Manufacturing Dispatching using Reinforcement and Transfer Learning European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2019
Shuai Zheng, Chetan Gupta, Susumu Serita
FPGAN: Generative Adversarial Networks for Prognostics Failure Prediction European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2019
Shuai Zheng, Ahmed Farahat, Chetan Gupta
Regularized Operating Envelope with Interpretability and Implementability Constraints IEEE International Conference on Big Data, 2019 Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita
Evaluation of Event Impact on Key Performance Indicators IEEE International Conference on Machine Learning and Applications (ICMLA), 2019
Qiyao Wang, Ahmed Farahat, Chetan Gupta, Shuai Zheng
Risk-based Dynamic Pricing via Failure Prediction IEEE International Conference on Machine Learning and Applications (ICMLA), 2019
Chi Zhang, Chetan Gupta, Seiji Joichi, Ahmed Farahat, Huijuan Shao
Multivariate Bernoulli Logit-Normal Model for Failure Prediction Annual Conference of the PHM Society, 2019
Huijuan Shao, Xinwei Deng, Chi Zhang, Shuai Zheng, Hamed Khorasgani, Ahmed Farahat, Chetan Gupta
Trace Norm Generative Adversarial Networks for Sensor Generation and Feature Extraction IEEE International Conference on Acoustics, Speech and Signal Processing, 2020
Shuai Zheng, Chetan Gupta
Discriminant Generative Adversarial Networks with its Application to Equipment Health Classification IEEE International Conference on Acoustics, Speech and Signal Processing, 2020
Shuai Zheng, Chetan Gupta
Building Chatbots from Large Scale Domain-Specific Knowledge bases: Challenges and Opportunities IEEE International Conference on Prognostics and Health Management (ICPHM), 2020
Walid Shalaby, Adriano Arantes, Teresa GonzaleDiaz, Chetan Gupta
Health Indicator Forecasting for Improving Remaining Useful Life Estimation IEEE International Conference on Prognostics and Health Management (ICPHM), 2020
Qiyao Wang, Ahmed Farahat, Chetan Gupta, Haiyan Wang
Remaining Useful Life Estimation Using Functional Data Analysis IEEE International Conference on Prognostics and Health Management (ICPHM), 2019
Qiyao Wang, Shuai Zheng, Ahmed Farahat, Susumu Serita, Chetan Gupta
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks IEEE International Conference on Prognostics and Health Management (ICPHM), 2019
Hamed Khorasgani, Arman Hasanzadeh Moghimi, Ahmed Farahat, Chetan Gupta
Multilayer Perceptron for Sparse Functional Data International Joint Conference on Neural Networks (IJCNN), 2019
Qiyao Wang, Shuai Zheng, Ahmed Farahat, Susumu Serita, Takashi Saeki, Chetan Gupta
Maximizing SLU Performance with Minimal Training Data Using Hybrid RNN Plus Rule-based Approach, Special Interest Group on Discourse and Dialogue - SIGDIAL 2018 Adriano S. Arantes, Takeshi Homma, Maria Teresa Gonzalez Diaz, Masahito Togami
Equipment Health Indicator Learning Using Deep Reinforcement Learning ECML/PKDD, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, June 14, 2018. Chi Zhang, Chetan Gupta, Ahmed Farahat, Kosta Ristovski
What Maintenance is Worth the Money? A Data-Driven Answer INDIN2018, May 18, 2018. Qiyao Wang, Ahmed Farahat, Kosta Ristovski, Hsiu-Khuern Tang, Susumu Serita, Chetan Gupta
A Framework for Unifying Model-based and Data-driven Fault Diagnosis PHM Society Conference2018, August 2018. Chi Zhang, Chetan Hamed Khorasgani, Ahmed Farahat, Kosta Ristovski, Chetan Gupta, Gautam Biswas
Remaining Useful Life Estimation for Systems with Abrupt Failures PHM Society Conference 2018, August 2018. Wei Huang, Hamed Khorasgani, Chetan Gupta, Ahmed Farahat, Shuai Zheng
Two Birds with One Network: Unifying Event Prediction and Time-to-failure Modeling IEEE International Conference on Big Data, October 16, 2018. Chi Zhang, Karan Aggarwal
Long Short-term Memory Network for Remaining Useful Life Estimation IEEE International Conference on Prognostics and Health Management (ICPHM), 2017. Shuai Zheng, Kosta Ristovski, Ahmed Farahat, Chetan Gupta
Dispatch with Confidence: Integration of Machine Learning, Optimization and Simulation for Open Pit Mines The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017. Kosta Ristovski, Chetan Gupta, Kunihiko Harada, Hsiu-Khuern Tang
Deep Learning Approach for Uncertainty Estimation in Prognostics The 2nd ACM SIGKDD Workshop on Machine Learning for Prognostics and Health Management (ML for PHM), 2017. Dipanjan Ghosh, Kosta Ristovski, Chetan Gupta
Analytics-Driven Industrial Big Data Applications. Journal of Japan Industrial Management Association, 25(2), 96-105. Gupta, C., et. al.
