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Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Fei Zhao Kuang Yang Ruixiang Liu Jincheng Yu S M Sajjad Hossain Rafin Qasim Ali School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China Dept. of Electrical and Computer Engineering Energy Systems Research Laboratory Florida International University USA Department of Electrical Engineering Sukkur IBA University Pakistan

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

In view of the complexity of the flux density harmonic components of bilateral-excitation flux modulation (BFM) machines, it is not easy to analyze the role of air-gap flux density harmonics on the electromagnetic torque of BFM machines. In this digest, Taking the novel asymmetric stator tooth (AST) BFM machine as the research object, the flux modulation phenomena of the PM magneto motive-force (MMF) and armature winding MMF are analyzed in detail. Meanwhile, based on the air-gap field modulation theory and Maxwell stress tensor equation, the contribution of air-gap flux density harmonics to the electromagnetic torque of the BFM machine is obtained.

关键词： Magnetic flux Torque Tensors Magnetomechanical effects Air gaps Windings Modulation

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A Multicore Implementation of an AUTOSAR-based XCP Module

A Multicore Implementation of an AUTOSAR-based XCP Module

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Mediterranean Conference on Embedded Computing (MECO)

作者： Mahmoud Osama Sherif Hammad Nancy E. ElHady M. Watheq El-Kharashi Dept. of Computer & Systems Eng. Faculty of Engineering Ain Shams University Cairo Egypt Garraio CEO Cairo Egypt Dept. of Mechatronics Eng. Faculty of Engineering Ain Shams University Cairo Egypt

The automotive industry depends on computers to control and monitor vehicles behaviour. The Universal Measurement and Calibration Protocol (XCP) connects calibration systems to electronic control units (ECUs). Nowadays, AUTOSAR-based XCP for single core ECUs is widely used in automotive industry. As the demand for computing power is rapidly increasing in the automotive domain, car manufacturers are gradually introducing multi-core ECUs in their electronic architectures. Multi-core ECUs provide high level of parallelism. This research work aims to deliver a multi-core implementation of an AUTOSAR-based XCP module, as it is important to have an efficient process of measurement and calibration on multi-core targets. The paper results are ensuring data consistency on the application level, avoiding race conditions between writer core and reader core which might result in processing rubbish data, and decreasing data dependency between cores.

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Pursuit-Evasion on a Sphere and When It Can Be Considered Flat

arXiv

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arXiv 2024年

作者： Milutinović, Dejan Von Moll, Alexander Manyam, Satyanarayana G. Casbeer, David W. Weintraub, Isaac E. Pachter, Meir Electrical and Computer Engineering Dept. University of California Santa Cruz Santa CruzCA United States The Control Science Center Aerospace Systems Directorate Air Force Research Laboratory DaytonOH45435 United States DCS Corporation DaytonOH United States Dept. of Electrical Engineering Air Force Institute of Technology Wright-Patterson AFB OH United States

In classical works on a planar differential pursuit-evasion game with a faster pursuer, the intercept point resulting from the equilibrium strategies lies on the Apollonius circle. This property was exploited for the construction of the equilibrium strategies for two faster pursuers against one evader. Extensions for planar multiple-pursuer single-evader scenarios have been considered. We study a pursuit-evasion game on a sphere and the relation of the equilibrium intercept point to the Apollonius domain on the sphere. The domain is a generalization of the planar Apollonius circle set. We find a condition resulting in the intercept point belonging to the Apollonius domain, which is the characteristic of the planar game solution. Finally, we use this characteristic to discuss pursuit and evasion strategies in the context of two pursuers and a single slower evader on the sphere and illustrate it using numerical *** Codes 58E10, 86A30, 37D40, 91A23, 49L12, 49Q10 © 2024, CC BY-NC-ND.

关键词： Spheres

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Effective dimension in bandit problems under censorship 22

Effective dimension in bandit problems under censorship

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Proceedings of the 36th International Conference on Neural Information Processing systems

作者： Gauthier Guinet Saurabh Amin Patrick Jaillet AWS AI Labs MIT and Dept. of Civil and Environmental Engineering & Laboratory for Information and Decision Systems MIT and Dept. of Electrical Engineering and Computer Science & Laboratory for Information and Decision Systems

ISBN: (纸本)9781713871088

In this paper, we study both multi-armed and contextual bandit problems in censored environments. Our goal is to estimate the performance loss due to censorship in the context of classical algorithms designed for uncensored environments. Our main contributions include the introduction of a broad class of censorship models and their analysis in terms of the effective dimension of the problem - a natural measure of its underlying statistical complexity and main driver of the regret bound. In particular, the effective dimension allows us to maintain the structure of the original problem at first order, while embedding it in a bigger space, and thus naturally leads to results analogous to uncensored settings. Our analysis involves a continuous generalization of the Elliptical Potential Inequality, which we believe is of independent interest. We also discover an interesting property of decision- making under censorship: a transient phase during which initial misspecification of censorship is self-corrected at an extra cost; followed by a stationary phase that reflects the inherent slowdown of learning governed by the effective dimension. Our results are useful for applications of sequential decision-making models where the feedback received depends on strategic uncertainty (e.g., agents' willingness to follow a recommendation) and/or random uncertainty (e.g., loss or delay in arrival of information).

