International Journal on Future Revolution in Computer Science & Communication Engineering
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Detection of incorrect and inappropriateImagefrom Tweets in Social Network
Get PDFDigital imaging has grown to become the prevalent technology for creating, processing, and storing digital memory and proof. Though this technology brings many leverage, it can be used as a ambiguous tool for covering details and evidences. This is because today digital images can be tampered in such supremacy that forgery cannot be find visually. In fact, the immunity concern of digital content has arisen a long time ago and different methods to verify the efficiency of digital images have been developed. Digital images offer many features for forgery detection algorithm to take precedence of specifically the color and brightness of individual pixels as well as an image�s resolution and format. These properties grant for analysis and similarity between the significance of digital forgeries in an attempt to develop an algorithm for detecting image tampering. This paper presents a technique for image copy or move image forgery detection using Radix Sort, FasterK-means clustering algorithm & DCT
Integration of Various Infocommunication Technologies for Agricultural and Rural Development
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Text Mining Applied to Rail Accidents
Get PDFIndian Railway is the most popular way of transportation. So rail safety represents an important safety concern for transportation industry. In 6 years period between 2009-2010 and 2014-2015, there were a total of 803 accidents in Indian Railway killing 620 people and injuring 1855 people. 47% of these accidents were due to derailment of trains. To better understand the reason to these extreme accidents, Indian Railway has submitted reports that contain both fixed field and narratives that describe the characteristics of the accident. While a number of studies have looked at the fixed fields, none have done an extensive analysis of the narratives. It describes the use of text mining with a combination of techniques to automatically discover accident characteristics that can inform a better understanding of the contributors to the accidents. It will let the user know about of type of accident which can occur. The analysis can also be used for the safety improvement of Indian Railway
A Review of Ensemble Machine Learning Approach in Prediction of Diabetes Diseases
Get PDFData mining techniques improve efficiency and reliability in diabetes classification. Machine learning techniques are applied to predict medical dataset to safe human life. The large set of medical dataset is accessible in data warehousing which used in the real time application. Currently Diabetes Diseases (DD) is among the leading cause of death in the world. Data mining techniques are used to group and predict symptoms in medical dataset by different examiners. Data set from Pima Indian Diabetes Dataset (PIMA) were utilized to compare results with the results from other examiners. In this system, the most well known algorithms; K-Nearest Neighbor (KNN), Na�ve Bayes (NBs), Random Forest (RF) and J48 are used to construct an ensemble model. The experiment�s result reveals that an ensemble hybrid model increases the accuracy by combining individual techniques in to one. As a result, the model serves to be useful by doctors and Pathologist for the realistic health management of diabetes
Evaluation Model for IP Network Routing Decision based on PCA-ANN
Get PDFAs an act of moving information across an internetwork from one source to one destination, routing is vital for network activities. The IP (Internet protocol) network is the so-called �best-effort� communication network in which the best-effort delivery is provided for hosts. Accordingly, routing decision is closely related with a wide variety of network applications. This study presents one called PCA (�principal component analysis�)-ANN (�artificial neural networks�) evaluation model for routing decision. The PCA technology is used to reduce the dimension of the route measurement data to present the most effective structure of the route measurement data for the ANN to perform further evaluation. The proposed PCA-Based model is evaluated by experiments. Experimental results show its potentiality
Re-Encryption Scheme for Providing Data Security in Clouds
Get PDFCloud computing is the trendy topic all over the world. With increase in popularity of cloud computing, more and more enterprises will outsource their sensitive data for sharing in a cloud. Cloud computing allows the users to share the data among the members of cloud. One of the issue in cloud computing is data security. Here the problem is whenever a user is revoked from cloud the data owners will send re-encryption command to cloud in order to re-encrypt the data so that the data is prevented from revoked users. In this paper, we propose a time-based re-encryption scheme using blowfish algorithm. This scheme allows the cloud to automatically re-encrypt the data based on the internal clock, users can access data within given time period, after time period get over user cannot access data, this scheme also prevents the revoked users from decrypting the data using their old decryption keys
Internet of Things - Smart Surveillance System using PIR Sensor with Raspberry Pi
Get PDFThis paper describes our first research experience in Smart Surveillance System using PIR Sensor with Raspberry pi, by using open-source software tools such as Python, Raspbian OS and etc.Smart Surveillance System using PIR Sensor with Raspberry piemerged with the development of the Internet of Things. The basic concept of the application is to allow the client to uses wireless technology to provide essential security using Surveillance system. The proposed security system captures information and transmit it via a Wi-Fi to static IP, which is viewed using a web browser from any smart devices. Raspberry pi controls a video camera for surveillance. It streams live video and records the motion detected part in the cloud and/or in the window shared folder for future playback. The cameras automatically initiate recording when motion is sensed and Raspberry pi devices stores it in a secured folder
Design and Simulation of Photovoltaic System in Matlab using Simulink
Get PDFIn recent year the solar power energy is the economical and independent of power grid connected power supplies plays important role in developing country such as India ,Pakistan, Bangladesh etc. In developed country it is very useful because it is connected with power grid. But in developing country the government not supply power to the rural area through power grid. So in this case independent solar power is very useful. In this paper we design and simulate the photovoltaic system using matlab simulink. The step by step designing is explained and the output data is analysed. After analysis of the it is found that the solar power system is very useful and economical if we consider it for long time (about 20 year)
Survey of the Image Dehazing Using Colour Attenuation and Dark Channel Techniques
Get PDFFog is primaryreasonwhich degradesexternal images. Engenders toward the camera, a bit of the light meets these suspended particles. We analysed distinctive haze related highlights in a learning structure to recognize the best element mix for picture dehazing. Haze occurs due to suspended particles, like minerals, sand, also, microscopic fish that exist in waterways, seas, and lake. Reflected light via objects induces toward the camera, a touch of the light meets these suspended particles. We broke down unmistakable dimness related features in a learning structure to perceive the best component blend for picture dehazing. We also reviewed previous research done by experts and their proposed theories. Furthermore we studied the process of haze removal and few techniques used for dehazing
Study Various Types and Methods in Image Segmentation
No full textPartitioning of digital image into multiple segments referred as Image segmentation.The shading Image division is basic for picture preparing an example acknowledgment.This survey the segmentation techniques presently available. We discussed the image segmentation in detail including objectives, types and applications of image segmentation. We analysed diverse procedures like histogram thresholding, trademarks. Edge detection, region based methods etc. are also reviewed then review some major colour representation methods and their advantages disadvantages. Several previous research work was analysed in detail to get better view of image segmentation. Finally summarize the colour image segmentation techniques using different colour representations