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检索条件"任意字段=IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

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A Branch-and-Bound Algorithm for computing the Reliable Isolated Zeros of Multivariate Polynomial Functions systems 23

A Branch-and-Bound Algorithm for Computing the Reliable Isol...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in Sensor, Cloud and Big Data systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Chen, Cheng Chen, Liangyu Zeng, Zhenbing Lin, Dang East China Normal University Shanghai Key Lab of Trustworthy Computing Shanghai200062 China Shanghai University Department of Mathematics Shanghai200444 China

ISBN: (纸本)9781665494571

In this paper, we present an algorithm using the GPGPU machine to compute the interval solutions of isolated real zeros of multivariate polynomial functions in given ranges. To overcome the state space explosion in the process of searching zero points, we combine the branch-and-bound method and the Hansen-Sengupta method, and the interval arithmetic has been used throughout the computation to guarantee the reliability of results. The computation is implemented on GPGPU system, and experiments for 55 benchmark problems have been done. The result shows our method can produce reliable isolation for real zeros in accepted time. © 2021 ieee.

关键词： Smart cities Benchmark testing Explosions Reliability Parallel algorithms Optimization Arithmetic

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ReACT: Reinforcement Learning for Controller Parametrization Using B-Spline Geometries

ReACT: Reinforcement Learning for Controller Parametrization...

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2023 ieee international conference on systems, Man, and Cybernetics, SMC 2023

作者： Rudolf, Thomas Flögel, Daniel Schürmann, Tobias Süß, Simon Schwab, Stefan Hohmann, Sören FZI Research Center for Information Technology Embedded Systems and Sensors Engineering Department Karlsruhe76131 Germany Institute of Control Systems The Karlsruhe Institute of Technology Karlsruhe76131 Germany

ISBN: (纸本)9798350337020

Robust and performant controllers are essential for industrial applications. However, deriving controller parameters for complex and nonlinear systems is challenging and time-consuming. To facilitate automatic controller parametrization, this work presents a novel approach using deep reinforcement learning (DRL) with N-dimensional B-spline geometries (BSGs). We focus on the control of parameter-variant systems, a class of systems with complex behavior which depends on the operating conditions. For this system class, gain-scheduling control structures are widely used in applications across industries due to well-known design principles. Facilitating the expensive controller parametrization task regarding these control structures, we deploy an DRL agent. Based on control system observations, the agent autonomously decides how to adapt the controller parameters. We make the adaptation process more efficient by introducing BSGs to map the controller parameters which may depend on numerous operating conditions. To preprocess time-series data and extract a fixed-length feature vector, we use a long short-term memory (LSTM) neural networks. Furthermore, this work contributes actor regularizations that are relevant to real-world environments which differ from training. Accordingly, we apply dropout layer normalization to the actor and critic networks of the truncated quantile critic (TQC) algorithm. To show our approach's working principle and effectiveness, we train and evaluate the DRL agent on the parametrization task of an industrial control structure with parameter lookup tables. © 2023 ieee.

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Dual Band Metamaterial Absorber For S And C Band applications 3

Dual Band Metamaterial Absorber For S And C Band Application...

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3rd international conference on Advances in computing, Communication, embedded and Secure systems, ACCESS 2023

作者： Parameswaran, Athul Rahul Manohar, O. Christ College of Engineering Department of Electronics and Communications Kerala India

ISBN: (纸本)9798350346169

This paper describes the design of a low frequency dual band metamaterial absorber. The unit cell of the proposed absorber contains 3 hexagonal split ring resonators with four wave trappers encircled in a circular ring resonator. The modelling and simulation of the unit cell with a dimension of 32mm X 32mm are carried out in ANSYS HFSS. For enhancing the absorption capability, complete metal backing is provided for the proposed structure. On simulation, perfect absorption is achieved at 2.4 GHz (ISM band) and 5.3 GHz (satellite band) frequencies. The metamaterial element is modelled on FR4_epoxy substrate with a dielectric constant of 4.4 and loss tangent of 0.02. The metamaterial properties of the proposed structure are investigated using S- parameter retrieval method and found to have perfect double negative behavior at 2.4GHz. © 2023 ieee.

