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Articles 931 - 960 of 2936
Full-Text Articles in Social and Behavioral Sciences
Magnetoelectric Cofe2o4/Polyvinylidene Fluoride Electrospun Nanofibres, R Goncalves, P M. Martins, X Moya, M Ghidini, Vitor Sencadas, Gabriela Botelho, N D. Mathur, Senentxu Lanceros-Méndez
Magnetoelectric Cofe2o4/Polyvinylidene Fluoride Electrospun Nanofibres, R Goncalves, P M. Martins, X Moya, M Ghidini, Vitor Sencadas, Gabriela Botelho, N D. Mathur, Senentxu Lanceros-Méndez
Faculty of Engineering and Information Sciences - Papers: Part A
Magnetoelectric 0-1 composites comprising CoFe2O4 (CFO) nanoparticles in a polyvinylidene fluoride (PVDF) polymer-fibre matrix have been prepared by electrospinning. The average diameter of the electrospun composite fibres is ∼325 nm, independent of the nanoparticle content, and the amount of the crystalline polar β phase is strongly enhanced when compared to pure PVDF polymer fibres. The piezoelectric response of these electroactive nanofibres is modified by an applied magnetic field, thus evidencing the magnetoelectric character of the CFO/PVDF 0-1 composites.
Influence Of Oxygen Plasma Treatment Parameters On Poly(Vinylidene Fluoride) Electrospun Fiber Mats Wettability, Daniela M. Correia, Clarisse Ribeiro, Vitor Sencadas, Gabriela Botelho, S A. Carabineiro, J L. Gomez Ribelles, Senentxu Lanceros-Méndez
Influence Of Oxygen Plasma Treatment Parameters On Poly(Vinylidene Fluoride) Electrospun Fiber Mats Wettability, Daniela M. Correia, Clarisse Ribeiro, Vitor Sencadas, Gabriela Botelho, S A. Carabineiro, J L. Gomez Ribelles, Senentxu Lanceros-Méndez
Faculty of Engineering and Information Sciences - Papers: Part A
Electrospun poly(vinylidene fluoride) (PVDF) fiber mats found applications in an increasing number of areas, such as battery separators, filtration and detection membranes, due to their excellent properties. However, there are limitations due to the hydrophobic nature and low surface energy of PVDF. In this work, oxygen plasma treatment has been applied in order to modify the surface wettability of PVDF fiber mats and superhydrophilic PVDF electrospun membranes have been obtained. Further, plasma treatment does not significantly influences fiber average size (~400 ± 200 nm), morphology, electroactive B-phase content (~80-85%) or the degree of crystallinity (Xc of 42 ± 2%), allowing …
Analysis On The Transient Of A Self-Mixing Interferometry Sensing System, Yuanlong Fan, Bin Liu, Yanguang Yu, Jiangtao Xi, Qinghua Guo, Jun Tong
Analysis On The Transient Of A Self-Mixing Interferometry Sensing System, Yuanlong Fan, Bin Liu, Yanguang Yu, Jiangtao Xi, Qinghua Guo, Jun Tong
Faculty of Engineering and Information Sciences - Papers: Part A
The transient of a self-mixing interferometry (SMI) sensing system is investigated in this paper by solving the well known Lang and Kobayashi (LK) equations. Specifically, the influence of two important system parameters, i.e., the feedback level factor and the linewidth enhancement factor, on the transient is discussed, showing that the decay time and the oscillation period of the transient respectively increases and decreases with the increase of the feedback level factor, and both increase with the increase of linewidth enhancement factor. The results presented in this paper are useful for designing a stable SMI system.
