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Articles 1171 - 1200 of 2377
Full-Text Articles in Physical Sciences and Mathematics
Small Area Estimation Using A Nonparametric Model-Based Direct Estimator, Raymond Chambers, Nicola Salvati, M. Giovanna Ranalli, Hukum Chandra
Small Area Estimation Using A Nonparametric Model-Based Direct Estimator, Raymond Chambers, Nicola Salvati, M. Giovanna Ranalli, Hukum Chandra
Dr Raymond Chambers
Nonparametric regression is widely used as a method of characterizing a non-linearrelationship between a variable of interest and a set of covariates. Practical application ofnonparametric regression methods in the field of small area estimation is fairly recent,and has so far focussed on the use of empirical best linear unbiased prediction under amodel that combines a penalized spline (p-spline) fit and random area effects. The conceptof model-based direct estimation is used to develop an alternative nonparametric approachto estimation of a small area mean. The suggested estimator is a weighted average of thesample values from the area, with weights derived from a …
Regression Analysis Under Incomplete Linkage, Gunky Kim, Raymond Chambers
Regression Analysis Under Incomplete Linkage, Gunky Kim, Raymond Chambers
Dr Raymond Chambers
Most probability-based methods used to link records from two distinct data sets corresponding to the same target population do not lead to perfect linkage, i.e. there are linkage errors in the merged data. Further, the linkage is often incomplete, in the sense that many records in the two data sets remain unmatched at the completion of the linkage process. This paper introduces methods that correct for the biases due to linkage errors and incomplete linkage when carrying out regression analysis using linked data. In particular, it focuses on the case where one of the linked data sets is a sample …
Regression Analysis Under Probabilistic Multi-Linkage, Gunky Kim, Raymond Chambers
Regression Analysis Under Probabilistic Multi-Linkage, Gunky Kim, Raymond Chambers
Dr Raymond Chambers
"Linkage errors can occur when probability-based methods are used to link records from two distinct data sets corresponding to the same target population. Current approaches to modifying standard methods of regression analysis to allow for these errors only deal with the case of two linked data sets and assume that the linkage process is complete, that is, all records on the two data sets are linked. This study extends these ideas to accommodate the situation when more than two data sets are probabilistically linked and the linkage is incomplete."
Improving Promoter Prediction For The Nnpp2.2 Algorithm: A Case Study Using Escherichia Coli Dna Sequences, Ren Zhang, Alexandra Burden, Yan-Xia Lin
Improving Promoter Prediction For The Nnpp2.2 Algorithm: A Case Study Using Escherichia Coli Dna Sequences, Ren Zhang, Alexandra Burden, Yan-Xia Lin
Alexandra Burden, Lecturer, School of Mathematics and Applied Statistics, Faculty of Informatics
No abstract provided.
Digital Signal Processing And Digital System Design Using Discrete Cosine Transform [Student Course], Tseng Chia-Jeng, Maurice Aburdene
Digital Signal Processing And Digital System Design Using Discrete Cosine Transform [Student Course], Tseng Chia-Jeng, Maurice Aburdene
Maurice Aburdene
The discrete cosine transform (DCT) is an important functional block for image processing applications. The implementation of a DCT has been viewed as a specialized research task. We apply a micro-architecture based methodology to the hardware implementation of an efficient DCT algorithm in a digital design course. Several circuit optimization and design space exploration techniques at the register-transfer and logic levels are introduced in class for generating the final design. The students not only learn how the algorithm can be implemented, but also receive insights about how other signal processing algorithms can be translated into a hardware implementation. Since signal …
Efficient Computation Of Discrete Polynomial Transforms, Maurice Aburdene, Xie Jin, R. Kozick
Efficient Computation Of Discrete Polynomial Transforms, Maurice Aburdene, Xie Jin, R. Kozick
Maurice Aburdene
This letter presents a new recursive method for computing discrete polynomial transforms. The method is shown for forward and inverse transforms of the Hermite, binomial, and Laguerre transforms. The recursive flow diagrams require only 2 additions, 2( +1) memory units, and +1multipliers for the +1-point Hermite and binomial transforms. The recursive flow diagram for the +1-point Laguerre transform requires 2 additions, 2( +1) memory units, and 2( +1) multipliers. The transform computation time for all of these transforms is ( )
Computation Of Discrete Cosine Transform Using Clenshaw's Recurence Formula, Maurice Aburdene, Zheng Jianqing, R. Kozick
Computation Of Discrete Cosine Transform Using Clenshaw's Recurence Formula, Maurice Aburdene, Zheng Jianqing, R. Kozick
Maurice Aburdene
Clenshaw’s recurrenee formula is used to derive recursive algorithms for the discrete cosine transform @CT) and the inverse discrete cosine transform (IDCT). The recursive DCT algorithm presented here requires one fewer delay element per coefficient and one fewer multiply operation per coeflident compared with two recently proposed methods. Clenshaw’s recurrence formula provides a unified development for the recursive DCT and IDCT algorithms. The M v e al gorithms apply to arbitrary lengtb algorithms and are appropriate for VLSI implementation.
