Dr. Subir Biswas Profile

Dr. Subir Biswas

at Michigan State Univ

SPIE Involvement:

Author

Publications (15)

Proceedings Article | 27 March 2018 Presentation + Paper

A methodology for structural health diagnosis and assessment using machine learning with noisy and incomplete data from self-powered wireless sensors

Hadi Salehi, Saptarshi Das, Shantanu Chakrabartty, Subir Biswas, Rigoberto Burgueno

Proceedings Volume 10598, 105980X (2018) https://doi.org/10.1117/12.2295990

KEYWORDS: Sensors, Structural health monitoring, Binary data, Damage detection, Data modeling, Machine learning, Sensor networks, Data communications

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Proceedings Article | 12 April 2017 Presentation + Paper

A machine-learning approach for damage detection in aircraft structures using self-powered sensor data

Hadi Salehi, Saptarshi Das, Shantanu Chakrabartty, Subir Biswas, Rigoberto Burgueño

Proceedings Volume 10168, 101680X (2017) https://doi.org/10.1117/12.2260118

KEYWORDS: Binary data, Damage detection, Sensors, Machine learning, Pattern recognition, Sensing systems, Aircraft structures, Structural health monitoring, Image classification, Data fusion, Sensor networks, Calibration

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Proceedings Article | 20 April 2016 Presentation + Paper

Impacts of structural vibration on the performance of ultrasound sensor networks powered by vibration-harvested energy

Saptarshi Das, Yan Shi, Bo Dong, Subir Biswas

Proceedings Volume 9803, 98032G (2016) https://doi.org/10.1117/12.2219445

KEYWORDS: Sensor networks, Structural health monitoring, Ultrasonics, Energy harvesting, Binary data, Structural monitoring, Vibration simulation, Sensing systems, Sensors, Modulation, Stochastic processes

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Proceedings Article | 17 June 2014 Paper

Q-Learning and p-persistent CSMA based rendezvous protocol for cognitive radio networks operating with shared spectrum activity

Clifton Watson, Subir Biswas

Proceedings Volume 9096, 909602 (2014) https://doi.org/10.1117/12.2050224

KEYWORDS: Chromium, Plutonium, Systems modeling, Environmental sensing, Analytical research, Collision avoidance, Switches, Sensors, Defense and security, Radon

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Proceedings Article | 21 May 2014 Paper

Node localization via analyzing multi-path signals in ultrasonic sensor networks

W. Tomlinson, B. Dong, S. Lorenz, S. Biswas

Proceedings Volume 9103, 910306 (2014) https://doi.org/10.1117/12.2052984

KEYWORDS: Ultrasonography, Ultrasonics, Aluminum, MATLAB, Sensor networks, Ferroelectric materials, Signal detection, Transmitters, Linear filtering, Signal processing

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Proceedings Article | 29 May 2013 Paper

Energy-aware activity classification using wearable sensor networks

Bo Dong, Alexander Montoye, Rebecca Moore, Karin Pfeiffer, Subir Biswas

Proceedings Volume 8723, 87230Y (2013) https://doi.org/10.1117/12.2018134

KEYWORDS: Sensors, Sensor networks, Analytics, Machine learning, Neural networks, Analytical research, Target recognition, Algorithm development, Energy efficiency, Statistical analysis

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Proceedings Article | 29 May 2013 Paper

Liquid intake monitoring through breathing signal using machine learning

Bo Dong, Subir Biswas

Proceedings Volume 8723, 872315 (2013) https://doi.org/10.1117/12.2018130

KEYWORDS: Machine learning, Sensors, Signal detection, Liquids, Signal processing, Solids, Feature extraction, Structural design, Photomasks, Feature selection

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Proceedings Article | 28 May 2013 Paper

Pulse based sensor networking using mechanical waves through metal substrates

S. Lorenz, B. Dong, Q. Huo, W. Tomlinson, S. Biswas

Proceedings Volume 8753, 875306 (2013) https://doi.org/10.1117/12.2018139

KEYWORDS: Sensor networks, Ultrasonics, Wave propagation, Receivers, Transmitters, Sensors, Binary data, Aluminum, Metals, Transceivers

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Proceedings Article | 28 May 2013 Paper

Characterization of gain-aware routing in delay tolerant networks

Faezeh Hajiaghajani, Yogesh Piolet Thulasidharan, Mahmoud Taghizadeh, Subir Biswas

Proceedings Volume 8758, 87580J (2013) https://doi.org/10.1117/12.2018137

KEYWORDS: Logic, Algorithm development, Chromium, Performance modeling, Computer engineering, Composites, Mobile devices, Control systems, Current controlled current source

