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FlexRay has been taken as the next generation protocol of automotive network and has been applied to the safety critical control systems in vehicle. Frame packing is one of key problems in the design of vehicular communication because it directly relates to communication reliability and network utilization. In this paper, the transmission reliability and the slot utilization are defined for FlexRay...
The liver shapes are complex, pathological changes severely affect the liver shapes. In order to realize the segmentation of the boundary of liver in CT images, the liver shapes dictionary is built, the input CT images are sparse represented by the angular points in gold standard liver boundary dictionary, and the best matches is selected to be the final segmentation result. Experimental results show...
In recent years, aviation safety is always under the strong spotlight. According to the statistics, pilot errors account for nearly 60 percent causes of fatal accidents. How to reduce the impact of human factor has become an important issue. After analyzing the problems existing in current Air Traffic Control System, this paper proposes a logic system called STDERL by adding the concept of spatio-temporal...
With the rapid development of internet and software technology, SaaS model has become the wise choice of more and more enterprises. As an on-demand software, how to adaptively configure the SaaS model according to the customized business processes becomes an important issue for both industrial and academics. To address this issue, this paper proposes a layer based configuration architecture. In the...
In this paper, A new threshold secret sharing scheme is proposed. Based on one-dimensional memory cellular automata, a big secret is decomposed to some sub-secrets using the Chinese remainder theorem. These sub-secrets in the form of binary texts are considered as one of the k initial configurations of the memory cellular automata of k order and then secret shares are evolved. The function of backward...
Since the improvement of high efficient video coding (HEVC) compression ratio is yet not studied completely, a new segmentation-based image compression coding frame is realized in this paper. The compression performance of this coding frame is further improved by taking the coding standard HEVC as a basic part of image compression, using the characteristics of HEVC intra coding and inter coding as...
Aiming at the information overload caused by rich resources of Broadcast Television programs, this paper puts forward Broadcast Television Programs Recommendation Technology based on user clustering. According to user rating data and programs broadcasting data, we cluster users by the improved K-MEANS algorithm, divide the users with similar viewing preference into the same community groups, and generate...
This paper discussed the characteristics and influencing factors of urban design competitiveness based on research of urban competitiveness and design industry. It initially constructed an evaluation index system which consisted of three levels including 3 first class indexes, 8 second class indexes and 25 third class indexes. It laid a theoretical foundation for verification and evaluation of sample...
This paper proposes a wind turbine dynamic state prediction method using similarity matching in historical data. Because similarity matching is inefficient for large-scale multivariate time series (MTS) data, we use feature selection method based on random forest to determine main attributes and remove irrelevant attributes. Then, by using the principal component analysis, the dimension of MTS data...
As one of the machine learning methods that has been widely used in recent years, SVM can be applied to pattern classification and nonlinear regression. This paper proposes the basic modeling process by using SVM, and introduces the processing technique of dimension reduction by using MATLAB and principal component analysis method, and provides the process of classification forecasting by using SVM...
In this paper, we present a real-time face recognition system for home security service robot which can be applied to recognize the person's face in front and give a warning when the identity of the person is a stranger. Considering the complexity of the actual situation, there might be some errors causing by the following factors like the angle, the size, the environment and the illumination of the...
It is important to think about which is the best way to show a brand on the business gifts in order to achieve the best publicity effect. This study provides a theoretical basis for the design method of the corporate brand on the business gifts by researching the influencing factors of brand prominence and brand preference in different usage scenarios, building the model of study method and applying...
Group detection is of fundamental importance in many social network applications. Although considerable methods have been presented to address the task, the objective of seeking a good trade-off between effectiveness and efficiency remains challenging. This paper proposes a method named as R_Acut to meet the challenging objective. R_Acut adopts random walk-based heuristic and Average cut (Acut) to...
Considering the deficiencies of low accuracy and poor real-time capability in traditional UAV target location, a method of high precision localization of UAV image sequences based on DEM matching is proposed. By calculating the DEM data of aviation reconnaissance area in advance, the image sequences from UAV television reconnaissance are corrected, then by matching the DEM data again, the target location...
In this paper, we established a rating charge model of transfer tax (RCTT) to solve transboundary air pollution control problem of China. Firstly, by using the bi-level nonlinear programming model. In this model, the leader is China's central government and the followers consist of China's 31 provinces. The leader aims to decrease the nation's total pollutant control costs, whereas each province attempts...
It becomes crucial to adapt to the culture for design. The paper applied the ISM model to explore the mutual relationship among cultural elements of product and found that the cultural elements of product have influence on each other in the outer tangible level, mid behavioral level and inner intangible level. What's more, the result illustrated that the designer should firstly consider the effective...
Security of electric power devices is one of basic issues for strong smart power-grid. Benefiting from outstanding feature of SF6 gas, SF6 has been widely used in power-grid system. Rapid development of SF6 gas monitoring technologies has brought important method to detect GIS devices state. However, deep research is still in need to deal with the relation between SF6 gas detection result and device...
Aiming at the problem of high precision trajectory prediction in air traffic control automation system, a new method based on improved sliding window polynomial fitting prediction is proposed. This method improves the traditional sliding window polynomial fitting method and selects an appropriate historical data group for every predicted value, which provides every prediction with a suitable polynomial...
In this paper we present a sequential sampling strategy for multiresponse radial basis function. Different from traditional methods which construct a single metamodel for each scalar response independently, the proposed approach takes multiple responses simultaneously. The product of minimum distance from other current sampling sites and curvature of the site on the response surface is introduced...
Deep reinforcement learning has received considerable attention after the outstanding performance of AlphaGo. In this paper, we propose a new control strategy of self-driving vehicles using the deep reinforcement learning model, in which learning with an experience of professional driver and a Q-learning algorithm with filtered experience replay are proposed. Experimental results demonstrate that...
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