International Journal on Future Revolution in Computer Science & Communication Engineering
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Tools Used in Big Data Analytics
Get PDFBig data is the current state of the art topic creating its unique place in the research and industry minds to look into depth of topic to get valuable results needed to meet the future data mining and analysis needs. Big data refers to enormous amounts of unstructured data created as a result of high performance applications ranging from scientific to social networks, from e-government to medical information system and so on. So, there also prevails the need of to analyze the data to get valuable data results from it. This paper deals with analytic emphasis on big data and what are the different tools used for big data analysis In this paper, different sections through an overlook on different aspects on big data such as big data analysis, big data storage techniques and tools used for big data analysis
Personalization of Search Engine by Using Cache based Approach
Get PDFAs profound web develops at a quick pace, there has been expanded enthusiasm for strategies that assistance effectively find profound web interfaces. Be that as it may, because of the extensive volume of web assets and the dynamic idea of profound web, accomplishing wide scope and high productivity is a testing issue. In this venture propose a three-organize structure, for productive reaping profound web interfaces. In the principal organize, web crawler performs website based hunting down focus pages with the assistance of web indexes, abstaining from going to countless. To accomplish more precise outcomes for an engaged creep, Web Crawler positions sites to organize exceedingly pertinent ones for a given theme. In the second stage the proposed framework opens the pages inside in application with the assistance of Jsoup API and preprocess it. At that point it plays out the word include of inquiry website pages. In the third stage the proposed framework performs recurrence examination in view of TF and IDF. It additionally utilizes a mix of TF*IDF for positioning website pages. To wipe out inclination on going to some very applicable connections in shrouded web registries, In this undertaking propose plan a connection tree information structure to accomplish more extensive scope for a site. Undertaking trial comes about on an arrangement of delegate areas demonstrate the nimbleness and precision of our proposed crawler structure, which productively recovers profound web interfaces from extensive scale locales and accomplishes higher reap rates than different crawlers utilizing Na�ve Bayes algorithms
A Survey on Mining Top-k Competitors from Large Unstructured Dataset Using k_means Clustering Algorithm and Sentiment Analysis Approach
Get PDFAlong line of research has shown the vital significance of recognizing and observing company�s contestants. In the framework of this activity various questions are emerge like: In what way we formalize and measure the competitiveness between two items? Who are the most important competitors of a specified item? What are the various features of an item that act on competitiveness? Inspired by this issue, the advertising and administration group have concentrated on observational strategies for competitor distinguishing proof and in addition on techniques for examining known contenders. Surviving examination on the previous has concentrated on mining near articulations (e.g.one product is superior then other product) from the web or other documentary sources. Despite the fact that such articulations can without a doubt be indications of strength, they are truant in numerous spaces. By surveying the various papers, we found the conclusion of basic significance of the competitiveness between two items on the basis of market segments
Detecting Plagiarism In Academics Using Levenshtein Distance Algorithm And Semantic Similarity
Get PDFAs the age of internet is growing the information is available to everyone at the click of their hand. So due to this copping of information and data have also increased at academic level. As it might be time consuming and complex work this can be made easy with some good algorithm, method and technique. In this paper we have use Levenshtein distance algorithm to detect the similarity or plagiarism between the student researches. We have also implemented other method and technique to find out the plagiarism. The main aim of the project to provide the high end but very simple software at the academic level. This can make student to do their own research and publish it rather than copping other work
Counterfeit Currency Detection System
Get PDFThe elevation of color printing technology has increased the rate of fake currency note printing on a very large scale. Years before, the printing could be done in a print house, but now anyone can print a currency note with maximum accuracy using a simple laser printer. This results the issue of fake notes instead of the genuine ones has been increased very largely. India has been unfortunately damned with the problems like corruption and black money .The counterfeit of currency notes is also a big problem to it. This problem leads to design of a system that detects the fake currency note in a less time and in a more efficient manner. The proposed system gives an approach to verify the genuineness of Indian currency. Verification of currency note is done by the concepts of image processing. The above article describes extraction of various features of Indian currency notes. MATLAB software is used to extract the features of the note. The proposed system has got advantages like simplicity, high performance speed, portability. The result will predict whether the currency is counterfeit
Virtual Shopping Using Image Processing AND Augmented Reality
