International Journal on Future Revolution in Computer Science & Communication Engineering
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Estimation Of Target Movement In Wireless Sensor Network
Get PDFRecently, Wireless Sensor Network (WSN) used in wide range of applications such as target detection and tracking, military and in environment monitoring. Target tracking can be implemented by face (polygon) based algorithm. We had considered technique of face tracking. Face is defined by Region Of Interest (ROI) which consist target like human, animal etc. Moving target detected by Face. For Face tracking we used brink detection algorithm because it consumes less energy and detect target easily also tracks the target continuously. Optimal node selection algorithm is used to select an optimal node for tracking. When target is lost they indicate that target is in which region. This drawback is overcome by increasing the area of face. Along with tracking it solves the problem of missing node as and when node failure occurs. Simulation results which compared with existing work and show that Face Track obtains better tracking results and power competence
Detection of Hemorrhages and Microaneurysms for Color Fundus Images
Get PDFHere we address the detection of Hemorrhages and microaneurysms in color fundus images. In pre-Processing we separate red, green, blue color channel from the retinal images. The green channel will pass to the further process. The green color plane was used in the analysis since it shows the best contrast between the vessels and the background retina. Then we extract the GLCM(Gray Level Co-Occurance Matrix) feature. In the GLCMs, several statistics information are derived using the different formulas. These statistics provide information about the texture of an image. Such as Energy, Entropy, Dissimilarity, Contrast, Inverse difference , correlation Homogeneity, Auto correlation, Cluster Shade Cluster Prominence, Maximum probability, Sum of Squares will be calculated for texture image. After feature Extraction, we provide this feature to classifier. Finally it will predict about the retinal whether it is hemorrhages or microaneurysms . After predicting the about the retinal image we will localize the affected place. For segmenting the localized place we will use adaptive thresholding segmentation
Review paper On Modifed RSA for Cloud Computing MRSA -ENCRYPTION
Get PDFCloud computing is advance practical application for healthy communication over the internet. The internet supplies some layer of network facilities via which they pass on the above remote network. The cloud is virtual network hub where we store our confidential data and make it secure. The cloud gives some facilities one authenticate users can access our data. The cloud authentication service is an approach and authentication integrity with a hybrid cloud framework. The cloud authentication service enables your association to control how user�s access resources with centralized access along with authentication policies also can raise user productivity with single sign-on sso
A Review of Various Sentiment Analysis Techniques
Get PDFThis paper focuses on the utilization of sentiment analysis techniques in various application domains. Here we present major part of the research work done in the field of sentiment mining or opinion mining using the techniques and tools of sentiment analysis. We get a brief idea regarding the comparison of the techniques and the importance of the data set in acquiring the desired outcomes. This paper gives a comparison on the solutions presented in the research paper
A Review on Predictive Analysis for Diabetic Blood Glucose and Reductionof over fitting inDiabetes using Deep Learning Neural Network
Get PDFIn this research, a prediction system is developed for the illness of diabetes and dropout strategy is made use to minimize the issues of overfitting. The key idea is arbitrarily drop unit from neural network during preparing. Expectation of blood glucose levels Measured by continuous glucose observing gadgets, by utilizing clinical information. The certain rate of a patients in the data set take as a training data and test on the left-over portion of the patients, i.e., the machine need not re-calibrate on other patients in the data set
An Improved Wormhole Attack Detection and Prevention Method for Wireless Mesh Networks
Get PDFNetwork coding has been shown to be an effective approach to improve the wireless system performance. However, many security issues impede its wide deployment in practice.Besides the well-studied pollution attacks, there is another severe threat, that of wormhole attacks, which undermines the performance gain of network coding. Since the underlying characteristics of network coding systems are distinctly different from traditional wireless networks, the impact of wormhole attacks and countermeasures are generally unknown. In this paper, we quantify wormholes� devastating harmful impact on network coding system performance through experiments. We first propose a centralized algorithm to detect wormholes and show its correctness rigorously. For the distributed wireless network, we propose DAWN, a Distributed detection Algorithm against Wormhole in wireless Network coding systems, by exploring the change of the flow directions of the innovative packets caused by wormholes. We rigorously prove that DAWN guarantees a good lower bound of successful detection rate. We perform analysis on the resistance of DAWN against collusion attacks.We find that the robustness depends on the node density in the network, and prove a necessary condition to achieve collusion-resistance. DAWN does not rely on any location information, global synchronization assumptions or special hardware/middleware. It is only based on the local information that can be obtained from regular network coding protocols, and thus the overhead of our algorithms is tolerable. Extensive experimental results have verified the effectiveness and the efficiency of DAWN
