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Organizations often share business data with third-parties to perform data analytics. However, the business data may contain a lot of customers' private information. One major concern of these organizations is thus to ensure such private information is properly used. In this paper, we present PSpec, a formal language for specifying data usage restrictions in distributed data analytics. Compared with...
This paper considers the problem of Collision Free Force Closure Workspace (CFFCW) determination for Reconfigurable Planar Cable-Driven Parallel Robots (RPCDPRs). The cluttered obstacles in environment and the radiate cable structure make this problem highly nontrivial. Firstly, the simplified model of general RPCDPR that with cluttered environment is proposed. Then, the critical support lines of...
The outlier detection problem for dynamic systems is formulated as a matrix decomposition problem with low rank and sparse matrices, and further recast as a semidefinite programming problem. A fast algorithm is presented to solve the resulting problem while keeping the solution matrix structure and it can greatly reduce the computational cost over the standard interior-point method. The computational...
A low-complexity algorithm for calculation of LMMSE filter coefficients for Generalized Frequency Division Multiplexing (GFDM) in a fading multipath environment is derived. The simplification is based on the block circularity of the involved matrices. The proposal reduces complexity from cubic to squared order. The proposed approach can be generalized to other waveforms with circular pulse shaping.
In order to efficiently recognize the partially ordered or interleaved, multiple plans, treat the partial observability of the domains and exclude misleading actions, in this paper, we designed a new plan recognition algorithm based on extending and pruning the Explanation Graph and then implemented it using the VC++ programming language. The results of test experiment indicate that the algorithm...
Essential difference between topic detection and text clustering is distribution of news corpus and time characteristics of news corpus. So we should study topic detection according to the news corpus, and it is necessary for news corpus to be in-depth and extensive research. Vector space model (VSM) is one of the most simple and effective topics representation model. And K-means is a well-known and...
Paraphrasing is another expression that does not change the meaning of the original statement. Combined with the Chinese sentences automatically paraphrasing techniques, Chinese text information hiding algorithm is proposed in this paper, this algorithm give prominence to template rules and matching process, which also act as a basis for realizing information hiding. Then we analyze the algorithm...
The Empirical Mode Decomposition (EMD) is a new adaptive signal decomposition method, which is good at handling many real nonlinear and nonstationary one dimensional signals. It decomposes signals into a a series of Intrinsic Mode Functions (IMFs) that was shown having better behaved instantaneous frequencies via Hilbert transform (The EMD and Hubert spectrum analysis together were called Hilbert-Huang...
In this paper, we present Parade, a novel and flexible parallel architecture for the deinterleaving of combined pulse-trains. This is a commonly performed task in various areas of signal processing applications, such as satellite communication. Most of these applications require the identification of the main characteristics of pulse-trains such as frequency. Previously suggested techniques for solving...
In this paper, we propose two general multiple instance active learning (MIAL) algorithms, multiple-instance active learning with a simple margin strategy (S-MIAL) and multiple- instance active learning with fisher information (F-MIAL), and apply them to the relevance feedback in localized content based image retrieval (LCBIR). S-MIAL considers the most ambiguous picture as the most valuable one,...
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