Informatics Publishing Limited

Priyanka Jaiswal ¹, Niket Bhargava ², Rajesh Shukla ³, Manoj Shukla ⁴

Affiliations
1 Department of Computer Science & Engg., BIST, RGPV, Bhopal, IN
2 BIST, RGPV, Bhopal, IN
3 SIRT-e, RGPV, Bhopal, IN
4 SAMCET, RGPV, Bhopal, IN

Abstract

Collaborative filtering is a technique for reducing information overload and is achieved by predicting the applicability of items to users. In collaboration Filtering we use recommendation system because Recommender system applies knowledge discovery techniques to the problem of making personalized recommendation for information. Products or services during a live interaction. these system especially the k-nearest neighbor collaborative filtering based once, are achieving widespread success on the Web. In clustering algorithms, the applicability is predicted by the weighted sum model of ratings of k nearest items. This paper considers a new approach to user-item clustering in collaborative filtering algorithm using Markov Model for recommender systems. We use metrics like prediction strength, and after getting Matrix we apply Markov model for prediction which gives better prediction than weighted sum.

Keywords

Collaboration Filtering, K-Means, Markov Chain Model, Recommender Systems.

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Rajesh Shukla ¹

Affiliations
1 Durga College, Raipur (C.G.), IN

Abstract

Communication denotes a process that is both interactive and purposeful. The word communication is derived from the Latin "Communis" which means "to make common, to share, to impart, to transmit". Through communication people control on another's behavior and unite themselves in groups. Thus communication is a means for breaking down the barriers to human Interaction. It is a means for achieving mutual understanding.

Communication is a fundamental Per-requisite of all living beings. The development of human civilisation is directly dependent upon reflinement and growth of forms mechanisms and quality of the contents of communication sociologically it is possible to construct both processes and structure of culture and society through communicational contents and net works. The categorization of societies and cultures can be adequately undertaken through identification of farms and features of communication.

At the individual level communication is significant instrument of self expression and at group level it provides frame of shared cognitive and cathetic experience the institutional dimensions of communication reveal its divergent media which have significantly influenced the coverage, content and forms of communication in the wake of technological advancement the dimensions of indirect communication, audio-visual communication passive participation as spectators and universalization of information ensued, as a consequence of technological revolution in communication.

The Traditional instrumentalities of communication have been giving way to the new ones and traditional messages are being converged through contemporary and new channels of mass communication.

The quality of two cultures on based on traditional person to person communication and the other based on Technological instrumentalities are basically different. Theoretically communication has raised antological and epistemological questions of meaning of reality and processes of comprenending the reality. Communication encompasses the totality of one's being cognitive, cathetic and aesthetic, social cultural and transcedental individual, group and collectivity of power and suppression, of creativity and imitation of simplicity and complexity, of formalism and spontaneity, of survival and liberation. It has importance both for continuity and change in society. It significance in the process and programmes of development has been duly recognized. Long ago, meier (1956) suggested that communication involves the following categories (1) Face to face communication as in the family gossiping with neighbours, meeting, seminans and conferences (2) Reading newspaper, magazines, books bill boards, etc. (3) man machine in reading instruments, guages, drials, microscope, etc. (4) Person- person with machine interposed as in telephone, movies, radio, television, etc. and finaly (5) Machine machine as in feedbacks, interlcoks automation, etc.

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Rajesh Shukla ¹

Affiliations
1 Dept. of Sociology, Durga College, Raipur (C.G.), IN

Abstract

In order to awaken the people, It is the woman who has to be awakened. Once she is on the move, the household moves, the village moves and the country moves, and through the women, its children are Brought in to the picture and given the opportunity of a healtheir life and better training. Thus through the children of today we build the India tomorrow.

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Vikas Kumar Upadhyay ¹, Rajesh Shukla ²

Affiliations
1 Department of Computer Science and Engineering, Sagar Institute of Research and Technology, Bhopal-462001, IN
2 Department of Computer Science and Engineering, SIRT, Bhopal-462001, IN

Abstract

Now these day Mobile Ad hoc networks vulnerable from number of security threats like black hole attack, DOS attack, Byzantine attack and wormhole attack. Wormhole attack is one of most important attack and having great attention in recent year. Wormhole attack, demonstrate a illusion over the network that show two far away node to be an neighbor node and attracted all traffic by presenting an greediness of shortest path over the network. This paper presents a bird eye over different existing wormhole deduction mechanism and their problem.

Keywords

Mobile Ad hoc Network, Selfish Node, Malicious Node, AODV.

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Rajesh Shukla ¹, R. Sivakumar ¹, P. R. Vijayanand ¹, P. Kumar Nallasivan ¹, R. Venkatnarayanan ¹

Affiliations
1 Dept. of Pharmaceutical Analysis, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore, Tamilnadu, IN

Abstract

This work is concerned with application of simple, accurate, precise and highly selective reverse phase high performance liquid chromatographic (RP-HPLC) method for simultaneous estimation of Tramadol HCl and Paracetamol in combined dosage form. Chromatographic separation was achieved isocratically at room temperature on phenomenex C18 column (250×4.6 mm) with a mobile phase composed of 5% Tri-fluoroaceticacid in water:Acetonitrile:Methanol in the ratio of 70:20:10% v/v/v at flow rate of 1.0 ml/min. Detection is carried out using a UV detector at 254 nm. The retention time of Tramadol HCl and Paracetamol was found to be 3.890±0.5 min and 1.990±0.5 min respectively. The method was found to be linear in the range of 0.1-10 μg/ml with mean recovery of 98.96% for Tramadol HCl and 99.11% for Paracetamol. The correlation coefficients for all components are close to 1. The developed method was validated according to ICH guidelines and values of accuracy, precision and other statistical analysis were found to be in good accordance with the prescribed values. Thus the proposed method was successfully applied for simultaneous determination of Tramadol HCl and Paracetamol in routine analysis.

Keywords

Tramadol HCl, Paracetamol, RP-HPLC.

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N. A. Deepak ¹, Rajesh Shukla ², D. Puttegowda ¹

Affiliations
1 Department of Computer Science, Ghousia College of Engineering, Ramanagara-571511, IN
2 Corporate Institute of Technology, Bhopal, IN

Abstract

Independent Component Analysis (ICA) is the decomposition technique of a random vector of data into linear components which are “independent as possible.” Involves finding a suitable representation of multivariate data for computational and conceptual simplicity, the representation is often sought as a linear transformation of the original data. The linear transformation methods include Principal Component Analysis (PCA), Factor Analysis, and Projection Pursuit. Here attempt to transmit similar dimension multiple images as a single linear transformed image using Independent Component Analysis (ICA), Gaussian noise is added into linearly transformed image. We try to retrieve the original images one by one from noisy transformed image. The analysis is made by varying noise variance against peak signal to noise ratio (PSNR) with the original image. Our demonstrated work is highly useful in reducing bandwidth over the channel.

Keywords

Gaussian Noise, Independent Component Analysis (ICA), Principal Component Analysis (PCA), Peak Signal to Noise Ration (PSNR), Random Vector.

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