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6th International conference on advanced Communication Technologies and Networking, CommNet 2023

作者： Frist, Youssef Elhabchi, Mourad Srifi, Mohamed Nabil Ibn Tofail University Advanced Systems Engineering Laboratory Ensa Morocco Hassan Ii University Information Processing Laboratory Fsbm Morocco

ISBN: (纸本)9798350329391

In this paper, we introduce a novel frequency-reconfigurable antenna design that leverages the principles of split ring resonator (SRR) and defected ground structure techniques (DGS). These techniques are strategically applied to the antenna's patch and ground, respectively. Additionally, the incorporation of two PIN diodes, situated within the radiating element and the ground plane, introduces the capability to achieve distinct resonant frequencies. Notably, these frequencies span the range of 8 GHz to 26 GHz, effectively covering the x, Ku, and K bands. The configuration of the proposed antenna incorporates two PIN diodes, enabling us to achieve four distinct states. Notably, a majority of the resonant frequencies exhibit a positive gain, resulting in an average gain of 2.55 dBi. Additionally, the peak S11 value is noteworthy, and the VSWR remains consistently below 2 across all resonant frequencies. The radiation pattern in the E-plane is omnidirectional, offering broad coverage, while in the H-plane, we observe a directional radiation pattern predominant at most frequencies. To ensure the reliability of our findings, we employ CST Microwave Studio (MWS) for initial simulations and subsequently validate the outcomes using High-Frequency Structure Simulator (HFSS). © 2023 IEEE.

关键词： Defected ground structures

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Evaluation of On-Robot Depth sensors for Industrial Robotics

Evaluation of On-Robot Depth Sensors for Industrial Robotics

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2023 IEEE International conference on systems, Man, and Cybernetics, SMC 2023

作者： Adamides, Odysseus Alexander Avery, Alexander Subramanian, Karthik Sahin, Ferat Rochester Institute of Technology Electrical Engineering Department Rochester United States Rochester Institute of Technology Computer Engineering Department Rochester United States

ISBN: (纸本)9798350337020

This work evaluates a Continuous Wave (CW) Time-of-Flight (ToF) camera, Stereoscopic camera, and LiDAR to determine if they are potential candidates for point-rich on-robot sensing in Speed and separation monitoring (SSM) applications. These experiments characterize the static and dynamic behaviors of the sensors while mounted on-robot. From these tests, it was found that ToF and Stereo cameras exhibit better performance to their more expensive LiDAR counterpart. Specifically, it was observed that the ToF camera demonstrated better depth accuracy while the Stereo camera generated better 3D reconstruction accuracy. Overall, ToF and Stereo Cameras demonstrate that with continued innovation and integration, these sensors could become the building blocks to point rich on-robot SSM. © 2023 IEEE.

关键词： Angle Dependent Reflectivity Motion Tracking Radius Reconstruction sensor Evaluation Speed and Separation Monitoring Stereoscopic Time-of-Flight

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Intelligence Beyond the Edge using Hyperdimensional Computing 23

Intelligence Beyond the Edge using Hyperdimensional Computin...

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23rd ACM/IEEE International conference on Information Processing in sensor Networks, IPSN 2024

作者： Yu, xiaofan Thomas, Anthony Moreno, Ivannia Gomez Gutierrez, Louis Rosing, Tajana Simunic University of California San Diego La Jolla CA United States Cetys University Campus Tijuana Tijuana Mexico University of California San Diego La Jolla United States

ISBN: (纸本)9798350362015

On-device learning has emerged as a prevailing trend that avoids the slow response time and costly communication of cloud-based learning. The ability to learn continuously and indefinitely in a changing environment, and with resource constraints, is critical for real sensor deployments. However, existing designs are inadequate for practical scenarios with (i) streaming data input, (ii) lack of supervision and (iii) limited on-board resources. In this paper, we design and deploy the first on-device lifelong learning system called LifeHD for general IoT applications with limited supervision. LifeHD is designed based on a novel neurally-inspired and lightweight learning paradigm called Hyperdimensional Computing (HDC). We utilize a two-tier associative memory organization to intelligently store and manage high-dimensional, low-precision vectors, which represent the historical patterns as cluster centroids. We additionally propose two variants of LifeHD to cope with scarce labeled inputs and power constraints. We implement LifeHD on off-the-shelf edge platforms and perform extensive evaluations across three scenarios. Our measurements show that LifeHD improves the unsupervised clustering accuracy by up to 74.8% compared to the state-of-the-art NN-based unsupervised lifelong learning baselines with as much as 34.3x better energy efficiency. Our code is available at https://***/Orienfish/LifeHD. © 2024 IEEE.

关键词： Learning systems

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Simulation Study of High Gain 2.45 GHz Wearable Microstrip Patch Antenna for WSN applications 2

Simulation Study of High Gain 2.45 GHz Wearable Microstrip P...

