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Research Paper

Optimal load forecasting by hybrid the artificial neural network and firefly algorithm

In the smart grid, load forecasting algorithms used for estimating the electricity demand based on historical data. It helps in generating accurate electricity and overcoming the two challenges such as a shortage of electricity and excess generation cost. In the literature, various traditional load forecasting algorithms proposed to predict the electricity demand but never the accurate results. Therefore, advanced algorithms come into the picture such as artificial intelligence algorithms. In this paper, we have hybrid the Artificial Neural Network (ANN) and firefly algorithm for load prediction. Initially, the ANN algorithm is trained based on the historical data then applied to it. After that, the firefly algorithm is used for searching for the optimal learning rate for ANN. The experimental results are performed in the MATLAB 2015a. We have measured various performance analysis parameters and compared with the existing results. From the study, we found that the proposed algorithm gives better accuracy as compared to the existing algorithms

Published by: Rishav, Puneet Jain, Chakshu Goel

Author: Rishav

Paper ID: V6I6-1170

Paper Status: published

Published: November 27, 2020

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Review Paper

Artificial intelligence and robotics: The enhanced paediatric dentist

Automation would be an inevitable course of manual work facing every field in the future in view of technological advancements. The mental and physical strain incumbent on the paediatric dentist due to long hours of managing the child and the unwavering focus that the trade demands may compromise the quality of service. A system capable of physical manipulation that is powered by an intelligent program would be the ideal assistant to the dentist for carrying out technique sensitive procedures. Data management, diagnosis, treatment planning and student education can transcend to a new plane of execution with Artificial Intelligence and Robot enhanced Paediatric Dentist at the epicentre. Among the many hurdles faced by the idea of turning robotics in dentistry into a tangible reality is the extreme cost and bureaucratic resistance.

Published by: Chandra Kanth B., Chandradeep, Swapna Manepalli

Author: Chandra Kanth B.

Paper ID: V6I6-1150

Paper Status: published

Published: November 27, 2020

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Research Paper

Smart image enhancement technique by removal of undesirable objects/background from the image

The devil is always in your picture. You always miss the best shot and that particular tiny object in your photo can worsen the entire composition and result in something opposite from what you hoped for. The proposed AI based image enhancement model will first detect unwanted objects/background based on the training of large set of already edited images by users then intelligently reconstructs the image without those objects. We have prepared a dataset with distracting elements in the images and used it to train our predictor model which predicts the distracting regions and thereafter used image-inpainting to remove those areas which results in a standalone system for distractor removal with no user input. In the proposed method of this paper, the image is first segmented using Convolutional networks for semantic segmentations and then each segment is classified in terms of the score of distractors on the basis of various features which almost covers all types of distractors in an image. Our main focus was to collect the data which contains all kinds of distractors and then deciding the features which classify an object as a distractor in an image. Detection and removal of distracting regions helps to enhance the beauty and visual quality of the image which can be fulfilled by using our model.

Published by: Pankaj Tanwar, Karishma Kumari, Saqib Kamal

Author: Pankaj Tanwar

Paper ID: V6I6-1161

Paper Status: published

Published: November 27, 2020

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Research Paper

Speech Recognition for Crime Analysis

Human-Computer Interaction (HCI) is a multidisciplinary field of study focusing on the design of computer technology and, in particular, the interaction between humans (the users) and computers. While initially concerned with computers, HCI has since expanded to cover almost all forms of information technology design. We aim to take this further in the field of crime analysis by developing a system for speech recognition. This will be a huge contribution to the crime department where speech recognition will not only help them to handle large amount of data but also in checking the criminal records faster. This is a modern and advanced technique where with the help of voice recognition test file will be compared with database files.

Published by: Mehak Sharma

Author: Mehak Sharma

Paper ID: V6I6-1153

Paper Status: published

Published: November 16, 2020

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Research Paper

And the airline is… (Airline Satisfaction Review)

Like how ratings are crucial in a hotel booking process, they are equally important in the airline industry. The primary reason for such ratings is the expectation of service for the amount paid (since being the most expensive way of transport). A rating can boost a newbie up or pull a giant down. Again, it is all due to the service. Identifying the reasons and where to correct them is an example of a business model. The key objectives of this problem would be (a)To identify if changes are necessary to implement based on customer feedback. (b)To measure the modifications and minimize overall dissatisfaction. (c)Develop corresponding visualizations. And (d)To identify the satisfaction of a customer based on their feedback by fitting the appropriate model. In real-time, this study can be used for reviewing the performance of the airline’s front-end operations. With machine learning techniques, the user can find the best fit model. Furthermore, the financial data, it can also be used to alter the existing model to bring better expenditure versus profit per seat. The final model should also be able to predict satisfaction based on ratings and analyse the ways to minimize dissatisfaction.

Published by: Niveditha N., Nandhini S.

Author: Niveditha N.

Paper ID: V6I6-1142

Paper Status: published

Published: November 16, 2020

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Thesis

“Artificial Intelligence”- A futuristic vision

Technology is shaping itself in and out to satisfy the needs and wants of people and eventually win the global markets.Most of the countries and its companies are competently emerging withnewer scientific concepts to bring in the high degrees of constructive and smart technology one of which is the "Artificial Intelligence "This leads to newer evolution of interfaces ,thereby also contribute to the better handling of information and conversion of information into knowledge.

Published by: Abirami Shanmugam

Author: Abirami Shanmugam

Paper ID: V6I6-1163

Paper Status: published

Published: November 12, 2020

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