A support vector machines (SVM) approach is proposed for grout stratum identification based on the grout instrument measurement datum in the grouting consolidation project. The important features of SVM model are obta...
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A support vector machines (SVM) approach is proposed for grout stratum identification based on the grout instrument measurement datum in the grouting consolidation project. The important features of SVM model are obtained by analysis of grout fluid penetration mechanism integrating with grout physical model for pressure control aim. Then we introduce Lagrange multiplier and translate the SVM math model into an unconstrained objective function. The optimal hyper-planes is produced by quadratic programming technics and RBF kernel. In the real grouting project, we draw the osmosis-flow character curves in the different stratum by test , which are major grout parameters changing with stratum. And we obtain the primal datum of SVM classification. At last ,we separately choose 49 group datum for fracture vein rock and gritstone stratum. A part of them is used to training set of SVM ,the other is used to check up the classification effect. Simulations demonstrate identification error is less than 6.13%, so the method can applied to the automatic grout project.
When mono-pulse radar is disturbed by self-protecting noise jamming, angular tracking error signals can be extracted from noise jamming because jammer and echo from a target both come from the same direction. Based on...
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When mono-pulse radar is disturbed by self-protecting noise jamming, angular tracking error signals can be extracted from noise jamming because jammer and echo from a target both come from the same direction. Based on the principle of angular tracking of mono-pulse radar and signal transmission characteristics when noise jamming passes a receiver, a few causes leading to angular errors are analysed and a method of reducing angular error in tracking noise jammer is put forward. A simulative test about angular error of active tracking and passive tracking are made on MATLAB platform, besides, influences of main parameters in the method on angular error of passive tracking are simulated. It is shown that angular error of passive tracking can be reduced by the method.
Fermentation process possesses high non-linear and time difference, and its inherent mechanism is very complex. To carry out further optimizing and control strategy, reasonable model must be gained. There are many cri...
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Fermentation process possesses high non-linear and time difference, and its inherent mechanism is very complex. To carry out further optimizing and control strategy, reasonable model must be gained. There are many critical variables, which are hard to gain in fermentation process. It hold back the effective application of optimal and strategy procedure. Least square support vector machine (LS-SVM) is a kind of extension of support vector machine (SVM). The algorithm of LS-SVM has high precision, fast computing. It is more suitable for predicting online. LS-SVM is presented for modeling of penicillin fermentation process. A model is built by LS-SVM with RBF kernel for mycelial and penicillin. The research result indicates that LS-SVM is an effective method for penicillin ferment process modeling.
This paper presents a new coding technique for fingerprint compression, which is based on contourlet transform and Self-Organizing Feature Map (SOFM) vector quantization. One of the main difficulties in developing com...
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Luminance deficiency of road lighting is one of the primary reasons for night-driving risk. The randomness and uncertainty of accidents caused by luminance deficiency have increased due to vehicle liquidity, and it ca...
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ISBN:
(纸本)9780784409329
Luminance deficiency of road lighting is one of the primary reasons for night-driving risk. The randomness and uncertainty of accidents caused by luminance deficiency have increased due to vehicle liquidity, and it causes difficult in accident analysing and preventing. In order to ensure lighting safety for night-driving vehicles, according to relevance between lighting intensity and visibility and streetlamp location principle, MATLAB was used to optimize road lighting evenness model. Compared with optimization model analytical data, night luminance of forty-two main roads in Harbin was measured actually by TES-1336A digit luminance acquisition system. The model can effectively design parameters selection of road lighting. The standpoint that luminance evenness is one of the indirect reasons for traffic accident is provided in this paper. Then theoretical basis of streetlamps modification projects for visibility deficiency roads and night-driving accident analyse was established. Copyright ASCE 2007.
The combination of the chaotic theory and the cryptography is an important study field of the image encryption. Classical Arnold cat map can change the position of image pixel points through iteration, but these pixel...
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In this research, we propose and develop a remote medical-care support system for supporting nurses, care managers and care helpers during their work. The proposed system has two functions: a multi-point communication...
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Vector controltechnology is regard as a kind of controlling manner of AC asynchronous motor, and it is already become the first method of the high-performance variable-frequency speed regulating system. Compared with...
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ISBN:
(纸本)142440813X
Vector controltechnology is regard as a kind of controlling manner of AC asynchronous motor, and it is already become the first method of the high-performance variable-frequency speed regulating system. Compared with SPWM, SVPWM (Space Vector Pulse Width Modulation) has been used widely because it has better performance. This paper introduced the basic principle of voltage SVPWM and vector control. A full-digital solution with TMS320LF2407 using simplified SVPWM control method is presented. Through the experiment of controlling to a practical motor, the resulted shows that this method is feasible, the controlling system has better dynamic and static performances and controlling effect, it would have a prospect widely used.
Through analyzing the principle of predictive coding, a steganalysis method based on predictive coding is proposed. The predictive coding is based on the relativity between the neighboring pixels. On the contrary, ste...
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Through analyzing the principle of predictive coding, a steganalysis method based on predictive coding is proposed. The predictive coding is based on the relativity between the neighboring pixels. On the contrary, steganograph will destroy the relativity between the neighboring pixels. Through computing and analysing the predictive error of cover image and steg image, it is obtained that steganograph will increase the predictive error. So the predictive error can be used to detect steganograph. The experiment shows that this method has a better ability of steganalysis.
In this study, experiment set up for engineering students is proposed. The experiment using the proopsed set up consists of the model computer, internal parts for theoretical test, external parts for input/output exam...
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In this study, experiment set up for engineering students is proposed. The experiment using the proopsed set up consists of the model computer, internal parts for theoretical test, external parts for input/output examination and exclusive assembler. Students try to design a logic circuit and implement the logic circuit on FPGA (field programmable gate array) board using hardware description language (HDL). The test circuits of clock generator, ALU, accumulator, program counter, instruction register, memory, I/O ports, and controller were also designed.
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