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3rd IEEE International Conference on Control, Instrumentation, Energy and Communication, CIEC 2024

作者： Samanta, S. Bera, J.N. Biswas, A. Mckv Institute of Engineering Department of Electrical Engineering Howrah India University of Calcutt Department of Applied Physics Kolkata India

ISBN: (纸本)9798350313703

Inter Turn Short Circuit (ITSC) fault in stator winding of three phase induction motor (IM) is one of the most recurrent type of failures, which counts more than 30% of total electrical faults in machine. Thus, the investigation of ITSC fault detection in early stage is essential, since IMs are widely used in industries and household applications. The proposed work exploits the facility of deep learning-based approaches for ITSC fault detection in IMs using auto feature extraction enabled Long Short-Term Memory (LSTM) Neural network. Initially, three phase stator current envelop is extracted by Hilbert Transform and the envelop samples are used further for auto feature extraction. Along with, modified weighted batch normalization (BN) is used to improve the training capability of proposed method. MATLAB/ SIMULINK model with three different IM parameters along with three different loading conditions are used to train the proposed diagnostic system for eight different stator fault conditions. The method is also experimentally tested with 1 hp IM to check the accuracy of the diagnostic system. The performance of proposed method is compared with statistical feature extraction with ANN and from the result, it is observed that auto feature extraction using LSTM neural network is more accurate (up to 98%) than previous one. © 2024 IEEE.

关键词： Long short-term memory

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Integrated preparation and manipulation of high‑dimensional flying structured photons

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eLight 2024年第1期4卷 185-192页

作者： Haoqi Zhao Yichi Zhang Zihe Gao Jieun Yim Shuang Wu Natalia MLitchinitser Li Ge Liang Feng Department of Electrical and Systems Engineering University of PennsylvaniaPhiladelphiaPA 19104USA Department of Materials Science and Engineering University of PennsylvaniaPhiladelphiaPA 19104USA Department of Electrical and Computer Engineering and Department of Physics Duke UniversityDurhamNC 27708USA Department of Engineering Science and Physics College of Staten IslandCUNYStaten IslandNY 10314USA The Graduate Center CUNYNew YorkNY 10016USA

The hope for a futuristic global quantum internet that provides robust and high-capacity quantum information transfer lies largely on qudits,the fundamental quantum information carriers prepared in high-dimensional superposition ***,preparing and manipulating N-dimensional flying qudits as well as subsequently establishing their entanglement are still challenging tasks,which require precise and simultaneous maneuver of 2(N-1)parameters across multiple degrees of ***,using an integrated approach,we explore the synergy from two degrees of freedom of light,spatial mode and polarization,to generate,encode,and manipulate flying structured photons and their formed qudits in a four-dimensional Hilbert space with high quantum fidelity,intrinsically enabling enhanced noise resilience and higher quantum data *** four eigen spin–orbit modes of our qudits possess identical spatial–temporal characteristics in terms of intensity distribution and group velocity,thereby preserving long-haul coherence within the entirety of the quantum data transmission *** leveraging the bi-photon entanglement,which is well preserved in the integrated manipulation process,we present versatile spin–orbit cluster states in an extensive dimensional Hilbert *** cluster states hold the promise for quantum error correction which can further bolster the channel robustness in long-range quantum communication.

关键词： cluster thereby preparing

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Incoherent meta-imaging system for noise-robust object recognition

Incoherent meta-imaging system for noise-robust object recog...

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2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024

作者： Kim, Jungmin Yu, Nanfang Yu, Zongfu Department of Electrical and Computer Engineering University of Wisconsin MadisonWI53706 United States Department of Applied Physics and Applied Mathematics Columbia University New YorkNY10027 United States

We propose a meta-imaging system designed for noise-robust object recognition. By training the phase modulation of metasurfaces, the system concentrates the optical signal power, thereby enhancing the signal-to-noise ... 详细信息

关键词： Signal modulation

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Addressing Imbalance in Health Datasets: A New Method NR-Clustering SMOTE and Distance Metric Modification

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computers, Materials & Continua 2025年第2期82卷 2931-2949页

作者： Hairani Hairani Triyanna Widiyaningtyas Didik Dwi Prasetya Afrig Aminuddin Department of Electrical Engineering and Informatics Faculty of EngineeringUniversitas Negeri MalangMalang65145Indonesia Department of Computer Science Universitas BumigoraMataram83127Indonesia Department of Computer Graphic and Multimedia Faculty of ComputingCollege of Computing and Applied SciencesUniversiti Malaysia Pahang Al-Sultan AbdullahPekan26600Malaysia

