Results 141 to 150 of about 1,371,293 (266)

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +1 more source

Introduction to Communications in Transportation [PDF]

69A3551747115/Project: 06-008As new Intelligent Transportation Systems (ITS) and vehicle-to-everything (V2X) communication technology and protocols continue to emerge, additional training is needed for personnel working in the transportation sector.
Virginia Tech Transportation Institute, Mollenhauer, Mike, Vilela, Jean Paul Talledo, Robinson, Sarah, Safety through Disruption (Safe-D) University Transportation Center (UTC), Vaughan, Will   +5 more
core  

Advancements in Triboelectric Nanogenerators (TENGs) for Intelligent Transportation Infrastructure: Enhancing Bridges, Highways, and Tunnels. [PDF]

Sensors (Basel), 2023
Rayegani A, Matin Nazar A, Rashidi M.
europepmc   +1 more source

An Edible Chitosan‐Based Acoustic Sensor for Sound‐Responsive Actuation in Edible Robots

Advanced Functional Materials, EarlyView.
This study introduces an edible acoustic sensor for robotic food and edible robotics. Built from a chitosan piezoelectric film between gold electrodes, the sensor enables acoustic communication through ON/OFF keying. Integrated into an edible robot with pneumatically actuated arms and neck, it responds to high‐frequency tones.
Valerio Francesco Annese, Bokeon Kwak, Gaia de Marzo, Giulia Coco, Valentina Antonaci, Leonardo Lamanna, Massimo De Vittorio, Dario Floreano, Mario Caironi   +8 more
wiley   +1 more source

Intelligent Transportation Using Wireless Sensor Networks Blockchain and License Plate Recognition. [PDF]

Sensors (Basel), 2023
Alharbi F, Zakariah M, Alshahrani R, Albakri A, Viriyasitavat W, Alghamdi AA.   +5 more
europepmc   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Other title: Kansas Department of Transportation Update

, 2007
application/pdf "January 22, 2007." Presentation to the Kansas Legislature, House Transportation and Public Safety Budget Committee, by staff of the Kansas Department of Transportation.Presentation providing a brief overview and update of the overall ...
Kansas. Department of Transportation.
core  

Transportation Expressions

This report compiles definitions of transportation terms used throughout the Department of Transportation and other US government agencies. This is the first edition of Transportation Expressions; future editions will be expanded in scope to include ...
O'Leary, Pamela, Corey, Jay, John A. Volpe National Transportation Systems Center (U.S.)   +2 more
core   +1 more source

Spatio-temporal causal graph attention network for traffic flow prediction in intelligent transportation systems. [PDF]

PeerJ Comput Sci, 2023
Zhao W, Zhang S, Wang B, Zhou B.
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source