Tuesday, October 31, 2023
Monday, October 30, 2023
Got Citation for the Paper we work
Suresh Tech Labs
Friday, May 19, 2023
Published UGC CARE I Journal
Saturday, March 11, 2023
Published : International Journal with ISSN Number
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.
Monday, March 6, 2023
Published - UGC CARE II Journal
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.