International Journal on Future Revolution in Computer Science & Communication Engineering
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Machine Learning Promising Prediction in Feature Extraction
Get PDFThe world is crunching with high volumes data and high end technologies, instead our still news edition giving place to �cancer affected died for the cause of no recognition but not merely due to cancer�. This paper provides the identification, feature extraction of cancer on the board of machine learning. The achievement of prediction accuracy rate improvement through the defined algorithms namely, KNN, Fast KNN,GLM,SVM is done. Initial way of performing the cross fold validation and checking the fitted turn out of feature extraction is the major contribution with 569 object data set and 32 attribute value of breast cancer data. Secondly GLM-Net with Feature Extraction using KNN and comparisons with SVM classifier for feature extraction with KNN, and subsequently SVM Basic model with Radial function without feature extraction is achieved, Finally SVM Classifier with Radial Basis function on Breast Cancer Dataset and Regularized Linear Support Vector Machines with Class Weights through RFE done and concluded as Fast KNN and SVM are the most promising classifiers of Machine learning and futuristic data science classification evaluators
Framework for Automatic Checkpoint Generation
Get PDFWeb services provide services to their consumers in accordance with terms and conditions laid down in a document called as Service Level Agreement (SLA). Web services have to abide by these terms and conditions failing which, SLA faults result. Fault handling of web services is a key mechanism using which SLA faults can be avoided. We propose fault handling of choreographed web services using checkpointing and recovery. We propose checkpointing in three stages: design, deployment and dynamic checkpointing. In this paper we propose a framework for generation of checkpoint locations automatically in a given choreography document by applying design time checkpointing rules. We have also developed a tool to demonstrate that the proposed framework is indeed implementable
Analytics of IoT Streaming Data using Modified New Pattern Mining Algorithm
Get PDFIn the era of information technology, everything we are using in the everyday life is represented in form of information. Transportation, parking, traffic, pollution are some examples of hundreds of infrastructure systems with which we act every day. By using information technologies combined with communication, it becomes very easy to represent all details even the tiniest parts of these fields in forms of data. Furthermore, the Internet of things (IoT) plays a very important role in connecting physical objects with electronics, software, and sensors. Based on that, smart cites have been modeled and implemented in thousands place over all the world; In these cities, all smart systems in different fields like transportation networks, pollution,traffic,airlines, etc. are showed in form of numbers and strings of characters.This paper represents the problems occur in this type of methods with little bit solution of them by new modified algorithm
A Review on Computing Semantic Similarity of Concepts in Knowledge Graphs
Get PDFSemantic similarity is a metric defined over a set of documents or terms, where the idea of distance between them is based on the likeness of their meaning or semantic content as opposed to similarity which can be estimated regarding their syntactical representation (e.g. their string format). One of the drawbacks of conventional knowledge-based approaches (e.g. path or lch) in addressing such task is that the semantic similarity of any two concepts with the same path length is the same (uniform distance problem).To propose a weighted path length (wpath) method to combine both path length and IC in measuring the semantic similarity between concepts. The IC of two concepts� LCS is used to weight their shortest path length so that those concept pairs having same path length can have different semantic similarity score if they have different LCS
Revista ew on Brain Tumour Detection using Image Processing
Get PDFThe Automatic Support Intelligent System is used to detect Brain Tumor through the combination of neural network and fuzzy logic system. It helps in the diagnostic and aid in the treatment of the brain tumor. The detection of the Brain Tumor is a challenging problem, due to the structure of the Tumor cells in the brain. This project presents an analytical method that enhances the detection of brain tumor cells in its early stages and to analyze anatomical structures by training and classification of the samples in neural network system and tumor cell segmentation of the sample using fuzzy clustering algorithm. The artificial neural network will be used to train and classify the stage of Brain Tumor that would be benign, malignant or normal. The Fast discrete curvelet transformation is used to analysis texture of an image. In brain structure analysis, the tissues which are WM and GM are extracted. Probabilistic Neural Network with radial basis function is employed to implement an automated Brain Tumor classification. Decision making is performed in two stages: feature extraction using GLCM and the classification using PNN-RBF network. The segmentation is performed by fuzzy logic system and its result would be used as a base for early detection of Brain Tumor which would improves the chances of survival for the patient. The performance of this automated intelligent system evaluates in terms of training performance and classification accuracies to provide the precise and accurate results. The simulated result enhances and shows that classifier and segmentation algorithm provides better accuracy than previous methodologies
Detection of Anomalies in the Quality of Electricity Supply
Get PDFFrom the last two decades, power quality is getting much attention. Proper functioning of the equipment depends upon the quality of power supplied. Every year, demand of electric power goes on increasing and the power system network is expanding and becoming more complex. On account of thrust on clean power supply, use of renewable sources has dramatically increased in grid but it simultaneously causes power quality problems. In this work, power quality disturbance detection in wind farm integrated with grid is presented. For disturbance detection, time-time transform has been employed. The disturbance signal for the detection purpose is generated in MATLAB/Simulink environment by using a Simulink model
Analyzing User Behavior of Social Media
Get PDFIn recent time, analysis the user behavior from social media sites and applications plays a important role in current scenario. The users are people who are using social media sites and applications. To analyzing the behavior researcher deals with collecting data by opinions, identifying them. Classifying data according to the orientation of opinions and presenting their behavior from data. Analysis of behavior is an interesting job but it is also a very challenging procedure. Most of social media provides huge opinions on a particular product. The response/ opinions by user play a significant role in deciding the product�s future. These responses create positive or negative impact which plays a vital role in the field of e-commerce. It provides the useful result about product which have demands in the market or not, which is very useful for both customers as well as supplier of that product. In this paper researcher purposed some steps to analyze and express their views how social media data analyze market behavior for both company and customer
Enhancement of Imagery in Poor Visibility Condition by Using GUI
Get PDFOur focus in this work will be primarily in examples of enhancements in poor weather condition. GUI will be made in order for better user interference. These tools classify the overall brightness, contrast, and sharpness of an image based upon its regional statistics. Wavelet transform is the most exciting development in the last decade. The method focuses on wavelet-based image resolution enhancement and suitable for processing the image/video resolution enhancement. The Software tool used is MATLAB
Automated System for Detection of Apple Purity and Its Grading
Get PDFIt is always a common problem for all the people to identify the purity of all the fruits that has been purchased from the �fruit mandi� or local fruit stores. In this paper we would like to propose an idea for identifying the purity of apples. At present, among all the apples that are being sold in a shop, only few samples are collected and tested for purity in the laboratories by food Corporation of INDIA (FOI), which might not ensure that all the apples being sold in that respective shop/market are pure. In this paper we are proposing a device which can sense if the chosen apple is pure or not and which can be used by all the common people who are purchasing fruits from the market. Through this infections and disorders caused by fruits consumption can be eradicated to some extent
Technological Progression and Procedures in Microsoft Kinect Sensor
Get PDFKinect is a sensor technology capable of tracking any environmental phenomena by sensing it for identification. And it plays a unique and vital role in the study of identification as it recognizes every object using the sensor. However, Kinect sensors track and sense objects using their color and data with the enhancement of tracking various actions and postures. Improvisations are inhabited within the technology based on identity, digitalization, alpha channels, depth of color and sensors in Autism research. Major concepts of Kinect sensor and its enhancement features are surveyed in this paper