In order to know the working state of drilling rig in far distance without going near the working site, a new control method of multiterminal parameters-monitored system based on ARM (Advanced RISC Machines) for coal mine tunnel underground was introduced in this paper. Firstly, the input signal from sensor module was transported into ARM processor and treated, and then outputted to all the display...
Aiming at the numerous adjustable parameters, poor chattering attenuation ability and unsystematic parameter tuning method of arctangent-based extended state observer (AESO), an arctangent-based extended state observer with terminal attractor (AESOT) is designed. By introducing the terminal attractor in sliding mode control, ESO could obtain a better interference rejection ability and a fewer quantity...
It is an important topic in the current image processing and analysis to use the photos or video to determine the shooting position and time. Analyzing the change of the object's sun shadow is an effective way to solve this problem. In this paper, the 3D scene photography is modeled to simulate the virtual reality by the software UnrealEngine 4 and the scene of the video can be reproduced accurately...
In order to realize the position sensorless control of High-Speed brushless DC motor, a new zero crossing optimization detection method is proposed, which is sampled in the specified period, and then the relationship between the zero point voltage and the sampling example is modeled. The least squares method is used to analyze the approximation of the oversampling system, which directly detects the...
Calculating endurance is very important for solarpowered airplane, both with respect to aircraft designs and mission planning. This paper presents a graphical method to evaluate the approximate endurance of solar-powered unmanned aerial vehicles (SUAV). The method, which is based on the principle of energy balance, is established in this study. According to the principle, cruise endurance is considered...
Text based communication plays vital role in human interaction. Due to the dominance of physical and cognitive health problems the group of growing old people is becoming notable in the entire population. Many text entry systems based on human computer interaction have been designed and developed to improve the communication for disabled and aged persons. There is still need of efficient text entry...
The evolution of molecular cloud(MC) brings about various stars and galaxies. A simple two-stage MC based evolutionary model is proposed to reorganize a word cloud into a galaxy-like cloud. Based on the model, an evolutionary algorithm simulates the moving and colliding of stage-1 MCs, and the merging and collapsing of stage-2 MCs. In addition, it considers long range force based disturbance, which...
There are some shortcomings in the man-machine of the traditional elevator, so it is necessary to analyze and design the man-machine system of an existing lift using the principle of ergonomics and human template size combined with the knowledge of measurement, tactile channel and visual channel interface. Then the improved size and color scheme of the vertical elevator are come up with according...
In view of the rapid growth of digital library data, the data of different structures are increasing day by day. The traditional data processing model can not be qualified for the storage and management of massive heterogeneous data. A Hadoop-based digital library service system is designed and implemented for all the practical problems in the big data field. The system makes full use of the massive...
With the arrival of big data period, mass data storage is a hotspot topic in big data analysis with the expansion of information and variety of data structure. There is an urgent need for efficient storage and management of big data to provide realtime or near-realtime query for data analysis. In view of the rapid growth of spatial data, the data of different structures are increasing day by day....
Suppressing the spreading of disease has been one of the most studied topics in recent years. The most effective way of constraining the spreading of disease is increasing the investment of public resources. However, the recovery of the infected populations are mainly depend on the support from neighbors other than the support from government. To this end, we consider a model of disease spreading...
Traditional target tracking algorithm uses manual extraction of features, which is difficult to cope with the challenges of rotation and occlusion and deformation. Based on the deep learning method, the convolution neural network is used to extract the features. Because of lost a lot of spatial information in the convolution process, it's easy to make the tracking target drift. In this paper, we use...
The PrefixSpan algorithm needs to rerun the algorithm in the process of incremental updating of the sequence pattern, needs to scan the original database repeatedly and needs to construct the large number of projection databases in the mining process. In order to solve these problems, the IPISP algorithm is proposed. The IPISP algorithm uses the sequence pattern base(SPB) to store all the mining sequences...
based on accident investigation analysis of domestic and international chemical industry park, analyzes on chemical industry park in recent years on the basis of the causes and the mechanism to cause an accident in China, absorbing domestic and foreign chemical industry accident experiences, establishes the integrity chemical safety assessment system. According to experts grade on Hubei chemical industry...
This paper mainly discusses the integration strategy of two-step optimization in IMRT (step and shoot type) which is carried on by MLC. Firstly, we introduce the goal of fluence map smoothing method, which is widely used in IMRT inverse planning. After that, we give the definition of the total number of segments (TNS) and the total number of monitor units (TNMU). Furthermore, we point out that the...
This paper reviews nonlinear filtering method and its application in sampling. From Bayesian estimation theory, the character and usage and application range of Kallman filtering and extended Kallman filtering and sigma Kallman filtering and particle filtering are analyzed. At last, this paper also discusses the foreground of developing direction with nonlinear filtering.
OFDM (Orthogonal Frequency Division Multiplexing) system is one of the most widely used power line communication (PLC) systems, and the noise of power line channel is one of the main factors that affects the reliability of power line communication. The development of power line communication technology is of great practical significance for the remote monitoring and remote meter reading of power system,...
Clustering analysis was conducted on a solid rocket motor nozzle to investigate its internal flow field response under spinning condition. A Reynolds stress model and enhanced wall function were adopted to solve the Navier-Stokes equations with swirl flow. Wall temperature and tangential velocities distributions at three random locations of the divergent section, throat and convergent section were...
This paper presents a novel method which takes advantage of the K-means clusters and effective degree of clustering to recognize the abnormal data of electricity consumption by PLC communication. The novel clustering method was used to supervise the abnormal or missing data by the badly quality of PLC communication effectively. Firstly, we extract good historical data as the basic cluster according...
In this paper, an algorithm based on fuzzy PID control is designed to solve the problem of intelligent control of greenhouse. Greenhouse heating system is a multivariate, large inertial, nonlinear system, and there are the phenomenon of crossing connected, pure delay and so on. It is difficult to establish mathematical model and realize the accurate control of automation. In this paper, the expert...