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International Conference on Societal Automation (SA)

作者： Stavros Nousias Aris S. Lalos Athanasios Kalogeras Christos Alexakos Christos Koulamas Konstantinos Moustakas Industrial Systems Institute Athena Research Center Department of Electrical & Computer Engineering University of Patras Greece

ISBN: (纸本)9781728133461

The continuous expansion of the Internet of Things, with even more devices expected to connect in the following years, leads to a great increase in the amount of data required to be transmitted and stored, identifying the need for robust, reliable and energy efficient data flow in the context of an ever-growing network. This study presents a matrix completion based approach for big data and large matrices facilitating local smoothness constraints combined with active subspace computing. We demonstrate that the presented approaches exhibit lower reconstruction error with respect to relevant literature for the specific problem. We also examine the effect of matrix size on the reconstruction accuracy so as to investigate the suitability of the proposed approaches for big data.

关键词： Big Data Laplace equations Sparse matrices Optimization Matrix decomposition Internet of Things Image reconstruction

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When counterpoint meets chinese folk melodies 20

When counterpoint meets chinese folk melodies

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Proceedings of the 34th International Conference on Neural Information Processing systems

作者： Nan Jiang Sheng Jin Zhiyao Duan Changshui Zhang Institute for Artificial Intelligence Tsinghua University (THUAI) and State Key Lab of Intelligent Technologies and Systems and Beijing National Research Center for Information Science and Technology (BNRist) and Department of Automation Tsinghua University Beijing China Department of Electrical and Computer Engineering University of Rochester

ISBN: (纸本)9781713829546

Counterpoint is an important concept in Western music theory. In the past century, there have been significant interests in incorporating counterpoint into Chinese folk music composition. In this paper, we propose a reinforcement learning-based system, named FolkDuet, towards the online countermelody generation for Chinese folk melodies. With no existing data of Chinese folk duets, FolkDuet employs two reward models based on out-of-domain data i.e., Bach chorales, and monophonic Chinese folk melodies. An interaction reward model is trained on the duets formed from outer parts of Bach chorales to model counterpoint interaction, while a style reward model is trained on monophonic melodies of Chinese folk songs to model melodic patterns. With both rewards, the generator of FolkDuet is trained to generate countermelodies while maintaining the Chinese folk style. The entire generation process is performed in an online fashion, allowing real-time interactive human-machine duet improvisation. Experiments show that the proposed algorithm achieves better subjective and objective results than the baselines.

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Linear system identification under multiplicative noise from multiple trajectory data

arXiv

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arXiv 2020年

作者： Xing, Yu Gravell, Ben He, Xingkang Johansson, Karl H. Summers, Tyler Key Lab of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing China Department of Mechanical Engineering University of Texas Dallas RichardsonTX United States Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden

The study of multiplicative noise models has a long history in control theory but is re-emerging in the context of complex networked systems and systems with learning-based control. We consider linear system identification with multiplicative noise from multiple state-input trajectory data. We propose exploratory input signals along with a least-squares algorithm to simultaneously estimate nominal system parameters and multiplicative noise covariance matrices. The asymptotic consistency of the least-squares estimator is demonstrated by analyzing first and second moment dynamics of the system. The results are illustrated by numerical simulations. Copyright © 2020, The Authors. All rights reserved.

关键词： Linear systems

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Resonant beam communications with echo interference elimination

arXiv

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arXiv 2021年

作者： Xiong, Mingliang Liu, Qingwen Wang, Gang Giannakis, Georgios B. Zhang, Sihai Zhu, Jinkang Huang, Chuan College of Electronics and Information Engineering Tongji University Shanghai201804 China State Key Lab of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Key Lab of Wireless-Optical Communications University of Science and Technology of China Hefei Anhui230026 China School of Science and Engineering Chinese University of Hong Kong Shenzhen Guangdong518172 Hong Kong

Resonant beam communications (RBCom) is capable of providing wide bandwidth when using light as the carrier. Besides, the RBCom system possesses the characteristics of mobility, high signal-to-noise ratio (SNR), and multiplexing. Nevertheless, the channel of the RBCom system is distinct from other light communication technologies due to the echo interference issue. In this paper, we reveal the mechanism of the echo interference and propose the method to eliminate the interference. Moreover, we present an exemplary design based on frequency shifting and optical filtering, along with its mathematic model and performance analysis. The numerical evaluation shows that the channel capacity is greater than 15 bit/s/Hz. Copyright © 2021, The Authors. All rights reserved.

