Results 101 to 110 of about 39,146 (267)
Pengaplikasian Sensor Hujan dan LDR untuk Lampu Mobil Otomatis Berbasis Arduino Uno
, 2018 Mochammad Haldi Widianto
openalex +2 more sources
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 +6 more
wiley +1 more source
Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka +7 more
wiley +1 more source
Ultrafast Untethered Levitation Device Utilized Squeeze Film for Omni‐Directional Transport
Advanced Intelligent Systems, EarlyView.Untethered levitation device (106 g, 95 × 72 × 45 mm3) on squeeze film is generated by a piezoelectric actuator with onboard electronics (77 g). It achieves frictionless and omnidirectional movement over 1.4 and 3.0 ms−1 on horizontal and inclined surfaces respectively.
Yuta Sunohara +8 more
wiley +1 more source
Mecanismo de detección de gases dañinos usando hardware y software libres
Serie Científica de la Universidad de las Ciencias Informáticas, 2019 Uno de los retos de las grandes industrias es el de preservar la integridad de sus trabajadores, sobre todo los que laboran de cara a los procesos más críticos y riesgosos, en los que eventos como un escape de gas tóxico, altas concentraciones de gases ...
Luis Manuel Vidal Piña +1 more
doaj
Advanced Intelligent Systems, EarlyView.Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo +5 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study proposes a hardware‐efficient training methodology for crossbar arrays mapped with convolutional kernels in distributed computing systems. The approach is robust to variations in analog devices, minimizes disturbances during parallel writing operations, reduces stress on hardware, and accelerates the training process.
Jaehyeon Kang +3 more
wiley +1 more source