Short Term Course on "ARTIFICIAL INTELLIGENCE IN ENGINEERING
APPLICATIONS (AIEA, 2016)", NSIT, DELHI
26th - 30th December, 2016
Dr. Deepika Yadav, Associate Professor of Electronics and Communication Engineering Department) from Dronacharya College of Engineering, Gurgaon attended the 5-day workshop on “ARTIFICIAL INTELLIGENCE IN ENGINEERING APPLICATIONS” Organized at NSIT, DELHI from 26 - 30 DEC, 2016
This training programme is specially designed for artificial intelligence techniques which are bioinspired algorithm used in various engineering domain. The following contents were explored during the STC: Introduction to MATLAB fundamentals, working with the MATLAB User Interface, variables and expressions, analysis and visualization with vectors & matrices, working with Data files, multiple vector Plots, Data Analysis, fuzzy logic toolbox, neural network toolbox. The session was primarily taken by Prof Smriti Srivastava NSIT, Head, ICE Department, NSIT Delhi.
Day 1:26 December
The session began with a welcome address by Prof AP Mittal, NSIT Delhi. Further, Inaugural session was continued by Prof Swati Srivastava and Prof SK Jha from NSIT Delhi. Lamp lightning ceremony was conducted by various senior Professors like: Prof. Prerna Gaur, NSIT Delhi, Prof R P Suri, Retired from IIT Delhi and Prof Vijender Singh from NSIT Delhi. This short term course is intended to provide the basic knowledge of artificial intelligence techniques to the participants.
Secondly, Prof AQ Ansari, JMI presented his brief lecture on “fuzzy logic in artificial intelligence”. His brief presentation includes Fuzzy Logic (FL) is a method of reasoning that resembles human reasoning. The approach of FL imitates the way of decision making in humans that involves all intermediate possibilities between digital values YES and NO. The conventional logic block that a computer can understand takes precise input and produces a definite output as TRUE or FALSE, which is equivalent to human's YES or NO. As classical logic only permits conclusions which are either true or false.
Followed by, Prof. Prema Gaur, NSIT, presented her concise lecture on “Application of AI in Electric Drives” Her brief presentation includes recently developed artificial-intelligence-based techniques (fuzzy logic, neural networks, fuzzy-neural networks, genetic algorithms, etc) have received increased attention world-wide and at present two industrial drives incorporate some form of artificial intelligence.
Day 2:27 December
The first session on Second day was started by Dr Pradeep Kumar NIT Kurukshetra on “Engineering Applications of Artificial Neural Networks”. He explained that the Artificial neural networks are computers whose architecture is modeled after the brain.
After that Prof Smriti Srivastava NSIT Delhi presented her brief lecture on “Application of Neural Networks for Identification and Control of Dynamical Systems”. Her brief presentation includes :Exponential growth in soft computing technologies which has marked a new milestones in powerful representation, modelling paradigms and optimization mechanisms for solving modern controller issues. Soft computing has provided sophisticated methodology for the development of industrial process controllers.
Thirdly, Dr Bhanu Pratap, NIT Kurukshetra presented his brief lecture on “Adaptive observer based controller for non linear system using Chebyshev neural network”. His brief presentation includes a single layer Chebyshev Neural Network (CNN). CNN is a functional link network (FLN) based on Chebyshev polynomials. The architecture of the CNN consists of two parts; namely, numerical transformation part and learning part. Numerical transformation deals with the input to the hidden layer by approximate transformable method. Followed by, Dr Vivek Shrivastava, RTU, he presented his brief lecture on “Ant Colony optimization”. His brief presentation includes Ant colony optimization technique (ACO) which is a population-based metaheuristic that can be used to find approximate solutions to difficult optimization problems.
Day 3:28 December
The first session on Day 3 was on “Optimization” taken by Prof Sumantra Duta Roy IIT Delhi. He explained Optimization Toolbox software which extends the capability of the MATLAB numeric computing environment.
After that Prof K PS Rana, NSIT delhi presented his brief lecture on “Sensor Linerarization using Soft-Computing Techniques”. His brief presentation includes : In many control system applications Linear Variable Differential Transformer (LVDT) plays an important role to measure the displacement. The performance of the control system depends on the performance of the sensing element. It is observed that the LVDT exhibits the same nonlinear input-output characteristics.
Followed by Lab practice session on MATLAB 2015. Two lab sessions such as Neural Network Toolbox by one of Course coordinator Hasmat Malik NSIT Delhi and Fuzzy Logic Toolbox by other course coordinator Bhavnesh Kumar NSIT Delhi. He presented his brief lecture on “Sensor Linerarization using Soft-Computing Techniques” First Lab session was on Neural Network taken by Hasmat Malik NSIT /Dr. Kunwar Singh. Second Lab session was on Fuzzy Logic Toolbox taken by Bhavnesh Kumar/ Dr. Umang Soni.
Day 4:29 December
The first session on Day 4 was taken by Prof R P Suri from IIT Delhi on “Knowledge - based systems”. His brief about lecture is as follows: These early knowledge-based systems were primarily expert systems in fact, the term is often used synonymously with expert systems. The difference is in the view taken to describe the system: expert system refers to the type of task the system is trying to assist with – to replace or aid a human expert in a complex task; knowledge-based system refers to the architecture of the system that it represents knowledge explicitly rather than as procedural code.
Second session was taken by Prof Vijender Singh NSIT Delhi on “Application of AI in Process Control” He explained various application of AI in Process Control as follows: Exponential growth in soft computing technologies has marked new milestones in powerful representation, modelling paradigms and optimization mechanisms for solving modern controller issues. Soft computing has provided sophisticated methodology for the development of industrial process controllers.
Third Session was taken up by Prof Dheeraj Joshi, DTU on “GA in Engg applications”. He explained briefly about Genetic algorithm. The utilization of Genetic Algorithms (GA) in tackling engineering problems has been a major issue arousing the curiosity of researchers and practitioners in the area of systems and engineering research, operations research and management sciences in the past decades.
Day 5:30 December
The first session on Day5 was taken by Dr Tapan Kr. Gandhi from IIT Delhi on Machine Learning/Image Processing. Image parameterization is a technique for describing bitmapped images with numerical parameters - features or attributes. Traditionally, popular image features are first- and second-order statistics, structural and spectral properties, and several others.
Second and third session was taken up by Prof Sukumar Mishra from IIT Delhi on Advanced Techniques in Artificial Intelligence.
He explained briefly about “Advanced Techniques in Artificial Intelligence”. Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal.
Conclusion:
Nowadays, MATLAB which is considered as versatile and scientific purpose software can be applied in any domain related to engineering. So the Short term course on “ARTIFICIAL INTELLIGENCE IN ENGINEERING APPLICATIONS” proved to me as very informative. Moreover these bioinspired algorithms can easily be applied to various engineering domain as compared to various conventional techniques. In addition it also helped me and various participants to apply “Bio inspired algorithm” with MATLAB in their problem area related to different engineering field. This way this STC helped us to grow our insight and to develop the spark of learning more and more bio inspired algorithm with MATLAB Software. These techniques promise to have greater role in engineering applications in future.