Faculty Publications
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Publications by NITK Faculty
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Item An Industry 4.0 Approach: Data Acquisition and Machine Monitoring for Welding Machines(Springer Nature, 2024) Narendra Reddy, T.N.; Ponnappa, N.P.; Prasad, P.; Vinod, P.; Herbert, M.A.; Rao, S.S.The research introduces an innovative application of Industry 4.0 principles in welding by employing IIoTbased performance monitoring equipment. One the important aspect of Industry 4.0 adaption is understanding the requirement from the customer and develop/ provide the acceptable solution to them is crucial. An attempt has been made to develop a solution which can be used for any kind of welding machines including legacy welding machines. The developed solution delivers real-time updates on shop floor welding processes with the help of Operational Technology (OT) and Information technology (IT) with the help of hall effect sensors and voltage transducers by connecting them to the Programmable logic controller (PLC). Additionally, it facilitates real-time feedback, alerts, and report generation. The study comprehensively assesses the effectiveness and production capacity of an industrial welding system, presenting a detailed design overview and practical demonstration. Potential enhancements, such as integrating machine learning, emphasizing remote monitoring, evaluating energy efficiency, addressing cybersecurity, and assessing scalability, are explored. The research includes a cost–benefit analysis for the shopfloor and provides insights into the real-world effectiveness of IIoT-based welding performance monitoring in industrial contexts. The developed solution has been tested, validated, and deployed in one of the welding industries, and it has helped in real-time monitoring, scheduling the work and data analytics. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.Item Automatic generation of web service composition templates using WSDL descriptions(Springer Verlag service@springer.de, 2015) Kamath S․, S.; Alse, S.; Prasad, P.; Chennagiri, A.R.Due to the extensive use and increase in the number of published web services, clustering and automatic tagging of web services to facilitate efficient discovery of web services is crucial. Discovering composite services has gained importance as there is a need for integrating web services to meet complex service requirements. In this regard, we propose a system for clustering services based on features extracted from their WSDL documents for generating service tags and then the cluster tags. Also, based on the service requirements specified by the requester, our system can identify and generate potential composite service templates. These are basically the subgraphs of the service dependency graph generated by considering only relevant services determined by matching cluster tags and service tags with the request tokens. It was seen that the search domain for service composition was significantly reduced by clustering and tagging and the system obtained meaningful and encouraging results. © Springer India 2015.Item Frequency contour modeling to synthesize natural flute renditions for carnatic music(Institute of Electrical and Electronics Engineers Inc., 2018) Ashtamoorthy, A.; Prasad, P.; Dhar, S.; Vijayasenan, D.Hidden Markov Models used for computer music synthesis do not satisfactorily reproduce Indian Carnatic music and also require large training datasets. The essence of Indian Carnatic music is its micro-tonal frequency variations called Gamakas. In this work, we study the flute note properties, features that characterize the Gamakas, and hence attempt to devise a generalized method for synthesizing Carnatic music flute compositions. Our method uses additive sinusoidal synthesis coupled with a stochastic noise model. In time domain, splines are used to model the amplitude envelope to ensure a natural reconstruction. Integrated frequency contours are used for smooth concatenation of notes and modelling of Gamakas and notes. In order to evaluate our synthesis, we use a Mean Opinion Score (MOS) survey to compare our results with the baseline and the original recordings. The MOS of the proposed method is around 3.5 while the baseline is 2.3. © 2018 IEEE.Item CO2 detection: using the polyethyleneimine–cerium oxide nanocomposite sensing film coated on interdigitated electrode prepared from copper clad(Taylor and Francis Ltd., 2022) Naveen Kumar, N.; Prasad, P.; Savitha, M.B.; Lokesh, L.; Shanmugam, B.K.; Navaneeth Gowda, N.; Rohith, H.V.In this effective work, Polyethyleneimine (PEI) and Cerium Oxide (CeO2) with disparate weight percentage were designated for sensing Carbon dioxide (CO2). Four heterogeneous varieties of sensors with a varied weight percentage of CeO2 in PEI were fabricated by drop-casting the sensitive films on prepared Interdigitated electrodes (IDE) from copper-clad. Morphological, compositional, absorbance and X-ray studies were led on the cerium oxide nanoparticles by field-emission scanning electron microscopy (FESEM), energy dispersive X-ray analysis (EDAX), UV-Visible spectrometer and X-ray diffractometer (XRD). Response capabilities of all the four sensors at room temperature were attentively scrutinized. Unique capabilities of Repeatability, sensitivity, error-free measurements of the response time and recovery time were carefully inspected. It was summarized that the appropriate weight ratio of CeO2 and PEI was critical for sensing response. A feasible comparison between sensing responses of the fabricated sensors to CO2 under nitrogen (N2) was typically done. Relevant sensing process was investigated too. © 2020 Informa UK Limited, trading as Taylor & Francis Group.