Achuthan, A, Masendycz, P, Lopez, JA, Nguyen, T, James, DE, Sweet, MJ, Hamilton, JA & Scholz, GM 2008, 'Regulation of the endosomal SNARE protein syntaxin 7 by colony-stimulating factor 1 in macrophages', MOLECULAR AND CELLULAR BIOLOGY, vol. 28, no. 20, pp. 6149-6159.
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Ahlborg, H, Nguyen, N, Center, J, Eisman, J & Nguyen, T 2008, 'Incidence And Risk Factors For Low Trauma Fractures In Men With Prostate Cancer', Bone, vol. 43, no. 3, pp. 556-560.
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Background: Men with prostate cancer on androgen deprivation therapy (ADT) are at increased risk of bone loss. The present study sought to determine the incidence of low trauma fracture in men with prostate cancer (PC), and to characterize the association between potential risk factors and fracture risk in these men. Methods: In the prospective, population-based Dubbo Osteoporosis Epidemiology Study, 43 men aged 60+ years reported a history of prostate cancer; among whom, 22 men received ADT, and 21 men did not. Low-trauma fractureswere ascertained between 1989 and 2004. Bone mineral density at the femoral neck (FNBMD), postural instability and lifestyle factors were obtained at baseline. Results: Men with prostate cancer had significantly higher lumbar spine BMD than those without cancer (p=0.013). During the follow-up period, 15 men with prostate cancer had sustained a fracture, yielding the ageadjusted incidence of fracture among this group was 31.6 per 1000 person-years, which was greater than those without cancer (22.1 per 1000 person-years). The age-adjusted incidence of fracture was more pronounced among those with prostate cancer on ADT (40.2 per 1000 person-years). After adjusting for age, the increase in fracture risk among prostate cancer patientswas associated with lower femoral neck BMD (hazard ratio [HR] per SD=1.8, 95% CI: 1.03.4) and increased rate of bone loss (HR 2.3, 1.24.6). Conclusions: Menwith prostate cancer, particularly those treated with ADT, had an increased fracture risk. Although the average BMD inmen with prostate cancerwas higher thanmen without cancer, a lowBMDprior to treatment or increased rate of bone loss after initiating ADT treatment was each a significant predictor of fracture in these.
Beveridge, N, Tooney, PA, Carroll, AP, Gardiner, E, Bowden, N, Scott, R, Tran, NT, Dedova, I & Cairns, M 2008, 'Dysregulation of miRNA 181b in the temporal cortex in schizophrenia', Human Molecular Genetics, vol. 17, no. 8, pp. 1156-1168.
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Analysis of global microRNA (miRNA) expression in postmortem cortical grey matter from the superior temporal gyrus, revealed significant up-regulation of miR-181b expression in schizophrenia. This finding was supported by quantitative real-time RT-PCR an
Bishop, AN, Fidan, B, Anderson, BDO, Doǧançay, K & Pathirana, PN 2008, 'Optimal range-difference-based localization considering geometrical constraints', IEEE Journal of Oceanic Engineering, vol. 33, no. 3, pp. 289-301.
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This paper proposes a new type of algorithm aimed at finding the traditional maximum-likelihood (TML) estimate of the position of a target given time-difference-of-arrival (TDOA) information, contaminated by noise. The novelty lies in the fact that a performance index, akin to but not identical with that in maximum likelihood (ML), is a minimized subject to a number of constraints, which flow from geometric constraints inherent in the underlying problem. The minimization is in a higher dimensional space than for TML, and has the advantage that the algorithm can be very straightforwardly and systematically initialized. Simulation evidence shows that failure to converge to a solution of the localization problem near the true value is less likely to occur with this new algorithm than with TML. This makes it attractive to use in adverse geometric situations. © 2008 IEEE.
Bishop, AN, Fidan, B, Doǧançay, K, Anderson, BDO & Pathirana, PN 2008, 'Exploiting geometry for improved hybrid AOA/TDOA-based localization', Signal Processing, vol. 88, no. 7, pp. 1775-1791.
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In this paper we examine the geometrically constrained optimization approach to localization with hybrid bearing (angle of arrival, AOA) and time difference of arrival (TDOA) sensors. In particular, we formulate a constraint on the measurement errors which is then used along with constraint-based optimization tools in order to estimate the maximum likelihood values of the errors given an appropriate cost function. In particular we focus on deriving a localization algorithm for stationary target localization in the so-called adverse localization geometries where the relative positioning of the sensors and the target do not readily permit accurate or convergent localization using traditional approaches. We illustrate this point via simulation and we compare our approach to a number of different techniques that are discussed in the literature. © 2008 Elsevier B.V. All rights reserved.
Chan, KY, Fogarty, TC, Aydin, ME, Ling, SH & Iu, HHC 2008, 'Genetic algorithms with dynamic mutation rates and their industrial applications', International Journal of Computational Intelligence and Applications, vol. 7, no. 2, pp. 103-128.
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This paper presents a method on how to estimate main effects of gene representation. This estimate can be used not only to understand the domination of genes in the representation but also to design the mutation rate in genetic algorithms (GAs). A new approach of dynamic mutation rate is proposed by integrating the information of the main effects into the genes. By introducing the proposed method in GAs, both solution quality and solution stability can be improved in solving a set of parametrical test functions. The algorithm was applied to two illustrative applications to evaluate the performance of the proposed method, where the first application is on solving uncapacitated facility location problems and the next is on optimal power flow problems, which are employed. Results indicate that the proposed method yields significantly better results than the existing methods. © 2008 Imperial College Press.
Cheng, TM, Savkin, AV, Celler, BG, Su, SW & Wang, L 2008, 'Nonlinear Modeling and Control of Human Heart Rate Response During Exercise With Various Work Load Intensities', IEEE Transactions On Biomedical Engineering, vol. 55, no. 11, pp. 2499-2508.
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The first objective of this paper is to introduce a nonlinear system to model the heart rate (HR) response during and after treadmill walking exercise. The model is a feedback interconnected system that has components to describe the central and peripher
Hutvagner, GJ & Simard, MJ 2008, 'Argonaute proteins: key players in RNA silencing', Nature Reviews Molecular Cell Biology, vol. 9, no. 1, pp. 22-32.
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During the past decade, small non-coding RNAs have rapidly emerged as important contributors to gene regulation. To carry out their biological functions, these small RNAs require a unique class of proteins called Argonautes. The discovery and our compreh
Lam, HK, Ling, W-K, Iu, HH-C & Ling, SSH 2008, 'Synchronization of chaotic systems using time-delayed fuzzy state-feedback controller', IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, vol. 55, no. 3, pp. 893-903.
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Leung, FHF, Ling, SH & Lam, HK 2008, 'An improved genetic-algorithm-based neural-tuned neural network', International Journal of Computational Intelligence and Applications, vol. 7, no. 4, pp. 469-492.
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This paper presents a neural-tuned neural network (NTNN), which is trained by an improved genetic algorithm (GA). The NTNN consists of a common neural network and a modified neural network (MNN). In the MNN, a neuron model with two activation functions is introduced. An improved GA is proposed to train the parameters of the proposed network. A set of improved genetic operations are presented, which show superior performance over the traditional GA. The proposed network structure can increase the search space of the network and offer better performance than the traditional feed-forward neural network. Two application examples are given to illustrate the merits of the proposed network and the improved GA. © Imperial College Press.
