International Journal on Future Revolution in Computer Science & Communication Engineering
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An Efficient Method for Deep Web Crawler based on Accuracy
Get PDFAs deep web grows at a very fast pace, there has been increased interest in techniques that help efficiently locate deep-web interfaces. However, due to the large volume of web resources and the dynamic nature of deep web, achieving wide coverage and high efficiency is a challenging issue. We propose a three-stage framework, for efficient harvesting deep web interfaces.Project experimental results on a set of representative domains show the agility and accuracy of our proposed crawler framework, which efficiently retrieves deep-web interfaces from large-scale sites and achieves higher harvest rates than other crawlers using Na�ve Bayes algorithm. In this paper we have made a survey on how web crawler works and what are the methodologies available in existing system from different researchers
Character Recognition System using Radial Features
Get PDFExtraction of text from documented images finds application in maximum entries which are document related in offices. The most of the popular applications which we find in public or college libraries where the entries of number of books are done by manually typing the title of book along with other credentials like name of the author and other attributes. The complete process can be made effortless with the application of a suitable algorithm or application software which can be extract the documented part from the cover of book and other parts of the book thereby reducing the manual job like typing of user. Which reduces the overall job to only arranging the book title etc.by formatting the material
Performance Analysis of SUnSAL
Get PDFIn Remote Sensing (RS) cameras, used for earth observation, are generally mounted on satellite or on aero plane. Due to very high altitude of Hyperspectral Cameras (HSCs) the spatial resolution of images taken by such camera is very poor, in order of 4 m by 4m to 20m by 20m. So a single pixel from image taken by HSC may contain more than one materials and it is not possible to know about the materials present in single pixel. HSC measures the reflectance of object in the wavelength of range from 0.4 to 2.5um at 200 bands with spectral resolution of 10nm. High spectral resolution enables the accurate estimation of number of materials present in scene, known as endmembers, their spectral signature and fractional proportion within pixel, known as abundance map. This process is known as Hyperspectral Unmixing (HU). Due to large data size, environmental noise, endmember variability, not availability of pure endmembers HU is a challenging task. HU enables various application like an agricultural assessment, environmental monitoring, change detection, mineral exploitation, ground cover classification, target detection and surveillance. There are three approaches to solve this task: Geometrical, statistical and sparse regression. First two methods are Blind Source Separation (BSS) techniques. Third approach is based on sparsity and considered as semi-blind approach because it assumes the availability of spectral library. Spectral library contains the spectral signatures of various materials measured on the earth surface using advance Spectro radiometers. In sparse unmixing a mixed pixel is represented in the form of linear combination of a number of spectral signature known in advance and available in standard library. In this paper, mathematical steps for Spectral Unmixing using variable Splitting and Augmented Lagrangian (SUnSAL) are simplified. performance of SUnSAL is evaluated with the help of standard and publically available synthetic data base
Generate Analytics from a Product based Company Web Log
Get PDFThe next generation of industries will be using Big Data to remedy the unsolved data difficulties within the physical global. Big Data analysis may be about constructing systems around the data that is generated. Every department of an organisation consisting of advertising and marketing, finance and HR are actually getting direct get admission to to their own statistics. This is developing a huge activity opportunity and there may be an pressing requirement for the experts to master Big Data Hadoop abilities. Nowadays most of the groups have became to Ecommerce which has grow to be a vital element for business approach and a catalyst for economic improvement. These groups need to predict the evaluation approximately their services and products to tune their commercial enterprise from the customers end. The response from the customers based totally on their sports on the web sites makes a decision the future modifications required to enhance the commercial enterprise values. These companies stores the statistics of all clients in element for destiny analysis which is commonly referred as large statistics, as it's far developing at high costs every day. One of the main programs of large statistics intelligence is Clickstream data which is ideal for e-commerce websites and websites that rely upon clicks. Clickstreams are records of consumer interactions with web sites and other packages. A common technique to load those facts and processing is through the use of traditional databases, however it involves many complexities even as appearing different operations. Here in this paper clickstream records is processed, analysed with the structure of Hadoop the usage of Hortonworks Data Platform (HDP) which offers massive scale processing overall performance and visualized thru strength
Application of DTM Method for Solving Electrical Engineering Problems of Simple Electric Circuits
Get PDFIn this paper Chou�s Method (DTM) for solving initial valve problems involving first order ordinary differential quotations we introduce the concept of DTM & applied it to obtain solution of three examples for demonstration. The results are compare with exact solution & DTM solutions
