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Articles 1 - 30 of 58
Full-Text Articles in Social and Behavioral Sciences
A Study On Saline Water Intrusion And Fresh Water Recharge Relevant To Coastal Environment, Sudip Basack, Amartya Kumar Bhattacharya, Chitta Sahana, Prabir Maity
A Study On Saline Water Intrusion And Fresh Water Recharge Relevant To Coastal Environment, Sudip Basack, Amartya Kumar Bhattacharya, Chitta Sahana, Prabir Maity
Faculty of Engineering and Information Sciences - Papers: Part A
The paper is based on experimental laboratory model study with relevant mathematical analysis followed by field investigation so as to understand the characteristics and flow pattern of saline water intrusion into natural porous medium followed by subsequent fresh water recharge.
Spatial And Temporal Interpolation Of Environmental Data, Tom Smith, Phil Jones, Elizabeth Kent, Maurice Cox, Noel A. Cressie, Dick Dee, Richard Smith
Spatial And Temporal Interpolation Of Environmental Data, Tom Smith, Phil Jones, Elizabeth Kent, Maurice Cox, Noel A. Cressie, Dick Dee, Richard Smith
Faculty of Engineering and Information Sciences - Papers: Part A
Environmental data analyzed to a regular spatial and temporal grid is often desired for monitoring and climate studies. For example, monitoring of regional to global temperature change and changes in the daily temperature range and extremes may use analyzed temperatures. We use the term 'analyses' in the broadest sense to encompass any form of transformation to a regular grid (so from simple gridding through to dynamical reanalyses). Resolution depends on the period and region of the analysis: typically coarser analysis grids correspond to longer periods and larger areas. Some analyses are updated in near-real time.
The (Statistical) Science Of Sustainability, Noel A. Cressie
The (Statistical) Science Of Sustainability, Noel A. Cressie
Faculty of Engineering and Information Sciences - Papers: Part A
I take as a basic law of nature that "trees do not grow to the sky". In fact, the tree metaphor is very useful as we try to impose a science on the vaguely defined term, "sustainability." Trees make up forests and forests grow and recede according to many factors. Trees develop from seeds to saplings to mature trees, using nutrients and water in the soil and C02, O2 and light from the atmosphere to grow. They do not grow to the sky, and they eventually dies. Forests do not cover the earth; but they grow, recede, and are potentially …
Numerical Investigation Of The Transient Multiphase Flow In An Ironmaking Blast Furnace, Zongyan Zhou, Haiping Zhu, Aibing Yu, Paul Zulli
Numerical Investigation Of The Transient Multiphase Flow In An Ironmaking Blast Furnace, Zongyan Zhou, Haiping Zhu, Aibing Yu, Paul Zulli
Faculty of Engineering and Information Sciences - Papers: Part A
Discrete particle simulation (DPS) has been applied to multiphase flow modelling in an ironmaking blast furnace (BF), including burden distribution at the top, gas-solid flow in the BF shaft and raceway, and liquid-solid flow in the hearth. In this work, the approach is further extended to take into account the transient features of gas and particle flow coupled with liquid tapping operation. In the simulation, two types of particles of coke and ore with different physical properties are considered, together with different shapes of the cohesive zone and the shrinkage of size of ore particles in the cohesive zone to …
Collaborative Management Of Web Ontology Data With Flexible Access Control, Jie Lu, Chao Wang, Guangquan Zhang, Jun Ma
Collaborative Management Of Web Ontology Data With Flexible Access Control, Jie Lu, Chao Wang, Guangquan Zhang, Jun Ma
Faculty of Engineering and Information Sciences - Papers: Part A
The creation and management of ontology data on web sites (e.g. instance data that is used to annotate web pages) is important technical support for the growth of the semantic web. This study identifies some key issues for web ontology data management and describes an ontology data management system, called robinet, to perform the management. This paper presents the structure of the system and introduces a Web ontology data management model that enables a flexible access control mechanism. This model adds rules into the robinet system to utilize the semantics of ontology for controlling the access to ontology data. The …
