2021
Edraki, Amin; Chan, Wai-Yip; Jensen, Jesper; Fogerty, Daniel
Speech Intelligibility Prediction Using Spectro-Temporal Modulation Analysis Journal Article
In: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29 , pp. 210-225, 2021.
@article{9269417,
title = {Speech Intelligibility Prediction Using Spectro-Temporal Modulation Analysis},
author = {Amin Edraki and Wai-Yip Chan and Jesper Jensen and Daniel Fogerty},
doi = {10.1109/TASLP.2020.3039929},
year = {2021},
date = {2021-11-24},
journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
volume = {29},
pages = {210-225},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chawla, Ishan; Pathak, P M; Notash, Leila; Samantaray, A K; Li, Qingguo; Sharma, U K
Workspace analysis and design of large-scale cable-driven printing robot considering cable mass and mobile platform orientation Journal Article
In: Mechanism and Machine Theory, 165 , pp. 104426, 2021, ISSN: 0094-114X.
Abstract | Links | BibTeX | Tags: 3D printing, Cable-driven parallel robots, Design analysis, Workspace analysis
@article{CHAWLA2021104426,
title = {Workspace analysis and design of large-scale cable-driven printing robot considering cable mass and mobile platform orientation},
author = {Ishan Chawla and P M Pathak and Leila Notash and A K Samantaray and Qingguo Li and U K Sharma},
url = {https://www.sciencedirect.com/science/article/pii/S0094114X21001841},
doi = {https://doi.org/10.1016/j.mechmachtheory.2021.104426},
issn = {0094-114X},
year = {2021},
date = {2021-11-01},
journal = {Mechanism and Machine Theory},
volume = {165},
pages = {104426},
abstract = {This paper proposes a methodology to determine the printable workspace of a cable robot by taking cable mass and mobile platform orientation into account. This workspace has a characteristic feature of avoiding the collision of lower cables with the previous layers of the structure during 3D printing while maintaining cable tensions inside the prescribed positive tension bounds. Since redundant robot is taken into consideration, the printable workspace possesses multiple solutions and hence, a unique solution needs to be selected based upon a selection criterion. Therefore, to select a unique solution, this paper proposes a selection criterion to minimize cable sagging and compares it with the conventional selection criterion of minimizing cable tension. For comparative analysis, various factors such as printable workspace, cable tensions and platform deflection of the robot are considered. The proposed selection criterion is further utilized to study the impact of variation in the geometric parameters on the printable workspace and the capacity margin of the robot. Finally, an optimal design is proposed using genetic algorithm for the desired printable workspace as well as constraint minimum capacity margin with an objective to minimize the installation space of the cable robot.},
keywords = {3D printing, Cable-driven parallel robots, Design analysis, Workspace analysis},
pubstate = {published},
tppubtype = {article}
}
This paper proposes a methodology to determine the printable workspace of a cable robot by taking cable mass and mobile platform orientation into account. This workspace has a characteristic feature of avoiding the collision of lower cables with the previous layers of the structure during 3D printing while maintaining cable tensions inside the prescribed positive tension bounds. Since redundant robot is taken into consideration, the printable workspace possesses multiple solutions and hence, a unique solution needs to be selected based upon a selection criterion. Therefore, to select a unique solution, this paper proposes a selection criterion to minimize cable sagging and compares it with the conventional selection criterion of minimizing cable tension. For comparative analysis, various factors such as printable workspace, cable tensions and platform deflection of the robot are considered. The proposed selection criterion is further utilized to study the impact of variation in the geometric parameters on the printable workspace and the capacity margin of the robot. Finally, an optimal design is proposed using genetic algorithm for the desired printable workspace as well as constraint minimum capacity margin with an objective to minimize the installation space of the cable robot.
Yang, Xiaoyu; Zhu, Xiaodan; Shi, Zhan; Li, Tianda
Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference Miscellaneous
2021.
Abstract | Links | BibTeX | Tags:
@misc{yang2021unsupervised,
title = {Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference},
author = {Xiaoyu Yang and Xiaodan Zhu and Zhan Shi and Tianda Li},
url = {https://arxiv.org/pdf/2109.03941.pdf},
year = {2021},
date = {2021-09-08},
urldate = {2021-09-08},
abstract = {While recent research on natural language inference has considerably benefited from large annotated datasets, the amount of inference-related knowledge (including commonsense) provided in the annotated data is still rather limited. There have been two lines of approaches that can be used to further address the limitation: (1) unsupervised pretraining can leverage knowledge in much larger unstructured text data; (2) structured (often human-curated) knowledge has started to be considered in neural-network-based models for NLI. An immediate question is whether these two approaches complement each other, or how to develop models that can bring together their advantages. In this paper, we propose models that leverage structured knowledge in different components of pre-trained models. Our results show that the proposed models perform better than previous BERT-based state-of-the-art models. Although our models are proposed for NLI, they can be easily extended to other sentence or sentence-pair classification problems. },
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
While recent research on natural language inference has considerably benefited from large annotated datasets, the amount of inference-related knowledge (including commonsense) provided in the annotated data is still rather limited. There have been two lines of approaches that can be used to further address the limitation: (1) unsupervised pretraining can leverage knowledge in much larger unstructured text data; (2) structured (often human-curated) knowledge has started to be considered in neural-network-based models for NLI. An immediate question is whether these two approaches complement each other, or how to develop models that can bring together their advantages. In this paper, we propose models that leverage structured knowledge in different components of pre-trained models. Our results show that the proposed models perform better than previous BERT-based state-of-the-art models. Although our models are proposed for NLI, they can be easily extended to other sentence or sentence-pair classification problems.
Kourkounakis, Tedd; Hajavi, Amirhossein; Etemad, Ali
FluentNet: End-to-End Detection of Stuttered Speech Disfluencies with Deep Learning Journal Article
In: IEEE/ACM Transactions on Audio, Speech, and Language Processing, pp. 1-1, 2021.
@article{9528931,
title = {FluentNet: End-to-End Detection of Stuttered Speech Disfluencies with Deep Learning},
author = {Tedd Kourkounakis and Amirhossein Hajavi and Ali Etemad},
doi = {10.1109/TASLP.2021.3110146},
year = {2021},
date = {2021-09-03},
urldate = {2021-01-01},
journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
pages = {1-1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hajian, Gelareh; Etemad, Ali; Morin, Evelyn
Generalized EMG-based isometric contact force estimation using a deep learning approach Journal Article
In: Biomedical Signal Processing and Control, 70 , pp. 103012, 2021, ISSN: 1746-8094.