Ling, SS, Lu, H, Chan, KY, Lam, H, Yeung, B & Leung, F 2008, 'Hybrid particle swarm optimization with wavelet mutation and its industrial applications', IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 38, no. 3, pp. 743-763.
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A new hybrid particle swarm optimization (PSO) that incorporates a wavelet-theory-based mutation operation is proposed. It applies the wavelet theory to enhance the PSO in exploring the solution space more effectively for a better solution. A suite or benchmark test functions and three industrial applications (solving the load flow problems, modeling the development of fluid dispensing for electronic packaging, and designing a neural-network-based controller) are employed to evaluate the performance and the applicability of the proposed method. Experimental results empirically show that the proposed method significantly outperforms the existing methods in terms of convergence speed, solution quality, and solution stability.
Ling, SS, Lu, H, Leung, FH & Chan, KY 2008, 'Improved hybrid particle swarm optimized wavelet neural network for Modeling the development of Fluid Dispensing for Electronic Packaging', IEEE Transactions On Industrial Electronics, vol. 55, no. 9, pp. 3447-3460.
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An improved hybrid particle swarm optimization (PSO)-based wavelet neural network (WNN) for Modeling the development of Fluid Dispensing for Electronic Packaging (MFD-EP) is presented in this paper. In modeling the fluid dispensing process, it is important to understand the process behavior as well as determine the optimum operating conditions of the process for a high-yield, low-cost, and robust operation. Modeling the fluid dispensing process is a complex nonlinear problem. This kind of problem is suitable to be solved by applying a neural network. Among the different kinds of neural networks, the WNN is a good choice to solve the problem. In the proposed WNN, the translation parameters are variables depending on the network inputs. Due to the variable translation parameters, the network becomes an adaptive one that provides better performance and increased learning ability than conventional WNNs. An improved hybrid PSO is applied to train the parameters of the proposed WNN. The proposed hybrid PSO incorporates a wavelet-theory-based mutation operation. It applies the wavelet theory to enhance the PSO in more effectively exploring the solution space to reach a better solution. A case study of MFD-EP is employed to demonstrate the effectiveness of the proposed method.
Meier, C, Nguyen, T, Handelsman, D, Schindler, C, Kushnir, M, Rockwood, A, Meikle, A, Center, J, Eisman, J & Seibel, M 2008, 'Endogenous Sex Hormones And Incident Fracture Risk In Older Men - The Dubbo Osteoporosis Epidemiology Study', Archives Of Internal Medicine, vol. 168, no. 1, pp. 47-54.
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Background: Data on the influence of gonadal hormones on incident fracture risk in elderly men are limited. We prospectively examined the relationship between serum levels of testosterone and estradiol and future fracture risk in community-dwelling men. Methods: A total of 609 men older than 60 years had been observed between January 1989 and December 2005, with the median duration being 5.8 years (up to 13 years). Clinical risk factors, including bone mineral density and lifestyle factors, were assessed at baseline. Serum testosterone and estradiol levels were measured by tandem mass spectrometry. The incidence of a low-trauma fracture was ascertained during follow-up. Results: During follow-up, 113 men had at least 1 low-trauma fracture. The risk of fracture was significantly increased in men with reduced testosterone levels (hazard ratio [HR], 1.33; 95% confidence interval [CI], 1.09-1.62). After adjustment for sex hormone-binding globulin, serum testosterone (HR, 1.48; 95% CI, 1.22-1.78) and serum estradiol (HR, 1.21; 95% CI, 1.00-1.47) levels were associated with overall fracture risk. After further adjustment for major risk factors of fractures (age, weight or bone mineral density, fracture history, smoking status, calcium intake, and sex hormone-binding globulin), lower testosterone was still associated with increased risk of fracture, particularly with hip (HR, 1.88; 95% CI, 1.24-2.82) and nonvertebral (HR, 1.32; 95% CI, 1.03-1.68) fractures. Conclusion: in community-dwelling men older than 60 years, serum testosterone is independently associated with the risk of osteoporotic fracture and its measurement may provide additional clinical information for the assessment of fracture risk in elderly men.
Mudhasani, R, Zhu, Z, Hutvagner, GJ, Eischen, C, Lyle, S, Hall, L, Lawrence, J, Imbalzano, A & Jones, S 2008, 'Loss of miRNA biogenesis induces p19(Arf)-p53 signaling and senescence in primary cells', Journal Of Cell Biology, vol. 181, no. 7, pp. 1055-1063.
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Dicer, an enzyme involved in microRNA (miRNA) maturation, is required for proper cell differentiation and embryogenesis in mammals. Recent evidence indicates that Dicer and miRNA may also regulate tumorigenesis. To better characterize the role of miRNA i
Nga, JHC, Iu, HHC, Ling, SH & Lam, HK 2008, 'Comparative study of stability in different TCP/RED models', CHAOS SOLITONS & FRACTALS, vol. 37, no. 4, pp. 977-987.
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Nguyen, ND, Frost, SA, Center, JR, Eisman, JA & Nguyen, TV 2008, 'Development of prognostic nomograms for individualizing 5-year and 10-year fracture risks', OSTEOPOROSIS INTERNATIONAL, vol. 19, no. 10, pp. 1431-1444.
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Nguyen, T 2008, 'Mapping Translational Research Into Individualized Prognosis Of Fracture Risk', International Journal of Rheumatic Diseases, vol. 11, no. 4, pp. 347-358.
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The assessment of fracture risk has until now been based on the measurement of bone mineral density (BMD) and/or a prior fracture. Individuals with BMD T-scores < -2.5 (e.g. osteoporosis) or with prior fractures are indicated for treatment. However, recent data have suggested that 55% of women and 74% of men who Sustained a fracture did not have osteoporosis. Therefore, the current strategy reduces a small number of fractures in the general population, and new thinking is required for that majority of individuals whose BMD measurements are at or near (both sides) the current threshold of osteoporosis. An individual's absolute risk of fracture can be estimated from the individual risk profile, which includes age, BMD, weight or body mass index, prior fracture, comorbidities, corticosteroid use, lifestyle factors, and falls. Therefore, risk assessment must simultaneously consider all risk factors to which the individual is exposed. A number of prognostic models and predictive nomograms have been developed to estimate an individual's absolute risk of fracture, but they have not been externally validated. Nevertheless, these prognostic models can be effective tools for individualizing short-term and long-term risks of fracture, which can help patient counseling and selecting appropriate patients for intervention to maximize the benefit of fracture reduction in the general population.
Nguyen, T, Center, J & Eisman, J 2008, 'Pharmacogenetics Of Osteoporosis And The Prospect Of Individualized Prognosis And Individualized Therapy', Current Opinion in Endocrinology, Diabetes and Obesity, vol. 15, no. 6, pp. 481-488.
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Purpose of review Description of recent progress in genetics and pharmacogenetics of osteoporosis. Recent findings Osteoporosis and its consequence of fragility fracture are characterized by highly complex phenotypes, which include bone mineral density,
Nguyen, T, Nelson, A, Howe, C, Seibel, M, Baxter, R, Handelsman, D, Kazauskas, R & Ho, K 2008, 'Within-Subject Variability And Analytic Imprecision Of Insulinlike Growth Factor Axis And Collagen Markers: Implications For Clinical Diagnosis And Doping Tests', Clinical Chemistry, vol. 54, no. 8, pp. 1268-1276.