关键词： Metamaterials

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Experimental Analysis of Wireless TSN Networks for real-time applications 28

Experimental Analysis of Wireless TSN Networks for Real-time...

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28th ieee international conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Satka, Zenepe Barhia, Deepa Saud, Sobia Mubeen, Saad Ashjaei, Mohammad Mälardalen University Västerås Sweden

ISBN: (纸本)9798350339918

Wireless time-Sensitive Networks (TSN) are needed to fulfill the requirements of real-time applications in areas where wired connections are not feasible. Wireless TSN combines the real-time capabilities of TSN with the flexibility of wireless connectivity opening a path for new use cases while providing determinism to time-critical scenarios such as autonomous vehicles. Industrial automation is integrating TSN with various wireless technologies such as WiFi, 4G, and 5G. This paper presents an ongoing work which aim is to experimentally analyze the performance of TSN when integrated with 4G, 5G, and WiFi in real-world scenarios. This will help both the researchers and industries to have a clear view of the network performance regarding the end-to-end latency requirements when designing their applications and use cases. © 2023 ieee.

关键词： Wi-Fi

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real-time Visual Inertial Odometry with a Resource-Efficient Harris Corner Detection Accelerator on FPGA Platform*

Real-Time Visual Inertial Odometry with a Resource-Efficient...

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ieee/RSJ international conference on Intelligent Robots and systems (IROS)

作者： Gu, Pengfei Meng, Ziyang Zhou, Pengkun Tsinghua Univ Dept Precis Instrument Beijing 100084 Peoples R China

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

Visual Inertial Odometry (VIO) is a widely studied localization technique in robotics. State-of-the-art VIO algorithms are composed of two parts: a frontend which performs visual perception and inertial measurement pre-processing, and a backend which fuses vision and inertial measurements to estimate the robot's pose. Both image processing in the frontend and sensor fusion in the backend are computationally expensive, making it very challenging to run the VIO algorithm, especially the optimization-based VIO algorithm in real time on embedded platforms with limited power budget. In this paper, a real-time optimization-based monocular VIO algorithm is proposed based on algorithm-and-hardware codesign and successfully implemented on an embedded platform with only 2.6W processor power consumption. In particular, the time-consuming Harris corner detection (HCD) is accelerated on Field Programmable Gate Array (FPGA), achieving an average 16x processing time reduction compared with the ARM implementation. Compared with the state-of-the-art HCD accelerator provided by Xilinx, the hardware resource required of our accelerator is largely reduced without any compromise in speed, thanks to the proposed dedicated pruning and parallelization techniques. Finally, experiment on the public dataset demonstrates that the proposed real-time VIO algorithm on the FPGA-based platform has comparable accuracy with respect to the existing state-of-the-art VIO algorithm on the desktop, and 3 x faster frontend processing speed over the ARM-based implementation.

关键词： Visualization Power demand Sensor fusion Robot sensing systems real-time systems Hardware Resource management

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IoT-Based Waste Management Devices: A Comprehensive Analysis 2

IoT-Based Waste Management Devices: A Comprehensive Analysis

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2nd international conference on Networking, embedded and Wireless systems, ICNEWS 2024

作者： Gupta, Neha Batra, Mridula Agrawal, Rashmi Arora, Kavita School of Computer Applications Manav Rachna International Institute of Research & Studies Haryana Faridabad India

ISBN: (纸本)9798350367461

Waste management has become an important challenge that threatens biodiversity, puts public and environmental health at risk, and slows down economic efficiency. It is apparent that tensional waste management measures are implemented very rarely. It lacks live monitoring, proper resource allocation, and so on. The appearance of the Internet of Things (IoT) involved new hi-tech items that can record, process, and forward data in waste collection and recycling processes for the best output. The paper provides a comprehensive description of IoT-based waste management devices, including their technology components and potential utility in a waste management role. A review of the effectiveness of a range of IoT waste management systems is being conducted, and the functional differences and pros and cons of each system are also being analyzed. Furthermore, we discuss the acceptance of these devices by cloud computing and data analytics for improved decision-making and resource use optimization. The results demonstrate the high performance achievement in increasing waste collection efficiency, recycling rates, and sustainability strengthening through the application of internet of things (IoT)-based waste management solutions. © 2024 ieee.

