in state space. The HF set works with function samples, and is thus useful for building an easier algorithm for time-varying system analysis. After developing necessary theories, a few examples are treated to illustrate the efficiency as well as simplicity of the approach. The results thus obtained are compared with the results obtained via traditional analysis, and relevant tables and graphs are included to justify the case for hybrid functions.