Prior work about uncertainty visualization has been primarily focused on spatio-temporal or univariate data. Little research has been reported on exploring uncertainty of multidimensional data. Therefore, improved vis...
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Prior work about uncertainty visualization has been primarily focused on spatio-temporal or univariate data. Little research has been reported on exploring uncertainty of multidimensional data. Therefore, improved visualizations applying to parallel coordinate and star glyph will be discussed and utilized to visualize multidimensional uncertainty. Firstly, parallel coordinate will be modified through imposing visual variables and expanding traditional two-dimensional visualization to three-dimensional way. Then the concept of multi-view visualization will be put forward, because of the shortcoming that traditional parallel coordinate can not be mapped with the order of data and the problem of overlapping polylines. Meanwhile, four HCI technologies such as brushing, Linking, Zooming in/out, Hiding are imposed to the improved visualizations to help users to focus on what they find interesting and details of corresponding data with different uncertainty intervals. Eventually, MFC and OPENGL technology will be combined to construct an experimental platform to validate our proposed new ideas.
In the process of disaster situation assessment by using the fuzzy reasoning often requires us to specify fuzzy sets. However, it is unrealistic to provide them beforehand. In this paper, we propose a method to obtain...
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In the process of disaster situation assessment by using the fuzzy reasoning often requires us to specify fuzzy sets. However, it is unrealistic to provide them beforehand. In this paper, we propose a method to obtain the fuzzy sets and the membership functions by using the clustering techniques At first,we present a criteria to find the best number for clustering. Then we can classify each attribute into fuzzy sets and define their membership functions by using the cluster centers we have finded. Finally, we apply this method to a dataset of Civil Aviation Disaster Situation Assessment. The results demonstrated that it is a good way for the fuzzy partition and the membership function definitions.
In recent years,the GPU(graphics processing unit) technology has been highly *** the graphics card that initially limited to rendering,it has developed into a programmable parallel computing platform today and has evo...
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In recent years,the GPU(graphics processing unit) technology has been highly *** the graphics card that initially limited to rendering,it has developed into a programmable parallel computing platform today and has evolved into a high degree of parallelism,multithreaded,multicore processor with tremendous computational horsepower and very high memory *** the power of high intensity of GPU to solve some speed bottlenecks of algorithm will be a research of great *** the classic encrypt algorithm DES as an example,it uses the contrast experiment to show that the result by CUDA parallel computing get a high speed compared with the general program,showing the advantage of the parallel computing.
In high dynamic environment, due to the rapid relative movement between receiver and transmitter, the DOA (Direction of Arrival) of signals will change even between two consecutive snapshots. Thus, covariance-based DO...
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In high dynamic environment, due to the rapid relative movement between receiver and transmitter, the DOA (Direction of Arrival) of signals will change even between two consecutive snapshots. Thus, covariance-based DOA estimation algorithms are ineffective. Compressive sensing algorithms, as a kind of novel DOA estimation algorithms, are still effective with only one snapshot. At the same time, it is noted that the DOA changing is limited by relative moving speed and distance between receiver and transmitter. In this paper, a DOA tracking algorithm based on weighted L1 minimization is proposed which utilizing the DOA changing scope between two consecutive snapshots as a prior to improve the tracking performance. Different from other multiple snapshots compressive sensing algorithms which assumed fixed DOA among multiple consecutive snapshots, the proposed algorithm takes into account the DOA changing among different snapshots. The simulation results demonstrate the advantages of the proposed algorithm.
In this paper,the development and construction of hub airport with hub-and-spoke system as the starting point to analyze the operating conditions of flight bank in domestic and international typical hub airports,and i...
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In this paper,the development and construction of hub airport with hub-and-spoke system as the starting point to analyze the operating conditions of flight bank in domestic and international typical hub airports,and indicate the importance of improving efficiency of flight schedules by the use of flight ***,this paper expatiates on the conception and operating features of flight bank,puts forward the construct process around several important aspects including quantity definition,time distribution and configuration,and then makes time to optimize the time distribution and design the structure *** has great guiding significance for reasonable designation and operation of flight bank to advance the operation efficiency of large hub airports with hub-and-spoke system.
With the rapid increase of websites and internet users,the traditional search engine will face great challenge in the real-time search,response speed and mass storage *** cloud computing with two major advantages in m...
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With the rapid increase of websites and internet users,the traditional search engine will face great challenge in the real-time search,response speed and mass storage *** cloud computing with two major advantages in massive data processing and mass data storage,so the search engine deployed in the cloud can solve these *** analyzing the open-source cloud computing system Hadoop,cloud platform search engine model is constructed and search engine algorithm is optimized to improve the overall performance of search engines.
Moving object detection is the basis for reliable high level processing such as object tracking and action recognition. Shadow verification processes are very important to ensure integrality of extracted moving object...
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This paper presents a novel speckle reduction algorithm based on sparse representation and structure characteristics of PolSAR image. First, each pixel in original image is classified into bright point or line targets...
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ISBN:
(纸本)9781479928941
This paper presents a novel speckle reduction algorithm based on sparse representation and structure characteristics of PolSAR image. First, each pixel in original image is classified into bright point or line targets, dark point or line targets and others to form a classification map. Second, sparse decomposition and reconstruction is performed on PolSAR image by OMP and K-SVD methods to filter speckle. Finally, the blurred point and line targets in filtered image are enhanced with the classification map. Experimental results with the data of Hayward area from AIRSAR system show that the proposed method is effective both on speckle reduction and scattering characteristics preservation.
Flight delay is a very important issue in the civil aviation ***,the prediction of flight delay is particularly *** the characteristics of airport flight operation,this paper presents a method which is on the base of ...
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Flight delay is a very important issue in the civil aviation ***,the prediction of flight delay is particularly *** the characteristics of airport flight operation,this paper presents a method which is on the base of the danger signal for the airdrome flight antigen *** method draw lessons from danger model *** combines the danger model with immune *** on this,we build an airport flight delay immune forecasting *** result shows that the model can accurately forecast the number of flight delay in the next period.
To improve the efficiency of finger-vein recognition system over a large database, this paper proposed a level-based framework for automatically categorizing finger-vein images. The proposed framework consists of two ...
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