Progress In Geant4 Electromagnetic Physics Modelling And Validation, J Apostolakis, M Asai, A Bagulya, Jeremy M. C Brown, H Burkhardt, N Chikuma, M A. Cortes-Giraldo, S Elles, V Grichine, Susanna Guatelli, Sebastian Incerti, V N. Ivanchenko, J Jacquemier, O Kadri, M Maire, L Pandola, D Sawkey, T Toshito, L Urban, T T Yamashita
Progress In Geant4 Electromagnetic Physics Modelling And Validation, J Apostolakis, M Asai, A Bagulya, Jeremy M. C Brown, H Burkhardt, N Chikuma, M A. Cortes-Giraldo, S Elles, V Grichine, Susanna Guatelli, Sebastian Incerti, V N. Ivanchenko, J Jacquemier, O Kadri, M Maire, L Pandola, D Sawkey, T Toshito, L Urban, T T Yamashita
Faculty of Engineering and Information Sciences - Papers: Part A
In this work we report on recent improvements in the electromagnetic (EM) physics models of Geant4 and new validations of EM physics. Improvements have been made in models of the photoelectric effect, Compton scattering, gamma conversion to electron and muon pairs, fluctuations of energy loss, multiple scattering, synchrotron radiation, and high energy positron annihilation. The results of these developments are included in the new Geant4 version 10.1 and in patches to previous versions 9.6 and 10.0 that are planned to be used for production for run-2 at LHC. The Geant4 validation suite for EM physics has been extended and new …
Under Sleeper Pads: Field Investigation Of Their Role In Detrimental Impact Mitigation, Sakdirat Kaewunruen, Alex M. Remennikov
Under Sleeper Pads: Field Investigation Of Their Role In Detrimental Impact Mitigation, Sakdirat Kaewunruen, Alex M. Remennikov
Faculty of Engineering and Information Sciences - Papers: Part A
Under sleeper pads (USPs) are the component installed under the concrete sleepers generally to improve railway track resilience. Initial development in Europe, particularly in Austria, has encouraged the adoption of the component around the world. In practice, the component has commonly been used in certain applications, mainly to moderate track stiffness in special locations such as turnouts, crossings, and level crossing. In heavy haul operation, the heavier wagons result in sturdier bogie structures, higher unsprung mass, and then higher level of wheel-rail interaction forces. Accordingly, the application of USPs to mitigate detrimental impact load consequence on track structure is presented …
A Hybrid Dem-Fdm Approach For Load-Deformation Analysis Of Stone Columns, Ngoc Trung Ngo, Buddhima Indraratna, Cholachat Rujikiatkamjorn
A Hybrid Dem-Fdm Approach For Load-Deformation Analysis Of Stone Columns, Ngoc Trung Ngo, Buddhima Indraratna, Cholachat Rujikiatkamjorn
Faculty of Engineering and Information Sciences - Papers: Part A
Stone columns are being increasingly used as a cost-effective and environmentally friendly method for improvement of weak soils. Deformation behavior of stone columns reinforced soft clay has been the subject of an extensive number of experimental and modelling studies during last decades. Continuum-based numerical models provide valuable insights into the settlement, lateral deformation, stress and strain-rate dependent behavior of stone column at macroscopic scale. However, owing to the discrete nature of stone columns, which are comprised of granular material, cannot be properly modelled by the continuum methods. This paper presents a coupled micro-macro method for numerically simulating a single stone …
Briefing: Effect Of Drain Installation Patterns On Rate Of Consolidation, Cholachat Rujikiatkamjorn, Buddhima Indraratna
Briefing: Effect Of Drain Installation Patterns On Rate Of Consolidation, Cholachat Rujikiatkamjorn, Buddhima Indraratna
Faculty of Engineering and Information Sciences - Papers: Part A
Prefabricated vertical drains (PVDs) are employed to accelerate consolidation by decreasing the drainage path length. In the present study, using analytical solutions, an attempt was made to evaluate and quantify the effectiveness of two non-conventional PVD installation patterns, involving a parallel drain wall compared with a circular drain ring pattern, in contrast to conventional PVD installation (square or triangular patterns). The governing equations are based on the equal strain theory including the smear effect, and they provide a relative comparison between the two newly proposed installation patterns and the conventional square PVD grid, in terms of both the consolidation time …
A Data-Driven Approach For Assessing Ice-Sheet Mass Balance In Space And Time, Andrew Zammit-Mangion, Jonathan L. Bamber, Nana W. Schoen, Jonathon C. Rougier