Abstract | Links | BibTeX | Tags: Convolutional neural network (CNN), Force estimation, High-density (HD) recording, Isometric contraction, Surface electromyogram (EMG)
@article{HAJIAN2021103012,
title = {Generalized EMG-based isometric contact force estimation using a deep learning approach},
author = {Gelareh Hajian and Ali Etemad and Evelyn Morin},
url = {https://www.sciencedirect.com/science/article/pii/S1746809421006091},
doi = {https://doi.org/10.1016/j.bspc.2021.103012},
issn = {1746-8094},
year = {2021},
date = {2021-09-01},
journal = {Biomedical Signal Processing and Control},
volume = {70},
pages = {103012},
abstract = {EMG-based force estimation is generally done in a subject specific manner. In this paper, we explore force estimation in a manner generalizable across individuals, where the EMG signals are recorded from the long head and the short head of biceps brachii, and the brachioradialis, under isometric elbow flexion, while the contact force is measured at the wrist. Deep convolutional neural networks (CNN), which utilize feature-level fusion of representations learned from high-density (HD) EMG in the time and frequency domains, are developed. The performance of the proposed solution (CNN-FLF) is compared to a number of baselines including CNNs with input-level fusion of HD-EMG data in the time and frequency domains, CNNs which estimate force from time or frequency domain EMG data separately, and a number of classical machine learning methods, which use hand-crafted features extracted from the EMG signals. Results show that the CNN-FLF, with optimized hyper-parameters, outperformed all other methods, giving a normalized mean squared error for estimated force of 1.6±3.69% (mean±SD). In visualization of the extracted features for the different CNN models, it is apparent that the final features of the CNN-FLF enable finding an accurate regressive relationship with output force levels.},
keywords = {Convolutional neural network (CNN), Force estimation, High-density (HD) recording, Isometric contraction, Surface electromyogram (EMG)},
pubstate = {published},
tppubtype = {article}
}
EMG-based force estimation is generally done in a subject specific manner. In this paper, we explore force estimation in a manner generalizable across individuals, where the EMG signals are recorded from the long head and the short head of biceps brachii, and the brachioradialis, under isometric elbow flexion, while the contact force is measured at the wrist. Deep convolutional neural networks (CNN), which utilize feature-level fusion of representations learned from high-density (HD) EMG in the time and frequency domains, are developed. The performance of the proposed solution (CNN-FLF) is compared to a number of baselines including CNNs with input-level fusion of HD-EMG data in the time and frequency domains, CNNs which estimate force from time or frequency domain EMG data separately, and a number of classical machine learning methods, which use hand-crafted features extracted from the EMG signals. Results show that the CNN-FLF, with optimized hyper-parameters, outperformed all other methods, giving a normalized mean squared error for estimated force of 1.6±3.69% (mean±SD). In visualization of the extracted features for the different CNN models, it is apparent that the final features of the CNN-FLF enable finding an accurate regressive relationship with output force levels.
Taghanaki, Setareh Rahimi; Rainbow, Michael; Etemad, Ali
Wearable-based Classification of Running Styles with Deep Learning Miscellaneous
2021.
BibTeX | Tags:
@misc{taghanaki2021wearablebased,
title = {Wearable-based Classification of Running Styles with Deep Learning},
author = {Setareh Rahimi Taghanaki and Michael Rainbow and Ali Etemad},
year = {2021},
date = {2021-09-01},
urldate = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Taghanaki, Setareh Rahimi; Rainbow, Michael; Etemad, Ali
Wearable-based Classification of Running Styles with Deep Learning Journal Article
In: arXiv e-prints, pp. arXiv:2109.00594, 2021.
BibTeX | Tags: Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing
@article{2021arXiv210900594R,
title = {Wearable-based Classification of Running Styles with Deep Learning},
author = {Setareh Rahimi Taghanaki and Michael Rainbow and Ali Etemad},
year = {2021},
date = {2021-09-01},
urldate = {2021-09-01},
journal = {arXiv e-prints},
pages = {arXiv:2109.00594},
keywords = {Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing},
pubstate = {published},
tppubtype = {article}
}
Lee, Sunghoon; Park, Jooyoun; Kim, Il-Min; Heo, Jun
Flexible soft-output decoding of polar codes Journal Article
In: EURASIP Journal on Wireless Communications and Networking, 2021 , 2021, ISBN: 1687-1499.
Abstract | Links | BibTeX | Tags:
@article{Lee2021,
title = {Flexible soft-output decoding of polar codes},
author = { Sunghoon Lee and Jooyoun Park and Il-Min Kim and Jun Heo},
url = {https://jwcn-eurasipjournals.springeropen.com/articles/10.1186/s13638-021-02042-x#Abs1},
doi = {10.1186/s13638-021-02042-x},
isbn = {1687-1499},
year = {2021},
date = {2021-08-24},
urldate = {2021-08-24},
journal = {EURASIP Journal on Wireless Communications and Networking},
volume = {2021},
abstract = { In this research, we study soft-output decoding of polar codes. Two representative soft-output decoding algorithms are belief propagation (BP) and soft cancellation (SCAN). The BP algorithm has low latency but suffers from high computational complexity. On the other hand, the SCAN algorithm, which is proposed for reduced complexity of soft-output decoding, achieves good decoding performance but suffers from long latency. These two algorithms are suitable only for two extreme cases that need very low latency (but with high complexity) or very low complexity (but with high latency). However, many practical systems may need to work for the moderate cases (i.e., not too high latency and not too high complexity) rather than two extremes. To adapt to the various needs of the systems, we propose a very flexible soft-output decoding framework of polar codes. Depending on which system requirement is most crucial, the proposed scheme can adapt to the systems by controlling the level of parallelism. Numerical results demonstrate that the proposed scheme can effectively adapt to various system requirements by changing the level of parallelism.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this research, we study soft-output decoding of polar codes. Two representative soft-output decoding algorithms are belief propagation (BP) and soft cancellation (SCAN). The BP algorithm has low latency but suffers from high computational complexity. On the other hand, the SCAN algorithm, which is proposed for reduced complexity of soft-output decoding, achieves good decoding performance but suffers from long latency. These two algorithms are suitable only for two extreme cases that need very low latency (but with high complexity) or very low complexity (but with high latency). However, many practical systems may need to work for the moderate cases (i.e., not too high latency and not too high complexity) rather than two extremes. To adapt to the various needs of the systems, we propose a very flexible soft-output decoding framework of polar codes. Depending on which system requirement is most crucial, the proposed scheme can adapt to the systems by controlling the level of parallelism. Numerical results demonstrate that the proposed scheme can effectively adapt to various system requirements by changing the level of parallelism.
Forbrigger, Shane; Hashtrudi-Zaad, Keyvan
An Intent-Preserving Approach to Telerobotic Rehabilitation Inproceedings
In: 2021 IEEE World Haptics Conference (WHC), pp. 739-744, 2021.
@inproceedings{9517196,
title = {An Intent-Preserving Approach to Telerobotic Rehabilitation},
author = {Shane Forbrigger and Keyvan Hashtrudi-Zaad},
doi = {10.1109/WHC49131.2021.9517196},
year = {2021},
date = {2021-08-23},
urldate = {2021-01-01},
booktitle = {2021 IEEE World Haptics Conference (WHC)},
pages = {739-744},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Pecly, Leonam; Hashtrudi-Zaad, Keyvan
Analog Position using Sensor Fusion for Haptic Systems Control Inproceedings
In: 2021 IEEE World Haptics Conference (WHC), pp. 391-396, 2021.
@inproceedings{9517229,
title = {Analog Position using Sensor Fusion for Haptic Systems Control},
author = {Leonam Pecly and Keyvan Hashtrudi-Zaad},
doi = {10.1109/WHC49131.2021.9517229},
year = {2021},
date = {2021-08-23},
urldate = {2021-01-01},
booktitle = {2021 IEEE World Haptics Conference (WHC)},
pages = {391-396},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Pecly, Leonam; Hashtrudi-Zaad, Keyvan
Uncoupled Stability Region for Analog and Discrete Implementation of Mass-Damper-Spring Virtual Environments Inproceedings
In: 2021 IEEE World Haptics Conference (WHC), pp. 864-864, 2021.
@inproceedings{9517241,
title = {Uncoupled Stability Region for Analog and Discrete Implementation of Mass-Damper-Spring Virtual Environments},
author = {Leonam Pecly and Keyvan Hashtrudi-Zaad},
doi = {10.1109/WHC49131.2021.9517241},
year = {2021},
date = {2021-08-23},
urldate = {2021-01-01},
booktitle = {2021 IEEE World Haptics Conference (WHC)},
pages = {864-864},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Pecly, Leonam; Hashtrudi-Zaad, Keyvan
Enhanced Haptic Passivity and Uncoupled Stability with Tustin-like General Discretization Method Inproceedings
In: 2021 IEEE World Haptics Conference (WHC), pp. 109-114, 2021.
