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Neural Network Approach for Analyzing Seismic Data to Identify Potentially Hazardous Bridges

Tienfuan Kerh, Chuhsiung Huang, David Gunaratnam
2011 Mathematical Problems in Engineering  
This model is finally combined with a simple distribution method and a new weight-based method to estimate peak ground acceleration at each of the bridges along the freeway.  ...  each of bridge site is developed by using the neural network approach.  ...  The authors also wish to thank the Central Weather Bureau Seismological Center of Taiwan for providing recorded historical earthquake data sets.  ... 
doi:10.1155/2011/464353 fatcat:botuij2tfjf4pnwmfimldcz6vu

Earthquake Early Warning Systems

Pei-Yang Lin
2011 International Journal of Automation and Smart Technology  
The earthquake early warning system can provide seconds to tens of seconds of warning time before an earthquake strikes.  ...  This paper introduces the earthquake early warning system build by Taiwan National Center for Research on Earthquake Engineering and a practice case happened in Yilan City, Taiwan.  ...  Automation and Smart Technology by the Taiwan High Speed Rail).  ... 
doi:10.5875/ausmt.v1i2.123 fatcat:ejifiiugk5dw5cxj4qub7zre54

Real-Time Transportation Mode Identification Using Artificial Neural Networks Enhanced with Mode Availability Layers: A Case Study in Dubai

Young-Ji Byon, Jun Ha, Chung-Suk Cho, Tae-Yeon Kim, Chan Yeun
2017 Applied Sciences  
Even in its simplest form, an artificial neural network (ANN) excels at pattern recognition with a relatively short processing timeframe once it is properly trained, which is suitable for real-time mode  ...  Dubai is one of the major cities in the Middle East and offers unique environments, such as a high density of extremely high-rise buildings that may introduce multi-path errors with GPS signals.  ...  For the metro mode, which operates on an elevated rail that is about 20 m above the ground, a section between Nakheel station and Al Rigga station is selected.  ... 
doi:10.3390/app7090923 fatcat:2uxfzwsknfdubp57goobilgbvm

Earthquake Early Warning: Advances, Scientific Challenges, and Societal Needs

Richard M. Allen, Diego Melgar
2019 Annual Review of Earth and Planetary Science  
Earthquake early warning (EEW) is the delivery of ground shaking alerts or warnings.  ...  EEW systems now provide public alerts in Mexico, Japan, South Korea, and Taiwan and alerts to select user groups in India, Turkey, Romania, and the United States.  ...  Original versions of figures were provided by Martin Vallée, Will Wilcock, and Hunter Hadaway.  ... 
doi:10.1146/annurev-earth-053018-060457 fatcat:5bqpizkrxrcifobnubxhocie6y

Program

2020 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)  
Residue Number Systems can solve four major problems of neural network including acceleration, power consumption, area overhead and fault tolerance.  ...  Furthermore, a vehicle speed estimation method based on deep learning is proposed to estimate vehicle speed in accordance with the number of call arrivals.  ...  This results in that high-speed activating of neural network should fit for any distribution of error functions. In this paper, we propose a set of transistor-level magnitude-comparators.  ... 
doi:10.1109/icce-taiwan49838.2020.9258230 fatcat:g25vw7mzvradxna2grlzp6kgiq

Program

2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
Deep Neural Networks (DNN) accelerators.  ...  acceleration system usually consists of bus-connected micro-controllers, hardware accelerators, and external memory in order to support all the operations in various deep neural network (DNN) applications  ... 
doi:10.1109/icce-tw52618.2021.9602919 fatcat:aetmvxb7hfah7iuucbamos2wgu

Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities

Canan G. Corlu, Rocio de la Torre, Adrian Serrano-Hernandez, Angel A. Juan, Javier Faulin
2020 Energies  
From airplanes to electric vehicles and trains, modern transportation systems require large quantities of energy.  ...  This paper reviews existing work on the optimization of energy consumption in the area of transportation, including road freight, passenger rail, maritime, and air transportation modes.  ...  The speed profile optimization problem, on the other hand, aims at finding the optimal speed profiles in four different phases (acceleration, traveling at constant speed, braking, and rapid braking), while  ... 
doi:10.3390/en13051115 fatcat:fwuflm6kwve5pns54nrso5uxmy

Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric Surveys?

