Pedestrian detection task is generally composed of location and classification. In this work, we consider the problem of pedestrian detection under the condition of blurred pedestrian targets and small pedestrian scales. Most methods are only suitable for the detection task under ideal conditions or simply consider one of the above problems. For the sake of achieving better results, we proposed a new

We developed a system to conduct posture-measurable virtual prism adaptation therapy using an inside-out tracking stand-alone virtual reality system. This system enables the construction of a unilateral spatial neglect (USN) treatment room that is closed off from external stimuli from all surroundings in a hospital or home. Furthermore, it expands the prism adaptation body adaptive site, which was

This paper proposes a novel deadbeat predictive torque control (DPTC) scheme to minimize the torque ripple of switched reluctance motor (SRM) drives. The proposed DPTC consists of torque inverse model and flux-linkage controller. The torque inverse model is used to realize the nonlinear mapping from the desired torque to the flux-linkage. On this basis, the flux-linkage controller predicts the required

In this study, to improve the speed tracking performance of the switched reluctance motor (SRM), a control scheme combining fast terminal sliding mode (FTSM) control and radial basis function (RBF) neural network is proposed. First, the convergence characteristic of the FTSM control is derived, and a basic control scheme is designed to ensure the fast convergence of SRM speed tracking errors. Second

The high-temperature electric-actuated valve widely adopts the split structure, and the valve stem drives the opening and closing of the valve after passing through the high-temperature packing and sealing structure. However, the transmission chain is too long, which cannot meet the pursuit of small volume and lightweight in the nuclear industry. In this paper, a novel integrated structure of high-temperature

An angle compensator is proposed on a basis of an angle estimation of a permanent magnet synchronous motor. The angle compensator consists of frequency weightings for a speed reference and an angle estimate. Frequency characteristics using a bandpass filter for the compensator are shown. The characteristics are discussed in a comparison with those using the other filters. The compensator gives a controlled

Wireless communication with AM (Amplitude Modulation) is widely used. If the power consumption of the AM receiver is reduced to the utmost limit, the power source can be replaced with an energy harvest, which is very convenient. Power lines will not be needed and batteries will no longer need to be replaced or recharged. Therefore, we propose an ultra-low power demodulation circuit for AM receivers

The rapid growth of electricity demands for recent years leads to many global concerns, including greenhouse, energy risk, and large size brownouts, which require modern energy management system to provide environmental-friendly power supply service with less cost and higher reliability. However, most of previous studies separately focus on improving prediction accuracy or reducing cost and emission

In this paper, we propose a novel multi-objective topology optimization with response surface approximation interpolating various topologies, which is derived by deep learning with training data in the actual design space. The response surface is constructed by means of autoencoder with the training data of geometrically diverse shapes of targeted devices, which can express the interpolations that

We developed a flow and pressure measurement device for detection of extravasation by intravenous injection of anticancer drugs at an early stage. Intravenous injection of a drug solution using a syringe pump enables a low-speed and highly accurate drug-administration rate. However, because the syringe pump forcibly delivers the drug solution, the drug solution is administrated at a constant administration

With regard to a medium-voltage distribution system with low voltage electrical loads (hereafter written as ELs) and distributed generations (hereafter written as DGs), this study proposes a new calculation method for estimating electrical states such as line-to-line voltage vectors and line current vectors at connection points. The proposed method uses the following selected electrical data as input

Heave motion of ships is a complex nonlinear dynamic process and cannot be accurately forecasted using a single prediction model. In this paper, an effective combined forecasting method is proposed to perform ship's heave motion prediction. The proposed method combines back propagation neural network (BPNN), autoregressive model (AR) and extreme learning machine (ELM) through an induced ordered weighted

This study demonstrates the gaze position on a PC monitor while typing with and without browsing any sources. Six subjects (touch-typing and non-touch-typing) entered text with and without browsing a web page, and we analyzed the percentage of gaze on each window of the software running on the monitor. The proposed method comprises three steps: detecting the entry operation of a word processor or text

The electromagnetic vibration and noise level of ultra-high-speed bearingless permanent magnet synchronous motor (UBPMSM) for air compressors used in the fuel-cell vehicle (FCV) is an important evaluation. A 10 kW, 100 k r/min UBPMSM is adopted as the object of study in this research. The expression of radial electromagnetic force of UBPMSM is derived through theoretical analysis, and the order and

For realizing the widespread application of fast charging of electric vehicles, a direct current circuit breaker (DCCB) is required to interrupt a large charging current. For developing a next-generation DCCB that can satisfy this requirement, a three-dimensional electromagnetic thermal fluid simulation was developed to mimic the interruption process of the DCCB, and an artificial intelligence (AI)

