MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

Engineering and Technology

The interconnection network is very influential in Multiprocessor system-on-chip (MPSoC) performance. Due to low power efficiency and high latency, conventional interconnects are replaced by electrical networks on-chip (ENoC). However, ENoCs cannot gratify the bandwidth, latency and loss requirements within the available power budget of optical integrated circuits. The reasons being restricted bandwidth, extended delay, and reasonably high power consumption. So, ENoC are being replaced by optical networks-on-chip (ONoC). ONoC has emerged as a promising substitute to provide greater bandwidth, low latency and low power ingestion in MPSoCs. Number of cores required on-chip is increasing which leads to demand of multilayer multi-core processors. Three dimensional (3D) ONoC has become essential for such multilayer multi-core processors. For 3D ONoC, in this paper we have proposed 6x6 non-blocking optical router using micro-ring resonator (MRR) with less number of waveguide crossings and waveguide bendings. Phoenix software is used to simulate proposed optical router. Insertion loss of proposed optical router is lowest among existing non-blocking optical routers of 3D ONoC. © Published under licence by IOP Publishing Ltd.

School of Electronics & Communication Engineering

International Conference on Electronics Circuits and Signaling Technologies

Optimized 6x6 Optical Router for Three Dimensional Optical Networks-on-Chip

With the advancements in the Internet of Things (IoT), machine-to-machine communication, big-data, and the associated environment, a new model of the Industrial Internet of Things (IIoT) has emerged. The IIoT brings sensors, intelligent machines and tools, instruments, and analytics together for applications like manufacturing, robotics, and many others. Most of these applications require adaptive and autonomous behavior, Quality of Service (QoS), efficient resource allocation, and reservation. One of these crucial challenges is to build and maintain a data communication schedule. Time Slotted Channel Hopping (TSCH) based network operation promises required QoS for low-power applications and enables high reliability. 6TiSCH layer is being developed by standardizing the protocol stack to achieve industrial performance requirements by using IPv6 over IEEE802.15.4e TSCH MAC. 6TiSCH aims to manage the schedule and configure it with the topology and traffic requirements in the industrial environment. This paper proposes a novel low latency autonomous scheduling scheme for the 6TiSCH networks. It generates a segmented schedule for the network where all source nodes can send application data packets to the root node in a single slotframe. The performance of the proposed technique is compared with existing scheduling techniques. Our scheme outperforms the other techniques. The result shows that the latency is reduced up to 41% in comparison with the other scheduling schemes. The proposed scheme has a lower radio duty cycle as the node's ON time is reduced, making it more energy efficient and reliable. © 2013 IEEE.

World University root node

IEEE

6TiSCH Low Latency Autonomous Scheduling for Industrial Internet of Things

Wireless low-power communication technologies play a vital role in building Industrial Internet of Things (IIoT) systems. The 6TiSCH layer is being developed for IIoT applications to use IPv6 upper stack over IEEE 802.15.4e TSCH MAC. 6TiSCH layer defines the scheduling scheme to achieve stringent industrial requirements and QoS advancement. This paper proposes a novel 6TiSCH traffic-aware autonomous scheduling technique for the IIoT network. In this technique, the schedule is created as per the traffic condition at the node, reducing the packet loss. It divides the slotframe into a number of segments and allocates a consecutive segment for the node as per its hop distance from the root. Supplementary cells are allocated to the nodes that are close to the root as these nodes have more traffic than the other nodes in the network. The proposed technique outperforms by improving the Packet Delivery Ratio (PDR) and reducing end-to-end delay compared to other scheduling techniques. The result shows that PDR is improved up to 23% and reduces delay up to 37%. © 2022 Informa UK Limited, trading as Taylor &amp; Francis Group.

International Journal of Computers and Applications

Traffic-aware autonomous scheduling for 6TiSCH networks

With the advent of the Internet of Things (IoT), machine to machine (M2M) communication, and the related ecosystem, recently a new paradigm of Industrial IoT (IIoT) has emerged. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

SpringerBriefs in Applied Sciences and Technology

Optimal Network Configuration in Heterogeneous Industrial IoT

Consumption of natural resources is aggravating at an astonishing rate and soon this will lead to scarcity for future generations. The engineering fraternity is constantly engaged in identifying innovative solutions to save energy and reduce consumption. Acknowledging this, one of the innovative ways of increasing heat transfer rates in engine cooling systems has been targeted. The theory says, the hydraulic diameter of tubes plays a vital role in tube-fin heat exchangers, reducing the diameter of tubes increases the rates of heat transfer. However, on the other hand, it increases the pressure drop. An effort has been made to find a golden mean by the use of “microchannels” of appropriate hydraulic diameter for single-phase applications in radiators. The work comprises parametric analysis to study the effect of microchannel diameter on heat transfer and fluid pressure drop. Elaborating this, an analysis was performed by the means of analytical procedure and computational methods using Ansys CFX, the data generated indicates that the Nusselt Number is very large, in hundreds, as compared to the conventional channels. The overall HTC is in the range of 2000 W/m2 K indicating that the radiator size can be reduced by 40% for the same rate of heat transfer for 0.001 m hydraulic diameter. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