A Data-Driven Approach For Assessing Ice-Sheet Mass Balance In Space And Time, Andrew Zammit-Mangion, Jonathan L. Bamber, Nana W. Schoen, Jonathon C. Rougier
Faculty of Engineering and Information Sciences - Papers: Part A
Combinations of various numerical models and datasets with diverse observation characteristics have been used to assess the mass evolution of ice sheets. As a consequence, a wide range of estimates have been produced using markedly different methodologies, data, approximation methods and model assumptions. Current attempts to reconcile these estimates using simple combination methods are unsatisfactory, as common sources of errors across different methodologies may not be accurately quantified (e.g. systematic biases in models). Here we provide a general approach which deals with this issue by considering all data sources simultaneously, and, crucially, by reducing the dependence on numerical models. The …
Model-Assisted Optimal Allocation For Planned Domains Using Composite Estimation, Wilford B. Molefe, Robert Graham Clark
Model-Assisted Optimal Allocation For Planned Domains Using Composite Estimation, Wilford B. Molefe, Robert Graham Clark
Faculty of Engineering and Information Sciences - Papers: Part A
This paper develops allocation methods for stratified sample surveys where composite small area estimators are a priority, and areas are used as strata. Longford (2006) proposed an objective criterion for this situation, based on a weighted combination of the mean squared errors of small area means and a grand mean. Here, we redefine this approach within a model-assisted framework, allowing regressor variables and a more natural interpretation of results using an intra-class correlation parameter. We also consider several uses of power allocation, and allow the placing of other constraints such as maximum relative root mean squared errors for stratum estimators. …
Spatio-Temporal Bivariate Statistical Models For Atmospheric Trace-Gas Inversion, Andrew Zammit-Mangion, Noel Cressie, Anita L. Ganesan, Simon J. O'Doherty, Alistair J. Manning
Spatio-Temporal Bivariate Statistical Models For Atmospheric Trace-Gas Inversion, Andrew Zammit-Mangion, Noel Cressie, Anita L. Ganesan, Simon J. O'Doherty, Alistair J. Manning
Faculty of Engineering and Information Sciences - Papers: Part A
Atmospheric trace-gas inversion refers to any technique used to predict spatial and temporal fluxes using mole-fraction measurements and atmospheric simulations obtained from computer models. Studies to date are most often of a data-assimilation flavour, which implicitly consider univariate statistical models with the flux as the variate of interest. This univariate approach typically assumes that the flux field is either a spatially correlated Gaussian process or a spatially uncorrelated non-Gaussian process with prior expectation fixed using flux inventories (e.g., NAEI or EDGAR). Here, we extend this approach in three ways. First, we develop a bivariate model for the mole-fraction field and …
A Big-Data Processing Framework For Uncertainties In Transportation Data, Jie Yang, Jun Ma
A Big-Data Processing Framework For Uncertainties In Transportation Data, Jie Yang, Jun Ma
Faculty of Engineering and Information Sciences - Papers: Part A
Transportation infrastructure takes a primary role in urban development planning. To better facilitate or understand the infrastructure status and demands, a huge amount of transportation data such as traffic flow counts has been collected from numerous transportation monitoring systems. Making full use of harvested data samples to discover important patterns has become an increasingly appealing research topic, in which a sophisticated and uncertainty processing framework is required. In this paper, a big-data processing framework is introduced to analyse the transportation data, particularly taking the classification problem of the parking occupation status as an illustrative example. Three modules are implemented to …
Workshop Synthesis: Built Environment And Contextual Variables, Kelly Clifton, Pascal Perez
Workshop Synthesis: Built Environment And Contextual Variables, Kelly Clifton, Pascal Perez
Faculty of Engineering and Information Sciences - Papers: Part A