IT Enabled Educational Technology For Leather Processing
Get PDFAdvances in information technology have made delivering e-content easier to subject experts and to publish on the web with minimum skills and assistance. This paper deals with the creation of e-Book (Digital Book). The term digital book means an electronic book (or e-book) is a book publication made available in digital form. Digital libraries are large organized collection of digitized objects comprising of texts, images, graphs. The text rich education e-Books can be enhanced the reader�s level of understands by adding them dynamic interactive visuals. In current trend, the e-Book can be read online or offline through smart phones without carrying the bulky p-Book (Paper Book). An e-Book is now capable to deliver not only text and images, but also audio and video viewed using Internet. This project mainly focuses on merging the interactive multimedia features like images, offline videos and even programmable features which have dynamic response based on the reader�s action in digital interactive e-Book. Then, it performs the scientific calculations and having Offline test features like Quizzes. The result of this paper is to develop a digitized ecosystem supported with activate and interactive contents in e-Books
Predictive Analysis of Facebook using WEKA
Get PDFWeb-based social networks have become more prevalent as a medium for connecting like-minded people. The public accessibility of such social networks with the capability to share information, thoughts, opinions, and experience offers great potential to mankind and organizations. Social network has gained amazing attention in the last decade. Accessing social network sites such as Facebook, Google+, Twitter and LinkedIn through the internet and the web 2.0 technologies has become more affordable. Facebook is social networking service on which after registering on the the site, users can create their profile, add other users as friends, interchange messages, post status updates, photos, and share videos etc. People are more interested in and relying on Facebook for information, news and opinion of other users on various subject matters. Based on the data available for the facebook, the number of profiles has increasing expressively but with the fast growth of users, fake profiles/users have also grown. The WEKA data mining tool was used by performing adjustments of the attributes in order to come up with a decisive output. This paper presents the comprehensive review of social network and the trustworthiness of social networks
Shadow Detection from VHR Images using Clustering and Classification
Get PDFThis project mainly focus to get the high resolution color remote sensing image, and also undertaken to remove the shaded region in the both urban and rural area. Some of the existing projects are involved to detect the shaded region and then eliminate that region, but it has some drawbacks. The detection of the edges will be affected mostly by the application of the external parameters. The edge detection process can be more helpful in the detection of the objects so that the objects can be used for further processing. In this process we have implement the Scale Space algorithm is used to detect the shadow region and extract the feature from the shadow region. Scale Space is simplest in region-base image segmentation methods. The concept of Scale Space algorithm is check the neighboring pixels of the initial seed points. Then determine whether those neighboring pixels are added to the seed points or not. In the Scale Space threshold algorithm Pixels are placed in the region based on their properties or the properties of the nearby pixel values. Then the pixel containing the similar properties is grouped together and then the large numbers of pixels are distributed throughout the image
A Survey on Fourier Transform (FT) and it�s Application in the Area of Mobile Phones
Get PDFElectronic assets are a fundamental piece of the arithmetic, software engineering, media transmission, and computerized reasoning accumulations of the Library of Congress. Comparative like other correspondence frameworks, at the less than desirable end the transmitted flag is demodulated to separate the data. Every one of these strategies depend on unadulterated science. While adjusting the data flag, a high recurrence sinusoidal bearer flag is utilized to transmit the message motion through a medium (link or air). It is then gotten and demodulated utilizing Fourier Transform examination. So to understand the correspondence innovation, the procedures of balance, demodulation and Fourier Transform should be investigated first. In this paper, I have examined how Fourier Transform is utilized as a part of cell phone networking.