Team Situation Awareness Measure Using Semantic Utility Functions For Supporting Dynamic Decision-Making, Jun Ma, Jie Lu, Guangquan Zhang
Team Situation Awareness Measure Using Semantic Utility Functions For Supporting Dynamic Decision-Making, Jun Ma, Jie Lu, Guangquan Zhang
Faculty of Engineering and Information Sciences - Papers: Part A
Team decision-making is a remarkable feature in a complex dynamic decision environment, which can be supported by team situation awareness. In this paper, a team situation awareness measure (TSAM) method using a semantic utility function is proposed. The semantic utility function is used to clarify the semantics of qualitative information expressed in linguistic terms. The individual and team situation awareness are treated as linguistic possibility distributions on the potential decisions in a dynamic decision environment. In the TSAM method, team situation awareness is generated through reasoning and aggregating individual situation awareness based on a multi-level hierarchy mental model of the …
Multi-Criteria Group Decision Support With Linguistic Variables In Long-Term Scenarios For Belgian Energy Policy, Da Ruan, Jie Lu, Erik Laes, Guangquan Zhang, Jun Ma, Gaston Meskens
Multi-Criteria Group Decision Support With Linguistic Variables In Long-Term Scenarios For Belgian Energy Policy, Da Ruan, Jie Lu, Erik Laes, Guangquan Zhang, Jun Ma, Gaston Meskens
Faculty of Engineering and Information Sciences - Papers: Part A
Real world decisions often made in the presence of multiple, conflicting, and incommensurate criteria. Decision making requires multiple perspectives of different individuals as more decisions are made now in groups than ever before. This is particularly true when the decision environment becomes more complex such as sustainability policies study in environmental and energy sectors. Group decision making processes judgments or solutions for decision problems based on the input and feedback of multiple individuals. Multi-criteria decision and evaluation problems at tactical and strategic levels in practice involve fuzziness in terms of linguistic variables vis-à-vis criteria, weights, and decision maker judgments. Relevant …
A State-Based Knowledge Representation Approach For Information Logical Inconsistency Detection In Warning Systems, Jun Ma, Guangquan Zhang, Jie Lu
A State-Based Knowledge Representation Approach For Information Logical Inconsistency Detection In Warning Systems, Jun Ma, Guangquan Zhang, Jie Lu
Faculty of Engineering and Information Sciences - Papers: Part A
Detecting logical inconsistency in collected information is a vital function when deploying a knowledge-based warning system to monitor a specific application domain for the reason that logical inconsistency is often hidden from seemingly consistent information and may lead to unexpected results. Existing logical inconsistency detection methods usually focus on information stored in a knowledge base by using a well-defined general purpose knowledge representation approach, and therefore cannot fulfill the demands of a domain-specific situation. This paper first proposes a state-based knowledge representation approach, in which domain-specific knowledge is expressed by combinations of the relevant objects' states. Based on this approach, …
Femtosecond Second-Harmonic Generation In Periodically Poled Lithium Niobate Waveguides Written By Femtosecond Laser Pulses, Zhangchao Huang, Chenghou Tu, Shuanggen Zhang, Yongnan Li, Fuyun Lu, Yaxian Fan, Enbang Li
Femtosecond Second-Harmonic Generation In Periodically Poled Lithium Niobate Waveguides Written By Femtosecond Laser Pulses, Zhangchao Huang, Chenghou Tu, Shuanggen Zhang, Yongnan Li, Fuyun Lu, Yaxian Fan, Enbang Li
Faculty of Engineering and Information Sciences - Papers: Part A
We present in this Letter the second-harmonic generation of femtosecond pulses in double-line-written waveguides fabricated in periodically poled lithium niobate (PPLN) with femtosecond laser pulses. In a 10-mm-long sample, a normalized conversion efficiency of 12.6% W−1 cm−2 has been achieved for 40 fs pump pulses with the wavelengths centered at 1550 nm. Simulation results show that in PPLN waveguides the FWHM of wavelength tuning curve for 40 fs pump pulses is 42 nm, which is 15 times of that for 40 ps pump pulses.
