Journal of Web Development and Web Designing

Comparative Study of Independent Component Analysis and Adaptive Filter for Removal Ocular Artifact from EEG Data

Mangesh G. Tuplondhe — 2016-11-09

EEG is brain signal process technique that enables gaining the understanding of the complicated inner mechanisms of the brain and abnormal brain waves have shown to be related to specific brain disorders. The analysis of brain waves plays a vital role in identification of various brain disorders. MATLAB provides an interactive graphic computer programme (GUI) permitting users to flexibly and interactively method their high-density encephalogram knowledge set and different brain signal data totally different techniques similar to freelance element analysis (ICA) and reconciling filter. We are going to be showing totally different brain signals by scrutiny, analysing and simulating datasets that is already loaded within the MATLAB package to method the encephalogram signals. Unfortunately, graph knowledge is usually contaminated by ocular artifacts that create the analysis of neural knowledge terribly troublesome. The main focus of this analysis is that the development of a unique technique which will mechanically notice and take away eyeblink artifacts so as to facilitate analysis of graph recordings. During this project, we have a tendency to compare the adaptive filter and freelance part Analysis techniques. For this project we have a tendency to used EEGLAB MATLAB tool chest. By victimisation this tool chest we have done the simulation of our project.

Contribution of Internet of Things: A Survey

S. Devipriya — 2016-10-30

Internet of Things plays an important role in our day to day life activities by engaging ourselves in implementing various technology Enabled embedded smart devices for our daily use. In this paper, we have discussed about the application uses of Iot along with other subject areas namely, Iot with cloud computing, big data, Internet of computer, data mining, embedded security, challenges in IOT-MD and Social impact of IOT. IOT together with subject area provides good enhancement by making things easier.

Resolving Vehicle Emissions in Cities by Maximum Spanning Tree Algorithm based on Internet of Things

Priya Y. Bhore — 2025-09-29

Air pollution is increasing day by day as the use of vehicles is demanding. In order to solve this complex problem, many countries and regions have already presented a series of emissions norms, some methods have been developed, include update motor engine or improve the quality of the gasoline. However, these actions have not brought great effect as we expect. There also are some things to fail implement these emissions standards. During this project, a wireless scrutiny and notification system (WINS) through the idea of web of Things (IoT) is planned. By victimisation the system, it is potential to swimmingly notice an inexperienced traffic network. During this system, Radio-frequency identification (RFID) technology as a cheap and mature wireless communication technique is adopted to gather and transmit emissions data of vehicles. The RFID devices have to be compelled to be put in on the traffic signals so reliable reading of emissions signals from a vehicle will be inspected once the vehicles stop ahead of the red light-weight. Taken into thought the important atmosphere, a good and innovative maximum spanning tree algorithm (MXAST) is additionally bestowed to pick appropriate traffic signals aim to scale back the amount of RFID devices and bonded the full urban cars is monitored (simple and safety).

Enhanced LSB Algorithm For Stegano Communication

Avi Kumar R — 2016-12-26

Steganography is outlined because the study of invisible communication that typically deals with the ways that of concealing the existence of the communicated message. Usually, information embedding is achieved in communication, image, text, voice or transmission content for copyright, military communication, authentication and plenty of alternative functions. In image Steganography, secret communication is achieved to infix a message into cowl image and generate a stego image. The goal of steganography is to cover the existence of the message from unauthorized party. The fashionable secure image steganography presents a task of transferring the embedded data to the destination while not being detected by the attacker. Several different image file formats will be used, however, digital pictures area unit the foremost widespread owing to their frequency on the web. Image steganography takes cover object as image. Generally, in this technique pixel intensities are used to hide the information. The concept of steganography known as ‘Enhanced LSB Algorithm’ is employed to hide an image in an image, which has negligent distortion as compared to the Least Significant Bit Algorithm.

A Big Data for Apache Cassandra

Anika Gupta — 2016-09-27

Apache prophetess may be a leading distributed info of alternative once it involves massive information management with zero period, linear quantifiability, and seamless multiple information center preparation. With progressively wider adoption of prophetess for on-line dealing process by many Web-scale firms, there is a growing would like for a rigorous and sensible information modeling approach that ensures sound and economical schema style. This work i) proposes the primary query-driven massive information modeling methodology for Apache prophetess, ii) defines vital information modeling principles, mapping rules, and mapping patterns to guide logical information modeling, iii) presents visual diagrams for prophetess logical and physical information models, and iv) demonstrates a informationmodeling tool that automates the whole data modeling method.