MOBILE DATA COLLECTOR FOR SECURE TIME SYNCHRONIZATION IN CLUSTERED WIRELESS SENSOR NETWORK

Secure time synchronization is a key requirement for many sophisticated application running on these networks. Most of the existing secure time synchronization protocols incur high communication and storage costs and are subject to a few known security attacks. In wireless sensor network (WSN), lifetime of the network is determined by the amount of energy consumption by the nodes. To improve the lifetime of the network, nodes are organized into clusters, in which the cluster head (CH) collects and aggregates the data. A special node called mobile data collector (MDC) is used to collect the data from the CH and transfer it to the base station (BS) By using proposed method MDC authenticated to CH by computing shared secret keys on the fly. Once the MDC and CH are authenticated, all the sensor nodes in the cluster are synchronized, time synchronization reduce the communication and storage requirements of each CH. Security analysis of this proposed system shows that it is highly robust against different attacks namely compromised CH, reply attack, message manipulation attack as well as pulse delay attack

A STUDY ON WOMEN'S PREFERENCE TOWARDS TWO WHEELER BRANDS WITH SPECIAL REFERENCE TO CALICUT CITY

Women now drive the world economy. Women are the world's most influential consumers, and their impact on the economy is rising every year. Customer Perception remains a research topic of strong interest. By keeping in view that future non-refundable income of average household people will increase, so in future their demand and need both increases. The study was carried out to assess the amount of womens preference towards Two Wheeler Brands. The outcome of the study was based on 200 consumers selected from Calicut City of Kerala.. The data required for the study have been collected through questionnaires and analyzed by using statistical techniques as tools, such as Simple Percentage and Z test. The study pointed out that the women’s preference towards two wheeler brands

Recovering Images Based On Their Contents In A Distributed System

The use of peer-to-peer networking as an alternative has become more common in recent years as a means of facilitating the scalable movement of multimedia data. The process of carrying out content-based retrieval in peer-to-peer networks, which are characterized by the distribution of huge quantities of visual data across several nodes, is an important yet challenging topic. In this study, we offer a scalable strategy for content-based picture retrieval in peer-to-peer networks utilizing the bag-of-visual-words paradigm. This is in contrast to most of the previous approaches, which were focused on indexing high-dimensional visual characteristics and had limitations on their scalability. When images are scattered over the whole of the peer-to-peer network, the key challenge lies in efficiently getting a global codebook. This is not a problem in centralized setups because it is easier to access the codebook. A static codebook is less helpful for retrieval tasks in a peer-to-peer network because of the dynamic nature of the growth of the network itself. In order to accomplish this, we present a method for dynamically updating the codebook. This method works by distributing the workload evenly across the nodes that are responsible for handling different code words and optimizing the mutual information that exists between the generated codebook and the relevance information. In order to speed up the retrieval process and cut down on network overhead, researchers are investigating several methods for index trimming. The comprehensive experimental data that we have collected indicates that the method that has been recommended is scalable in dynamic and scattered peer-to-peer networks, all while improving retrieval accuracy

NATIVE AMERICAN PERSPECTIVE IN LINDA HOGAN'S MEAN SPIRIT

This Paper focuses on the Native American’s struggles and problems through their color and racial discrimination. Linda hogan, a native American and Ecofeminism, a renowned writer. Her novels fully based on the problems of Native Americans, particularly “Mean Spirit” she discussed in an elaborate way and Women also combined together nature and themselves with an effective way

Single Molecule Cluster Analysis dissects splicing pathway conformational dynamics

The spliceosome is the dynamic RNA-protein machine responsible for faithfully splicing introns from precursor messenger RNAs (pre-mRNAs). Many of the dynamic processes required for the proper assembly, catalytic activation, and disassembly of the spliceosome as it acts on its pre-mRNA substrate remain poorly understood, a challenge that persists for many biomolecular machines. Here, we developed a fluorescence-based Single Molecule Cluster Analysis (SiMCAn) tool to dissect the manifold conformational dynamics of a pre-mRNA through the splicing cycle. By clustering common dynamic behaviors derived from selectively blocked splicing reactions, SiMCAn was able to identify signature conformations and dynamic behaviors of multiple ATP-dependent intermediates. In addition, it identified a conformation adopted late in splicing by a 3′ splice site mutant, invoking a mechanism for substrate proofreading. SiMCAn presents a novel framework for interpreting complex single molecule behaviors that should prove widely useful for the comprehensive analysis of a plethora of dynamic cellular machines