KCG College of Technology

About: KCG College of Technology is a based out in . It is known for research contribution in the topics: Adsorption & Diesel fuel. The organization has 427 authors who have published 381 publications receiving 2193 citations.

A comparative study of Information Extraction tools used for Biological database

Abstract: The Internet presents a huge amount of biological data It is difficult to extract relevant data from various sources Therefore, the availability of robust, flexible Information Extraction (IE) systems and tool that transform the Web pages into program-friendly structures such as a relational database This paper made a study on information extraction tools Which can be used for Biological databases The tools have been classified based on four categories such as tools for Manually constructed Information Extraction, Supervised Wrapper Induction System, Semi supervised Information Extraction Systems, Unsupervised Information extraction Systems Finally we made a comparative study on the Information Extraction tools used for Biological database based on the technique used such as scan Pass, Extraction Rules Type, Features used, Learning Algorithm and Tokenization Schemes

FPGA Implementation of Haze Removal Technique Based on Dark Channel Prior

Abstract: Image dehazing is a much innovative and growing technology in applications of computer vision. Haze removal technique in FPGA using Nexys 4 DDR is implemented in this paper. The dark channel prior (DCP) has been an efficient dehazing technique. However, DCP can induce inaccurate approximation of transmission which results in colour distortion and halo effects in the brighter regions of an image. The proposed algorithm is implemented for haze removal of image to avoid the colour distortion of haze in bright and in non-bright areas with less complexity. The algorithm that is proposed in this paper is compared with the DCP method and the Tarel algorithm using Structural Similarity index (SSIM). The results show that the proposed algorithm removes haze effectively in both bright and non-bright areas of an image and the implementation in FPGA is done with less computational complexity. Implementation of dehazing in FPGA can be used in many applications of computer vision such as surveillance, military and transportation areas.

Inductive power transfer for massive electric vehicle charging by single phase inverter

Abstract: The studies for a Hybrid Electrical Vehicle (HEV) have attracted considerable attention because of the necessity of developing alternative methods to generate energy for vehicles due to limited fuel-based energy, global warming, and exhaust emission limits in the last century. Charging infrastructure for Electric Vehicles (EV) will be the key factor for ensuring a smooth transition to e-mobility. This paper focuses on charging technologies that will play a fundamental role in this regard: smart charging, contactless charging and on-road charging of EVs. Smart charging of EVs is expected to enable larger penetration of EVs and renewable energy, lower the charging cost and offer better utilization of the grid infrastructure. On the other hand, stationary contactless charging and on-road inductive charging of EV will remove the necessity for any cables, eliminate range anxiety issues and pave the way for automated driving. The electromagnetic and power converter design for contactless power transfer systems for future highways is reviewed in this paper Contactless charging is also known as wireless charging. Wireless power transfer works on the Inductive Power Transfer (IPT) principle, as found in the conventional transformers. An IPT charging method suitable for charging massive EBs is proposed to achieve Constant Current (CC) and Constant Voltage (CV) output with feedback control strategies or communication link between the transmitter side and receiver side. Two ac switches (ACSs) and an auxiliary capacitor utilized at the receiver side are employed to be operated once to change the charging modes from CC mode to CV mode.

An inductor less DC-DC voltage magnifier for solar photovoltaic system

Abstract: The traditional power converters used for PV applications use an inductor to achieve the power conversion which increases the size of the power circuit and efficiency reduces. An inductor less Nx DC-DC voltage magnifier without any magnetic element is presented in this paper. The simulation is performed using MATLAB/Simulink software and results are presented. The result shows that the Nx dc-dc voltage converter suits best for renewable energy systems because of its smaller size, better efficiency and having magnetic less components which makes it suitable for Photovoltaic system.

An inductor less DC-DC voltage magnifier for solar photovoltaic system

Abstract: The traditional power converters used for PV applications use an inductor to achieve the power conversion which increases the size of the power circuit and efficiency reduces. An inductor less Nx DC-DC voltage magnifier without any magnetic element is presented in this paper. The simulation is performed using MATLAB/Simulink software and results are presented. The result shows that the Nx dc-dc voltage converter suits best for renewable energy systems because of its smaller size, better efficiency and having magnetic less components which makes it suitable for Photovoltaic system.