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310 results on '"Pattanaik, Manisha"'

1. Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions

Author

Shinde, Ajinkya, Sharma, Gaurav, Pattanaik, Manisha, and Singh, Sri Niwas

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

LiDAR-based sensors employing optical spectrum signals play a vital role in providing significant information about the target objects in autonomous driving vehicle systems. However, the presence of fog in the atmosphere severely degrades the overall system's performance. This manuscript analyzes the role of fog particle size distributions in 3D object detection under adverse weather conditions. We utilise Mie theory and meteorological optical range (MOR) to calculate the attenuation and backscattering coefficient values for point cloud generation and analyze the overall system's accuracy in Car, Cyclist, and Pedestrian case scenarios under easy, medium and hard detection difficulties. Gamma and Junge (Power-Law) distributions are employed to mathematically model the fog particle size distribution under strong and moderate advection fog environments. Subsequently, we modified the KITTI dataset based on the backscattering coefficient values and trained it on the PV-RCNN++ deep neural network model for Car, Cyclist, and Pedestrian cases under different detection difficulties. The result analysis shows a significant variation in the system's accuracy concerning the changes in target object dimensionality, the nature of the fog environment and increasing detection difficulties, with the Car exhibiting the highest accuracy of around 99% and the Pedestrian showing the lowest accuracy of around 73%.

Published
2024

8. Semantic Image Completion and Enhancement using Deep Learning

Author

Chandak, Vaishnav, Saxena, Priyansh, Pattanaik, Manisha, and Kaushal, Gaurav

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

In real-life applications, certain images utilized are corrupted in which the image pixels are damaged or missing, which increases the complexity of computer vision tasks. In this paper, a deep learning architecture is proposed to deal with image completion and enhancement. Generative Adversarial Networks (GAN), has been turned out to be helpful in picture completion tasks. Therefore, in GANs, Wasserstein GAN architecture is used for image completion which creates the coarse patches to filling the missing region in the distorted picture, and the enhancement network will additionally refine the resultant pictures utilizing residual learning procedures and hence give better complete pictures for computer vision applications. Experimental outcomes show that the proposed approach improves the Peak Signal to Noise ratio and Structural Similarity Index values by 2.45% and 4% respectively when compared to the recently reported data., Comment: 6 pages, 8 figures. Proceedings of "The 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)". Conference Proceedings ISBN Number: ISBN: 978-1-5386-5906-9; Link: https://ieeexplore.ieee.org/document/8944750

Published
2019
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15. BP-IMCA: An Energy-Efficient 8T SRAM-Based Bit-Parallel In-Memory Computing Architecture.

Author

Rajput, Anil Kumar, Pattanaik, Manisha, and Kaushal, Gaurav

Subjects
*DIFFERENTIAL amplifiers, *PARALLEL processing, *ENERGY consumption, *ARITHMETIC, *MULTIPLICATION
Abstract

In-Memory Computing (IMC) is an emerging paradigm that aims to shift computational workload away from CPUs. The bit-serial IMC architecture suffers from larger latency when performing logic and arithmetic operations. In this paper, a general-purpose, energy-efficient Bit Parallel IMC Architecture (BP-IMCA) based on Area-Optimized (AO-8T) static random access memory (SRAM) bit-cell is proposed to perform In-Memory Boolean Logic Computation (IMBC) and Near-Memory Arithmetic (NMA) operations with variable bit-width from 1- to 8-bit. The decoupled read/write paths of the employed AO-8T SRAM bit-cell eliminate compute disturbance during IMBC and NMA operations. A self-terminating read word line decoding scheme is proposed to disconnect the RBL discharging path from GND, which decreases the energy consumption of the proposed IMC architecture by 27.71% at 1V for IMBC operations. In addition to this, a VREF-based Low-offset Symmetric Differential Sense Amplifier (LSDSA) is proposed to achieve fast and reliable sensing for both normal read and IMBC operations in the proposed IMC architecture. Further, a 4Kb SRAM array is implemented in 65-nm technology to analyze the IMC architecture at a supply voltage of 1V. The operating frequency of 1,355MHz and average energy consumption of 7.04fJ/bit is achieved during logic (IMBC) operations. The 8-bit addition and 8-bit multiplication operations achieve an energy efficiency of 11.1 TOPS/W and 2.28 TOPS/W, respectively, at 1V and 970MHz. Cumulatively, the proposed architecture achieves the lowest figure of merit compared to the state-of-the-art IMC architectures. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Quality Driven Energy Aware Approximated Core Transform Architecture for HEVC Standard

Author

Arya, Neelam, Rajput, Anil Kumar, Pattanaik, Manisha, Sharma, G. K., Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sengupta, Anirban, editor, Dasgupta, Sudeb, editor, Singh, Virendra, editor, Sharma, Rohit, editor, and Kumar Vishvakarma, Santosh, editor

Published
2019
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23. Low Leakage Noise Tolerant 10T SRAM Cell

Author

Gupta, Vinay, Shukla, Pratiksha, Pattanaik, Manisha, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Rajaram, S., editor, Balamurugan, N.B., editor, Gracia Nirmala Rani, D., editor, and Singh, Virendra, editor

Published
2019
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24. Low Leakage Read Write Enhanced 9T SRAM Cell

Author

Shukla, Pratiksha, Gupta, Vinay, Pattanaik, Manisha, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Rajaram, S., editor, Balamurugan, N.B., editor, Gracia Nirmala Rani, D., editor, and Singh, Virendra, editor

Published
2019
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30. Design of an Area Efficient and Low Power MAC Unit

Author

Kapse, Vinod, Jain, Aashmi, Pattanaik, Manisha, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Chen, Phoebe, Editorial Board Member, Du, Xiaoyong, Editorial Board Member, Kara, Orhun, Editorial Board Member, Liu, Ting, Editorial Board Member, Sivalingam, Krishna M., Editorial Board Member, Washio, Takashi, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Unal, Aynur, editor, Nayak, Malaya, editor, Mishra, Durgesh Kumar, editor, Singh, Dharm, editor, and Joshi, Amit, editor

Published
2016
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43. An Efficient Compressed Domain Spatial Transcoding Scheme for Adaptive Video Content Delivery

Author

Khanwalkar, Nishant, Tapaswi, Shashikala, Pattanaik, Manisha, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Qiu, Guoping, editor, Lam, Kin Man, editor, Kiya, Hitoshi, editor, Xue, Xiang-Yang, editor, Kuo, C.-C. Jay, editor, and Lew, Michael S., editor

Published
2010
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