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A Segmentation Model of ECU Excitation Signal Based on Characteristic Parameters
2021
Sensors
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According to the basic structure and working principle of the excitation signal sensors of a diesel engine electronic control unit (ECU), a segmentation model of an ECU excitation signal based on characteristic ...
In the ESCP-SM, the ECU excitation signal is divided into several parts, and each part has its characteristic parameters model. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21124165
fatcat:nxa4lrnqyvgjpogmtwuzo4mpv4
Compensation of sub-harmonic vibrations during engine idle by variable fuel injection control
2008
IFAC Proceedings Volumes
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The enhanced control system is based on conventional PID-control strategies with improved fuel injection scheduling. ...
The basic task of idle speed control systems is to maintain a defined setpoint of rotational engine speed independent from engine operating conditions (e.g. load disturbances). ...
Thus, a large angular speed filter segment ∆ϕ sf effects a long delay in the updating of the mean engine speed in the engine ECU. ...
doi:10.3182/20080706-5-kr-1001.01599
fatcat:dlirpzr4jzhdllyuwmegiboap4
Human–Machine Interaction in Driving Assistant Systems for Semi-autonomous Driving Vehicles
2021
Electronics
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A 1D convolutional neural network model based on multimodal bio-signals is used and applied to control semi-autonomous vehicles. ...
four scenarios and eight emotions through bio-signal data. ...
The driving assistance system consists of an HMI, an ECU, and a controller. The HMI is based on the driver's bio-signals, and the situation recognition result is classified through the 1D CNN model. ...
doi:10.3390/electronics10192405
fatcat:vidsxseysvhxxoyyynko3mjs7q
Iterative decremented step-size scanning-based MPPT algorithms for photovoltaic systems
2017
2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)
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A photovoltaic system coupled with a DC/DC converter is modeled in SPICE for verification and simulation purposes. ...
The change of partial shading conditions is a main problem in photovoltaic systems. Power curves of the systems will contain some local maximum power points, beside a global maximum power point. ...
The solar modules is modelled in SPICE and each panel can be excited with changeable solar polar irradiance in W/m 2 . ...
doi:10.1109/iciteed.2017.8250463
fatcat:qmhka2ioejccrow63vxpdbwlv4
StretchfMRI: a new technique to quantify the contribution of the reticular formation to long-latency responses via fMRI
[article]
2019
bioRxiv
pre-print
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Moreover, via a single-subject pilot experiment, we show that the occurrence of an LLR in a flexor and extensor muscle modulates neural activity in distinct regions of the brainstem. ...
LLRs, elicited by applying precisely controlled perturbations, can act as a reliable stimulus to measure LLR-related brainstem function using fMRI with high signal-to-noise ratio.In this paper, we present ...
We acknowledge support from the University of Delaware Research Foundation grant no. 16A01402, from ACCEL NIGMS IDeA grant no. U54-GM104941, and from startup funds by the University of Delaware. ...
doi:10.1101/582692
fatcat:t4ferfbp6jbs5h6fhcjcr3ipni
Peak Bracketing and Decremented Window-Size Scanning-Based MPPT Algorithms for Photovoltaic Systems
2018
International Journal of Innovative Computing, Information and Control
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This paper presents a peak bracketing algorithm and a decremented windowssize scanning-based algorithm to trace a maximum power operation point of a solar array in photovoltaic systems. ...
This problem appears due to the existence of partial shadows or non uniform solar irradiance on the photovoltaic panel surfaces. ...
The authors gratefully acknowledge the Ministry of Research, Technology and Higher Education of the Republic of Indonesia for funding our research work under the scheme of "Post-Graduated Colleagium Research ...
doi:10.24507/ijicic.14.03.1015
fatcat:52rayrvqijao3la4j5biw2gcfi
Experimental Automatic Calibration of a Semi-Active Suspension Controller via Bayesian Optimization
[article]
2020
arXiv
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In this paper, we propose a purely data-based tuning method enabling the automatic calibration of the parameters of a proprietary suspension controller by relying on little experimental time and exploiting ...
The effectiveness of the proposed approach is assessed on a commercial multi-body simulator as well as on a real car. ...
