Spearman's rank relationship coefficient is a nonparametric (dispersion free) rank measurement. Spearman's coefficient is not a measure of the direct relationship between two factors, as a few analysts proclaim. Pearson's relationship coefficient is the covariance of the two factors separated by the result of their standard deviations. The possibility of the paper is to look at the estimations of Pearson's concrete compressive strength coefficient and Spearman's rank relationship coefficient and in addition their factual hugeness for various arrangements of information depicting provincial records of the financial advancement. In this, the Spearman correlation coefficient is based on the ranked values for each variable rather than the raw data. Spearman correlation is often used to evaluate relationships involving ordinal variables. The Pearson and Spearman's method is compared with the rank coefficient in the concrete compressive strength. © 2017 IEEE.

Chandra Segar T

Department of Digital Communications

School of Information Technology and Engineering

Vellore Campus

Swapna anupriya chandhini

Vaishnavi m

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)

Decision making is used for the selection oriented process. But can we use it in the field of healthcare is the biggest question. The answer is yes here also we can have with machine learning (ML) classifiers like Decision Tree (DT), random forest (RF), support vector machine (SVM), and neural network (NN). In the case of breast cancer (BC) disease, we can predict using machine learning classifiers. For this, original BC samples experiment. Our model named clustering based feature selection (CFS) intends to increase the accuracy and to reduce the feature dimension. We experiment the classifiers in three stages: 1. all features of BC, 2. DT based cluster, and 3. Feature selection. In all feature, RF achieves 99.10% accuracy, in DT based cluster RF, achieves 99.37% accuracy, and finally in cluster-based feature selection (CFS) with only four features the RF achieves 99.50% accuracy. The experimental results of our CFS approach along with DT, RF, SVM, and NN classifier along with its performance are presented. © 2019 IEEE.

2019 Innovations in Power and Advanced Computing Technologies (i-PACT)

Optimized machine learning model using Decision Tree for cancer prediction

This paper is carried on the heuristic prediction of rainfall using machine learning techniques. As we know agriculture was the predominant of our country and economy. While a regular rain pattern is usually played vital for healthy agriculture but too much rainfall or too little rainfall can be harmful, even it led to devastating of crops. This paper discusses the rate of rainfall in previous years according to various crops seasons like rabi, Kharif, zaid and predicts the rainfall in future seasons. The paper also measures the different categories of data by linear regression method in metrics for effective understanding of agriculture in India. We have selected a real dataset which consists of past year's rainfall rate according to various seasons. Results of this application help farmers to make a correct decision to harvest a particular crop accordingly to crops seasons. Linear regression helps to find. © 2017 IEEE.

2017 International Conference on Trends in Electronics and Informatics (ICEI)

Heuristic prediction of rainfall using machine learning techniques

In statistical analysis, we have a collection of data, with the use of these data, we have to do analysis based on our requirements. With the collection of data using Statistical analysis, we deal collection, analysis, presentation and organizing the data. With the help of statistical analysis, we can find underlying patterns, relationships, and trends between data samples. The R system for statistical computing is an environment for data analysis and graphics. Here we are going to implement boxplot method and control chart methods for sales analysis in a stationary shop dataset. With the help of boxplot, we can easily make relations between samples and we can find the outliers. © 2017 IEEE.

Data analysis using box and whisker plot for stationary shop analysis

Nature inspired algorithm

This paper is to predict the real-time data of aggregated maximum temperature (1.2 m above sea level) data from more than 350 stations spread over the country resulting in global warming. The time series we have taken from the year 1970 to 2011 shows a global warming over India during the recent years, with 5 attributes. © 2017 IEEE.

