Results 161 to 170 of about 2,112 (214)

Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond

Advanced Materials, EarlyView.
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang, Avirup Sardar, Weijie Ji, Zhongyu Liu, Rongchao Jin   +4 more
wiley   +1 more source

Monolithic 3D‐Integrated All‐Solid Ion‐Gated Carbon Nanotube Transistors With Tunable Ionic Conductance for Multi‐Timescale Reservoir Computing

Advanced Materials, EarlyView.
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung, Hanbin Cho, Yongwoo Lee, Seunghun Baek, Hyeongjun Kim, Yun Goo Ro, Hyunhyub Ko, Joonki Suh, Yong‐Young Noh, Jimin Kwon   +9 more
wiley   +1 more source

Unveiling Exsolution‐Induced Giant Electronic and Magnetic Property Changes in Non‐Stoichiometric Titanate Perovskite Thin Films

Advanced Materials, EarlyView.
A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim, June Ho Lee, Yaolong Xing, Dongchang Kim, Haeseong Jeong, Mongjun Jeong, Manuel Valvidares, Stuart S. P. Parkin, Sang Ho Oh, Donghwa Lee, Hyojin Yoon, Hyeon Han   +11 more
wiley   +1 more source

Multi-sensor data fusion for VRU detection

, 2023
openaire   +1 more source

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An Estimator for Multi-Sensor Data Fusion

2006 IEEE International Conference on Systems, Man and Cybernetics, 2006
In this paper, we examine binary hypothesis testing and parameter estimation problem in a sensor network. We address the problem of detection and also the estimation of the underlying parameter at the fusion center by optimally combining the test statistics sent by different sensors.
Chandrashekhara Thejaswi P. S., S. Viswanath Ganapathy, Ranjeet Kumar Patro, Manik Raina, Subhas Kumar Ghosh   +4 more
openaire   +1 more source

System identification for multi-sensor data fusion

2015 American Control Conference (ACC), 2015
In this paper we discuss the problem of combining sensor information for two main detection problems: 1) two variants of a spatial search problem and 2) a fault detection problem for a three tank system (TTS). In all cases the assumption is that data may be collected from multiple sensors.
Karla Hernandez, James C. Spall
openaire   +1 more source

Model-based multi-sensor data fusion

Proceedings 1992 IEEE International Conference on Robotics and Automation, 2003
The authors describe an algorithm for implementing a multisensor system in a model-based environment with consideration of the constraints. Based on an environment model, geometric features and constraints are generated from a CAD model database. Sensor models are used to predict sensor response to certain features and to interpret raw sensor data.
Wu Wen, Hugh F. Durrant-Whyte
openaire   +1 more source

Statistical modelling of multi-sensor data fusion

2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2017
Increasing the reliability of sensor data, especially in collision avoidance applications, is of great importance and involves the development of different sensor fusion methods. To reduce the limitations and disadvantages of common fusion methods and their challenges with respect to highly automated driving, this paper proposes a statistical model of ...
M. Ahmadi-Pour, Thomas Ludwig 0009, Cristina Olaverri-Monreal   +2 more
openaire   +1 more source

Effective fusion of distorted multi-sensor data

Proceedings of the 2003 IEEE International Symposium on Intelligent Control ISIC-03, 2003
A framework for the detection of bandlimited signals by intelligently fusing the multi-nonlinear sensor data is developed. Though most sensors used are assumed to be linear, none of them individually or in series give the truly linear relationship and errors are inevitable as a result of the assumption of linearity.
Sugathevan Suranthiran, Suhada Jayasuriya   +1 more
openaire   +1 more source

Multi-sensor data fusion architecture

Proceedings. Second International Conference on Creating, Connecting and Collaborating through Computing, 2005
In this work we present multi-sensor data fusion architecture. The objective of the architecture is to obtain fused measured data that represent the measured parameter as accurate as possible. The architecture is based on the use of adaptive Kalman filter formed by using Kalman filter and fuzzy logic techniques.
A.H.G. Al-Dhaher, D. Mackesy
openaire   +1 more source