School of Advanced Technology Xi'an Jiaotong-Liverpool University 111 Ren'ai Road Suzhou Dushu Lake Science and Education Innovation District , Suzhou Industrial Park Suzhou,Jiangsu Province,P. R. China,215123
Source:International journal of hybrid intelligent systems,2008,Vol.
Abstract:Cerebral palsy (CP) is generally considered as a non-progressive neuro-developmental condition that occurs in early childhood and is associated with a motor impairment, usually affecting mobility and posture. Automatic accurate identification of cerebral palsy gait has many potential applications, for example, assistance in diagnosis, clinical decision-making and communication among the clinical professionals. In previous studies, support vector machine (SVM) and some other pattern classification methods like neural networks have been applied to classify CP gait patterns. The objective of this study is to first further investigate different classification paradigms in the CP gait analysis, particularly the Kernel Fisher Discriminant Analysis (KFD) which has been successfully applied to many pattern recognition problems and identified as a strong competitor of SVM. The component obtained by KFD maximally separates two classes in the feature space, thus overcoming the limitations of linear discriminant analysis of being unable to extract nonlinear features representing higher-order statistics. Using a publicly available CP gait dataset (68 normal healthy and 88 with spastic diplegia form of CP), a comprehensive performances comparison was presented with different features including the two basic temporal-spatial gait parameters (stride length and cadence). Various cross-validation testing show that the KFD offers better classification accuracies than the support vector machine and is superior to a number of other classification methods such as decision tree, multiple layer perceptron and k nearest neighbor.
Source:ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF THEORETICAL AND METHODOLOGICAL ISSUES,2008,Vol.5226
Abstract:Content-based image retrieval (CBIR) has certain advantages over those pure keyword-based. CBIR indexes images by visual features that are extracted from the images. This may save the effort spent on the manual annotation. However, because low-level visual features, such as colour and texture, often carry no high-level concepts, images retrieved purely based on content may not match with the intention of the user. The work presented in this paper is an image retrieval system that bases both on text annotations and visual contents. It indexes and retrieves images by both keywords and visual features, with the purpose that the keywords may mend the gap between the semantic meaning an image carries and its visual content. Tests were made on the system that have demonstrated that such a hybrid approach did improve retrieval precisions over those pure content-based.
Source:IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2008,Vol.18
Abstract:In this paper, model-based approaches for real-time 3-D soccer ball tracking are proposed, using image sequences from multiple fixed cameras as input. The main challenges include filtering false alarms, tracking through missing observations, and estimating 3-D positions from single or multiple cameras. The key innovations are: 1) incorporating motion cues and temporal hysteresis thresholding in ball detection; 2) modeling each ball trajectory as curve segments in successive virtual vertical planes so that the 3-D position of the ball can be determined from a single camera view; and 4) introducing four motion phases (rolling, flying, in possession, and out of play) and employing phase-specific models to estimate ball trajectories which enables high-level semantics applied in low-level tracking. In addition, unreliable or missing ball observations are recovered using spatio-temporal constraints and temporal filtering. The system accuracy and robustness are evaluated by comparing the estimated ball positions and phases with manual ground-truth data of real soccer sequences.
Source:2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8,2008,Vol.
Abstract:In the field of evolutionary computation, an important attribute of a population is diversity. This paper proposes a method for measuring the diversity of a particle swarm optimization population. It involves the measurement of position and velocity attributes of the particles that comprise the population. The proposed method is computationally straightforward and is adaptable to other evolutionary algorithms.
Source:MidSens'09 - International Workshop on Middleware Tools, Services and Run-Time Support for Sensor Networks, Co-located with the 10th ACM/IFIP/USENIX International Middleware Conference,2009,Vol.
Source:International journal of artificial intelligence and soft computing: IJAISC,2009,Vol.
Abstract:Learning Vector Quantisation (LVQ) is a method of applying the Vector Quantisation (VQ) to generate references for Nearest Neighbour (NN) classification. Though successful in many occasions, LVQ suffers from several shortcomings, especially the reference vectors are prone to diverge. In this paper, we propose a Classified Vector Quantisation (CVQ) to establish VQ for classification. By CVQ, each data category is represented by its own codebook, which can be implemented by some learning algorithms. In classification process, each codebook offers a generalised NN. The examples of handwritten digit recognition and offline signature verification are used to demonstrate the efficiency of the proposed scheme.
Source:IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II,2009,Vol.