High-Energy, Khz-Repetition-Rate, Ps Cryogenic Yb:Yag Chirped-Pulse Amplifier, Kyung-Han Hong, Juliet Gopinath, Darren Rand, Aleem M. Siddiqui, Shu-Wei Huang, Enbang Li, Benjamin J. Eggleton, John D. Hybl, Tso Yee Fan, Franz X. Kartner
High-Energy, Khz-Repetition-Rate, Ps Cryogenic Yb:Yag Chirped-Pulse Amplifier, Kyung-Han Hong, Juliet Gopinath, Darren Rand, Aleem M. Siddiqui, Shu-Wei Huang, Enbang Li, Benjamin J. Eggleton, John D. Hybl, Tso Yee Fan, Franz X. Kartner
Faculty of Engineering and Information Sciences - Papers: Part A
We demonstrate amplification of picosecond laser pulses to 40 mJ at a 2 kHz pulse repetition frequency (PRF) from a two-stage cryogenic chirped-pulse Yb:YAG amplifier, composed of a regenerative amplifier (RGA) and a two-pass booster amplifier. The RGA produces 8.2 mJ of energy at 2 kHz PRF and 13.2 mJ at 1 kHz PRF with excellent energy stability (~0.3% rms) and beam quality ( M2<1.1 ). Pulse stretching and compression are achieved by using a chirped fiber Bragg grating and a multilayer dielectric grating pair, respectively. Compressed 15 ps pulses from the RGA are obtained with a throughput efficiency of ~80% (~6.5 mJ for 2 kHz ). The booster amplifier further amplifies the pulses to 40 mJ at 2 kHz PRF, and ~32 mJ, ~15 ps pulses are expected after compression. The amplifier chain seeded from a femtosecond Yb-fiber laser enables the optical self-synchronization between signal and pump in optical parametric chirped-pulse amplifier applications.
Mechanical Property Development During Uoe Forming Of Large Diameter Pipeline Steels, Andrii Kostryzhev, Martin Strangwood, Claire L. Davis
Mechanical Property Development During Uoe Forming Of Large Diameter Pipeline Steels, Andrii Kostryzhev, Martin Strangwood, Claire L. Davis
Faculty of Engineering and Information Sciences - Papers: Part A
Mechanical properties of large diameter welded steel pipes depend on the thermomechanically controlled rolled (TMCR) plate microstructure and UOE pipe-forming cold deformation sequence. Strength from plate to pipe may increase (work-hardening) or decrease (the Bauschinger effect). Bauschinger effect parameters depend on steel composition and plate processing history. The present study is examining two pipeline grades: X60 (Nb-alloyed) and X65 (Nb- and V-alloyed). Mechanical properties are determined by grain refinement, solid solution, precipitation strengthening mechanisms, and work-hardening (work-softening). The reverse deformation yield drop increases with an increase in the precipitate particle volume fraction and pre-strain. Annealing, leading to a decrease in …
Bauschinger Effect In Microalloyed Steels: Part I. Dependence On Dislocation-Particle Interaction, Andrii Kostryzhev, Martin Strangwood, Claire L. Davis
Bauschinger Effect In Microalloyed Steels: Part I. Dependence On Dislocation-Particle Interaction, Andrii Kostryzhev, Martin Strangwood, Claire L. Davis
Faculty of Engineering and Information Sciences - Papers: Part A
The Bauschinger effect (yield stress decreasing at the start of reverse deformation after forward prestrain) is an important factor in strength development for cold metal forming technology. In steels, the magnitude of the Bauschinger effect depends on composition, through the presence of microalloy precipitates, and prior processing, through the size and distribution of microalloy precipitates and presence of retained work hardening. In this article, the microstructures of two (Nb- and Nb-V-microalloyed) steel plates, in terms of (Ti,Nb,V,Cu)-rich particle distributions and dislocation densities, have been quantitatively related to the Bauschinger parameters for the same processing conditions. For the 12- to 50-nm …
A Hybrid Highly Birefringent Fiber Optic Sensing System For Simultaneous Strain And Temperature Measurement, Piotr Lesiak, Ginu Rajan, Yuliya Semenova, Gerald Farrell, Anna Boczkowska, Andrzej Domanski, Tomasz Wolinski
A Hybrid Highly Birefringent Fiber Optic Sensing System For Simultaneous Strain And Temperature Measurement, Piotr Lesiak, Ginu Rajan, Yuliya Semenova, Gerald Farrell, Anna Boczkowska, Andrzej Domanski, Tomasz Wolinski
Faculty of Engineering and Information Sciences - Papers: Part A
A novel hybrid fiber optic sensor based on integration of polarimetric fiber sensors for simultaneous strain and temperature measurement is presented in this paper. Two types of polarimetric fibers are used: a side-hole fiber and a polarization maintaining photonic crystal fiber. The disadvantage of each sensor type can be overcome by using the sensors in a complementary manner to measure temperature independently from average strain. © 2010 Photonics Society of Poland.
