Results 31 to 40 of about 12,316 (267)

Networked control with guaranteed performance for IoT rehabilitation robot under nonvanishing uncertainties and input quantization

Digital Communications and Networks
The Internet of Things (IoT) technology provides data acquisition, transmission, and analysis to control rehabilitation robots, encompassing sensor data from the robots as well as lidar signals for trajectory planning (desired trajectory).
Shilei Tan, Xuesong Wang, Haoquan Zhou, Wei Gong   +3 more
doaj   +1 more source

Practical Fixed-Time Adaptive NN Fault-Tolerant Control for Underactuated AUVs With Input Quantization and Unknown Dead Zone

IEEE Access, 2023
In this article, a practical fixed-time adaptive neural network (NN) trajectory tracking control scheme for underactuated autonomous underwater vehicles (AUVs) subject to uncertain dynamics, unknown time-varying disturbances, an unknown dead zone ...
Huaran Yan, Yingjie Xiao, Honggang Zhang
doaj   +1 more source

Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band

IEEE Access
In this work, we consider Terahertz (THz) communications with low-resolution uniform quantization and spatial oversampling at the receiver side, corresponding to a single-input multiple-output (SIMO) transmission.
Christian Forsch, Peter Zillmann, Osama Alrabadi, Stefan Brueck, Wolfgang Gerstacker   +4 more
doaj   +1 more source

First Quantization Estimation by a Robust Data Exploitation Strategy of DCT Coefficients

IEEE Access, 2021
It is well known that the JPEG compression pipeline leaves residual traces in the compressed images that are useful for forensic investigations. Through the analysis of such insights the history of a digital image can be reconstructed by means of First ...
Sebastiano Battiato, Oliver Giudice, Francesco Guarnera, Giovanni Puglisi   +3 more
doaj   +1 more source

Fully Quantized Neural Networks for Audio Source Separation

IEEE Open Journal of Signal Processing
Deep neural networks have shown state-of-the-art results in audio source separation tasks in recent years. However, deploying such networks, especially on edge devices, is challenging due to memory and computation requirements.
Elad Cohen, Hai Victor Habi, Reuven Peretz, Arnon Netzer   +3 more
doaj   +1 more source

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

Quantization Effects on Zero-Dynamics Attacks to Closed-Loop Sampled-Data Control Systems

IEEE Open Journal of Control Systems
This paper focuses on cyber-security issues of networked control systems in closed-loop forms from the perspective of quantized sampled-data systems.
Xile Kang, Hideaki Ishii
doaj   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

Driver Pattern Recognition Using ML Quantization and Tabular Cloning Approach

International Journal of Automotive Science and Technology
It's crucial in the transportation and automotive sectors for detecting speeding, aggressive, and distracted driving; improving safety; predicting dangers; and providing real-time feedback, thus enhancing transportation network efficiency and security ...
Mohamed Hashim Al-meer
doaj   +1 more source

On the Binary Input Gaussian Wiretap Channel with/without Output Quantization

Entropy, 2017
In this paper, we investigate the effect of output quantization on the secrecy capacity of the binary-input Gaussian wiretap channel. As a result, a closed-form expression with infinite summation terms of the secrecy capacity of the binary-input Gaussian
Chao Qi, Yanling Chen, A. J. Han Vinck
doaj   +1 more source