Faculty Publications
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Publications by NITK Faculty
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Item Multiple aggregator multiple chain routing protocol for heterogeneous wireless sensor networks(2013) Harichandan, P.; Jaiswal, A.; Kumar, S.Wireless sensor nodes are deployed to gather useful information from the field but their constraint on battery power leads us to think about energy efficient routing protocols so that they can operate over longer periods of time. We study the advantages of having multiple chains in a network with each chain's topmost node (called the aggregator) collecting the data from the nodes beneath it and transmitting it to the sink. In the proposed scheme, a chain in each region works as PEGASIS. We also study how considering heterogeneity in the network can improve the lifetime of a network by a significant period. We assume that a fraction of the nodes in the network possess additional energy. We show by simulations that the introduction of heterogeneity into the network results in a greater lifetime, compared to those of the classical data aggregation schemes, with the duration increasing with the amount of additional energy considered. © 2013 IEEE.Item Enhanced Framework for IoT Applications on Python Based Cloud Simulator (PCS)(Institute of Electrical and Electronics Engineers Inc., 2016) Jaiswal, A.; Domanal, S.; Guddeti, G.R.As innovation develops, more human-made devices are able to communicate with each other by means of Internet. This enables the Internet of Things (IoT) era to emerge. The amount of information generated by IoT applications can overpower computer infrastructures which are not prepared for such a huge data hence they need more CPU cycles. Distributed computing offers a solution at infrastructure level that eases such problems by offering highly scalable computing platforms. This necessitates arranging the framework on demand to meet invariant changes which applications require, in a pay-per-use mode. Current methodologies empowering IoT applications are area specific or concentrate just on communication between devices, therefore they can not be effectively deployed to different domains. To address this issue, in this paper, we present a data centric framework for advancement of IoT applications executed in python based cloud simulator. The framework handles association with information sources, information filtering and use of cloud resources including provisioning, load balancing, and planning thus enabling developers to concentrate on the application logic and encouraging the advancement of loT applications. © 2015 IEEE.Item Hand gesture-based stable powerpoint presentation using kinect(Springer Verlag service@springer.de, 2018) Kumar, P.; Jaiswal, A.; Deepak, B.; Guddeti, G.Recent trends in the development of interactive devices provide a better human–computer interaction (HCI) experience in various domains, e.g., academics, corporate world, teaching-assistant tools, and gaming. Presently sensors and camera-based applications are the area of interest of many researchers. In this paper, we mainly focus on developing natural hand gesture-based presentation tool for controlling PowerPoint presentation with more efficiency and stability. In order to provide stability during presentation using Microsoft Kinect, this paper proposes a novel idea of locking and unlocking for recognition of gestures. A comparative study has been done by considering three parameters namely viewer’s interest, frequency of movements, and overall stability during presentation. Results show that gesture-based presentation system provides better experience to both presenter and viewer as compared to traditional system. Further, there is no need of any extra device such as mouse or keyboard while presenting. This tool can also be used for development of other related applications. © Springer Nature Singapore Pte Ltd. 2018.Item MSE model incorporating Fourier decomposition method: HRV study of ECG signals for atrial fibrillation and congestive heart failure(Elsevier Ltd, 2023) Kumar, A.; Diksha; Mohan Rao, B.M.; Marwaha, P.; Jaiswal, A.Traditional techniques to evaluate the complexity of biological signals forgo the numerous time scales present in such data. When these algorithms were applied to real-world datasets gathered in health and illness states, they produced inconsistent results. Sample entropy (SampEn) has been utilized extensively to evaluate the complexity of RR-interval time series. Using multi-scale Entropy analysis incorporating Sample Entropy, several research on the complexity of physiological signals have been conducted. The primary disadvantage of MSE is that coarse-graining results in a noticeable and considerable loss of information. For small scales, the method proves to be ineffective. So, for the MSE analysis of physiological data, we have employed the FDM rather than coarse-graining. This FDM, which is based on the Fourier theory, is excellent for studying