@inproceedings{9517253,
title = {Enhanced Haptic Passivity and Uncoupled Stability with Tustin-like General Discretization Method},
author = {Leonam Pecly and Keyvan Hashtrudi-Zaad},
doi = {10.1109/WHC49131.2021.9517253},
year = {2021},
date = {2021-08-23},
urldate = {2021-01-01},
booktitle = {2021 IEEE World Haptics Conference (WHC)},
pages = {109-114},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Ebrahimi, Javad; Salari, Omid; Eren, Suzan; Zaad, Keyvan Hashtrudi; Bakhshai, Alireza; Jain, Praveen
Efficiency Improved Multi-Source Inverter for Hybrid Energy Storage Systems in Electric Vehicle Application Journal Article
In: IEEE Transactions on Power Electronics, pp. 1-1, 2021.
@article{9513596,
title = {Efficiency Improved Multi-Source Inverter for Hybrid Energy Storage Systems in Electric Vehicle Application},
author = {Javad Ebrahimi and Omid Salari and Suzan Eren and Keyvan Hashtrudi Zaad and Alireza Bakhshai and Praveen Jain},
doi = {10.1109/TPEL.2021.3104759},
year = {2021},
date = {2021-08-13},
journal = {IEEE Transactions on Power Electronics},
pages = {1-1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Simon, Nisha; Muise, Christian
A Natural Language Model for Generating PDDL Journal Article
In: 2021.
@article{simonnatural,
title = {A Natural Language Model for Generating PDDL},
author = {Nisha Simon and Christian Muise},
url = {https://icaps21.icaps-conference.org/workshops/KEPS/Papers/KEPS_2021_paper_7.pdf},
year = {2021},
date = {2021-08-12},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kearns, Oliver; Moore, Ian D; Hoult, Neil A
Experimental Study of a Noncircular Corrugated Steel Culvert at Different Shallow Cover Depths Book Chapter
In: Pipelines 2021, pp. 188-198, 2021.
Abstract | Links | BibTeX | Tags:
@inbook{doi:10.1061/9780784483619.020,
title = {Experimental Study of a Noncircular Corrugated Steel Culvert at Different Shallow Cover Depths},
author = {Oliver Kearns and Ian D Moore and Neil A Hoult},
url = {https://ascelibrary.org/doi/abs/10.1061/9780784483619.020},
doi = {10.1061/9780784483619.020},
year = {2021},
date = {2021-08-12},
booktitle = {Pipelines 2021},
pages = {188-198},
abstract = {North American bridge design codes recommend a minimum burial depth for culverts to prevent failure during construction or under vehicle loading. The design of flexible culverts, such as those made of corrugated steel plate, has historically focused on circumferential force in the conduit walls (i.e., hoop thrust) as the critical failure mode. However, recent studies have shown that bending stresses are often of the same magnitude as hoop stresses, especially for noncircular pipe culverts with cover depths that are at or near the recommended minimum level. To investigate this issue, an elliptical corrugated steel culvert with span of 1,650 mm, rise of 1,300 mm, and corrugation profile with a 25 mm amplitude and 75 mm wavelength was tested at different cover depths ranging from 0.1 to 1.2 m under simulated vehicle loading. The culvert’s response to live load quantifies just how much more dominant bending moment is than thrust. When combined earth and live loading is considered, moments are still important, and the results quantify the transition from a flexural, live load dominated response at extremely shallow cover depths to a more earth load dominated response at cover depths greater than 500 mm.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
North American bridge design codes recommend a minimum burial depth for culverts to prevent failure during construction or under vehicle loading. The design of flexible culverts, such as those made of corrugated steel plate, has historically focused on circumferential force in the conduit walls (i.e., hoop thrust) as the critical failure mode. However, recent studies have shown that bending stresses are often of the same magnitude as hoop stresses, especially for noncircular pipe culverts with cover depths that are at or near the recommended minimum level. To investigate this issue, an elliptical corrugated steel culvert with span of 1,650 mm, rise of 1,300 mm, and corrugation profile with a 25 mm amplitude and 75 mm wavelength was tested at different cover depths ranging from 0.1 to 1.2 m under simulated vehicle loading. The culvert’s response to live load quantifies just how much more dominant bending moment is than thrust. When combined earth and live loading is considered, moments are still important, and the results quantify the transition from a flexural, live load dominated response at extremely shallow cover depths to a more earth load dominated response at cover depths greater than 500 mm.
Tripakis, Stavros; Rudie, Karen
Decentralized Observation of Discrete-Event Systems: At Least One Can Tell Miscellaneous
2021.
BibTeX | Tags:
@misc{tripakis2021decentralized,
title = {Decentralized Observation of Discrete-Event Systems: At Least One Can Tell},
author = {Stavros Tripakis and Karen Rudie},
year = {2021},
date = {2021-08-10},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Kharazmi, Ehsan; Wang, Zhicheng; Fan, Dixia; Rudy, Samuel; Sapsis, Themis; Triantafyllou, Michael S.; Karniadakis, George E.
From Data to Assessment Models, Demonstrated through a Digital Twin of Marine Risers Proceeding
Day 3 Wed, August 18, 2021 , 2021, (D031S035R003).
Abstract | Links | BibTeX | Tags:
@proceedings{10.4043/30985-MS,
title = {From Data to Assessment Models, Demonstrated through a Digital Twin of Marine Risers},
author = {Ehsan Kharazmi and Zhicheng Wang and Dixia Fan and Samuel Rudy and Themis Sapsis and Michael S. Triantafyllou and George E. Karniadakis},
url = {https://doi.org/10.4043/30985-MS},
doi = {10.4043/30985-MS},
year = {2021},
date = {2021-08-09},
volume = {Day 3 Wed, August 18, 2021},
series = {OTC Offshore Technology Conference},
abstract = {Assessing the fatigue damage in marine risers due to vortex-induced vibrations (VIV) serves as a comprehensive example of using machine learning methods to derive assessment models of complex systems. A complete characterization of response of such complex systems is usually unavailable despite massive experimental data and computation results. These algorithms can use multi-fidelity data sets from multiple sources, including real-time sensor data from the field, systematic experimental data, and simulation data. Here we develop a three-pronged approach to demonstrate how tools in machine learning are employed to develop data-driven models that can be used for accurate and efficient fatigue damage predictions for marine risers subject to VIV.},
note = {D031S035R003},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Assessing the fatigue damage in marine risers due to vortex-induced vibrations (VIV) serves as a comprehensive example of using machine learning methods to derive assessment models of complex systems. A complete characterization of response of such complex systems is usually unavailable despite massive experimental data and computation results. These algorithms can use multi-fidelity data sets from multiple sources, including real-time sensor data from the field, systematic experimental data, and simulation data. Here we develop a three-pronged approach to demonstrate how tools in machine learning are employed to develop data-driven models that can be used for accurate and efficient fatigue damage predictions for marine risers subject to VIV.
Showalter, Ian; Schwartz, Howard; Givigi, Sidney N.
Evolutionary Inherited Neuromodulated Neurocontrollers with Objective Weighted Ranking Inproceedings
In: 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 2443-2450, 2021.
@inproceedings{9504892,
title = {Evolutionary Inherited Neuromodulated Neurocontrollers with Objective Weighted Ranking},
author = {Ian Showalter and Howard Schwartz and Sidney N. Givigi},
doi = {10.1109/CEC45853.2021.9504892},
year = {2021},
date = {2021-08-09},
booktitle = {2021 IEEE Congress on Evolutionary Computation (CEC)},
pages = {2443-2450},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Roy, Shuvendu; Etemad, Ali
Spatiotemporal Contrastive Learning of Facial Expressions in Videos Miscellaneous
2021.
BibTeX | Tags:
@misc{roy2021spatiotemporal,
title = {Spatiotemporal Contrastive Learning of Facial Expressions in Videos},
author = {Shuvendu Roy and Ali Etemad},
year = {2021},
date = {2021-08-06},
urldate = {2021-08-06},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Bhatti, Anubhav; Behinaein, Behnam; Rodenburg, Dirk; Hungler, Paul; Etemad, Ali
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition Miscellaneous
2021.
