DESIGN & IMPLEMENTATION OF EV SYSTEM BY USING RENEWABLE ENERGY SOURCE
In the current scenario, global warming is a threat to the society. One of the major reasons is the release of carbon-di-oxide from an automobile exhaust due to the combustion of fossil fuels which pollutes the environment. One of the optimistic solutions for this problem is to use of hybrid vehicles. Generally, Hybrid vehicle involves a combination of transmission system driven through electrical, solar as well as internal combustion (IC) engine. In real life applications using solar vehicle produces zero emissions. At present, hybrid electric vehicles are being developed and launched into the market. For long distance travelling its necessary of periodic charging of their batteries, so these vehicles are depends the electrical sources also leads to increase the cost of electricity. These kinds of problems will be solved by using hybrid solar vehicle also HSV supporting to the green environment.
Keywords - global warming, fossil fuels, hybrid vehicles, hybrid solar vehicle, green environment, emissions.
Optimization of PAPR in OFDM using Orthogonal Selective Level Mapping (SLM)
Indexed in - Google Scholar
Abstract— To optimize the PAPR in conventional OFDM, Low Complexity Selective Level Mapping (SLM) is considered in this paper as it reduces PAPR significantly without loss of information. Orthogonal Frequency Division Multiplexing (OFDM) is the multicarrier modulation techniques, and it provides the provides the high spectral efficiency, low complication in implementation, less sensitivity to echoes and distortion. Due to these advantages of OFDM system is vastly used in various communication systems. But the major drawback of OFDM system is increase in peak power due to coherent addition of sub carriers. OFDM signal is the sum of many independently modulated sinusoidal waves and the amplitude is almost Rayleigh distribution. Amplitude of OFDM signal shows strong fluctuations and the resultant high Peak-to Average. Several techniques have been proposed to reduce PAPR, Low Complexity SLM can be employed in this paper to reduce PAPR in an OFDM system. In Low complexity SLM, PAPR can be reduced by multiplying the original signal with Orthogonal vector and generate statistically independent sequences which represent the same information before IFFT operation in OFDM system. The resulting independent data blocks are then forwarded into IFFT operation simultaneously and generate OFDM signal sequences.
After that compute the PAPR for all the OFDM signal sequences. Finally, the one sequence with the smallest PAPR will be selected for transmission. The proposed SLM scheme achieves similar PAPR reduction performance with much lower computational complexity compared with the conventional SLM scheme. The performance of the proposed SLM scheme is verified with various modulation schemes. The results are simulated using MATLAB.
Keywords— Selective Level Mapping (SLM), OFDM, Peak to Average Power Ratio
Published - UGC CARE II Journal
High Speed Low Area Distributed Arithmetic-fir Filter For Applications Used In Signal Processing
Abstract - In this paper, we present a novel Distributed Arithmetic based Finite Impulse Response filter for signal processing applications. DA based FIR filter will occupy more area and power when filter order is increased. To get rid of this, in the paper, we used offset binary coding (OBC) concept. Instead of using binary inputs we are using OBC values for increasing the speed. By using OBC concept the memory usage will be decreased when compared with the basic DA. The proposed design is implemented in Xilinx tool. The area occupied by the proposed design is half when compared with basic DA. The speed of operation of the proposed design is very high.
Keywords- Distributed Arithmetic, Finite impulse response, signal processing, offset binary coding.
Published : International Journal with ISSN Number
Digital Image Processing - Research Opportunities and Challenges
Interest in digital image processing methods stems from two principal application areas: improvement of pictorial information for human interpretation; and processing of image data for storage, transmission, and representation for autonomous machine perception. The objectives of this article is to define the meaning and scope of image processing, discuss the various steps and methodologies involved in a typical image processing, and applications of image processing tools and processes in the frontier areas of research.
Key Words: Image Processing, Image analysis, applications, research.
Published - UGC CARE II Journal
High Speed Low Power Pre-Charge CAM Design using Hybrid self-control
Abstract : In this paper, we present a novel content addressable memory (CAM) is discussed. Although it uses more power, ontent-addressable memory (CAM) is a popular piece of hardware for high-speed lookup searches. Traditional NOR and NAND match-line (ML) architectures experience charge and short circuit path sharing during pre-charge, respectively. The pre-charge-free CAM that was recently proposed has a high search cost. delay and excessive power consumption of the subsequently proposed elf-controlled pre-charge-free CAM. In order to decrease search delay and power consumption, the hybrid self-controlled pre- harge-free (HSCPF) CAM architecture presented in this study employs a unique charge control circuitry. Both the present and planned CAM ML designs were created using the CMOS 45nm technology node and a 1 V supply voltage. When compared to, simulation results demonstrate that the suggested HSCPF CAM-type ML design effectively reduces power consumption and search latency.
Keywords: Content Memory Address, hybrid model, Precharge phase.
