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298 results on '"Karar, Vinod"'

2. Prediction Analysis of Optical Tracker Parameters using Machine Learning Approaches for efficient Head Tracking

Author

Kataria, Aman, Ghosh, Smarajit, and Karar, Vinod

Subjects
Computer Science - Networking and Internet Architecture, Computer Science - Machine Learning
Abstract

A head tracker is a crucial part of the head mounted display systems, as it tracks the head of the pilot in the plane/cockpit simulator. The operational flaws of head trackers are also dependent on different environmental conditions like different lighting conditions and stray light interference. In this letter, an optical tracker has been employed to gather the 6-DoF data of head movements under different environmental conditions. Also, the effect of different environmental conditions and variation in distance between the receiver and optical transmitter on the 6-DoF data was analyzed., Comment: 7 Pages, 9 Figures, 7 tables

Published
2021
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3. Experimental Analysis of Two-Wheeler Headlight Illuminance Data from the Perspective of Traffic Safety

Author

Gola, Aditya, Dharmapuri, Chandra Mohan, Chakraborty, Neelima, Velmurugan, S., Karar, Vinod, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Swaroop, Abhishek, editor, Polkowski, Zdzislaw, editor, Correia, Sérgio Duarte, editor, and Virdee, Bal, editor

Published
2023
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5. Threats and Corrective Measures for IoT Security with Observance of Cybercrime: A Survey

Author

Rani, Sita, Kataria, Aman, Sharma, Vishal, Ghosh, Smarajit, Karar, Vinod, Lee, Kyungroul, and Choi, Chang

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Internet of Things (IoT) is the utmost assuring framework to facilitate human life with quality and comfort. IoT has contributed significantly to numerous application areas. The stormy expansion of smart devices and their credence for data transfer using wireless mechanics boosts their susceptibility to cyber-attacks. Consequently, the rate of cybercrime is increasing day by day. Hence, the study of IoT security threats and possible corrective measures can benefit the researchers to identify appropriate solutions to deal with various challenges in cybercrime investigation. IoT forensics plays a vital role in cybercrime investigations. This review paper presents an overview of the IoT framework consisting of IoT architecture, protocols, and technologies. Various security issues at each layer and corrective measures are also discussed in detail. This paper also presents the role of IoT forensics in cybercrime investigation in various domains like smart homes, smart cities, automated vehicles, healthcare, etc. Along with the role of advanced technologies like Artificial Intelligence, Machine Learning, Cloud computing, Edge computing, Fog computing, and Blockchain technology in cybercrime investigation are also discussed. At last, various open research challenges in IoT to assist cybercrime investigation are explained, which provide a new direction for further research., Comment: 39 pages

Published
2020

6. Joint Forward-Backward Visual Odometry for Stereo Cameras

Author

Sardana, Raghav, Kottath, Rahul, Karar, Vinod, and Poddar, Shashi

Subjects
Computer Science - Robotics, Computer Science - Computer Vision and Pattern Recognition
Abstract

Visual odometry is a widely used technique in the field of robotics and automation to keep a track on the location of a robot using visual cues alone. In this paper, we propose a joint forward backward visual odometry framework by combining both, the forward motion and backward motion estimated from stereo cameras. The basic framework of LIBVIOS2 is used here for pose estimation as it can run in real-time on standard CPUs. The complementary nature of errors in the forward and backward mode of visual odometry helps in providing a refined motion estimation upon combining these individual estimates. In addition, two reliability measures, that is, forward-backward relative pose error and forward-backward absolute pose error have been proposed for evaluating visual odometry frameworks on its own without the requirement of any ground truth data. The proposed scheme is evaluated on the KITTI visual odometry dataset. The experimental results demonstrate improved accuracy of the proposed scheme over the traditional odometry pipeline without much increase in the system overload., Comment: Accepted to Advances in Robotics 2019

Published
2019
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7. Digitized Visual Fatigue Detection for Humanizing Digital Work Environments

Author

Kalra, Prerita, Karar, Vinod, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Chakrabarti, Debkumar, editor, Karmakar, Sougata, editor, and Salve, Urmi R., editor

Published
2022
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11. Evolution of Visual Odometry Techniques