This two-day workshop focused on the important issue of how to define, convey and understand the built environment context as it relates to transport decisions. The field has grown tremendously over the last few decades, fueled in part by the increasing availability of archived spatial data about the environment and geo-referencing activity and travel patterns. But there are persistent issues particularly with inconsistencies in data format or availability across locations that hamper efforts to advance our understanding across regions. Further, there are new challenges in how we communicate context to survey respondents, particularly in stated preference surveys. Much of the …
Software Defined Intelligent Building, Rui Xue, Xin Huang, Jie Zhang, Yulin Lu, Ge Wu, Zheng Yan
Software Defined Intelligent Building, Rui Xue, Xin Huang, Jie Zhang, Yulin Lu, Ge Wu, Zheng Yan
Faculty of Engineering and Information Sciences - Papers: Part A
The networks of intelligent building are usually consist of a great number of smart devices. Since many smart devices only support on-site configuration and upgrade, and communication between devices could be observed and even altered by attackers, efficiency and security are two key concerns in maintaining and managing the devices used in intelligent building networks. In this paper, the authors apply the technology of software defined networking to satisfy the requirement for efficiency in intelligent building networks. More specific, a protocol stack in smart devices that support OpenFlow is designed. In addition, the authors designed the lightweight security mechanism with …
Applications Of Magnetorheological Technology To Semiactive Vibration Control Systems, Miao Yu, Seung-Bok Choi, Norman M. Wereley, Weihua Li, Jeong-Hoi Koo, Xinchun Guan
Applications Of Magnetorheological Technology To Semiactive Vibration Control Systems, Miao Yu, Seung-Bok Choi, Norman M. Wereley, Weihua Li, Jeong-Hoi Koo, Xinchun Guan
Faculty of Engineering and Information Sciences - Papers: Part A
Semiactive vibration control systems possess both the simplicity and inherent reliability of passive systems while maintaining the adaptability of active vibration control systems integrated with an appropriate control algorithm. One of the recent and promising technologies in semiactive vibration control is to utilize magnetorheological (MR) fluids (MRFs) and MR elastomers (MREs). The well-known remarkable feature of MR materials is the continuous controllability of stiffness and damping properties under external magnetic field. The unique controllable characteristic of MR materials has catalyzed comprehensive research and development focusing on vibration control systems including vehicle dampers, engine mounts, adaptive tuned vibration absorber, and seismic …
Ground Improvement Methods For Port Infrastructure Expansion, B Indraratna, A Heitor, C Rujikiatkamjorn
Ground Improvement Methods For Port Infrastructure Expansion, B Indraratna, A Heitor, C Rujikiatkamjorn
Faculty of Engineering and Information Sciences - Papers: Part A
The demand for reliable and efficient transport infrastructure is vital to sustain Australia's economic growth and quality of life. Due to the forecasted increase in the freight trade demand, existing Ports will need to undergo major expansion, e.g. for accommodating berths suitable for bulk cargoes and container handling. To maximise the use of available land, typically port expansions projects involve land reclamation which includes the use of dredged materials (e.g. Port of Brisbane) or other granular fill materials locally available (e.g. Port Kembla). In both situations, ground improvement methods need to be implemented to ensure the fills and the foundations …
Modelling Of Gas And Ventilation Flow Characteristics At An Underground In-Seam Drilling Site, Ting Ren, Zhongwei Wang, Yuanping Cheng, Jian Zhang, Frank Hungerford
Modelling Of Gas And Ventilation Flow Characteristics At An Underground In-Seam Drilling Site, Ting Ren, Zhongwei Wang, Yuanping Cheng, Jian Zhang, Frank Hungerford
Faculty of Engineering and Information Sciences - Papers: Part A
Gas management has always been a challenging issue for mine operators, and this is becoming increasingly significant as the mining depth increases. Gas drainage sites or stubs are established to drill in-seam boreholes for pre-draining coal seam gas prior to gateroad development and longwall mining. The management of ventilation and gas emissions within the drainage site becomes a critical component of mine safety during gas drainage process. In this study, a three-dimensional (3D) computational fluid dynamics (CFD) model was developed based on an Australian in-seam drilling site to investigate the aerodynamics of seam gas (methane and carbon dioxide) emitting from …