关键词： Waste utilization

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The TinyOS operating system for wireless sensor networks with a hybrid scheduler 2

The TinyOS operating system for wireless sensor networks wit...

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2nd ieee international conference on Networks, Multimedia and Information Technology, NMITCON 2024

作者： Patil, Anita Jagadish, R.M. Janthakal, Sheetal Ballari Institute of Technology and Management Dept. of Cse Bellary India Bellary India

ISBN: (纸本)9798350372892

WSN is the basis for various applications of varying requirements including evergreen technologies like IoT. The architecture of WSN faces many challenges like numerous tiny-sized nodes with low power, wireless communication in particular radio range, being exposed to drastically changing surrounding nature, dynamically changing network size, etc. Thus, WSN needs the support of hardware, software, and operating systems installed in it. At present, there are many operating systems available such as TinyOS, Free-RTOS, RIOT, Contiki, etc. The same set of OS is used by IoT also. Among these TinyOS is the widely used, highly documented, popular, and most suitable OS for low-power devices. The only drawback of TinyOS is the availability of a single scheduler that works in FCFS (First Come First Serve) order which can't support real-time applications. This research proposes a new hybrid scheduler that provides both FCFS and priority schedulers. Schedulers' performance analysis is done by taking the scheduling criteria AWT (Average Waiting time), and ATT (Average Turnaround time). © 2024 ieee.

关键词： operating systems for WSN Research issues in WSN scheduling in TinyOS TinyOS-2.1.2

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FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge systems 15

FELARE: Fair Scheduling of Machine Learning Tasks on Heterog...

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15th ieee international conference on Cloud computing (ieee CLOUD) / ieee World Congress on Services (ieee SERVICES)

作者： Mokhtari, Ali Hossen, Md Abir Jamshidi, Pooyan Salehi, Mohsen Amini Univ Louisiana Lafayette HPCC Lab Sch Comp & Informat Lafayette LA 70504 USA Univ South Carolina Coll Engn & Comp Columbia SC 29208 USA

ISBN: (数字)9781665481373

ISBN: (纸本)9781665481373

Edge computing enables smart IoT-based systems via concurrent and continuous execution of latency-sensitive machine learning (ML) applications. These edge-based machine learning systems are often battery-powered (i.e., energy-limited). They use heterogeneous resources with diverse computing performance (e.g., CPU, GPU, and/or FPGA) to fulfill the latency constraints of ML applications. The challenge is to allocate user requests for different ML applications on the Heterogeneous Edge computing systems (HEC) with respect to both the energy and latency constraints of these systems. To this end, we study and analyze resource allocation solutions that can increase the on-time task completion rate while considering the energy constraint. Importantly, we investigate edge-friendly (lightweight) multi objective mapping heuristics that do not become biased toward a particular application type to achieve the objectives;instead, the heuristics consider "fairness" across the concurrent ML applications in their mapping decisions. Performance evaluations demonstrate that the proposed heuristic outperforms widely-used heuristics in heterogeneous systems in terms of the latency and energy objectives, particularly, at low to moderate request arrival rates. We observed 8.9% improvement in on-time task completion rate and 12.6% in energy-saving without imposing any significant overhead on the edge system.

关键词： Heterogeneous Edge computing (HEC) Resource Allocation Machine Learning (ML) systems Energy Efficiency Latency-aware resource allocation Fair Scheduling

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Home Energy Management systems (HEMS) Control Strategies Testing and Validation: Design of a Laboratory Setup for Power Hardware-in-the-loop (PHIL) considering Multi-timescale Co-Simulation at the Smart Grids Test Lab, Morocco 12

Home Energy Management Systems (HEMS) Control Strategies Tes...

