Department of Electrical Engineering

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Flexibility in curriculum, in all its academic programs, encompassing elements of teaching, research, creativity, innovation and entrepreneurship is the most unique feature of IIT Jodhpur. The Department of Science and Technology (DST), under the National Mission on Cyber Physical Systems, has identified IIT Jodhpur as a Technology &amp; Innovation Hub in the area of Augmented Reality and Virtual Reality. The institute has also been nominated as the coordinator for the Jodhpur City and Knowledge Cluster by the Office of Principal Scientific Adviser, Government of India.

The sprawling 852-acre IIT Jodhpur campus is a majestic tribute to the deep-rooted diverse cultural heritage of the region. The campus is an architectural masterpiece, which is slated to become an international exemplar of sustainability with net-zero energy, and advanced water and waste management strategies.&rdquo;

IIT Jodhpur

The presence of harmonic components in a power delivery network affects the performance of the high-speed systems. In this paper, harmonic distortion associated with a 12 V to 1.2 V open-loop buck converter (designed in the BCD 180 nm technology of STMicroelectronics) has been analyzed. The nonlinear behavior of a buck converter has been modeled using Volterra series for expected power supply ripples of 50 Hz. The analysis has been compared with simulation results and shows 5 %, 1 % and 7 % of mean relative error. The difference between the analytical and the simulation results for IP2h and IP3h are 2.7 dB and 3 dB, respectively. © 2017 IEEE.

World University root node

ICECS 2017 - 24th IEEE International Conference on Electronics, Circuits and Systems

Nonlinear modeling and analysis of buck converter using volterra series

This paper presents a flexible and reliable chemiresistor-type NO2 gas sensor based on single-walled carbon nanotubes (SWNTs) on polytetrafluoroethylene (PTFE) membrane filter substrates. The sensor is realized by using a cost-effective spray coating in the preparation of SWNTs thin film, followed by the fabrication of metal contacts using a shadow mask and polyethyleneimine (PEI) noncovalent functionalization of the SWNTs. This showed a high sensitivity to NO2 gas at room temperature in dry air; 21.58% to 167.7% for concentrations of 0.75 ppm to 5 ppm, and was almost nonsensitive to ammonia. Gas sensing characterization results, obtained for various substrate bending/wrapping over different cylinders with diameters of 75 mm, 12.5 mm, and 6 mm showed that bending does not significantly affect sensitivity for NO2 concentrations of 0.75 ppm to 2 ppm, while in the case of 3 ppm to 5 ppm NO2, the bent samples indicate enhanced sensitivity. This is probably because of the porous nature of PTFE substrates; these sensors were 1.5 to 2.7 times more sensitive than those fabricated over silicon substrate for 1 ppm and 5 ppm, respectively. Moreover, the relative humidity of 10% and 30% significantly reduced the sensitivity of the sensors. The presented results could be useful for the future development of flexible electronics/sensors for monitoring outdoor air quality and for the detection of volatile organic compounds. © 2018 IOP Publishing Ltd.

Flexible and Printed Electronics

Flexible NO2 gas sensor based on single-walled carbon nanotubes on polytetrafluoroethylene substrates

This paper presents design and fabrication of MEMS 1-D micro mirror using thermally actuated bimorph actuator, for out of plane actuation application. Bimorph actuator was made of aluminum and silicon dioxide materials. Micro mirror performance was simulated using COMSOL multiphysics tool. Maximum displacement and temperature profile with voltage along micro mirror were presented. Aluminum was used as heater element as well as top layer of bimorph layer. Micro mirror was successfully released using surface micromachining with copper as sacrificial layer. © 2018 IEEE.

Proceedings of International Conference on 2018 IEEE Electron Device Kolkata Conference, EDKCON 2018

Design and Fabrication of Electro-Thermal 1-D Micro-Mirror

This work presents a protection algorithmto diagnose the fault and its type, using alienation coefficients of current signals, on a parallel transmission system. Alienation Coefficients are computed by comparing samples of post-fault current signals for successive cycles, obtained for a quarter cycle period. This Alienation Coefficient is compared with the threshold to detect the faulty phase and consequent classification of type of fault. Thus.the fault detection time for this algorithm is only a quarter cycle period. The performance of the proposed scheme has been established by various case studies in which fault locations, incipient angles and fault impedances are varied. © 2018 IEEE.

