Indexing

Abstract: Joomla is a free and open source content management system (CMS) for publishing content on the World Wide Web and intranets and a Web application framework that can also be used separately. Joomla is written in PHP, uses object-oriented programming (OOP) techniques and software drawing pattern, supplies data in a MySQL database, and include features such as page caching, RSS feed, printable version of pages, information flashes, blogs, polls, investigate, and sustain for language internationalization.
A content management system (CMS) is a system providing a collection of procedures used to manage work flow in a two-way environment. These procedures can be physical or computer-based. Here a CMS, data can be defined as nearly anything: papers, movies, text, pictures, phone information, scientific data, and so forward. CMSs are frequently used for storing, calculating, revising, semantically elevating, and publishing documentation. Serving as a central storehouse, the CMS increases the version level of new updates to an already presented file. Version control is one of the primary advantages of a CMS.[1]

Abstract: De-Duplication improves Storage and bandwidth efficiency is incompatible with traditional encryption. In traditional model encryption requires different users to encrypt their own data with their own master key, thus identical data copies of different users will lead to different cipher texts, making de-duplication impossible. Each such copy can be defined based on different granularities: it may refer to either a whole file (i.e., file level deduplication), or data block (i.e., block-level deduplication). To applying deduplication to user data to save maintenance cost in cloud. Apart from normal encryption and decryption process we have proposed Master key concept with DeKey concept. For Encryption and Decryption we have used Triple Data Encryption Standard Algorithm where the plain text is encrypted triple times with the key so that the data is secure and reliable from hackers. We reduced the cost and time in uploading and downloading with storage space.

Abstract: Service recommender systems have been shown as valuable tools for providing appropriate recommendations to users. In the last decade, the amount of customers, services and online information has grown rapidly, yielding the big data analysis problem for service recommender systems. Consequently, traditional service recommender systems often suffer from scalability and inefficiency problems most of existing service recommender systems present the same ratings and rankings of services to different users without considering diverse users' preferences, and therefore fails to meet users' personalized requirements. In this paper, to address the above challenges and presenting a personalized service recommendation list and recommending the most appropriate services to the users effectively. Specifically, keywords are used to indicate users' preferences, and a user-based Collaborative filtering algorithm is adopted to generate appropriate recommendations.

Abstract: Maximum-flow problem are used to find Google spam sites, discover Face book communities, etc., on graphs from the Internet. Such graphs are now so large that they have outgrown conventional memory-resident algorithms. In this paper, we show how to effectively parallelize a maximum flow problem based on the Edmonds-Karp Algorithm (EKA) method on a cluster using the MapReduce framework. Our algorithm exploits the property that such graphs are small-world networks with low diameter and employs optimizations to improve the effectiveness of MapReduce and increase parallelism. We are able to compute maximum flow on a subset of the a large network graph with approximately more number of vertices and more number of edges using a cluster of 4 or 5 machines in reasonable time.

Title: Graphical Password Authentication Using Modified Persuasive Cued Click-Point
Author: Mohite Sandhya, Kare Rohini, Bhongale Pooja, Bhosale Priyanka, Prof. Parchure S.V.
International Journal of Recent Research in Mathematics Computer Science and Information Technology
ISSN 2350-1022
Paper Publications

Abstract: This paper presents a new face parts information analyzer, as a promising model for detecting faces and locating the facial features in images. The main objective is to build fully automated human facial measurements systems from images with complex backgrounds. Detection of facial features such as eye, nose, and mouth is an important step for many subsequent facial image analysis tasks. The main study of face detection is detect the portion of part and mention the circle or rectangular of the every portion of body. In this paper face detection is depend upon the face pattern which is match the face from the pattern reorganization. The study present a novel and simple model approach based on a mixture of techniques and algorithms in a shared pool based on viola jones object detection framework algorithm combined with geometric and symmetric information of the face parts from the image in a smart algorithm.