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BACKGROUND: The utility of insulinlike growth factor (IGF) axis and collagen markers for a growth hormone (GH) doping test in sport depends on their stability and reproducibility. We sought to determine short-term within-subject variability of these markers in a large cohort of healthy individuals. METHODS: We measured IGF-I, IGF binding protein 3 (IGFBP-3), acid labile subunit (ALS), and the collagen markers N-terminal propeptide of type I procollagen (PINP), C-terminal telopeptide of type I collagen (ICTP), and N-terminal propeptide of type III procollagen (PIIINP) in serum samples obtained on multiple occasions (median 3 per participant) over a 2- to 3-week period from 1103 elite athletes (699 men, 404 women) ages 22.2 (5.2) years [mean (SD)]. We estimated between-subject and within-subject variances by mixed-effects ANOVA. RESULTS: Within-subject variance accounted for 32% to 36% and 4% to 13% of the total variance in IGF markers and collagen markers, respectively. The within-subject CV ranged from 11% to 21% for the IGF axis markers and from 13% to 15% for the collagen markers. The index of individuality for the IGF axis markers was 0.66-0.76, and for the collagen markers, 0.26-0.45. For each marker, individuals with initial extreme measured values tended to regress toward the population mean in subsequent repeated measurements. We developed a Bayesian model to estimate the long-term probable value for each marker. CONCLUSIONS: These results indicate that in healthy individuals the within-subject variability was greater for IGF-I than for the collagen markers, and that where a single measurement is available, it is possible to estimate the long-term probable value of each of the markers by applying the Bayesian approach. Such an application can increase the reliability and decrease the cost of detecting GH doping. (C) 2008 American Association for Clinical Chemistry.
Pham, TD, Wang, H, Zhou, X, Beck, D, Brandl, M, Hoehn, G, Azok, J, Brennan, ML, Hazen, SL, Li, K & Wong, STC 2008, 'Computational prediction models for early detection of risk of cardiovascular events using mass spectrometry data', IEEE Transactions on Information Technology in Biomedicine, vol. 12, no. 5, pp. 636-643.
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Early prediction of the risk of cardiovascular events in patients with chest pain is critical in order to provide appropriate medical care for those with positive diagnosis. This paper introduces a computational methodology for predicting such events in the context of robust computerized classification using mass spectrometry data of blood samples collected from patients in emergency departments. We applied the computational theories of statistical and geostatistical linear prediction models to extract effective features of the mass spectra and a simple decision logic to classify disease and control samples for the purpose of early detection. While the statistical and geostatistical techniques provide better results than those obtained from some other methods, the geostatistical approach yields superior results in terms of sensitivity and specificity in various designs of the data set for validation, training, and testing. The proposed computational strategies are very promising for predicting major adverse cardiac events within six months. © 2008 IEEE.
Richards, L, Brown, C, Stone, MH, Fisher, J, Ingham, E & Tipper, JL 2008, 'Identification of nanometre-sized ultra-high molecular weight polyethylene wear particles in samples retrieved in vivo', JOURNAL OF BONE AND JOINT SURGERY-BRITISH VOLUME, vol. 90B, no. 8, pp. 1106-1113.
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Styrkarsdottir, U, Halldorsson, B, Gretarsdottir, S, Gudbjartsson, D, Walters, G, Ingvarsson, T, Jonsdottir, T, Saemundsdottir, J, Center, J, Nguyen, T, Bagger, Y, Gulcher, J, Eisman, J, Christiansen, C, Sigurdsson, G, Kong, A & Thorsteinsdottir, U 2008, 'Multiple Genetic Loci For Bone Mineral Density And Fractures', New England Journal Of Medicine, vol. 358, no. 22, pp. 2355-2365.
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Background: Bone mineral density influences the risk of osteoporosis later in life and is useful in the evaluation of the risk of fracture. We aimed to identify sequence variants associated with bone mineral density and fracture. Methods: We performed a quantitative trait analysis of data from 5861 Icelandic subjects (the discovery set), testing for an association between 301,019 single-nucleotide polymorphisms (SNPs) and bone mineral density of the hip and lumbar spine. We then tested for an association between 74 SNPs (most of which were implicated in the discovery set) at 32 loci in replication sets of Icelandic, Danish, and Australian subjects (4165, 2269, and 1491 subjects, respectively). Results: Sequence variants in five genomic regions were significantly associated with bone mineral density in the discovery set and were confirmed in the replication sets (combined P values, 1.2 x 10(-7) to 2.0 x 10-(21)). Three regions are close to or within genes previously shown to be important to the biologic characteristics of bone: the receptor activator of nuclear factor-(kappa)B ligand gene (RANKL) (chromosomal location, 13q14), the osteoprotegerin gene (OPG) (8q24), and the estrogen receptor 1 gene (ESR1) (6q25). The two other regions are close to the zinc finger and BTB domain containing 40 gene (ZBTB40) (1p36) and the major histocompatibility complex region (6p21). The 1p36, 8q24, and 6p21 loci were also associated with osteoporotic fractures, as were loci at 18q21, close to the receptor activator of the nuclear factor-kappa B gene (RANK), and loci at 2p16 and 11p11. Conclusions: We have discovered common sequence variants that are consistently associated with bone mineral density and with low-trauma fractures in three populations of European descent. Although these variants alone are not clinically useful in the prediction of risk to the individual person, they provide insight into the biochemical pathways underlying osteoporosis.
Tran, B, Nguyen, D, Eisman, J & Nguyen, T 2008, 'Association Between Lrp5 Polymorphism And Bone Mineral Density: A Bayesian Meta-Analysis', BMC Medical Genetics, vol. 9.
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Vanlandingham, M, Nguyen, T, Abdul-rahman, O, Parent, A & Zhang, J 2008, 'Phenotypical Manifestations Of Partial Trisomy 9 And Monosomy 4 In Two Siblings', Neurological Sciences, vol. 29, no. 6, pp. 467-470.
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In this case report, we describe two siblings with a previously unreported partial monosomy 4q and partial trisomy 9q. The sibling karyotypes were determined to be 46,XX,der(4)t(4;9)(q33;q33)pat and 46,XY,der(4)t(4;9)-(q33;q33)pat. The siblings share sev
Abedin, MJ & Mohan, AS 2008, 'Localization of Near-Field Radiating Sources with an Arbitrary Antenna Array', 2008 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM, VOLS 1-9, IEEE Antennas-and-Propagation-Society International Symposium, IEEE, San Diego, CA, pp. 1520-1523.
Abedin, MJ & Mohan, AS 2008, 'RFID Localization using Planar Antenna Arrays with Arbitrary Geometry', APMC: 2008 ASIA PACIFIC MICROWAVE CONFERENCE (APMC 2008), VOLS 1-5, Asis Pacific Microwave Conference (APMC 2008), IEEE, Hong Kong, PEOPLES R CHINA, pp. 2164-2167.
Abedin, MJ & Sanagavarapu, AM 2008, 'Localization of Near-Field Radiating Sources with an Arbitrary Antenna Array', Antennas and Propagation Society International Symposium, AP-S, IEEE Computer Soc, Marrakech, Morocco, pp. 572-577.