In order to fill the blank of practical engineering application of inductive control in ozonizer power supply, this paper probes into a scheme of high frequency and high voltage inverter for the control, and analyses operation modes to form a reasonable theoretical result, and introduces a new current zero crossing and phase locking method to adjust the address deviation and ensure that the address

In order to reduce the thrust ripple caused by the detent force and improve the thrust capacity of the permanent magnet linear synchronous motor (PMLSM), a flat-type PMLSM is taken as the study object to globally optimize the motor parameters. Firstly, an analytical model for PMLSM is established. The end effect force based on the virtual displacement principle and the cogging force using the equivalent

Partial deep saturation of magnetic circuit is common in short-term working permanent magnet (PM) machines in aviation, aerospace, new energy power generation and other fields. In order to accurately calculate the electromagnetic characteristics of the short-term working machine, a novel mesh-based equivalent magnetic network for the deep saturation region is proposed. Firstly, the deep saturation

The double-sided permanent magnet linear synchronous motor (DS-PMLSM) is widely used in the industrial field with high precision and long strokes due to simple construction, high instantaneous thrust and high controllability. However, parasitic issues, such as unavoidable manufacturing tolerances, might cause the symmetrical position deviation of primary or secondary components, which results in an

Accurate assessment of lightning protection performance of extra high voltage transmission lines is important for transmission line design and different lightning protection. Based on the electro-geometrical model, this paper introduces the angle influence factor, and presents an algorithm for shielding failure trip-out rate of angle tower, and the existing algorithm is expanded. By establishing the

Submersible motors are widely used in industry, agriculture, and life. Despite their safety and efficiency, submersible motors suffer from a harsh working environment. Overheating and overload may cause seal damage to make sediment flood in, which will lead to bearing faults. Meanwhile, due to the particularity of the working environment of submersible motors, the traditional method of detecting bearing

Aiming at the problems of inherent chattering of traditional sliding mode control system of permanent magnet synchronous motor and further improving the control precision, a new fuzzy exponential reaching law sliding mode control method optimized by improved differential evolution (DE) algorithm (DEFSMC) is proposed in this article. A new hyperbolic tangent function with fuzzy boundary layer is proposed

The successful application of deep learning in bridge damage diagnosis relies on the assumption that the training and test data sets obey the same distribution. However, it is difficult to obtain labeled data of damage status for a bridge in using. Otherwise, it is difficult to apply a model trained with bridge A (source domain) to diagnose bridge B (target domain) because of the distribution discrepancy

Based on current filament method, the model of multistage synchronous induction coil launcher is established. The model considers the coupling effects between the drive coils, between the drive coils and each piece of armature, and between each piece of armature. In addition, in the launching process, the effect of drive coil and armature resistance and inductance generated by skin effect, magnetoresistive

To achieve accurate and rapid measurement of the hydrophobicity class (HC) of composite insulators, an intelligent spray image recognition technique based on light-weight convolutional neural networks (CNN) is proposed in this paper. A spray image data set contains clean, contaminated and aged insulators with various illuminations, shooting angles and distances, about 10 400 images of shed surface

Fractional slot concentrated winding (FSCW) is a kind of winding structure with few-slots/coils multi-poles. FSCW has the potential value of high torque density due to its short end-winding and high slot fill ratio and is widely used in low-speed direct-drive application situations. However, compared with integral slot winding (ISW), the back EMF coefficient of FSCW is smaller, which leads to smaller

For the power system integrated with the doubly-fed induction generators (DFIGs), the frequency regulation may be provided by the DFIGs in addition to the synchronous generators (SGs). With the model predictive control (MPC), the active power output of the DFIG is adjusted by predicting the system frequency with the dynamic power flow (DPF) algorithm. In this paper, the governor delay of the SGs is

Brain–computer interfaces (BCIs) measure brain waves to assist communication and operation of equipment. However, for application of BCIs in real life settings, portability and environmental adaptability are crucial. For BCIs using visual stimuli, portability can be achieved by using augmented reality (AR) with head-mounted displays, but prior placement of markers in the physical space is required

With the rapid expansion of the scale of the power grid, the efficiency of fault diagnosis has been severely challenged by the large amount of inspection image data generated by intelligent devices such as drones and inspection robots. In order to improve the efficiency of fault diagnosis for power equipment in substations, a new method for intelligently diagnosing different types of faults in power

It is of prime importance to realize the integration of variable renewable energy sources (VRE) for sustainable energy society. The frequency regulation becomes an important issue in the power system with more VRE integration due to uncertain output fluctuation of VRE generators. Another issue caused by VRE integration is congestion management in transmission network, and locational marginal price