Long Short-Term Memory Network for Remaining Useful Life Estimation. In Prognostics and Health Management (PHM), 2017 IEEE Conference on. IEEE. Zheng, S., Ristovski, K., Farahat, A., Gupta, C.
Dispatch with Confidence: Integration of Machine Learning, Optimization and Simulation for Open Pit Mines.International conference on knowledge discovery and data mining (KDD). Ristovski, K., Gupta, C., Harada K., & Tang, H-K. (2017).
Collaborative Creation with Customers for Predictive Maintenance Solutions on Hitachi IoT Platform. Hitachi Review, 2016, 65(9), 403. Gupta, C., Farahat, A., Hiruta, T., Ristovski, K., & Dayal, U.
An Approach to Benchmarking Industrial Big Data Applications. In Proc. of Workshop on Big Data Benchmarks (WBDB 2014), 45-60. Dayal, U., Gupta, C., Vennelakanti, R., Vieira, M., & Wang, S. (2015).
Expanding Global Big Data Solutions with Innovative Analytics. Hitachi Review, 2014, 96(4), 259-265. Dayal, U., Akatsu, M., Gupta, C., Vennelakanti R., Lenardi, M.
Automotive
Effect of In-Built Anisotropic/Heterogeneous Material Properties on Machinability in Drilling of Stainless Steel, SME North American Manufacturing Research Conference (NAMRC) 2019, Chandra Nath, Lili Zheng, Wei Yuan
A Python-based Generic Optimization Framework for Motor Design Problems, Motor-CAD North America User Conference 2019, October 2019, Zhiyi Su
Integrated Steering and Braking Control System for Collision Avoidance by Using Virtual Repulsive Force Field Method ASME 2018 Dynamic Systems and Control Conference, Volume 2, ISBN: 978-0-7918-5190-6. Atsushi Yokoyama, Pongsathorn Raksincharoensak, Naoto Yoshikawa
Collision Avoidance Control on 2D Planar Motion Based on Vitual Repulsive Force Field J-STAGE, 2018 Volume 49 Issue 2 Pages 353-358, ISSN: 0287-8321. Atsushi Yokoyama, Pongsathorn Raksincharoensak, Naoto Yoshikawa
Collision Avoidance Control System by Using Virtual Repulsive Force Field Method 14th international symposium on advanced vehicle control (2018), Atsushi Yokoyama, Pongsathorn Raksincharoensak, Naoto Yoshikawa
Mechanical Performance of Friction Stir Linear Welds of AI to Mg Alloys SAE Technical Paper 2017-01-0467, 2017. Yuan, W., Jordon, B., Ghaffari, B., Rao, H. et al.
Exactness of alternative force estimation methods and applications to power flow and transfer path analysis, The Journal of the Acoustical Society of America, Volume 141 issue 3, EL255 (2017). Akira Inuoe
Microstructure and mechanical behaviours of friction stir welded dissimilar alloys and materials, 11th International symposium on friction stir welding(2016). Wei Yuan, Lili Zheng and Harsha Badarinarayan
An Application of the Particle Velocity Transfer Path Analysis SAE International Journal of Alternative Powertrains, 2013-01-1999. Akira Inoue, Yosuke Tanabe and Masanori Watanabe
Development of Particle Velocity Transfer Path Analysis Proceeding of Internoise 2012 & ASME NCAD meeting, 2012, IN12_1018. Akira Inoue and Yosuke Tanabe
Controlling the Direction of Sound Intensity Based on Sound Intensity Transfer Path Analysis Proceeding of AES 48th International Conference,2012. Yosuke Tanabe and Akira Inoue.
Application of Sound Intensity Transfer Path Analysis to a Booming Sound in Vehicle Interior Proceeding of Internoise2013. Yosuke Tanabe and Akira Inoue.