Abstract:This paper discusses the use of the Automatic Differentiation approach in evaluating derivatives of functions represented by computer programs. We then considered a Cournot oligopoly modeled by a system of stochastic differential equations. The setting is that of a set of self-interested firms striving to adjust their productions in the direction of higher profits subject to mistakes or random shocks. The stochastic differential equations are solved by a numerical method and the profits are calculated using a Monte Carlo simulation. Then, Automatic Differentiation is used to propagate sensitivities along each path in an automated fashion. Numerical results have confirmed the intuition one may have that noisy environments can lead to important profit differences between firms as well as higher sensitivities as opposed to less noisy ones.
Source:MATHEMATICS AND COMPUTERS IN SIMULATION,2009,Vol.79
Abstract:This paper uses the DIEHARD statistical test suite to test the randomness quality of "permuted" versions of maximum length sequences generated by linear finite state machines (LFSM) such as cellular automata and linear feedback shift registers. Analysis shows that permuted sequences can be equivalently generated by using time-varying transformations derived from the original LFSM. Based on the above, we suggest the permuted transformation sequence scheme. Experimental results show that DIEHARD results are improved with respect to the original non-permuted sequences-up to seven more tests can be passed (total of 19 tests). Furthermore, a permutation vector is used to generate cyclically distinct permuted sequences and each sequence has a desirable maximum length period of 2(n) - 1. (C) 2008 IMACS. Published by Elsevier B.V. All rights reserved.
Source:2009 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING, VOLS 1 AND 2,2009,Vol.
Abstract:This paper proposes a hybrid Wyner-Ziv video coding scheme without requiring the feedback channel which is a limiting factor for many practical applications. In order to remove the feedback channel, we develop a hybrid structure combining the conventional predictive video coding and the Wyner-Ziv video coding schemes. From the information of the neighboring predictive-coded macro blocks, the proposed hybrid scheme estimates the required channel code rate of the Wyner-Ziv coded macro blocks in order to eliminate the requirement of feedback channel. Experiment results indicate that it achieves good coding performance on sequences having linear and slow motion.
Source:2009 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC 2009),2009,Vol.
Abstract:Ad-hoc approach for the development of electronic systems does not satisfy current needs of industry. Therefore, new approaches and techniques are required. Formal Methods are well-known in Software Engineering for a long time, as a potential tool for a faultless development of safety critical systems. Moreover, Process Algebras are one of the most successful techniques that allow formally specifying and analyzing diverse systems. We exemplify application of formal methods by applying Process Analysis Toolkit (PAT), a toolset based on a CPS-style process algebra, to model and analyze a pipeline process and a TLM buffer. In addition, we present the analysis results of several benchmark systems using PAT, namely asynchronous arbiter, hazardous circuit and four-tap FIR filter.
Author:Zhao, CZ;Taylor, S;Werner, M;Chalker, PR;Potter, RJ;Gaskell, JM;Jones, AC
Source:JOURNAL OF VACUUM SCIENCE & TECHNOLOGY B,2009,Vol.27
Abstract:The radiation response of four different high-k materials has been investigated by irradiating them using a 979 MBq Cs(137) gamma-ray source and a dose absorption rate of 0.71 rad(Si)/s. Acceptorlike electron traps and donorlike traps were observed in HfO(2) and ZrO(2) metal-oxide-semiconductor capacitors originating from radiation-induced defects. A lower density of donor-like traps were created in LaAlO(3) and NdAlO(3) capacitors, but both electron and hole trapping play a role in shifting the flat band voltage. The radiation hardness of the LaAlO(3) and NdAlO(3) thin films is similar to thermal SiO(2) but better than the HfO(2) and ZrO(2). (C) 2009 American Vacuum Society. [DOI: 10.1116/1.3071848]
Author:Zhao, CZ;Taylor, S;Werner, M;Chalker, PR;Murray, RT;Gaskell, JM;Jones, AC
Source:JOURNAL OF APPLIED PHYSICS,2009,Vol.105
Abstract:Lanthanum doped zirconium oxide (La-x-Zr1-xO2-delta) films, with La contents, up to x=0.35, were studied. Films were annealed at 900 degrees C to crystallize them into phases with higher kappa-values. Increasing the La content suppressed the monoclinic phase and stabilized the tetragonal or cubic phase. The highest dielectric constant was obtained for a lightly doped film with a La content of x=0.09, for which a kappa-value of 40 was obtained. This was accompanied by a significant dielectric relaxation, following a single Curie-von Schweidler power-law dependency with frequency, changing to a mixed Curie-von Schweidler and Kohlrausch-Williams-Watts relationships after annealing. The dielectric relaxation was most severe for lightly doped films, which had the highest kappa-values. The dielectric relaxation appears to be related to the size of crystal grains formed during annealing, which was dependent on the doping level.