Integrated Engineering Workstations In Electrical Engineering Laboratories, Maurice Aburdene, M. El-Sharkawy
Integrated Engineering Workstations In Electrical Engineering Laboratories, Maurice Aburdene, M. El-Sharkawy
Maurice Aburdene
This paper provides a description of integrated engineering workstations (IEW’s) used in undergraduate electrical engineering laboratories. The IEW’s are used for the design, analysis, and testing of engineering systems. Examples of laboratory experiments and software programs are presented.
Variation Of Vector Quantisation And Speech Waveform Coding, A. Nandi, Maurice Aburdene, A. Constantinides, I. Dologlou
Variation Of Vector Quantisation And Speech Waveform Coding, A. Nandi, Maurice Aburdene, A. Constantinides, I. Dologlou
Maurice Aburdene
A new idea for waveform coding using vector quantisation (VQ) is introduced. This idea makes it possible to deal with codevectors much larger than before for a fixed bit per sample rate. Also a solution to the matching problem (inherent in the present context) in the &-norm describing a measure of neamess is presented. The overall computational complexity of this solution is O(n3 log, n). Sample results are presented to demonstrate the advantage of using this technique in the context of coding of speech waveforms.
Differential Block Coding Of Bilevel Images, G. Robertson, Maurice Aburdene, R. Kozick
Differential Block Coding Of Bilevel Images, G. Robertson, Maurice Aburdene, R. Kozick
Maurice Aburdene
Abstract- In this correspondence, a simple one-dimensional (1-D) differencing operation is applied to bilevel images prior to block coding to produce a sparse binary image that can be encoded efficiently using any of a number of well-known techniques. The difference image can be encoded more efficiently than the original bilevel image whenever the average run length of black pixels in the original image is greater than two. Compression is achieved because the correlation between adjacent pixels is reduced compared with the original image. The encoding/decoding operations are described and compression performance is presented for a set of standard bilevel images.
