Department of Electrical Engineering

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IIT Jodhpur

The recently developed IEEE 802.11ad (WiGig) standard offers multi-Gbps connectivity for consumer wireless local area networks and operates in the millimeter wave frequency band (around 60 GHz). It supports two different contention-based channel access mechanisms, namely distributed coordination function, which offers fair service for every station, and the enhanced distributed channel Access (EDCA) for offering service differentiation among the stations. In this paper, we study the throughput performance of the IEEE 802.11ad EDCA mechanism under saturated traffic conditions using both analytical and simulation models. A novel five-dimensional Markov chain developed is used for analytically modeling the throughput behavior of the IEEE 802.11ad EDCA in the presence of virtual antenna sectors, high-gain directional beamforming, and presence of contention and contention-free access periods. Using this developed analytical model, the effect of the number of sectors, number of stations, arbitration inter-frame space, packet length, and minimum contention window size on the throughput of the four different access or service categories present in the EDCA under saturated traffic conditions, is investigated. When compared with the simulation outcomes, the proposed analytical model accurately analyzes the network performance by achieving less than 4% error. © 1967-2012 IEEE.

World University root node

IEEE Transactions on Vehicular Technology

Saturated throughput analysis of IEEE 802.11ad EDCA for High Data Rate 5G-IoT Applications

The primary focus of this paper is to discuss the modeling of jitter caused by power supply noise (PSN), named power supply induced jitter (PSIJ). A holistic discussion is presented from the basics of power delivery networks to PSN and eventually to the modeling of PSIJ. The in-depth details and a review of several methodologies available in the literature for the estimation of PSIJ are presented. © 2011-2012 IEEE.

IEEE Transactions on Components, Packaging and Manufacturing Technology

A review on power supply induced jitter

In this paper, a novel mode decoupling technique of a SIW dual mode square resonator is presented. It is then utilized to design a self diplexing radiator. A single corner cut square cavity with a triangular ring slot on top is used for dual mode excitation and mode decoupling. Both the electric and magnetic mode couplings are used simultaneously to improve the port isolation. Once the single square cavity is optimized for good port isolation, two extra TE110 mode cavities are further added to improve the isolation. Finally, 37 dB port isolation is achieved. The measured gains are 4.45 dBi and 4.20 dBi at 10.5 GHz and 11.7 GHz respectively. The proposed design can be used in a transceiver system without any circulator, switch or additional bandpass filter. © 2019 IEEE.

2019 IEEE MTT-S International Microwave and RF Conference, IMARC 2019

Mode De-coupling of a dual mode SIW resonator and its application in designing a self-diplexing radiator

This letter presents a substrate-integrated-waveguide-based compact, dual-mode self-diplexing antenna. A single square cavity with a rectangular ring slot is used for both dual-mode excitation and radiation. A prototype diplexing antenna is fabricated that radiates linear, orthogonal polarization at 9.5 and 10.5 GHz. The measured peak gains at the two frequencies are 5.75 and 5.95 dBi, respectively. Intermodal coupling between the modes provides two transmission zeros, which are utilized to achieve port isolation better than 29 dB. The proposed technique can be used for closely spaced radiating frequencies. As no external filter is used, the structure is compact. Furthermore, because of the slot loading effect, the antenna is smaller than a recently published antenna claimed as the most compact antenna. Its working principle is discussed in detail. Finally, design guidelines are suggested. © 2018 IEEE.

IEEE Antennas and Wireless Propagation Letters

Compact Self-Diplexing Antenna Using Dual-Mode SIW Square Cavity

In the past years, there have been several attempts for the task of object localization in an image. However, most of the algorithms for object localization have been either supervised or weakly supervised. The work presented in this paper is based on the localization of a single object instance, in an image, in a fully unsupervised manner. Initially, from the input image, object proposals are generated where the proposal score for each of these proposals is calculated using a saliency map. Next, a graph by the GIST feature similarity between each pair of proposals is constructed. Density-based spatial clustering of applications with noise (DBSCAN) is used to make clusters of proposals based on GIST similarity, which eventually helps us in the final localization of the object. The setup is evaluated on two challenging benchmark datasets - PASCAL VOC 2007 dataset and object discovery dataset. The performance of the proposed approach is observed to be comparable with various state-of-the-art weakly supervised and unsupervised approaches for the problem of localization of an object. © 2019 IEEE.

