A Wireless Sensor Network (WSN) consists of distributed autonomous sensors to monitor physical or various environmental conditions.Wireless sensor network is a rapidly growing area for research.Coverage without connectivity is meaningless in wireless networks.Coverage and connectivity is considered as a measure of quality of service (QoS).In most of the existing work, coverage and connectivity is not provided efficiently for heterogeneous WSN.The existing method used in heterogeneous WSN to attain coverage and connectivity is static.These existing methods are not applicable for the dynamic environment of heterogeneous WSN.Coverage is not made with constraints.Energy consumption should be concentrated to maximize the network lifetime.To provide coverage and connectivity for the heterogeneous WSN, Grouping the sensors into cluster by the strategy of Dynamic Cluster Formation criteria and to identifying the minimum active set to provide k-coverage.Maximize lifetime by weighted mean method.To propose a dynamic relative neighborhood method for reachability to provide strong connectivity.
The objective of this paper is to mainly focus on a trust aware model between the communicating sensor nodes and the base station.To perform efficient data aggregation in sensor networks, an improved cluster head selection has been proposed in this study.The algorithm employed for the study is based on Energy Efficient Dynamic Clustering (EEDC) incorporated adaptive Genetic Algorithm (AGA).The main aim of authentication based schemes is to confirm the authenticity of a node by validating its key information.The sinkhole attack in WSN occurs due to the drawing of the attention of all or almost all traffic from a particular domain by a compromised node.The compromised node is the one which looks attractive among all other surrounding nodes in terms of routing metric.The changes that have been occurring in the control fields imply the adversity of the nodes and can be detected by the BS using the proposed strategy.An improved ant colonization technique based secure routing protocol for path selection.To overcome the node failure and to increase the efficiency of the overall network, the proposed mechanism encompasses two paths for data forwarding.
Background: The main objective of this paper is to review the literature about Distributed Architecture in Health Insurance System. Health Axis System involves major factors for applying Asp.Net Web Applications, Different Authentication, Authorization and Framework Techniques, covered for Different Coding Techniques. Methods and Statistical Analysis: This Paper is explained about distributed architecture online health Insurance. Health Axis Information about all sort of medical services providing by the hospital to corporate companies, claim settlements & adjustments services authorized by insurance companies. Findings: Experiment is analyzed to Create Secured Frame Implement Secured Health Insurance System. The Experimental Program Code Result is given to proposed method. Conclusion: In This paper give the point by point review of different methods and Techniques with coding structures to create Secured Architecture inAsp.Net Web Applications.
One of the most wanted wireless networks is Mobile Ad hoc Network (MANET).MANET can configure easily without using any facility which one is available at present as an infrastructure oriented wired or wireless network.It is one of the infrastructures less network consist of mobile devices.Individually each and every device in the Mobile ad hoc network will act as a router as well as node which provide the flexibility in the physical topology, optimal routing and data communication.In this paper, A Security improved AODV (SIm AODV) routing protocol is proposed for Ad-hoc networks which typically suits to resolve the security issues like Link Failure, Black Hole Attack, and Malicious Node Intrusion Attack.The proposed SIm AODV algorithm is incorporated and evaluate with OMNetpp 4.3 simulation.
Theoretical In this paper the issue ought to be taking into account the completely homomorphic encryption to under lying nobility's system.In the current system quantity of time essential words ought to be utilized.It does not consider magic word recurrence.The main disadvantage of existing system is memoryless.To conquer this arrangement in the proposed work consider magic word recurrence in light of straightforward completely homomorphic encryption.The information can get to just by the client secretly.In this paper information ought to be semantically secure.
The Web services are applications that perform specific tasks and are accessible via the network through a communication protocol. QoS plays an important role in finding out the performance of web services. Multi-layer perceptron neural network (MLP) is the most popular and widely used nonlinear network for solving many practical problems in applied science, biology, and engineering. In this paper, hybrid Particle Swarm Optimization (PSO) with MLP is performed for medical web-service classification. MLP performance is based on initial weights setting. Conventional training algorithms like Back propagation (BPP) and LevenbergMarquardt (LM) have slow convergence and local minima problems. Results show that the proposed method performs better accuracy, average precision, average recall and RMSE.