Geometrical Method For Evaluating The Internal Instability Of Granular Filters Based On Constriction Size Distribution, Buddhima Indraratna, Jahanzaib Israr, Cholachat Rujikiatkamjorn
Geometrical Method For Evaluating The Internal Instability Of Granular Filters Based On Constriction Size Distribution, Buddhima Indraratna, Jahanzaib Israr, Cholachat Rujikiatkamjorn
Faculty of Engineering and Information Sciences - Papers: Part A
Internal instability occurs when the finer fraction from a well-graded granular soil escapes with the infiltrates, rendering a filter ineffective. Thus far, numerous particle size as well as constriction size distribution–based geometrical methods have been proposed to assess potential internal instability. This paper reports the results from hydraulic tests performed on six granular soils (five well-graded sand-gravel mixtures and medium sand) at different uniformity coefficients and compacted at varying relative density. The study facilitated an objective evaluation of some of the well known published methods, leading to a more realistic interpretation of filtration data based on a revised technique, which …
Absent Multiple Kernel Learning, Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang
Absent Multiple Kernel Learning, Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang
Faculty of Engineering and Information Sciences - Papers: Part A
Multiple kernel learning (MKL) optimally combines the multiple channels of each sample to improve classification performance. However, existing MKL algorithms cannot effectively handle the situation where some channels are missing, which is common in practical applications. This paper proposes an absent MKL (AMKL) algorithm to address this issue. Different from existing approaches where missing channels are firstly imputed and then a standard MKL algorithm is deployed on the imputed data, our algorithm directly classifies each sample with its observed channels. In specific, we define a margin for each sample in its own relevant space, which corresponds to the observed channels …
Using Hand Tracking And Electro-Tactile Stimulation To Facilitate Learning Touch Typing, Daniel S. Pamungkas, Koren Ward
Using Hand Tracking And Electro-Tactile Stimulation To Facilitate Learning Touch Typing, Daniel S. Pamungkas, Koren Ward
Faculty of Engineering and Information Sciences - Papers: Part A
Learning to touch-type can be a more difficult task when the user has acquired incorrect or bad typing practices after many years of ad-hock ke\ boarding and computer use. In this paper we introduce a novel training aid to facilitate the learning of touch-typing, particularly the learning of the correct finger-key associations. Our learning system differs to existing touch-typing tutor applications in that we also monitor the finger positions with a hand motion tracking sensor to check that the correct fingers are being used to press the correct keys. Our system also uses electro-neural finger stimulation to enhance learning of …
Mediated Encryption: Analysis And Design, I Elashry, Y Mu, W Susilo
Mediated Encryption: Analysis And Design, I Elashry, Y Mu, W Susilo
Faculty of Engineering and Information Sciences - Papers: Part A
Boneh, Ding and Tsudik presented identity-based mediated RSA encryption and signature systems in which the users are not allowed to decrypt/sign messages without the authorisation of a security mediator.We show that ID-MRSA is not secure and we present a secure modified version of it which is as efficient as the original system. We also propose a generic mediated encryption that translates any identity based encryption to a mediated version of this IBE. It envelops an IBE encrypted message using a user’s identity into an IBE envelope using the identity of the SEM. We present two security models based on the …
Two-Level Cretan Matrices Constructed Using Sbibd, N A. Balonin, Jennifer Seberry
Two-Level Cretan Matrices Constructed Using Sbibd, N A. Balonin, Jennifer Seberry
Faculty of Engineering and Information Sciences - Papers: Part A
Two-level Cretan matrices are orthogonal matrices with two elements, x and y. At least one element per row and column is 1 and the other element has modulus ≤ 1. These have been studied in the Russian literature for applications in image processing and compression. Cretan matrices have been found by both mathematical and computational methods but this paper concentrates on mathematical solutions for the first time. We give, for the first time, families of Cretan matrices constructed using the incidence matrix of a symmetric balanced incomplete block design and Hadamard related difference sets.
