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CLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

作者： Palici, Alexandra Maria Lu, Xiyuan Srinivasan, Kartik Lu, Xinda Labbe, Fabien Ding, Yunhong Laroque, Hugo Hamerly, Ryan Errando-Herranz, Carlos Pu, Minhao Englund, Dirk Heuck, Mikkel Department of Electrical and Photonics Engineering Technical University of Denmark Lyngby2800 Denmark Microsystems and Nanotechnology Division Physical Measurement Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States Joint Quantum Institute NIST University of Maryland College ParkMD20742 United States Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands

We demonstrate a hybrid device consisting of a thin film lithium niobate membrane transfer-printed onto a silicon nitride ring resonator. We measure quality factors in the 105 range at telecom wavelengths. © Opti... 详细信息

关键词： Silicon photonics

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New Bounds on the Accuracy of Majority Voting for Multi-Class Classification

arXiv

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arXiv 2023年

作者： Aeeneh, Sina Zlatanov, Nikola Yu, Jiangshan The Department of Electrical and Computer Systems Engineering Monash University ClaytonVIC3800 Australia The Department of Computer Science and Engineering Innopolis University Respublika Tatarstan Innopolis420500 Russia The Department of Software Systems and Cybersecurity Monash University ClaytonVIC3800 Australia

Majority voting is a simple mathematical function that returns the value that appears most often in a set. As a popular decision fusion technique, the majority voting function (MVF) finds applications in resolving conflicts, where a number of independent voters report their opinions on a classification problem. Despite its importance and its various applications in ensemble learning, data crowd-sourcing, remote sensing, and data oracles for blockchains, the accuracy of the MVF for the general multi-class classification problem has remained unknown. In this paper, we derive a new upper bound on the accuracy of the MVF for the multi-class classification problem. More specifically, we show that under certain conditions, the error rate of the MVF exponentially decays toward zero as the number of independent voters increases. Conversely, the error rate of the MVF exponentially grows with the number of independent voters if these conditions are not met. We first explore the problem for independent and identically distributed voters where we assume that every voter follows the same conditional probability distribution of voting for different classes, given the true classification of the data point. Next, we extend our results for the case where the voters are independent but non-identically distributed. Using the derived results, we then provide a discussion on the accuracy of the truth discovery algorithms. We show that in the best-case scenarios, truth discovery algorithms operate as an amplified MVF and thereby achieve a small error rate only when the MVF achieves a small error rate, and vice versa, achieve a large error rate when the MVF also achieves a large error rate. In the worst-case scenario, the truth discovery algorithms may achieve a higher error rate than the MVF. Finally, we confirm our theoretical results using numerical simulations. Copyright © 2023, The Authors. All rights reserved.

关键词： Data fusion

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On the Effect of Design Parameters on Fringing Fields of a Loop-Based FSS

On the Effect of Design Parameters on Fringing Fields of a L...

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2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021

作者： Ramesh, Swathi Muthyala Mahmoodi, Mahboobeh Donnell, Kristen M. Laboratory Missouri University of Science and Technology Electrical and Computer Engineering Department RollaMO United States

ISBN: (纸本)9781728146706

Frequency selective surfaces (FSSs) are periodic arrays of conductive elements that act as spatial filters of electromagnetic energy. FSSs have found recent application as sensors, filters, reflectors and radomes, amongst others. Often miniaturization techniques are used to improve the stability of the FSS to incident angle (of the excitation). However, due to the type of coupling (internal/self vs. external/mutual with adjacent elements), some designs are more responsive to miniaturization techniques than others. Hence, this paper quantifies the effect of the ratios of inter-element spacing-to-substrate thickness (S/h) and side length-to-substrate thickness (SL/h) on fringing fields (and hence coupling and potential for miniaturization) of a loop-based FSS. To do this, the effective perimeter and electrical periodicity of the loop (resulting from fringing fields) is calculated based on the effective permittivity of the substrate and the resonant frequency for various substrate thicknesses. The results indicate that external coupling (with adjacent elements) dominates when S/h is less than SL/h and hence such designs are more receptive to miniaturization techniques. © 2021 IEEE.

关键词： Frequency selective surfaces

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3D-Printed Stainless Steel Electrodes for Advancing Mems Microbial Fuel Cells Toward Sustainable on-chip Energy 38

3D-Printed Stainless Steel Electrodes for Advancing Mems Mic...