The classification of the most significant parameters follow a novel approach based on Gaussian Process Regression. ...
arXiv:2010.10831v1
fatcat:i54oow2fpzh2rgwmpwbqh3xpva
Research on the Characteristics of Operating Non-Uniformity of a High-Pressure Common-Rail Diesel Engine Based on Crankshaft Segment Signals
2021
IEEE Access
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Due to the periodic variation characteristics of the excitation moment acting on the crankshaft system, the crankshaft instantaneous angular speed and crankshaft segment signal periodic variations. ...
to what extent engine nonuniformity control based on crankshaft segment signal can be reliably applied FIGURE 1 . 1 Crankshaft signal panel. ...
doi:10.1109/access.2021.3075963
fatcat:hggdbcprrnbzjpl55djikdf4qi
Identifying Traffic Context Using Driving Stress: A Longitudinal Preliminary Case Study
2019
Sensors
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Both models were based on the application of EDA features with the logistic regression analysis. City driving turned out to be more stressful than highway driving. ...
To classify the levels of driving stress (low vs. high), two separate models were developed by incorporating the statistical features of the EDA signals, one for traffic conditions and the other for road ...
Table 6 . 6 Model based on different types of road segments. ...
doi:10.3390/s19092152
fatcat:qhnrpzjgajaddpbd75imd6vsaq
On applying the knock sensor for injector calibration
2014
International Journal of Engine Research
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Based on the findings of the signal analysis, a method is presented for detecting the beginning and the end of injection by applying the theory of the change-point problem. ...
Since the sound signals are highly nonstationary and contain various transients, a time-frequency analysis is applied. ...
Declaration of conflicting interests The authors declare that there is no conflict of interest. ...
doi:10.1177/1468087413500059
fatcat:vwu5paiunza3focvthpy6bt3ee
Excitation Signal Design for Generating Optimal Training Data for Complex Dynamic Systems
2021
IEEE Access
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However, the second approach based on informative potential leads to a more generalised model and reduces the development time by a factor of four. ...
This is a significant result that shows the importance of choosing an appropriate excitation signal. ...
The T 10−90 time for the VVT system was measured to be <1s using a step response test, this was used to segment the transient into one second sections, for a total of 120 segments. ...
doi:10.1109/access.2021.3138166
fatcat:bhqpv7em75anppcskyfnhbtov4
Development and Validation of a Vibration-Based Virtual Sensor for Real-Time Monitoring NOx Emissions of a Diesel Engine
2022
Machines
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A principal component regression (PCR) model for NOx prediction was established based on the reconstructed in-cylinder pressure. ...
A novel vibration-based virtual NOx sensor is developed based on these critical relationships for real-time NOx monitoring. ...
Acknowledgments: Thank Tie Wang, Guoxing Li, Chaoliang He, Chong Wang and Junhui Fan from Taiyuan University of Technology for their help in modelling and testing. ...
doi:10.3390/machines10070594
fatcat:gobkir7abva3pgzfq3dvb6ywx4
Chaos theory-based time series analysis of in-cylinder pressure and its application in combustion control of SI engines
2020
Journal of Thermal Science and Technology
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Then based on a near chaos dynamic model, combustion timing has been predicted successfully (Lee et al., 2009) . ...
For example, a wind power time series has been analyzed by chaos theory, and a kernel function prediction model based on the chaos analysis is introduced (Ouyang et al., 2016). ...
., Visual analysis of nonlinear dynamical systems: chaos, fractals, self-similarity and the limits of prediction, Systems, Vol.4, No.4 (2016), 37. ...
doi:10.1299/jtst.2020jtst0001
fatcat:6qosbxvgavcebda6lksd4eezsq
A novel time-based surface EMG measure for quantifying hypertonia in paretic arm muscles during daily activities after hemiparetic stroke
[article]
2022
medRxiv
pre-print
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time segment continuously tracked in a sliding window fashion. ...
the magnitude-based sEMG measures that suffer from signal non-stationarity. ...
In addition, to model the sporadic motor unit firing patterns with varying statistical characteristics, we employed the model developed by Konstantin et al., [57] , where parameters were modified for ...
doi:10.1101/2022.01.06.22268857
fatcat:5tl6ujqchnds7o36tkm7guvjsu
Adaptation to suppression of visual information during catching
1989
Journal of Neuroscience
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This seems to suggest that the parameters of the responses are adjusted based on an internal model of the dynamic interaction between the falling ball and the limb. ...
This model is initially constructed from a priori knowledge on impact parameters and is subsequently updated on the basis of the kinesthetic and cutaneous information obtained during the first trial. ...
This seems to suggest that the parameters of the responses are adjusted based on an internal model of the dynamic interaction between the falling ball and the limb. ...
doi:10.1523/jneurosci.09-01-00149.1989
pmid:2913201
fatcat:e7kt7t7fnjba5l67wpqf4sjpta
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