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Car-following decision-making is critical to complete driving mission for autonomous vehicles under complex and dynamic urban environment. The complex and dynamic information have a great influence on the autonomous vehicle's car-following decision. This paper proposes to use the Rough Set theory to abstract the car-following rules to support the decision-making of autonomous vehicles under the complex...
To deal with time-varying equations, a novel recurrent neural network, named varying-parameter convergentdifferential neural network (in short, VP-CDNN), is proposed, modeled and analyzed. It is designed by a matrix-valued error function and the design parameter is time-varying, which enables the VP-CDNN to have good convergence and robustness. For illustration and comparison, a scalar-valued error...
In the general way, routine eclipse prediction methods can only provide starting and ending time prediction. However it cannot give us accurate sate switch time prediction. It does not ensure satellites safety. This paper brings up a new GEO satellite energy switching time calculation algorithm in eclipse period. This method not only provides accurate eclipse starting and ending time predication,...
A novel machine learning algorithm named pruning support vector data description (PSVDD) is developed to classify the FFT-magnitude feature of complex high-resolution range profile (HRRP), motivated by the problem of radar automatic target recognition (RATR). The PSVDD algorithm not only inherits the advantage of LSSVM model, which owns low computational complexity with linear equality constraints...
Due to the global economic growth and the changes in people's living habits, sports is becoming more and more important in people's life. In the hot and humid environment of the sports, how to keep the wearer's clothes dry and cool is particularly significant. With the function of moisture absorption and quick drying, the anti-bacterial and odor-resistant seamless sports fabrics can provide a good...
Notations and techniques from discrete mathematics play an important role in computer science. In this paper, by applying the concatenation of some restricted lattice paths, we derive the combinatorial interpretations of several identities.
In this paper a new dynamic graph encoding scheme based on hybrid encoding between radix-k encoding enumeration, permutation graph coding and PPCT encoding enumeration is proposed for improving the low efficiency of PPCT dynamic graph encoding. In order to improve the efficiency of PPCT, the method that the pointer of circular linked list is used to encode the coefficients in radix-k encoding enumeration...
In order to improve the accuracy of environmental sound events recognition under non-stationary noise, a sound events recognition method based on time-frequency analysis was proposed. In this method, power spectrum of the signal was firstly output in the form of time-frequency diagram. Then, sum and difference histograms(SDH) was adopted to calculate texture features. Afterwards, the matching pursuit(MP)...
Mechanical Resonance commonly happens in servo system due to the elastic connection between transmission shafts. The Two-Mass Mathematical Model is established in order to explore the theoretical cause of mechanical resonance. After comparing several typical signals mostly used before, a novel excitation signal for the vibration test is proposed in this paper—the Pseudo-Random-Binary Sequences (PRBS)...
The chaotic system is very sensitive to the frequency of input weak signal, we select a fightable input signal as a standard base signal, then a harmonic weak signal are put in. We adjust the frequency of standard signal gradually, the motivation of chaotic critical state will change greatly, the numerical result prove that when the standard signal frequency equal to the frequency of harmonic weak...
VanDerPol oscillator behavior under the excitation of weak signal is researched in this paper, the methods of phase space reconstruction analysis can realized the chaotic model, it help us to figure out the parameters of chaotic system. We give ways of how to select the parameters of time delay value and embedding dimension in phase space reconstruction, we select the VanDerPol oscillator to analysis...
In biology and medicine research, detection and identification of cancer cells plays an essential role to further analysis of cell properties and developing new drugs experiments. However, owing to the adhesion among cells and great changes in morphology, it is a very challenging task to detect and locate the cells accurately, especially for the cells adhesion area. In this work, a deep detector for...
In the traditional discriminative object tracking methods, similar to the target, background is often taken mistakenly as a single negative class to train two-class classifiers despite including various objects with different distributions. A novel method based on one-class classifier is proposed for object tracking. It takes background as a collection of all other classes except the target. Object...
The transformation of raw image data into a full-color image involves a complex chain of computation, which is called the image processing pipeline. The possible orderings of individual operation and associated implementations that constitute the image processing chain design is over-constrained. Before, it's processed by the PC and obeys the rule that image quality must be maximized while computing...
A coarse-to-fine horizon detection method based on between-class variance is present. Firstly, the original image is resized to a smaller one and plenty of straight lines are selected acoording to two line parameters which are distance to image center and inclination angle in the resized image. A criterion based on the between-class variance is set up for determining the best straight line which is...
It is challenging to evaluate the degradation of equipment using data-driven approach, especially for those nonlinear industrial systems working in dynamic environment. In this work, we propose a collaborative contextual anomaly detection method that clusters similar devices with same context into collaborative groups, builds degradation profile for each device, then detects anomalies by comparing...
Terrorist organizations are not completely independent. However, they frequently interact with each other. Detecting the terrorist organizations cooperation behavior is quite helpful to develop effective counter-terrorism strategy. Computational intelligence techniques used to design effective data analysis method offer a way for monitoring covert terrorism activities. In this paper, we propose a...
The widespread popularity of smart phones with built-in sensor technology makes our life more convenient. In this paper, a new method based on smart phone is proposed to recognize the behavior of users. Firstly, the intelligent mobile phone is used to realize the behavior data collection, then the High Pass Filtering Algorithm and the Mean Filter Algorithm are combined to pre-process of the collected...
When adopting traditional automatic summarization, it emerged information redundancy and incomplete content covering, but currently the mainstream automatic summarization turned towards to extracting words. This paper studied the effectiveness of this issue about event elements on the size of event. Firstly obtaining the event elements through the tagged CEC corpus, then building an event elements...
Texture analysis is an important research content in pattern recognition and computer vision, and we can get important information from the image through it. As an important method in feature extraction and classification, texture analysis has a very wide range of applications in the field of scientific research and engineering technology. In order to solve the problem of image classification, feature...
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