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2019

A machine learning method integrating neural networks and Gaussian processes for LOCA identification in BWR

Alamaniotis, M. & Ray, A., Jan 1 2019, 11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019. American Nuclear Society, p. 431-439 9 p. (11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Loss of coolant accidents
Boiling liquids
Learning systems
Neural networks
Feedforward neural networks
1 Citation (Scopus)

Dynamic Data-Driven Combustor Design for Mitigation of Thermoacoustic Instabilities

Chattopadhyay, P., Mondal, S., Ray, A. & Mukhopadhyay, A., Jan 1 2019, In : Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME. 141, 1, 014501.

Research output: Contribution to journalArticle

Thermoacoustics
combustion chambers
Combustors
System stability
pressure oscillations

Early Detection of Thermoacoustic Instabilities Using Hidden Markov Models

Mondal, S., Ghalyan, N. F., Ray, A. & Mukhopadhyay, A., Aug 3 2019, In : Combustion science and technology. 191, 8, p. 1309-1336 28 p.

Research output: Contribution to journalArticle

Thermoacoustics
Hidden Markov models
pressure oscillations
active control
combustion chambers
Time series analysis
decision making
Time series
time series analysis
Decision making

Improving the capability of detecting joints and fractures in rock mass from roof bolt drilling data by using wavelet analysis

Liu, W., Saab, S. S., Rostami, J. & Ray, A., Jan 1 2019, In : International Journal of Oil, Gas and Coal Technology. 20, 1, p. 97-112 16 p.

Research output: Contribution to journalArticle

Wavelet analysis
Bolts
Roofs
Drilling
Rocks

Modeling of microscope images for early detection of fatigue cracks in structural materials

Ghalyan, N. F., Ghalyan, I. F. & Ray, A., Oct 1 2019, In : International Journal of Advanced Manufacturing Technology. 104, 9-12, p. 3899-3913 15 p.

Research output: Contribution to journalArticle

Crack detection
Microscopes
Cracks
Support vector machines
Polycrystalline materials
1 Citation (Scopus)

Neural network-based learning from demonstration of an autonomous ground robot

Fu, Y., Jha, D. K., Zhang, Z., Yuan, Z. & Ray, A., Jun 1 2019, In : Machines. 7, 2, 24.

Research output: Contribution to journalArticle

Open Access
Imitation
Demonstrations
Robot
Robots
Neural Networks

Sequential hypothesis tests for streaming data via symbolic time-series analysis

Virani, N., Jha, D. K., Ray, A. & Phoha, S., May 1 2019, In : Engineering Applications of Artificial Intelligence. 81, p. 234-246 13 p.

Research output: Contribution to journalArticle

Time series analysis
Time series
Dynamical systems
Statistics
Testing

State-space representations of deep neural networks

Hauser, M., Gunn, S., Saab, S. & Ray, A., Mar 1 2019, In : Neural computation. 31, 3, p. 538-554 17 p.

Research output: Contribution to journalArticle

Neural Networks
Equations
Layer
Simulation
Letters
2018
1 Citation (Scopus)
Cluster Analysis
Entropy
Anomaly
Joints
Symbol
1 Citation (Scopus)
video data
boiling
Boiling liquids
vessels
Fluids
1 Citation (Scopus)
bolt
Bolts
Roofs
roof
Drilling
1 Citation (Scopus)

Bayesian nonparametric modeling of categorical data for information fusion and causal inference

Xiong, S., Fu, Y. & Ray, A., Jun 1 2018, In : Entropy. 20, 6, 396.

Research output: Contribution to journalArticle

combustion chambers
inference
factorization
economics
regression analysis

Bayesian Nonparametric Regression Modeling of Panel Data for Sequential Classification

Xiong, S., Fu, Y. & Ray, A., Sep 1 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 9, p. 4128-4139 12 p., 8066450.

Research output: Contribution to journalArticle

Parameter estimation
Pattern recognition
Computer simulation
Testing
1 Citation (Scopus)
Thermoacoustics
Time series
Finite automata
combustion stability
gas turbine engines
1 Citation (Scopus)

Imitation of Demonstrations Using Bayesian Filtering with Nonparametric Data-Driven Models

Virani, N., Jha, D. K., Yuan, Z., Shekhawat, I. & Ray, A., Mar 1 2018, In : Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME. 140, 3, 030906.

