Bin Rao

National University of Defense Technology

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Co-Authors

V. Kamakoti

Indian Institute of Technology Madras

Muthukaruppan Annamalai

Meta (United States)

Suresh Sundaram

Indian Institute of Science Bangalore

Manuj Sharma

Primary Health Care

RAVI KANT GUPTA

National Dairy Research Institute

Permandla Pratibha

Indian Institute of Technology Madras

Xiaoxia Xie

National University of Defense Technology

Zhiyu Zhou

Zhejiang Sci-Tech University

Anupam Mandal

Jawaharlal Nehru University

G. Athithan

Centre for Artificial Intelligence and Robotics

Cooperative Institutions

Indian Institute of Technology Madras

Indian Institute of Technology Indore

University College London

Georgia Institute of Technology

Indian Institute of Science Bangalore

Defence Research and Development Organisation

Centre for Artificial Intelligence and Robotics

Advanced Numerical Research and Analysis Group

Primary Health Care

Central University of Himachal Pradesh

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Design and implementation of remote heart monitoring terminal based on UCOS

CRC Press eBooks (2015)

Bin Rao

10.1201/b18568-22

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An Evolutionary Algorithm for Automatic Spatial Partitioning in Reconfigurable Environments

Lecture notes in computer science (2004)

Permandla Pratibha Bin Rao Muthukaruppan Annamalai Suresh Sundaram V. Kamakoti

Reconfigurable Computing

Graph partition

10.1007/978-3-540-24694-7_76

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Citations (1)

VME Bus-Based Memory Channel Architecture for High Performance Computing

Lecture notes in computer science (1999)

Manuj Sharma Anupam Mandal Bin Rao G. Athithan

VMEbus

Message Passing Interface

Computer cluster

Interface (matter)

10.1007/978-3-540-46642-0_7

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SDL Based Auto Code Generation: A Multi Beneficial Approach.

System Analysis and Modeling (2000)

Bin Rao

Code (set theory)

Source

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An artificial neural network guided parallel genetic approach to the routing problem for field programmable gate arrays

Muthukaruppan Annamalai Suresh Sundaram Bin Rao V. Kamakoti

This paper introduces the concept of "artificially intelligent parallel genetic algorithms", in the form of an artificial neural network, to provide a solution for the routing problem for FPGAs.

Physical neural network

10.1109/iconip.2002.1201975

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T2: HW-SW Codesign

International Conference on VLSI Design (1997)

P. V. Subrahmanyam RAVI KANT GUPTA Bin Rao

10.1109/vlsid.1997.10011

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The influence mechanism of UAV group on the detection performance of air defense radar

Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018) (2018)

Zhiyu Zhou Bin Rao Xiaoxia Xie

This paper investigates the detection performance of densely unmanned aerial vehicle (UAV) group on the air defense radar.The keystone is that multiple UAVs frequently fly in adjacent range resolution cell and usually locate in the same beam cell that inevitably has influence on the angle resolution capability of tradditional radar.Firstly, the monopulse angle estimation of unresolved targets is presented, this is inherently the classic dual source jamming model.Sencondly, to show the merging phenomenon of angle estimation, the probabilty density distribution related to multiple observations and different Swerling targets is given.Finally, a simulation involving parallel, cross and random flight trajectories on the detection performance of radar is given.It is found that when the number of UAV increases, or the spatial distribution of UAVs becomes denser, the probability of measurement merging increases.It is also found that if the beam width of radar increases, or the bandwidth of the radar signal decreases, the probability of measurement merging increases.

10.2991/amcce-18.2018.59

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Citations (2)