Abstract: In an online security, authentication plays a crucial role in shielding resources against unauthorized and illegal use of information. Authentication processes may differ from simple password based authentication system to complex, costly and computation strengthened authentication systems. In recent days, increasing security has always been an important issue since Internet and Web Development came into actuality. Text based password is not enough to counter such problems, which is also an obsolete approach now. Consequently, this demands the need for something more secure along with being more user-friendly. Therefore, we have strained to rise the security by involving a multiple level security tactic, involving Text based using Cryptography, Grid Authentication and Image Based Password. The cryptography technique is very essential for the text based password while encrypting it with the principle of substitution method like Caesar Cipher. Session passwords are also necessary for eliminating the time factor attacks such as Brute Force attack. Grid Authentication makes the system more dynamic due ever changing nature. Image based authentication makes the system more user friendly, reliable and secure.

Abstract: Privacy is one of the friction points that emerge when communications get mediated in Online Social Networks (OSNs). Different communities of computer science researchers have framed the ‘OSN privacy problem’ as one of surveillance, institutional or social privacy. In this article, first we provide an introduction to the surveillance and social privacy perspectives emphasizing the narratives that inform them, as well as their assumptions and goals. This paper mainly addresses   visitors events (population) on an users account and updates the account holders log information.  And thus the evolutionary aspects of Surveillance are reflected in User's Log, this needs the implementation of Genetic Algorithm. Further, this requires a bridge module between every interaction between the user and social network server. This paper implements mutation aspects through Genetic Algorithm by differing users into Guests and Friends, and identifies and Cross Over issues of a guest Clicking Friend of a friend.

Abstract: Computational models have played an important role in the discovery and understanding of the complexities during the learning process.  One complexity is the distraction factor on educator-learner interaction affecting the quality of the learning process.
We model an adaptive system model able to dynamically adapt considering user’s performance, simulating the learner as a museum user and the educator as an exhibition module using BDI agents; we adapt the BDI architecture using Type-2 fuzzy inference system to add perceptual human-like capability on agents in order to describe the interaction on user's experience.  The resulting model allows content adaptation by creating a personalized interaction environment.

Abstract: multi-agent systems and particularly bdi agents are mostly used in a wide range of projects, from agent-based simulations to air-traffic control. They all benefit from the autonomy and proactive behavior that provides agent-based architectures, as well as the characteristics of reasoning that are outlined by the bdi architecture. Thereforethe belief desire intention agent model and agentspeak language have becomea state-of-the-art and one of the challenging research subjects in the agent modeling and programming area.
In particular the bdi architecture is frequently used in the development of agents that try to simulate certainaspects of human behavior, and precisely perception and formulation of beliefs are two of the elements of bdiagents that require special attention in the development of such agents. Thiswork propose a way to extend the reasoning cycle algorithm on bdi agents, in a way that it allows to process inaccurate perceptions in the formulation of beliefs in such agents; it also shows an example implemented in agentspeak as well as the results of its execution within the jason interpreter.

Abstract: Every program whether in c, java or any other language consists of a set of commands which are based on the logic behind the program as well as the syntax of the language and does the task of either fetching or storing the data to the computer, now here comes the role of the word known as “data structure”.  In computer science, a data structure is a particular way of organizing data in a computer so that it can be used efficiently.  Data structures provide a means to manage large amounts of data efficiently, such as large databases and internet indexing services. Usually, efficient data structures are a key in designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Storing and retrieving can be carried out on data stored in both main memory and in secondary memory. Now as different data structures are having their different usage and benefits, hence selection of the same is a task of importance. “Therefore the paper consists of the basic terms and information regarding data structures in detail later on will be followed by the practical usage of different data structures   that will be helpful for the programmer for selection of a perfect data structure that would make the programme much more easy and flexible.

Abstract:In computer entertainment and video games users interact with machine controlled agents often referred to as Non-Player Characters (NPC). An NPC is generally intended as an antagonist for the user, but frequently helpful NPCs designed to aid the player are employed. These types of NPCs are referred to as companions. This paper presents a novel method for improving companion NPC by way of Language Acquisition through the use of Fuzzy Set theory in the form of Type-2 Fuzzy Grammar, which is an extension of the canonical Fuzzy Grammar by Lee and Zadeh. Type-2 Fuzzy Grammar captures the ambiguity of natural language and can easily model the level of expertise with said language. A case study is presented where humans participate in a multi player Predator-Prey pursuit game. The text messages that players exchange during the game are used to teach the language to a companion NPC so that it may directly interact with the players to test its communication capability. Results show how the companion NPC acquired language and its impact on the game.