Results 41 to 50 of about 15,588,025 (309)

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Traffic anomaly detection algorithm for CAN bus using similarity analysis

High-Confidence Computing
Recently, vehicles have experienced a rise in networking and informatization, leading to increased security concerns. As the most widely used automotive bus network, the Controller Area Network (CAN) bus is vulnerable to attacks, as security was not ...
Chao Wang, Xueqiao Xu, Ke Xiao, Yunhua He, Guangcan Yang   +4 more
doaj   +1 more source

Design and verification of engine power calculation model using the data of a digital bus built into an agricultural tractor

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2011
Engine power is a fundamental parameter for determining the utilization of an agricultural tractor. A wrong combination of a tractor and agricultural machinery leads to non-efficient loading of the engine, which causes not only a waste of energy stored ...
Jiří Čupera, Pavel Sedlák
doaj   +1 more source

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source

Hardware acceleration of number theoretic transform for zk‐SNARK

Engineering Reports, EarlyView., 2023
An FPGA‐based hardware accelerator with a multi‐level pipeline is designed to support the large‐bitwidth and large‐scale NTT tasks in zk‐SNARK. It can be flexibly scaled to different scales of FPGAs and has been equipped in the heterogeneous acceleration system with the help of HLS and OpenCL.
Haixu Zhao, Dong Ding, Feng Wang, Pengcheng Hua, Ning Wang, Qin Wu, Zhilei Chai   +6 more
wiley   +1 more source

A Multitask Learning Approach for Intrusion Detection in Controller Area Networks

Sensors
Intrusion detection on in-vehicle networks requires high accuracy, which is reported by many papers so far, but also computational efficiency to make it suitable for real-world scenarios.
Bianca Brişan, Camil Jichici, Raul Robu, Bogdan Groza   +3 more
doaj   +1 more source

Accurate and Anti‐Interference Control of Computer Vision‐Assisted Light‐Driven Liquid Crystal Elastomer Actuator

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article introduces a computer vision‐assisted control strategy for light‐driven liquid crystal elastomer actuators. Through negative feedback regulation, the liquid crystal elastomer actuator exhibits accurate and stable bending deformation in complex environments.
Wei Zhang, Zongxuan Wu, Li Lin, Yanjun Liu, Xiaoying Tang, Yajing Shen, Dan Luo   +6 more
wiley   +1 more source

A Self‐Driving Lab for Solution‐Processed Electrochromic Thin Films

Advanced Intelligent Systems, EarlyView.
A self‐driving laboratory accelerates the development of solution‐processed electrochromic thin films. By coupling machine learning with robotic fabrication and characterization, this closed‐loop platform systematically navigates complex processing parameters.
Selma Dahms, Luca Torresi, Shahbaz Tareq Bandesha, Jan Hansmann, Holger Röhm, Alexander Colsmann, Marco Schott, Pascal Friederich   +7 more
wiley   +1 more source

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

Advanced Intelligent Systems, EarlyView.
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna, Hugo A. Ordoñez Erazo, Carlos A. Cobos Lozada   +2 more
wiley   +1 more source

CAN bus flood attack detection based on communication characteristics

网络与信息安全学报, 2020
CAN has become the most extensive fieldbus for contemporary automotive applications due to its outstanding reliability and flexibility.However,the standard CAN protocol does not provide sufficient security measures and is vulnerable to eavesdropping ...
Yimu JI, Zhipeng JIAO, Shangdong LIU, Fei WU, Jing SUN, Na WANG, Zhiyu CHEN, Qiang BI, Penghao TIAN   +8 more
doaj   +3 more sources