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Name ambiguity arises when one retrieves publications written by distinct author entities who share the same name. During the past decades, a myriad of supervised and unsupervised methods have been proposed to resolve the ambiguity of author names and boost retrieval performance for digital libraries and other similar websites such as Citeseer1 and WanFang2. However, most of them either need large...
Compressed sensing can decrease the cost of information acquisition, storage, processing and transmission greatly by using sampling rate far lower than that in the sampling theorem limits to realize the accurate reconstruction of sparse or compressible signal. In this paper, we introduced the basic theory of compressed sensing, and then made an in-depth study of this theory from the angle of the sparsification...
In Intelligent Transport field, the Public Vehicle System is proposed to introduce a concept of a specialized vehicle for public transportation, which can integrate and substitute for vehicles such as taxis, buses and railways. Public Vehicle model has several advantages over earlier models, but the algorithm proposed in the model can't consider all potential solutions when building new paths, resulting...
Message verification is important for information security, and the hash-based algorithm is a kind of implementation method. In this paper, we propose a circuit implementation scheme to realize message verification, which is based on SHA1, called HMAC-SHA1. In our scheme, the MD5 circuit module is reusable such that the circuit size is reduced and the processing speed is improved. Finally, we use...
A navigation algorithm based on the distributed Kalman filtering is proposed in this paper. Compared with the algorithm that based on the centralized Kalman filtering, the proposed method can overcome a lot of shortcomings of the integrated navigation algorithm based on centralized Kalman filtering with similar navigation accuracy. Illustrative simulation is also provided to show the efficiency of...
This letter presents a new filtering technique for interferometric synthetic aperture radar (InSAR) phase images. Traditional local denoising algorithms all suffer from the drawback of removing texture detail information. In contrast, several nonlocal methods have attained good performance in InSAR applications. However, these methods only take radiometric similarity. The patch-based locally optimal...
To track the wide range of operating points of fast time-varying processes, a novel multiple model off-line predictive control algorithm is presented. The proposed method is a combination of multiple model strategy and predictive control. Firstly, we locally describe the original nonlinear system around an operating point employing linear time varying (LTV) model. Then the offline model predictive...
Enterprise Social Network (ESN) service is getting more popular recently. It can help employees to communicate and collaborate efficiently with colleagues, with customers and with suppliers. One significant phenomenon happening on ESN is question & answer: people posting questions to the network to get answers from friends or friends-of-friends. However, existing ESN platforms do not have...
Searching frequent patterns in transactional databases is considered as one of the most important data mining problems and Apriori is one of the typical algorithms for this task. Developing fast and efficient algorithms that can handle large volumes of data becomes a challenging task due to the large databases. In this paper, we implement a parallel Apriori algorithm based on MapReduce, which is a...
In this paper, we present a scalable implementation of a topic modeling (Adaptive Link-IPLSA) based method for online event analysis, which summarize the gist of massive amount of changing tweets and enable users to explore the temporal trends in topics. This model also can simultaneously maintain the continuity of the latent semantics to better capture the time line development of events. With the...
The proportionate normalized least-mean-square (PNLMS) algorithm with individual activation factors (IAFPNLMS) converges fast when the echo path is highly sparse, and has been used in system identification. Unfortunately, it suffers from slow convergence speed after the fast initial process. To solve the problem, in this paper, the idea of mu-law PNLMS (MPNLMS) algorithm is introduced into the IAFPNLMS...
A convex combination LMS (least mean square) algorithm based on Krylov subspace transform is proposed in this paper. In this approach, impulse response of the unknown system is firstly transformed into Krylov subspace, in which the system structure is changed into sparse. Then an improved proportionate normalized LMS (IPNLMS) algorithm and a variable tap-length normalized LMS (VTNLMS) algorithm are...
In this paper, two-way differential evolution algorithm is proposed according to two different hybrid scheme of differential evolution algorithm. The bin and exp hybrid scheme are run at same time is the key operation of new algorithm, and regard the best solution of two schemes as the solution of new algorithm. Most of experimental results show that this new algorithm is excellent on both unimodal...
Vocal tract can be modeled by analyzing the speech signals. The accuracy of this method depends on specifying and optimizing the articulatory parameters properly. A kind of vocal tract model, which is described in a midsagittal plane, generally contains 8-12 articulatory parameters, which have close relations with the acoustic formants. Calculating the first four formants frequency according to these...
This paper proposes the voice source signal process technology platform based on pitch synchronous, in which mainly to complete extraction of glottal wave analysis and synthesis, including voiced and unvoiced detection, glottal closure instants detection in the voiced segments, and extraction of glottal wave, glottal wave coding and synthesis. Meanwhile, LF model and its parameters would be analyzed...
This paper proposes an improved bees algorithm and apply it to the large-scale layout optimization without performance constraints. Compared with the origin algorithm, the experimental results show that the performance of the improved algorithm is superior on the capability of global solution searching, this new algorithm can be used to handle the large-scale layout optimization without performance...
Differential Evolution (DE) which has been focused on computation intelligence is a new swarm intelligent algorithm by simulating intelligence of population after GA and PSO etc. It is more robust and efficient. Because the differential degree of individuals is minimized in the last, the diversity of population will be reduced and DE will converge ahead of schedule. It is well known that simulated...
The excellent maintainability is the significant characteristic of the aero-engine, which ensures the maintenance high quality, high efficiency and low cost, but values of one attribution of aero-engine fault are more than one. In this paper, we consider a multi-valued test sequencing (MVTS) problem, in which a test may have an arbitrary number of possible outcomes denoting different behaviors. The...
Inverse analysis of rock displacement is a kind of new way of studying the parameter of physical power of rock, a lot of researchers have carried on research in this respect, and some researchers among them ask solving this question with the genetic algorithm. This paper apply master-slaver model parallel genetic algorithm (MSM-PGA ) to solve inverse analysis of rock displacement, in the course of...
A new variable tap-length LMS algorithm is proposed, in which the error width is made variable rather than fixed. A changing factor is defined to satisfy the change requirement of the error width. Simulations are performed under both low noise and high noise conditions with different error widths, which show that the proposed algorithm can converge fast and at the same time obtain a small steady state...
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