A Critique Of The Marker Variable Technique: The Effect Of Alternative Marker Variable Criteria, Rajeev Sharma, Philip Yetton, Jeff Crawford
A Critique Of The Marker Variable Technique: The Effect Of Alternative Marker Variable Criteria, Rajeev Sharma, Philip Yetton, Jeff Crawford
Faculty of Engineering and Information Sciences - Papers: Part A
The marker variable technique offers a practical and easy method to address the validity threat on account of common method variance to the findings of individual studies. Hawever, the validity of the marker variable technique has not been established. This paper examines the validity threat to the marker variable technique arising from multiple criteria for the selection of the marker variable proposed in the literature. Our findings shaw that the conclusions that can be drawn under different criteria are significantly and substantially different, raising doubts about the validity of the marker variable technique. Proposals for developing theoretically grounded criteria for …
An N-Level Flying Capacitor Based Active Neutral-Point-Clamped Converter, Sridhar R. Pulikanti, Georgios S. Konstantinou, Vassilios G. Agelidis
An N-Level Flying Capacitor Based Active Neutral-Point-Clamped Converter, Sridhar R. Pulikanti, Georgios S. Konstantinou, Vassilios G. Agelidis
Faculty of Engineering and Information Sciences - Papers: Part A
An n-level flying capacitor (FC) based active neutral point clamped (ANPC) converter is discussed in this paper. The converter is based on an arrangement of a three-level ANPC converter and a number of two-level cells creating an n-level line-to-neutral waveform. The converter is operated under a phase-shifted carrier pulse-width modulation (PWM). The mathematical model for the DC-link capacitors voltage behavior of a three-phase arrangement is also presented. It is shown through simulations and experimental work that the voltage of flying capacitors can naturally balance to the required level in order to generate multilevel waveform. Simulations and experimental work of a …
Efficient Spectral Feature Selection With Minimum Redundancy, Zheng Zhao, Lei Wang, Huan Liu
Efficient Spectral Feature Selection With Minimum Redundancy, Zheng Zhao, Lei Wang, Huan Liu
Faculty of Engineering and Information Sciences - Papers: Part A
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and unsupervised feature selection, and has been proven to be effective in many real-world applications. One common drawback associated with most existing spectral feature selection algorithms is that they evaluate features individually and cannot identify redundant features. Since redundant features can have significant adverse effect on learning performance, it is necessary to address this limitation for spectral feature selection. To this end, we propose a novel spectral feature selection algorithm to handle feature redundancy, adopting an embedded model. …
A Scalable Algorithm For Learning A Mahalanobis Distance Metric, Junae Kim, Chunhua Shen, Lei Wang
A Scalable Algorithm For Learning A Mahalanobis Distance Metric, Junae Kim, Chunhua Shen, Lei Wang
Faculty of Engineering and Information Sciences - Papers: Part A
A distance metric that can accurately re°ect the intrinsic characteristics of data is critical for visual recognition tasks. An e®ective solution to de¯ning such a metric is to learn it from a set of training sam- ples. In this work, we propose a fast and scalable algorithm to learn a Ma- halanobis distance. By employing the principle of margin maximization to secure better generalization performances, this algorithm formulates the metric learning as a convex optimization problem with a positive semide¯nite (psd) matrix variable. Based on an important theorem that a psd matrix with trace of one can always be represented …
A Multi-Resolution Approach To Learning With Overlapping Communities, Lei Tang, Xufei Wang, Huan Liu, Lei Wang
A Multi-Resolution Approach To Learning With Overlapping Communities, Lei Tang, Xufei Wang, Huan Liu, Lei Wang
Faculty of Engineering and Information Sciences - Papers: Part A
The recent few years have witnessed a rapid surge of par- ticipatory web and social media, enabling a new laboratory for studying human relations and collective behavior on an unprecedented scale. In this work, we attempt to harness the predictive power of social connections to determine the preferences or behaviors of individuals such as whether a user supports a certain political view, whether one likes one product, whether he/she would like to vote for a presidential candidate, etc. Since an actor is likely to participate in mul- tiple dierent communities with each regulating the actor's behavior in varying degrees, and …
Balanced Truncation Of Linear Second-Order Systems: A Hamiltonian Approach, Carsten Hartmann, Valentina-Mira Vulcanov, Christof Schutte
Balanced Truncation Of Linear Second-Order Systems: A Hamiltonian Approach, Carsten Hartmann, Valentina-Mira Vulcanov, Christof Schutte
Faculty of Engineering and Information Sciences - Papers: Part A