A Short Length Window-Based Method For Islanding Detection In Distributed Generation, Mollah Alam, Kashem Muttaqi, Abdesselam Bouzerdoum
A Short Length Window-Based Method For Islanding Detection In Distributed Generation, Mollah Alam, Kashem Muttaqi, Abdesselam Bouzerdoum
Professor Salim Bouzerdoum
Distributed generation (DG) has recently drawn the interest to meet the increased load demand with minimum investment. But cohesive operation of these DG sources, in a grid-connected environment, gives rise to several issues during abnormal conditions of the utility system. This paper addresses the detection method of one such crucial event which is “islanding”. A short length window based Mahalanobis Distance method has been proposed in this paper to detect islanding. A trade-off between computational time and accuracy has been maintained to make it reliable and acceptable. In this method, network parameters such as rate of change of frequency (ROCOF), …
Automatic Classification Of Human Motions Using Doppler Radar, Jingli Li, Son Lam Phung, Fok Hing Chi Tivive, Abdesselam Bouzerdoum
Automatic Classification Of Human Motions Using Doppler Radar, Jingli Li, Son Lam Phung, Fok Hing Chi Tivive, Abdesselam Bouzerdoum
Professor Salim Bouzerdoum
This paper presents a new approach to classify human motions using a Doppler radar for applications in security and surveillance. Traditionally, the Doppler radar is an effective tool for detecting the position and velocity of a moving target, even in adverse weather conditions and from a long range. In this paper, we are interested in using the Doppler radar to recognize the micro-motions exhibited by people. In the proposed approach, a frequency modulated continuous wave radar is applied to scan the target, and the short-time Fourier transform is used to convert the radar signal into spectrogram. Then, the new two-directional, …
A Gaussian-Rayleigh Mixture Modeling Approach For Through-The-Wall Radar Image Segmentation, Cher Hau Seng, Abdesselam Bouzerdoum, Moeness Amin, F Ahmad
A Gaussian-Rayleigh Mixture Modeling Approach For Through-The-Wall Radar Image Segmentation, Cher Hau Seng, Abdesselam Bouzerdoum, Moeness Amin, F Ahmad
Professor Salim Bouzerdoum
In this paper, we propose a Gausssian-Rayleigh mixture modeling approach to segment indoor radar images in urban sensing applications. The performance of the proposed method is evaluated on real 2D polarimetric data. Experimental results show that the proposed method enhances image quality by distinguishing between target and clutter regions. The proposed method is also compared to an existing Neyman-Pearson (NP) target detector that has been recently devised for through-the-wall radar imaging. Performance evaluation of both methods shows that the proposed method outperforms the NP detector in enhancing the input images.
Adaptive Regularization For Multiple Image Restoration Using An Extended Total Variations Approach, Matthew Kitchener, Abdesselam Bouzerdoum, Son Lam Phung
Adaptive Regularization For Multiple Image Restoration Using An Extended Total Variations Approach, Matthew Kitchener, Abdesselam Bouzerdoum, Son Lam Phung
Professor Salim Bouzerdoum
In this paper a Variational Inequality method for multiple in- put, multiple output image restoration is presented using an extended Total Variations (TV) regularizer. This approach calculates an adaptive regularization parameter for each image based on their respective degradations. The proposed ex- tended Total Variations regularizer combines both intra-image and inter-image pixel information for improved restoration performance. Hyperparameters for controlling this new TV measure are calculated using a Bayesian joint maximum a posteriori approach.
Automatic Left Ventricle Detection In Echocardiographic Images For Deformable Contour Initialization, Cher Hau Seng, Ramazan Demirli, Moeness G. Amin, Jason L. Seachrist, Abdesselam Bouzerdoum
Automatic Left Ventricle Detection In Echocardiographic Images For Deformable Contour Initialization, Cher Hau Seng, Ramazan Demirli, Moeness G. Amin, Jason L. Seachrist, Abdesselam Bouzerdoum
Professor Salim Bouzerdoum
The accurate left ventricular boundary detection in echocardiographic images allow cardiologists to study and assess cardiomyopathy in patients. Due to the tedious and time consuming manner of manually tracing the borders, deformable models are generally used for left ventricle segmentations. However, most deformable models require a good initialization, which is usually outlined manually by the user. In this paper, we propose an automated left ventricle detection method for two-dimensional echocardiographic images that could serve as an initialization for deformable models. The proposed approach consists of pre-processing and post-processing stages, coupled with the watershed segmentation. The pre-processing stage enhances the overall …
A Vhdl Design For Pca, Abdesselam Bouzerdoum, Muthana Hamd
A Vhdl Design For Pca, Abdesselam Bouzerdoum, Muthana Hamd
Professor Salim Bouzerdoum
No abstract provided.
Person-Level And Household-Level Regression Estimation In Household Surveys, David Steel, Robert Clark
Person-Level And Household-Level Regression Estimation In Household Surveys, David Steel, Robert Clark
Associate Professor Robert Graham Clark
A common class of survey designs involves selecting all people within selected households. Generalized regressionestimators can be calculated at either the person or household level. Implementing the estimator at the household level has the convenience of equal estimation weights for people within households. In this article the two approaches are compared theoretically and empirically for the case of simple random sampling of households and selection of all persons in each selected household. We find that the household level approach is theoretically more efficient in large samples and any empirical inefficiency in small samples is limited.
