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检索条件"机构=Inst. for Systems and Computer Engineering"

共 163 条记录，以下是11-20 订阅

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FedStar Caching: Decision Center Assisted Federated Cooperative Edge Caching

FedStar Caching: Decision Center Assisted Federated Cooperat...

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IEEE International Conference on Human-Machine systems

作者： Sirvan Gharib Mohammad Mansour Kesargheh S. Jamal Seyedmohammadi Zohreh Hajiakhondi Jamshid Abouei Konstantinos N. Plataniotis Dept. of Electrical Engineering Yazd University Yazd Iran Inst. of Information Systems Engineering Concordia University Montreal Canada Dept. of Electrical Engineering Concordia University Montreal Canada Dept. of Electrical and Computer Engineering University of Toronto Toronto Canada

ISBN: (数字)9798350315790

ISBN: (纸本)9798350315806

With the explosion of data, Wireless Edge Caching (WEC) has become a promising approach for locally accessing cached contents. Due to the limited storage capacity of local caching devices and the varying preferences of humans for content, it is necessary to predict popular contents. In this article, we will address two distinct objectives: 1) Popularity prediction of the content that should be cached at the edge to effectively utilize edge device memory. 2) Edge devices collaboration for efficient content delivery. Accordingly, we propose an FL-based Star Cooperative Caching (FedStar Caching), utilizing a Star network topology for realizing an efficient cooperation among Femto-cell Access Points (FAPs) using a Decision Center (DC) to enhance power efficiency and delay performance. Considering human sensitivity to privacy, collecting users’ data on a central server is not desirable, therefore, we leverage Federated Learning (FL) to alleviate this challenge. Simulation results demonstrate that the proposed method outperforms alternatives in terms of cache efficiency, as well as delay and power consumption.

关键词： Wireless communication Wireless sensor networks Power demand Network topology Cooperative caching Simulation Stars

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Conflict-Based Search and Improvement Strategies for Solving a New Lexicographic Bi-Objective Multi-Agent Path Finding Problem

Conflict-Based Search and Improvement Strategies for Solving...

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2022 IEEE International Conference on systems, Man, and Cybernetics, SMC 2022

作者： Li, Siyi Li, Xingyang Zhou, Mengchu Zhao, Ziyan Liu, Shixin Northeastern University College of Information Science and Engineering Shenyang110819 China Northeastern University Foshan Graduate School of Innovation Foshan528311 China Northeastern University Faculty of Robot Science and Engineering Shenyang110819 China New Jersey Institute of Technology Department of Electrical and Computer Engineering NewarkNJ07102 United States Macao Inst. of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems Macau University of Science and Technology 999078 China

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Multi-Agent Path Finding (MAPF) is an important problem with a variety of applications. Its aim is to find collision-free paths for agents having separate start and goal positions. This work proposes a new lexicographic bi-objective MAPF considering different task types, where agents are divided into two kinds to perform critical and acritical tasks. This is common in practical intelligent warehousing scenarios where a critical/acritical-task-performing agent (called c-agent and a-agent, respectively) may represent a full-load/no-load one or the one conducting urgent/non-urgent tasks. The primary objective is to minimize the sum-of-costs of c-agents, while the secondary objective is to minimize the sum-of-costs of a-agents. Two MAPF algorithms are modified to fit and solve the concerned problem for the first time. Moreover, four improvement strategies are embedded to the proposed algorithms and proved to be effective in solving MAPF problems with different task types. © 2022 IEEE.

关键词： Multi agent systems

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Remote Motor Rehabilitation: EMG-IMU based Deep Learning Model Improves the Estimate of Wrist Kinematics 46

Remote Motor Rehabilitation: EMG-IMU based Deep Learning Mod...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Siviero, Ilaria Helmhold, Florian Ray, Andreas M. Bibián, Carlos Menegaz, Gloria Murguialday, Ander Ramos Storti, Silvia F. Dept. of Computer Science University of Verona Verona Italy Inst. of Medical Psychology and Behavioral Neurobiology University of Tübingen Tübingen Germany Gtc of Neuroscience Imprs for Cognitive and Systems Neuroscience Tübingen Germany Dept. of Engineering for Innovation Medicine University of Verona Verona Italy Tecnalia Basque Research and Technology Alliance San Sebastian Spain Dept. of Neurology and Stroke University of Tübingen Tübingen Germany Athenea Neuroclinics San Sebastian Spain