@misc{bhatti2021attentive,
title = {Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition},
author = {Anubhav Bhatti and Behnam Behinaein and Dirk Rodenburg and Paul Hungler and Ali Etemad},
url = {https://arxiv.org/pdf/2108.02241.pdf},
year = {2021},
date = {2021-08-04},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Lei, Jiarui; Fan, Dixia; Angera, Andrea; Liu, Yuming; Nepf, Heidi
Drag force and reconfiguration of cultivated Saccharina latissima in current Journal Article
In: Aquacultural Engineering, 94 , pp. 102169, 2021, ISSN: 0144-8609.
Abstract | Links | BibTeX | Tags: Aquaculture, Drag force, Flow-vegetation interaction, Kelp, Reconfiguration
@article{LEI2021102169,
title = {Drag force and reconfiguration of cultivated Saccharina latissima in current},
author = {Jiarui Lei and Dixia Fan and Andrea Angera and Yuming Liu and Heidi Nepf},
url = {https://www.sciencedirect.com/science/article/pii/S014486092100025X},
doi = {https://doi.org/10.1016/j.aquaeng.2021.102169},
issn = {0144-8609},
year = {2021},
date = {2021-08-01},
journal = {Aquacultural Engineering},
volume = {94},
pages = {102169},
abstract = {The design of aquaculture systems requires an understanding of the drag forces on cultivated kelp. This study measured the drag on line segments of cultivated Saccharina latissima in a towing tank. The drag on segments of farm line with full kelp bundles and with stipes alone (fronds removed) was measured at tow speeds of 0.10 to 0.50 m/s. The drag on individual fronds cut from the line was also measured. Video images were collected to evaluate the plant reconfiguration. Both kelp blades and stipes contributed to the total drag force on the line bundle. Within the velocity range of our experiments, the kelp blades were essentially horizontal. However, the pronation of kelp stipes increased as flow velocity increased. The reconfiguration of kelp stipes was observed to decrease the vertical extent of the kelp bundle. Due to this reconfiguration, the measured force, F, increased with velocity, U, at a rate slower than quadratic, and was consistent with scaling laws derived for reconfiguration. Specifically, F∼Uα with α=1.35±0.17.},
keywords = {Aquaculture, Drag force, Flow-vegetation interaction, Kelp, Reconfiguration},
pubstate = {published},
tppubtype = {article}
}
The design of aquaculture systems requires an understanding of the drag forces on cultivated kelp. This study measured the drag on line segments of cultivated Saccharina latissima in a towing tank. The drag on segments of farm line with full kelp bundles and with stipes alone (fronds removed) was measured at tow speeds of 0.10 to 0.50 m/s. The drag on individual fronds cut from the line was also measured. Video images were collected to evaluate the plant reconfiguration. Both kelp blades and stipes contributed to the total drag force on the line bundle. Within the velocity range of our experiments, the kelp blades were essentially horizontal. However, the pronation of kelp stipes increased as flow velocity increased. The reconfiguration of kelp stipes was observed to decrease the vertical extent of the kelp bundle. Due to this reconfiguration, the measured force, F, increased with velocity, U, at a rate slower than quadratic, and was consistent with scaling laws derived for reconfiguration. Specifically, F∼Uα with α=1.35±0.17.
Zhang, Guangyi; Etemad, Ali
Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition Miscellaneous
2021.
@misc{zhang2021deep,
title = {Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition},
author = {Guangyi Zhang and Ali Etemad},
url = {https://arxiv.org/pdf/2107.13505.pdf},
year = {2021},
date = {2021-07-28},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Ean, Richard; Rudie, Karen
Do What You Know: Coupling Knowledge with Action in Discrete-Event Systems Miscellaneous
2021.
@misc{ean2021know,
title = {Do What You Know: Coupling Knowledge with Action in Discrete-Event Systems},
author = {Richard Ean and Karen Rudie},
url = {https://arxiv.org/pdf/2108.02000.pdf
},
year = {2021},
date = {2021-07-25},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Fuzheng; Hoult Sun, Neil; Butler
Distributed monitoring of rail lateral buckling under axial loading Journal Article
In: Journal of Civil Structural Health Monitoring, 2021.
Abstract | Links | BibTeX | Tags: Fibre Optic Sensors, Rail monitoring
@article{Sun2021,
title = {Distributed monitoring of rail lateral buckling under axial loading},
author = {Sun, Fuzheng; Hoult, Neil; Butler, Liam J.; Zhang, Merrina},
url = {https://link.springer.com/article/10.1007/s13349-021-00504-w},
doi = {https://doi.org/10.1007/s13349-021-00504-w},
year = {2021},
date = {2021-07-15},
journal = {Journal of Civil Structural Health Monitoring},
abstract = {Distributed fiber optic sensors (DFOS) were used, for the first time, to monitor lateral buckling of a rail under axial loading with different boundary conditions. In the experiments, two types of DFOS systems were used to collect the distributed strain data, and the performance of the two systems was compared. The distributed strain data were used to develop a fitted strain plane at each cross-section along the rail, and axial strain and bending curvature were derived from the fitted strain plane. A data extrapolation method using the distributed curvature data was developed to evaluate the actual boundary conditions at the ends of the rail since they did not match assumed ideal behaviour. The distributed rail deflection along the length of rail was calculated by integrating distributed curvature data and the results were compared with the deflection measured by linear potentiometers (LPs).},
keywords = {Fibre Optic Sensors, Rail monitoring},
pubstate = {published},
tppubtype = {article}
}
Distributed fiber optic sensors (DFOS) were used, for the first time, to monitor lateral buckling of a rail under axial loading with different boundary conditions. In the experiments, two types of DFOS systems were used to collect the distributed strain data, and the performance of the two systems was compared. The distributed strain data were used to develop a fitted strain plane at each cross-section along the rail, and axial strain and bending curvature were derived from the fitted strain plane. A data extrapolation method using the distributed curvature data was developed to evaluate the actual boundary conditions at the ends of the rail since they did not match assumed ideal behaviour. The distributed rail deflection along the length of rail was calculated by integrating distributed curvature data and the results were compared with the deflection measured by linear potentiometers (LPs).
Mayuku, Orighomisan; Surgenor, Brian W; Marshall, Joshua A
Multi-Resolution and Multi-Domain Analysis of Off-Road Datasets for Autonomous Driving Inproceedings
In: 2021 18th Conference on Robots and Vision (CRV), pp. 165-172, 2021.
@inproceedings{9469485,
title = {Multi-Resolution and Multi-Domain Analysis of Off-Road Datasets for Autonomous Driving},
author = {Orighomisan Mayuku and Brian W Surgenor and Joshua A Marshall},
doi = {10.1109/CRV52889.2021.00030},
year = {2021},
date = {2021-07-05},
booktitle = {2021 18th Conference on Robots and Vision (CRV)},
pages = {165-172},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Lins, Romulo Gonçalves; Givigi, Sidney N
In: IEEE Access, pp. 1-1, 2021.
@article{9475965,
title = {Cooperative Robotics and Machine Learning for Smart Manufacturing: Platform Design and Trends Within the Context of Industrial Internet of Things},
author = {Romulo Gonçalves Lins and Sidney N Givigi},
doi = {10.1109/ACCESS.2021.3094374},
year = {2021},
date = {2021-07-05},
journal = {IEEE Access},
pages = {1-1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mokogwu, Chiedu N; Hashtrudi-Zaad, Keyvan
A hybrid position–rate teleoperation system Journal Article
In: Robotics and Autonomous Systems, 141 , pp. 103781, 2021, ISSN: 0921-8890.
