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.

Chandra Segar T

Department of Digital Communications

School of Information Technology and Engineering

Vellore Campus

Senthilkumar M

Department of Software and Systems Engineering

Vaishnavi B.

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

Physicians medicament using linear public key crypto system

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

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 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.

Journal	Data powered by Typeset2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)
Publisher	Data powered by TypesetIEEE
Open Access	0