nonlinear and nonstationary time series. This approach generates a TFE distribution that displays the data's fundamental premise. This will provide a number of frequency bands with varying cut-off frequencies but consistent data across all of them. To further validate our suggested technique, we used “ANOVA analysis” to compare our results to the entropy analysis of a synthetic simulated database containing white noise (WN) and power noise (PN) signals. © 2023 The Author(s)Item Effect of metalloid element on the microstructural and mechanical properties of AlCoCrCuFeNi high-entropy alloys(Taylor and Francis Ltd., 2024) Chandrakar, R.; Chandraker, S.; Kumar, A.; Jaiswal, A.The impact of the metalloid element silicon (Si) addition on the microstructural and mechanical properties of the AlCoCuCrFeNiSix high-entropy alloy system is examined in this paper. The alloys were synthesized using a vacuum arc melting route. X-ray diffraction was used to analyse the current high-entropy alloys’ phase formation to comprehend the alloying process’s behaviour. It is evident from the peak pattern of the X-ray diffraction that the inclusion of Si promotes the growth of body-centred cubic structures. The microhardness and wear resistance were increased by increasing the Si content from 0 to 0.9. Si presence enhances the hardness of the alloys and strengthens the grain boundary. Improved hardness and wear resistance results from the enhanced body-centred cubic-phase formation, which poses a barrier to the dislocation movement and prevents further deformation. Furthermore, the inclusion of Si improved corrosion resistance in potentiodynamic polarization measurements. Excellent compressive strength is possessed by all of the high-entropy alloys with Si addition. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.Item Laser cladding technology for high entropy alloys: effect and applications(Institute of Physics, 2024) Prakash, O.; Chandrakar, R.; Martin, L.; Verma, J.; Kumar, A.; Jaiswal, A.A multi-component category of an alloy containing very specific properties revolutionized the area of material science and the present engineering era. Laser cladding, a technique for surface coating, enhances surface quality and modifies properties using advanced coating technologies. In current trends, Laser cladding is mainly used in equipment and machine parts for enhancing surface properties, repairing damaged parts and surface coating caused by its advantages such as small heat-affected zone, low substrate damage, low dilution rate and exceptional metallurgical material bonding among coating and used substrate. Laser cladding improves substrates’ mechanical and various functional-specific properties, ensuring a high-quality balance between mechanical and surface attributes. The research society was able to investigate laser-cladding HEAs coatings because of the superior attributes of HEAs compared to ordinary alloys. This paper reviews current developments in laser-cladding HEAs coatings and the application of laser-cladding technology to HEAs materials. The laser cladding high-entropy alloy coatings have potential applications in corrosion, wear, and oxidation resistance, as well as their respective substrates. Cladded coatings composed of HEAs materials are measured to have shown potential applications in recent technology, opening exciting possibilities for the future. The study also discusses current trends and future prospects. © 2024 The Author(s). Published by IOP Publishing Ltd.Item Investigation of phase transformation and mechanical properties of silicon addition on AlCrFeMnNi high entropy alloys(Institute of Physics, 2024) Chandrakar, R.; Chandraker, S.; Kumar, A.; Jaiswal, A.This paper examines the impact of silicon in the AlCrFeMnNi high-entropy alloy system, focusing on both its microstructural and mechanical properties. Alloys with varying silicon content (x = 0, 0.3, 0.6, 0.9 atomic ratio) were synthesized using vacuum arc melting. The phase formation of these high-entropy alloys was analyzed using x-ray diffraction to comprehend the alloying process behaviour. The findings revealed that the solidification of the AlCrFeMnNi alloy occurred in dendritically, with dendrite cores containing Cr, Fe, and Ni, while interdendritic regions were enriched in Al and Ni after adding Silicon. Increasing the silicon content from 0 to 0.9 led to significant improvements in microhardness and wear resistance. This improvement is attributed to the reinforcement of grain boundaries provided by silicon. The formation of an Al and Ni rich B2 phase is crucial in resisting dislocation motion and preventing further deformation. Additionally, the addition of silicon led to improved corrosion resistance, as demonstrated by potentiodynamic polarization measurements. However, a trade-off was observed between compressive strength and ductility: compressive strength increased with higher silicon concentrations, but at the expense of ductility. © 2024 The Author(s). Published by IOP Publishing Ltd.