With aim to master early deformation stages and motion laws of landslide, the raw displacement data of landslide are very important for the landslide researchers and environmental scientists. With the recent advances ...
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With aim to master early deformation stages and motion laws of landslide, the raw displacement data of landslide are very important for the landslide researchers and environmental scientists. With the recent advances of Global Position System (GPS) and computer science, the differential GPS technology now can be used for the remote displacement observation of landslide. Therefore, the paper developed a landslide displacement remote observation system based on differential GPS technology to get the raw displacement data continually. The system is divided into hardware and software functional segments. A real landslide in southwest of China was monitored for several months through observation using this GPS-based system placed around and the observed results are presented in this paper. The practical application shows that this system has such advantages as being highly-precise, nearly real-time, remote, continuous and automatic.
Analog electronic circuits are an integral part of many industrial systems. Failure in such analog circuits during field operation can have severe economic implications. The presence of an expert system that can provi...
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ISBN:
(纸本)9781936263059
Analog electronic circuits are an integral part of many industrial systems. Failure in such analog circuits during field operation can have severe economic implications. The presence of an expert system that can provide advance warnings on circuit failures can minimize the downtime and improve the reliability of electrical systems. Through successive refinement of circuit's response to a sweep signal, features are extracted for fault prognosis. From the extracted features, a fault indicator is developed. An empirical model is developed based on the degradation trend exhibited by the fault indicator. Particle filtering approach is used for model adaptation and remaining useful performance estimation. This framework is completely automated and has the merit of implementation simplicity. The proposed framework is demonstrated on two analog filter circuits.
In order to improve space positioning accuracy of the Agile Wrist consisting of a modified spherical parallel manipulator, which will influence the result of the Collisions experiment in a robotic mechanical testbed d...
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In order to improve space positioning accuracy of the Agile Wrist consisting of a modified spherical parallel manipulator, which will influence the result of the Collisions experiment in a robotic mechanical testbed directly, this paper explores the motion control of Agile Wrist. Based on analysis an input - output (I/O) equation of spherical four-bar linkages for forward-displacement of spherical parallel robots, the inverse kinematics derivation is reported here to find the active-joint variables for each possible position and orientation (pose) of the mobile plate, as well as the singularity exist and defines what may be generalized as the workspace boundary. Meanwhile the kinematics simulation by using simulink S-Function combined with Q8 controller was carried out. The results showed that the Kinematics analysis and Control Design of Agile Wrist were correct. The modified spherical parallel manipulator can meet with the demands of Collisions experiment in the robotic mechanical testbed.
<正>Most models of respiratory rhythmogenesis are built based on H-H principle,but without any substantive *** network is a widely used model to study artificial intelligent *** work is carried out to establish a ne...
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<正>Most models of respiratory rhythmogenesis are built based on H-H principle,but without any substantive *** network is a widely used model to study artificial intelligent *** work is carried out to establish a new model of generation of respiratory rhythm with combination of the 2 models. Five basic respiratory neurons models were built according to H-H *** data from them were used as input vectors of BP *** discharge was considered as output *** weights array was obtained by using *** platform was designed with the weights *** chose 5-X-1 BP structure by using reported data about respiratory network models and got the best number(8) of hidden layer *** event of a respiratory cycle was divided successively into 100 sets of data to test the Train,Validation and Test on ratio of 70:15:15,*** R of Train,Validation and Test is bigger than *** can be concluded that H-H style and BP network can be combined as a new method to build a highly feasible respiratory neural network model.
The fusion of multimodal brain images for a given clinical application is importance. A PET image indicates brain function but has low spatial resolution, while an MRI image shows brain tissue anatomy and contains no ...
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In this paper, we investigate the effect of unequal injection rates on totally asymmetric simple exclusion processes (TASEPs) with a 2-input 1-output junction and parallel update. A mean-field approach is developed ...
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In this paper, we investigate the effect of unequal injection rates on totally asymmetric simple exclusion processes (TASEPs) with a 2-input 1-output junction and parallel update. A mean-field approach is developed to deal with the junction that connects two sub-chains and the single main chain. We obtain the stationary particle currents, density profiles and phase diagrams. Interestingly, we find that the number of stationary-state phases is changeable depending on the value of a1 (a1 is the injection rate on the first sub-chain). When a1 〉 1/3, there are seven stationary-state phases in the system, however when a1 〈 1/3, only six stationary-state phases exist in the system. The theoretical calculations are shown to be in agreement with Monte Carlo simulations.
This paper mainly deals with the problem of detecting a target against spherically invariant random vector (SIRV) clutter in the presence of steering vector mismatches. Assuming that the mismatch of the steering vecto...
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This paper mainly deals with the problem of detecting a target against spherically invariant random vector (SIRV) clutter in the presence of steering vector mismatches. Assuming that the mismatch of the steering vector satisfies the conic constraint, the generalized likelihood ratio test (GLRT) is devised, and the geometry description is proposed for the derived solution. Additionally, the fully adaptive GLRT is derived by replacing the exact covariance with fixed point estimate (FPE). Finally, several numerical results are provided and discussed.
The Daya Bay Reactor Neutrino Experiment expects to determine the neutrino mixing angle θ 13 with a sensitivity of sin 2(2θ 13)=0.01 in a three-year run. Eight three-zone cylindrical Anti-neutrino Detector (AD) modu...
This essay presents the DSP + FPGA structure based high-performance image processing system. It aims at solving the overtime-processing problem brought by the increasing complexity of images through the cache-structur...
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Self-localization in unknown environment is one of the most fundamental tasks for mobile robot. In this paper, a novel localization method for mobile robot working in unknown environment is presented by using scale-in...
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Self-localization in unknown environment is one of the most fundamental tasks for mobile robot. In this paper, a novel localization method for mobile robot working in unknown environment is presented by using scale-invariant natural landmarks. Firstly, corner detector was used to detect the interesting points and get the natural land marks, and then a 3D map of the environment was built. Lastly, the mobile robot localized itself by matching the landmarks in the current frame to a database map. Experiments show that global localization and navigation can be achieved in real time.
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