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Correlation Electromagnetic analysis (CEMA) has been effective in revealing the cryptographic key on cryptosystems. Random delay insertion (RDI) causes misalignments to prevent the action of these attacks in the time domain to avoid information leakage. In this paper, we first use the newly proposed time-frequency transformation Hirschman Optimal Transform (HOT) to transform the signal from the time...
Suitable controller is a significant part in speed governing system of gasoline engine. In this paper, an integral-separation fuzzy PID algorithm used in controller is proposed to enhance the static and dynamic characteristics of speed governing system. The designed controller in this paper, based on the mathematical model of speed governing system, was established by using MATLAB/Simulink as the...
IBIS-L ground based SAR is able to provide accurate and long-term measurements over relative large areas by combining of stepped frequency continuous wave, synthetic aperture radar and interferometric technique. To measure displacements of an open pit slope in Beizhan iron mine, a novel environmental correction method is presented to perform the atmospheric distortion correction of GB-InSAR. GB-InSAR...
Tremendous underground exploitation as subway tunneling, functional facilities excavation in inner-city environments caused potential damages to buildings and bridges over the construction zone. PSInSAR technique and high resolution SAR data provides a powerful tool for slightly surface deformation in recent years. Till now, it is time to use PSInSAR as an operational and mature technique for geodesy...
Using RADARSAT-2 satellite images from January 2012 to October 2015, this paper employ the PSInSAR(Permanent Scatterer InSAR) technique to acquire coastal lowland subsidence in Zhejiang province. In the Hangzhou Bay Region, the widely distributed silt deposition leads to the entire ground sinking slowly, with 10∼20mm/a in rate. Conversely, the ground subsidence distribution of the Eastern Coastal...
Nowadays there are more than 10 billion sensors in the Internet of Things. These sensors will produce a mass of historical data as time goes on. And these data are useful in data mining and may create great value for human. However, historical sensor data are hard to archive because they have the characteristics of mass, complexity, isomerism and dynamic nature. Therefore, how to archive historical...
In the isolated word speech recognition system, the extraction and matching of the characteristic parameters is the key link. This paper introduces a new feature parameter extracting methods on basis of Pulse Coupled Neural Network (PCNN) for the recognition system. By means of the visibility of speech spectrogram, the PCNN is used to extract the time series and entropy series from the spectrogram...
An intermittent control scheme is presented for consensus of the multi-agent system, in term of the pulse function, which is introduce to describe the constraints of the actuator. The proposed scheme is a general framework covering the impulsive control, and (zero-order hold) sampled control by choosing special functions as the pulse function. By using graph theory and the property of stochastic matrices,...
In this paper, a hybrid evolutionary algorithm (HEA) for flexible job shop scheduling (FJSP) to minimize makespan is developed, in which, a new crowed operator based on average hamming distance is proposed to maintain the population diversity. Different strategies for crossover and mutation operators are adopted. Moreover, a local search procedure based on critical path theory combined with preference...
the surface potential decay measurement of the blend polyethylene nanocomposites film containing the untreated and treated (trimethoxy (propyl)silane) nanosilica is conducted in this research for further studying how nanoparticles and moisture absorption affect the charge transport and electrical properties. The surface potential decay measurements were investigated over the negative corona charged...
Identifying reliable information from the information ocean is a natural talent of human being, which can be hardly formalized by machines. In this paper, we show how to measure the uncertainty of each sample in terms of their similarity. For applications under complex uncertainty, it is desirable that we provide a systematic way for users to identify what are reliable information. In our approach,...
In current datacenters, centers deliver resources for tenants to run various jobs with diverse requirements. Today's resource management can provide higher levels of scheduling options and supports certain QoS (Quality of Service) requirements. However in many references, exiting cloud resource management scheduling focus on the objective function to minimize the deadline time fall short in utility...
Since energy consumption of cutting period in CNC lathe is determined by many factors, it is very difficult to model its dynamics precisely only through mechanism modeling method. In this paper, a novel energy consumption model is presented based on Case-Based Reasoning (CBR). Firstly, redundant and incompatible data are cleared through data preprocessing; secondly, the attribute importance of condition...
In this paper, the piezoceramic actuators are used in fine steering mirror (FSM) for inter-satellite laser communication. To improve the control system performance and reduce the nonlinear hysteresis and creep of FSM, the characteristics of piezoelectric actuators is analyzed, and then an inverse model of feed-forward compensation and a feedback controller based on the Static Output Feedback (SOF)...
Object skeleton is a useful cue for object detection, complementary to the object contour, as it provides a structural representation to describe the relationship among object parts. While object skeleton extraction in natural images is a very challenging problem, as it requires the extractor to be able to capture both local and global image context to determine the intrinsic scale of each skeleton...
It is of great significance to study the method of diagnosing leakage of boiler steam and water pipe so as to improve safety and economy of the power plant. According to the characteristics of the power plant boiler, the model of diagnosing fault is established with the method of BP neural network optimized with genetic algorithm. On this basis, simulation experiments were carried out to diagnosing...
A handful of abnormal data exist in harmonic current monitoring data, affecting the accuracy of the harmonic source localization and harmonic contribution assessment. In this paper, the distribution model of harmonic current monitoring data is established using three-parameter Weibull distribution according to the statistical characteristics of the harmonic current data. The least squares method is...
This paper proposes a practical PI control strategy to realize minimum entropy tracking control for general nonlinear stochastic systems with non-Gaussian noises. As the extension of the minimum variance control for linear Gaussian systems, minimum entropy control aims at decreasing the uncertainties of nonlinear non-Gaussian systems. The whole control process is divided into some batches. Within...
This paper has proposed maximum power point tracking (MPPT) control for stand-alone solar power generation systems via the type-2 Takagi-Sugeno (T-S) fuzzy-model-based approach. In order to deal with the uncertainties in the modeling procedure, the type-2 T-S fuzzy technology is employed. To handle reducing the conservatism of LMI-based stability conditions for type-2 T-S fuzzy systems, stability...
A novel near-field measurement technique for predicting far-field monostatic RCS of microstrip antennas is studied. In the case that the height of the target is sufficiently small so that the far-field criterion is satisfied in the vertical direction, the theory and algorithm of near-field to far-field transformation for this measurement technique are derived. With the microstrip antenna as the target...
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