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38th IEEE International Conference on Micro Electro Mechanical systems, MEMS 2025

作者： Elhadad, Anwar Li, Guangfa Yang, Jiaqi Liu, Dehao Choi, Seokheun State University of New York at Binghamton Integrated Computational Materials Design Lab Department of Mechanical Engineering BinghamtonNY United States State University of New York at Binghamton Bioelectronics & Microsystems Laboratory Department of Electrical & Computer Engineering BinghamtonNY United States State University of New York at Binghamton Center for Research in Advanced Sensing Technologies and Environmental Sustainability BinghamtonNY United States

ISBN: (纸本)9798331508890

This study introduces a stainless steel microbial anode fabricated via advanced laser powder bed fusion, marking a transformative step in microbial fuel cell (MFC) technology. By leveraging this cutting-edge metal 3D printing approach, we achieve a 3D microporous structure with superior electrical conductivity, outstanding corrosion resistance in aquatic environments, robust mechanical strength, and adaptability for surface modification - essential attributes for sustainable, high-performance MFCs. The assembled MFC demonstrates unparalleled power output, along with exceptional durability and stability over multiple cycles, outperforming existing MFCs based on alternative 3D-printed substrates. This advancement not only solidifies the role of MFCs as a sustainable energy solution for powering on-chip electronics but also opens new avenues for scalable, cost-effective bioelectronic systems that align with the demands of next-generation technology. © 2025 IEEE.

关键词： Corrosion resistance

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Research on Biomimetic Design Methods for Humanoid Robot Thigh

Research on Biomimetic Design Methods for Humanoid Robot Thi...

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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Nie, Daming Xie, Anhuan Kong, Lingyu Zhang, Yu Zheng, Gang Fu, Yili Gu, Jason Zhejiang Laboratory Intelligent Robot Research Center Hangzhou311100 China Zhejiang University of Science and Technology School of Mechanical and Energy Engineering Hangzhou311100 China Dalhousie University Department of Electrical and Computer Engineering HalifaxB3M 1A2 Canada

ISBN: (纸本)9798350325706

Human bones have formed the preferred configuration for high-strength and lightweight after long-time evolution. Taking human's longest and strongest bone - the femur - as an example, it is consist of two characteristic layers, i.e. the substantia compacta and the substantia spongiosd. This article innovatively imitates the structural characteristics of human femur, the thigh of humanoid robot is designed in form of "variable thickness shell + variable density lattice". The thickness of shell and the density of lattice are adjusted by the initial stress distribution individually. Results show that the weight of shell and lattice of the thigh structure can be reduced by 20% under reasonable mapping relationship of "stress - shell thickness"and "stress - lattice rod diameter", while the structural stiffness meets the application requirements. Finally, the limiting factors of the "variable thickness shell + variable density lattice"structure designing approach are analyzed, and potential measures for optimizing the design method of the humanoid robot thigh in the future are described. © 2023 IEEE.

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Identifiability and Solvability in Inverse Linear Quadratic Optimal Control Problems

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Journal of systems Science & Complexity 2021年第5期34卷 1840-1857页

作者： LI Yibei WAHLBERG Bo HU Xiaoming Optimization and Systems Theory Department of MathematicsKTH Royal Institute of TechnologySE-10044StockholmSweden Division of Decision and Control School of Electrical Engineering and Computer ScienceKTH Royal Institute of TechnologySE-10044StockholmSweden

In this paper, the inverse linear quadratic(LQ) problem over finite time-horizon is *** the output observations of a dynamic process, the goal is to recover the corresponding LQ cost function. Firstly, by considering the inverse problem as an identification problem, its model structure is shown to be strictly globally identifiable under the assumption of system invertibility. Next, in the noiseless case a necessary and sufficient condition is proposed for the solvability of a positive semidefinite weighting matrix and its unique solution is obtained with two proposed algorithms under the condition of persistent excitation. Furthermore, a residual optimization problem is also formulated to solve a best-fit approximate cost function from sub-optimal observations. Finally, numerical simulations are used to demonstrate the effectiveness of the proposed methods.

关键词： Inverse optimal control linear quadratic regulators model identifiability

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A high-speed autozeroing comparator with reduced current consumption

A high-speed autozeroing comparator with reduced current con...

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Panhellenic Conference on Electronics and Telecommunications (PACET)

作者： Spyros Kontelis George Tsirmpas Costas Laoudias George Souliotis Physics Department Electronics Laboratory University of Patras Patras Greece Nanozeta Technologies Larnaka Cyprus Department of Electrical and Computer Engineering University of Peloponnese Patras Greece

A comparator based on autozeroing technique with reduced power consumption for high-speed and high-resolution applications is proposed in this paper. The overall comparator topology is based on a cascade connection of differential amplifiers and one latch comparator. Due to its high sensitivity, it is suitable to be employed in high-resolution analog to digital converters and sampling rates up to 50Msps. The differential input voltage resolution is equal to 400 μVpp. The circuit is designed using a CMOS 65 nm technology node. Following a power switching technique, the current consumption of amplification stages can be reduced up to 30%, without affecting the overall performance of the comparator.

