Sri Ramakrishna Engineering College

About: Sri Ramakrishna Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Control theory. The organization has 1030 authors who have published 843 publications receiving 3822 citations.

Implementation of Mesh Network Using Bluetooth Low Energy Devices

Abstract: This paper aims in design and implementation of a mesh network topology for Bluetooth Low Energy (BLE) devices. BLE has become a recent topic of research in both the Internet and the wireless industry. This paper introduces BLEmesh, a wireless mesh network protocol which utilizes the broadcasting capability of wireless transmissions. The available data payload using BLE’s Generic Access Profile (GAP) is used for data transfer. The data from different number of nodes and packets are send in batches. The nRF51822 device is used to implement the mesh network with the use of the soft device application provided by the developers to configure the node to switch between a peripheral and central node for data transfer . Three different sensors, namely heart beat sensor, temperature sensor, and touch sensor, are interfaced with the nRF51822 to show the mesh network working, and also the values are tabulated. The results indicate that the latency and power consumption of the proposed BLEmesh network is less than previous implementations.

A cluster based OLSR routing to overcome the routing issues in ad hoc networks: A review

Abstract: As the technologies overture, the communication media is upcoming with the need for wired and wireless networking. The wireless technology and portable computing devices enhances the future for wireless mobile networking. Mobile ad hoc network (MANET) is one of the emerging technologies with many applications. MANET is the network with specific characteristics like dynamic topology, wireless medium, and distributed co-operation. However, the nature of MANET makes it vulnerable to many challenges and security issues. In this paper, we give a brief idea about MANET with its challenges, application and overview of routing protocols. We have also proposed an idea of enhancing olsr by a clustering technique in order to reduce the network overhead and increase the packet delivery ratio which is effective in Vehicular ad hoc Network (VANET).

Virtual Reality Based Moon And Space Station

Abstract: This paper deals with the innovation to make kids get interested in the subject and learn things effectively and smartly using VR. Initially, the user will appear at the space station. The Space station consists of information about space and also the things/materials interactively used in a space station. The humanoid robot which is given to the physics of the object explains the information provided in the space station. The space station and moon were built using Blender and Unity3D along with C# scripts to bring a realistic surrounding to the player. The space station consists of a nuclear propulsion system that uplifts in space. Living rooms, a water production plant, and a laboratory are designed to replicate a real and futuristic environment. A secret room in the space station has a bot rocket that will take users to the moon. An animation appears in which the user can experience the entire solar system and then landed on the moon virtually. He can experience the immersive 360degree view on the moon surrounded by stars and other planets. Some interesting facts about the moon will be displayed for the kids to get better at the moon and space. The realistic gravity provided on the moon makes the user feel that he is walking on the moon using a Virtual Reality headset. The students can explore the immersive and attractive environment of the space station and the moon that will encourage fun learning.

Experimental Investigations on Adsorption of Reactive Toxic Dyes Using Hedyotis umbellate Activated Carbon

Abstract: Hedyotis umbellate activated carbon (HUAC) was prepared by chemical and thermal activation. The adsorption behavior of Hedyotis umbellate activated carbon in aqueous basic green 4 (BG4) and acid fuchsin (AF) was investigated and characterized by UV-vis, FTIR, and FESEM. The possible mechanism of the adsorption of BG4 and AF dyes on the HUAC surface was framed. The influence of various adsorption control parameters like the initial dye concentration, pH, adsorbent dose, contact time, and temperature was studied. The data confirmed excellent BG4 removal of 97.94% at pH 10 and AF removal of 76.7% at pH 4. The experimental data were fitted using Langmuir, Freundlich, and Temkin isotherms to examine the adsorption mechanism. The adsorption data revealed monolayer adsorption of BG4 with the maximum capacity of 102.38 mg/g and multilayer adsorption of AF with the capacity of 139.33 mg/g. The kinetic data for different initial dye concentrations were computed using pseudofirst order, pseudosecond order, and intraparticle diffusion models. Thermodynamic parameters like Gibbs free energy change , enthalpy change , and entropy change were evaluated. From the values obtained, the negative values of and indicate that the adsorption of BG4 and AF by HUAC is spontaneous and exothermic.

Investigations on surface characteristics over an Aluminium alloy in CNC turning operation

Abstract: It is universally acknowledged that the performance of any machining process is usually evaluated in terms of its productivity and surface quality. Each of these controlling criteria are affected directly and in different way by the tool edge wear, fracture, chatter, surface roughness, cutting force etc., among these responses from machining operation, surface roughness is always considered as one of the most reliable measures for tool wear monitoring and breakage detection. This paper focuses on developing an effective, inexpensive surface recognition system which could be implemented in the modern manufacturing environments. Experiments have been conducted on Aluminium 6061 T6 and for measuring surface roughness based on Design of Experiments (DOE). A statistical multiple regression model has been developed for correlating the values obtained. For the purpose of correlation, DOE software has been used and ANOVA analyses have been carried out to identify the significant factors affecting surface roughness. The experimental values are analyzed in the optimizer technique which uses the Design of Experiment (DOE) principles to generate parameters depending on the surface roughness needed in the manufacturing environment. Thus in case of mass production, time for inspection could be reduced and hence the surface recognition system results in better performance.