School of Mechanical Engineering

Lecture Notes in Mechanical Engineering

Analytical and Computational Analyses of Microchannel Heat Exchanger for Single-Phase Applications

Pressure and water level control are quite challenging in grate-fired boilers due to higher combustion lag. Fluctuation in the pressure and the water level is more evident in the coal-fired grate boilers due to the presence of lower volatile and higher char. This results in suboptimal operation and poor performance of the boiler. This paper presents a novel predictive and dynamic simulation model for the drum dynamics analysis of a grate-fired boiler by combining a data-driven model and a thermodynamic model. A data-driven methodology is employed for the estimation of combustion, heat transfers, and circulation performance of the boiler. A novel thermodynamic model is proposed for the boiler dynamics of a hybrid boiler. The proposed data-driven model has been integrated with the thermodynamic model to reduce the randomness and improve consistency. Pressure and water level errors are estimated by comparing the predicted value and experimental result and the multi-objective optimisation technique is employed for the minimisation of errors. The Stochastic Gradient Descent algorithm is proposed for its ability to quick learning and adaptation to variations in fuel and combustion characteristics. The model demonstrates good accuracy in predicting the combustion and boiler dynamics of a grate-fired boiler. The proposed model has good potential to be used for the reciprocating grate solid-fuel boiler control in fluctuating load conditions. © 2022 ISA

ISA Transactions

Stochastic gradient descent algorithm for the predictive modelling of grate combustion and boiler dynamics

Personalization technologies can be a useful tool for improving user experience across a wide range of applications, but they also raise new privacy concerns. While the volume of personal data acquired by applications has continuously increased, user awareness of the ramifications has not followed the same trend. A Survey was conducted to better understand users' perceptions of the matter and their opinions in order to make better privacy-related decisions. The study focuses on topics such as user awareness of personalization and privacy, end user preferences for personalization and privacy, data misuse awareness, privacy awareness about continued usage of applications, and willingness to make better choices for enhanced privacy. The target demographic is between the ages of 19 to 22, sometimes known as "young adults."

School of Computer Engineering & Technology

13th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2022

Analysing Data Privacy Concerns in young adults – apprehensions of engineering students

Functionally graded materials (FGMs) have been an integral part of the bio-medical industry for a significant span of period. It has helped to address issues arising due to use of orthodox materials in the fabrication of implants and other surgical tools. With variations in the material concentration of a single material or combination of multiple materials affects its properties (mechanical, physical and chemical). This has been motivated by the enhancement in controlled deposition techniques and the ability to build structures with complex lattice formations. Additive Manufacturing (AM) has proven its proficiency in producing products with complex geometry and user-derived designs. FGMs and AM can be coupled together to fabricate parts with preferred set of functioning to improve bio-mechanical characteristics of implants, thus providing thrust to the scope of research in this field. This article focuses on the state-of-the-art study of functionally graded materials, overview of the currently available manufacturing techniques and methodologies that are being used to manufacture various artificial implants namely dental, cardiovascular, knee and hip implants. Along with this it also sheds light on the challenges that are limiting the success outcomes with probable ways to overcome them. © 2022 Author(s).

AIP Conference Proceedings

Additive manufacturing of bio-implants using functionally graded materials

Dental Implants are commonly used for replacement of the natural teeth due to damage occurred because of old age, infection. The stress distribution around the implant decides the implant success and its stability. The thread design of the implant is critical in ensuring an even distribution of stress around the implant. In this study the design of the implant thread of dental implant with buttress thread profile was optimized to reduce the stress at bone-implant interface using Taguchi method (Full Factorial Design). The control factors (Pitch, Height, depth of the implant thread design and two levels of these three parameters) were placed in an L8 orthogonal array. The eight thread design combinations derived from orthogonal array were used to prepare the CAD models and further subjected to Finite element analysis to find the optimized von Mises stress. These thread design combinations were further subjected to Factorial Analysis (pareto chart of effects), One-way ANOVA analysis, and the main effects plots were found for the response. The results showed that the thread design with pitch as 1.2 mm, height as 0.07 mm and depth as 0.41 is optimum design. The pareto chart of effects and ANOVA showed that the depth of the implant thread design proved to be most significant parameter and had most influence on the von Mises stress at bone-implant interface. © 2022

Materials Today: Proceedings

Dental implant thread profile optimization using Taguchi approach

It’s been around two years from the outbreak of the coronavirus, thus labeled as Covid- 19, and there has been an explosion of literature being published by research scholars related to work done on Covid-19. Covid- 19 as a keyword has been mentioned in the titles of most of these papers. It was thought to analyse the number of papers and the titles of papers which include Covid- 19 in the title of the research papers. The various combinations of other words like, prefixes, suffixes, N-gram combinations with the keyword Covid- 19 in the titles of these papers were also analysed. The research publication repositories analysed were: IEEE Explore, ACM Digital Library, Semantic Scholar, Google Scholar, Cornel University etc. The domains of research publication title analysis were restricted to computer science / computer engineering related papers. As the term labeling the corona virus outbreak as Covid-19 was labeled in 2020, the timeline of title analysis was restricted from 2019 till December 2021.