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Predictive Follow the Gap Method for Dynamic Obstacle Avoidance

Predictive Follow the Gap Method for Dynamic Obstacle Avoida...

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International Workshop on Robot Motion and control (RoMoCo)

作者： Emre Can Contarli Volkan Sezer Control and Automation Engineering Dept. Faculty of Electrical and Electronics Engineering Istanbul Technical University Maslak ISTANBUL Türkiye Smart and Autonomous Systems Laboratory (SASLab) Istanbul Technical University Maslak ISTANBUL Türkiye

ISBN: (数字)9798350393965

ISBN: (纸本)9798350393972

Advancements in autonomous mobile robots hinge on refining key components like mapping and path planning to address identified limitations. The local planner, crucial for obstacle avoidance, is a component of path planning. The Follow the Gap Method (FGM) stands out as a simple and effective obstacle avoidance algorithm. FGM calculates possible passage points by assessing gap sizes and positions of obstacles. Our focus lies in enhancing FGM's adaptability to dynamic environments. Introducing Predictive FGM, we incorporate robot and dynamic obstacle data to forecast future gaps and obstacle states. By integrating predictive elements, the algorithm selects gaps based on anticipated changes, enabling safer navigation by predicting the states of gaps and obstacles when they are closest to the robot. Evaluation via Monte Carlo simulations and real-world experiments with an autonomous wheelchair in dynamic environments show the effectiveness of Predictive FGM over standard FGM.

关键词： Robot motion Monte Carlo methods Navigation Heuristic algorithms Wheelchairs Prediction algorithms Path planning

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A Novel Transfer Learning Framework for Diagnosing Covid-19 from Chest X-Ray Images with Minimal Computational Resources

SSRN

引用

SSRN 2023年

作者： Abdelwahed, Ahmed Helmi, Ahmed M. Issa, Mohamed Computer and Systems Department Faculty of Engineering Zagazig University Egypt Computer Engineering Dept. Engineering and Information Technology College Buraydah Private Colleges Saudi Arabia Faculty of Computer Science and Information Technology Egypt−Japan University for Science and Technology Egypt

Deep learning proved effective in detecting COVID-19 from chest X-ray images. Although computing is the current bottleneck in training and deploying models, few studies focus on developing efficient frameworks while many aim only at performance. We propose a novel framework for detecting COVID-19 cases from chest X-ray images efficiently. Our study utilizes four high-performing architectures, including MobileNetV3, RegNetX, NasNetMobile, and EfficientNetV2, which use minimal resources, to extract features from X-ray images and classify COVID-19 cases using various statistical models and machine learning algorithms. We evaluated our proposed framework using metrics such as accuracy, precision, recall, specificity, f1-score, and AUC scores. The false negative rate for each feature extractor and classifier pair is reported, and the average inference time, to measure resource efficiency, is calculated. The results show that EfficientNetV2 was the best-performing feature extractor, while MobileNetV3 had the best average inference time and the lowest false negative rate. The Neural Network classifier performed the best, with state-of-the-art accuracy reaching 99.28%, followed by both RBF-SVM and XGBoost. The proposed framework is more robust, reliable, and resource-efficient for COVID-19 detection compared to existing literature. Our findings indicate the prospects of using the proposed framework in efficient clinical diagnosis. © 2023, The Authors. All rights reserved.

关键词： COVID-19

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Improving the Derivation of Sound Security Metrics

Improving the Derivation of Sound Security Metrics

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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： George O. M. Yee Dept. of Systems and Computer Engineering Computer Research Lab Aptusinnova Inc. Carleton University Ottawa Canada

ISBN: (数字)9781665488105

ISBN: (纸本)9781665488112

We continue to tackle the problem of poorly defined security metrics by building on and improving our previous work on designing sound security metrics. We reformulate the previous method into a set of conditions that are clearer and more widely applicable for deriving sound security metrics. We also modify and enhance some concepts that led to an unforeseen weakness in the previous method that was subsequently found by users, thereby eliminating this weakness from the conditions. We present examples showing how the conditions can be used to obtain sound security metrics. To demonstrate the conditions' versatility, we apply them to show that an aggregate security metric made up of sound security metrics is also sound. This is useful where the use of an aggregate measure may be preferred, to more easily understand the security of a system.

关键词： Measurement Aggregates Conferences Buildings Software Security

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A 5G Waveforms Detection based-Windowed Cosine-Hamming Filter 3

A 5G Waveforms Detection based-Windowed Cosine-Hamming Filte...

