The screw conveyor with no overlap between two screw blades and the screw conveyor with large overlap between two screw blades were simulated by discrete element method and the distribution of particle axial velocity, angular velocity, forces around the shell and forces around screw blades was carried...

In order to realize the obstacle avoidance and tracking movement function of the 3-wheeled intelligent car with integrity constraints, the kinematics model of the car is derived first, and the control of the speed of the car-driven DC motor, i.e. the wheel speed, is realized by using the PWM control...

Compared to wheeled and tracked robots, bionic robots are playing an increasingly important role in search, rescue, anti-terrorism and scientific investigation. The vision processing system is the vital part of the bionic robot system, and its algorithm determines the overall control performance of the...

During the recovery of AUV, the hydrodynamic power of the hull becomes intricate due to the presence of the submarine. It's unable to accurately obtain the forces and moments in all degrees of freedom. In this paper, we put forward the plan of traversing, depth control and path planning for complex hydrodynamic...

As a nonlinear time series prediction method, echo state network (ESN) attracts more attention because of its good approximation capability for the nonlinear system. Aiming at the characters of nonlinear time series in the Turbine's condition prediction analysis, such as including noise and presenting...

Ejector is an important component of pneumatic conveying system and has important influence on the performance of pneumatic conveying system. For the design of the ejector, the system back pressure is generally calculated according to the layout of the pipeline, thus the ejector structure is pushed....

In order to study the influence of wind turbine blade and the blade centrifugal stiffening effect on natural vibration characteristics of wind turbine tower, the finite element model of wind turbine tower was established. By calculating the axial force under the rotating state of the blade, the additional...

A flow stress calculation model considering the interval softening was established based on the the single- and double-hit true stress-strain curves of IN718 alloy for multiple-pass hot continuous rolling process. The data calculated by the single-hit flow stress model and the double-hit softening fraction...

Multi-sensor fusion is an effective way to realize low-cost and high-precision positioning on train. And Kalman filter algorithm is easy to be applied in the computer, so it is one of the important research directions of information fusion. This paper studies on the odometer in multi-sensor fusion system...

The PHM (Prognostic and Health Management) system structure of armored vehicle has a very important influence on the reliability, security, mission success and life cycle cost of armored vehicle system. In view of the lack of scientific evaluation method for armored vehicle PHM system structure, a structural...

Cable-driven mode has the advantages of low inertia, low noise, high accuracy and some other unique advantages in some occasions. Therefore, the application of cable-driving technology in robots is more and more extensive. Many researchers have also carried out in-depth researches and discussions on...

In order to monitor the unmanned aerial vehicle(UAV) around the no-fly zone, we proposed a new unmanned aerial vehicle Early warning method for the no-fly zone (NUCLEI) which gives an alarm to the UAV around the no-fly zone in real time. We utilize the least square method to match with the flight trajectory...

The increasing demands of modern industry for motor control make the software more and more complex. The simulation platform and the hardware test platform in traditional control system of permanent magnet synchronous motor (PMSM) are often independent of each other. This paper aims to simplify the PMSM...

The elderly travel safety has attracted more and more attention, this paper studies a real-time positioning measurement using intelligent shoes system that can locate the position information of the elderly in real time. The project is a positioning system integrated in the bottom of the heel part of...

To solve the problem of blind travel, a guide system based on image processing is designed. The visual information collected by a CCD camera. The voice information is used to communicate with the user. The overall design of this system is given. Recognize the zebra line by the bipolar system value. Recognize...

Traditional dehazing methods always use the dark channel a priori method to recover the original image, which leads to the calculation of the transmission is large and takes too much time. Therefore, in this paper, we present a fog-day-based image sharpening algorithm based on depth of field estimation....

This paper proposes a method for welding process surveillance, using the CCD camera and the spectrograph for the acquisition of the welding arc image and the spectral information. The spectral information inferred the temperature distribution and the metallic vapor density in the welding arc space. The...

In this paper, we present a new framework to detect pedestrians in infrared images. The framework consists of a candidate generation module and a classification module, both of which are implemented based on convolution neural network. Specifically, we learned effective segmentation threshold by deep...

The aim of this study is detecting disease edge of the medical CT (Computed Tomography) image. This paper describes the method by using 3-Tap bandpass filter signal and two high frequency sub-band CT images in wavelet domain for detecting part of disease. Simulation result show that the proposed method...

When talking about auditory perception, it remains unclear how people could achieve sound identification and localization efficiently even in the middle of chaos. Though the dual-pathway model is widely held, there are still controversies in specific brain regions. Moreover, some machine learning methods...

In order to solve the problem of insufficient accuracy of the existing person re-identification methods. We propose a neural network model for identifying pedestrian properties and pedestrian ID. Compared with the existing methods, the model mainly has the following three advantages. First, our network...

