International Journal on Future Revolution in Computer Science & Communication Engineering
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A Logarithmic and Exponentiation Based IP Traceback Scheme with Zero Logging and Storage Overhead
Get PDFIP spoofing is sending Internet Protocol (IP) packets with a forged source IP address to conceal the identity of the sender. A Denial-of-Service attack is an attempt to make a machine unavailable to the intended users. This attack employs IP Spoofing to flood the victim with overwhelming traffic, thus bringing it down. To prevent such attacks, it is essential to find out the real source of these attacks. IP Traceback is a technique for reliably determining the true origin of a packet. To traceback, a marking and a traceback algorithm are proposed here which use logarithmic and exponentiation respectively. The time required for marking and traceback has been evaluated and compared with state-of-art techniques. The percentage of increase in marking information is found to be very less in the proposed system. It is also demonstrated that the proposed system does not require logging at any of the intermediate routers thus leading to zero logging and storage overhead. The system also provides 100% traceback accuracy
An Expert System Based on Least Mean Square and Neural Network for Classification of Power System Disturbances
Get PDFThis paper proposes a new solution method for power quality (PQ) classification using least mean square (LMS) and neural network (NN). The proposed hybrid LMS-NN method comprises of LMS based effective feature extractor and PQ classifier based on a multi layer perceptron neural network (MLP-NN). First, the LMS method is employed to estimate the efficient features such as amplitude, slope, and harmonic indication from the measured voltage signals where the developed structure is merely simple. Further, the PQ classification is executed with the aid of MLP-NN. The different voltage signals analyzed for this research work are pure sine, sag, swell, outage, harmonics, sag with harmonics, and swell with harmonics. The performance and efficiency of the presented hybrid LMS-NN classifier is assessed by testing total 1400 voltage samples which are simulated based on PQ disturbance model. The rate of average correct classification is about 96.71 for the different PQ disturbance signals under noise conditions
Diabetic Retinopathy Exudate Detection
Get PDFThe Diabetic Retinopathy is major cause of vision loss now days.High sugar levels in blood can damage the blood vessels that feed the retina of the eye. It contains two types Non-proliferative andProliferative, which results in blurred vision at first and permanent vision loss later. Early detection of Diabetic Retinopathy is helpful to prevent vision loss. Manually detection is laborious process and takes great deal of time for analysis & diagnosis, also it includes chemical dilation which has negative side effects. Amongst all the symptoms like Microaneurysms(small swelling that forms in the walls of tiny blood vessels, which may break & allow blood to leak into nearby tissue.), Hemorrhages(internal bleeding), Exudates (lipid leaks & mark the existence of retinal oedema; known cause for the blindness) is most prevalent symptom, hence will go for detection of exudates
Personalized Search Engine: A Review
Get PDFNow a days there is A major problem in mobile search is that the interactions between the users and search engines are limited by the small form factors of the mobile devices. As a result, mobile users tend to submit shorter, hence, more ambiguous queries compared to their web search counterparts. In order to return highly relevant results to the users, mobile search engines must be able to profile the users� interests and personalize the search results according to the user�s profiles. A personalized mobile search engine (PMSE) that captures the users� preferences in the form of concepts by mining their click through data. Due to the importance of location information in mobile search, In this paper PMSE classifies these concepts into content concepts and location concepts To characterize the diversity of the concepts associated with a query and their relevance�s to the user�s need, four entropies are introduced to balance the weights between the content and location facets
A Review on Fake Currency Detection using Image Processing
Get PDFPaper currency identification is one of the image processing techniques i.e. clothed to recognize currency of different countries. The paper currencies of different countries are collectively rises ever more. However, the main intention of most of the standard currency recognition systems and machines is on recognizing fake currencies. The features are extracted by using image processing toolbox in MATLAB and preprocessed by reducing the data size in captured image. The expose pluck out is discharged by considering HSV (Hue Saturation Value). The chief is neural network classifier and the next step is recognition. MATLAB is used to evolve this program. The new source of paper currency recognition is pattern recognition. But for currency recognition, converter system is an image processing method which is used to identify currency and transfer it into the other currencies as the users need. The need of currency recognition and converters is accurately to recognize the currencies and transfer the currency immediately into the other currency. This application uses the computing energy in differentiation among different kinds of currencies are differentiated with their suitable class using power computing. Fake note at present plays a key topic for the researchers. The recognition system is composed of two parts. First is the captured image and the second is recognition. Forged currencies recognition is the main aim of the standard paper currency identification system. The most mandatory system is currency identification system and it should be very accurate. The performance of different methods are surveyed to refine the exactness of currency recognition system
A study on Moving Objects Recognization in DIP using thresholiding and other Methods
Get PDFThe digital image processing deals with developing a digital system to performs experiments and operations on a digital image with the use of computer algorithms. An image is nothing more than a 2D mathematical function f(x,y) where x and y are two horizontally and vertically co-ordinates. Object recognition is one of the most important applications of image processing. Vehicle location from a satellite picture or aeronautical picture is a standout amongst the most fascinating and testing research themes from recent years. Vehicle location from satellite picture is one of the utilizations of protest recognition. The activity and jam is expanding ordinary in everywhere throughout the world. Satellites pictures are typically utilized for climate anticipating and geological applications. In this way, Satellites pictures might be additionally useful for the recognizing activity utilizing Image preparing. This theory utilized straightforward morphological acknowledgment strategy for vehicle recognition utilizing picture preparing procedure in Matlab which is best technique for identification of autos, trucks and transports. We can without much of a stretch register the aggregate quantities of vehicles in the coveted zone in the satellite picture and vehicles are appeared under the jumping box as a little spots. Here we look at two calculations like pixel thresholding and Otsu thresholding technique. As indicated by our outcome Pixel level thresholding is superior to Otsu technique