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3rd International Conference on Advance of Sustainable engineering and its Application, ICASEA 2021

作者： Alghrairi, Waleed Sulaiman, Nasri Isa, Maryam M. Sahbudin, Ratna K. Z. Hassan, Siti Lailatul M. Salman, Emad Hmood Universiti Putra Malaysia Faculty of Engineering Dept. of Electrical and Electronic Engineering Selangor Malaysia Universiti Putra Malaysia Faculty of Engineering Dept. of Computer and Communication Systems Engineering Selangor Malaysia Universiti Teknologi MARA Faculty of Electrical Engineering Selangor Malaysia University of Diyala College of Engineering Dept. of Communications Engineering Diyala Iraq

ISBN: (纸本)9781665497367

The kinds of 5G waveforms require to saturate different demands of transmitting signals. Unfortunately, the spectrum resources are limited. Thus, the spectrum sensing technique should be overcome this issue of communications. In this paper, a spectrum sensing technique is proposed for 5G waveforms detection, such as F-OFDM, UFMC, and FBMC. The decision of detection is obtained according to some parameters such as signal length, cyclic prefix, shape, energy, and mapper. The proposed method includes windowed cosine filtering with Hamming. The results are validated with the Monte-Carlo simulation. The proposed sensing technique achieved better detection performance than that of related techniques in terms of detection probability (> 0.95), false alarm probability ( © 2021 IEEE.

关键词： Orthogonal frequency division multiplexing

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Low-Cost and Effective Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks 21

Low-Cost and Effective Fault-Tolerance Enhancement Technique...

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Proceedings of the 58th Annual ACM/IEEE Design Automation Conference

作者： Thai-Hoang Nguyen Muhammad Imran Jaehyuk Choi Joon-Sung Yang Dept. of Electrical and Computer Engineering and Dept. of Electrical Engineering National University of Sciences and Technology Islamabad Pakistan Dept. of Semiconductor Systems Engineering Sungkyunkwan University Suwon South Korea School of Electrical and Electronic Engineering and Dept. of Semiconductor Systems Engineering Yonsei University Seoul South Korea

ISBN: (纸本)9781665432740

Deep Neural Networks (DNNs) have been found to outperform conventional programming approaches in several applications such as computer vision and natural language processing. Efficient hardware architectures for deploying DNNs on edge devices have been actively studied. Emerging memory technologies with their better scalability, non-volatility, and good read performance are ideal candidates for DNNs which are trained once and deployed over many devices. Emerging memories have also been used in DNNs accelerators for efficient computations of dot-product. However, due to immature manufacturing and limited cell endurance, emerging resistive memories often result in reliability issues like stuck-at faults, which reduce the chip yield and pose a challenge to the accuracy of DNNs. Depending on the state, stuck-at faults may or may not cause error. Fault-tolerance of DNNs can be enhanced by reducing the impact of errors resulting from the stuck-at faults. In this work, we introduce simple and light-weight Intra-block Address remapping and weight encoding techniques to improve the fault-tolerance for DNNs. The proposed schemes effectively work at the network deployment time while preserving the network organization and the original values of the parameters. Experimental results on state-of-the-art DNN models indicate that, with a small storage overhead of just 0.98%, the proposed techniques achieve up to 300× stuck-at faults tolerance capability on Cifar10 dataset and 125× on Imagenet datatset, compared to the baseline DNNs without any fault-tolerance method. By integrating with the existing schemes, the proposed schemes can further enhance the fault resilience of DNNs.

关键词： deep learning hardware

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USRP-Based Single Anchor Positioning: AoA with 5G Uplink Signals, and UWB Ranging

arXiv

引用

arXiv 2024年

作者： Spanos, Thodoris Fabra, Fran López-Salcedo, José A. Seco-Granados, Gonzalo Kanistras, Nikos Lapin, Ivan Paliouras, Vassilis Dept. of Electrical and Computer Engineering University of Patras Greece Loctio P.C. Greece Spain Radio Navigation Systems and Techniques Section European Space Agency Netherlands

This paper presents a novel testbed designed for 5th-Generation (5G) positioning using Universal Software Radio Peripherals (USRPs). The testbed integrates multiple units: an Operation Unit for test management, a User Unit equipped with an Ettus E312 USRP, and a Station Unit featuring an Ettus N310 USRP equipped with a three-element Uniform Linear Array for Angle of Arrival estimation. Alongside ultra wide-band ranging, the testbed estimates the user’s position relative to the base station. Signal processing algorithms are executed in a dedicated processing unit. Key challenges addressed include phase misalignment between RX channel pairs due to different Local Oscillators in the Ettus N310, necessitating real-time calibration for precise signal alignment. High sampling rates (up to 61.44 MSps) result in large IQ sample files, managed efficiently using a snapshot technique to optimize storage without compromising testbed positioning capabilities. The testbed synchronizes angular measurements with ranging estimates allowing consistent performance evaluation for real-life cases of dynamic users (e.g. pedestrian). Experimental results demonstrate the testbed’s effectiveness in achieving accurate pedestrian user localization. © 2024, CC BY-NC-ND.

关键词： Testbeds

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