Research output: Contribution to journalArticle

Demonstrations
Dynamic models
dynamic models
learning
Remote control
4 Citations (Scopus)

Information-Theoretic Performance Analysis of Sensor Networks via Markov Modeling of Time Series Data

Li, Y., Jha, D. K., Ray, A. & Wettergren, T. A., Jun 1 2018, In : IEEE Transactions on Cybernetics. 48, 6, p. 1898-1909 12 p.

Research output: Contribution to journalArticle

Sensor networks
Time series
Sensors
Information fusion
Target tracking

Learning from Multiple Imperfect Instructors in Sensor Networks

Virani, N., Phoha, S. & Ray, A., Oct 1 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 10, p. 5166-5172 7 p., 8278847.

Research output: Contribution to journalArticle

Sensor networks
Sensors
Labels
Classifiers
2 Citations (Scopus)
forecasting
alphabets
Time series
Probability distributions
autoregressive moving average
1 Citation (Scopus)

Study of vapor film dynamics and heat transfer through an image processing technique

Beck, F., Virani, N., Mohanta, L., Sohag, F. A., Ray, A. & Cheung, F. B., Oct 1 2018, In : International Journal of Heat and Mass Transfer. 125, p. 1310-1320 11 p.

Research output: Contribution to journalArticle

film boiling
Boiling liquids
image processing
Image processing
heat transfer
3 Citations (Scopus)

Symbolic analysis-based reduced order Markov modeling of time series data

Jha, D. K., Virani, N., Reimann, J. S., Srivastav, A. & Ray, A., Aug 1 2018, In : Signal Processing. 149, p. 68-81 14 p.

Research output: Contribution to journalArticle

Time series
Bearings (structural)
Data storage equipment
Hamming distance
Finite automata
2017
1 Citation (Scopus)

A locally optimal algorithm for estimating a generating partition from an observed time series

Miller, D. J., Ghalyan, N. F. & Ray, A., Dec 5 2017, 2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Proceedings. Ueda, N., Chien, J-T., Matsui, T., Larsen, J. & Watanabe, S. (eds.). IEEE Computer Society, p. 1-6 6 p. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2017-September).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
Dynamical systems
Vector quantization
Entropy
3 Citations (Scopus)

An image processing technique for the study of vapor film dynamics during quenching of a downward facing hemisphere

Beck, F., Virani, N., Mohanta, L., Sohag, F. A., Ray, A. & Cheung, F. B., Jan 1 2017.

Research output: Contribution to conferencePaper

film boiling
hemispheres
Boiling liquids
vessels
image processing

Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions

Liu, W., Ray, A., Rostami, J. & Saab, S. S., Jan 1 2017, Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017. Murphy, M., Mishra, B., Perry, K. & Lawson, H. (eds.). Society for Mining, Metallurgy and Exploration (SME), p. 297-303 7 p. (Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Roofs
roof
Drilling
Rocks
drilling
1 Citation (Scopus)

Bayesian nonparametric modeling of Markov chains for detection of thermoacoustic instabilities

Xiong, S., Li, J. & Ray, A., Jun 29 2017, 2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., p. 3758-3763 6 p. 7963530

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Thermoacoustics
Markov processes
Time series
Finite automata
Pressure measurement

Distributed modular supervisory control of integrated aircraft propulsion, power, and thermal systems: An overview

Pakmehr, M., Behbahani, A. & Ray, A., Jan 1 2017, 53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017. American Institute of Aeronautics and Astronautics Inc, AIAA

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Aircraft propulsion
Discrete event simulation
Propulsion
Integrated control
Hot Temperature
4 Citations (Scopus)

Dynamic Data-Driven Design of Lean Premixed Combustors for Thermoacoustically Stable Operations

Chattopadhyay, P., Mondal, S., Bhattacharya, C., Mukhopadhyay, A. & Ray, A., Nov 1 2017, In : Journal of Mechanical Design, Transactions Of the ASME. 139, 11, 111419.

