Journal Description

Journal history ( Since 2011 serving researcher's)

Ausjournal serves to disseminate to the public results of current and on-going works in various areas of computer sciences and engineering. It had taken initiative in August 2012 to setup editorial board and published its first inaugural edition in February 2012, and regularly publishing yearly issues. It has completed 7 years of service for upcoming researchers.

Vol 1 No 1 (2019): Future Trends in Engineering, Science and Technology 2019

This issue deals with future trends in computer sciences and engineering and more precisely with neural networks, cryptography, real time systems,block chain, data mining and Internet of Things

Published: Feb 7, 2019

Implementation of Digital Signature Algorithm by using Elliptical Curve p-192

1-4
Darshana Pritam Shah, Namita Pritam Shah
Read Statistic: 660

Exploratory Analysis of Block Chain Security Vulnerabilities

5-10
Pavan Manjunath, Pritam Gajkumar Shah
Read Statistic: 657

Solution of m – inputs and n-outputs control systems synthesis problem using the Lyapunov gradient speed vector function

11-14
Zh.О Basheyeva, М.А Beisenbi
Read Statistic: 281

A Survey on Real Time Database

12-15
Krishna Shah, Devansh Jani
Read Statistic: 302

Advanced data analysis and data mining model for Internet of Things in smart city: A Survey

16-23
Seema S, Sushma B
Read Statistic: 290

Cascading of RBFN, PNN and SVM for Improved Type-2 Diabetes Prediction Accuracy

24-27
Krishna Swaroop, Ramalingaswamy Cheruku, Damoder Reddy Edla
Read Statistic: 288

A Survey: Prospects of Internet of Things (IoT) Using Cryptography Based on its Subsequent Challenges

28-30
Dhruvi Mewada, Nidhi Dave, Prof.Rohan Kumar Prajapati
Read Statistic: 353

Machine to Machine Metamorphosis to the IOT

31-34
Pavan Manjunathmin, Dr. Pritam Gajkumar Shah
Read Statistic: 285

Intra-Optimised Lightweight Enciphering Algorithm based on MQTT Protocol for Internet of Things Secure Application

35-40
Ronald Chiwariro, S Rajendran
Read Statistic: 383

Constructing An Appropriate Neural Network For Maximizing Sugarcane Yield In A Particular Region

48-55
Rajesh S Budihal, S Krishna Anand
Read Statistic: 350
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