In this article, a community integrated energy system (CIES) coupled with electricity, gas and heat is investigated, which integrates with renewable energies such as photovoltaic and wind turbine. The main goal is to seek an optimal scheduling scheme, including reducing the operating costs and fully exploiting the demand response potential. Firstly, given the structure of CIES, the system equipment

A new method of dissolved gas analysis is proposed to improve the accuracy of transformer fault diagnosis. The slime mold optimized support vector machine (SMA-SVM), and logarithmic arctangent transform (LOG-ACT) are combined. On the one hand, the better global optimization performance of SMA is used to optimize SVM parameters to solve the difficulty of SVM parameter selection. On the other hand, corresponding

Aiming at the coil offset of magnetic coupling wireless power transmission (WPT) system with the Series–Series (SS) resonance structure, in order to stabilize the transmission efficiency above 80% according to SAE J2954, Control method and variable topology design with the maximum lateral offset of 20 cm are researched on. In this paper, the mutual inductance theory is adopted to establish an equivalent

It is hoped that remotely classifying stress-coping styles can be applied to decisions about how to approach things, learning, etc. In this study, we devised a classification method for stress coping styles based on the time-series correlation of facial area temperature. As a result, we were able to classify stress coping styles with about 70% probability. © 2022 Institute of Electrical Engineers of

This paper investigates a deep learning-based wind-forecasting model to establish an accurate forecasting model which can support the increasing growth of wind power generation. The wind forecasting means wind speed and direction forecasting at the same time. Proposed forecasting model consists of three-dimensional convolutional neural network and deep convolutional long short-term memory (3DCNN-DConvLSTM)

With the wide use of new energy vehicles, the research and development of high-performance generators become more important. The claw pole machine is very suitable to be used as an automobile generator because of its unique characteristics. However, its development is limited by the disadvantage of abundant harmonic content, especially when used with fractional slot concentrated winding layout. A novel

Wet weather makes water film over the road and that film causes lower friction between tire and road surface. When a vehicle passes the low-friction road, the accident can occur up to 35% higher frequency than a normal condition road. In order to prevent accidents as above, identifying the road condition in real-time is essential. Thus, we propose a convolutional auto-encoder-based anomaly detection

In the design and production of electrical and electronic devices and circuits, it is desirable to have a calculation formula for obtaining exact inductance values, which are generally fundamental for coils. In this paper, a formula that can be applied to the exact calculations of the self-inductance of arbitrary-shaped single-layer coils is presented, and its application to the several types of coils

About three million people die from sudden cardiac arrest (SCA) or infarction each year. It is the biggest killer on the planet and it can happen to anyone, anywhere, and anytime. Early and effective diagnosis from ECG signals can help save a large part of these SCAs. Premature ventricular contraction (PVC) detection and classification was performed with different methods. A new method of automatic

Due to the low voltage transmission (no more than 0.866) and weak anti-interference ability of the Four-leg Matrix Converter (4LMC), its application in grid-connected transformation is limited. Therefore, this paper proposes a new modulation strategy of the Four-leg Matrix Converter (4LMC) based on quasi-Z source (QZS). Firstly, the boost principle of QZS-4LMC and three-dimensional space vector modulation

In order to improve the reliability of the traditional doubly salient electro-magnetic generators (DSEG) and realize the isolation of interphase magnetic circuit, a U-shaped rotor stator excitation generator (UR-SEG) for vehicle applications is proposed in this paper. The machine has the interphase physical isolation and short flux path structure because of the U-shaped rotors. According to the theoretical

Real estate price prediction takes an important role in the economy that can drive up and down the stock prices and even generate disruptive economic events. Many researchers have tried to understand the pricing mechanism with machine learning techniques such as support vector machine, neural network, random forest, and AdaBoost. The boundary problem, on the other hand, makes the pricing scheme more

To analyze crystal defects in polycrystalline silicon substrates, it is necessary to measure the crystal orientation at high speed. In this paper, we propose a method for simultaneous and fast estimation of the crystal orientation of an entire substrate by measuring the reflected light from a single rotation of a light source. The effectiveness of the proposed method is verified by the orientation

Residual current circuit breaker with overcurrent (RCBO) is an electrical appliance which involves the safety of users. In order to predict its lifetime, a combined prediction method of Genetic Algorithm-Back Propagation (GA-BP) and support vector machine of grid search (GS-SVM) is proposed. First, the constant stress accelerated degradation test (ADT) is carried out for the RCBO, and the ADT data

Due to that the feature extraction of vibration signal to judge the mechanical fault process of circuit breaker affected by interference, a fault feature extraction method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and support vector machine (SVM) is proposed. Several intrinsic modal function (IMF) components reflecting the mechanical state information of