Get PDFAfter studying the fact of emerging advancement in the e-commerce sector we come with an idea of developing project based on the combination of virtual reality and augmentation. To create a web and mobile based platform for end user which will give them a new shopping experience. We are making a web based e-commerce platform where consumer can interact with product such as shoes or clothes at their home place. This will not going required any costly sensor just they have to use their computer and web-cam/ Kinect to interact with the website 3D portal.Our Project will be useful for day to day user to have interaction with the product or services they buy from e-commerce market place prior to actually buying product. They can choose from different product or services they like. And this will be beneficial to manufacturer also to analysis there market plans and production
Biometric Security System for Newborn Baby
Get PDFNewborn swapping and abduction in hospitals are challenging issues which occurs all over the world. Traditional method to combat this problem have their own drawbacks, here areal time solution is provided by proposed modal havRfive modules on raspberry Pi. Implemented module consisting of one camera for providing real time security against culprit who lifts the baby from cradle. Additionally a temperature sensor is used which gives the continuous updates about the baby�s health to medical staff and parents. The results of implemented modules shows that we can get the real time alert about culprit which will be easy to find out person who lifts the baby from cradle and also continuous data of temperature of baby�s body of providing time to time attention towards health. Proposed system has modules for scanning and matching of footprints of baby and hand impression of mother which provide a low cost solution to the newborn swapping rather than the expensive DNA procedures
Better Result in Packet Loss and Saving Energy in Ad-Hoc Network by using Improved MAC Protocol
Get PDFAn Ad-Hoc network is a wireless, decentralized, dynamic network in which devices associate with each other in their link range, in which the basic 802.11 MAC protocol uses the Distributed Coordination Function (DCF) to share the media between various devices. But use of 802.11 MAC protocol in Ad-Hoc networks affected by different issues such as restricted power capacity, packet loss because of transmission error, various control traffic and failure to avoid packet collision. To solve these problems various protocols have been proposed. But we don�t have any perfect protocol which can resolve the issues related to power management, packet collision and packet loss efficiently. In this research paper, we suggest a new protocol to adjust the upper & lower bounds for the contention window to decrease the number of collisions. As well as it proposes a power control scheme, triggered by the MAC layer to reduce the packet loss, energy wastage and decrease the number of collisions during transmission. The proposed MAC protocol is implemented and performance is compared with existing 802.11 MAC protocol. We computed the Packet Delivery Fraction(PDF), average End-to-End(e-e) delay, average throughput and packet loss in several conditions. We find proposed protocol is comparatively improved than the existing protocol
Dispersion Compensation and Power Optimization using Multi Stage SOA in Association with DCF and FBG
Get PDFNow a day�s optical communication is a popular technique to transmit the data. In daily life we share our useful data by using optical network. We face a common problem that is dispersion and power. Dispersion Compensating Fiber (DCF) and Fiber Bragg Grating (FBG) are widely used dispersion compensation techniques for optical communication systems. In proposed work we have Fiber optic frameworks are of the basis to advanced correspondence systems. The high transfer speed and information rates given by fiber optics can genuinely be used by work of WDM (wavelength division multiplexing) procedures. The WDM framework can take into account a superfluity of incorporated broadband administrations consolidating voice, information, video, mixed media administrations and VAS (Value Added Services). WDM framework long broadly utilized as a part of huge separation lines experiences issues, for example, a scattering and weakening which comes about corrupted framework execution. Scattering remuneration and optical power enhancement are basic parameters in WDM frameworks. This work is about the use of multistage SOA (Semiconductor optical Amplifier) framework to increase control and reduce scattering and accomplish higher SNR (Signal Noise Ratio) .It is additionally basic that by position of EDFA pre and post FBG, consider a request of greatness increment in SNR and accomplish Phenomenal DC (Dispersion Compensation) in WDM frameworks
Web Application for Consultant Services
Get PDFThe emergence of internet has changed the system from the circulation of data that has shifted us from a world of paper documents to a world of online documents and databases systems.Consultancy services provide options for multiple different domains to be covered under one place. To be exact multiple services are provided under one company that acts as consultancy. Data mining plays an important role in many decision making application and research domains. Predictions of a things based on data available is one of the important features of data mining. Loan and insurance recommendation system is one of data mining and machine learning application where the system needs to recommend the banks that can provide loan to users and at the same time provide users with insurance providing companies that can provide proper scheme to users. We will use K-NN based approach for providing users with such recommendations. The K-NN algorithm performs analysis on that data. Based on the result of analysis, description of suitable financial services and insurance services will be displayed to the user.Finally it guides the user so that they can register themselves for those insurance policies which they find suitable