Results 91 to 100 of about 379,828 (307)

A Generalized Approach for Anomaly Detection From the Internet of Moving Things

IEEE Access, 2019
Internet of Moving Things are connected to a variety of different types of sensors to form a world of moving things, including people, animals, vehicles, drones, and boats, etc.
Junfeng Tian, Wei Ding, Chunrui Wu, Kwang Woo Nam   +3 more
doaj   +1 more source

All‐Electrical Control of Spin Synapses for Neuromorphic Computing: Bridging Multi‐State Memory with Quantization for Efficient Neural Networks

Advanced Science, EarlyView.
This study develops three all‐electrically controlled, field‐free spintronic synapse devices for neuromorphic computing. The tilted anisotropy device achieves an 11‐state memory with minimal cycle‐to‐cycle variation (2%), enabling high‐accuracy neural network quantization (81.51% in ResNet‐18). These findings position spintronic synapses as a promising
Tzu‐Chuan Hsin, Chun‐Yi Lin, Po‐Chuan Wang, Chun Yang, Chi‐Feng Pai   +4 more
wiley   +1 more source

Optimal Number of Choices in Rating Contexts

Big Data and Cognitive Computing, 2019
In many settings, people must give numerical scores to entities from a small discrete set—for instance, rating physical attractiveness from 1–5 on dating sites, or papers from 1–10 for conference reviewing.
Sam Ganzfried, Farzana Beente Yusuf
doaj   +1 more source

Solution‐Processable Van Der Waals Heterojunctions on Silicon for Self‐Powered Photodetectors with High Responsivity and Detectivity

Advanced Science, EarlyView.
This work reports an all‐solution processable fabrication approach for fabricating Ti3C2Tx/Cu3(HHTP)2/n‐Si heterojunction as self‐powered photodetectors through the consecutive spray coating a Cu3(HHTP)2 and Ti3C2Tx thin films on n‐type silicon surface, as formed self‐supplied photodetector reveals exceptional responsivity and detectivity.
Yuansheng Ge, Da Lei, Chaojun Zhang, Quan Zhang, Jinlong Mu, Jing Li   +5 more
wiley   +1 more source

Electrically Tunable Momentum Space Polarization Singularities in Liquid Crystal Microcavities

Advanced Science, EarlyView.
Using a highly birefringent material embedded in a liquid crystal microcavity, the Rashba‐Dresselhaus resonance is obtained. In this regime, polarization singularities, known as C‐points, are observed in momentum space. The positions of these singularities can be modified by applying an external voltage to the sample.
Przemysław Oliwa, Piotr Kapuściński, Maria Popławska, Marcin Muszyński, Mateusz Król, Przemysław Morawiak, Rafał Mazur, Wiktor Piecek, Przemysław Kula, Witold Bardyszewski, Barbara Piętka, Helgi Sigurðsson, Jacek Szczytko   +12 more
wiley   +1 more source

Natural Crystal Structure for Generating Raman‐Like Orbital Angular Momentum States

Advanced Science, EarlyView.
This work proposes a strategy for symmetry breaking of the degenerate OAM states relying on the natural anisotropy of crystal gain, to select the handedness of the spatial spiral phase front and further tunable Raman‐like OAM states by thermal‐driven, which clarifies the contribution of intrinsic crystal property to the OAM states and opens a new route
Tianxiang Meng, Changsheng Zheng, Yongguang Zhao, Haohai Yu, Huaijin Zhang   +4 more
wiley   +1 more source

Star product on the Lie coalgebra and its application for calculation of quantum integrals of motion

Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2013
The article gives an algorithm for constructing quantum integrals of motion on the basis of well-known classic integrals.To construct quantum integrals, we apply star product of the operators' symbols, which is used in the quantization theory.A non ...
Anton Sergeevich Popov, Igor' Victorovich Shirokov   +1 more
doaj   +1 more source

Optimal Controller and Quantizer Selection for Partially Observable Linear-Quadratic-Gaussian Systems [PDF]

arXiv, 2019
In networked control systems, often the sensory signals are quantized before being transmitted to the controller. Consequently, performance is affected by the coarseness of this quantization process. Modern communication technologies allow users to obtain resolution-varying quantized measurements based on the prices paid.
arxiv  

Photonic Bayesian Neural Networks: Leveraging Programmable Noise for Robust and Uncertainty‐Aware Computing

Advanced Science, EarlyView.
This work introduces a novel photonic Bayesian neural network architecture that utilizes tunable photonic random number generators to independently control weight distribution parameters, significantly improving robustness, scalability, and accuracy while demonstrating practical applications in multimodal data processing and uncertainty‐aware computing.
Yangyang Zhuge, Zhihao Ren, Zian Xiao, Zixuan Zhang, Xinmiao Liu, Weixin Liu, Siyu Xu, Chong Pei Ho, Nanxi Li, Chengkuo Lee   +9 more
wiley   +1 more source

Adaptive Quantization for Deep Neural Network

, 2017
In recent years Deep Neural Networks (DNNs) have been rapidly developed in various applications, together with increasingly complex architectures.
Cheung, Ngai-Man, Frossard, Pascal, Moosavi-Dezfooli, Seyed-Mohsen, Zhou, Yiren   +3 more
core   +1 more source