ISBN: (纸本)9798350371499

Technology for motor rehabilitation faces challenges in uncontrolled settings, such as at home. In these real-world scenarios, robust signals like electromyographic (EMG) and inertial measurement unit (IMU) data are crucial for decoding continuous human actions. Classical modeling methods, such as linear, adaptive, or static filters, lack the capacity to capture complex relationships between surface EMG and kinematics, as well as generalizability across subjects. We propose a deep learning (DL) model for the continuous decoding of hand motion. Custom-made wearable devices acquired EMG-IMU data from 27 healthy subjects performing a wrist flexion/extension task. Two regression models were compared with a hybrid convolutional neural network and a gated recurrent unit. To address inter-subject variability, a leave-one-subject-out cross-validation approach was implemented. The DL model showed a mean R2 increase of 0.18 compared to the polynomial regressor. Our approach enhances wrist kinematics decoding providing a generalized model based on data captured with wearable devices. The findings hold potential for innovative home-based telemedicine solutions in motor rehabilitation. © 2024 IEEE.

关键词： Adaptive filters

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Sparse Gaussian Process Regression using Progressively Growing Learning Representations

Sparse Gaussian Process Regression using Progressively Growi...

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IEEE Conference on Decision and Control

作者： Christos N. Mavridis George P. Kontoudis John S. Baras Department of Electrical and Computer Engineering Institute for Systems Research University of Maryland College Park USA Dept. of Aerospace Engineering Maryland Robotics Center Inst. of Systems Research University of Maryland College Park MD USA

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

We present a new sparse Gaussian process regression model whose covariance function is parameterized by the locations of a progressively growing set of pseudo-inputs generated by an online deterministic annealing optimization algorithm. A series of entropy-regularized optimization problems is solved sequentially, introducing a bifurcation phenomenon, according to which, pseudo-inputs are gradually generated. This results in an active learning approach, which, in contrast to most existing works, can modify already selected pseudo-inputs and is trained using a recursive gradient-free stochastic approximation algorithm. Finally, the proposed algorithm is able to incorporate prior knowledge in the form of a probability density, according to which new observations are sampled. Experimental results showcase the efficacy and potential advantages of the proposed methodology.

关键词： Annealing Gaussian processes Bifurcation Approximation algorithms Optimization

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Towards 3D-Denser Ultrasound Image Simulation from 2D CT-Scan for Ultrasound-Guided Percutaneous Nephrolithotomy Training

Towards 3D-Denser Ultrasound Image Simulation from 2D CT-Sca...

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IEEE International Conference on systems, Man and Cybernetics

作者： Sathiyamoorthy Selladurai Ben Sainsbury James Watterson Rebecca Hibbert Anila Satheesh B Arun K. Thittai Carlos Rossa Department of Systems and Computer Engineering Carleton University Ottawa Ontario Canada Marion Surgical Seguin Ontario Canada Faculty of Medicine Division of Urology University of Ottawa Ottawa ON Canada Department of Radiology Mayo Clinic Rochester MN USA Indian Inst. of Technology Madras Chennai India

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

Virtual reality (VR) simulation can improve the outcomes of percutaneous nephrolithotomy (PNCL) - a surgery to extract kidney stones using ultrasound (US) or fluoroscopy image guidance. These simulators almost exclusively employ fluoroscopy, and no commercial VR simulator is available for US-guided PNCL (usPCNL). In this paper, we proposed the first step towards developing an usPCNL simulator that integrates a volumetric US model of the patient's anatomy derived from parallel 2D computed tomography (CT) scans. A critical challenge in US image generation from CT scans is that the limited spatial resolution of CT slices may lead to inaccuracies in the simulated US images. The proposed algorithm interpolates successive CT images to create an augmented dataset with increased spatial resolution. Each CT slice is then converted into a US image based on principles of linear acoustics and spatial impulse response. These images are then combined to form two different volumetric US images, one derived from the original sparse CT scans, and one created with the augmented data. From these volumetric US images, new images can be formed along arbitrary imaging planes not captured in the original CT data. The obtained simulated images are compared with their corresponding real US images acquired experimentally, and further evaluated quantitatively using normalized root mean square error (NRMSE) and dice similarity coefficient (DSC). The results reveal an NRMSE of $\mathbf{0.235}\pm \mathbf{0.051}$ and a DSC of $\mathbf{0.9139}\pm \mathbf{0.062}$ , showcasing a close resemblance between simulated and actual ultrasound images. Additionally, we show that denser CT scan data leads to a 25% improvement in image quality based on peak signal-to-noise ratio compared to the original dataset. This initial work is laying the foundation for the development of the usPCNL simulator, which could potentially have significant benefits for training and enhancing skills in this medical procedure.