2018 3rd International Conference for Convergence in Technology, I2CT 2018

Transmission Line Fault Detection and Classification Using Alienation Coefficient Technique for Current Signals

Iris serves as one of the best biometric modality owing to its complex, unique and stable structure. However, it can still be spoofed using fabricated eyeballs and contact lens. Accurate identification of contact lens is must for reliable performance of any biometric authentication system based on this modality. In this paper, we present a novel approach for detecting contact lens using a Generalized Hierarchically tuned Contact Lens detection Network (GHCLNet). We have proposed hierarchical architecture for three class oculus classification namely: no lens, soft lens and cosmetic lens. Our network architecture is inspired by ResNet-50 model. This network works on raw input iris images without any pre-processing and segmentation requirement and this is one of its prodigious strength. We have performed extensive experimentation on two publicly available data-sets namely: 1) IIIT-D 2) ND and on IIT-K data-set (not publicly available) to ensure the generalizability of our network. The proposed architecture results are quite promising and outperforms the available state-of-the-art lens detection algorithms.

GHCLNet: A Generalized Hierarchically tuned Contact Lens detection Network

Renewable energy (RE) sources when integrated to utility network to form hybrid power system pose challenges in terms of stability and power quality. A method based on Stockwell's transform (S-transform) is presented in this paper for power quality (PQ) assessment and detection of islanding, outage and grid synchronization of renewable energy sources. Voltage signals are decomposed using multi-resolution analysis (MRA) of S-transform and features extracted are realized to assess the power quality disturbances associated with various events. Operational events are detected with the help of features extracted from the S-transform based decomposition of negative sequence component of voltage. A power quality index is proposed to rank the various operational events based on power quality. Proposed algorithm has been tested successfully on IEEE-13 bus test system with necessary modifications to integrate wind and solar PV generators to form the hybrid power system. Simulation results are validated in real time environment with the help of real time digital simulation (RTDS) system. © 2018 Elsevier B.V.

Electric Power Systems Research

Power quality assessment and event detection in hybrid power system

This paper considers collective circular motion of multi-agent systems in which all the agents are required to traverse different circles or a common circle at a prescribed angular velocity. It is required to achieve these collective motions with the heading angles of the agents synchronized or balanced. In synchronization, the agents and their centroid have a common velocity direction, while in balancing, the movement of agents causes the location of the centroid to become stationary. The agents are initially considered to move at unit speed around individual circles at different angular velocities. It is assumed that the agents are subjected to limited communication constraints, and exchange relative information according to a time-invariant undirected graph. We present suitable feedback control laws for each of these motion coordination tasks by considering a second-order rotational dynamics of the agent. Simulations are given to illustrate the theoretical findings. © 2017 Elsevier B.V.

Communications in Nonlinear Science and Numerical Simulation

Collective circular motion in synchronized and balanced formations with second-order rotational dynamics

Indoor localization is currently of good interest concerning both business viability and end user experience. In this paper, we propose an accurate and robust step detection algorithm for smartphone based pedestrian dead reckoning (PDR) systems. The developed algorithm makes use of the acceleration measured from the smartphone and uses a statistical threshold based classification to detect the steps accurately. The statistical thresholds used are derived from extensive field trials with subjects of different age groups and found to provide good accuracy when used in real-time. For analyzing the performance of the proposed algorithm, we have implemented the algorithm on Android platform and performed extensive field trials. The analysis proves that the proposed algorithm identifies the user steps in real-time with an accuracy of more than 99% with minimum memory requirements. © 2018 IEEE.

IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings

A novel system architecture for real-time, robust and accurate step detection for PDR based indoor localization

In this paper, we propose a novel IEEE 802.15.4 media access control (MAC) power management scheme that achieves the user specified reliability with minimal power consumption at the node. Also, we develop an accurate mathematical model to analyze the effects of constrained on-node memory for sensed data storage on the MAC layer performance. We use three-dimensional Markov chain and M/G/1/K queue to model the IEEE 802.15.4 MAC and on-node packet queue, respectively. By formulating the precise packet service time, the reliability, packet queue overflow losses, delay, and power consumption of the node are analyzed. When compared with simulations and the real-time test bed, the proposed model achieves an accuracy of 97% and 94%, respectively. Also, the performance analysis shows that the proposed power management scheme provides energy savings of up to 74.82%. © 2005-2012 IEEE.

IEEE Transactions on Industrial Informatics

Novel power management scheme and effects of constrained on-node storage on performance of MAC layer for industrial IoT networks

This paper presents an analysis of jitter in a CMOS inverter due to power supply, ground bounce and substrate noise. The analysis is based on the recently introduced method EMPSIJ [1] which is extended in this paper for substrate noise induced jitter. To estimate jitter due to various noise sources (such as supply noise, ground bounce, substrate noise), noise transfer functions are derived. The results of EMPSIJ and the EDA simulations are compared for an inverter designed in a 28nm CMOS Technology of TSMC. For multiple test cases, the results match reasonably well with mean percentage error (MPE) not exceeding 10%. © 2018 IEEE.