We propose a method to perform face detection and facial keypoint detection in parallel. On the basis of the traditional object detection framework Faster R-CNN for face detection, we have designed a facial keypoint detection network with the same base network. And the two networks share the weights...

To aim at the challenge of face recognition to uncontrolled situations, an ensemble method of global and local representation for face recognition is presented in this paper. shearlets transform is firstly employed to decompose a image into subimages. Then directional information is utilized along with...

SRGAN has successfully applied the Generative Adversarial Network to the single image super-resolution reconstruction, which has achieved good results. But the loss function based on feature space in SRGAN objectively sacrifices the pursuit of high peak signal-to-noise-ratio (PSNR), which is the result...

In the multi-spectral image registration, because of the different imaging mechanism, the distribution of image's pixel gray value is non-linear. So the traditional matching algorithm based on gray correlation and image feature cannot be used simply. Since the mutual information measure does not need...

Grid cells in the MEC (media entorhinal cortex) of rats show repetitive hexagon firing pattern while moving through the environment. In the deeper layer of the MEC, a kind of interneurons have both the head-directing (HD) and grid-like firing properties. The predecessors' observations indicate the grid...

The vehicle kinematic parameter is important evaluation index of vehicle performance. But the measurement technique for vehicle kinematics parameters is still immature. Practical and efficient measuring system is now in badly demand. With the development of machine vision technique, more and more measurement...

Emotion recognition rapidly gains interest from research community, which gives computer the ability to recognize, understand, express, and adapt to human emotions to help computer more intelligent. Traditional emotion recognition modalities (e.g. face and voice) always could not identify the totally...

Named Entity Recognition(NER) is a very important part of many Natural Language Processing(NLP) tasks, but the accuracy rate of NER has not reached our expectation, especially in Chinese. Therefore, we studied NER task in Chinese social media. Compared to the previous papers on this dataset, we propose...

Multi-target tracking is a popular research topic in the field of computer vision. Most recent works based on tracking-by-detection paradigm have trouble when dealing with tracking errors (i.e. identity switches) that are caused by overlapping of different pedestrians. In this work, we propose a novel...

We present an overview of neural network approaches for efficient modeling, simulation and optimization of high-frequency electronic and microwave circuits. Neural networks trained from electronic/microwave data are subsequently used for circuit simulation and optimization. A brief introduction of the...

In the past few years, the automotive electronics and sensing technologies have developed rapidly. Today, the status of most of the sub-systems in a running vehicle can be accurately monitored. This process produces a huge amount of data. Extracting the potential value of such data, to for instance support...

Many physical phenomena can be modeled as the propagation of sound or radio waves, the fluids flow, the dis-tribution of gas, the dispersion produced in a river, etc. With the help of the AC we can deduce very realistic situations. In previous work, we simulated the propagation of sound in the city using...

In the paper we describe a software developed to simulate the complexes of the surface infrastructure of oil and gas fields. The created software is based on methods and algorithms proposed by the team of authors for constructing models of surface equipment for hydrocarbon deposits. The proposed approaches...

First, this paper establishes a three-dimension simulation model of the planar 3-dof parallel mechanism, and realized its kinematics simulation;Second, the velocity and acceleration curves of the mechanism are simulated by differential method and influence coefficient method, and the Singular configuration...

Representational redescription is an important theory which describes conceptualization as an implicit to explicit process. This paper analyzed stages in the description in two dimensions on structural formation and generalization respectively. Focus on the structural formation dimension, this paper...

In the paper we describe a new approach to the construction of a model, applied for a complex for the extraction and processing of hydrocarbon raw materials. The basis of the model is a group of independently functioning components, organized on the basis of modern Arificial Intelligence methods, including...

This paper discusses a case-based approach to teaching process control involving modeling, measuring, PID and cascade control methods. In the traditional process control teaching, there are some problems such as knowledge points are taught without any example or taught by different examples. which make...

As a child frame of Hibernate framework, Hibernate shards provides an effective implementation scheme for the database slicing technology developed by SaaS, expands the shared database and sharing mode, and the program development, deployment and implementation are similar to Hibernate, At present also...

Data prefetching has been widely used in modern cache subsystems. Actually, an aggressive prefetching may bring negative yields unexpectedly, in which a new proposed prefetching strategy normally needs to be evaluated before being applied in the real design. In the last decade, prior researchers prefer...

The basic law and method of Hilbert-Huang Transformation (HHT) is introduced, and HHT is induced into the application study of dynamic EEG data under +Gz acceleration. The dynamic EEG data at static state that is when 1G and under +Gz acceleration is made time frequency analysis by using HHT method,...

