Velagapudi Ramakrishna Siddhartha Engineering College

About: Velagapudi Ramakrishna Siddhartha Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Antenna (radio). The organization has 1307 authors who have published 1155 publications receiving 6163 citations.

An energy-efficient reconfigurable accelerators in multi-core systems using PULP-NN

Abstract: Emerging developments in embedded computer systems and applications demand low energy consumption and high performance. Owing to increased demand for low-voltage computing and lowered technology returns, academia and industry are interested primarily in energy-efficient accelerators. Hardware accelerators have the greatest disadvantage that they are not programmable. It can also be misused for a particular task. The number of accelerators in a device can cause scalability problems. Flexibility and scalability issues are present in programmable accelerators. Coarse-grained reconfigurable architecture (CGRA) design, implementation, computer systems integration and compilation for CGRA are the key contributions in this proposed design. First of all in parallel ultra-low-power processing system (PULP), the CGRA-based integrated programmable array (IPA) is implemented. Second, PULP-NN is a coding library that has been developed for the RISC-V cluster with parallel, high–low storage. The key development in PULP-NN is that the latest move towards aggressive quantization of deep neural network inferences which is a collection of kernels which use bytes and sub-byte information types up to INT-1. The library in the proposed procedure utilizes advanced sign handling expansions in the RISC-V PULP processors and in bunch matches, to accomplish ideal energy effectiveness of estimation execution.

Visual Enhancement Techniques For Underwater Images

Abstract: In the recent days, wide range of research has been carried out on visual enhancement of under images in submarine and military operations to discover submerged structural designing and sea floor exploration. But, diving in the deep ocean for a long time has increased the difficulties for analysis of underwater images. Further, other factors such as scattering resulting from presence of particles inside the water and blurring effects reduce the quality of images being captured by underwater optic camera. There are several algorithms have been introduced to improve the visual quality of deep water images. Therefore, in this project, a novel algorithm based on bidirectional Empirical Mode Decomposition (BEMD) to enhance the visual quality of the underwater images will be implemented and comparison of data with conventional enhancement technique will be illustrated. The implementation will be done using MATLAB software.

An Integrated Digital Authentication Mechanism for Intrusion Detection System

Abstract: The internet of things is the internetworking of physical devices, vehicles, buildings, and other items embedded with electronics, software, sensors, and network connectivity that enable these objects to collect and exchange data. Security has become an important issue everywhere. In current days, security is becoming necessary as the possibilities of attacks and threats are increasing day by day. In this situation, specific sensitive premises should monitor by a secure alert system with IoT-based advanced technology in order to prevent the threats and attacks on persons or system assets by intruders. The purpose of this system is to notify the use of the intruder's presence at premises and send alert messages to the authority people who help to take prevention actions as well as detection if in misfire situations. This notification will be helpful to know about intruder's presence even if right persons are away from the location.