Research output: Contribution to journalArticle

Combustors
Thermoacoustics
Time series
Specifications
Temperature

Dynamic data-driven stability map prediction in combustion systems

Chattopadhyay, P., Mondal, S., Mukhopadhyay, A. & Ray, A., Jan 1 2017, 53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017. American Institute of Aeronautics and Astronautics Inc, AIAA, (53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Combustors
Thermoacoustics
System stability
Time series
Experiments
2 Citations (Scopus)

DYNAMIC MODELING OF FLUIDIZED BED BOILERS FOR CONTROL SYSTEM DESIGN.

Berkowitz, D. A., Ray, A. & Sumaria, V., Jan 1 2017, In : Proceedings of the Intersociety Energy Conversion Engineering Conference. p. 765-771 7 p.

Research output: Contribution to journalConference article

Fluidized beds
Boilers
Systems analysis
Control systems
Pulverized fuel
13 Citations (Scopus)

Information Fusion of Passive Sensors for Detection of Moving Targets in Dynamic Environments

Li, Y., Jha, D. K., Ray, A. & Wettergren, T. A., Jan 1 2017, In : IEEE Transactions on Cybernetics. 47, 1, p. 93-104 12 p., 7425211.

Research output: Contribution to journalArticle

Information fusion
Target tracking
Sensors
Distance measurement
Feature extraction
2 Citations (Scopus)

Lean blowout (LBO) prediction through symbolic time series analysis

Sen, S., Sarkar, S., Chaudhari, R. R., Mukhopadhyay, A. & Ray, A., Jan 20 2017, Combustion for Power Generation and Transportation: Technology, Challenges and Prospects. Springer Singapore, p. 153-167 15 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Time series analysis
Combustors
Time series
Finite automata
Air

Prediction of thermoacoustic instabilities in a premixed combustor based on FFT-based dynamic characterization

Mondal, S., Bhattacharya, C., Chattopadhyay, P., Mukhopadhyay, A. & Ray, A., Jan 1 2017, 53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017. American Institute of Aeronautics and Astronautics Inc, AIAA, (53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Thermoacoustics
Combustors
Fast Fourier transforms
Monitoring
Visibility
4 Citations (Scopus)

Principles of riemannian geometry in neural networks

Hauser, M. & Ray, A., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 2808-2817 10 p.

Research output: Contribution to journalConference article

Neural networks
Geometry
Differential equations
Lie groups
Tensors
1 Citation (Scopus)

Probabilistic forecasting of symbol sequences with deep neural networks

Hauser, M., Fu, Y., Li, Y., Phoha, S. & Ray, A., Jun 29 2017, 2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., p. 3147-3152 6 p. 7963431

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
Combustors
Deep neural networks
Entropy
Statistics
6 Citations (Scopus)

Unsupervised symbolization of signal time series for extraction of the embedded information

Li, Y. & Ray, A., Jan 1 2017, In : Entropy. 19, 4, 148.

Research output: Contribution to journalArticle

time signals
strings
experimentation
marking
requirements
2016
2 Citations (Scopus)

Data-driven anytime algorithms for motion planning with safety guarantees

Jha, D. K., Zhu, M., Wang, Y. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 5716-5721 6 p. 7526565. (Proceedings of the American Control Conference; vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Motion planning
Learning systems
Learning algorithms
Robotics
Controllers
2 Citations (Scopus)

Data-driven robot gait modeling via symbolic time series analysis

Seto, Y., Takahashi, N., Jha, D. K., Virani, N. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 3904-3909 6 p. 7525522. (Proceedings of the American Control Conference; vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series analysis
Robots
Hybrid systems
Time series
9 Citations (Scopus)

Dynamic data-driven and model-based recursive analysis for estimation of battery state-of-charge

Li, Y., Chattopadhyay, P., Xiong, S., Ray, A. & Rahn, C. D., Dec 15 2016, In : Applied Energy. 184, p. 266-275 10 p.