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Proceedings Article | 28 May 2013 Paper

ZEA-TDMA: design and system level implementation of a TDMA protocol for anonymous wireless networks

Debasmit Banerjee, Bo Dong, Subir Biswas

Proceedings Volume 8755, 87550N (2013) https://doi.org/10.1117/12.2018062

KEYWORDS: Network security, Computer security, Networks, Statistical analysis, Sensor networks, Medicine, Receivers, Defense and security, Telecommunications, Linear filtering

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Proceedings Article | 28 May 2013 Paper

Self-organized pulse switching for binary sensing and actuation

Qiong Huo, Bo Dong, Subir Biswas

Proceedings Volume 8753, 87530L (2013) https://doi.org/10.1117/12.2017975

KEYWORDS: Actuators, Sensors, Switching, Binary data, Sensor networks, Network architectures, Reliability, Receivers, Computer architecture, Clocks

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Proceedings Article | 3 April 2008 Paper

Remote monitoring of soldier safety through body posture identification using wearable sensor networks

Subir Biswas, Muhannad Quwaider

Proceedings Volume 6980, 69800G (2008) https://doi.org/10.1117/12.784263

KEYWORDS: Sensors, Sensor networks, Safety, Stochastic processes, Sensing systems, Human subjects, Visual communications, Visualization, Oxygen, Sensor technology

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The physical safety and well being of the soldiers in a battlefield is the highest priority of Incident Commanders. Currently, the ability to track and monitor soldiers rely on visual and verbal communication which can be somewhat limited in scenarios where the soldiers are deployed inside buildings and enclosed areas that are out of visual range of the commanders. Also, the need for being stealth can often prevent a battling soldier to send verbal clues to a commander about his or her physical well being. Sensor technologies can remotely provide various data about the soldiers including physiological monitoring and personal alert safety system functionality. This paper presents a networked sensing solution in which a body area wireless network of multi-modal sensors can monitor the body movement and other physiological parameters for statistical identification of a soldier's body posture, which can then be indicative of the physical conditions and safety alerts of the soldier in question. The specific concept is to leverage on-body proximity sensing and a Hidden Markov Model (HMM) based mechanism that can be applied for stochastic identification of human body postures using a wearable sensor network. The key idea is to collect relative proximity information between wireless sensors that are strategically placed over a subject's body to monitor the relative movements of the body segments, and then to process that using HMM in order to identify the subject's body postures. The key novelty of this approach is a departure from the traditional accelerometry based approaches in which the individual body segment movements, rather than their relative proximity, is used for activity monitoring and posture detection. Through experiments with body mounted sensors we demonstrate that while the accelerometry based approaches can be used for differentiating activity intensive postures such as walking and running, they are not very effective for identification and differentiation between low activity postures such as sitting and standing. We develop a wearable sensor network that monitors relative proximity using Radio Signal Strength indication (RSSI), and then construct a HMM system for posture identification in the presence of sensing errors. Controlled experiments using human subjects were carried out for evaluating the accuracy of the HMM identified postures compared to a naïve threshold based mechanism, and its variations over different human subjects. A large spectrum of target human postures, including lie down, sit (straight and reclined), stand, walk, run, sprint and stair climbing, are used for validating the proposed system.

Proceedings Article | 1 May 2007 Paper

Collaborative multi-target tracking using networked micro-robotic vehicles

Subir Biswas, Sonny Gupta, Fan Yu, Tao Wu

Proceedings Volume 6578, 657812 (2007) https://doi.org/10.1117/12.717919

KEYWORDS: Navigation systems, Detection and tracking algorithms, Algorithm development, Filtering (signal processing), Electronic filtering, Network architectures, Switching, Infrared sensors, Sensors, Switches

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Proceedings Article | 12 May 2006 Paper

An in-band self-organized MAC protocol for sensor networks

Subir Biswas, Fan Yu

Proceedings Volume 6248, 62480H (2006) https://doi.org/10.1117/12.667212

KEYWORDS: Raster graphics, Sensors, Sensor networks, Data modeling, Performance modeling, Energy efficiency, Computer simulations, Receivers, Data transmission, Data communications

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Proceedings Article | 9 May 2005 Paper

Managed traffic evacuation using distributed sensor processing

Pradeep Ramuhalli, Subir Biswas

Proceedings Volume 5769, (2005) https://doi.org/10.1117/12.599738

KEYWORDS: Sensors, Sensor networks, Actuators, Computer simulations, Signal processing, Biological detection systems, Algorithm development, Data modeling, Earthquakes, Environmental sensing

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Showing 5 of 15 publications

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