A Review of Power Flow Formulation as Dissipated Power in Vibratory Systems proceeding of 20th International Congress on Sound & Vibration, 2013. Akira Inoue and Yosuke Tanabe
Acoustic sound source identification in a Gasoline DI pump for high pressure fuel flows SME 2014 4th Joint US-European Fluids Engineering Division Meeting, FEDSM2014-21633. Prashanth Avireddi and Nikhil Seera
Effect of process parameters on mechanical properties of friction stir spot welded magnesium to aluminum alloys Materials & Design, 66 (2015) 235-245. H.M. Rao, W. Yuan, H. Badarinarayan
Friction stir welding of dissimilar alloys and materials A Volume in the Friction Stir Welding and Processing Book Series, Elsevier 2015. N. Kumar, R.S. Mishra, W. Yuan
Integrated computational model for surface strain characterization in stainless steels and the experimental validation ICME proceeding2015. L. Zheng, W. Yuan, H. Badarinarayan
Friction stir welding of dissimilar lightweight metals with addition of adhesive TMS2015,Friction stir welding and processingVIII (2015). W. Yuan, K. Shah, B. Ghaffari, H. Badarinarayan.
Microstructure, texture, and mechanical properties of friction stir spot welded rare-earth containing ZEK100 magnesium alloy sheets Materials Science and Engineering: A, 618 (2014) 637-644. R.I. Rodriguez, J.B. Jordon, H.M. Rao, H. Badarinarayan, W. Yuan, H. El Kadiri, P.G. Allison
Friction stir welding of dissimilar aluminum and magnesium alloys for automotive sub-structure 10th International Symposium on Friction Stir Welding, Beijing, China, May 2014. W. Yuan, H. Badarinarayan, H.M. Rao.
Crystal plasticity and grain-orientation-dependent hkl-lattice strain in polycrystalline SUS316 TMS2014 Supplemental Proceedings, pp. 171-180. L. Zheng, W. Yuan, H. Badarinarayan.
Influence of structural integrity on fatigue behavior of friction stir spot welded AZ31 Mg alloy Materials Science and Engineering: A, 564 (2013) 369-380. H.M. Rao, J.B. Jordon, M.E. Barkey, Y.B. Guo, X. Su, H. Badarinarayan.
Deformation behavior of friction stir processed magnesium alloys Magnesium Technology, 2011. Q. Yang, S. Mironov, Y.S. Sato, K. Okamoto.
Monotonic and fatigue behavior of Mg alloy friction stir spot welds: An international benchmark test in the "magnesium front end research and development" project Magnesium Technology, 2011. H. Badarinarayan, S.B. Behravesh, S.D. Bhole, D.L. Chen, J. Grantham, M.F. Horstemeyer, H. Jahed, J.B. Jordon, S. Lambert, H.A. Patel, X. Su, Y. Yang.
Effect of weld orientation on static strength and failure mode of friction stir stitch welds in lap-shear specimens of aluminum 6022-T4 sheets Fatigue & Fracture of Engineering Materials & Structures, 34 (2011) 908-920. H. Badarinarayan, Q. Yang, K. Okamoto.
Effect of tool geometry and process condition on the strength of a magnesium friction stir lap linear weld, TMS2011. Q. Yang, X. Li, K. Chen, Y.J. Shi.
Effect of tool geometry and process condition on static strength of a magnesium friction stir lap linear weld Materials Science and Engineering: A, 528 (2011) 2463-2478. Q. Yang, X. Li, K. Chen, Y.J. Shi.
Analysis of effect of tool geometry on plastic flow during friction stir spot welding using particle method Journal of Materials Processing Technology, 210 (2010) 1455-1463. S. Hirasawa, H. Badarinarayan, K. Okamoto, T. Tomimura, T. Kawanami.
Material flow during friction stir spot welding Materials Science and Engineering: A, 527 (2010) 4389-4398. Q. Yang, S. Mironov, Y.S. Sato, K. Okamoto.
Fatigue evaluation of friction stir spot welds in magnesium sheets Magnesium Technology, 2010. J.B. Jordon, M.F. Horstemeyer, J. Grantham, H. Badarinarayan.
Effect of interfacial microstructure on lap shear strength of friction stir spot weld of aluminum alloy to magnesium alloy Science and Technology of Welding and Joining, 15 (2010) 319-324. Y. S. Sato, A. Shiota, H. Kokawa, K. Okamoto, Q. Yang, C. Kim.
Specific character of material flow in near-surface layer during friction stir processing of AZ31 magnesium alloy Metallurgical and Materials TransactionsA, 41 (2010) 1016-1024. S. Mironov, Q. Yang, H. Takahashi, I. Takahashi, K. Okamoto, Y.S. Sato, H. Kokawa.