Author

Poddar, Shashi, Kottath, Rahul, and Karar, Vinod

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

With rapid advancements in the area of mobile robotics and industrial automation, a growing need has arisen towards accurate navigation and localization of moving objects. Camera based motion estimation is one such technique which is gaining huge popularity owing to its simplicity and use of limited resources in generating motion path. In this paper, an attempt is made to introduce this topic for beginners covering different aspects of vision based motion estimation task. The evolution of VO schemes over last few decades is discussed under two broad categories, that is, geometric and non-geometric approaches. The geometric approaches are further detailed under three different classes, that is, feature-based, appearance-based, and a hybrid of feature and appearance based schemes. The non-geometric approach is one of the recent paradigm shift from conventional pose estimation technique and is thus discussed in a separate section. Towards the end, a list of different datasets for visual odometry and allied research areas are provided for a ready reference., Comment: 12 pages, 0 figure

Published
2018
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13. Independent Learning of Motion Parameters for Deep Visual Odometry

Author

Kottath, Rahul, Kaw, Rishab, Poddar, Shashi, Bhondekar, Amol P., Karar, Vinod, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Gunjan, Vinit Kumar, editor, and Zurada, Jacek M., editor

Published
2021
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16. Analysis of a Data Acquisition System for a Compact Electronic Nose

Author

Chowdhury, Shambo Roy, Bhondekar, Amol P., Bagchi, Sudeshna, Karar, Vinod, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Kundu, Sumit, editor, Acharya, U. Shripathi, editor, De, Chanchal Kr., editor, and Mukherjee, Surajit, editor

Published
2020
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19. Feasibility Study on Machining of Niobium to Achieve Nanometric Surface Finish

Author

Sanmotra, Harsh, Mishra, Vinod, Gangwar, Sukhdev, Singh, Gagandeep, Singh, Rajbir, Garg, Harry, Karar, Vinod, Chaari, Fakher, Series Editor, Haddar, Mohamed, Series Editor, Kwon, Young W., Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Singh, Sunpreet, editor, Prakash, Chander, editor, Ramakrishna, Seeram, editor, and Krolczyk, Grzegorz, editor

Published
2020
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20. Descriptor-Length Kalambe, Shrijay S. Reduction Rufus, Elizabeth Using Low-Variance Karar, Vinod Filter Poddar, Shashi for Visual Odometry

Author

Kalambe, Shrijay S., Rufus, Elizabeth, Karar, Vinod, Poddar, Shashi, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Chaudhuri, Bidyut B., editor, Nakagawa, Masaki, editor, Khanna, Pritee, editor, and Kumar, Sanjeev, editor

Published
2020
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21. Fractional Order Extended Kalman Filter for Attitude Estimation

Author

Sharma, Nimmi, Rufus, Elizabeth, Karar, Vinod, Poddar, Shashi, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Cherukuri, Aswani Kumar, editor, and Gandhi, Niketa, editor

Published
2020
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29. Experimental investigation of chemical mechanical polishing (CMP) process parameters through polishing of optical glass.

Author

Parashar, Aparajita, Kumar, Manoj, Pal, Raj Kumar, and Karar, Vinod

Subjects
OPTICAL glass, FUSED silica, RELATIVE velocity, OPTICAL materials, SURFACE roughness, CERIUM oxides
Abstract

Due to the high precision and surface accuracy, optical quartz glass's chemical mechanical polishing (CMP) is a challenge. Quartz glass, also known as fused silica (SiO2), is a popular optical material due to its high transmission range, hardness, strength, and chemically inertness properties. This work studied the effect of normal load and spindle speed on the material removal rate (MRR) and surface roughness (Ra) of fused silica glass. The MRR and roughness values of the quartz glass workpiece are evaluated by the chemical and mechanical action of cerium oxide abrasives due to the application of normal load and velocity. Further, pressure and relative velocity values are used to understand and verify Preston's Theory. The MRR has been estimated based on the weight difference of the quartz glass before and after polishing. Surface roughness (Ra) values are measured using Taylor-Hobson Phase Grating Interferometer. The minimum value for surface roughness achieved is 9.4 nm, and the corresponding value of MRR is 50.226 nm/minute. It is also observed that MRR is greatly affected by the normal load applied and spindle speed compared to the surface roughness of the workpiece. The plot shows the linear relation of MRR with the normal load. MRR is directly proportional to the PV (Pressure x Relative Velocity) values which show the validity of Preston's equation. [ABSTRACT FROM AUTHOR]

Published
2024
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33. Flexible Threshold Visual Odometry Algorithm Using Fuzzy Logics

Author

Mahajan, Rahul, Vivekananda Shanmuganathan, P., Karar, Vinod, Poddar, Shashi, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Chaudhuri, Bidyut B., editor, Kankanhalli, Mohan S., editor, and Raman, Balasubramanian, editor

Published
2018
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