Global Journal of Computer Science and Technology (GJCST)
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Energy Utilization of TCP in adhoc Networks
Get PDFIn this paper we have a tendency to study the energy value protocol process and communication cost and good output of different various of TCP Transmission management Protocol in unintended networks We enforced a tested and measured the particular energy cost furthermore as good output of running communications protocol urban center Newreno SACK Selective Acknowledgement we see energy savings between 20 and 500 depending on the network conditions actio
An Effecient Misbehaving Node Detection Algorithm in Manet
Get PDFManet is a collection of self-organizing mobile nodes participating in the network to forward packets for each other However some nodes in the network do not forward packets in order to save their energy But these nodes make use of other nodes to forward their packets Such unfair use of the network leads to degradation of its performance So it is very important to detect such misbehaving nodes in the network So in order to improve network performance we propose a scheme that is a combination of overhearing and acknowledgement based method to detect misbehaving nodes The scheme is proposed to be built on top of DSR routing protoco
Big Data Analysis: Apache Spark Perspective
No full textBig Data have gained enormous attention in recent years. Analyzing big data is very common requirement today and such requirements become nightmare when analyzing of bulk data source such as twitter twits are done, it is really a big challenge to analyze the bulk amount of twits to get relevance and different patterns of information on timely manner. This paper will explore the concept of Big Data Analysis and recognize some meaningful information from some sample big data source, such as Twitter twits, using one of industries emerging tool, known as Spark by Apache
Enhanced Image Fusion Technique for Segmentation of Tumor using Fuzzy
Get PDFThis paper presents the MRI brain diagnosis support system for structure segmentation and its analysis using spatial fuzzy clustering algorithm. The method is proposed to segment normal tissues such as white Matter, Gray Matter, Cerebrospinal Fluid and abnormal tissue like tumor part from MR images automatically. These MR brain images are often corrupted with Intensity Inhomogeneity artifacts cause unwanted intensity variation due to non- uniformity in RF coils and noise due to thermal vibrations of electrons and ions and movement of objects during acquisition which may affect the performance of image processing techniques used for brain image analysis
Automated Traffic Control System for Emergency Services
Get PDFThis project aims at creating an effective automated traffic control system to prevent ambulances/emergency service vehicles from getting caught up in traffic, there by decreasing hindrances to vital services both in regular and critical situations. The system is implemented by using the Zig Bee wireless communication protocol for wireless communication, IR speed sensors, GPS technology, secure protocols and analytics to create a smart, secure, energy efficient and a cost-effective solution thus making it a practical solution
Power Aware Routing Protocol for MANETs Based on Swarm Algorithm
Get PDFCreating any standard protocol having 2 or more QoS limitations might be described as an NP-complete. Swarm technology is used to solve such problem. Even so, to fix difficult problems using swarm algorithms, how many iterations essential is going to be proportional for you to problem complexity. In this a standard protocol is presented depending on hybrid swarm algorithm standard protocol. This protocol has higher bundle overheads which more often than not bring about devouring higher battery power. In the present work to reduce the higher battery power , power aware routing protocol is developed based on Swarm algorithm
Statistical Analysis of Fractal Image Coding and Fixed Size Partitioning Scheme
Get PDFFractal Image Compression (FIC) is a state of the art technique used for high compression ratio. But it lacks behind in its encoding time requirements. In this method an image is divided into non-overlapping range blocks and overlapping domain blocks. The total number of domain blocks is larger than the range blocks. Similarly the sizes of the domain blocks are twice larger than the range blocks. Together all domain blocks creates a domain pool. A range block is compared with all possible domains block for similarity measure. So the domain is decimated for a proper domainrange comparison. In this paper a novel domain pool decimation and reduction technique has been developed which uses the median as a measure of the central tendency instead of the mean (or average) of the domain pixel values. However this process is very time consuming
A New Approach for Improving Computer Inspections by using Fuzzy Methods for Forensic Data Analysis
Get PDFNow a day2019;s digital world data in computers has great significance and this data is extremely critical in perspective for upcoming position and learn irrespective of different fields. Therefore we the assessment of such data is vital and imperative task. Computer forensic analysis a lot of data there in the digital campaign is study to extract data and computers consist of hundreds of thousands of files which surround shapeless text or data here clustering algorithms is of plays a great interest. Clustering helps to develop analysis of documents under deliberation. This document clustering analysis is extremely useful to analyze the data from seized devices like computers, laptops, hard disks and tablets etc. There are total six algorithms used for clustering of documents like K-means, K-medoids, single link, complete link, Average Link and CSPA. These six algorithms are used to cluster the digital documents. Existing document clustering algorithms are operated in single document at a time. In the proposed approach of these working algorithm applied on multiple documents at a time. Now we using clustering technique named as agglomerative hierarchical clustering which gives better finer clusters compared to existing techniques
Designing Intelligent Technology Applications using the Visual Basic Files
Get PDFThis paper proposes an overview of the approach to design management computer applications using advanced programming languages and having the Visual Basic demonstration as support, which is one of the most popular object-oriented programming languages, in the area of programmer training. After a brief introduction to the Visual Basic syntax instructions for working with files, the description of how to build applications out of school activities for students - application that is set up as an illustration of features offered by the Visual Basic in working with collections of independent data - the files
Smart Acknowledgement Distributed Channel Access Scheme for TCP in MANETs
Get PDFTCP upon wireless networks is most challenging issue because of random losses and ACK interference. Also, TCP suffers from performance declination in terms of creating delay and overhead in network because of poor characteristics of wireless channel. In order to overcome these issues, we proposed a Smart Acknowledgement Distributed Channel Access (SADCA) scheme for TCP in MANETs. In the proposed scheme, first a separate Access Category (AC) for data less TCP acknowledgement packets is used and then it is assigned with highest priority. In this way, delay during transmission of packet can be reduced and also packet can be acknowledged immediately. Also, to increase the performance, delay window size can be adjusted by considering the parameters such as transmission rate, number of hops, and channel occupied ratio (COR). Hence the proposed scheme helps to avoid any kind of delay and overhead for sending TCP acknowledgemen