Mobile Cloud Computing Concepts and Models: A Review
Get PDFCloud computing has gained a lot of intriguein these years from both industry and the scholarly world. As it might, the scale and significantly usefulproperties of cloud application arises critical lots of challenges in front of resource management and for thispowerful resource scheduling techniques are especially required.The proliferation of cloud computing resources in the present years offers a route for mobile phones with limited assets to achieve computationally serious undertakings dynamically.The mobile-cloudcomputing worldview, which includes coordinated effort amongst versatile and cloud assets, is relied upon to end up progressively prevalent in mobile application development.Along with the advancement of gadgets which are versatile in nature and handheld, the asset need of individual applications also growing. As it might, the performances of mobile phones are still constantly being identified with execution (e.g., count, accumulating and battery life), setting adaptation (e.g., irregular accessibility, flexibility and heterogeneity) and safety points of view and it always will be. A prominent solution to remove these impediments is the affirmed computation offloading, and this is the point of convergence of (MCC) mobile cloud computing. Mobile Ad-hoc execution confinement and difficulties may assume a noteworthy part in influencing the execution and development of cloud based administrations. In such manner, distinctive strategies and techniques will likewise be broke down and exemplified in the examination consider in order to guarantee the unwavering quality of cloud-based administrations' activities
Text Clustering and Classification Techniques using Data Mining
Get PDFText classification is the task of automatically sorting a set of documents into categories from a predefined set. Text Classification is a data mining technique used to predict group membership for data instances within a given dataset. It is used for classifying data into different classes by considering some constrains. Instead of traditional feature selection techniques used for text document classification. A Naive Bayesian model is easy to build, with no complicated iterative parameter estimation which makes it particularly useful for very large datasets. Automated Text categorization and class prediction is important for text categorization to reduce the feature size and to speed up the learning process of classifiers
Fake Currency Detection using Image Processing
Get PDFIn recent years, a lot of illegal counterfeiting rings manufacture and sell fake coins and at the same time fake note currency is printed as well, which have caused great loss and damage to the society. Thus it is imperative to be able to detect fake currency. We propose a new approach to detect fake Indian notes using their images. A currency image is represented in the dissimilarity space, which is a vector space constructed by comparing the image with a set of prototypes. Each dimension measures the dissimilarity between the image under consideration and a prototype. In order to obtain the dissimilarity between two images, the local key points on each image are detected and described. Based on the characteristics of the currency, the matched key points between the two images can be identified in an efficient manner. A post processing procedure is further proposed to remove mismatched key points. Due to the limited number of fake currency in real life, SVM is conducted for fake currency detection, so only genuine currency are needed to train the classifier
Comparative Analysis of ACSR and HTLS Conductor
Get PDFIn India, ACSR (Aluminum Conductor Steel Reinforced) and AAAC (All Aluminum Alloy Conductor) are most commonly used conductors for transmission lines. To transfer bulk power from long distance and to meet the increased load demand either we have to construct the new UHV or EHV transmission lines or to uprate the existing transmission line. Uprating of transmission lines i.e. modifications in the existing transmission line to enable the increased current flow limits. Making a new transmission lines also have few constraints: ROW constraints (Lack of availability of corridors for construction of new transmission lines due to High Population Density, Forest/ Ecology conservation) and Time constraints
A Review Paper on Security of Wireless Network
Get PDFIn the past few years, wireless networks, specifically those based on the IEEE 802.11 Standard, have experienced tremendous growth. A team at Rice University recovered the 802.11 Wired Equivalent Privacy 128-bit security key which is used by an active network. This Standard has increased the interest and attention of many researchers in recent years. The IEEE 802.11 is a family of standards, which defines and specifies the parts of the standard. This paper explains the survey on the latest development in how to secure an 802.11 wireless network by understanding its security protocols and mechanism. In order to fix security loopholes a public key authentication and key-establishment procedure has been proposed which fixes security loopholes in current standard. The public key cryptosystem is used to establish a session key securely between the client and Access point. Knowing how these mechanism and protocols works, including its weakness and vulnerabilities can be very helpful for planning, designing, implementing and/or hardening a much secure wireless network, effectively minimizing the impact of an attack. The methods used in current research are especially emphasized to analysis the technique of securing 802.11 standards. Finally, in this paper we pointed out some possible future directions of research