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n this paper we introduce a mathematical modelling of signal which is considered to be received from the near-field of an arbitrary antenna array. The signal model of our formulation is almost similar to beamspace processing but not exactly same. This modeling is also different from element space processing because the range of signal source is also incorporated to account the near-field curvature effect of signal. Finally we use the well known MUSIC algorithm to determine the azimuth angle and range of radiating sources. Simulation results are presented to show the localization performance of arbitrary array with conventional MUSIC algorithm
Abedin, MJ & Sanagavarapu, AM 2008, 'RFID Localization using Planar Antenna Arrays with Arbitrary Geometry', Asia-Pacific Microwave Conference, 2008, Asia-Pacific Microwave Conference, IEEE, Hong Kong, pp. 1-4.
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The results indicated that the MUSIC algorithm can effectively be applied with an arbitrary reader antenna array for the localization of passive RFID tags located in its near-field. Also, results demonstrate that the localization can overcome the ambiguities introduced by the mutual coupling through introduction of our compensation technique.
Al-Azzawi, AA, Aziz, RJ & Al-Ani, AA 2008, 'Finite element analysis of conical shell foundations', Proceedings of the 6th International Conference on Engineering Computational Technology.
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In this paper, the conical shell foundation is investigated. The two components of the interacting system; the soil and the shell foundation, are modelled using the finite element method. In this study, 8-node isoparametric degenerated shell element with five degrees of freedom at each node is used. The soil-structure interaction between the shell elements and the supporting medium are modeled by representing the soil medium by certain analytical equivalent such as Winkler model with both normal compressional and tangential frictional resistances. A parametric studies have been carried out to investigate the effect of some important parameters on the behaviour of shell foundations. Three parameters are considered which are: semi-vertical angle, conical shell thickness and vertical subgrade reaction. Comparison between the results obtained by the present analysis and those obtained by other investigations are made. The present analysis shows satisfactory results when compared with those obtained by other studies with largest percentage difference of 2.5% in the value of the vertical displacement. © 2008 Civil-Comp Press.
Al-Jaafreh, M & Al-Jumaily, A 2008, 'Type-2 fuzzy system based blood pressure parameters estimation', 2nd Asia International Conference on Modelling and Simulation, AMS 2008, Asia International Conference on Modelling and Simulation, IEEE, Kuala Lumpur, pp. 953-958.
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Alsukker, AS, Khushaba, RN, Al-Ani, A & Al-Jumaily, A 2008, 'Enhanced Feature Selection Algorithm Using Ant Colony Optimization and Fuzzy Memberships', Proceedings of the 6th IASTED International Conference on Biomedical Engineering (BioMED 2008), IASTED International Conference on Biomedical Engineering, IASTED, Innsbruck, Austria, pp. 34-39.
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Feature selection is an indispensable pre-processing step when mining huge datasets that can significantly improve the overall system performance. This paper presents a novel feature selection method that utilizes both the Ant Colony Optimization (ACO) and fuzzy memberships. The algorithm estimates the local importance of subsets of features, i.e., their pheromone intensities by utilizing fuzzy c-means (FCM) clustering technique. In order to prove the effectiveness of the proposed method, a comparison with another powerful ACO based feature selection algorithm that utilizes the Mutual Information (MI) concept is presented. The method is tested on two biosignals driven applications: Brain Computer Interface (BCI), and prosthetic devices control with myoelectric signals (MES). A linear discriminant analysis (LDA) classifier is used to measure the performance of the selected subsets in both applications. Practical experiments prove that the new algorithm can be as accurate as the original method with MI, but with a significant reduction in computational cost, especially when dealing with huge datasets.
Baxter, RM, Steinbeck, MJ, Tipper, JL, Rimnac, CM, Parvizi, J, Marcolongo, M & Kurtz, SM 2008, 'Evaluation of methods for optimized periprosthetic tissue digestion', 8th World Biomaterials Congress 2008, p. 961.
Bishop, A & Pathirana, PN 2008, 'Optimal trajectories for homing navigation with bearing measurements', IFAC Proceedings Volumes (IFAC-PapersOnline).
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In this paper we examine the geometry of a number of navigation schemes for guiding a pursuer from a fixed initial position to a final target position. We explicitly characterize the optimal pursuer trajectories for the given problems in terms of minimizing the error in an unbiased estimate of the target position from successive bearing measurements made along the trajectory. Copyright © 2007 International Federation of Automatic Control All Rights Reserved.
Bishop, A, Pathirana, PN & Savkin, AV 2008, 'Decentralized and robust target tracking with sensor networks', IFAC Proceedings Volumes (IFAC-PapersOnline).
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In this paper we address the problem of decentralized and robust linear filtering for target tracking using networks of (radar) sensors taking nonlinear range and bearing measurements. The algorithm introduced in this paper permits efficient data fusion from multiple sensors through a summation style fusion architecture. Moreover, we prove that the state estimation error for the linear filtering algorithm is bounded. Copyright © 2007 International Federation of Automatic Control All Rights Reserved.
Bishop, AN & Pathirana, PN 2008, 'Optimal trajectory characterization for a pursuer navigation scheme', Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC, pp. 998-1003.
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In this paper we examine the geometry of a number of bearing-only navigation schemes for guiding a pursuer from a fixed initial position to a final target position. We explicitly characterize the optimal trajectories for the given problems in terms of analyzing those trajectories which attempt to minimize the error in an estimate of the target position using successive bearing measurements made along the trajectory.
Bishop, AN & Pathirana, PN 2008, 'Trajectory characterizations for a discrete-time bearing-only navigation strategy', 2008 Mediterranean Conference on Control and Automation - Conference Proceedings, MED'08, pp. 1186-1191.
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In this paper we explore the geometry of a particular navigation scheme which guides a pursuer from a fixed initial position to a given fixed final position using a one-step look ahead strategy and using only bearing measurements. We explicitly characterize the optimal trajectories for the problem in terms of the Cramer-Rao bound such that the derived trajectories permit a minimization in the error of an unbiased estimate of the target position. © 2008 IEEE.
Bishop, AN, Pathirana, PN & IEEE 2008, 'Trajectory Characterizations for a Discrete-Time Bearing-Only Navigation Strategy', 2008 MEDITERRANEAN CONFERENCE ON CONTROL AUTOMATION, VOLS 1-4, pp. 1134-1139.
Bliuc, D, Nguyen, ND, Nguyen, TV, Eisman, JA & Center, JR 2008, 'Predictors of Poor Outcomes Following Osteoporotic Fractures in Elderly Women and Men: Air 18 Year Prospective Study.', JOURNAL OF BONE AND MINERAL RESEARCH, 30th Annual Meeting of the American-Society-for-Bone-and-Mineral-Research, AMER SOC BONE & MINERAL RES, Montreal, CANADA, pp. S59-S59.
Center, JR, Bliuc, D, Nguyen, TV & Eisman, JA 2008, 'Substantial Adverse Outcomes Follow Non-Hip Non-Vertebral Fragility Fractures.', JOURNAL OF BONE AND MINERAL RESEARCH, 30th Annual Meeting of the American-Society-for-Bone-and-Mineral-Research, AMER SOC BONE & MINERAL RES, Montreal, CANADA, pp. S18-S18.