An imbalanced dataset often challenges machine learning, particularly classification methods. Underrepresented minority classes can result in biased and inaccurate models. The Synthetic Minority Over-Sampling Technique (SMOTE) was developed to address the problem of imbalanced data. Over time, several weaknesses of the SMOTE method have been identified in generating synthetic minority class data, such as overlapping, noise, and small disjuncts. However, these studies generally focus on only one of SMOTE’s weaknesses: noise or overlapping. Therefore, this study addresses both issues simultaneously by tackling noise and overlapping in SMOTE-generated data. This study proposes a combined approach of filtering, clustering, and distance modification to reduce noise and overlapping produced by SMOTE. Filtering removes minority class data (noise) located in majority class regions, with the k-nn method applied for filtering. The use of Noise Reduction (NR), which removes data that is considered noise before applying SMOTE, has a positive impact in overcoming data imbalance. Clustering establishes decision boundaries by partitioning data into clusters, allowing SMOTE with modified distance metrics to generate minority class data within each cluster. This SMOTE clustering and distance modification approach aims to minimize overlap in synthetic minority data that could introduce noise. The proposed method is called “NR-Clustering SMOTE,” which has several stages in balancing data: (1) filtering by removing minority classes close to majority classes (data noise) using the k-nn method;(2) clustering data using K-means aims to establish decision boundaries by partitioning data into several clusters;(3) applying SMOTE oversampling with Manhattan distance within each cluster. Test results indicate that the proposed NR-Clustering SMOTE method achieves the best performance across all evaluation metrics for classification methods such as Random Forest, SVM, and Naїve Bayes, compared t

关键词： SMOTE modification Clustering-SMOTE manhattan distance

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Coordinated Motion Planning: Multi-Agent Path Finding in a Densely Packed, Bounded Domain 35

Coordinated Motion Planning: Multi-Agent Path Finding in a D...

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35th International Symposium on Algorithms and Computation, ISAAC 2024

作者： Fekete, Sándor P. Kosfeld, Ramin Kramer, Peter Neutzner, Jonas Rieck, Christian Scheffer, Christian Department of Computer Science TU Braunschweig Germany Department of Electrical Engineering and Computer Science Bochum University of Applied Sciences Germany

ISBN: (纸本)9783959773546

We study Multi-Agent Path Finding for arrangements of labeled agents in the interior of a simply connected domain: Given a unique start and target position for each agent, the goal is to find a sequence of parallel, collision-free agent motions that minimizes the overall time (the makespan) until all agents have reached their respective targets. A natural case is that of a simply connected polygonal domain with axis-parallel boundaries and integer coordinates, i.e., a simple polyomino, which amounts to a simply connected union of lattice unit squares or cells. We focus on the particularly challenging setting of densely packed agents, i.e., one per cell, which strongly restricts the mobility of agents, and requires intricate coordination of motion. We provide a variety of novel results for this problem, including (1) a characterization of polyominoes in which a reconfiguration plan is guaranteed to exist;(2) a characterization of shape parameters that induce worst-case bounds on the makespan;(3) a suite of algorithms to achieve asymptotically worst-case optimal performance with respect to the achievable stretch for cases with severely limited maneuverability. This corresponds to bounding the ratio between obtained makespan and the lower bound provided by the max-min distance between the start and target position of any agent and our shape parameters. Our results extend findings by Demaine et al. [13, 14] who investigated the problem for solid rectangular domains, and in the closely related field of Permutation Routing, as presented by Alpert et al. [6] for convex pieces of grid graphs. © Sándor P. Fekete, Ramin Kosfeld, Peter Kramer, Jonas Neutzner, Christian Rieck, and Christian Scheffer.

关键词： Motion planning

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Graph-Segmenter:graph transformer with boundary-aware attention for semantic segmentation

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Frontiers of computer Science 2024年第5期18卷 97-108页

作者： Zizhang WU Yuanzhu GAN Tianhao XU Fan WANG Computer Vision Perception Department of ZongMu Technology Shanghai 201203China Faculty of Electrical Engineering Information TechnologyPhysicsTechnical University of BraunschweigBraunschweig 38106Germany

Thetransformer-based semantic segmentation approaches,which divide the image into different regions by sliding windows and model the relation inside each window,have achieved outstanding ***,since the relation modeling between windows was not the primary emphasis of previous work,it was not fully *** address this issue,we propose a Graph-Segmenter,including a graph transformer and a boundary-aware attention module,which is an effective network for simultaneously modeling the more profound relation between windows in a global view and various pixels inside each window as a local one,and for substantial low-cost boundary ***,we treat every window and pixel inside the window as nodes to construct graphs for both views and devise the graph *** introduced boundary-awareattentionmoduleoptimizes theedge information of the target objects by modeling the relationship between the pixel on the object's *** experiments on three widely used semantic segmentation datasets(Cityscapes,ADE-20k and PASCAL Context)demonstrate that our proposed network,a Graph Transformer with Boundary-aware Attention,can achieve state-of-the-art segmentation performance.