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Online Computation Offloading and Trajectory Scheduling for UAV-Enabled Wireless Powered Mobile Edge Computing

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China Communications 2022年第4期19卷 257-273页

作者： Han Hu Xiang Zhou Qun Wang Rose Qingyang Hu The Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and TelecommunicationsNanjing 210003China The Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China The Department of Electrical and Computer Engineering Utah State UniversityLoganUTUSA.

The unmanned aerial vehicle(UAV)-enabled mobile edge computing(MEC) architecture is expected to be a powerful technique to facilitate 5 G and beyond ubiquitous wireless connectivity and diverse vertical applications and services, anytime and anywhere. Wireless power transfer(WPT) is another promising technology to prolong the operation time of low-power wireless devices in the era of Internet of Things(IoT). However, the integration of WPT and UAV-enabled MEC systems is far from being well studied, especially in dynamic environments. In order to tackle this issue, this paper aims to investigate the stochastic computation offloading and trajectory scheduling for the UAV-enabled wireless powered MEC system. A UAV offers both RF wireless power transmission and computation services for IoT devices. Considering the stochastic task arrivals and random channel conditions, a long-term average energyefficiency(EE) minimization problem is *** to non-convexity and the time domain coupling of the variables in the formulated problem, a lowcomplexity online computation offloading and trajectory scheduling algorithm(OCOTSA) is proposed by exploiting Lyapunov optimization. Simulation results verify that there exists a balance between EE and the service delay, and demonstrate that the system EE performance obtained by the proposed scheme outperforms other benchmark schemes.

关键词： energy efficiency mobile edge computing UAV-enabled wireless power transfer trajectorys cheduling

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Low-Complexity Control for a Class of Uncertain MIMO Nonlinear systems under Generalized Time-Varying Output Constraints (extended version)

arXiv

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arXiv 2024年

作者： Mehdifar, Farhad Lindemann, Lars Bechlioulis, Charalampos P. Dimarogonas, Dimos V. Division of Decision and Control Systems KTH Royal Institute of Technology Stockholm Sweden Thomas Lord Department of Computer Science University of Southern California Los AngelesCA United States Division of Systems and Control Department of Electrical and Computer Engineering University of Patras Patra Greece

This paper introduces a novel control framework to address the satisfaction of multiple time-varying output constraints in uncertain high-order MIMO nonlinear control systems. Unlike existing methods, which often assume that the constraints are always decoupled and feasible, our approach can handle coupled time-varying constraints even in the presence of potential infeasibilities. First, it is shown that satisfying multiple constraints essentially boils down to ensuring the positivity of a scalar variable, representing the signed distance from the boundary of the time-varying output-constrained set. To achieve this, a single consolidating constraint is designed that, when satisfied, guarantees convergence to and invariance of the time-varying output-constrained set within a user-defined finite time. Next, a novel robust and low-complexity feedback controller is proposed to ensure the satisfaction of the consolidating constraint. Additionally, we provide a mechanism for online modification of the consolidating constraint to find a least violating solution when the constraints become mutually infeasible for some time. Finally, simulation examples of trajectory and region tracking for a mobile robot validate the proposed approach. Copyright © 2024, The Authors. All rights reserved.

关键词： Feedback control

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Confidence Estimation Based on the Explanations of Model's Predictions

Confidence Estimation Based on the Explanations of Model's P...

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2023 International Conference on Neuromorphic Computing, ICNC 2023

作者： Wu, Kaiyue Huang, Changwu Yao, Xin Southern University of Science and Technology Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Shenzhen518055 China Southern University of Science and Technology Research Institute of Trustworthy Autonomous Systems Shenzhen518055 China

ISBN: (纸本)9798350316889

Estimating the confidence of a machine learning (ML) model plays an important role in minimizing undesirable outcomes and safety risks when using ML models in the real world, especially in high-stake application scenarios. However, the majority of existing confidence estimation methods do not work well without incorporating internal information from the model, such as the gradients, internal representations or checkpoints of its training process, which might compromise the security of the model. To alleviate such limitations, we intend to design a reliable confidence estimation method that requires as little internal model information as possible, yet precisely detecting uncertain samples for the model. In this work, we propose a confidence estimation approach that learns the confidence criterion (that is, the true class probability, TCP) based on the explanations of model's predictions. The proposed approach utilizes the knowledge learned in the model with the leverage of the explanations for model's prediction rather than directly extracting internal information of the model, so that it can be adopted in a wide range of applications. Several experiments, including experiments on different datasets, different models and non-IID (independent and identically distributed) test datasets, are conducted to examine the effectiveness of our confidence estimation method. The experimental results show that our proposed approach provides a reliable confidence estimation and generally performs better than the compared methods, especially in the capability of recognizing when a ML model makes errors. © 2023 IEEE.

关键词： Machine learning

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