关键词： Training Solid modeling Ultrasonic imaging PSNR Image synthesis Computed tomography Surgery Virtual reality Spatial resolution Root mean square

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Enhancements to the 5G-NR 2-Step RACH: an Unsourced Multiple Access Perspective

Enhancements to the 5G-NR 2-Step RACH: an Unsourced Multiple...

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IEEE Conference on Standards for Communications and Networking (CSCN)

作者： Patrick Agostini Jean-Francois Chamberland Federico Clazzer Johannes Dommel Gianluigi Liva Andrea Munari Krishna Narayanan Yury Polyanskiy Slawomir Stanczak Zoran Utkovski Fraunhofer Heinrich-Hertz-Institut Berlin Germany Dep. of Electrical and Computer Engineering College Station Texas A&M University TX USA German Aerospace Center (DLR) Inst. of Communications and Navigation Wessling Germany Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA USA

ISBN: (数字)9798331507428

ISBN: (纸本)9798331507435

The ever increasing demand for massive connectivity, combined with the specific characteristics of machinegenerated wireless traffic, is pushing the existing solutions for device registration and data transfer beyond their operational limits. In this paper, we target specifically the 3GPP 5G New Radio random access channel, proposing some enhancements inspired by recent research results in the field of unsourced multiple access (UMAC). Aiming to enable massive grant-free connectivity for large machine-type and Internet of things terminals, we focus on modifications of the two-step random access procedures originally introduced in 3GPP Release 16. By means of simulations, we show that remarkable gains in both energy and spectral efficiency can be attained while retaining a strong resemblance to the legacy protocol.

关键词： Wireless communication Fading channels Protocols Spectral efficiency Simulation New Radio 3GPP Internet of Things Standards Signal to noise ratio

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Mm-Wave to Sub-THz Frequencies for Non-Invasive Melamine Detection in Food Safety

Mm-Wave to Sub-THz Frequencies for Non-Invasive Melamine Det...

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IEEE Conference on Antenna Measurements & Applications (CAMA)

作者： Nguyen Ngoc Mai-Khanh Shitaro Takada Keizo Inagaki Ahmad Alkasimi Anh-Vu Pham Akio Higo Bich-Yen Nguyen Tetsuya Kawanishi Systems Design Lab (d.lab) The University of Tokyo Tokyo Japan Faculty of Science and Engineering Waseda University Tokyo Japan National Inst. Of Information and Conmmunications Technology (NICT) Tokyo Japan Department of Electrical and Computer Engineering King Abdulaziz University Jeddah Saudi Arabia Electrical and Computer Engineering University of California Davis California U.S. Soitec France Waseda University Tokyo Japan

This paper presents the exploration of the detection of melamine, a harmful substance, across a wide mm-wave frequency range for food safety applications. The experiment investigates the presence of melamine impurities in rice and milk powders. To conduct the experiment, two different approaches are utilized: a 77-GHz radar approach and a vector network analyzer connected to frequency extenders and standard horn antennas. These approaches cover two frequency bands, namely 220-330 GHz and then 330-500 GHz. The substances involved in the measurements are melamine, milk, rice, and their mixtures. In addition, we propose a technique for the quantitative determination of melamine in mixtures. This method was validated through measurements taken mm-wave frequency range. The results demonstrate the feasibility of determining melamine concentrations in mixtures across diverse mm-wave and sub-THz frequency bands.

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Optical Fiber Sensor for Micro Displacement Monitoring Based on a Balloon-Like Interferometer with a Spring-Shaped Structure

Optical Fiber Sensor for Micro Displacement Monitoring Based...