Research output: Contribution to journalArticle

Time series
time series
Lead acid batteries
Time series analysis
Electric potential
16 Citations (Scopus)

Dynamic data-driven prediction of instability in a swirl-stabilized combustor

Sarkar, S., Chakravarthy, S. R., Ramanan, V. & Ray, A., Dec 1 2016, In : International Journal of Spray and Combustion Dynamics. 8, 4, p. 235-253 19 p.

Research output: Contribution to journalArticle

combustion stability
combustion chambers
Combustors
acoustic instability
flow velocity
2 Citations (Scopus)

Information-space partitioning and symbolization of multi-dimensional time-series data using density estimation

Virani, N., Lee, J. W., Phoha, S. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 3328-3333 6 p. 7525431. (Proceedings of the American Control Conference; vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
Testbeds
1 Citation (Scopus)

Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities

Sarkar, S., Jha, D. K., Lore, K. G., Sarkar, S. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 4918-4923 6 p. 7526132. (Proceedings of the American Control Conference; vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Information fusion
Bayesian networks
Time series
Combustors
Gas turbines
72 Citations (Scopus)

Multimodal task-driven dictionary learning for image classification

Bahrampour, S., Nasrabadi, N. M., Ray, A. & Jenkins, W. K., Jan 2016, In : IEEE Transactions on Image Processing. 25, 1, p. 24-38 15 p., 7312977.

Research output: Contribution to journalArticle

Image classification
Glossaries
Learning algorithms
Face recognition
Fusion reactions
6 Citations (Scopus)

Path planning in GPS-denied environments via collective intelligence of distributed sensor networks

Jha, D. K., Chattopadhyay, P., Sarkar, S. & Ray, A., May 3 2016, In : International Journal of Control. 89, 5, p. 984-999 16 p.

Research output: Contribution to journalArticle

Motion planning
Sensor networks
Global positioning system
Wireless networks
Robots
6 Citations (Scopus)

Real-time combustion state identification via image processing: A dynamic data-driven approach

Hauser, M., Li, Y., Li, J. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 3316-3321 6 p. 7525429. (Proceedings of the American Control Conference; vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image processing
Feature extraction
High speed cameras
Finite automata
Fractal dimension
1 Citation (Scopus)

Real-time identification of state-of-charge in battery systems: Dynamic data-driven estimation with limited window length

Chattopadhyay, P., Li, Y. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 4907-4912 6 p. 7526130. (Proceedings of the American Control Conference; vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dynamical systems
Lead acid batteries
Finite automata
Time series
Electric potential
1 Citation (Scopus)

Sensor selection for passive sensor networks in dynamic environment: A dynamic data-driven approach

Li, Y., Jha, D. K., Ray, A. & Wettergren, T. A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 4924-4929 6 p. 7526133. (Proceedings of the American Control Conference; vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sensor networks
Sensors
Time series
Finite automata
Target tracking

Sparse representation for time-series classification

Bahrampour, S., Nasrabadi, N. M. & Ray, A., Dec 15 2016, Pattern Recognition and Big Data. World Scientific Publishing Co. Pte Ltd, p. 199-215 17 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Time series
Feature extraction
Information fusion
Finite automata
Glossaries
2 Citations (Scopus)

Symbolization of dynamic data-driven systems for signal representation

Sarkar, S., Chattopdhyay, P. & Ray, A., Nov 1 2016, In : Signal, Image and Video Processing. 10, 8, p. 1535-1542 8 p.

Research output: Contribution to journalArticle

Time series
Finite automata
Chemiluminescence
Time series analysis
Combustors
2015
4 Citations (Scopus)

Alphabet size selection for symbolization of dynamic data-driven systems: An information-theoretic approach

Sarkar, S., Chattopdhyay, P., Ray, A., Phoha, S. & Levi, M., Jul 28 2015, ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-July. p. 5194-5199 6 p. 7172150

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
Information systems
Time series analysis
Finite automata
Chemiluminescence
9 Citations (Scopus)

Depth estimation in Markov models of time-series data via spectral analysis

Jha, D. K., Srivastav, A., Mukherjee, K. & Ray, A., Jul 28 2015, ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc., p. 5812-5817 6 p. 7172250. (Proceedings of the American Control Conference; vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Spectrum analysis
Time series
Finite automata
Dynamical systems
Decomposition