Compared with the others data, scientific and technical literature is multi-source and multiple types. Its content is more emphasis on technical and correlation. In order to analyze and evaluate it, the paper got the value of correlation based on VSM. And it introduced the value of correlation into evaluation...

It is recommended to monitor the time between events(TBE) when the defect rate is very low. An unbiased median chart is proposed to monitor exponential distributed TBE data and some design parameters are provided for ease of application. For the parameter is usually unknown, the effects of estimation...

The recommended algorithm is one of the most popular applications of today. Firstly, the original data is cleaned and processed, and then the association rules model and user value analysis model are established in this paper. Secondly, a Apriori algorithm is used to analyze the relationship between...

With the development of GPU's general computing power, hybrid systems composed of multi-core CPU and GPU are becoming more and more popular in data parallel applications. Because the performance of GPU is related to the magnitude of the load received, effective load allocation methods are very important...

In this paper, the quaternion method is used to get the accurate aircraft attitude. It is introduced coordinate system and attitude angle establishment, attitude angle acquisition and data fusion algorithm in detail. Experiments show that the algorithm effectively suppresses the gyroscope deviation and...

Path planning in complex environment is the main foundation of flights automation navigation. Therefore, this paper aims to propose an algorithm combined ant colony optimal algorithm with potential field heuristic information. The main implement method of this algorithm is to use the information between...

One primary goal of structural reliability analysis aims at computing the probability of failure of a component or system with respect to some prescribed performance functions. In modern engineering, most performance functions usually resort to running an expensive-to-evaluate computational model, which...

An approach of sleep stage classification based on Time-Frequency analysis and Random Forest (TFRF) on a single channel is presented in the paper. Before classifying sleep stages, representative features are extracted by feature extraction method, such as FFT in the frequency domain of EEG signal and...

Intelligent building and environment sensing technology are becoming more and more popular. Many office buildings use IoT to set up environment collection sensors to collect environmental information, however the way of evacuation inside still using traditional evacuation guidance equipment. Therefore,...

One of the most significant achievements in modern healthcare systems is the release of the IEEE 11073 family of standards, which formalize the compatibility and interoperability of medical devices and external computer systems. However, IEEE 11073 does not define standards and modes of communication...

Grid technology as a new information technology enables resource sharing and the "two fog" eliminating in the field of equipment support. Firstly, the demands of equipment support grid design were analyzed. Besides, the three popular grid architectures were outlined. Finally, the equipment support grid...

The information service industry is regarded as one of the new poles of growth for China's economy with much more effective productivity of factors and it is overall most competitive in the Yangtze River Delta region. In this paper, the quantitative analysis of total factor productivity (TFP) growth...

In passive ultra-high frequency (UHF) radio frequency identification (RFID) system, tag collision is generally resolved on a medium access control (MAC) layer. However, the collided signals are in fact recovered on a cross-physical (PHY)-MAC layer to enhance identification efficiency. This paper adopts...

Wireless Sensor nodes are small, low power consumption nodes which are basically used for sensing, transmitting and receiving the target values to specify nodes. Basically, we deploy nodes to collect information about specific region and to know about current and future results. Wireless Sensor Networks...

The transmission capacity of ultra-high voltage direct current (UHVDC) transmission system is huge. Once a fault occurs, it will bring tremendous impact on the operation of the power grid, bring about a number of problems such as power flow overload, insufficient reserve, and frequency drop, and induce...

The near-field electromagnetic ranging (NFER) technology exploits the near-field phase behavior of low frequency signals to measure the distance and can provide better ranging performance than the high frequency signal based methods in the cluttered environments. However, the currently existing NFER...

Nowadays, with the increasing number of protein sequences all over the world, more and more people are paying their attention to predicting protein subcellular location. Since wet experiment is costly and time-consuming, the automatic computational methods are urgent. In this paper, we propose a variant...

Chinese calligraphy synthesis is important meaningful to protect non-heritage cultural and augmented reality. In this paper, we proposed an algorithm of Chinese Calligraphy synthesis based on examples. First, we construct a stroke library represented by vector. Second, we obtain the trajectory of character...

In order to improve the navigation precision of the classical sandia inertial terrain aided navigation (SITAN), replacing kalman filter (KF) with particle filter (PF) for nonlinear system, this paper modifies and compensates inertial navigation system (INS) by terrain matching. Moreover, this paper proposes...

In recent years, along with the improvement of population quality and the advancement of the rule of law society, the market for legal services in the middle and low-end markets has continued to expand, and legal advice has become widespread in daily life. In the process of legal services, the legal...

Generalized Stewart Platform is the extended form of Stewart platform of parallel linkages, which is two rigid bodies connected with six constraints. The classification of direct kinematics to 3D3A generalized Stewart platform with equilateral triangle platforms based on symbolic computation is presented....