Abstract | Links | BibTeX | Tags: Bilateral teleoperation, Position mode, Range sensor, Rate mode, Stability, Workspace expansion
@article{MOKOGWU2021103781,
title = {A hybrid position–rate teleoperation system},
author = {Chiedu N Mokogwu and Keyvan Hashtrudi-Zaad},
url = {https://www.sciencedirect.com/science/article/pii/S092188902100066X},
doi = {https://doi.org/10.1016/j.robot.2021.103781},
issn = {0921-8890},
year = {2021},
date = {2021-07-01},
journal = {Robotics and Autonomous Systems},
volume = {141},
pages = {103781},
abstract = {Position resolution is a major problem in teleoperation applications with significant disparity between master and slave workspace. While rate mode control is suitable for slave free motion operations, it poses significant stability and performance challenges for task manipulation. In this paper, we propose a hybrid control scheme that offers seamless transition between position and rate control modes based on the environment location information collected from a range sensor. The system incorporates the strengths of position and rate control modes while masking their shortcomings. Experiments to determine the viability of this method are carried out on a single degree-of-freedom teleoperation test-bed.},
keywords = {Bilateral teleoperation, Position mode, Range sensor, Rate mode, Stability, Workspace expansion},
pubstate = {published},
tppubtype = {article}
}
Position resolution is a major problem in teleoperation applications with significant disparity between master and slave workspace. While rate mode control is suitable for slave free motion operations, it poses significant stability and performance challenges for task manipulation. In this paper, we propose a hybrid control scheme that offers seamless transition between position and rate control modes based on the environment location information collected from a range sensor. The system incorporates the strengths of position and rate control modes while masking their shortcomings. Experiments to determine the viability of this method are carried out on a single degree-of-freedom teleoperation test-bed.
Walker, Stephanie; Firouzeh, Amir; Robertson, Matthew; Mengüç, Yiğit; Paik, Jamie
3D Printed Motor-Sensory Module Prototype for Facial Rehabilitation Journal Article
In: Soft Robotics, 0 (0), pp. null, 2021, (PMID: 34191624).
Abstract | Links | BibTeX | Tags:
@article{doi:10.1089/soro.2020.0010,
title = {3D Printed Motor-Sensory Module Prototype for Facial Rehabilitation},
author = {Stephanie Walker and Amir Firouzeh and Matthew Robertson and Yiğit Mengüç and Jamie Paik},
url = {https://doi.org/10.1089/soro.2020.0010},
doi = {10.1089/soro.2020.0010},
year = {2021},
date = {2021-06-29},
journal = {Soft Robotics},
volume = {0},
number = {0},
pages = {null},
abstract = {This work demonstrates the first 3D printed wearable motor-sensory module prototype designed for facial rehabilitation, focusing on facial paralysis. The novelty of the work lies in the fast fabrication of the first fully soft working prototype, including feedback control, with a focus on the methodology for individual customization. Facial paralysis results from a variety of conditions, and more wearable and modular technologies are needed to address the complexity of facial movement rehabilitation. Smiling muscles are especially important for both expression and eating, and so this work focuses on this motion as an example of how the module can be applied to mimic and support needed muscle movement. A generalized actuator-sensor pair with a feedback control system is created to translate signals from smiling on the healthy side of the face (notably temporal and zygomatic branch) to actuation on the paralyzed side of the face for augmented physiotherapy. Fabric and a sensor fluid are integrated during the silicone printing process to create a multicomponent wearable that is ready to use with minimal postprocessing. The actuators' force and vertical contraction results under a 0.98 and 1.96 N load meet the 1–7 N requirements needed for smiling. It is a challenge to measure soft surface-based force and contraction ratio consistently; therefore, a novel modular surface is designed to simulate the interaction of skin and bone using 3D printed hard plastic (bone) and a silicone sheet (skin). The actuator is tested on top of four different repeatable and standardized surface morphologies, and results reveal that the actuator force application will vary based on topography and hardness of the facial surface. Demonstration of the complete system on the face while collecting sensor and pressure data serves as a proof-of-concept and motivates potential applications in rapid customization of highly specialized soft wearable orthotics, prosthetics, and rehabilitation devices. This unique actuator-sensor combination can have additional applications for wearables due to the (1) customizability, (2) closed-loop control, and (3) unique “grounding” test platform.},
note = {PMID: 34191624},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This work demonstrates the first 3D printed wearable motor-sensory module prototype designed for facial rehabilitation, focusing on facial paralysis. The novelty of the work lies in the fast fabrication of the first fully soft working prototype, including feedback control, with a focus on the methodology for individual customization. Facial paralysis results from a variety of conditions, and more wearable and modular technologies are needed to address the complexity of facial movement rehabilitation. Smiling muscles are especially important for both expression and eating, and so this work focuses on this motion as an example of how the module can be applied to mimic and support needed muscle movement. A generalized actuator-sensor pair with a feedback control system is created to translate signals from smiling on the healthy side of the face (notably temporal and zygomatic branch) to actuation on the paralyzed side of the face for augmented physiotherapy. Fabric and a sensor fluid are integrated during the silicone printing process to create a multicomponent wearable that is ready to use with minimal postprocessing. The actuators' force and vertical contraction results under a 0.98 and 1.96 N load meet the 1–7 N requirements needed for smiling. It is a challenge to measure soft surface-based force and contraction ratio consistently; therefore, a novel modular surface is designed to simulate the interaction of skin and bone using 3D printed hard plastic (bone) and a silicone sheet (skin). The actuator is tested on top of four different repeatable and standardized surface morphologies, and results reveal that the actuator force application will vary based on topography and hardness of the facial surface. Demonstration of the complete system on the face while collecting sensor and pressure data serves as a proof-of-concept and motivates potential applications in rapid customization of highly specialized soft wearable orthotics, prosthetics, and rehabilitation devices. This unique actuator-sensor combination can have additional applications for wearables due to the (1) customizability, (2) closed-loop control, and (3) unique “grounding” test platform.
P.T. Jardine, Givigi
Improving Control Performance of Unmanned Aerial Vehicles through Shared Experience Journal Article
In: Journal of Intelligent & Robotic Systems, 102 (68), pp. 2, 2021.
Abstract | Links | BibTeX | Tags: Machine Learning, Unmanned Aerial Vehicles
@article{Jardine2021,
title = {Improving Control Performance of Unmanned Aerial Vehicles through Shared Experience},
author = {Jardine, P.T., Givigi, S. },
url = {https://link.springer.com/article/10.1007/s10846-021-01387-1},
doi = {https://doi.org/10.1007/s10846-021-01387-1},
year = {2021},
date = {2021-06-25},
journal = {Journal of Intelligent & Robotic Systems},
volume = {102},
number = {68},
pages = {2},
abstract = {This work proposes a novel approach for improving the control performance of Unmanned Aerial Vehicles (UAVs) through cooperative reinforcement learning. By sharing their experience, it is shown that multiple UAVs can work together to converge on a set of optimal Model Predictive Control (MPC) parameters faster than when working on their own. In order to benefit from this shared experience, the UAVs must coordinate their learning strategies. Here, we proposed a Leader-Follower approach, whereby the Leader ensures all trials are drawn from the same distribution and contribute to a common payoff game of Learning Automata. Experimental results show that this approach results in faster learning without any loss of performance.},
keywords = {Machine Learning, Unmanned Aerial Vehicles},
pubstate = {published},
tppubtype = {article}
}
This work proposes a novel approach for improving the control performance of Unmanned Aerial Vehicles (UAVs) through cooperative reinforcement learning. By sharing their experience, it is shown that multiple UAVs can work together to converge on a set of optimal Model Predictive Control (MPC) parameters faster than when working on their own. In order to benefit from this shared experience, the UAVs must coordinate their learning strategies. Here, we proposed a Leader-Follower approach, whereby the Leader ensures all trials are drawn from the same distribution and contribute to a common payoff game of Learning Automata. Experimental results show that this approach results in faster learning without any loss of performance.
Rudy, Samuel; Fan, Dixia; del Ferrandis, Jose Aguila; Sapsis, Themistoklis; Triantafyllou, Michael S
Learning Optimal Parametric Hydrodynamic Database for Vortex-Induced Crossflow Vibration Prediction of Both Freely-Mounted Rigid and Flexible Cylinders Proceeding
All Days , 2021, (ISOPE-I-21-3214).