Oxygen Exchange During The Reaction Of Pocl3 And Water, Robert Clark, Robert Morrison, Andrew Thomas, Rebeca Alvarez, Paul Milham
Oxygen Exchange During The Reaction Of Pocl3 And Water, Robert Clark, Robert Morrison, Andrew Thomas, Rebeca Alvarez, Paul Milham
Associate Professor Robert Graham Clark
To investigate O exchange during the reaction of POCl3 and water, natural abundance POCl3 was reacted with water highly enriched in 18O, and the resulting H3PO4 was isolated as KH2PO4. This reaction was conducted with and without tetrahydrofuran (THF) as a solvent, and was controlled in THF and violent in its absence. Approximately 5 x 10-4M aqueous solutions of the KH2PO4 were analyzed using electrospray ionization mass spectrometry, to estimate the proportions of the mass-clumped 16,17,18O isotope analogues of [H2PO4] -. During analysis, ~29% of [H2PO4] - dehydrated to [PO3]-, for which the proportions of the O isotope analogues were …
Robust Resampling Confidence Intervals For Empirical Variograms, Robert Clark, Samuel Allingham
Robust Resampling Confidence Intervals For Empirical Variograms, Robert Clark, Samuel Allingham
Associate Professor Robert Graham Clark
The variogram function is an important measure of the spatial dependenciesof a geostatistical or other spatial dataset. It plays a central role in kriging, designingspatial studies, and in understanding the spatial properties of geological andenvironmental phenomena. It is therefore important to understand the variability attachedto estimates of the variogram. Existing methods for constructing confidenceintervals around the empirical variogram either rely on strong assumptions, such asnormality or known variogram function, or are based on resampling blocks and subjectto edge effect biases. This paper proposes two new procedures for addressingthese concerns: a quasi-block-bootstrap and a quasi-block-jackknife. The new methodsare based on transforming …
Paper-Like Free-Standing Polypyrrole And Polypyrrole-Lifepo4 Composite Films For Flexible And Bendable Rechargeable Battery, Jun Chen, Sau Yen Chew, S. Dou, Jiazhao Wang, Guoxiu Wang, Hua Liu, Konstantin Konstantinov, Jian Wu, Shulei Chou
Paper-Like Free-Standing Polypyrrole And Polypyrrole-Lifepo4 Composite Films For Flexible And Bendable Rechargeable Battery, Jun Chen, Sau Yen Chew, S. Dou, Jiazhao Wang, Guoxiu Wang, Hua Liu, Konstantin Konstantinov, Jian Wu, Shulei Chou
Shulei Chou
Highly flexible, paper-like, free-standing polypyrrole and polypyrrole-LiFePO4 composite films were prepared using the electropolymerization method. The films are soft, lightweight, mechanically robust and highly electrically conductivity. The electrochemical performance of the free-standing pure PPy electrode was improved by incorporating the most promising cathode material, LiFePO4, into the PPy films. The cell with PPy-LiFePO4 composite film had a higher discharge capacity beyond 50 cycles (80 mA h/g) than that of the cell with pure PPy (60 mA h/g). The free-standing films can be used as electrode materials to satisfy the new market demand for flexible and bendable batteries that are suitable …
Sulfur-Mesoporous Carbon Composites In Conjunction With A Novel Ionic Liquid Electrolyte For Lithium Rechargeable Batteries, Jun Chen, Syed Ashraf, Sau Yen Chew, See How Ng, David Wexler, Jiazhao Wang, Hua Liu, Zhengwei Zhao, Shulei Chou
Sulfur-Mesoporous Carbon Composites In Conjunction With A Novel Ionic Liquid Electrolyte For Lithium Rechargeable Batteries, Jun Chen, Syed Ashraf, Sau Yen Chew, See How Ng, David Wexler, Jiazhao Wang, Hua Liu, Zhengwei Zhao, Shulei Chou
