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Large flywheel energy storage systems up to megawatt/sub-second range are needed to supply or absorb transient power for pulse loads. Due to its advantages, high power electrically excited synchronous motor is usually preferred in these systems. The Field Oriented Control and Direct Torque Control schemes are two kinds of effective methods used to achieve a stable DC-link voltage. This paper compares...
This paper presents the proof-of-concept investigation for a miniaturized vectorcardiogram [VCG] system for ambulatory on-body applications that continuously monitors the electrical activity of the heart in three dimensions. We investigate the minimum distance between a pair of leads in the X, Y and Z axes such that the signals are distinguishable from the noise. The target dimensions for our VCG...
A novel embedding method, called landmark-based local patches alignment embedding (LLPA), is proposed. LLPA first searches a set of landmarks which preserve the global structure of data set well and constructs overlapping patches based on these landmarks. Then, global isometric mapping and multidimensional scale are applied respectively to derive the low-dimensional coordinates of the landmarks and...
Latent Dirichlet Allocation (LDA) has been widely applied to text mining. LDA is a probabilistic topic model which processes documents as the probability distribution of topics. One challenging issue in application of LDA is to select the optimal number of topics in LDA model. This paper presents a topic selection method which considers the density of each topic and computes the most unstable topic...
This paper investigates the consensus problem of multi-agent systems by the event-based control strategy, and develops the protocol design method using the LMI (linear matrix inequality) theory. Firstly, for the closed-loop system under the event-based protocol with communication events triggered asynchronously, the norm of state disagreement vector is evaluated by giving an upper bound that is closed...
This paper considers a multi-input multi-output (MIMO) wireless relay network, where the source S communicates wirelessly to the destination D via the help of a nonregenerative relay R. Previous studies are almost exclusively based on the assumptions of equal time-duration phases for S-R and R-D transmission and equal number of multiple antennas for every node, and the results concerning arbitrary...
Due to the competition for limited resources by many concurrent processes in large scale automated manufacturing systems (AMS), one has to resolve a deadlock issue in order to reach their production goal without disruption and downtime. Monolithic resolution is a conventional approach for optimal or acceptable solutions, but suffers from computational difficulty. On the other hand, some decentralized...
In this paper, we propose a novel approach SDR-CS (Sparse Dimensionality Reduction based on CS) based on compressed sensing to reduce dimensionality. With certain constraint of objective function, our semi-supervised learning method utilizes instance to construct the optimally sparse dictionary in the training dataset, employs K-SVD and OMP algorithms to improve the convergence rate of learning, and...
As documents are explosively increasing in the era of big data, document clustering has been proven to be useful for organizing online document streams into events. However, extant studies on document clustering still suffer from the problems of high dimensionality, scalability and accuracy. In this paper, we will present a novel association link network (ALN) based document clustering method, which...
Ensuring nonblockingness remains challenging for automated manufacturing systems (AMS) owing to their discrete event dynamics. Both scalability and maximal permissiveness are essential for the synthesis and implementation of their centralized supervisors. Inspired by the divide and conquer philosophy, this work proposes a partition methodology and distributed control technique for large scale AMS...
Behavior management and performance evaluation are two significant issues in the design and operation of automated manufacturing systems (AMS). The former constrains their dynamics so as to avoid improper behavior and eliminate downtime, while the latter aims to evaluate cycle time. Although abundant research has been conducted on each issue independently, researchers rarely address both in a correlative...
In this paper we proposed a new distance computing method for DNA sequences. Given a set of species, the method first codes the DNA sequences of each species into a characteristic vector, and then computes a distance matrix for the set of species based on these characteristic vectors. The distance matrix obtained can be used to construct phylogenetic trees for phylogenetic analysis. Such a method...
Indoor localization techniques are commonly based on measuring the Wi-Fi received signal strength (RSS) and the method of “fingerprinting”. The accuracy depends on density of recorded fingerprints in the radiomap (RM) database. Building and updating RM is expensive and labor-intensive. Taking advantage of ubiquity of smartphones with embedded inertial sensors yields an economic and easy-to-deploy...
Subspace methods have been widely used in blind channel estimation of MIMO-OFDM system. However, direct subspace decomposition suffers from heavy computation complexity of o(N)³. In this paper, a new data projection method (DPM) based principal and minor subspace tracking algorithm is presented by exploiting a novel orthonormalization matrix. The new algorithm exhibits good numerical stability and...
With the permeation of Web 2.0, large-scale user contributed images with tags are easily available on social websites. How to align these social tags with image regions is a challenging task while no additional human intervention is considered, but a valuable one since the alignment can provide more detailed image semantic information and improve the accuracy of image retrieval. To this end, we propose...
Modeling the second-order statistics of articulatory trajectories is likely to improve the performance in classifying phone segments compared to using only linear combinations of MFCCs. Nevertheless, the extremely high dimensionality of the feature space spanned by a combination of monomials of degree-1 and degree-2 makes it difficult to effectively exploit the discriminative information in the full...
The paper proposes a method of schistosoma cercariae image recognition via sparse representation(IRSR). In the method, all the schistosoma cercariae image training samples compose the dictionary for sparse representation. For each test sample, its projection coefficient in the dictionary is computed and the category which has minimal residual value is assigned to it. We also investigate the effect...
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