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2nd International conference on Power systems and Electrical Technology, PSET 2023

作者： Singh, Damanpreet Kaur, Ranjit Singh, Jaspreet Sant Longowal Institute of Engineering and Technology Deptt. of Computer Science and Engg. Longowal India Punjabi University Patiala Deptt. of Electronics and Communication Engineering Patiala India

ISBN: (纸本)9798350339703

Wearable textile antennas have more potential applications, due to the expanding use of wireless wearable communications in smart clothing systems. Specifically, the advanced wearable Internet of things (IoT's) devices led to mandate flexible antennas with better electrical and safety requirements. In this manuscript, a complete design of 2.45 GHz resonanted flexible antenna has been investigated and proposed for wireless sensor networks (WSNs) applications. The geometry of proposed antenna with partial ground of $55.02\ \text{mm}\times 55.86$ mm, substrate of $73.66\ \text{mm}\times 58.98\ \text{mm}$ and rectangular patch of $66.46\ \text{mm}\times 48.98\ \text{mm}$ has been employed. The defected ground structure (DGS) methodology with low dielectric constant ($\varepsilon_{\mathrm{r}}$) flexible substrate has been employed to enhance the performance parameters of proposed antenna. The defected ground plane & patch of the designed antenna is made up of Perfect Electric Conductor (PEC) with a thickness of 0.05 mm. In the given antenna design, denim is a textile material, used as substrate having dielectric constant ($\varepsilon_{\mathrm{r}}$) of 1.6 with thickness of 2.1 mm. The prototype antenna's performance has been evaluated in terms of input impedance, voltage standing wave ratio (VSWR), gain (dB), directivity (dBi). The wearable antenna has been resonated at 2.45 GHz frequency with gain and directivity of 5.47 dB and 7.96 dBi, respectively with minimal return loss of -53.18 dB. The proposed textile antenna has bandwidth of 80 MHz with input impedance of 50 ohms. The novelty of this work is miniature in size and flexibility with better outcomes than previous investigations. It's compact size and flexibility enable the structure to be easily integrated into wearable IoT devices such as rain coats, safety jackets, etcetera for health care, tracking, and rescue/search determinations. The simulations have been carried out using computer simulation technology (CST

关键词： Wearable antennas

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Design Space Exploration of HPC systems with Random Forest-based Bayesian Optimization 24

Design Space Exploration of HPC Systems with Random Forest-b...

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Rapido Workshop on Rapid Simulation and Performance Evaluation - Methods and Tools (Rapido) / HiPEAC conference

作者： Fu, Vincent Zaourar, Lilia Munier-Kordon, Alix Duranton, Marc Univ Paris Saclay CEA List Palaiseau France Sorbonne Univ CNRS LIP6 Paris France

ISBN: (纸本)9798400717918

Nowadays, High-Performance Computing (HPC) systems need to deliver computational performance by processing complex applications and workloads at high speeds in parallel. To provide computing power, Multiprocessor System-on-Chip, the main design paradigm, is scaled with advanced technology nodes and even with heterogeneity. These improvements open up more design possibilities, leading to an increase in its complexity. Therefore, chip designers are facing unprecedented challenges to find the best Power, Performance, and Area architectural configurations, inducing a Design Space Exploration problem. This work proposes a complete framework to ease the next generation of HPC processor designs. By combining competitive simulators VPSim and McPAT for a realistic estimation of Key Performance Indicators, with a time-consuming simulation-adapted exploration algorithm such as Bayesian Optimization, we leveraged an Automated Design Space Exploration for efficient HPC processor designs based on ARMv8 architecture. We have also demonstrated the potential of Bayesian Optimization to reach a similar or even larger Pareto front than Genetic Algorithm while being around 2x to 5x sample-efficient. Furthermore, the diversity of the obtained Pareto-front enables deep analysis of relevant architectural parameters that significantly impact design performances and thus, empowering architects' knowledge for further targeted design exploration and design choices.

关键词： Automated Design Space Exploration High-Performance Computing Multiprocessor System-on-Chip Bayesian Optimization Random Forest

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Mitigating GPU Side-Channels via Integrated Monitoring and Response 2

Mitigating GPU Side-Channels via Integrated Monitoring and R...

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2nd IEEE International conference on Integrated Circuits and Communication systems, ICICACS 2024

作者： Lungu, Nelson Tembo, Simon Walubita, Ngula Patra, Sudhansu Shekhar University of Zambia Electrical and Electronical Engineering Lusaka Zambia Mukuni Secondary School Livingstone Zambia KIIT Deemed to be University School of Computer Applications Bhubaneswar India

ISBN: (纸本)9798350317558

Graphics processing units (GPUs) are increasingly employed in security-sensitive domains, making side-channel attacks on shader execution a pressing threat. We present an integrated shader execution framework incorporating real-time performance monitoring, machine learning anomaly detection, and architecture-aware response primitives to detect and mitigate GPU side-channel vulnerabilities with minimal overhead reliably. A shader execution monitors non-invasively profiles hardware counters to extract execution features, passed to an isolation forest classifier for attack detection within 50ms. Transparent mitigations like cache flushing, warp throttling, and shuffle masking are triggered to disrupt identified side channels by leveraging GPU architectural capabilities. Evaluations against simulated attacks demonstrate that the framework reduces key leakage by 4-5x and achieves over 80% attack disruption for a 400ms attack at under 5% performance cost. The integrated GPU-specific security solution significantly enhances real-world shader execution protection against side-channel risks. This paper present an integrated shader execution framework that leverages advanced monitoring, anomaly detection, and finely tuned response mechanisms. © 2024 IEEE.