Chan, KY, Zhu, HL, Lau, CC & Ling, SH 2008, 'Gene Signature Selection for Cancer Prediction Using an Integrated Approach of Genetic Algorithm and Support Vector Machine', 2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8, IEEE Congress on Evolutionary Computation, IEEE, Hong Kong, PEOPLES R CHINA, pp. 217-+.
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Cheng, TM, Savkin, AV, Celler, BG, Su, SW & Wang, L 2008, 'Heart Rate Regulation During Exercise with Various Loads: Identification and Nonlinear H infinity Control', Proceedings of the 17th World Congress, The International Federation of Automatic Control (IFAC), IFAC World Congress, 2008 IFAC, Seoul, Korea, pp. 11618-11623.
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A model for the heart rate response to treadmill walking exercise is proposed in this paper. The parameters of the model were experimentally identified which involved subjects walking at different speeds. A 2-degree-of-freedom controller was then developed for the regulation of the heart rate response during treadmill exercise. The controller consists of a piecewise LQ and an Hâ sub-controllers. Experimental results demonstrated that the heart rate of the subjects were regulated by the proposed controller.
Cheng, TM, Savkin, AV, Celler, BG, Su, SW & Wang, L 2008, 'Nonlinear modelling and control of heart rate response to treadmill walking exercise', The First International Conference on Bio-inspired Systems and Signal Processing, International Conference on Bio-inspired Systems and Signal Processing, Institute for Systems and Technologies of Information, Madeira, Portugal, pp. 498-503.
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In this study, a nonlinear system was developed for the modelling of the heart rate response to treadmill walking exercise. The model is a feedback interconnected system which can represent the neural response and peripheral local response to exercise. The parameters of the model were identified from an experimental study which involved 6 healthy adult male subjects, each completed 3 sets of walking exercise at different speeds. The proposed model will be useful in explaining the cardiovascular response to exercise. Based on the model, a 2-degree-of-freedom controller was developed for the regulation of the heart rate response during exercise. The controller consists of a piecewise LQ and an H infinity controllers. Simulation results showed that the proposed controller had the ability to regulate heart rate at a given target, indicating that the controller can play an important role in the design of exercise protocols for individuals.
Cheng, TM, Savkin, AV, Su, SW, Celler, BG & Wang, L 2008, 'A robust control design for heart rate tracking during exercise', Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Engineering in Medicine and Biology Society Annual Conference, IEEE, Vancouver, Canada, pp. 2785-2788.
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In this study, a control design is proposed for the tracking control of heart rate response during treadmill exercise. The controller tracks an exerciserâs heart rate to a given heart rate profile, that may represent a prescribed exercise protocol, by varying the speed of the treadmill. A guaranteed cost control approach is adopted in the control design so that the controller guarantees a certain level of performance. The effectiveness of the proposed control design is demonstrated via a simulation study. The controller will be useful in the design of exercise protocols for individuals.
Cheng, TM, Savkin, AV, Su, SW, Celler, BG & Wang, L 2008, 'A robust control design for heart rate tracking during exercise', Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology", pp. 2785-2788.
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In this study, a control design is proposed for the tracking control of heart rate response during treadmill exercise. The controller tracks an exerciser's heart rate to a given heart rate profile, that may represent a prescribed exercise protocol, by varying the speed of the treadmill. A guaranteed cost control approach is adopted in the control design so that the controller guarantees a certain level of performance. The effectiveness of the proposed control design is demonstrated via a simulation study. The controller will be useful in the design of exercise protocols for individuals. © 2008 IEEE.
DaLvand, H, Su, SW & Ha, QP 2008, 'Design of a Variable Reactor for Load Balancing and Harmonics Elimination', Proceedings of Australasian Universities Power Engineering Conference 2008, Australasian Universities Power Engineering Conference, University of New South Wales, Sydney, Australia, pp. 1-6.
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This paper presents the design of a variable inductor with a rotational magnetic core whose position is controlled in a closed-loop system. This magnetic structure facilitates the impedance changes which may be used for load balancing, harmonics elimination, transient response improvement, and as a controlled reactor in static VAr compensation (SVC). The design of the inductor and analysis of its impedance change caused by positioning a movable element are carried out by using the finite element method. As a result, the variation range of the impedance is determined. The proposed variable inductor is compared with a typical SVC reactor. The results show good performances in static var compensation with higher reliability and no harmonics generated. For closed-loop control, a secondorder sliding mode controller is designed for position control of the rotating core via a DC motor. Simulation results of the proposed system present highly robust and accurate responses without control chattering in face of nonlinearities and disturbances.
Frost, SA, Nguyen, ND, Center, JR, Eisman, JA & Nguyen, TV 2008, 'Excess of Post-fracture Mortality Among Men and Women: A Relative Survival Analysis', JOURNAL OF BONE AND MINERAL RESEARCH, 30th Annual Meeting of the American-Society-for-Bone-and-Mineral-Research, AMER SOC BONE & MINERAL RES, Montreal, CANADA, pp. S199-S199.
Frost, S-A, Nguyen, ND, Center, JR, Eisman, JA & Nguyen, TV 2008, 'Timing of Repeated Bone Mineral Density, Measurements: Development of an Absolute Risk-based Prognostic Model', JOURNAL OF BONE AND MINERAL RESEARCH, 30th Annual Meeting of the American-Society-for-Bone-and-Mineral-Research, AMER SOC BONE & MINERAL RES, Montreal, CANADA, pp. S115-S115.
Guo, Y, Zhu, J, Chen, J, Su, SW, Lu, H & Jin, J 2008, 'Performance Analysis of a Claw Pole PM Motor', Proceedings of Australasian Universities Power Engineering Conference 2008, Australasian Universities Power Engineering Conference, University of New South Wales, Sydney, Australia, pp. 1-5.
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This paper presents the performance analysis of a three-phase three-stack permanent magnet (PM) claw pole motor by using an improved phase variable model, which has been developed for accurate and efficient performance simulation of PM brushless dc motors. The improved model can take into account the effect of magnetic saturation and rotor position dependence of key parameters including back electromagnetic force, winding inductance, cogging torque and core loss, which are obtained from time-stepping nonlinear magnetic field finite element analysis (FEA). The presented model has been implemented in Simulink environment and employed to simulate the dynamic and steady-state performance of the three-phase three-stack PM claw pole motor with soft magnetic composite stator. Parameter computation and performance simulation are validated by experiments on the motor prototype.
Huang, S & Su, SW 2008, 'Robust Control for Nonlinear Discrete-Time Systems with Quantitative Input to State Stability Requirement', Proceedings of the 17th World Congress, The International Federation of Automatic Control (IFAC), IFAC World Congress, 2008 IFAC, Seoul, Korea, pp. 14186-14191.
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In this paper, we consider state feedback robust control problems for discretetime nonlinear systems subject to disturbances. The objective of the control is to minimize a performance function while guaranteeing a prescribed quantitative input to state stability (ISS) property for the closed-loop systems. By introducing the concept of ISS control invariant set, a sufficient condition for the problem to be feasible is given. Built on the sufficient condition, a computationally efficient control design algorithm based on one-step min-max optimization is developed. An example is given to illustrate the proposed strategy.
Khushaba, RN, Al-Ani, A & Al-Jumaily, A 2008, 'Differential Evolution based Feature Subset Selection', Proceedings of the 19th International Conference on Pattern Recognition (ICPR-2008), International Conference on Pattern Recognition, IEEE, USA, pp. 1-4.