Analysis of global warming in India over maximum temperature using Pearson and machine learning

In the computing world, the digital transformation of data grows exponentially with every year. However, these situations are predominantly tackled by leading enterprises through by adopting a hybrid IT model. This model effectively supports the organization through strategic design to provide standard delivery to customers from independent multi-sourced entities. An experimental design method is applied using hybrid IT architecture with gene-based cryptomata (HITAGC) which is well suited to real-time cloud environments to store and retrieve the cloud space data efficiently. The CSC primarily relies on the service of CSP to keep their confidential data, and this system ultimately uses the PKC crypts. To address this security demand, we propose two different schemes such as HITAGC-PKC and hybrid HITAGC. The first model is designed to generate robust asymmetric keys for the Internet of Things, and the other hybrid HITAGC is for efficient sharing of big data over the cloud in a secure manner. The performance of these crypts is compared with the traditional systems like standard RSA, ESRKGS, SED2, EDCon, and AES. © 2018, Springer-Verlag London Ltd., part of Springer Nature.

Service Oriented Computing and Applications

Hybrid IT architecture by gene-based cryptomata (HITAGC) for lightweight security services

This paper mainly focuses on the design aspects of force balance measurement system for aerodynamic vehicle flying at hypersonic speed. When the speed of vehicle is hypersonic, additional aerodynamic heating creates difficulty in the system and needs change in the design geometry and material type .For the purpose of examining the model we have considered a simulation of blunt cone with following parameters like, length of the string, diameter of string, material of string, drag coefficient, pressure, velocity, density of air, Mach number, Reynolds’s number, stagnation enthalpy were suitably selected. CFD is used as a tool to calculate the drag force generated under the hypersonic conditions. A measurement system was developed for measuring the strain developed in the blunt cone when it is subjected to shock force. The measurement system was calibrated statically using hang weight and dynamically using impact load test performed on the string, from the calibration test impulse response function is calculated. And a fuzzy predication based approach was developed to predict the strain developed in the system.

Materials Today: Proceedings

One-Dimension Force Balance System for Hypersonic Vehicle an experimental and Fuzzy Prediction Approach

This work aims to study the relation between Precipitation and six of its various climatic factors. The analysis shows how much is the contribution of Reference Crop Evapotranspiration, Average Temperature, Wet Day frequency, Potential Evapotranspiration, Vapor Pressure and the Cloud Cover towards precipitation. For the purpose of finding the percentage of contribution by every parameter on Precipitation, we use a method called Analytical Hierarchical Processing. Basically, Analytical Hierarchical Processing is used for decision making. © 2017 IEEE.

2017 11th International Conference on Intelligent Systems and Control (ISCO)

An assessment framework for Precipitation decision making using AHP

Now-a-days, in the medical field, prescribing a medicine for a patient without mentioning its brand name is a tedious job. But it can be made possible, when both the parties (physician and pharmacist) are adapting well and standardized methodology. Our aim is to suggest an idea to make this process easy to understand and light to use. Based on the types of common diseases, the medicinal prescription lists can be categorized with relevant medicinal blocks. If a physician prescribes the medicine through this standardized predefined scheme, then the system will generate a unique number using Grace Code Cryptography and Linear RSA algorithms. The unique number will be given to the patient in the prescription sheet. Through this unique number, the pharmacist can get back the medical unit which is intended for a particular patient with the help of the same algorithms and using the standardized predefined scheme as it is a general template, and he delivers the medicine. So the patient will be given the prescribed medicine without specifying the brand name at any stage. © 2016 IEEE.

2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)

Physicians medicament using linear public key crypto system

In this paper, a new variant of RSA has been proposed whose key generation method is distinct with the standard RSA. Generally the RSA family of variants can be applied at the secured channel to enhance its data trust level on various applications such as E-commerce, Internet applications, etc., The boundary level of the private key has been recommended here, to raise over these variant to stay away from the possibility of getting the Small 'd' value either by continuous fraction method of Wiener's attack, or by Coppersmith's lattice based method of Boneh &amp; Durfee attack, or by retrieving the Euler's totient function value by Fermat factorization method. This paper discusses the proposal of Pell's RSA key generation and its security analyses over the standard RSA, N Prime RSA, Dual RSA. Finally the application of Pell's RSA, Blind signatures, are proposed. © 2013 IEEE.

Journal	Data powered by Typeset2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)
Publisher	Data powered by TypesetIEEE
Open Access	0