@proceedings{,
title = {Learning Optimal Parametric Hydrodynamic Database for Vortex-Induced Crossflow Vibration Prediction of Both Freely-Mounted Rigid and Flexible Cylinders},
author = {Samuel Rudy and Dixia Fan and Jose Aguila del Ferrandis and Themistoklis Sapsis and Michael S Triantafyllou},
year = {2021},
date = {2021-06-20},
volume = {All Days},
series = {International Ocean and Polar Engineering Conference},
abstract = {The Vortex-induced vibration (VIV) prediction of long flexible cylindrical structures relies on the accuracy of the hydrodynamic database constructed via rigid cylinder forced vibration experiments. However, to create a comprehensive hydrodynamic database with tens of input parameters including vibration amplitudes and frequencies and Reynolds number, surface roughness and so forth is technically challenging and virtually impossible due to the large number of experiments required. The current work presents an alternative approach to approximate the crossflow (CF) hydrodynamic coeffcient database in a carefully chosen parameterized form. The learning of the parameters is posed as a constraint optimization, where the objective function is constructed based on the error between the experimental response and theoretical prediction assuming energy balance between fluid and structure. Such a method yields the optimal estimation of the CF parametric hydrodynamic database and produces the VIV response prediction based on the updated hydrodynamic database. The method then was tested on several experiments, including freely-mounted rigid cylinder in large Reynolds number with combined crossflow and inline vibrations and large–scale flexible cylinder test in the Norwegian Deepwater Program, and the result is shown to robustly and significantly reduce the error in predicting cylinder VIVs.The prediction of the bluff body vortex–induced vibrations (VIV) is a challenging but important problem. For example, if the VIV of a marine riser in the ocean current is not treated appropriately, it may result in severe fatigue damage and substantial economic and environmental loss. Therefore, due to its critical scientific and industrial applications, VIV has received a considerable amount of research attention in the last four decades. A large number of publications (Williamson et al, 2004; Gabbai et al, 2005; Wang et al, 2020) have reviewed the key concepts and principal mechanisms of the bluff body VIV’s response and its wake patterns.},
note = {ISOPE-I-21-3214},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
The Vortex-induced vibration (VIV) prediction of long flexible cylindrical structures relies on the accuracy of the hydrodynamic database constructed via rigid cylinder forced vibration experiments. However, to create a comprehensive hydrodynamic database with tens of input parameters including vibration amplitudes and frequencies and Reynolds number, surface roughness and so forth is technically challenging and virtually impossible due to the large number of experiments required. The current work presents an alternative approach to approximate the crossflow (CF) hydrodynamic coeffcient database in a carefully chosen parameterized form. The learning of the parameters is posed as a constraint optimization, where the objective function is constructed based on the error between the experimental response and theoretical prediction assuming energy balance between fluid and structure. Such a method yields the optimal estimation of the CF parametric hydrodynamic database and produces the VIV response prediction based on the updated hydrodynamic database. The method then was tested on several experiments, including freely-mounted rigid cylinder in large Reynolds number with combined crossflow and inline vibrations and large–scale flexible cylinder test in the Norwegian Deepwater Program, and the result is shown to robustly and significantly reduce the error in predicting cylinder VIVs.The prediction of the bluff body vortex–induced vibrations (VIV) is a challenging but important problem. For example, if the VIV of a marine riser in the ocean current is not treated appropriately, it may result in severe fatigue damage and substantial economic and environmental loss. Therefore, due to its critical scientific and industrial applications, VIV has received a considerable amount of research attention in the last four decades. A large number of publications (Williamson et al, 2004; Gabbai et al, 2005; Wang et al, 2020) have reviewed the key concepts and principal mechanisms of the bluff body VIV’s response and its wake patterns.
(Oakville, CA US) Greenspan Michael (Kingston CA US) Lam Joseph (North York CA US) A Braunstain Eyal
Method, System and Apparatus for Detecting Item Facings Journal Article
In: (20210183095), 2021.
@article{patent:20210183095,
title = {Method, System and Apparatus for Detecting Item Facings},
author = {CA US) Greenspan Michael (Kingston CA US) Lam Joseph (North York CA US) A Braunstain Eyal (Oakville},
url = {https://www.freepatentsonline.com/y2021/0183095.html},
year = {2021},
date = {2021-06-17},
number = {20210183095},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mazumder, Joy; Zand, Mohsen; Greenspan, Michael
Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation Miscellaneous
2021.
BibTeX | Tags:
@misc{mazumder2021multistream,
title = {Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation},
author = {Joy Mazumder and Mohsen Zand and Michael Greenspan},
year = {2021},
date = {2021-06-12},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Sato, Thiago H; dos Santos, Sérgio Barros R; de Oliveira, André M; Cappabianco, Fábio A M; Givigi, Sidney N
Experimental Validation of a Steering Control System using an Adaptive Fuzzy Controller and Computer Vision Inproceedings
In: 2021 IEEE International Systems Conference (SysCon), pp. 1-8, 2021.
@inproceedings{9447097,
title = {Experimental Validation of a Steering Control System using an Adaptive Fuzzy Controller and Computer Vision},
author = {Thiago H Sato and Sérgio Barros R dos Santos and André M de Oliveira and Fábio A M Cappabianco and Sidney N Givigi},
doi = {10.1109/SysCon48628.2021.9447097},
year = {2021},
date = {2021-06-09},
booktitle = {2021 IEEE International Systems Conference (SysCon)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Magee, Riley; Givigi, Sidney
A System For P300 Detection Applied To Vehicle Navigation Inproceedings
In: 2021 IEEE International Systems Conference (SysCon), pp. 1-8, 2021.
@inproceedings{9447129,
title = {A System For P300 Detection Applied To Vehicle Navigation},
author = {Riley Magee and Sidney Givigi},
doi = {10.1109/SysCon48628.2021.9447129},
year = {2021},
date = {2021-06-09},
booktitle = {2021 IEEE International Systems Conference (SysCon)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Heaton, Jacqueline; Givigi, Sidney
Systems Design for EEG Signal Classification of Sensorimotor Activity Using Machine Learning Inproceedings
In: 2021 IEEE International Systems Conference (SysCon), pp. 1-7, 2021.
@inproceedings{9447106,
title = {Systems Design for EEG Signal Classification of Sensorimotor Activity Using Machine Learning},
author = {Jacqueline Heaton and Sidney Givigi},
doi = {10.1109/SysCon48628.2021.9447106},
year = {2021},
date = {2021-06-09},
booktitle = {2021 IEEE International Systems Conference (SysCon)},
pages = {1-7},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Campos, José Creissac; Graham, Nicholas T C; Spano, Lucio Davide; den Bergh, Jan Van
The Management of Risks and Benefits When Engineering Interactive Digital Systems Inproceedings
In: Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems, pp. 81–83, Association for Computing Machinery, Virtual Event, Netherlands, 2021, ISBN: 9781450384490.
Abstract | Links | BibTeX | Tags: engineering interactive systems, risk management, safety-critical
@inproceedings{10.1145/3459926.3464760,
title = {The Management of Risks and Benefits When Engineering Interactive Digital Systems},
author = {José Creissac Campos and Nicholas T C Graham and Lucio Davide Spano and Jan Van den Bergh},
url = {https://doi.org/10.1145/3459926.3464760},
doi = {10.1145/3459926.3464760},
isbn = {9781450384490},
year = {2021},
date = {2021-06-08},
booktitle = {Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems},
pages = {81–83},
publisher = {Association for Computing Machinery},
address = {Virtual Event, Netherlands},
series = {EICS '21},
abstract = {Traditionally, most UX designers, computer scientists and software engineers have not had to consider risks to the public from using their systems. However, the current evolution of digital systems in terms of the increasing number of users, their growing complexity and the pervasiveness of Artificial Intelligence techniques allow common HCI designers and engineers to build systems that create risks for the individual, groups of people, or event to the entire society. In this workshop, we aim at collecting the views and the current practice in the management of the risks and benefits in the engineering of interactive digital systems. Such a view will draw the way for new research, methods, and tools to incorporate the risk analysis into the current engineering and design practices. The workshop is proposed on behalf of the IFIP Working Groups 2.7/13.4 on User Interface Engineering.},
keywords = {engineering interactive systems, risk management, safety-critical},
pubstate = {published},
tppubtype = {inproceedings}
}
Traditionally, most UX designers, computer scientists and software engineers have not had to consider risks to the public from using their systems. However, the current evolution of digital systems in terms of the increasing number of users, their growing complexity and the pervasiveness of Artificial Intelligence techniques allow common HCI designers and engineers to build systems that create risks for the individual, groups of people, or event to the entire society. In this workshop, we aim at collecting the views and the current practice in the management of the risks and benefits in the engineering of interactive digital systems. Such a view will draw the way for new research, methods, and tools to incorporate the risk analysis into the current engineering and design practices. The workshop is proposed on behalf of the IFIP Working Groups 2.7/13.4 on User Interface Engineering.
