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The Smith-Waterman algorithm, which produces the optimal local alignment between pairwise sequences, is universally used as a key component in bioinformatics fields. It is more sensitive than heuristic approaches, but also more time-consuming. To speed up the algorithm, Single-Instruction Multiple-Data (SIMD) instructions have been used to parallelize the algorithm by leveraging data parallel strategy...
Sequence alignment algorithms are a basic and critical component of many bioinformatics fields. With rapid development of sequencing technology, the fast growing reference database volumes and longer length of query sequence become new challenges for sequence alignment. However, the algorithms have prohibitively high time and space complexity. In this paper, we present DSA, a scalable distributed...
Speech activity detection (SAD) is the key preprocess of speech application. This paper proposed a subspace Gaussian mixture model (SGMM) and phoneme combination based SAD algorithm. This algorithm is efficient, small and can utilize speech recognition corpus directly. Results indicate that, compared with the baseline, our proposed method results in an absolute improvement of 4.9% frame error rate...
Process algebra have been effectively exploited for modeling and verifying functional aspects of services composition, but non-functional aspects have not been given enough care due to process algebra lacking of capability of modeling them. In this paper, we propose a novel process algebra called PTPA that incorporates price and cost. We present syntax and semantics of PTPA. And an algorithm is proposed...
This paper proposes an algorithm called MACH for coding a hierarchical category structure to enable prefix matching between a publication and a subscription. Compared to fixed-length coding, the MACH algorithm generates shorter code lengths without losing the efficiency of matching. In addition, the MACH algorithm automatically identifies the bits that are not necessary for prefix matching. These...
Based on K-Means algorithm and agglomerative hierarchical clustering algorithm, improvement was made regarding the use of clustering algorithm in the application of text mining. It was verified that the accuracy and efficiency of hot topic detection had been enhanced via vector representation of the text, text similarity calculation, and implementation of clustering algorithm.
As a new information acquisition and processing technology, wireless sensor networks can achieve tasks with complex large-scale monitoring and tracking in wide range of applications, but the localization for node itself is the basis of most applications. APIT is a major localization algorithm of ranged free algorithms, but the algorithm has the problems of big localization errors and low coverage...
The applying of QPSO-FISH algorithm in the wireless senor network are mainly studied in this paper. Wireless sensor network is an energy-constrain network, coverage efficiency and power consumption are two important performance indicators. Maximizing the network coverage and minimizing the number of working nodes are network optimization goals. Establish an optimal model for coverage in wireless sensor...
Multi-dimensional packet classification is a key task in network applications, such as firewalls, intrusion prevention and traffic management systems. With the rapid growth of network bandwidth, wire speed multi-dimensional packet classification has become a major challenge for next-generation network processing devices. In this paper, we present a FPGA-based architecture targeting 100 Gbps packet...
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