Recent advancements in emotion recognition research based on physiological data have been notable. However, existing multimodal methods often overlook the interrelations between various modalities, such as video and Electroencephalography data, recognition. In this paper, a feature fusion-based hierarchical cross-modal spatial fusion network is proposed that effectively integrates EEG features. By designing an extraction 1D convolution 3D convolution, corresponding modality features are...

Heart rate can be accurately measured by Remote PhotoPlethysmoGraphy (rPPG) in stable illumination and noise-controlled environments such as indoors. However, heart measure automotive scene is still faced with several challenges since the lighting cab often changes dramatically. To address issues, a novel method named Illumination Variation Robust Remote-PhotoPlethysmoGraphy (Ivrr-PPG) proposed for monitoring of drivers during on-road driving. The prototype based on commercial off-the-shelf...

Camera-based photoplethysmographic imaging enabled the segmentation of living-skin tissues in a video, but it has inherent limitations to be used real-life applications such as video health monitoring and face anti-spoofing. Inspired by use polarization for improving vital signs (i.e. specular reflection removal), we observed that skin have an attractive property wavelength-dependent depolarization due its multi-layer structure containing different absorbing chromophores, i.e. polarized...

Industrial fault diagnosis faces unique challenges with high-dimensional data, long time-series, and complex couplings, which are characterized by significant information entropy intricate dependencies inherent in datasets. Traditional image processing methods effective for local feature extraction but often miss global temporal patterns, crucial accurate diagnosis. While deep learning models like Vision Transformer (ViT) capture broader features, they struggle varying causes time industrial...

Currently, many automotive manufacturers including Mercedes Benz and BMW have released new products equipped with intelligent onboard systems (IOSs) that support interconnection between vehicles the remote service center. With help of IOSs, can obtain traffic information enjoy location-based services, such as restaurant nearby gas station recommendations. However, IOSs adopt a closed architecture are very difficult to upgrade services. NFV is introduced methodology offers potential way out...

Deep learning bearing-fault diagnosis has shown strong vitality in recent years. In industrial practice, the running state of bearings is monitored by collecting data from multiple sensors, for instance, drive end, fan and base. Given complexity operating conditions limited number samples, obtaining complementary fault features using traditional fault-diagnosis method, which uses statistical characteristic time or frequency, difficult relies heavily on prior knowledge. addition, intelligent...

Article based on the topological structure of power optical communication system, analyzes main factors that affect reliability transmission equipment and fiber links, consider bearer electric business importance weights. At same time, a kind route evaluation model risk calculation method is proposed, probability can be early warning pro posed method, through GMPLS dynamic routing constraint algorithm with time delay parameters, traffic channel optimized. So preventive measures taken in...

Microgrid is an important form of utilizing distributed renewable energy as well a key link to realize low carbonization the power grid. In this paper, double-layer optimization method considering carbon emission cost proposed determine optimal capacity microgrid. Specifically, outer-layer focuses on solving microgrid and inner-layer optimizing allocation different generation units cost. Besides, formulated model also considers uncertainties in multiple-time scales. outer layer, robust...

Abstract At present, the power system reform has entered a critical period, and construction of electric spot market is core link deepening system. In this paper, based on market, combined with theory operation analysis monitoring, one hand, it analyzes establishment evaluation index frame, other puts forward basic principle monitoring. Market monitoring in electricity key direction that regulatory agencies market-oriented environment pay close attention to urgently need study. We should...

As a distributed controllable loads, Plug-in electric vehicles (PEVs) connecting to the smart grid and participating in frequency regulation is drawing more attention. Depending on Vehicle-to-Grid (V2G) technology realize energy interaction between PEVs power grid, dynamic control model of proposed by considering characteristics battery charging/discharging, consider established. Finally, through SIMULINK simulation based model, it demonstrates that responds well system deviation, important...

Abstract With the continuous development of power companies, load on user side continues to diversify, traditional payment methods in system are constantly updated, and scale self-service terminals has been fully expanded. However, as becomes larger terminal equipment functions become more abundant, failure rate is also rise. Cloud computing can provide a large number low-cost storage resources, characteristics easy deployment strong scalability, which meet software hardware needs big data...

This study aims to investigate how congestions at ports affect the shipping freight market using a System Dynamics model, particularly in liquified petroleum gas (LPG) maritime transportation market. We utilize big data derived from Automatic Identification (AIS) for vessel tracking analysis. Our model captures positive impact of port congestion, its high level, on rate volatility when is relatively tight condition. The proposed provides insights into development by innovatively considering...

In a power plant of 300MW, the consumption its axial Induced Draft Fan (IDF) and Flue Gas Desulfurization (FGD) booster fan was high on whole. So it is necessary to take measures reduce by energy-saving retrofit. Firstly, series test optimization are carried out operational performances. Furthermore, several retrofit schemes worked out. Then, based about characters, an evaluation potential save energy for IDF FGD fan. Finally, according comprehensive analysis including technical economic,...

This paper presents the analysis on periodic fluctuation of pressure in flue and air system a 660MW supercritical boiler, firing high sulfur coal. The shows that is resulted from blockage its pre-heater, especially winter. Just as temperature gas lower than acid dew point, corrosion occurs induces furthermore. exhibits typical case boiler

As a result of incorrect operation causing the stall primary fan, pressure air continuously decreased. Therefore, combustion stability in boiler has been disturbanced greatly, and generation unit trips due to water-coal ratio imbalance. In this paper, accident resulted from have analyzed, correct for fan put forward. Namely, precursory phenomena can be found eliminated. Correct operations keep stable. It is concluded that adopting suitable air-coal are helpful on safe.

With the development of distributed generation technology rapidly, a large number wind, solar and other renewable energy access to system . Since is intermittent stochastic, which posed economic dispatch serious challenge. Consider operating costs sewage expenses, paper constructs multi-objective micro-grid model composed by wind turbine, diesel engine, battery load. And through MATLAB / Simulink simulation, established verify correctness effectiveness.

For the retrofit of precipitation and flue gas desulfurization (FGD) system, stalling issue boiler axial-flow induced draft fan (IDF) was analyzed. By testing running characteristic parameter IDF at scene, combining with its characteristic: curve, it discovered that actual working point nears theory stall line, would appear during running. In order to make keeping away from line avoid IDF, KSE ( steady implement function ) equipment installed entrance IDF' changing position line. The...

With the rapid development of distributed generation technology,a lot renewable wind and solar power connect to system. Due random intermittent characteristics energy, it brings a big challenge security economical operation limits climbing speed, non-renewable energy units cannot respond quickly change in output units. Owing advantages high luminous efficiency long lifetime, LED lamps get promotion application smart distribution network. Based on optical electrical unique properties lamps,...