Results 311 to 320 of about 913,403 (346)

MagNet: A Two-Pronged Defense against Adversarial Examples

Conference on Computer and Communications Security, 2017
Deep learning has shown impressive performance on hard perceptual problems. However, researchers found deep learning systems to be vulnerable to small, specially crafted perturbations that are imperceptible to humans.
Dongyu Meng, Hao Chen
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Magnet

Proceedings of the VLDB Endowment, 2020
Over the past decade, Apache Spark has become a popular compute engine for large scale data processing. Similar to other compute engines based on the MapReduce compute paradigm, the shuffle operation, namely the all-to-all transfer of the intermediate ...
Min Shen, Ye Zhou, Chandni Singh
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Analytical Model for Cogging Torque Calculation in Surface-Mounted Permanent Magnet Motors With Rotor Eccentricity and Magnet Defects

IEEE transactions on energy conversion, 2020
This article proposes a novel analytical model which combines subdomain method and magnet equivalent circuit (MEC) method to predict the cogging torque of surface-mounted permanent magnet (SPM) motors with rotor eccentricity and magnet defects in any ...
W. Tong, Shiqi Li, Xuelong Pan, Shengnan Wu, Renyuan Tang   +4 more
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Low-Cost Interior Permanent Magnet Machine With Multiple Magnet Types

IEEE transactions on industry applications, 2020
This article is a contribution to answer the following question: Is it possible to design a permanent magnet machine with the performance expected from rare-earth magnets but at a lower cost?
Qingqing Ma, A. El-Refaie, B. Lequesne
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Cost-Effective High Torque Density Bi-Magnet Machines Utilizing Rare Earth and Ferrite Permanent Magnets

IEEE transactions on energy conversion, 2020
This paper proposes a novel Bi-Magnet machine design concept in which ferrite and rare earth magnet materials are both utilized for torque production.
Zhentao S. Du, T. Lipo
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Dual-Skew Magnet for Cogging Torque Minimization of Axial Flux PMSM With Segmented Stator

IEEE transactions on magnetics, 2020
Reduction of the cogging torque is preferred during the design process of a permanent magnet (PM) synchronous machine (PMSM), especially in the low-speed traction applications.
Lun Jia, Mingyao Lin, Wei Le, Nian Li, Y. Kong   +4 more
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MAGNet: A Modular Accelerator Generator for Neural Networks

2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2019
Deep neural networks have been adopted in a wide range of application domains, leading to high demand for inference accelerators. However, the high cost associated with ASIC hardware design makes it challenging to build custom accelerators for different ...
Rangharajan Venkatesan, Y. Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matthew R. Fojtik, Ben Keller, Alicia Klinefelter, N. Pinckney, Priyanka Raina, Yanqing Zhang, B. Zimmer, W. Dally, J. Emer, S. Keckler, Brucek Khailany   +15 more
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Comprehensive Sensitivity Analysis and Multiobjective Optimization Research of Permanent Magnet Flux-Intensifying Motors

IEEE transactions on industrial electronics (1982. Print), 2019
In this paper, two permanent magnet flux-intensifying motors are designed and optimized to realize the characteristic of Ld > Lq and the flux-intensifying effect.
Xiaoyong Zhu, Juan Huang, L. Quan, Zixuan Xiang, Bing Shi   +4 more
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Fault Diagnosis Techniques for Permanent Magnet AC Machine and Drives—A Review of Current State of the Art

IEEE Transactions on Transportation Electrification, 2018
This paper reviews the current state of the art of condition monitoring and fault diagnosis techniques for permanent magnet (PM) machines. It also takes into account the past research on this subject as appropriate.
Seungdeog Choi, M. Haque, Md. Tawhid Bin Tarek, V. Mulpuri, Y. Duan, Sanjoy Das, V. Garg, D. Ionel, M. Abul Masrur, B. Mirafzal, Hamid A. Toliyat   +10 more
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Analytical Model of a Spoke-Type Permanent Magnet Synchronous In-Wheel Motor With Trapezoid Magnet Accounting for Tooth Saturation

IEEE transactions on industrial electronics (1982. Print), 2019
This paper presents an analytical model for the prediction of the performance in a spoke-type permanent magnet synchronous in-wheel motor with a trapezoid magnet accounting for tooth saturation. The impact of magnet shape on modeling is considered.
P. Liang, F. Chai, Yanjun Yu, Lei Chen
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