Volume 1 Issue 3

An Adaptive Computer Algorithm Using Newly Developed Imbedded Interpolating Polynomials to Determine the Equations of Polynomials and Their Derivatives

  • Abstract-:The problem of generalization of certain principles and rules in Science, Engineering, Economics and all other disciplines dominates; particularly when these schemes are required to be expressed in mathematical functions or polynomial. The adaptive computer algorithm finds and displays the equations of polynomials of various degrees passing through given set of coordinate points: 𝑥 [ ],𝑦[ ]. The automatic Adaptive Algorithm interpolates and uses a newly developed imbedded family of polynomial, having coefficients of higher degree computable using the coefficients of lowers degree polynomials. Apart from determining the equations of polynomials in classical algebraic form, the adaptive computer algorithm implemented in C++, computes the equations of function passing through these points as well as the equations of differentiated polynomials for various orders. The user need to enter the point through which the polynomial passes, rest will be the responsibility of the adaptive algorithm. The Adaptive Algorithm converts the Data into Polynomial in the classicalalgebraic form and then proceeds to compute the desired derivate of first or higher order. The algorithm handles Equally Spaced Data as well as Unequally Spaced Data. The superiority of the proposed method is established as compared to other existing methods.

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Cognitive Experiments and Features for Computing Mental Stress

  • Abstract-:In this paper, mental stress is computed through cognitive experiments that induce stress. In a controlled laboratory environment, a group of students are involved in a series of mental challenges. While performing the cognitive tasks, stress is induced on the participants. Deep breathing exercise is performed in the start of experiments and then in between each activity to make the conditions normal and a participant feels relaxed. Various physiological features are recorded during experimental activities. Also, cerebral features are recorded that provide improved classification results. The severity of stress is different on each participant but the purpose of experimental protocol is to separate stressful conditions from relaxed environment. Support Vector machine (SVM) is used to identify relax or normal class from a number of stressed classes. It is shown that cerebral features improve the classification accuracy with a satisfactory margin and designed protocol system is able to compute the severity of induced stress.

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ARCPS - Anti-Redundant Cloud & Public Storage Moving towards Intelligent Cloud

  • Abstract-: Clouds are the future and powerful source in almost every aspect of computing. They offer many services running to facilitate users at same time. Cloud infrastructure is made up with a number of resourceful systems connected each other and to the internet. This paper is about (STaaS) Storage as a service but we are looking as a cloud storage provider, how to improve user experience and cloud storage efficiency by de-duplication of data. Cloud storage is unlimited but practically everything has a limit, so storage is also limited but the data storage demand is increasing with every next day. Everyone wants reliable and secure storage to store all of his data. Storage space is a need for everyone, and it’s mostly beneficial to those people who want a shared space or they want to share data online with others with minimal efforts. So, this paper describes a technique in which cloud providers can save a lot of storage space by eradicating duplication and this will be an automatic and runtime process. By monitoring and analyzing the semantics of data through different channels like DBpedia, WordNet etc. Data will be categorized accordingly and among these categories, checking of duplication performed and removed if found. Different file formats can have different techniques for processing.

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Performance Analysis of Hardware Protection & System Security in Different Operating Systems

A Spatial 3 X 3 Average Filter for De-Noising in Digital Images with the Help of Median Filter

  • Abstract-:-Digital image processing includes many factors like Image enhancement, segmentation, object recognition, removal of noise and many more. Noise removal is the one of the hot area of image processing. Noise can be minimized but cannot removed completely. Scientist and researchers has established many filters, which can minimize the noise in the image and enhance its quality. There are many types of noise and many types of filter for the removal of noise. Many types of noise are used. To remove these types of noise, 3 x 3 average filter is used in this paper and its efficiency is measured. The simulations are performed on the MATLAB.

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Infrastructure of DNS/DNSSEC

  • Abstract-:DNS Security Extension is introduced as a solution after the in-depth study of all expected issues regarding security of Domain Name System. Accordingly, DNS is domain name service provider via name server but it fails to facilitate the support for authenticity of data origin and integrity. In addition, DNS satirizing give stage to digital assaults, and can be used to watch client's exercises, for control, for conveyance of pernicious programming and to offend client's PC and even to subvert rightness and accessibility of internet systems and administrations. Therefore, it is fundamental to attract DNS framework to defeat security concerns, and to make cautious arrangement that should adapt to assaults through off way foes. So, we have broken down security of area enlistment centers and name server completely and we deal with vulnerabilities, which should open DNS foundation to store harming. In this paper, we gave the DNSSEC structure and showed how it is secure using DNSSEC.

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