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In this paper, a novel feature selection algorithm based on differential evolution (DE) optimization technique is presented. The new algorithm, called DEFS, modifies the DE which is a real-valued optimizer, to suit the problem of feature selection. The proposed DEFS highly reduces the computational costs while at the same time proving to present powerful performance. The DEFS technique is applied to a brain-computer-interface (BCI) application and compared with other dimensionality reduction techniques. The practical results indicate the significance of the proposed algorithm in terms of solutions optimality, memory requirement, and computational cost.
Khushaba, RN, Al-Ani, A & Al-Jumaily, A 2008, 'Differential Evolution based Feature Subset Selection', 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 19th International Conference on Pattern Recognition (ICPR 2008), IEEE, Tampa, FL, pp. 3674-3677.
Khushaba, RN, Al-Ani, A & Al-Jumaily, A 2008, 'Fuzzy Discriminant Analysis based Feature Projection in Myoelectric Control', Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Engineering in Medicine and Biology Society Annual Conference, IEEE, Canada, pp. 5049-5052.
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The myoelectric signal (MES) from human muscles is usually utilized as an input to the controller of a multifunction prosthetic hand. In such a system, a pattern recognition approach is usually employed to discriminate between the MES from different classes. Since the MES is recorded using multi channels, the feature vector size can become very large. In order to reduce the computational cost and enhance the generalization capability of the classifier, a dimensionality reduction method is needed to identify an informative moderate size feature set. This paper proposes a novel feature projection technique based on a combination of Fisher's Linear Discriminant Analysis (LDA), and Fuzzy Logic. The new method, called FLDA, assigns different membership degrees to the data points thus reducing the effect of overlapping points in the discrimination process. Furthermore, the concept of Mutual Information (MI) is introduced in the fuzzy memberships in order to assign weights to the features (attributes) according to their contribution to the discrimination process. The FLDA method is tested on a seven classes MES dataset and compared with other feature projection techniques proving its superiority.
Khushaba, RN, Al-Ani, A & Al-Jumaily, A 2008, 'Swarm Intelligence In Myoelectric Control: Particle Swarm Based Dimensionality Reduction', 6th IASTED International Conference on Biomedical Engineering (BioMED 2008), IASTED International Conference on Biomedical Engineering, IASTED, Austria, pp. 601-694.
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The myoelectric signals (MES) from human muscles have been utilized in many applications such as prosthesis control. The identification of various MES temporal structures is used to control the movement of prosthetic devices by utilizing a pattern recognition approach. Recent advances in this field have shown that there are a number of factors limiting the clinical availability of such systems. Several control strategies have been proposed but deficiencies still exist with most of those strategies especially with the Dimensionality Reduction (DR) part. This paper proposes using Particle Swarm Optimization (PSO) algorithm with the concept of Mutual Information (MI) to produce a novel hybrid feature selection algorithm. The new algorithm, called PSOMIFS, is utilized as a DR tool in myoelectric control problems. The PSOMIFS will be compared with other techniques to prove the effectiveness of the proposed method. Accurate results are acquired using only a small subset of the original feature set producing a classification accuracy of 99% across a problem of ten classes based on tests done on six subjects MES datasets.
Khushaba, RN, Al-Ani, A & Al-Jumaily, A 2008, 'Swarm intelligence in myoelectric control: Particle Swarm based Dimensionality Reduction', Proceedings of the 6th IASTED International Conference on Biomedical Engineering, BioMED 2008, pp. 40-45.
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The myoelectric signals (MES) from human muscles have been utilized in many applications such as prosthesis control. The identification of various MES temporal structures is used to control the movement of prosthetic devices by utilizing a pattern recognition approach. Recent advances in this field have shown that there are a number of factors limiting the clinical availability of such systems. Several control strategies have been proposed but deficiencies still exist with most of those strategies especially with the Dimensionality Reduction (DR) part. This paper proposes using Particle Swarm Optimization (PSO) algorithm with the concept of Mutual Information (MI) to produce a novel hybrid feature selection algorithm. The new algorithm, called PSOMIFS, is utilized as a DR tool in myoelectric control problems. The PSOMIFS will be compared with other techniques to prove the effectiveness of the proposed method. Accurate results are acquired using only a small subset of the original feature set producing a classification accuracy of 99% across a problem of ten classes based on tests done on six subjects MES datasets.
Khushaba, RN, Al-Ani, A, Alsukker, AS & Al-Jumaily, A 2008, 'A Combined Ant Colony and Differential Evolution Feature Selection Algorithm', Lecture Notes In Computer Science Vol 5217: Ant Colony Optimization and Swarm Intelligence, International Workshop on Ant Colony, Springer, Brussels, Belgium, pp. 1-12.
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Feature selection is an important step in many pattern recognition systems that aims to overcome the so-called curse of dimensionality problem. Although Ant Colony Optimization (ACO) proved to be a powerful technique in different optimization problems, but it still needs some improvements when applied to the feature selection problem. This is due to the fact that it builds its solutions sequentially, where in feature selection this behavior will most likely not lead to the optimal solution. In this paper, a novel feature selection algorithm based on a combination of ACO and a simple, yet powerful, Differential Evolution (DE) operator is presented. The proposed combination enhances both the exploration and exploitation capabilities of the search procedure. The new algorithm is tested on two biosignal-driven applications. The performance of the proposed algorithm is compared with other dimensionality reduction techniques to prove its superiority.
Khushaba, RN, Al-Jumaily, A & Al-Ani, A 2008, 'Fuzzy discriminant analysis based feature projection in myoelectric control', Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology", pp. 5049-5052.
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The myoelectric signal (MES) from human muscles is usually utilized as an input to the controller of a multifunction prosthetic hand. In such a system, a pattern recognition approach is usually employed to discriminate between the MES from different classes. Since the MES is recorded using multi channels, the feature vector size can become very large. In order to reduce the computational cost and enhance the generalization capability of the classifier, a dimensionality reduction method is needed to identify an informative moderate size feature set. This paper proposes a novel feature projection technique based on a combination of Fisher's Linear Discriminant Analysis (LDA), and Fuzzy Logic. The new method, called FLDA, assigns different membership degrees to the data points thus reducing the effect of overlapping points in the discrimination process. Furthermore, the concept of Mutual Information (MI) is introduced in the fuzzy memberships in order to assign weights to the features (attributes) according to their contribution to the discrimination process. The FLDA method is tested on a seven classes MES dataset and compared with other feature projection techniques proving its superiority. © 2008 IEEE.
Khushaba, RN, Alsukker, AS, Al-Ani, A & Al-Jumaily, A 2008, 'Intelligent Artificial Ants based Feature Extraction from Wavelet Packet Coefficients for Biomedical Signal Classification', 3rd International Symposium on Communications, Control and Signal Processing (ISCCSP 2008), International Symposium on Communications, Control and Signal Processing, IEEE, Malta, pp. 1366-1371.