关键词： Internet of things

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Data Clustering using Variational Learning of Finite Scaled Dirichlet Mixture Models 28

Data Clustering using Variational Learning of Finite Scaled ...

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28th IEEE International Symposium on Industrial Electronics, ISIE 2019

作者： Nguyen, Hieu Azam, Muhammad Bouguila, Nizar Concordia Institute for Information Systems Engineering Concordia University MontrealH3G 1M8 Canada Department of Electrical and Computer Engineering Concordia University MontrealH3G 1M8 Canada

ISBN: (纸本)9781728136660

We introduce a variational Bayesian learning framework for finite Scaled Dirichlet mixture model. The variational inference estimates the parameters without the computational cost of conventional Bayesian methods. Furthermore, our model avoids including additional model selection criterion by automatically determining the optimal number of components as a part of the inference process. The proposed model is tested with real-life data clustering problems to demonstrate its effectiveness. © 2019 IEEE.

关键词： Unsupervised learning

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Gaussian Mixture-based Indoor Localization via Bluetooth Low Energy Sensors

Gaussian Mixture-based Indoor Localization via Bluetooth Low...

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IEEE Sensors

作者： Parvin Malekzadeh Mohammad Salimibeni Mohammadamin Atashi Mihai Barbulescu Konstantinos N. Plataniotis Arash Mohammadi Department of Electrical and Computer Engineering (ECE) Concordia University Montreal Canada Concordia Institute for Information Systems Engineering Concordia University Montreal Canada Department of Electrical and Computer Engineering University of Toronto Canada

A probabilistic Gaussian mixture model (GMM) of the Received Signal Strength Indicator (RSSI) is proposed to perform indoor localization via Bluetooth Low Energy (BLE) sensors. More specifically, to deal with the fact that RSSI-based solutions are prone to drastic fluctuations, GMMs are trained to more accurately represent the underlying distribution of the RSSI values. For assigning real-time observed RSSI vectors to different zones, first a Kalman Filter is applied to smooth the RSSI vector and form its Gaussian model, which is then compared in distribution with learned GMMs based on Bhattacharyya distance (BD) and via a weighted K-Nearest Neighbor (K-NN) approach.

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Event-Triggered Monitoring/Communication of Inertial Measurement Unit for IoT Applications

Event-Triggered Monitoring/Communication of Inertial Measure...

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IEEE Sensors

作者： Mohammad Salimibeni Parvin Malekzadeh Mohammadamin Atashi Mihai Barbulescu Konstantinos N. Plataniotis Arash Mohammadi Concordia Institute for Information Systems Engineering Concordia University Montreal Canada Department of Electrical and Computer Engineering (ECE) Concordia University Montreal Canada Department of Electrical and Computer Engineering University of Toronto Canada

Communication of high-frequency and equidistantly sampled Inertial Measurement Unit (IMU) measurements is impractical as it drains power of the handhold device and even may result in crashing the phone's operating system. In this regard, the paper proposes a novel Event-Triggered (ET) IMU monitoring/communication strategy for indoor localization in IoT applications. This is, to the best of our knowledge, the first work to develop ET methodologies within this context where communication only occurs when specific events are identified via a local triggering mechanism implemented at the sensor level. Different experimental scenarios are implemented illustrating effectiveness of the proposed ET-based IMU communication.

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A comparative study of eight human auditory models of monaural processing

arXiv

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arXiv 2021年

作者： Vecchi, Alejandro Osses Varnet, Léo Carney, Laurel H. Dau, Torsten Bruce, Ian C. Verhulst, Sarah Majdak, Piotr Laboratoire des systèmes perceptifs Département d'études cognitives École Normale Supérieure PSL University CNRS Paris France Departments of Biomedical Engineering and Neuroscience University of Rochester RochesterNY United States Hearing Systems Section Department of Health Technology Technical University of Denmark Lyngby Denmark Department of Electrical and Computer Engineering McMaster University HamiltonON Canada Hearing Technology group WAVES Department of Information Technology Ghent University Ghent Belgium Acoustics Research Institute Austrian Academy of Sciences Vienna Austria

A number of auditory models have been developed using diverging approaches, either physiological or perceptual, but they share comparable stages of signal processing, as they are inspired by the same constitutive parts of the auditory system. We compare eight monaural models that are openly accessible in the Auditory Modelling Toolbox. We discuss the considerations required to make the model outputs comparable to each other, as well as the results for the following model processing stages or their equivalents: Outer and middle ear, cochlear filter bank, inner hair cell, auditory nerve synapse, cochlear nucleus, and inferior colliculus. The discussion includes a list of recommendations for future applications of auditory models. © 2021, CC BY-NC-SA.

