Indian Institute of Technology Kharagpur

About: Indian Institute of Technology Kharagpur is a education organization based out in Kharagpur, India. It is known for research contribution in the topics: Computer science & Dielectric. The organization has 16887 authors who have published 38658 publications receiving 714526 citations.

Flank wear prediction in drilling using back propagation neural network and radial basis function network

Abstract: In the present work, two different types of artificial neural network (ANN) architectures viz. back propagation neural network (BPNN) and radial basis function network (RBFN) have been used in an attempt to predict flank wear in drills. Flank wear in drill depends upon speed, feed rate, drill diameter and hence these parameters along with other derived parameters such as thrust force, torque and vibration have been used to predict flank wear using ANN. Effect of using increasing number of sensors in the efficacy of predicting drill wear by using ANN has been studied. It has been observed that inclusion of vibration signal along with thrust force and torque leads to better prediction of drill wear. The results obtained from the two different ANN architectures have been compared and some useful conclusions have been made.

Coronavirus disease 2019 (COVID-19) outbreak: some serious consequences with urban and rural water cycle

Abstract: The COVID-19 outbreak due to SARS-CoV-2 has raised several concerns for its high transmission rate and unavailability of any treatment to date Although major routes of its transmission involve respiratory droplets and direct contact, the infection through faecal matter is also possible Conventional sewage treatment methods with disinfection are expected to eradicate SARS-CoV-2 However, for densely populated countries like India with lower sewage treatment facilities, chances of contamination are extremely high; as SARS-CoVs can survive up to several days in untreated sewage; even for a much longer period in low-temperature regions With around 18 billion people worldwide using faecal-contaminated source as drinking water, the risk of transmission of COVID-19 is expected to increase by several folds, if proper precautions are not being taken Therefore, preventing water pollution at the collection/distribution/consumption point along with proper implementation of WHO recommendations for plumbing/ventilation systems in household is crucial for resisting COVID-19 eruption

Sequenceserver: A Modern Graphical User Interface for Custom BLAST Databases.

Abstract: Comparing newly obtained and previously known nucleotide and amino-acid sequences underpins modern biological research. BLAST is a well-established tool for such comparisons but is challenging to use on new data sets. We combined a user-centric design philosophy with sustainable software development approaches to create Sequenceserver, a tool for running BLAST and visually inspecting BLAST results for biological interpretation. Sequenceserver uses simple algorithms to prevent potential analysis errors and provides flexible text-based and visual outputs to support researcher productivity. Our software can be rapidly installed for use by individuals or on shared servers.

Image resizing in the compressed domain using subband DCT

Abstract: Resizing of digital images is needed in various applications, such as transmission of images over communication channels varying widely in their bandwidths, display at different resolutions depending on the resolution of a display device, etc. In this work, we propose a modification of a recently proposed elegant image resizing algorithm by Dugad and Ahuja (2001). We have also extended their approach and our modified versions to color images and studied their performance at different levels of compression for an image. Our proposed modified algorithms, in general, perform better than the earlier method in most cases. Though there is a marginal increase in the computation required in image-halving, the computation overhead of the proposed modification is higher compared to the Dugad-Ahuja algorithm in the case of doubling the images.