Detection of Different Types of Fault and its Location in Transmission Line by using Negative Sequence Component
Get PDFIn recent years, voltage instability has been a major issue in power systems. There are many factors contributing to voltage collapse which might cause blackouts, such as demands of consumption growth, the influence of harmonic component and reactive power constraints. These factors are very difficult to predict in real environment. High-voltage transmission lines are an important part of the power system. As the operation of the power grid expands, the demands on long distance transmission lines will increase. These lines are often exposed to large diverse geographical areas with complex terrain and weather conditions. If a fault occurs in a transmission line, it can be very hard to find and report it. Even if the fault is fixed, the new steady state of the power systems needs to be monitored to avoid failure again. The paper aims at studying the technology which overcomes various limitations of the power system
Modelling for Improved Cyber Security in Smart Distribution System
Get PDFInformation technology is the backbone of the smart grid, where all networks like generation, transmission, distribution, and customer components are connected to each other. Connectivity between these components offers many advantages including consumer�s ability to manage their electricity consumption rates and electricity bills etc. Smart grid also provides operators great extent of system visibility and control over electricity services, supervision and control of generating units, power quality improvements and reduced fuel cost etc. Highly connected infrastructure in smart grid threats the reliable operation of grid, especially in terms of cyber security. In automated system, where control actions can be generated by a single command even from a great distance may lead complete shutdown of the whole system. Failure/disoperation of power service suspends all critical services. Therefore, the electrical grid becomes the most significant target for acts of vandalism and terrorism. So an extensive security against the cyber-attacks is required in smart grid environment as compare to traditional electricity grid, where almost all control actions were taken manually or with little use of local controllers. Therefore, with control atomization modulation of traditional energy supply system into a smart network requires a huge investment to develop security strategies as a safeguard for this critical infrastructure
Friction Stir Welding and Optimization of Its Parameters for Maximum Tensile Strength with Two Dissimilar Alloys
Get PDFIt is solid state welding process which is used in various applications in aerospace, marine, automotive industries. It is used for joining the various similar and dissimilar materials. Friction stir welding has better mechanical properties in comparison with other welding process in the zone. The present work focus to find the optimal combinations of parameters for maximum tensile strength of the weld joint of two dissimilar alloys of Aluminium i.e. Al 5052 and Al 5086. Rotational speed of tool, traverse speed of tool and tilt angle of tool are the important factors or parameters of interest. The present work aims to find out feasibility of process using the two dissimilar alloys i.e. aluminium 5052 and aluminium 5086 and to find out the tensile strength of using different combinations of parameters. A modified vertical milling machine has been used to setup the welding and a group of welding parameters. Various properties of welded joints were evaluated using various tests of mechanical includes the tensile testing. In the present work it is found that the tensile strength is majorly influenced by rotational speed of tool than tool tilt angle than tool traveling speed
An Contemplated Approach for Criminality Data using Mining Algorithm
Get PDFWe propose an approach for the arrangement and execution of bad behavior area and criminal recognizing confirmation for Indian urban groups using data mining frameworks. Our approach is parceled into six modules, to be particular�information extraction (DE), information preprocessing (DP), grouping, Google outline, characterization and WEKA� execution. To begin with module, DE expels the unstructured wrongdoing dataset from various wrongdoing Web sources, in the midst of the season of 2000� 2018. Second module, DP cleans, facilitates and diminishes the removed wrongdoing data into sorted out 5,038 wrongdoing events. We address these events using 35 predefined wrongdoing attributes. Secure measures are taken for the wrongdoing database accessibility. Rest four modules are useful for bad behavior acknowledgment, criminal recognizing evidence and desire, and bad behavior affirmation, independently. Wrongdoing acknowledgment is explored using k-suggests gathering, which iteratively makes two wrongdoing bundles that rely upon equivalent wrongdoing properties. Google portray observation to k-infers. Criminal conspicuous verification and estimate is dismembered using KNN portrayal. Bad behavior check of our results is done using WEKA�. WEKA� checks an exactness of 93.62 and 93.99 % in the course of action of two bad behavior clusters using picked bad behavior attributes. Our approach contributes in the change of the overall population by helping the looking at workplaces in bad behavior area and guilty parties' recognizing confirmation, and in this way decreasing the bad behavior rates. Wrongdoings are a social unsettling influence and cost the overall population to an awesome degree from various perspectives. Any examination that can help in separating and comprehending wrongdoing speedier pays for itself. Crime data mining has the capacity of extricating helpful data and concealed examples from the substantial wrongdoing informational indexes. The crime data mining challenges are getting to be fortifying open doors for the coming years. Since the writing of crime information mining has expanded energetically as of late, it winds up obligatory to build up a diagram of the cutting edge. This orderly survey centers around crime data mining procedures and innovations utilized as a part of past investigations. The current work is grouped into various classifications and is introduced utilizing perceptions. This paper additionally demonstrates a few difficulties identified with crime data research