Clustering techniques are often applied in data analytics for interpreting the similarities within data objects over large datasets. Despite the existence of many clustering algorithm in the literature such as connectivity, centroid, distribution, density etc, the factor that constitutes a cluster are different from one another. However, the success of clustering depends upon the maximization of intra-cluster similarity and inter-cluster dissimilarity. The significant implication of clustering algorithms in many real-world applications emerges the proposal of newer algorithms. As a consequence, in this paper, a novel effort is made to generate clusters from a different aspect of grouping data objects using multidimensional geographical linear equation called Equilin Clustering. The technique incorporates the standard linear equation and the method of percentage split for clustering numerical data. The results show that the performance of Equilin Clustering yields better cluster results with reduced complexity over time and number of iterations.
Innovation made mingling with people exceptionally basic and simple.Interfacing with people can be done with just a click of button today.The security of our own data and sharing that data in the advanced world has dependably been a noteworthy test for the always developing informal communities.Concerning the relationship in the midst of individuals and progression, the issue of trust is a factor of debate dependably.This paper endeavor to address this issue and study the situation when a client shares a photograph containing people other than himself or herself (termed co-photograph for short).To forestall conceivable protection spillage of a photograph, outline a component to empower every person in a photograph know about the posting action and partake in the photograph posting.For this reason, we require an effective facial acknowledgment (FR) framework that can perceive everybody in the photograph.Be that as it may, all the more requesting security setting may restrict the quantity of the photographs openly accessible to prepare the FR framework.To manage this issue, our component endeavors to use clients' private photographs to outline a customized FR framework particularly prepared to separate conceivable photograph co-proprietors without releasing their protection.We additionally build up a disseminated agreement based technique to diminish the computational multifaceted nature and secure the private preparing set.We demonstrate that our framework is better than other conceivable methodologies as far as acknowledgment proportion and productivity.Our component is actualized as a proof of idea Android application on Face book's stage.
Abstract— In this paper we prove that regular digraphs are Edge product Cordial and Total magic cordial. A digraph G is said to have edge product cordial labeling if there exists a mapping, f:E(G)→{0,1} and induced vertex labeling function f* :V(G)→{0,1} such that for any vertex vi V(G), f* (vi) is the product of the labels of outgoing edges provided the condition │v(0)v(1)│≤ 1and │e(0)e(1)│≤ 1 is hold where v(i) is the number of vertices of G having label i under f* and e(i) is the number of edges of G having label i under f for i = 0,1. A digraph G is said to have a total magic cordial labeling with constant C if there exists a mapping f : V(G) E(G)→{0,1} such that for any vertex vi, the sum of the labels of outgoing edges of vi, and the label of itself is a constant C (mod2) provided the condition │g(0)-g(1)│≤1 is hold where g(0) = v(0) + e(0) and g(1) = v(1) + e(1), where v(i),e(i): i {0,1}are the number of vertices and edges labeled with i respectively.
This study is an analysis of the various factors, other than the methodology used by teachers of tertiary level education, which challenge the effective teaching of technical writing.Experience of many teachers of Technical Writing, show that apart from the methodology followed in teaching, there are other factors that hinder the progress in imparting the writing skill in students.Some of them are the differences in psychology of the students, the constraints in technical institutions, an ineffective curriculum that needs to be suitably changed, and a high student population that adversely affects the student-teacher ratio.At times, it becomes inevitable for the teachers to compromise on pedagogical tools because of the constraints found in these aspects.The study facilitated the researcher in attaining an in-depth understanding of how writing can be taught successfully when teachers and students work hand-in-hand and also guided by an effective curriculum.This study also brought to light the changes that have to be hurriedly brought in by the administrators/educationists of the colleges, to make the environment conducive for the teaching of English Language and Technical Writing subjects.
Cloud security is one of the most important ongoing research, technology of the day to day life where the information stored in the cloud must be restricted to the unauthorized users and also it can be protected on the cloud server.In the existing Certificate less Public Key Encryption, it uses expensive pairing operations during each and every time, when a user wants to share the data in the public cloud.It is inefficient because it takes longer time to store and retrieve data in the public cloud.Hence, in this work it uses pairing free operations.The centralized public cloud used as both secure storage and also key generation centre.By considering the users public keys, the data administrator upload the sensitive information to the cloud.Finally authorized users decrypt the same encrypted information from the public cloud.This technique has greater performance and security than the earlier one.
Machine Learning captures the intrinsic characteristics of natural language, synonymy and polysemy.Investigations indicate that Similarity Measure is fundamental to a variety of tasks such as Clustering.and Classification.Much work has been done by researchers on document clustering with the use of semantic properties.In this paper, we develop a Probabilistic match similarity measure that naturally extends the recently proposed Web-based kernel function which are trained and tested to cluster the documents effectively.We consider two approaches to learning (similarity metric and preference ordering) and both achieved higher precision scores as compared to all other similarity measures.This method works well for Web tasks such as query/keyword matching and search query suggestion that rely heavily on the quality of similarity measures between short text segments.We show that the learned measures are efficient at a wide range of scales and achieve better results than existing similarity measures.
