A method for measuring focal length based on Talbot effect is put forward, which suits determining focal length of long-focus lens. The variation of Moiré fringes occurs after typical phase object of measuring le...
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Object tracking algorithm using modified Particle filter in low frame rate(LFR) video is proposed in this paper,which the object moving significantly and randomly between consecutive frames in the low frame rate ***,P...
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Object tracking algorithm using modified Particle filter in low frame rate(LFR) video is proposed in this paper,which the object moving significantly and randomly between consecutive frames in the low frame rate ***,Particle filtering use motion transitions to model the movement of the ***,in object tracking with low frame rate sequences,it is very difficult to model significant random jumps of *** key notion of our solution is that using the object detection and extraction to locate the tracked object,while not using the dynamical *** propagate the sample set around the detected regions,which the samples are assumed to be uniformly distributed in the neighborhoods of the detected *** is similar to the general particle filter to propagate *** we compute the likelihood between the target model and the candidate regions,which are based on color histogram *** extensive experiments show that the proposed algorithm performs robustly in a large variety of tracking scenarios.
Failure criterion of electromagnetic flowmeter is fixed in this paper. The main points in after-sale services records and the process of collecting field failure data are also proposed. And then, it is found that the ...
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Failure criterion of electromagnetic flowmeter is fixed in this paper. The main points in after-sale services records and the process of collecting field failure data are also proposed. And then, it is found that the wrong use by consumer and the fault in main board are primary factors leading to failure of electromagnetic flowmeter by field failure data Statistics. Reasons and modes of failure led by wrong use are further analyzed. These analyses are bases to estimate life distribution and improve the reliability of electromagnetic flowmeter.
In this paper, the problem of the stability for a class of stochastic systems with time-varying delay is investigated. By dividing the delay interval into multiple segments and choosing different weighting matrices in...
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In this paper, the problem of the stability for a class of stochastic systems with time-varying delay is investigated. By dividing the delay interval into multiple segments and choosing different weighting matrices in the new LyapunovKrasovskii functional, the delay-dependent sufficient criterion is derived in terms of linear matrix inequalities(LMIs). Neither model transformations nor bounding techniques for cross terms is employed, so the derived criterion is less conservative than the most existing results. Meanwhile, the computational complexity of the obtained stability conditions is reduced because less variables are involved. A numerical example is given to show the application of the proposed method.
To establish suitable models to describe the behavior of biochemistry systems, a new modeling method was introduced, combining multiple objective ant colony optimization(MOACO) with the dynamic Epsilon-SVM. The hyper-...
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To establish suitable models to describe the behavior of biochemistry systems, a new modeling method was introduced, combining multiple objective ant colony optimization(MOACO) with the dynamic Epsilon-SVM. The hyper-parameters of Epsilon-SVM were automatically decided by using multiple objective ant colony optimization(MOACO). Each training sample used different error. The model for penicillin production's prediction was developed using the method with data collected from real plant in Matlab7.0. The model possesses strong capability of fitting and generalization. Experiments also show that the dynamic Epsilon-SVM is superior to the standard SVM modeling method. MOACO is very feasible and efficient too.
For monitoring burst events in a kind of reactive wireless sensor networks (WSNs), a novel scheme of dynamic clustering routing algorithm (DCRA) based on support degree is proposed. The new approach lets sensors decid...
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For monitoring burst events in a kind of reactive wireless sensor networks (WSNs), a novel scheme of dynamic clustering routing algorithm (DCRA) based on support degree is proposed. The new approach lets sensors decide whether become a clusterhead (CH) according to the support degree coming from neighbors. Unlike traditional distributed clustering algorithms, DCRA combines energy, load balancing and topology information together by defining an objective function based on support degree. Furthermore, the clusterhead aggregates data and transmits the result to base station (sink node) along multiple paths. The new algorithm is completely distributed and location-unaware. Simulation results show that DCRA has great potential in efficiently distributing energy consumption and extending the network lifetime.
Ground water level measurements are very important for a wide range of applications in geosciences, agriculture, environment monitoring and mining industry. Currently, reliable and automatic ground water level measure...
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Ground water level measurements are very important for a wide range of applications in geosciences, agriculture, environment monitoring and mining industry. Currently, reliable and automatic ground water level measurements have not been realized. This paper presents the simulation and design of a segmented resistance sensor for measuring ground water level. Based on this sensor design, we have developed an instrument that can automatically log the ground water level. Finite element simulations were performed to optimize the sensor design and to gain insight into its response. Experimental results in the lab and field have verified the usefulness of the sensor.
A novel intelligent fault diagnosis model for flue gas turbine based on EMD (Empirical mode decomposition) and VPRS (Variable precision rough set) theories, is proposed in order to solve the difficult problems of know...
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A novel intelligent fault diagnosis model for flue gas turbine based on EMD (Empirical mode decomposition) and VPRS (Variable precision rough set) theories, is proposed in order to solve the difficult problems of knowledge information acquisition and improve fault diagnosis accuracy in practice. This model combines EMD and VPRS techniques. First EMD signal processing technique is employed to excavate the underlying fault information from dynamic signals. The features that reflect the equipment operation conditions from the EMD analysis of the dynamic original vibration signals are extracted and the series of IMFs (intrinsic mode function) feature sets are obtained. Then the energy features of the calculated IMFs are using as the condition attributes of the knowledge acquisition decision table while the fault modes are using as the decision attributes respectively. The decision table is deal with through the attributes' reduction, attributes' value reduction and the rules' reduction based on VPRS theory. The system fault diagnosis rules are extracted on the condition that the model classification ability remains and the redundancy information is removed. The model is applied for the flue gas turbine diagnosis knowledge acquisition and fault diagnosis in Yanshan. The desired diagnosis effect is obtained via the fault diagnosis model based on EMD and VPRS. Moreover, the application result also validates the power and the practice of the model.
The ability to detect and recognise dangerous objects at a safe distance is a very important task in a number of defence, police and security applications. In this paper we look at ways of improving Infrared images th...
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-The dynamic performance quality of SCDCS (Safety Critical Distributed control System) is pertinent to its dependability. To achieve the prescribed dynamic performance, a performance index describing converged speed o...
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-The dynamic performance quality of SCDCS (Safety Critical Distributed control System) is pertinent to its dependability. To achieve the prescribed dynamic performance, a performance index describing converged speed of system states is established based on the model-building of SCDCS that is networked on its state feedback loop. Meanwhile, a sufficient condition, which can guarantee SCDCS to be asymptotically stable under prescribed performance constraints, is derived by employment of the Lyapunov theory and the matrix measurement. Based on the condition, an algorithm for obtaining maximum allowable transfer interval is presented. Results of simulation indicate that the design method is less conservative and can not only guarantees system asymptotically stable, but also make it have desired dynamic performance.
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