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12th international conference on Renewable Energy Research and applications (ICRERA)

作者： Rochd, Abdelilah Laamim, Mohamed Benazzouz, Aboubakr Kissaoui, Mohamed Raihani, Abdelhadi Guerrero, Josep M. Green Energy Pk GEP Reg Rd Kelaa Km 3R206 Benguerir Morocco Hassan II Univ Casablanca Elect Engn & Intelligent Syst Lab ENSET Mohammedia Casablanca Morocco Hassan II Univ Casablanca LSIB Lab FST Casablanca Morocco Aalborg Univ Dept Energy Technol Aalborg Denmark

ISBN: (纸本)9798350337938

In the context of advancing Home Energy Management systems (HEMS) technology and optimizing residential energy management, this paper introduces the design of a laboratory setup at the Smart Grids Test Lab (SGTL) to rigorously test and validate HEMS control strategies. Leveraging the principles of real-time simulation, this setup integrates Power Hardware-in-the-Loop (PHIL) simulation with a multi-timescale co-simulation framework, allowing for comprehensive and multifaceted evaluation of HEMS control strategies in dynamic and realistic scenarios. The laboratory configuration encompasses a range of interconnected components, including AC and DC power sources, variable loads, a solar PV emulator, a Battery Energy Storage System (BESS) emulator, a Digital real-time Simulator (DRTS), and a supervisory controller. The pivotal feature of the setup lies in i) its integration of real-time simulation principles, which ensures that the simulation and physical components operate synchronously with actual time, as well as ii) co-simulation to consider the multi-energy aspect of residential buildings and associated appliances (electricity, heat, gaz, etc.). Consequently, HEMS control strategies can be subjected to varying conditions such as weather fluctuations, generation profiles, electricity and heat consumption profiles, tariff schemes, and user preferences, allowing for a comprehensive evaluation of their capabilities. Furthermore, this paper incorporates a HEMS case study from a prior work of the team to give a practical applicability and relevance to the proposed laboratory setup.

关键词： Home Energy Management systems (HEMS) Control strategies Power Hardware-in-the-loop (PHIL) real-time Simulation Multi-timescale co-simulation Smart Grids Test Lab (SGTL) Laboratory setup

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real-time Controller Hardware-In-the-Loop Cyber Physical Testbed Using IEC 61850 GOOSE Protocol

Real-Time Controller Hardware-In-the-Loop Cyber Physical Tes...

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2024 international conference on Power System Technology

作者： Basumatary, Khwrwmdao Shukla, Anup Gonzalez-Longatt, Francisco Indian Inst Technol Dept Elect Engn Jammu India Loughborough Univ Digital Energy Syst Lab Loughborough Leics England

ISBN: (纸本)9798350351293;9798350351286

The future medium-voltage (MV) distribution system will see more Distributed Energy Resources (DERs) and a higher proliferation of multi-vendor Intelligent Electronic Devices (IEDs) for node monitoring and feeder protection against faults. Recently, the IEC 61850 standard Generic Object Oriented Substation Event (GOOSE) protocol has been widely deployed for real-time monitoring, substation automation, and interoperability in power systems. However, the reliability of IEDs and GOOSE communication is critical due to evolving cyber-threats;this urgency stresses the importance of cyber-physical models to analyse the operational compatibility and vulnerabilities prior to deployment in the grid. This paper developed a Cyber-Physical Testbed that integrates a feeder protection relay (SEL-751) and real-time Automation Controller (SEL-3350 RTAC) with a high-fidelity real-time Digital Simulator (RTDS) via the GOOSE protocol. The feasibility of the testbed is validated with the RTDS in benchmark CIGRE European MV network, and performance is evaluated in two operating scenarios: steady-state and bolted 3-phase fault;and subsequently, frequency, active power, voltage, current and circuit breaker status were monitored in RTAC. Upon successful validation, the testbed is fit for applications such as assessing cyber-threats, testing control algorithms and resiliency;it also serves as a foundation for researchers and automation engineers who are new to IEC 61850 GOOSE.

关键词： IEC 61850 GOOSE Cyber-physical systems Automation controller Feeder protection Cyber-attack

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