Aiming at the problems of slow recognition,low efficiency and degree of automation in handwritten letter recognition system at present,a handwritten letter recognition system based on extreme learning machine is desig...
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Aiming at the problems of slow recognition,low efficiency and degree of automation in handwritten letter recognition system at present,a handwritten letter recognition system based on extreme learning machine is designed in this *** system is implemented by mixed programming with M ATLAB and visual studio,it can reads,normalize,binarize and extract the handwritten letter *** real-time interactive recognition of handwritten letters can be realized on the basis of training the simple pictures by using the identification model of the extreme learning machine *** experimental results show that the handwriting recognition system based on extreme learning machine designed in this paper can recognize 98.82%of handwritten letters and greatly reduce learning and testing *** with BP neural network and other recognition algorithms,its training times have been reduced by hundreds or even thousands of *** the same time,there is no manual intervention in the entire learning and testing process,which improves the automation of handwriting recognition.
An improved spectral reflectance reconstruction method is developed to transform camera RGB to spectral reflectance by inserting white balance and link function during the training-based method. The novelty in our met...
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An improved spectral reflectance reconstruction method is developed to transform camera RGB to spectral reflectance by inserting white balance and link function during the training-based method. The novelty in our method is the use of whitebalancing to normalize the scene illumination and link function to transform the reflectance, we use a radial basis function network to model the mapping between camera-specific RGB values and specific reflectance spectra. Experimental results indicate that the proposed method significantly outperforms currently existing methods in terms of spectral error and shape especially under the illumination not present in the training process.
With the development of smart home, various appliances are becoming intelligent. In this paper, i Mirror, an intelligent mirror based on facial expression recognition and color emotion adaptation is proposed, which is...
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With the development of smart home, various appliances are becoming intelligent. In this paper, i Mirror, an intelligent mirror based on facial expression recognition and color emotion adaptation is proposed, which is considered as a human-mirror interaction system through real-time facial expression recognition and color lights control based on color emotion *** can not only work as a real mirror for personal grooming, but also record the mood of the user and adapt to it with color presentation. Experiments on facial expression recognition and color emotion adaptation are performed by ten students aged from 18 to 25, from which the experimental results show that i Mirror can effectively identify facial expressions and control light color, in addition, the results of a survey show that 87.7% experimenters agree to use colorful lights to adapt to facial expressions.
In order to study the cement hydration characteristics in the process of cement condensation, based on eddy current measuring technology and GMR(giant magnetoresistive sensor), it designed a non-contact cement-hydrati...
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In order to study the cement hydration characteristics in the process of cement condensation, based on eddy current measuring technology and GMR(giant magnetoresistive sensor), it designed a non-contact cement-hydration-characteristics measuring device. As an advanced nondestructive detection technology, Eddy current detection is convenient and *** GMR has high sensitivity and good linearity. Combining eddy current detection technology with GMR in design, it successfully gets rid of electrode polarization in traditional contact testing method, and greatly improves the accuracy of cement impedance measurement, and it effectively solves the collision problem that the excitation coil needs high frequency and the measure must have high sensitivity. The measuring device mainly includes magnetic field, GMR sensor, and STM32 F427 micro-computer data acquisition system. The testing results show that the device has high precision, good repeatability.
In the modern power system, overvoltage phenomenon occurs frequently. Overvoltage generation will cause electrical equipment breakdown, explosion, and other accidents. These accidents not only cause unnecessary econom...
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In the modern power system, overvoltage phenomenon occurs frequently. Overvoltage generation will cause electrical equipment breakdown, explosion, and other accidents. These accidents not only cause unnecessary economic losses but also seriously affect the operation of power system. The popularization and application of on-line monitoring technology for UHV AC and DC transmission lines provide a guarantee for the safe operation of the power grid. Monitoring the overvoltage intrusion of UHV substations and accurately recording the parameters of overvoltage intrusion is of great significance to the study of overvoltage and the protection of over-voltage in substations. Based on the analysis of the principle of a monitoring system, this paper puts forward the mathematical model of a monitoring system. According to the basic functions of a monitoring system, it puts forward the overall design plan combining the upper computer and the lower computer, and the key problems to be solved in the monitoring system. Including the board design and the high speed data acquisition board based on FPGA design of control system based on STM32, and the automatic variable rate compression technology, GPS timing and Timekeeping Technology, overvoltage invasion wave trigger judgment, high speed data acquisition and cache technology and based on TCP protocol according to the number of batch transmission.