Sensors For Robotics 2015, Aiguo Song, Guangming Song, Daniela Constantinescu, Lei Wang, Quanjun Song
Sensors For Robotics 2015, Aiguo Song, Guangming Song, Daniela Constantinescu, Lei Wang, Quanjun Song
Faculty of Engineering and Information Sciences - Papers: Part A
Robot is currently one of the exciting and fast developing technologies changing the life of human being. It has been widely applied in lots of areas such as industry, agriculture, medicine, transportation, social service, military, space exploration, and undersea exploiting. Increasing attention by robot researchers has been paid to the robot sensor, as a key component of the robot. During the last decade, much effort has been done to develop robot sensors for robot perception, robot control, autonomous robot, human-robot interaction, and so forth. In spite of the large and increasing interest and promising applications, robot sensor design is a …
Simultaneous Solution For Mass Trends On The West Antarctic Ice Sheet, N Schoen, A Zammit-Mangion, J C. Rougier, T Flament, F Remy, S Luthcke, J L. Bamber
Simultaneous Solution For Mass Trends On The West Antarctic Ice Sheet, N Schoen, A Zammit-Mangion, J C. Rougier, T Flament, F Remy, S Luthcke, J L. Bamber
Faculty of Engineering and Information Sciences - Papers: Part A
The Antarctic Ice Sheet is the largest potential source of future sea-level rise. Mass loss has been increasing over the last 2 decades for the West Antarctic Ice Sheet (WAIS) but with significant discrepancies between estimates, especially for the Antarctic Peninsula. Most of these estimates utilise geophysical models to explicitly correct the observations for (unobserved) processes. Systematic errors in these models introduce biases in the results which are difficult to quantify. In this study, we provide a statistically rigorous error-bounded trend estimate of ice mass loss over the WAIS from 2003 to 2009 which is almost entirely data driven. Using …
The Sar Model For Very Large Datasets: A Reduced Rank Approach, Sandy Burden, Noel Cressie, David G. Steel
The Sar Model For Very Large Datasets: A Reduced Rank Approach, Sandy Burden, Noel Cressie, David G. Steel
Faculty of Engineering and Information Sciences - Papers: Part A
The SAR model is widely used in spatial econometrics to model Gaussian processes on a discrete spatial lattice, but for large datasets, fitting it becomes computationally prohibitive, and hence, its usefulness can be limited. A computationally-efficient spatial model is the spatial random effects (SRE) model, and in this article, we calibrate it to the SAR model of interest using a generalisation of the Moran operator that allows for heteroskedasticity and an asymmetric SAR spatial dependence matrix. In general, spatial data have a measurement-error component, which we model, and we use restricted maximum likelihood to estimate the SRE model covariance parameters; …
Simulating Transport And Land Use Interdependencies For Strategic Urban Planning-An Agent Based Modelling Approach, Nam Huynh, Pascal Perez, Matthew Berryman, Johan Barthelemy
Simulating Transport And Land Use Interdependencies For Strategic Urban Planning-An Agent Based Modelling Approach, Nam Huynh, Pascal Perez, Matthew Berryman, Johan Barthelemy
Faculty of Engineering and Information Sciences - Papers: Part A
Agent based modelling has been widely accepted as a promising tool for urban planning purposes thanks to its capability to provide sophisticated insights into the social behaviours and the interdependencies that characterise urban systems. In this paper, we report on an agent based model, called TransMob, which explicitly simulates the mutual dynamics between demographic evolution, transport demands, housing needs and the eventual change in the average satisfaction of the residents of an urban area. The ability to reproduce such dynamics is a unique feature that has not been found in many of the like agent based models in the literature. …
High Rate Serially Concatenated Codes With Low Error Floors, Bo Liu, Sheng Tong, Qinghua Guo, Jun Tong, Jiangtao Xi, Yanguang Yu
High Rate Serially Concatenated Codes With Low Error Floors, Bo Liu, Sheng Tong, Qinghua Guo, Jun Tong, Jiangtao Xi, Yanguang Yu
Faculty of Engineering and Information Sciences - Papers: Part A