Davoodnia, Vandad; Ghorbani, Saeed; Etemad, Ali
Estimating pose from pressure data for smart beds with deep image-based pose estimators Journal Article
In: Applied Intelligence, 2021, ISBN: Davoodnia2021.
Abstract | Links | BibTeX | Tags: Machine Learning, Smart Beds
@article{Davoodnia2021,
title = {Estimating pose from pressure data for smart beds with deep image-based pose estimators},
author = {Vandad Davoodnia and Saeed Ghorbani and Ali Etemad },
url = {https://link.springer.com/article/10.1007/s10489-021-02418-y},
doi = {https://doi.org/10.1007/s10489-021-02418-y},
isbn = {Davoodnia2021},
year = {2021},
date = {2021-06-04},
journal = {Applied Intelligence},
abstract = {In-bed pose estimation has shown value in fields such as hospital patient monitoring, sleep studies, and smart homes. In this paper, we explore different strategies for detecting body pose from highly ambiguous pressure data, with the aid of pre-existing pose estimators. We examine the performance of pre-trained pose estimators by using them either directly or by re-training them on two pressure datasets. We also explore other strategies utilizing a learnable pre-processing domain adaptation step, which transforms the vague pressure maps to a representation closer to the expected input space of common purpose pose estimation modules. Accordingly, we used a fully convolutional network with multiple scales to provide the pose-specific characteristics of the pressure maps to the pre-trained pose estimation module. Our complete analysis of different approaches shows that the combination of learnable pre-processing module along with re-training pre-existing image-based pose estimators on the pressure data is able to overcome issues such as highly vague pressure points to achieve very high pose estimation accuracy.},
keywords = {Machine Learning, Smart Beds},
pubstate = {published},
tppubtype = {article}
}
In-bed pose estimation has shown value in fields such as hospital patient monitoring, sleep studies, and smart homes. In this paper, we explore different strategies for detecting body pose from highly ambiguous pressure data, with the aid of pre-existing pose estimators. We examine the performance of pre-trained pose estimators by using them either directly or by re-training them on two pressure datasets. We also explore other strategies utilizing a learnable pre-processing domain adaptation step, which transforms the vague pressure maps to a representation closer to the expected input space of common purpose pose estimation modules. Accordingly, we used a fully convolutional network with multiple scales to provide the pose-specific characteristics of the pressure maps to the pre-trained pose estimation module. Our complete analysis of different approaches shows that the combination of learnable pre-processing module along with re-training pre-existing image-based pose estimators on the pressure data is able to overcome issues such as highly vague pressure points to achieve very high pose estimation accuracy.
Wang, Zhicheng (王志成); Fan, Dixia (范迪夏); Triantafyllou, Michael S.
Illuminating the complex role of the added mass during vortex induced vibration Journal Article
In: Physics of Fluids, 33 (8), pp. 085120, 2021.
@article{doi:10.1063/5.0059013,
title = {Illuminating the complex role of the added mass during vortex induced vibration},
author = {Zhicheng (王志成) Wang and Dixia (范迪夏) Fan and Michael S. Triantafyllou},
url = {https://doi.org/10.1063/5.0059013},
doi = {10.1063/5.0059013},
year = {2021},
date = {2021-06-04},
journal = {Physics of Fluids},
volume = {33},
number = {8},
pages = {085120},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lin, Ke (林柯 ); Wang, Jiasong (王嘉松 ); Fan, Dixia (范迪夏 ); Triantafyllou, Michael S
Flow-induced cross-flow vibrations of long flexible cylinder with an upstream wake interference Journal Article
In: Physics of Fluids, 33 (6), pp. 065104, 2021.
@article{doi:10.1063/5.0053826,
title = {Flow-induced cross-flow vibrations of long flexible cylinder with an upstream wake interference},
author = {Ke (林柯 ) Lin and Jiasong (王嘉松 ) Wang and Dixia (范迪夏 ) Fan and Michael S Triantafyllou},
url = {https://doi.org/10.1063/5.0053826},
doi = {10.1063/5.0053826},
year = {2021},
date = {2021-06-02},
journal = {Physics of Fluids},
volume = {33},
number = {6},
pages = {065104},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Dai, Yinpei; Li, Hangyu; Li, Yongbin; Sun, Jian; Huang, Fei; Si, Luo; Zhu, Xiaodan
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking Miscellaneous
2021.
BibTeX | Tags:
@misc{dai2021preview,
title = {Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking},
author = {Yinpei Dai and Hangyu Li and Yongbin Li and Jian Sun and Fei Huang and Luo Si and Xiaodan Zhu},
year = {2021},
date = {2021-06-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Shepertycky, Michael; Burton, Sarah; Dickson, Andrew; Liu, Yan-Fei; Li, Qingguo
Removing energy with an exoskeleton reduces the metabolic cost of walking Journal Article
In: Science, 372 (6545), pp. 957–960, 2021, ISSN: 0036-8075.
Abstract | Links | BibTeX | Tags:
@article{Shepertycky957,
title = {Removing energy with an exoskeleton reduces the metabolic cost of walking},
author = {Michael Shepertycky and Sarah Burton and Andrew Dickson and Yan-Fei Liu and Qingguo Li},
url = {https://science.sciencemag.org/content/372/6545/957},
doi = {10.1126/science.aba9947},
issn = {0036-8075},
year = {2021},
date = {2021-05-28},
journal = {Science},
volume = {372},
number = {6545},
pages = {957--960},
publisher = {American Association for the Advancement of Science},
abstract = {Many devices have been developed to harvest energy from walking or running, but their use often comes at cost to the wearer in the form of increased metabolic demand. Shepertycky et al. designed a device that can harvest mechanical energy from a natural walking gait and convert it to useable electrical energy while also reducing the metabolic energy consumption of the user (see the Perspective by Riemer et al.). The key to achieving textquotedblleftsomething from nothingtextquotedblright comes from designing the device to use muscle-centric control of the knee exoskeleton resistance to reduce active muscle force during the late part of the leg swing cycle.Science, aba9947, this issue p. 957; see also abh4007, p. 909Evolutionary pressures have led humans to walk in a highly efficient manner that conserves energy, making it difficult for exoskeletons to reduce the metabolic cost of walking. Despite the challenge, some exoskeletons have managed to lessen the metabolic expenditure of walking, either by adding or storing and returning energy. We show that the use of an exoskeleton that strategically removes kinetic energy during the swing period of the gait cycle reduces the metabolic cost of walking by 2.5 textpm 0.8% for healthy male users while converting the removed energy into 0.25 textpm 0.02 watts of electrical power. By comparing two loading profiles, we demonstrate that the timing and magnitude of energy removal are vital for successful metabolic cost reduction.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Many devices have been developed to harvest energy from walking or running, but their use often comes at cost to the wearer in the form of increased metabolic demand. Shepertycky et al. designed a device that can harvest mechanical energy from a natural walking gait and convert it to useable electrical energy while also reducing the metabolic energy consumption of the user (see the Perspective by Riemer et al.). The key to achieving textquotedblleftsomething from nothingtextquotedblright comes from designing the device to use muscle-centric control of the knee exoskeleton resistance to reduce active muscle force during the late part of the leg swing cycle.Science, aba9947, this issue p. 957; see also abh4007, p. 909Evolutionary pressures have led humans to walk in a highly efficient manner that conserves energy, making it difficult for exoskeletons to reduce the metabolic cost of walking. Despite the challenge, some exoskeletons have managed to lessen the metabolic expenditure of walking, either by adding or storing and returning energy. We show that the use of an exoskeleton that strategically removes kinetic energy during the swing period of the gait cycle reduces the metabolic cost of walking by 2.5 textpm 0.8% for healthy male users while converting the removed energy into 0.25 textpm 0.02 watts of electrical power. By comparing two loading profiles, we demonstrate that the timing and magnitude of energy removal are vital for successful metabolic cost reduction.