关键词： graph transformer graph relation network boundary-aware attention semantic segmentation

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Guided Mode Evolution and Ionization Injection in Meter-Scale Multi-GeV Laser Wakefield Accelerators

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Physical Review Letters 2024年第4期133卷 045002-045002页

作者： J. E. Shrock E. Rockafellow B. Miao M. Le R. C. Hollinger S. Wang A. J. Gonsalves A. Picksley J. J. Rocca H. M. Milchberg Institute for Research in Electronics and Applied Physics and Department of Physics Department of Electrical and Computer Engineering Berkeley California 94720 USA Department of Physics

We show that multi-GeV laser wakefield electron accelerators in meter-scale, low density hydrodynamic plasma waveguides operate in a new nonlinear propagation regime dominated by sustained beating of lowest order modes of the ponderomotively modified channel; this occurs whether or not the injected pulse is linearly matched to the guide. For a continuously doped gas jet, this emergent mode beating effect leads to axially modulated enhancement of ionization injection and a multi-GeV energy spectrum of multiple quasimonoenergetic peaks; the same process in a locally doped jet produces single multi-GeV peaks with <10% energy spread. A three-stage model of drive laser pulse evolution and ionization injection characterizes the beating effect and explains our experimental results.

关键词： Electron beams & optics Laser driven electron acceleration Laser wakefield acceleration Laser-plasma interactions Light-matter interaction Nonlinear optics Plasma acceleration & new acceleration techniques Plasma optics

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A high speed dynamic comparator with automatic offset compensation

A high speed dynamic comparator with automatic offset compen...

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2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024

作者： Tsirmpas, George Kontelis, Spyros Souliotis, George Plessas, Fotis University of Patras Electronics Laboratory Physics Department Patras Greece University of Peloponnese Department of Electrical and Computer Engineering Greece University of Thessaly Department of Electrical and Computer Engineering Volos Greece

ISBN: (纸本)9798350318845

A high-speed dynamic comparator with automatic dc offset compensation is proposed in this paper. The comparator is based on a double-tail topology and reduces the dc offset by a calibration circuit. Avoiding using the commonly used capacitive calibration, it can operate at a higher speed compared to other topologies. Designed in a CMOS 65nm technology node, it operates with 1 V supply voltage and clock speed at 10 GHz. © 2024 IEEE.

关键词： Comparators (optical)

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DRA Overlapping Function Hardware Implementation Via Waveguide Beamformer

DRA Overlapping Function Hardware Implementation Via Wavegui...

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2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024

作者： Kaifas, T.N.F. Babas, D. Kyriacou, G. Sahalos, J. Democritus University of Thrace Department of Electrical and Computer Engineering Xanthi Greece Aristotle University of Thessaloniki Department of Physics Thessaloniki Greece University of Nicosia Department of Electrical and Computer Engineering Cyprus

ISBN: (纸本)9798350318845

In the work at hand we present the design procedure of a waveguide beamformer network that implements the Direct Radiating Arrays' Overlapping Function. Such a design is notorious for its complexity and challenge since it should deliver wideband, dual polarization overlapped feeding to planar antenna arrays. Such a feeding network is to be viewed as a building block that would tile the background, on top of which the fed sub-array antenna elements would respectively tile the radiating aperture host area. Thus, each feeding network should provide ports on the lower face, (input feeding ports), the upper face, (input to antenna elements), but also to the side faces to provide overlapping. Here, utilizing transmission matrix factorization, the beamformer is designed as a cascade connection of elementary components, hybrids and phase shifters. The 3d actual implementation of the multiport network in a rectangular waveguide technology, supporting both polarizations, is indeed challenging. In the current work such a device is presented and its merit is demonstrated. © 2024 IEEE.

关键词： Waveguides

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Blue-Detuned Magneto-optical Trap of CaF Molecules

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Physical Review Letters 2024年第23期132卷 233402-233402页

作者： Samuel J. Li Connor M. Holland Yukai Lu Lawrence W. Cheuk Department of Physics Department of Electrical and Computer Engineering

A key method to produce trapped and laser-cooled molecules is the magneto-optical trap (MOT), which is conventionally created using light red detuned from an optical transition. In this work, we report a MOT for CaF molecules created using blue-detuned light. The blue-detuned MOT (BDM) achieves temperatures well below the Doppler limit and provides the highest densities and phase-space densities reported to date in CaF MOTs. Our results suggest that BDMs are likely achievable in many relatively light molecules including polyatomic ones, but our measurements suggest that BDMs will be challenging to realize in substantially heavier molecules due to sub-mK trap depths. In addition to record temperatures and densities, we find that the BDM substantially simplifies and enhances the loading of molecules into optical tweezer arrays, which are a promising platform for quantum simulation and quantum information processing. Notably, the BDM reduces molecular number requirements ninefold compared to a conventional red-detuned MOT, while not requiring additional hardware. Our work therefore substantially simplifies preparing large-scale molecular tweezer arrays, which are a novel platform for simulation of quantum many-body dynamics and quantum information processing with molecular qubits.

关键词： Cold and ultracold molecules Light-matter interaction Molecules Cooling & trapping

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