关键词： anomaly detection GPU security shader execution side-channel attacks

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BLDC Motor Trapezoidal Regulation Using Hall Effect sensor

BLDC Motor Trapezoidal Regulation Using Hall Effect Sensor

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Intelligent systems and advanced applications (ICISAA), International conference on

作者： Hansa Bhatiya Dushyant Patil Shriram Makune Swaraj Kadam Vishal Mahajan Harshal Vaidya Department of Electrical Engineering Dr. D. Y. Patil Institute of Technology Pimpri Pune India Department of Electrical Engineering R. C. Patel College of Polytechnic India Department of Engineering Science Marathwada Mitramandal’s IoT Lohgaon Pune

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

BLDC motors provide excellent performance, durability, and efficiency, making them ideal for a variety of applications. The motor was operated by means of the six-step commutation process of the trapezoidal control approach, which was applied to the exact rotor position data obtained via Hall effect sensors. This approach perfectly times the commutation sequence, reducing torque ripple and improving motor performance. The design, modeling, and experimental findings validated the effectiveness of the proposed control technique, suggesting that it can be used to maximize BLDC motor performance in commercial and industrial applications.

关键词： Commutation Velocity control Rotors Process control Hall effect Stability analysis Regulation sensors Torque measurement Reliability

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A machine learning-based state estimation approach for varying noise distributions 32

A machine learning-based state estimation approach for varyi...

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conference on Signal Processing, sensor/Information Fusion, and Target Recognition xxxII

作者： Hilal, Waleed Gadsden, Stephen A. Yawney, John McMaster Univ 1280 Main St Hamilton ON L8S 4L8 Canada Adastra Corp 200 Bay St Toronto ON M5J 2J2 Canada

ISBN: (数字)9781510662117

ISBN: (纸本)9781510662100;9781510662117

The field of estimation theory is concerned with providing a system with the ability to extract relevant information about the environment, resulting in more effective interaction with the system's surroundings through more well-informed, robust control actions. However, environments often exhibit high degrees of nonlinearity and other unwanted effects, posing a significant problem to popular techniques like the Kalman filter (KF), which yields an optimal only under specific conditions. One of these conditions is that the system and measurement noises are Gaussian, zero-mean with known covariance, a condition often hard to satisfy in practical applications. This research aims to address this issue by proposing a machine learning-based estimation approach capable of dealing with a wider range of noise types without the need for a known covariance. Harnessing the generative capabilities of machine learning techniques, we will demonstrate that the resultant model will prove to be a robust estimation strategy. Experimental simulations are carried out comparing the proposed approach with other conventional approaches on different varieties of functions corrupted by noises of varying distribution types.

关键词： Estimation theory Kalman filter machine learning robust estimation signal filtering nonlinear systems non-Gaussian noise

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AraSync: Precision Time Synchronization in Rural Wireless Living Lab 30

AraSync: Precision Time Synchronization in Rural Wireless Li...

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30th International conference on Mobile Computing and Networking, ACM MobiCom 2024

作者： Nadim, Md Islam, Taimoor Ul Reddy, Salil Zhang, Tianyi Meng, Zhibo Afzal, Reshal Babu, Sarath Ahmad, Arsalan Qiao, Daji Arora, Anish Zhang, Hongwei Iowa State University United States Ohio State University United States

ISBN: (纸本)9798400704895

Time synchronization is a critical component in network operation and management, and it is also required by Ultra-Reliable, Low-Latency Communications (URLLC) in next-generation wireless systems such as those of 5G, 6G, and Open RAN. In this context, we design and implement AraSync as an end-to-end time synchronization system in the ARA wireless living lab to enable advanced wireless experiments and applications involving stringent time constraints. We make use of Precision Time Protocol (PTP) at different levels to achieve synchronization accuracy in the order of nanoseconds. Along with fiber networks, AraSync enables time synchronization across the AraHaul wireless x-haul network consisting of long-range, high-capacity mmWave and microwave links. In this paper, we present the detailed design and implementation of AraSync, including its hardware and software components and the PTP network topology. Further, we experimentally characterize the performance of AraSync from spatial and temporal dimensions. Our measurement and analysis of the clock offset and mean path delay show the impact of the wireless channel and weather conditions on the PTP synchronization accuracy. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： 5G mobile communication systems

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Preface: The 1^st International conference on advanced Computing, systems and applications (InCASA 2023)

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AIP conference Proceedings 2024年第1期3135卷

作者： Ku Azir, Ku Nurul Fazira

Preface: The 1st International conference on advanced Computing, systems and applications (InCASA 2023), AIP conference Proceedings, Volume 3135, Issue 1,

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