CONTEXT BASED PREDICTION OF A COMMUNICATION TIME Journal Article
In: (20210150381), 2021.
@article{patent:20210150381,
title = {CONTEXT BASED PREDICTION OF A COMMUNICATION TIME},
url = {https://www.freepatentsonline.com/y2021/0150381.html},
year = {2021},
date = {2021-05-20},
number = {20210150381},
keywords = {},
pubstate = {published},
tppubtype = {article}
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Gu, Jia-Chen; Liu, Hui; Ling, Zhen-Hua; Liu, Quan; Chen, Zhigang; Zhu, Xiaodan
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots Miscellaneous
2021.
BibTeX | Tags:
@misc{gu2021partner,
title = {Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots},
author = {Jia-Chen Gu and Hui Liu and Zhen-Hua Ling and Quan Liu and Zhigang Chen and Xiaodan Zhu},
year = {2021},
date = {2021-05-19},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Zhang, Chuan; Zhu, Liehuang; Xu, Chang; Ni, Jianbing; Huang, Cheng; Shen, Xuemin Sherman
Location Privacy-Preserving Task Recommendation with Geometric Range Query in Mobile Crowdsensing Journal Article
In: IEEE Transactions on Mobile Computing, pp. 1-1, 2021.
@article{9432741,
title = {Location Privacy-Preserving Task Recommendation with Geometric Range Query in Mobile Crowdsensing},
author = {Chuan Zhang and Liehuang Zhu and Chang Xu and Jianbing Ni and Cheng Huang and Xuemin Sherman Shen},
doi = {10.1109/TMC.2021.3080714},
year = {2021},
date = {2021-05-17},
journal = {IEEE Transactions on Mobile Computing},
pages = {1-1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Li, Tianda; Gu, Jia-Chen; Liu, Hui; Liu, Quan; Ling, Zhen-Hua; Su, Zhiming; Zhu, Xiaodan
Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem Inproceedings
In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6928-6932, 2021.
@inproceedings{9413654,
title = {Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem},
author = {Tianda Li and Jia-Chen Gu and Hui Liu and Quan Liu and Zhen-Hua Ling and Zhiming Su and Xiaodan Zhu},
doi = {10.1109/ICASSP39728.2021.9413654},
year = {2021},
date = {2021-05-13},
booktitle = {ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages = {6928-6932},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sepas-Moghaddam, Alireza; Pereira, Fernando; Correia, Paulo Lobato; Etemad, Ali
Multi-Perspective LSTM for Joint Visual Representation Learning Miscellaneous
2021.
BibTeX | Tags:
@misc{sepasmoghaddam2021multiperspective,
title = {Multi-Perspective LSTM for Joint Visual Representation Learning},
author = {Alireza Sepas-Moghaddam and Fernando Pereira and Paulo Lobato Correia and Ali Etemad},
year = {2021},
date = {2021-05-06},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Yager, Jacob; Hoult, Neil A; Bentz, Evan
Evaluating the behaviour of functionally graded reinforced concrete without transverse reinforcement using distributed sensing Journal Article
In: Construction and Building Materials, 295 , pp. 123612, 2021, ISSN: 0950-0618.
Abstract | Links | BibTeX | Tags: Debonding, Digital image correlation, Distributed fibre optic strain sensing, Fibre reinforced concrete, Fresh on fresh concrete casting, Functionally graded concrete, Low cement concrete, Three-point bending tests
@article{YAGER2021123612,
title = {Evaluating the behaviour of functionally graded reinforced concrete without transverse reinforcement using distributed sensing},
author = {Jacob Yager and Neil A Hoult and Evan Bentz},
url = {https://www.sciencedirect.com/science/article/pii/S0950061821013726},
doi = {https://doi.org/10.1016/j.conbuildmat.2021.123612},
issn = {0950-0618},
year = {2021},
date = {2021-05-01},
journal = {Construction and Building Materials},
volume = {295},
pages = {123612},
abstract = {Functionally graded concrete (FGC) can lower cement content and CO2 emissions. However, the behaviour of FGC is not fully understood. To examine behaviour at concrete interfaces as well as global behaviour, horizontally and vertically layered FGC (HLFGC, VLFGC) and control beams, all without transverse reinforcement, were tested in three-point bending. Distributed sensing measured reinforcement strains, cracking behaviour, and load–deflection behaviour. Using fibre reinforced concrete increased the load carrying capacity of VLFGC and decreased the number of cracks and the cracking load for HLFGC. Cracking at interfaces produced lower cracking strengths in VLFGC beams and brittle failures in some HLFGC beams.},
keywords = {Debonding, Digital image correlation, Distributed fibre optic strain sensing, Fibre reinforced concrete, Fresh on fresh concrete casting, Functionally graded concrete, Low cement concrete, Three-point bending tests},
pubstate = {published},
tppubtype = {article}
}
Functionally graded concrete (FGC) can lower cement content and CO2 emissions. However, the behaviour of FGC is not fully understood. To examine behaviour at concrete interfaces as well as global behaviour, horizontally and vertically layered FGC (HLFGC, VLFGC) and control beams, all without transverse reinforcement, were tested in three-point bending. Distributed sensing measured reinforcement strains, cracking behaviour, and load–deflection behaviour. Using fibre reinforced concrete increased the load carrying capacity of VLFGC and decreased the number of cracks and the cracking load for HLFGC. Cracking at interfaces produced lower cracking strengths in VLFGC beams and brittle failures in some HLFGC beams.
Zand, Mohsen; Etemad, Ali; Greenspan, Michael
Oriented Bounding Boxes for Small and Freely Rotated Objects Miscellaneous
2021.
@misc{zand2021oriented,
title = {Oriented Bounding Boxes for Small and Freely Rotated Objects},
author = {Mohsen Zand and Ali Etemad and Michael Greenspan},
url = {https://arxiv.org/pdf/2104.11854.pdf},
year = {2021},
date = {2021-04-21},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Zand, Mohsen; Etemad, Ali; Greenspan, Michael
Flow-based Autoregressive Structured Prediction of Human Motion Miscellaneous
2021.
@misc{zand2021flowbased,
title = {Flow-based Autoregressive Structured Prediction of Human Motion},
author = {Mohsen Zand and Ali Etemad and Michael Greenspan},
url = {https://arxiv.org/pdf/2104.04391.pdf},
year = {2021},
date = {2021-04-09},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Shah, Hurmat Ali; Zhao, Lian; Kim, Il-Min
In: IEEE Transactions on Vehicular Technology, pp. 1-1, 2021.
@article{9399261,
title = {Joint Network Control and Resource Allocation for Space-Terrestrial Integrated Network through Hierarchal Deep Actor-Critic Reinforcement Learning},
author = {Hurmat Ali Shah and Lian Zhao and Il-Min Kim},
doi = {10.1109/TVT.2021.3071983},
year = {2021},
date = {2021-04-08},
journal = {IEEE Transactions on Vehicular Technology},
pages = {1-1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}