Based on the hierarchical control system of sintering process, a carbon efficiency performance assessment method is proposed. Firstly, performance evaluation model of sintering process is designed according to the cha...
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Based on the hierarchical control system of sintering process, a carbon efficiency performance assessment method is proposed. Firstly, performance evaluation model of sintering process is designed according to the characteristics hierarchical control structure of sintering process. Then, the performance index of the comprehensive coke ratio(CCR) in the carbon efficiency optimization layer is designed to achieve the carbon efficiency performance assessment. Next, the performance indexes of burning through point(BTP) control system of the optimization control layer and the fuzzy synthetic evaluation method based on information entropy are designed. The proposed carbon efficiency performance assessment method is implemented on the simulation platform of the sintering process in the laboratory, which effectively realized the performance assessment for sintering process plant level control system, and then provides effective information for the staff to maintain the control system.
Sintering process is the second most energy-consuming process in steel making and the main energy consumption of the process is the combustion of carbon. Under the background of the transformation of the world’s majo...
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Sintering process is the second most energy-consuming process in steel making and the main energy consumption of the process is the combustion of carbon. Under the background of the transformation of the world’s major economies to the low carbon economy, to improve the carbon efficiency for saving energy and reducing undesired emissions is of great *** this paper, the comprehensive coke ratio(CCR) is taken as the index of the carbon efficiency. Mechanism analysis was carried out to analyze the influences of the CCR and a predictive model of the CCR based on back-propagation neural network(BPNN)is built that contains state parameters predictive model and the CCR predictive model. Then the optimization method for the CCR is formulated, which aims to minimize the CCR by optimizing the operating parameters. Finally, the method was implemented in an intelligent optimization and control system for carbon efficiency(IOCSCE) in an iron and steel plant. The running results show that the method can reduce the CCR by an average of 1.98 kg/t and effectively reduce the energy consumption of the sintering process. Thus, it can provide guidance for the operators of the sintering process and improve the carbon efficiency.
In the process of geological exploration, the development of automatic control is insufficient. The paper presents an improved strategy of attitude controlfor directional drilling tools used in the geological environ...
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In the process of geological exploration, the development of automatic control is insufficient. The paper presents an improved strategy of attitude controlfor directional drilling tools used in the geological environment. The drilling kinematics model is linearized with the Taylor series, and the model linearization solves the nonlinear term of the azimuth *** PI controllers are used to control attitude inclination and azimuth, respectively. The results of the transient simulation are presented, and the control effect of improved performance are certificated.
The human-computer interaction technology which based on the gaze tracking system is convenient and fast. It can achieve the purpose of sight and computer interaction. Based on the relatively static head tracking syst...
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The human-computer interaction technology which based on the gaze tracking system is convenient and fast. It can achieve the purpose of sight and computer interaction. Based on the relatively static head tracking system, we make improvements for OTSU algorithm to separate the binarized pupil image and the background image completely. I wrote a function to delete a small area that gets a complete and clear binarized pupil image for the existence of small area noise clump. Finally, using the contour extraction method and the three-point circle method to complete the task of Pupil location.
To ensure the efficiency of people’s work while working long hours,an initiative service method with regard to degree of sleepiness for drinking service robot is *** can recognize the degree of sleepiness and provide...
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To ensure the efficiency of people’s work while working long hours,an initiative service method with regard to degree of sleepiness for drinking service robot is *** can recognize the degree of sleepiness and provide initiative service to increase the efficiency of people’s *** of sleepiness is defined as three levels by observer rating,which is supposed to be associated with human actions,environmental factors,and individual *** addition,a model of degree of sleepiness based on Finite State Machines(FSM) is *** relationship between human demands and degree of sleepiness is established through demand analysis model by which the initiative service with regard to degree of sleepiness for drinking service robot is *** on real initiative drinking service are performed in a multimodal emotional communication based on human-robot interaction(MEC-HRI) system,from which the experimental results show that the time of initiative service is 8 minutes earlier than that without initiative *** prospect,the proposal could be applied to other kinds of services such as health care,safety driving assistance,and other safety work assistance.
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