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n this paper, a new feature extraction method utilizing ant colony optimization in the selection of wavelet packet transform (WPT) best basis is presented and adopted in classifying biomedical signals. The new algorithm, termed intelligent artificial ants (IAA), searches the wavelet packet tree for subsets of features that best interact together to produce high classification accuracies. While traversing the WPT tree, the IAA takes into account existing correlation between features thus avoiding information redundancy. The IAA method is a mixture of filter and wrapper approaches in feature subset selection. The pheromone that the ants lay down is updated by means of an estimation of the information contents of a single feature or feature subset. The significance of the subsets selected by the ants is measured using linear discriminant analysis (LDA) classifier. The IAA method is tested on one of the most important biosignal driven applications, which is the brain computer interface (BCI) problem with 56 EEG channels. Practical results indicate the significance of the proposed method achieving a maximum accuracy of 83%.
Ling, SH, Iu, HHC, Leung, FHF & Chan, KY 2008, 'Modelling the Development of Fluid Dispensing for Electronic Packaging: Hybrid Particle Swarm Optimization Based-Wavelet Neural Network Approach', 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, International Joint Conference on Neural Networks, IEEE, Hong Kong, PEOPLES R CHINA, pp. 98-103.
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Nguyen, N, Nguyen, HT & Su, S 2008, 'Neuro-sliding mode multivariable control of a powered wheelchair', Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology", pp. 3471-3474.
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This paper proposes a neuro-sliding mode multivariable control approach for the control of a powered wheelchair system. In the first stage, a systematic decoupling technique is applied to the wheelchair system in order to reduce the multivariable control problem into two independent scalar control problems. Then two Neuro-Sliding Mode Controllers (NSMCs) are designed for these independent subsystems to guarantee system robustness under model uncertainties and unknown external disturbances. Both off-line and on-line trainings are involved in the second stage. Realtime experimental results confirm that robust performance for this multivariable wheelchair control system under model uncertainties and unknown external disturbances can indeed be achieved. © 2008 IEEE.
Nguyen, N, Nguyen, HT & Su, S 2008, 'Optimal path-following control of a smart powered wheelchair', Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology", pp. 5025-5028.
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This paper proposes an optimal path-following control approach for a smart powered wheelchair. Lyapunov's second method is employed to find a stable position tracking control rule. To guarantee robust performance of this wheelchair system even under model uncertainties, an advanced robust tracking is utilised based on the combination of a systematic decoupling technique and a neural network design. A calibration procedure is adopted for the wheelchair system to improve positioning accuracy. After the calibration, the accuracy is improved significantly. Two real-time experimental results obtained from square tracking and door passing tasks confirm the performance of proposed approach. © 2008 IEEE.
Nguyen, N, Nguyen, HT & Su, SW 2008, 'Neuro-Sliding Mode Multivariable Control of a Powered Wheelchair', Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Engineering in Medicine and Biology Society Annual Conference, IEEE, Vancouver, Canada, pp. 3471-3474.
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This paper proposes a neuro-sliding mode multivariable control approach for the control of a powered wheelchair system. In the first stage, a systematic decoupling technique is applied to the wheelchair system in order to reduce the multivariable control problem into two independent scalar control problems. Then two Neuro-Sliding Mode Controllers (NSMCs) are designed for these independent subsystems to guarantee system robustness under model uncertainties and unknown external disturbances. Both off-line and on-line trainings are involved in the second stage. Realtime experimental results confirm that robust performance for this multivariable wheelchair control system under model uncertainties and unknown external disturbances can indeed be achieved.
Nguyen, N, Nguyen, HT & Su, SW 2008, 'Optimal Path-following Control of a Smart Powered Wheelchair', Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Engineering in Medicine and Biology Society Annual Conference, IEEE, Vancouver, Canada, pp. 5025-5028.
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This paper proposes an optimal path-following control approach for a smart powered wheelchair. Lyapunovâs second method is employed to find a stable position tracking control rule. To guarantee robust performance of this wheelchair system even under model uncertainties, an advanced robust tracking is utilised based on the combination of a systematic decoupling technique and a neural network design. A calibration procedure is adopted for the wheelchair system to improve positioning accuracy. After the calibration, the accuracy is improved significantly. Two real-time experimental results obtained from square tracking and door passing tasks confirm the performance of proposed approach.
Nguyen, ND, Center, JR, Eisman, JA & Nguyen, TV 2008, 'Reduced Serum Osteocalcin and Sex Hormone Binding Globulin in Men with Type II Diabetes.', JOURNAL OF BONE AND MINERAL RESEARCH, 30th Annual Meeting of the American-Society-for-Bone-and-Mineral-Research, AMER SOC BONE & MINERAL RES, Montreal, CANADA, pp. S360-S360.
Nguyen, ND, Frost, SA, Center, JR, Eisman, JA & Nguyen, TV 2008, 'Development a Nomogram for Individualizing the Absolute Risk and Time to Recurrent Fracture', JOURNAL OF BONE AND MINERAL RESEARCH, 30th Annual Meeting of the American-Society-for-Bone-and-Mineral-Research, AMER SOC BONE & MINERAL RES, Montreal, CANADA, pp. S116-S116.
Nguyen, TV, Nguyen, ND, Meler, C, Eisman, JA & Seibel, MJ 2008, 'Post-Fracture Mortality in Men: Contributions of Sex Hormones and Bone Mineral Density as Risk Factors', JOURNAL OF BONE AND MINERAL RESEARCH, 30th Annual Meeting of the American-Society-for-Bone-and-Mineral-Research, AMER SOC BONE & MINERAL RES, Montreal, CANADA, pp. S78-S78.
Pathirana, PN, Bishop, AN & Savkin, AV 2008, 'Localization of mobile transmitters by means of linear state estimation using RSS measurements', 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, pp. 210-213.
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This paper investigates the problem of estimating the location and velocity of a mobile agent using the received signal strength (RSS) measurements. Typical power measurements are inherently nonlinear and in this approach we derive a linear measurement scheme using an analytical measurement conversion technique which can readily be used with RSS measuring sensors. Power measurements are hence used in our robust version of a linear Kalman filter to estimate the dynamic parameters of the moving transmitter. © 2008 IEEE.
Pathirana, PN, Bishop, AN, Savkin, AV, Ekanayake, SW & Black, TJ 2008, 'A method for stereo-vision based tracking for robotic applications', Proceedings of the IEEE Conference on Decision and Control, pp. 1298-1303.
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Vision based tracking of an object using the ideas of perspective projection inherently consists of nonlinearly modelled measurements although the underlying dynamic system that encompasses the object and the vision sensors can be linear. Based on a necessary stereo vision setting, we introduce an appropriate measurement conversion techniques which subsequently facilitate using a linear filter. Linear filter together with the aforementioned measurement conversion approach conforms a robust linear filter that is based on the set values state estimation ideas; a particularly rich area in the robust control literature. We provide a rigorously theoretical analysis to ensure bounded state estimation errors formulated in terms of an ellipsoidal set in which the actual state is guaranteed to be included to an arbitrary high probability. Using computer simulations as well as a practical implementation consisting of a robotic manipulator, we demonstrate our linear robust filter significantly outperforms the traditionally used extended Kalman filter under this stereo vision scenario. © 2008 IEEE.
Pereni, CI, Walker, PG, Levesley, MC, Keeling, D, Jaber, O, Watterson, K, Tipper, JL & Fisher, J 2008, 'Wear characteristics of a knitted PET implantable scaffold', 8th World Biomaterials Congress 2008, p. 575.
Pham, TD, Beck, D, Brandl, M & Zhou, X 2008, 'Classification of proteomic signals by block kriging error matching', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 281-288.