Cyber Physical System: A Virtual CPU Based Mechatronic Simulation. IFAC 2010
A Loosely Coupled Sensing System Architecture and Implementation for Industrial IoT, Sensors & Transducers Journal, November 2019, Yasutaka Serizawa, Yusuke Shomura
Remaining Useful Life Prediction of Industrial Consumables Using Wideband Vibration Signals, 2019 IEEE International Conference on Big Data, December 2019, Daisuke Maeda, Sudhanshu Gaur
Emerging Technologies: Connecting Millennials and Manufacturing, The 5th IEEE International Conference on Collaboration and Internet Computing (IEEE CIC2019), December 2019, Sudhanshu Gaur, Joydeep Acharya, Yasutaka Serizawa,
Non-Invasive Data Extraction from Machine Display Units Using Video Analytics, in proc. of International Conference on Internet of Things, June 2019, New York, USA. R. Kaur, J. Acharya, S. Gaur
Edge compression of GPS data for mobile IoT, in proc. of IEEE Fog World Congress, Nov 2017 in Santa Clara, USA. J. Acharya, G. Gaur,
Fog Use Case Scenarios: Autonomous Driving, An OpenFog Consortium White Paper, Oct 2017 J. Acharya (contributing author),
Optimizing Vertical Sectorization for High-Rises, Proc. of IEEE International Conference on Computing, Networking and Communications (ICNC), J. Acharya and S. Akoum; Anaheim, CA, Feb 2015;
Vertical Beamforming for Three-Dimensional User Placement, Proc. of IEEE International Conference on Computing, Networking and Communications (ICNC), Anaheim, CA, Feb 2015.
S. Akoum and J. Acharya;
Multiuser MIMO Transmission in Distributed Antenna Systems with Heterogeneous User Traffic, Proc. of IEEE VTC; Yokohama, Japan, May 2012. L. Gao, J. Acharya, and S. Gaur.
Heterogeneous Networks – Theory and Standardization in LTE, Tutorial presentation at IEEE Vehicular Technology Conference; Yokohama, Japan, May 2012. J. Acharya, L. Gao, and S. Gaur.
Energy
Speeding Up the Dissipating Energy Flow Based Oscillation Source Detection, IEEE International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), College Station, Texas, Kenta Kirihara, Jun Yamazaki, Panitam Chongfuangprinya
Spatial Prediction for Outage Location Using Machine Learning Techniques,CIGRE SC D2 Colloquium 2019, Finland, June 19, 2019, Panitam Chongfuangprinya, Bo Yang, Yanzhu Ye, Yasushi Tomita, Sumito Tobe
An Open IoT Data Analytical Framework for Distributed Energy Resource Management, CIGRE SC D2 Colloquium 2019, Finland, June 11, 2019, Yanzhu Ye,Panitam Chongfuangprinya, Bo Yang, , Yasushi Tomita, Sumito Tobe
An Open IoT Data Analytical Framework for Distributed Energy Resource Management, Distributed Energy, March 2020 Yanzhu Ye, Bo Yang,Panitam Chongfuangprinya
The Latest Development of Distribution Resource Planning Methods and Modeling Tools, DistribuTech 2020, San Antonio, TX, USA, Pedram Jahangiri, Bo Yang, Yanzhu Ye, Panitam Chongfuangprinya, et. al.
Evaluation of Impact of Regulation Signal on Energy Storage Operation in PJM Regulation Market, IEEE Milan PowerTech 2019, Milan, Italy, Yanzhu Ye, Bo Yang, Panitam Chongfuangprinya, Sumito Tobe and Yasushi Tomita.
Finance
A Practical Screening Method for Blockchain-Based Systems Proceeding of The 2018 IEEE International Conference on Blockchain, 2018; Y. Kondo, T. Shimosawa, S. Oshima
Platform
Improving Snapshot Performance by SSD Controller in All-flash Array, Proc. of 15th International Conference Applied Computing, pp. 253-260, Budapest, Hungary, Oct. 2018.
M. Imazaki, N. Shimozono, and N. Komoda.
Efficient Snapshot Method for All-flash Array, IADIS International Journal on Computer Science and Information Systems, vol. 13, issue 2, pp. 109-123, Dec. 2018. M. Imazaki, N. Shimozono, and N. Komoda.
A Statistical Inference Method of Configuration Data for Root Cause Analysis for Fault Management, Journal of Information Processing Society of Japan, Vol. 56(3), pp. 767-776, Mar. 15, 2015; Y. Sakashita, et al.,
Simulation of Power Saving in Private Cloud Environment, Proc. of the 42nd annual ACM SIGUCCS conference on User services, Pages 53-57, Salt Lake City, UT, Nov. 2014. Y. Sakashita, et al.
Optimization of the Hybrid Cloud Operation by Dynamic Placement Method, Journal of Information Processing Society of Japan, Vol. 54(4), pp. 1581-1591, Apr. 15, 2013. H. Emaru, et al.
Performance Management for the Dynamic Tiering Storage by Virtual Volume Clustering,Journal of Information Processing Society of Japan, Vol. 52(7), pp. 2234-2244, Sept. 15, 2011. H. Emaru, et al.
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