Results 61 to 70 of about 1,866,673 (365)

Single Pair of Weyl Points Evolve From Spin Group‐Protected Nodal Line in Half‐Metallic Ferromagnet V3S4

Advanced Functional Materials, EarlyView.
A spin group (SG)‐based mechanism is proposed to realize a single pair of Weyl points. PT‐symmetric nodal lines (NLs) persist under T‐breaking, protected by the combination of SG and P symmetry. When considering spin‐orbit coupling, the SG‐protected NL will split into Weyl points, which will also induce anomalous transport phenomena arising from ...
Shifeng Qian, Yao Zhang, Xiaowei Sheng, Xiuxian Yang, Gang Zhang, Junfeng Gao, Xiaotian Wang   +6 more
wiley   +1 more source

Prediksi Jenis Cacing Nematoda Usus Yang Menginfeksi Siswa Dengan Menggunakan Metoda LVQ

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 2017
Abstrak-Pada saat ini, Jaringan Syaraf Tiruan (JST) telah banyak menjadi objek penelitian yang menarik, karena penerapannya sangat potensial dalam berbagai bidang sains, salah satu penerapannya didalam memprediksi penyakit. Penelitian ini bertujuan untuk
Erni Rouza
doaj   +1 more source

Hybrid vector quantization [PDF]

Optical Engineering, 1993
Vector quantization (VQ) is a powerful technique for low-bit-rate image coding. However, initial studies of image coding with VQ have revealed that VQ causes degradations, most notably around edges. Moreover, the computational complexity is high. Although a few algorithms have been developed to reduce edge degradation, such as block truncation coding ...
Kuei-Ann Wen, Chung-Yen Lu
openaire   +2 more sources

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Voice Identification Using MFCC and Vector Quantization

مجلة بغداد للعلوم, 2020
The speaker identification is one of the fundamental problems in speech processing and voice modeling. The speaker identification applications include authentication in critical security systems and the accuracy of the selection.
Bassel Alkhatib, Mohammad Madian Waleed Kamal Eddin   +1 more
doaj   +1 more source

Optimization and Quantization of Multibeam Beamforming Vector for Joint Communication and Radio Sensing

IEEE Transactions on Communications, 2019
Joint communication and radio sensing (JCAS) in millimeter-wave (mmWave) systems requires the use of a steerable beam. For analog antenna arrays, a single beam is typically used, which limits the sensing area within the direction of the communication ...
Yuyue Luo, J. A. Zhang, Xiaojing Huang, Wei Ni, Jin Pan   +4 more
semanticscholar   +1 more source

Pentagonal 2D Altermagnets: Material Screening and Altermagnetic Tunneling Junction Device Application

Advanced Functional Materials, EarlyView.
From a database of 170 pentagonal 2D materials, 4 candidates exhibiting altermagnetic ordering are screened. Furthermore, the spin‐splitting and unconventional boundary states in the pentagonal 2D altermagnetic monolayer MnS2 are investigated. A MnS2‐based altermagnetic tunneling junction is designed and, through ab initio quantum transport simulations,
Jianhua Wang, Xingyue Yang, Zongmeng Yang, Jing Lu, Pin Ho, Wenhong Wang, Yee Sin Ang, Zhenxiang Cheng, Shibo Fang   +8 more
wiley   +1 more source

Can Learning Vector Quantization be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning

Journal of Artificial Intelligence and Soft Computing Research, 2017
Learning vector quantization (LVQ) is one of the most powerful approaches for prototype based classification of vector data, intuitively introduced by Kohonen.
T. Villmann, A. Bohnsack, M. Kaden
semanticscholar   +1 more source

Investigation of the Effects of Strain and Electric Field on the Spin‐State Energetics of Co‐Doped BaTiO3 and PbTiO3

Advanced Functional Materials, EarlyView.
Ab initio calculations using the r2SCAN functional show that biaxial strain does not alter the high spin preference of cobalt‐doped BaTiO3 and PbTiO3; a small compressive uniaxial strain however results in an equally favorable low spin state for BaTiO3 and thus bistable magnetism.
Oliver J. Conquest, Steefan Contractor, Leigh Weston, Catherine Stampfl   +3 more
wiley   +1 more source

Modelling and hardware implementation of quantization levels of digital cameras in DCT based image compression

Engineering Science and Technology, an International Journal, 2019
In today’s world of computation, data compression takes vigorous part in most of the real–time and embedded system applications. Some of such end uses are essentially derived for specific task, however their realization are not described and delineated ...
Mahendra M. Dixit, C. Vijaya
doaj