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Shannon entropy is effective uncertainty measurement criterion for stochastic system. In this paper, adaptive fusion particle filter is proposed for visual tracking by introduced Shannon entropy in particle filter framework. Firstly, the particle filter, which is considered as the process of particles assimilating negative entropy to reduce uncertainty, is surveyed from viewpoint of information theory...
Virtual Science and Technology Museum (VSTM) is a virtual 3D walkthrough system which combines virtual reality with computer networks. In this paper, from the perspective of interaction design, according to user-centered principle, we first carry out a system architecture analysis for Virtual Walkthrough System, set down the content of interaction design and design goals; then, with the example of...
According to literature review and a number of market research, there is an analysis about the characteristics of the domestic fragrance market. And then through the research on the consumption habits and attitudes, the result of qualitative and quantitative analysis based on the Logistic Model concludes the impact of the factors in four aspects on the willingness of purchasing perfume. According...
Text clustering is an important task of natural language processing and is widely applicable in areas such as information retrieval and web mining. The representation of document and the clustering algorithm are the key issues of text clustering. This paper discusses vector space model(VSM)-based clustering algorithms. This paper reviewed the text clustering algorithm.
In the online dial-a-ride problem (ODARP) with time windows, objects are to be transported between points in a metric space. Transportation requests are released over time, specifying the objects to be transported and the corresponding source and destination. One serve travels in the metric space at constant unit speed, picking up the objects at their sources and drops them at their destinations....
The text puts forward improved fuzzy relation composition: weighted fuzzy relation composition, then discusses and analyses its application in fuzzy synthetic evaluation.
Application layer multicast (ALM) has resolved the issue of deployment, but effectiveness inferiors to IP multicast. In this paper, the research is focused upon the influence on the communication efficiency of the multicast tree using three kinds of node selection strategy, which are based on min-delay, max-bandwidth, and nearest network topology. This paper presents NNT, a distributed spanning tree...
This paper presents a method for news video story segmentation, which fuses multi-feature including audio and visual. At first, this paper detects the anchorperson shot for news video and determines the beginning of news story, and then detects topic caption between anchorperson shots. In the next step, silence clips in news video are detected using short-time energy and short-time average zero-crossing...
With the purpose to reduce the surplus information on decision table and extract the determinative rules, an autonomous clustering algorithm based on graded datum subtraction (ACGDS) is proposed to reduce the data area and an attribute reduction algorithm based on ant colony optimization (ARACO) is presented to reduce the surplus attributes. ACGDS uses the quick sort method and subtraction to every...
Statistical modeling of rainfall induced temporal variations in a foliage channel at VHF frequency is performed in this paper. With the help of the Akaike weight omegaj, Weibull and Rayleigh functions are identified as the two suitable models to describe the tap amplitude variations. The Weibull function is then used as the channel model to analyze the rainfall induced temporal variations in a foliage...
This paper presents a novel method for highlight extraction in sports video, which fuses multi-modal features including audio and visual. At first, we detect slow-motion replay based on logo, and then detect audience cheers based on pitch frequency and short-time energy. In the next step, we fuse audio-visual features to detect highlight events through using a special "and" (otimes) operation...
Texts presented in video can provide important semantic information. In this paper, we propose an algorithm to detect texts from news videos. First, SPAC (spatial autocorrelation method) is used to determine the degree of texture rough-detail of video frames and determine candidate text regions based on texture rough-detail. Then Sobel operator is used to extract edges of candidate text regions, and...
Now, most NDT methods (electromagnetism testing, eddy current inspecting, ultrasonic testing and so on) of composite have own their merits or defects and range of application. This paper will introduce an intelligent coin-tap test system of civil aircraft composite structure. With the character of high automatic facility, prompt and accuracy, this system can be employed in production and maintenance...
Patent mapping, which is a series of mapping process with patent information, especially those unstructured information, such as patent claims, details and patent illustrations, is an important tool of patent analysis. Clustering is a popular method to mining the knowledge hidden in patents and provides abundant information to the visualization and interaction of patent mapping. A method of projecting...
Toward the limitations of existing MICE systems, a solution of interactive MICE systems is proposed. This paper explains the framework and the coordination mechanisms of the interactive MICE systems, then analyses the key technologies applied to the MICE systems, including data mining, humanistic interactive, 3D data transmit, and finally introduces the development and implementation of our MICE demo...
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