A Multi-Feature Fusion Method for Life Prediction of Automotive Proton Exchange Membrane Fuel Cell Based on TCN-GRU.

The Proton Exchange Membrane Fuel Cell (PEMFC) is a fast-developing battery technology, and the key to its reliability and lifespan improvement lies in the accurate assessment of durability. However, the degradation mechanism of the PEMFC is hard to determine and its internal parameters are highly coupled. Thus, the development of a more accurate life prediction model that meets the actual scenarios is to be investigated urgently.

An improved SSVEP-based brain-computer interface with low-contrast visual stimulation and its application in UAV control.

Efficient communication and regulation are crucial for advancing brain-computer interfaces (BCIs), with the steady-state visual-evoked potential (SSVEP) paradigm demonstrating high accuracy and information transfer rates. However, the conventional SSVEP paradigm encounters challenges related to visual occlusion and fatigue. In this study, we propose an improved SSVEP paradigm that addresses these issues by lowering the contrast of visual stimulation.

An Integrated LSTM-Rule-Based Fusion Method for the Localization of Intelligent Vehicles in a Complex Environment.

To improve the accuracy and robustness of autonomous vehicle localization in a complex environment, this paper proposes a multi-source fusion localization method that integrates GPS, laser SLAM, and an odometer model. Firstly, fuzzy rules are constructed to accurately analyze the in-vehicle localization deviation and confidence factor to improve the initial fusion localization accuracy. Then, an odometer model for obtaining the projected localization trajectory is constructed.

Emergency Braking Evoked Brain Activities during Distracted Driving.

Electroencephalogram (EEG) was used to analyze the mechanisms and differences in brain neural activity of drivers in visual, auditory, and cognitive distracted vs. normal driving emergency braking conditions. A pedestrian intrusion emergency braking stimulus module and three distraction subtasks were designed in a simulated experiment, and 30 subjects participated in the study.

An experimental investigation of particle and NOx emissions for a non-road diesel engine equipped with an integrated DOC + CDPF + SCR aftertreatment system during different operations.

An integrated aftertreatment system consisting of diesel oxidation catalyst (DOC), catalytic diesel particulate filter (CDPF), and selective catalytic reduction (SCR) is an effective way of reducing both NOx and particulate matter (PM). In this paper, the effect of DOC + CDPF + SCR on NO and particle emissions is investigated during different operations to assess applicability of this aftertreatment for meeting more rigorous non-road emissions standard. Meanwhile non-negligible issue about regeneration emission is studied.

Advanced Sensing and Control for Connected and Automated Vehicles.

In recent years, connected and automated vehicles (CAV) have been a transformative technology that is expected to reduce emissions and change and improve the safety and efficiency of the mobilities [...

A Laser-Based Multipass Absorption Sensor for Sub-ppm Detection of Methane, Acetylene and Ammonia.

A compact, sensitive laser-based absorption sensor for multispecies monitoring of methane (CH), acetylene (CH) and ammonia (NH) was developed using a compact multipass gas cell. The gas cell is 8.8 cm long and has an effective optical path length of 3.

Simultaneous estimation of ammonia injection rate and state of diesel urea-SCR system based on high gain observer.

Selective catalytic reduction (SCR) controller achieves high NO conversion and low NH slip primarily by means of controlling the rate and timing of injection of urea solution. No any low-cost commercial sensor can directly measure the actual ammonia (NH) injection rate currently; thus, it is necessary to propose a numerical method to estimate the actual NH injection rate, which helps stabilization of emission control performances of a diesel SCR system during its service life cycle. A three-state nonlinear model was established and a method for designing high-gain observer (HGO) was studied so that those state variables such as NH injection rate, NO concentrations, NH concentrations and NH coverage ratio can be estimated simultaneously.

An Evaluation of Executive Control Function and Its Relationship with Driving Performance.

The driver's attentional state is a significant human factor in traffic safety. The executive control process is a crucial sub-function of attention. To explore the relationship between the driver's driving performance and executive control function, a total of 35 healthy subjects were invited to take part in a simulated driving experiment and a task-cuing experiment.

Occlusion-Free Road Segmentation Leveraging Semantics for Autonomous Vehicles.

The deep convolutional neural network has led the trend of vision-based road detection, however, obtaining a full road area despite the occlusion from monocular vision remains challenging due to the dynamic scenes in autonomous driving. Inferring the occluded road area requires a comprehensive understanding of the geometry and the semantics of the visible scene. To this end, we create a small but effective dataset based on the KITTI dataset named KITTI-OFRS (KITTI-occlusion-free road segmentation) dataset and propose a lightweight and efficient, fully convolutional neural network called OFRSNet (occlusion-free road segmentation network) that learns to predict occluded portions of the road in the semantic domain by looking around foreground objects and visible road layout.

Correlation Among Behavior, Personality, and Electroencephalography Revealed by a Simulated Driving Experiment.

Drivers play the most important role in the human-vehicle-environment system and driving behaviors are significantly influenced by the cognitive state of the driver and his/her personality. In this paper, we aimed to explore the correlation among driving behaviors, personality and electroencephalography (EEG) using a simulated driving experiment. A total of 36 healthy subjects participated in the study.

Behavior Evaluation Based on Electroencephalograph and Personality in a Simulated Driving Experiment.

Assessments and predictions of driving behavior are very important to improve traffic safety. We hypothesized that there were some patterns of driving behaviors, and these patterns had some correlation with cognitive states and personalities. To test this hypothesis, an evaluation of driving status, based on electroencephalography (EEG) and steering behavior in a simulated driving experiment, was designed and performed.

Driving Style Recognition Based on Electroencephalography Data From a Simulated Driving Experiment.

Driving style is a very important indicator and a crucial measurement of a driver's performance and ability to drive in a safe and protective manner. A dangerous driving style would possibly result in dangerous behaviors. If the driving styles can be recognized by some appropriate classification methods, much attention could be paid to the drivers with dangerous driving styles.

Formation of bicyclic polycyclic aromatic hydrocarbons (PAHs) from the reaction of a phenyl radical with -3-penten-1-yne.

The formation of polycyclic aromatic hydrocarbons (PAHs) on the CH potential energy surface involved in the reactions of a phenyl radical (CH) with -3-penten-1-yne (-CH[triple bond, length as m-dash]C-CH[double bond, length as m-dash]CH-CH, referred to as CH) and its three radicals (CH[triple bond, length as m-dash]C-Ċ[double bond, length as m-dash]CH-CH, CH[triple bond, length as m-dash]C-CH[double bond, length as m-dash]Ċ-CH, and -CH[triple bond, length as m-dash]C-CH[double bond, length as m-dash]CH-ĊH, referred to as the C-, C-, and C-radicals with the same chemical components, CH) assisted by H atoms is investigated by performing combined density functional theory (DFT) and calculations. Five potential pathways for the formation of PAHs have been explored in detail: Pathways I-II correspond to the reaction of CH with CH at the C and C position, and Pathways III-V involve the reaction of CH with the C-, C-, and C-radicals with the assistance of H atoms. The initial association of CH with CH or CH is found to be highly exothermic with only minor barriers (1.