Nicholas Fiorentini, Mehdi Maboudi, Pietro Leandri, Massimo Losa
2021 Sensors  
the quality of pavement over extensive and complex road networks quickly, automatically, and with relatively low costs.  ...  Once additional MLAs conditioned by endogenous factors have been developed (such as traffic flow, the structure of the pavement layers, and material characteristics), practitioners should be able to estimate  ...  ., by a Recurrent Neural Network and Radial Basis Function Neural Networks.  ... 
doi:10.3390/s21103377 pmid:34066242 pmcid:PMC8151251 fatcat:djx7ekgijjelta6bkhgzsncoam

A hybrid computational approach to derive new ground-motion prediction equations

Amir Hossein Gandomi, Amir Hossein Alavi, Mehdi Mousavi, Seyed Morteza Tabatabaei
2011 Engineering applications of artificial intelligence  
The principal ground-motion parameters formulated were peak ground acceleration (PGA), peak ground velocity (PGV) and peak ground displacement (PGD).  ...  The obtained GMPEs are effectively capable of estimating the site ground-motion parameters.  ...  Kerh and Ting (2005) used back-propagation neural networks to predict PGA along the highspeed rail system in Taiwan.  ... 
doi:10.1016/j.engappai.2011.01.005 fatcat:jcsokyoqzvbtthes2tcjkmi5gi

Sensors and Actuators in Smart Cities

Mohammad Hammoudeh, Mounir Arioua
2018 Journal of Sensor and Actuator Networks  
Ateya and Ammar Muthanna built the network model and perform the simulation process.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ...  Convolutional Neural Networks Convolutional neural networks (CNNs) replace matrix multiplication with convolutions in at least one of their layers [54, 58, 59] .  ... 
doi:10.3390/jsan7010008 fatcat:pt7nkf4oaraijkmsndohahqtnq

Sequential grouping constraints on across‐channel auditory processing

Andrew J. Oxenham, Torsten Dau
2005 Journal of the Acoustical Society of America  
The empirical model is found to be applicable to different train/rail systems at train speeds ranging up to 120 km/h in this study. ͓  ...  Our analysis of the observed data combined with surface ground motion accelerations, led to estimates of the minimum surface accelerations needed to generated infrasound signals measured at distant arrays  ...  This study focuses on processing the voiced/ voiceless allophonic alternation of high vowels in Japanese.  ... 
doi:10.1121/1.4809413 fatcat:pi7xm3qw55ho5oyw27fb3p2bl4

So/ren Buus. Thirty years of psychoacoustic inspiration

Torben Poulsen
2005 Journal of the Acoustical Society of America  
The empirical model is found to be applicable to different train/rail systems at train speeds ranging up to 120 km/h in this study. ͓  ...  Our analysis of the observed data combined with surface ground motion accelerations, led to estimates of the minimum surface accelerations needed to generated infrasound signals measured at distant arrays  ...  This study focuses on processing the voiced/ voiceless allophonic alternation of high vowels in Japanese.  ... 
doi:10.1121/1.4787120 fatcat:7nizh7ha3bfudeucqd2wnrieti

Effects of errorless learning on the acquisition of velopharyngeal movement control

Andus Wing-Kuen Wong, Tara Whitehill, Estella Ma, Rich Masters
2012 Journal of the Acoustical Society of America  
The problem of estimating the directions-of-arrival (DOA) of a source in a room and its reflections using RIR data and microphone arrays, is considered.  ...  A distinct peak in a room impulse response is usually associated with an acoustic path length of direct or reflected sound.  ...  An inversion algorithm to estimate the shear wave speed profile in the sediment will be presented. Estimates of the shear speed will be compared with ground truth data.  ... 
doi:10.1121/1.4708235 fatcat:7wzupz5u2nd6nc7ttvbpxwvunm

On the applicability of models for outdoor sound

Karsten B. Rasmussen
1999 Journal of the Acoustical Society of America  
Four protectors in search of a rating system 3aNSb13 Zannin, Paulo H. T.  ...  Nonlinear acoustics testing of defect for evaluation of risk of insurance of the therman electric power stations 2aPAb14 Robsman, Vadim A.  ...  Aeroacoustic sources at high-speed trains are dominant noise sources for trains running at high speeds. The pantograph is an important source located at a high position.  ... 
doi:10.1121/1.425063 fatcat:rx6rqlhfqras5gqdrobu6sl4vi

Ultrasonic splitting of oil‐in‐water emulsions

Ralf König, Ewald Benes, Martin Gröschl, Jens Hald
1999 Journal of the Acoustical Society of America  
Four protectors in search of a rating system 3aNSb13 Zannin, Paulo H. T.  ...  Nonlinear acoustics testing of defect for evaluation of risk of insurance of the therman electric power stations 2aPAb14 Robsman, Vadim A.  ...  Aeroacoustic sources at high-speed trains are dominant noise sources for trains running at high speeds. The pantograph is an important source located at a high position.  ... 
doi:10.1121/1.424512 fatcat:vtwriesktjcihcne2wjrqgpuu4
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