Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Overview Of Research And Application On Autonomous Vehicle Oriented Perception System Simulation, Ruoxuan Wang, Jianping Wu, Hui Xu
Overview Of Research And Application On Autonomous Vehicle Oriented Perception System Simulation, Ruoxuan Wang, Jianping Wu, Hui Xu
Journal of System Simulation
Abstract: Following the rapid progress of science and technology, vehicles with autonomous driving or auxiliary driving function enter into vehicle market. However, in the past decade, traffic accidents still occurred frequently, and the safety of these functions become the focus. Simulation technology provides a good platform to test the perception system of autonomous vehicle. Focus on the sensor simulation modeling of autonomous vehicle perception system, from the perspective of single sensor simulation, multi-sensor simulation and classic simulation platform including millimeter wave radar, lidar and camera, the existing research are reviewed, and the shortcomings and development trends of simulation modeling of …
A Novel Energy-Efficient Sensor Cloud Model Using Data Prediction And Forecasting Techniques, Kalyan Das, Satyabrata Das, Aurobindo Mohapatra
A Novel Energy-Efficient Sensor Cloud Model Using Data Prediction And Forecasting Techniques, Kalyan Das, Satyabrata Das, Aurobindo Mohapatra
Karbala International Journal of Modern Science
An energy-efficient sensor cloud model is proposed based on the combination of prediction and forecasting methods. The prediction using Artificial Neural Network (ANN) with single activation function and forecasting using Autoregressive Integrated Moving Average (ARIMA) models use to reduce the communication of data. The requests of the users generate in every second. These requests must be transferred to the wireless sensor network (WSN) through the cloud system in the traditional model, which consumes extra energy. In our approach, instead of one second, the sensors generally communicate with the cloud every 24 hours, and most of the requests reply using the …
Design And Implementation Of A Compact Avionics Instrument For Light Aviation, Mustafa Emre Aydemi̇r
Design And Implementation Of A Compact Avionics Instrument For Light Aviation, Mustafa Emre Aydemi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a low-cost compact avionics instrument has been designed and implemented for light aviation vehicles such as ultralight airplanes, hang glider-trikes, and paramotors. At the moment there are a few commercial products that provide flight data and vehicle statuses such as altitude, temperature, fuel level, and engine hours meter. However, due to low production rates, customization for different air vehicles, and complex electronics and signal processing hardware, these instruments are generally far from being affordable; their cost may even be more than that of the air vehicle. This study presents a novel approach such that recent state-of-the-art hardware …
Mining Sensor Datasets With Spatiotemporal Neighborhoods, Michael Patrick Mcguire, Vandana Janeja, Aryya Gangopadhyay
Mining Sensor Datasets With Spatiotemporal Neighborhoods, Michael Patrick Mcguire, Vandana Janeja, Aryya Gangopadhyay
Journal of Spatial Information Science
Many spatiotemporal data mining methods are dependent on how relationships between a spatiotemporal unit and its neighbors are defined. These relationships are often termed the neighborhood of a spatiotemporal object. The focus of this paper is the discovery of spatiotemporal neighborhoods to find automatically spatiotemporal sub-regions in a sensor dataset. This research is motivated by the need to characterize large sensor datasets like those found in oceanographic and meteorological research. The approach presented in this paper finds spatiotemporal neighborhoods in sensor datasets by combining an agglomerative method to create temporal intervals and a graph-based method to find spatial neighborhoods within …