Shulei Chou
Sulfur coated mesoporous carbon (S-C) composites have been synthesized and physically characterized by scanning electron microscopy, transmission electron microscopy, Raman spectroscopy, and thermogravimetric analysis. Firstly, the electrochemical properties of the S-C composite cathode materials were tested in a conventional electrolyte consisting of 1 mol/L lithium bistrifluormethanesulfonimidate in poly(ethylene glycol) dimethyl ether to compare them with pure sulphur electrode. The capacity and cyclic stability of the S-C composite were improved. Then the S-C composites were tested in a novel ionic liquid electrolyte consisting of 1-ethyl-3-methylimidazolium bis(trifluromethanesulfonyl)imide and lithium
Flexible Free-Standing Carbon Nanotube Films For Model Lithium-Ion Batteries, Jun Chen, Sau Yen Chew, See How Ng, Jiazhao Wang, Hua Liu, P Novak, F Krumeich, Shulei Chou
Flexible Free-Standing Carbon Nanotube Films For Model Lithium-Ion Batteries, Jun Chen, Sau Yen Chew, See How Ng, Jiazhao Wang, Hua Liu, P Novak, F Krumeich, Shulei Chou
Shulei Chou
No abstract provided.
Financial Trading Systems Using Artificial Neural Networks, Bruce Vanstone, Gavin Finnie
Financial Trading Systems Using Artificial Neural Networks, Bruce Vanstone, Gavin Finnie
Bruce Vanstone
Soft computing represents that area of computing adapted from the physical sciences. Artificial intelligence techniques within this realm attempt to solve problems by applying physical laws and processes. This style of computing is particularly tolerant of imprecision and uncertainty, making the approach attractive to those researching within “noisy” realms, where the signal-to-noise ratio is quite low. Soft computing is normally accepted to include the three key areas of fuzzy logic, artificial neural networks, and probabilistic reasoning (which include genetic algorithms, chaos theory, etc.). The arena of investment trading is one such field where there is an abundance of noisy data. …
U-Pb Zircon Constraints On The Age And Provenance Of The Rocas Verdes Basin Fill, Tierra Del Fuego, Argentina, David Barbeau, David Gombosi, Khandaker Zahid, Michael Bizimis, Nicholas Swanson-Hysell, Victor Valencia, George Gehrels
U-Pb Zircon Constraints On The Age And Provenance Of The Rocas Verdes Basin Fill, Tierra Del Fuego, Argentina, David Barbeau, David Gombosi, Khandaker Zahid, Michael Bizimis, Nicholas Swanson-Hysell, Victor Valencia, George Gehrels
David L Barbeau Jr
The Late Jurassic to Early Cretaceous Rocas Verdes basin constitutes one of the most poorly understood components of the southernmost Andes. As a result, accurate reconstructions and interpretations of deformation associated with the Andean orogeny and the kinematics of Scotia arc development also remain poorly constrained. In this data brief, we report U-Pb zircon ages from sandstones of the Rocas Verdes basin fill and from a crosscutting pluton in the southernmost Andes of Argentine Tierra del Fuego. Detrital samples contain predominant Early to early Middle Cretaceous (circa 130–105 Ma) U-Pb zircon age populations, with very small or single-grain middle Mesozoic …
At The Tone, The Time Will Be... Unknown – A Perspective On The Evolution Of Time In Telecommunications, Robert Iannucci
At The Tone, The Time Will Be... Unknown – A Perspective On The Evolution Of Time In Telecommunications, Robert Iannucci
Robert A Iannucci
No abstract provided.