Serial concatenation of Hamming codes and an accumulator has been shown to achieve near capacity performance at high code rates. However, these codes usually exhibit poor error floor performance due to their small minimum distances. To overcome this weakness, we propose to replace the outer Hamming codes by product codes constructed from Hamming codes and single-parity-check codes. In this way, the minimum distance of the outer code can be doubled, which is expected to increase the minimum distance of the serially concatenated code and thus to improve error floor performance. Three-dimensional EXIT chart is used for their convergence analysis and …
The Design Requirements For Libyan Imaging Mini-Satellite (Libyasat-1), Faisel Em M Tubbal, Asem Elarabi, Abdelmonem Etabeb, Hasan Marah, Khaled Beneljankou, Mosbah Bellid, Riyadh El-Bouaishi, Ahmed Amer, Wesam Shita, Saleh Srabet, Akram Alkaseh, Ahmed Turkman
The Design Requirements For Libyan Imaging Mini-Satellite (Libyasat-1), Faisel Em M Tubbal, Asem Elarabi, Abdelmonem Etabeb, Hasan Marah, Khaled Beneljankou, Mosbah Bellid, Riyadh El-Bouaishi, Ahmed Amer, Wesam Shita, Saleh Srabet, Akram Alkaseh, Ahmed Turkman
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper we present the conceptual design of Libyan remote sensing satellite (LibyaSat-1) and its sub-systems requirements. LibyaSat-1 is a 300 kg mini satellite, which will be used to support high resolution multi-spectral earth imaging camera to fulfill the civilian needs. This satellite will operate at LEO of 775 km and will provide a resolution of 2.5 m for the panchromatic band and 10 m for the VIS/NIR bands with 30 km swath. We have presented the mission overview, mission operation concept and mission requirements. Moreover, the System Tool Kit (STK) simulation is used to show the ground trucks …
Video Classification Based On Spatial Gradient And Optical Flow Descriptors, Xiaolin Tang, Abdesselam Bouzerdoum, Son Lam Phung
Video Classification Based On Spatial Gradient And Optical Flow Descriptors, Xiaolin Tang, Abdesselam Bouzerdoum, Son Lam Phung
Faculty of Engineering and Information Sciences - Papers: Part A
Feature point detection and local feature extraction are the two critical steps in trajectory-based methods for video classification. This paper proposes to detect trajectories by tracking the spatiotemporal feature points in salient regions instead of the entire frame. This strategy significantly reduces noisy feature points in the background region, and leads to lower computational cost and higher discriminative power of the feature set. Two new spatiotemporal descriptors, namely the STOH and RISTOH are proposed to describe the spatiotemporal characteristics of the moving object. The proposed method for feature point detection and local feature extraction is applied for human action recognition. …
Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices, Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li
Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices, Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li
Faculty of Engineering and Information Sciences - Papers: Part A
Covariance matrix has recently received increasing attention in computer vision by leveraging Riemannian geometry of symmetric positive-definite (SPD) matrices. Originally proposed as a region descriptor, it has now been used as a generic representation in various recognition tasks. However, covariance matrix has shortcomings such as being prone to be singular, limited capability in modeling complicated feature relationship, and having a fixed form of representation. This paper argues that more appropriate SPD-matrix-based representations shall be explored to achieve better recognition. It proposes an open framework to use the kernel matrix over feature dimensions as a generic representation and discusses its properties …
Creating Simplified 3d Models With High Quality Textures, Song Liu, Wanqing Li, Philip O. Ogunbona, Yang-Wai Chow
Creating Simplified 3d Models With High Quality Textures, Song Liu, Wanqing Li, Philip O. Ogunbona, Yang-Wai Chow
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents an extension to the KinectFusion algorithm which allows creating simplified 3D models with high quality RGB textures. This is achieved through (i) creating model textures using images from an HD RGB camera that is calibrated with Kinect depth camera, (ii) using a modified scheme to update model textures in an asymmetrical colour volume that contains a higher number of voxels than that of the geometry volume, (iii) simplifying dense polygon mesh model using quadric-based mesh decimation algorithm, and (iv) creating and mapping 2D textures to every polygon in the output 3D model. The proposed method is implemented …