MANET plays a major role in next generation wireless networking technology.Information exchange in a mobile network without any infrastructure support, such networks are called Adhoc networks.This plays a major platform and used in important applications.A Mobile Adhoc Network is a mobile multihop wireless network, which is capable of autonomous operation.Because of the open medium and wide distribution of nodes make MANET harm to malicious attackers.It is crucial to develop efficient intrusion detection mechanisms to protect MANET from attacks.We present a various types of attacks in the network layer and Intrusion Detection mechanisms are used for protecting multihop MANET.To overcome the attacks, enhancing security method called Hybrid Cryptography and a comparison of various types of attacks with different IDs mechanisms is made.We classify, a single type of attack can be achieved by point detection algorithm (PDA) and range of attacks can be achieved by intrusion detection systems (IDs).Our survey is based on various types of attacks on multihop MANET and investigation of problems caused through malicious nodes by various types of Active and Passive group.
— Entrepreneurs play a major role in accelerating the pace of economic development with their innovative and creative approach to produce goods and services. This article examines whether students‟ perception on „risk taking propensity‟, „internal locus of control‟, attitude towards entrepreneurship, perceived barriers, perceived support and „entrepreneurial intent‟ vary based on the demographic variables. The analysis was done using student t-test and Anova. The data for this research paper was collected from students pursuing their final year in arts and science colleges in Chennai. The results of the research paper reveal that the Risk Taking Propensity and Attitude towards Entrepreneurship contribute significantly towards Entrepreneurial Intent. The research findings have implications for educators and policy makers.
Basically automation in systems would help reduce wastage of resources in various ways, one such way for the prevention of wastage of water resource to control the water tanks from overflow.In this automated world, the handling of any kind of devices with comfort is made to be the easiest factor everywhere. Considering this aspect of comfort zones and the prevention of wastage of resources, a design of an automated overflow control circuit unit was proposed in this paper.The proposal was designed on the perspective of controlling the flow of water into the tanks automatically, by setting the requirements as per the user needs using a Mobile Application in android.The connectivity of the circuit and the application is accomplished using Bluetooth device for handling the communication between the mobile and the overflow circuit.The entire system was tested in its operation and was scrutinized on the whole.
Mari Kumar B1, Dr. Latha P2, Praynlin E3 1,3Government College of Engineering, Tirunelveli, India 2 Department of Computer Science and Engineering, Anna University 1marikumar106@gmail.com, 2plathamuthuraj@gmail.com, 3praynlin25@gmail.com Abstract A feed forward back propagation neural network is most commonly used to the form of artificial neural network. This algorithm being a correct procedure, it accurate result in the neural network. The estimate of this method as the training of Neural Network is compared with that of genetic algorithm, that the form of based on estimate the software effort estimation. The comparison of two methods is used to accuracy of the software effort estimation.
This paper deals with an optimal inventory model for a deteriorating item with time dependent quadratic demand. When products are seasonal or when supplier provide price discounts for bulk orders, the retailer purchase more items and store it in their warehouses. There are two different types of warehouses. In one, the retailer owns the warehouse, and the other is rented. In this model the retailer first dispose the items in the rented warehouse and then the items present in the own warehouse because of economic reasons. Here permissible delay in payments is allowed. The model is solved analytically to minimize the total inventory cost. The result is illustrated with numerical example for the model.
The growth of the World Wide Web has led to a dramatic increase in accessible information.Today, people use Web for a large variety of activities including travel planning, comparison shopping, entertainment, and research.However, the tools available for collecting, organizing, and sharing Web content have not kept pace with the rapid growth in information.Today people continue to use bookmarks, email, and printers for managing Web content.Use of mobile phones has transformed the culture of communication with even villagers using sophisticated computer-related words like SMS and MBBS.But the major complexity arises when web documents in regional languages are displayed.Understanding the content of the document and later communication through oral or text means becomes difficult and this is the area the current paper addresses and in the process tries a generic concept-based mining model is proposed, for how the knowledge is created in the minds of illiterate user.The paper first presents how letters and words which form the basis of text-based communication can be used for content.The objective of this task is to achieve a concept-based term analysis on sentence and document levels rather than a single-term analysis in the document set only.
