AIMC Topic: Acceleration

Clear Filters Showing 51 to 60 of 109 articles

Improving the Event-Based Classification Accuracy in Pit-Drilling Operations: An Application by Neural Networks and Median Filtering of the Acceleration Input Signal Data.

Sensors (Basel, Switzerland) Sep 19, 2021
Forestry is a complex economic sector which is relying on resource and process monitoring data. Most of the forest operations such as planting and harvesting are supported by the use of tools and machines, and their monitoring has been traditionally ...
Neural Networks, Computer Monitoring, Physiologic Signal Processing, Computer-Assisted Acceleration
View on PubMed DOI

Baseline Correction of Acceleration Data Based on a Hybrid EMD-DNN Method.

Sensors (Basel, Switzerland) Sep 19, 2021
Measuring displacement response is essential in the field of structural health monitoring and seismic engineering. Numerical integration of the acceleration signal is a common measurement method of displacement data. However, due to the circumstances...
Neural Networks, Computer Algorithms Least-Squares Analysis Acceleration
View on PubMed DOI

A Novel Automate Python Edge-to-Edge: From Automated Generation on Cloud to User Application Deployment on Edge of Deep Neural Networks for Low Power IoT Systems FPGA-Based Acceleration.

Sensors (Basel, Switzerland) Sep 9, 2021
Deep Neural Networks (DNNs) deployment for IoT Edge applications requires strong skills in hardware and software. In this paper, a novel design framework fully automated for Edge applications is proposed to perform such a deployment on System-on-Chip...
Neural Networks, Computer Software Computers Acceleration
View on PubMed DOI

IMUMETER-A Convolution Neural Network-Based Sensor for Measurement of Aircraft Ground Performance.

Sensors (Basel, Switzerland) Jul 10, 2021
The paper presents the development of the IMUMETER sensor, designed to study the dynamics of aircraft movement, in particular, to measure the ground performance of the aircraft. A motivation of this study was to develop a sensor capable of airplane m...
Neural Networks, Computer Artificial Intelligence Aircraft Acceleration
View on PubMed DOI

Driving Behaviour Analysis Using Machine and Deep Learning Methods for Continuous Streams of Vehicular Data.

Sensors (Basel, Switzerland) Jul 9, 2021
In the last few decades, vehicles are equipped with a plethora of sensors which can provide useful measurements and diagnostics for both the vehicle's condition as well as the driver's behaviour. Furthermore, the rapid increase for transportation nee...
Humans Deep Learning Automobile Driving Acceleration Transportation
View on PubMed DOI

Multi-Sensor and Decision-Level Fusion-Based Structural Damage Detection Using a One-Dimensional Convolutional Neural Network.

Sensors (Basel, Switzerland) Jun 8, 2021
This paper presents a novel approach to substantially improve the detection accuracy of structural damage via a one-dimensional convolutional neural network (1-D CNN) and a decision-level fusion strategy. As structural damage usually induces changes ...
Neural Networks, Computer Acceleration
View on PubMed DOI

Comparing the turn performance of different motor control schemes in multilink fish-inspired robots.

Bioinspiration & biomimetics Apr 12, 2021
Fish robots have many possible applications in exploration, industry, research, and continue to increase in design complexity, control, and the behaviors they can complete. Maneuverability is an important metric of fish robot performance, with severa...
Biomechanical Phenomena Animals Robotics Fishes Acceleration Swimming
View on PubMed DOI

Tuna robotics: hydrodynamics of rapid linear accelerations.

Proceedings. Biological sciences Feb 17, 2021
Fish routinely accelerate during locomotor manoeuvres, yet little is known about the dynamics of acceleration performance. Thunniform fish use their lunate caudal fin to generate lift-based thrust during steady swimming, but the lift is limited durin...
Biomechanical Phenomena Robotics Acceleration Swimming Hydrodynamics
View on PubMed DOI

Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles.

Accident; analysis and prevention Feb 5, 2021
The introduction of Automated Vehicles (AVs) into the transportation network is expected to improve system performance, but the impacts of AVs in mixed traffic streams have not been clearly studied. As AV's market penetration increases, the interacti...
Humans Time Factors Robotics Accidents, Traffic Safety Automobile Driving Acceleration Texas
View on PubMed DOI

Recognition of Abnormal Chest Compression Depth Using One-Dimensional Convolutional Neural Networks.

Sensors (Basel, Switzerland) Jan 27, 2021
When the displacement of an object is evaluated using sensor data, its movement back to the starting point can be used to correct the measurement error of the sensor. In medicine, the movements of chest compressions also involve a reciprocating movem...
Neural Networks, Computer Acceleration Pressure Thorax Data Compression
View on PubMed DOI
Popular Topics
Recent Journals