Possible Room-Temperature Ferromagnetism In Hydrogenated Carbon Nanotubes, Adam Friedman, Hyunkyung Chun, Yung Joon Jung, Don Heiman, Evan Glaser, Latika Menon
Possible Room-Temperature Ferromagnetism In Hydrogenated Carbon Nanotubes, Adam Friedman, Hyunkyung Chun, Yung Joon Jung, Don Heiman, Evan Glaser, Latika Menon
Latika Menon
We find that ferromagnetism can be induced in carbon nanotubes (CNTs) by introducing hydrogen. Multiwalled CNTs grown inside porous alumina templates contain a large density of defects resulting in significant hydrogen uptake when annealed at high temperatures. This hydrogen incorporation produces H-complex and adatom magnetism which generates a sizable ferromagnetic moment and a Curie temperature near TC=1000 K. We studied the conditions for the incorporation of hydrogen, the temperature-dependent magnetic behavior, and the dependence of the ferromagnetism on the size of the nanotubes.
Enhancing Location Privacy For Electric Vehicles (At The Right Time), J Liu, Man Ho Allen Au, Willy Susilo, Jianying Zhou
Enhancing Location Privacy For Electric Vehicles (At The Right Time), J Liu, Man Ho Allen Au, Willy Susilo, Jianying Zhou
Dr Man Ho Allen Au
An electric vehicle is a promising and futuristic automobile propelled by electric motor(s), using electrical energy stored in batteries or another energy storage device. Due to the need of battery recharging, the cars will be required to visit recharging infrastructure very frequently. This may disclose the users' private information, such as their location, which may expose users' privacy. In this paper, we provide mechanisms to enhance location privacy of electric vehicles at the right time, by proposing an anonymous payment system with privacy protection support. Our technique further allows traceability in the case where the cars are stolen.
Perea: Practical Ttp-Free Revocation Of Repeatedly Misbehaving Anonymous Users, Man Ho Au, Patrick Tsang, Apu Kapadia
Perea: Practical Ttp-Free Revocation Of Repeatedly Misbehaving Anonymous Users, Man Ho Au, Patrick Tsang, Apu Kapadia
Dr Man Ho Allen Au
Several anonymous authentication schemes allow servers to revoke a misbehaving user's ability to make future accesses. Traditionally, these schemes have relied on powerful Trusted Third Parties (TTPs) capable of deanonymizing (or linking) users' connections. Such TTPs are undesirable because users' anonymity is not guaranteed, and users must trust them to judge misbehaviors fairly. Recent schemes such as Blacklistable Anonymous Credentials (BLAC) and Enhanced Privacy ID (EPID) support "privacy-enhanced revocation"-servers can revoke misbehaving users without a TTP's involvement, and without learning the revoked users'identities. In BLAC and EPID, however, the computation required for authentication at the server is linear in the …
Server-Aided Signatures Verification Secure Against Collusion Attack, Willy Susilo, Sherman Chow, Man Ho Allen Au
Server-Aided Signatures Verification Secure Against Collusion Attack, Willy Susilo, Sherman Chow, Man Ho Allen Au
Dr Man Ho Allen Au
Wireless handheld devices which support e-mail and web browsing are increasingly popular. The authenticity of the information received is important, especially for business uses. In server-aided verification (SAV), a substantial part of the verification computation can be offloaded to a powerful but possibly untrusted server. This allows resource-constrained devices to enjoy the security guarantees provided by cryptographic schemes, such as pairing-based signatures, which may be too heavyweight to verify otherwise.To gain unfair advantage, an adversary may bribe the server to launch various kinds of attacks --- to convince that an invalid signature held by a client is a valid one …
Efficient Escrow-Free Identity-Based Signature, Yunmei Zhang, J Liu, Xinyi Huang, Man Ho Allen Au, Willy Susilo
Efficient Escrow-Free Identity-Based Signature, Yunmei Zhang, J Liu, Xinyi Huang, Man Ho Allen Au, Willy Susilo
Dr Man Ho Allen Au
The notion of identity-based signature scheme IBS has been proven useful in some scenarios where relying on the validity of the certificates is impractical. Nevertheless, one remaining inherent problem that hinders the adoption of this cryptographic primitive in practice is due to the key escrow problem, where the private key generator PKG can always impersonate the user in the system. In 2010, Yuen et al. proposed the notion of IBS that does not suffer from the key escrow problem. Nevertheless, their approach relies on the judge who will later blame the malicious PKG when such a dispute occurs, assuming that …