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SBMO/IEEE MTT-S International Conference on Microwave and Optoelectronics (IMOC)

作者： Victor H. R. Cardoso Paulo Caldas Maria Thereza M. Rocco Giraldi Orlando Frazão João Weyl Costal José L. Santos Applied Electromagnetism Laboratory Federal University of Para Belem Brazil Inst. for Systems and Computer Engineering Technology and Science Porto Portugal Polytech. Inst. of Viana do Castelo R. Escola Industrial e Comercial de Nun 'Alvares Viana do Castelo Portugal Laboratory of Photonics Military Institute of Engineering Rio de Janeiro Brazil Dept. of Physics and Astronomy Faculty of Sciences of U.Porto Porto Portugal

Ahstract-A sensor based on a balloon-like interferometer and a spring-shaped structure for micro curvature measurement is proposed and experimentally demonstrated. The sensor is composed by singlemode fiber inserted into a capillary tube. The experimental results show micro-curvature sensitivities of -35.04 $\text{pm}/\mu \mathrm{m}$ , -28.07 $\text{pm}/\mu \mathrm{m} \mathrm{e}-18.7 \text{pn}/\mu \mathrm{m}$ in the range from 0 to 200 $\mu \mathrm{m}$ for three resonants dips $\lambda_{1}, \lambda_{2}$ and $\lambda_{3}$ , respectively. In addition, the sensor has advantages of easy fabrication, low cost, and satisfactory sensitivity, which shows good results of sensing of micro curvature in some applications.

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Society-Level Software Governance: A Challenging Scenario 42

Society-Level Software Governance: A Challenging Scenario

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42nd IEEE/ACM International Conference on Software engineering Workshops, ICSEW 2020

作者： Musil, Juergen Musil, Angelika Weyns, Danny Biffl, Stefan CDL-SQI Inst. Inf. Systems Engineering TU Wien Austria Dep. of Computer Science KU Leuven Belgium Linnaeus University Växjö Sweden

ISBN: (纸本)9781450379632

The technology-driven transformation process continues to spawn novel, growth-oriented digital application domains and platforms. The user base of these society-level software systems consists of a larger proportion of the community and that involve a large set of stakeholder groups. In case of an incident there is a public demand from a variety of stakeholders for multilateral intervention in order to correct the behavior of the software system. For software engineering as a technical discipline that has been fostered and matured in corporate and organizational context, this is a major challenge because it has to deal with a multitude of multidisciplinary stakeholders and their concerns. In order to stimulate further discussions, we discuss software governance on societal level and identify future research challenges of this increasingly relevant topic. © 2020 ACM.

关键词： computer software

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Goal-Aware RSS for Complex Scenarios via Program Logic

Goal-Aware RSS for Complex Scenarios via Program Logic

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IEEE Symposium on Intelligent Vehicle

作者： Ichiro Hasuo Clovis Eberhart James Haydon Jérémy Dubut Rose Bohrer Tsutomu Kobayashi Sasinee Pruekprasert Xiao-Yi Zhang Erik André Pallas Akihisa Yamada Kohei Suenaga Fuyuki Ishikawa Kenji Kamijo Yoshiyuki Shinya Takamasa Suetomi National Institute of Informatics (NII) Tokyo Japan SOKENDAI (The Graduate University for Advanced Studies) Japan Japanese-French Laboratory for Informatics (IRL 3527) Tokyo Japan Dept. Computer Science Worcester Polytechnic Institute Worcester MA USA Inst. Software & Systems Engineering University of Augsburg Augsburg Germany Cyber Physical Security Research Center AIST Tokyo Japan Graduate School of Informatics Kyoto University Kyoto Japan Mazda Motor Corporation Fuchu Japan

ISBN: (数字)9798350348811

ISBN: (纸本)9798350348828

We introduce a goal-aware extension of responsibility-sensitive safety (RSS), a recent methodology for rule-based safety guarantee for automated driving systems (ADS). Making RSS rules guarantee goal achievement—in addition to collision avoidance as in the original RSS—requires complex planning over long sequences of manoeuvres. To deal with the complexity, we introduce a compositional reasoning framework based on program logic, in which one can systematically develop RSS rules for smaller subscenarios and combine them to obtain RSS rules for bigger scenarios. As the basis of the framework, we introduce a program logic dFHL that accommodates continuous dynamics and safety conditions. Our framework presents a dFHL-based workflow for deriving goal-aware RSS rules; we discuss its software support, too. We conducted experimental evaluation using RSS rules in a safety architecture. Its results show that goal-aware RSS is indeed effective in realising both collision avoidance and goal achievement.

关键词： Intelligent vehicles computer architecture Software Cognition Safety Planning Complexity theory

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