25th National Conference on Communications, NCC 2019

Unsupervised GIST based clustering for object localization

Compression is an essential processing step for multimedia storage, distribution and transmission in terms of optimum resource utilization. Non-customary compression methods have become an important area for research due saturation of traditional coding based compression techniques. In this paper, we propose a novel spectrum based compression technique to further reduce the data footprint with satisfactory quality metric for the cases of video. Proposed method is based on principle that 'Any information that can be restored, can be compressed'. We blur the individual frames with a given Point Spread Function (PSF) to increase the DC component and compress using standard MPEG coder. To recover the video, we perform frame by frame deconvolution using the known blur PSF. Results obtained show further improvement of 20 to 30% in achieved compression with respect to original MPEG compressed video with satisfactory quality of recovered input. © 2019 IEEE.

GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings

A novel blurring based method for video compression

Focal Plane Ambiguity (FPA) is a fundamental limitation of the Depth from Defocus (DFD) technique and refers to ambiguity of two possible distances corresponding to a single defocus blur value. Since, mix-sided scenes exist frequently in images and image-sequences, the assumption of a one sided focused scene often does not hold true. This leads to errors in the estimated defocus map. However, the inherent ordering of defocus blurs at the edges due to chromatic aberration in the R, G and B color planes can be used to correct this ambiguity. But, in highly defocused regions the ordering of defocus blurs becomes unreliable as the detection of edges becomes erroneous. In this paper, we propose a novel region based method using Color Uniformity Principle (CUP) for detecting the ordering of defocus blurs in R, G and B color planes to resolve the FPA. © 2018 IEEE.

International Conference on Digital Signal Processing, DSP

Resolving Focal Plane Ambiguity using Chromatic Aberration and Color Uniformity Principle

Depth map estimation from Defocus is a computer vision technique which has wide applications such as constructing the 3D setup from 2D image(s), image refocusing and reconstructing 3D scenes. In this paper, we propose an application of Depth from Defocus to a novel keyboard design for detecting keystrokes. The proposed keyboard can be integrated with devices such as mobile, PC and tablets and can be generated by either printing on plain paper or by projection on a flat surface. The proposed design utilizes measured defocus together with a precalibrated relation between the defocus amount and the keyboard pattern to infer the depth, which, along with the azimuth position of the stroke identifies the key. As the proposed design does not require any other hardware besides a monocular camera, this makes the proposed approach a cost effective and feasible solution for a portable keyboard. © 2019 IEEE.

2019 IEEE Conference on Information and Communication Technology, CICT 2019

A defocus based novel keyboard design

Nowadays, various metal oxide thin films have been used for the purpose of gas sensing. This research depicts a comparison of gas sensing properties among four different metal oxide thin films, namely, tungsten dioxide (WO2), tungsten trioxide (WO3), tin oxide (SnO2) and tin doped tungsten trioxide (Sn-doped WO3), for detecting acetone gas. Each metal oxide thin film was subjected tp acetone gas flow of various concentrations and the corresponding changes in resistance were calculated. Characterizations such as x-ray diffraction (XRD), scanning electron microscopy (SEM), atomic force microscopy (AFM), and gas sensing characterization for recording resistance changes have been performed. Each film was annealed at different temperatures for 1 h (WO2 and WO3 at 500°C, SnO2 at 300°C and Sn-doped WO3 at 400°C) so as to achieve an optimum grain size for sensing. The XRD patterns reveal formation of an orthorhombic phase of WO2, hexagonal phase of WO3 and orthorhombic phase of SnO2. AFM and SEM depict clear images of grain boundaries on the film. SnO2 has been found to be the best thin film for sensing acetone gas. Operational optimum temperature for sensing acetone gas has been calculated for each thin film (260°C for WO2, 220°C for WO3, 360°C for SnO2 and 300°C for Sn-doped WO3). It can detect a very low concentration of 1.5 ppm acetone gas with a good resistance response change of 30%. Various concentrations of acetone gas, namely, 1.5 ppm, 3 ppm, 5 ppm, 7 ppm, 10 ppm, 15 ppm and 20 ppm, have been detected using these metal oxide thin films, and thus the comparison has been made. The response time for SnO2 is approximately 3 min and recovery time is approximately 4 min. © 2019, The Minerals, Metals & Materials Society.

Journal of Electronic Materials

A Comparative Study of Gas Sensing Properties of Tungsten Oxide, Tin Oxide and Tin-Doped Tungsten Oxide Thin Films for Acetone Gas Detection

The rotor shaft of a three-phase induction motor is suspended on two bearings; one on fan-side, other on load-side. This paper presents a technique to locate defective bearing based on Stockwell Transform of stator current signals. The statistical properties of Stockwell transform of current signals are used to form feature vector. Principal Component Analysis is used to extract components with high variability from this feature vector. The top principal components thus extracted, are utilized to locate the defective bearing with the help of Support Vector Machine. The proposed algorithm has been tested successfully for the bearing faults such as ball and outerrace fault. © 2018 IEEE.