Big Data Analytics in Bioinformatics Abstract— Tuberculosis is the ancient and global disease, which is found worldwide. TB is the infectious bacterial disease which affect both humans and animals due to growth of nodules in the tissues (mainly Lungs).Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs..The paper highlights […]
Analytical Research of TCP Variants in Terms of Maximum Throughput Abstract— This paper is comparative, throughput analysis, for the TCP variants as for New Reno, Westwood & High Speed, and it analyzesthe outcomes in simulated environment for NS -3 (version 3.25) simulator with reference to multiple varying network parameters that includes network simulation time, router bandwidth, varying traffic source counts to observe which is one […]
Implementation and Comparison between PSO and BAT Algorithms for Path Planning with Unknown Environment Abstract—The main challenges of robotics are its automation and detection capability. Robotic Path Planning is one of the main problems that deal with computation of a collision-free path for the given robot, along with the given map on which it operates. This paper focuses on Path planning and exploration problem in […]
CAPTCHA as Graphical Password: A Novel Approach to Enhance the Security in WWW Abstract—This research aims to study the existing password scheme and to design and develop a new improved graphical password scheme. A novel protection primitive is presented in view of strong AI problems namely a new family of graphical password scheme built up on top of captcha technology, which we call Captcha as […]
Abstract: – The term ‘Big Data’, refers to data sets whose size (volume), complexity (variability), and rate of growth (velocity) make them difficult to capture, manage, process or analyzed. Big data is a collection of large data sets that include different types such as structured, unstructured and semi-structured data. Hadoop is an open source software project that enables the distributed processing of large data sets […]
Opinion Mining using Machine Learning Abstract: Information contained in opinion can be either subjective or objective or both. Subjective form contains positive or negative opinions, while objective form contains the facts. Identifying the subjectivity and objectivity of information is the outcome of Opinion Mining and Sentiment Analysis. The result will be either positive or negative or a mix of both. Machine learning enables the computers […]
AWS IOT Platform based Remote Monitoring by using Raspberry Pi Abstract –To cater the needs of industry as well as society, it’s the proper time to deploy the IOT based technology to monitor different operations. Automation concept is coming in each and every sector to automate every operation. The leading technology partners such as Amazon, Microsoft & IBM have invented different IOT based platforms to […]
Big Data and Web: An Efficient Algorithm Design for DISC Abstract: – Data-intensive computing is a paradigm to address the data gap and a platform to allow the advancement in research to process massive amounts of data and implement such applications which previously analyzed to be impractical or infeasible.The existing one-pass analytics algorithm observed to be data-intensive and contrarily requires the ability to efficiently process […]
Performance Analysis of Hbase. Abstract— Hbase is a distributed column-oriented database built on top of HDFS. Hbase is the Hadoop application to use when you require real-time random access to very large datasets. Hbase is a scalable data store targeted at random read and writes access of fully structured data. It’s invented after Google’s big table and targeted to support large tables, on the order […]
Abstract: The most significant problem may be undesirable effects for the spectral signatures of fused images as well as the benefits of using fused images mostly compared to their source images were acquired at the same time by one sensor. They may or may not be suitable for the fusion of other images. It becomes therefore increasingly important to investigate techniques that allow multi-sensor, multi-date image fusion to make final conclusions can be drawn […]