In order to ensure the train operation safety, it is necessary to analysis the transient response of track circuit in complex electromagnetic environment. According to the distribution characteristics of transmission lines in traction electric network and the structure of ZPW-2000 jointless track circuit, the multiconductor transmission lines model of the traction electric network combined with the

We have developed a 3D lightning mapping system with an array of Discone Antennas working in the medium frequency-high frequency (MF-HF) bands. This system is called discone antenna lightning mapping array (DALMA) and has been deployed in Hokuriku area of Japan for the 3D mapping of winter lightning. Radio waves in the MF-HF bands are rarely used for lightning 3D mapping due to large noises in these

Transformer is a key equipment for constructing power system, and its safe and stable operation is the basis of power system. In order to solve the problems of difficult identification and low detection accuracy of transformer winding at operating state, in this paper, a diagnosis method based on digital twinning technique for transformer winding failure is proposed. Firstly a digital twin transformer

When lightning strikes an apartment building, transient voltages are generated or induced in electrical and telecommunication wires in the building. The transient voltages may cause malfunctions or failures of electronic or telecommunication appliances. Therefore, it is necessary to know the spatial distribution of voltage, generated by typical lightning, in the building. Although there are several

Grid congestion is expected owing to the interconnection of massive renewable energies within the transmission system. Power system operators need to resolve the problem by controlling the output of thermal and renewable generators, such as curtailment, which should be the smallest possible for efficient utilization. Moreover, the equality of generation opportunities should be maintained among renewable

An integrated energy system (IES) is combined with electricity, gas and heating subnetworks to satisfy various loads, which results in a complicated energy coupling. Considering the power interaction between IES and power grid, the real-time dynamic optimal dispatch policies for the on-grid IES are proposed and compared by learning methods to improve the operation economic and peak-shaving performances

In this paper, the relationship between additive particle size and properties of AgSnO2 contact materials was studied. La2O3 and Bi2O3 were selected as additives for contact materials. AgSnO2 contact materials were successfully prepared by powder metallurgy, the wettability and electrical contact properties of AgSnO2 contact materials with five particle sizes of additives were investigated. The results

Recently, the fine-grained geolocalization of User-Generated Short Text (UGST) has been increasingly attracting much attention. Accurate geolocation can benefit many applications, especially for the location-based services. However, since the majority of UGSTs are short, noisy and not geotagged, existing methods still suffer from two issues. One is the heavy reliance on the manual features not fully

Dissolved gas analysis in oil is an effective method for early fault diagnosis of transformers. Predicting the concentration of future characteristic gases in the transformer can assist operation and maintenance personnel in judging the operation trend of the transformer and ensure stable operation. In order to improve the prediction accuracy of dissolved gas in transformer oil based on a small number

Short-circuit accidents hinder the supply of electric power in distribution lines. If a short-circuit occurs, the power supply is interrupted and can be resumed only after the short-circuit point is repaired. Identifying the short-circuit point is time consuming because it is necessary to confirm whether the overcurrent passage indicator is operating and visually confirm the short-circuit point. Therefore

The flow and thermohydraulic characteristics of an atmospheric-pressure argon arc jet plume injected into water were investigated. The temperature of the underwater plasma plume was measured using optical emission spectroscopy, and the water with a thermocouple. The velocity field of the water induced by the arc-jet injection was observed using the particle image velocimetry method, which demonstrated

When designing a controller based on a fuzzy model composed of fuzzy rules, in most cases controllers are designed only based on the consequent parts of the fuzzy rules, equally meaning the information of the antecedent parts is merely ignored. This paper first partitions all of the rules into two groups based on the information of the antecedent parts, in which one contains certain rules around the

Missing values are ubiquitous in the nonlinear regression research, and may lead to bias and a loss of efficiency. Even in a large dataset, values drop-out can substantially reduce the available information for analysis. In this paper, we propose an improved hybrid model to solve the nonlinear regression problem under missing data scenarios, consisting of two parts: an overcomplete winner-take-all

This paper presents a low-power self-contained overvoltage detector. Compared with conventional detectors that consist of stacked Zener diodes, the proposed structure can trim the threshold with binary codes to accommodate system-level changes. The proposed structure enables trimming by adding a decoder, a biasing circuit, and switches in parallel with Zener diodes. The newly configured structure forms

Wireless power transfer (WPT) has been attracting a lot of attention in recent years for its ability to greatly improve the convenience of our lives. Moreover, WPT for Electric Vehicles (EVs) has become an important key to the spread of EVs. The efficiency of WPT using magnetic field resonant coupling can be evaluated by the kQ product, but the optimal coil design method to maximize the kQ product