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The research and application of projection interactive system based on different application scenarios has been a great development. In order to achieve natural and friendly interaction with the scene and to improve user experience, a camera-projection interactive system based on binocular vision is designed and implemented in this paper. Firstly, a foreground segmentation for moving objects is achieved...
Flash deal applications, which offer significant benefits (e.g., discount) to subscribers within a short period of time, are becoming increasingly prevalent. Motivated by such transient profit, flash crowds of subscribers request services simultaneously. Considering the unique business logic, a hybrid cloud with soft guarantee, i.e., bounding the response time of delay-tolerant requests, has great...
Particle Swarm Optimization (PSO) based Fuzzy c-means (FCM) methods typically use random initialization, and could incur substantial computation costs in processing big data, although PSO facilitates the global optimization, based on our previous work [1]. This paper further developed and evaluated our data density-pattern based algorithm to guide initialization and to achieve better computational...
This paper proposed a secure and fast image encryption algorithm which is composed of permutation and substitution of pixels. In order to eliminate the relation between adjacent pixels in the image sufficiently, firstly, the sequence which derives from Logistic map is sorted as an ascending order, and the transformation function of element's index can be obtained in this process. Secondly, perform...
Dimensionality reduction is indispensable for high dimensional data classification. So in this paper, a novel supervised method is developed to reduce dimensions of the original data, which is named feature space distance metric learning (FSDML). Instead of distances between any two points, distances between any two feature spaces are involved in the proposed method. Besides feature space distances(FSD)...
In this paper, we study the curvature-constrained path planning problem for AUV docking in stationary obstacle environment. Expanded obstacle circles are used to redefine the polygonal obstacles, thus the curvature constraint is incorporated into the path planning algorithm. Unlike the existing algorithms that try to avoid the obstacles when the planning path collides with them, the novel algorithm...
A piecewise and bi-recursive algorithm for computing high-order Krawtchouk moments is proposed in this paper. The algorithm firstly puts forward a bi-recursive method to simplify the computation of Krawtchouk polynomials, and then the process of iteration is separated into several sections to limit iterative times of transmission error. Several experiments are carried out to examine the algorithm...
With the development of digital cable interactive business and the diversification of the customers' demand, grouping TV programmes based on preferences of users effectively is vital for market segmentation and differentiation. The study summarizes the main principle and characteristic of clustering algorithm, and uses K-Means algorithm to show TV programmes preference grouping based on 52392 subscribers...
With the rapid development of Internet and Web 2.0, online social networks, such as Facebook, Twitter, LinkedIn, have become valuable sources for public opinion mining and sentiment analysis. Millions of users are sharing their views and discussing current issues through social media every day. Microblog, as a convenient and easily access platform, also attracts more and more people to express their...
Betweenness centrality is a metric to measure the relative importance of vertices within a graph. The computation of betweenness centrality is based on shortest paths which requires O(n+m) space and O(mn) and O(nm+n2 log n) time on unweighted and weighted graphs, respectively. It is time-consuming to deal with large-scale graphs, which motivates us resort to distributed computing and parallel algorithms...
To increase the precision in recommendation, a heuristic recommendation method based on contextual social network is proposed. A contextual social network is constructed based on basic social network, including contextual information such as the trust relationship, user role, user profile and user preference. A heuristic method combined with collaborative filtering is introduced for recommendation...
With the development of Internet, online social networks and websites generate a large amount of data. At the same time, several distributed systems, represented by Hadoop, has been proposed to handle mass data. These systems provide both efficient and convenient way to construct different kinds of algorithms. Community detection, a traditional research area, is now facing the challenge of Big Data...
With the proliferation of smartphones, participatory sensing using smartphones provides unprecedented opportunities for collecting enormous sensing data. There are two crucial requirements in participatory sensing, fair task allocation and energy efficiency, which are particularly challenging given high combinatorial complexity, tradeoff between energy efficiency and fairness, and dynamic and unpredictable...
With an abundance of computing resources, cloud computing systems have been widely used to elastically offload the execution of computation-intensive applications on mobile devices, leading to performance gains and better power efficiency. However, existing works have so far focused on one application only, and multiple applications are not coordinated when sending their offloading requests to the...
There are increasing interests on mobile opportunistic networks which have promising applications. Constructing a mobile backbone can effectively improve the packet delivery performance of a mobile opportunistic network by excluding poor relay nodes and reducing packet collisions. However, it is highly challenging to construct an effective mobile backbone because of the absence of the quantitative...
With the explosion development of multimedia information on the Internet and online sharing community, social network and Community multimedia data have received plenty of attention. In order to analyze and mining the structure and characteristics of online network communities with their large number of multimedia data automatically, we look into community photos as an basic data source for community...
The sparse signal recovery has been the subject of extensive research in several different communities. This paper analyzes the performance of orthogonal matching pursuit (OMP) algorithm in recovering magnitude decaying sparse signal in compressive sensing. A concept of Peak Signal Interference Ratio (PSIR) is defined which relates to the identification of atoms in OMP algorithm. Moreover, the relationship...
Image interpolation is an important basic digital image processing technology. In order to make image identify more easily, this paper did further research and improvement of the interpolation algorithm based on edge detection and interpolation algorithm based on threshold control.
As a statistical programming language for data analysis with a powerful graphics toolkit, R has been widely used in mathematical computing, biology simulation and medicine research. For large-scale computing such as drug discovery and protein folding, R is not good enough since it usually runs on a desktop computer. The situation gets worse when R runs on a single machine, while other computing is...
Modelica language is been developed to model complex product systems. However, Modelica Models usually are used to simulate the performance not optimize. Computational design methods are very important methods in design process of complex product systems, which is not included in Modelica based tool. In the paper, computational design method integrating design optimization and probabilistic analysis...
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