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The speed of the target can be estimated by the sound pressure cross-correlation of the line spectrum of the moving target at different time intervals. However, a slight deviation of the line spectrum has a significant influence on the estimated result. In this paper this phenomenon is analyzed from the theory, then the speed of the target is estimated when the line spectrum is biased. Experimental...
The smart substation is an important part of smart grid. By transmitting GOOSE (Generic Object Oriented Substation Event) and MMS (Manufacturing Message Specification) message among devices, the smart substation can realize the functions including, protection, control, alarm etc. Currently available smart substation secondary system's operation and maintenance analysis doesn't take account of the...
With the increasing coupling of secondary system components in smart substation, the operation management becomes more and more difficult. This paper proposes a graphical display approach of secondary functional components based on “information-event-function” logics. The displayed layout as well as connection relationship, which is accomplished through automatic graphing, clearly describes the logical...
For brain function study, it is very important to assess the state of different attention conditions. In this paper, we study a cross-correlation between different attention electroencephalograph (EEG) signals by detrended cross-correlation analysis (DCCA). We use the method to study attention a wave EEG. And, we found that is possible to discriminate the cross-correlation between the meditation state...
In this paper, we proposed a novel optical encryption and decryption method of gray image based on the Fourier computer-generated hologram (CGH) and logical modulation. Since the encryption method using the CGH or the logical modulation alone has a shortness of low security, the proposed novel encryption combines the two methods together. In our encryption processing, the hologram, which is gotten...
In this paper, a novel encryption and decryption method for color images based on the Hadamard transform (HT) and logical modulation has been proposed. Firstly, considering security and efficiency, together, our cryptosystem combined with image compression can reduce encryption time and promote real-time secure image transmission and storage. Then the compressed image is encrypted by logical modulation...
In this paper, we propose a method to analyze epileptic electroencephalogram based on time series that is transformed from improved k-nearest neighbor network. The study of complex networks has become a hot research of electroencephalogram signal. Electroencephalogram time series generated by the network keeps node information of network, so researching the time series from the network can also achieve...
In view of the shortages of Price forecast for power device, a new forecast model GPCR was proposed in this paper. By analyzing the main problems in the current procurement of Power Grid Corp, this paper uses grey relational analysis (GRA) and principal component regression (PCR) to forecast the price of power device. In the experiments, we prove that the proposed method is effective, and show the...
The growth of digital data is tremendous. Any aspect of life and matter is being recorded and stored on cheap disks, either in the cloud, in businesses, or in research labs. We can now afford to explore very complex relationships with many variables playing a part. But for this we need powerful tools that allow us to be creative, to sculpt this intricate insight formulated as models from the raw block...
Beichen district of Tianjin, located in the important node of Beijing-Tianjin golden corridor and high-tech industry area of Jingjintang region, has strong industrial foundations, while it is still faced with the problems that traditional industries account for high proportion of the industrial structure, inefficient use of industrial land, lack of enterprise innovation ability and shortage of resources,...
Sparse unmixing is based on the assumption that each mixed pixel in the hyperspectral image can be expressed in the form of linear combination of a number of pure spectral signatures that are known in advance. Despite the success of sparse unmixing based on the L0 or L1 regularizer, the limitation of these approach focuses on analyzing the hyperspectral data without incorporating spatial structure...
Nowadays, users' online comments have become the most important access to information. Thus it becomes more and more necessary for us to judge and identify those helpful online comments. With analysis on the value of online comment, the clustering degree of online comment, the nature of online comment and the credibility of online commentator, this article studies the main influence factors of the...
In this paper, an underwater chaos-based DS-CDMA system is proposed. This system adopts a novel spreading sequence called chaotic phase modulation (CPM) sequence. Comparing with conventional pseudo-noise (PN) sequences, CPM sequence possesses series of advantages, such as higher security, much more quantity available and smaller cross-correlation coefficient, etc. The bit error rate (BER) is compared...
Direct-sequence spread spectrum (DSSS) is a candidate technique for long range acoustic communications (LRAC) in deep water. However, its data rate is quite low. To achieve a higher data rate, M-ary parallel combinatory communication (MPCC) scheme is adopted in this paper. The major obstacle encountered for LRAC is extended multipath propagation, which would cause severe inter-symbol interference...
In this paper, the channel capacity of a Multiple Input Multiple Output (MIMO) broadcast system is investigated under correlated fading environment where there exists a transmitter , a legitimate receiver and an eavesdrop, each node equipped with multiple antennas. We derive the secret capacity and its upper bound of the MIMO broadcast channel in detail by using the Information theory and random matrices...
Defects in every software must be handled properly, and the number of defects directly reflects the quality of a software. In recent years, researchers have applied data mining and machine learning methods to predicting software defects. However, in their studies, the method in which the machine learning models are directly adopted may not be precise enough. Optimizing the machine learning models...
This paper presents a new method on generating realistic human animation of various styles with given step constraints and a specific skeleton. Given a set of normal walking data captured from different subjects, a hierarchical geostatistical model is automatically learned to encode variety of walking styles by representing human body as a hierarchy of joint groups. For each child hierarchy level,...
Abstract-The signal-to-noise ratio (SNR) and spatial resolution are conflicting factors in conventional Brillouin optical time domain reflectometer (BOTDR) system. Golay complementary sequence with good autocorrelation properties, can be used as probe pulse, in order to achieve a higher SNR without compromising the spatial resolution of the system. This paper discusses the composition method of Golay...
Information about primary user (PU) location is crucial in enabling several key capabilities in cognitive radio networks, including improved spatio-temporal sensing, intelligent location-aware routing, as well as aiding spectrum policy enforcement. The weighted centroid localization (WCL) scheme uses only the received signal strength information, which makes it simple and robust to variations in the...
Traffic prediction is of significant importance for telecommunication network planning and network optimization. In this paper, the traffic series from a certain mobile network in Heilongjiang province in China is studied. The characteristics in respect of both trend and periodicity are explored with autocorrelation function. Based on the characteristics exhibited in the traffic series, multiplicative...
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