关键词： Physiological models

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Corrigendum to “Numerical analysis of the magnetic field impact on hydrothermal characteristics of a microchannel heatsink with Fe 3 O 4 ferrofluid and various pin-fin shapes” [J. Magn. Magn. Mater. 585 (2023) 171102]

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Journal of Magnetism and Magnetic Materials 2024年 610卷

作者： Tao Hai Kamal Sharma Riyam K. Marjan Babak Farhang Mohamed H. Mahmoud Hassan Fouad Walid El-Shafai School of Computer and Information Qiannan Normal University for Nationalities Duyun Guizhou 558000 China School of Electronics and Information Engineering Ankang University China State Key Laboratory of Public Big Data Guizhou University Guizhou Guiyang 550025 China Institute of Engineering and Technology GLA University Mathura UP 281406 India Department of Intelligent Medical Systems Al-Mustaqbal University College Babylon 51001 Iraq Department of Energy Technology Aalborg University Denmark Department of Biochemistry College of Science King Saud University Riyadh Saudi Arabia Biomedical Engineering Department Faculty of Engineering Helwan University Cairo P.O. Box 11795 Egypt Department Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf 32952 Egypt

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Recent progress of integrated circuits and optoelectronic chips

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Science China(Information Sciences) 2021年第10期64卷 103-135页

作者： Yue HAO Shuiying XIANG Genquan HAN Jincheng ZHANG Xiaohua MA Zhangming ZHU Xingxing GUO Yahui ZHANG Yanan HAN Ziwei SONG Yan LIU Ling YANG Hong ZHOU Jiangyi SHI Wei ZHANG Min XU Weisheng ZHAO Biao PAN Yangqi HUANG Qi LIU Yimao CAI Jian ZHU Xin OU Tiangui YOU Huaqiang WU Bin GAO Zhiyong ZHANG Guoping GUO Yonghua CHEN Yong LIU Xiangfei CHEN Chunlai XUE Xingjun WANG Lixia ZHAO Xihua ZOU Lianshan YAN Ming LI School of Microelectronics Xidian University State Key Laboratory of Integrated Service Networks Xidian University National Integrated Circuit Innovation Center School of Microelectronics Fudan University School of Integrated Circuit Science and Engineering Beihang University China Center for Information Industry Development Frontier Institute of Chip and System Fudan University Institute of Microelectronics Peking University Nanjing Electronic Devices Institute State Key Laboratory of Functional Material for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Institute of Microelectronics Tsinghua University Center for Carbon-based Electronics Department of Electronics Peking University CAS Key Laboratory of Quantum Information University of Science and Technology of China CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Origin Quantum Computing Company Limited Key Laboratory of Flexible Electronics & Institute of Advanced Materials Nanjing Tech University State Key Laboratory of Electronic Thin Films and Integrated Devices School of Optoelectronic Science and EngineeringUniversity of Electronic Science and Technology of China National Laboratory of Solid State Microstructures & College of Engineering and Applied Sciences Nanjing University State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors Chinese Academy of Sciences Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University School of Electrical and Electronic Engineering Tiangong University Center for Information Photonics and Communications School of Information Science and TechnologySouthwest Jiaotong University School of Electronic Electrical and Communication Engineering

Integrated circuits(ICs) and optoelectronic chips are the foundation stones of the modern information society. The IC industry has been driven by the so-called "Moore's law" in the past 60 years, and now has entered the post Moore's law era. In this paper, we review the recent progress of ICs and optoelectronic chips. The research status, technical challenges and development trend of devices, chips and integrated technologies of typical IC and optoelectronic chips are focused on. The main contents include the development law of IC and optoelectronic chip technology, the IC design and processing technology, emerging memory and chip architecture, brain-like chip structure and its mechanism, heterogeneous integration, quantum chip technology, silicon photonics chip technology, integrated microwave photonic chip, and optoelectronic hybrid integrated chip.

关键词： integrated circuit semiconductor science and technology optoelectronic device and chip photonic integrated circuit wide bandgap semiconductors silicon photonics hybrid integration quantum chip integrated microwave photonic photonic neural computing

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