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One of recent advances in biotechnology offers high-throughput mass-spectrometry data for disease detection, prevention, and biomarker discovery. In fact proteomics has recently become an attractive topic of research in biomedicine. Signal processing and pattern classification techniques are inherently essential for analyzing proteomic data. In this paper the estimation method of block kriging is utilized to derive an error matching strategy for classifying proteomic signals with a particular application to the prediction of cardiovascular events using clinical mass spectrometry data. The proposed block kriging based classification technique has been found to be superior to other recently developed methods. © 2008 Springer-Verlag.
Pham, TD, Brandl, M & Beck, D 2008, 'A new approach for cancer classification using microarray gene expression data', IASTED International Symposium on Computational Biology and Bioinformatics, CBB 2008, pp. 247-253.
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We propose in this paper a new approach for classification of cancers using microarray gene expression data. The proposed method adopts the concept of fuzzy declustering strategy for vector quantization algorithm. The notion of fuzzy partition entropy is coupled with the distortion measures for classifying spectral features of microarray data. Experimental results obtained from real datasets demonstrate the effective performance of the proposed approach.
Pham, TD, Brandl, M, Nguyen, ND & Nguyen, TV 2008, 'Fuzzy measure of multiple risk factors in the prediction of osteoporotic fractures', PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, 9th WSEAS International Conference on Fuzzy Systems, WORLD SCIENTIFIC AND ENGINEERING ACAD AND SOC, Sofia, BULGARIA, pp. 171-+.
Pham, TD, Wang, H, Zhou, X, Beck, D, Brandl, M, Hoehn, G, Azok, J, Brennan, ML, Hazen, SL & Wong, STC 2008, 'Classification of mass spectrometry based protein markers by kriging error matching', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 82-94.
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Discovery of biomarkers using serum proteomic patterns is currently one of the most attractive interdisciplinary research areas in computational life science. This new proteomic approach has the clinical significance in being able to detect disease in its early stages and to develop new drugs for disease treatment and prevention. This paper introduces a novel pattern classification strategy for identifying protein biomarkers using mass spectrometry data of blood samples collected from patients in emergency department monitored for major adverse cardiac events within six months. We applied the theory of geostatistics and a kriging error matching scheme for identifying protein biomarkers that are able to provide an average classification rate superior to other current methods. The proposed strategy is very promising as a general computational bioinformatic model for proteomic-pattern based biomarker discovery. © 2008 Springer-Verlag.
Su, SW, Celler, BG, Savkin, AV, Nguyen, HT, Cheng, TM, Guo, Y & Wang, L 2008, 'Portable sensor based dynamic estimation of human oxygen uptake via nonlinear multivariable modeling', Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Engineering in Medicine and Biology Society Annual Conference, IEEE, Vancouver, Canada, pp. 2431-2434.
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Noninvasive portable sensors are becoming popular in biomedical engineering practice due to its ease of use. This paper investigates the estimation of human oxygen uptake (VO2) of treadmill exercises by using multiple portable sensors (wireless heart rate sensor and triaxial accelerometers). For this purpose, a multivariable Hammerstein model identification method is developed. Well designed PRBS type of exercises protocols are employed to decouple the identification of linear dynamics with that of nonlinearities of Hammerstein systems. The support vector machine regression is applied to model the static nonlinearities. Multivariable ARX modelling approach is used for the identification of dynamic part of the Hammerstein systems. It is observed the obtained nonlinear multivariable model can achieve better estimations compared with single input single output models. The established multivariable model has also the potential to facilitate dynamic estimation of energy expenditure for outdoor exercises, which is the next research step of this study.
Su, SW, Nguyen, HT & Ha, QP 2008, 'Integral Controller Design for Nonlinear Systems using Inverse Optimal Control', Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision, International Conference on Control, Automation, Robotics and Vision, Research Publishinh Services, Hanoi, Vietnam, pp. 2154-2158.
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This paper proposes an integral controller design scheme for nonlinear systems based on optimal control and the passivity theorem in order to suppress the effect of external disturbances. The main strategy is to augment an optimal controller with a PI type controller. To guarantee the proposed controller has a desired stability margin, the passivity-based design method is introduced. Here, the inverse optimal control technique is employed to avoid the need of solving a Hamilton- Jacobi equation. An illustrative example is given to show the design procedure and the controller effectiveness.
Tran, BH, Au, A, Nguyen, ND, Clifton-Bligh, R, Center, JR, Eisman, JA & Nguyen, TV 2008, 'Prediction of Osteoporotic Fracture Risk by 25-hydroxyvitamin D-3-1 alpha-hydroxylase (CYP27B1) Gene.', JOURNAL OF BONE AND MINERAL RESEARCH, 30th Annual Meeting of the American-Society-for-Bone-and-Mineral-Research, WILEY-BLACKWELL, Montreal, CANADA, pp. S438-S438.
Tran, BH, Nguyen, ND, Center, JR, Eisman, JA & Nguyen, TV 2008, 'Prediction of Fracture Risk by LRP5 Gene Haplotype.', JOURNAL OF BONE AND MINERAL RESEARCH, 30th Annual Meeting of the American-Society-for-Bone-and-Mineral-Research, AMER SOC BONE & MINERAL RES, Montreal, CANADA, pp. S296-S296.
Wang, L, Su, SW, Chan, GS, Celler, BG, Cheng, TM & Savkin, AV 2008, 'Nonlinear modeling of cardiovascular response to exercise', The First International Conference on Bio-inspired Systems and Signal Processing, International Conference on Bio-inspired Systems and Signal Processing, Institute for Systems and Technologies of Information, Madeira, Portugal, pp. 40-46.
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Yang, F & Mohan, AS 2008, 'Ultra wideband Microwave Imaging and Localization for Breast Cancer', APMC: 2008 ASIA PACIFIC MICROWAVE CONFERENCE (APMC 2008), VOLS 1-5, Asis Pacific Microwave Conference (APMC 2008), IEEE, Hong Kong, PEOPLES R CHINA, pp. 498-501.
Yang, F & Sanagavarapu, AM 2008, 'Ultra wideband Microwave Imaging and Localization for Breast Cancer', Asia-Pacific Microwave Conference, 2008. APMC 2008., Asia-Pacific Microwave Conference, IEEE, Hong Kong, pp. 1-4.
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In this paper, we demonstrate that SCB combined with TOA could give some reasonable results for imaging and localisation of breast cancer. The results are based on the ideal case; however it provided a direction for future improvements. In future, we aim to improve and extend our technique to a more realistic model.
Yeung, CW, Ling, SH, Chan, YH & Leung, FHF 2008, 'Restoration of Half-toned Color-Quantized Images using Particle Swarm Optimization with Wavelet Mutation', 2008 IEEE REGION 10 CONFERENCE: TENCON 2008, VOLS 1-4, IEEE Region 10 Conference (TENCON 2008), IEEE, Hyderabad, INDIA, pp. 1844-+.
Zhang, Y, Natkunarajah, R, Su, SW & Nguyen, J 2008, 'Model Predictive Controller Design for Static Var Compensator', 8th Asia-Pacific Conference on Control and Measurement, Asia-Pacific Conference on Control and Measurement, Nanjing University of Aeronautics & Astronautics, Harbin, P.R.China, pp. 100-104.
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