We present a formal procedure for structure-preserving model reduction of linear second-order and Hamiltonian control problems that appear in a variety of physical contexts, e.g., vibromechanical systems or electrical circuit design. Typical balanced truncation methods that project onto the subspace of the largest Hankel singular values fail to preserve the problem's physical structure and may suffer from lack of stability. In this paper, we adopt the framework of generalized Hamiltonian systems that covers the class of relevant problems and that allows for a generalization of balanced truncation to second-order problems. It turns out that the Hamiltonian structure, stability, and passivity …
Flicker Mitigation Strategy For Dfigs During Variable Wind Conditions, Lasantha Meegahapola, Brendan Fox, Damian Flynn
Flicker Mitigation Strategy For Dfigs During Variable Wind Conditions, Lasantha Meegahapola, Brendan Fox, Damian Flynn
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents a flicker mitigation scheme for the doubly-fed induction generator (DFIG) during variable wind conditions. The flicker mitigation strategy was developed based on the distribution line X/R ratio and the active power deviation from the average active power during variable wind conditions. Flicker emission was analyzed using a flicker meter based on the IEC standards. Both short-term and long-term flicker severities were analyzed during the time period of study. The flicker mitigation strategy was evaluated under different system conditions such as X/R ratio, distribution line length, shortcircuit capacity (SCC), and wind variability. It is shown that the proposed …
Head Pose Estimation Based On Extended Non-Negative Matrix Factorization, Ce Zhan, Wanqing Li, Philip Ogunbona
Head Pose Estimation Based On Extended Non-Negative Matrix Factorization, Ce Zhan, Wanqing Li, Philip Ogunbona
Faculty of Engineering and Information Sciences - Papers: Part A
One popular solution to head pose estimation is to formulate it as a pattern classication problem, and treat the holistic facial appearance as the input to classiers. However, since the face appearance contains all kinds of information, the variation caused by other factors such as identity, expression and lighting may be larger than that caused by dierent head poses. Thus, the key challenge of these appearance based methods lies in constructing a feature subspace that could successfully recovers head pose while ignoring other sources of image variation. In this paper, following the intuition of combining parts to form a whole …
Compressive Evaluation In Human Motion Tracking, Yifan Lu, Lei Wang, Richard Hartley, Hongdong Li, Dan Xu
Compressive Evaluation In Human Motion Tracking, Yifan Lu, Lei Wang, Richard Hartley, Hongdong Li, Dan Xu
Faculty of Engineering and Information Sciences - Papers: Part A
The powerful theory of compressive sensing enables an efficient way to recover sparse or compressible signals from non-adaptive, sub-Nyquist-rate linear measurements. In particular, it has been shown that random projections can well approximate an isometry, provided that the number of linear measurements is no less than twice of the sparsity level of the signal. Inspired by these, we propose a compressive anneal particle filter to exploit sparsity existing in image-based human motion tracking. Instead of performing full signal recovery, we evaluate the observation likelihood directly in the compressive domain of the observed images. Moreover, we introduce a progressive multilevel wavelet …
Liner Shipping Fleet Deployment With Cargo Transshipment And Demand Uncertainty, S Wang, Q Meng
Liner Shipping Fleet Deployment With Cargo Transshipment And Demand Uncertainty, S Wang, Q Meng
Faculty of Engineering and Information Sciences - Papers: Part A
This paper addresses a novel liner shipping fleet deployment problem characterized by cargo transshipment, multiple container routing options and uncertain demand, with the objective of maximizing the expected profit. This problem is formulated as a stochastic program and solved by the sample average approximation method. In this technique the objective function of the stochastic program is approximated by a sample average estimate derived from a random sample, and then the resulting deterministic program is solved. This process is repeated with different samples to obtain a good candidate solution along with the statistical estimate of its optimality gap. We apply the …
Gmp‐Based Channel Estimation For Single‐Carrier Transmissions Over Doubly Selective Channels, Qinghua Guo, Defeng (David) Huang
Gmp‐Based Channel Estimation For Single‐Carrier Transmissions Over Doubly Selective Channels, Qinghua Guo, Defeng (David) Huang
Faculty of Engineering and Information Sciences - Papers: Part A
We present a graph-based channel estimation approach for SC-IFDE (single-carrier transmissions with iterative frequency domain equalization) without CP (cyclic prefix) over doubly selective channels using the recently developed Gaussian message passing (GMP) technique. A direct application of the GMP updating rules in the FFG (Forney-style factor graph) of the SC-IFDE system model incurs high complexity. Approximate updating rules are therefore developed to overcome this problem. The proposed GMP-based channel estimation approach has similar complexity as the low-complexity Kalman-filtering based frequency domain channel estimation approach in the literature, but significantly outperforms the latter due to its enhanced capability in capturing the …
Model Tests On Free-Standing Passive Pile Groups In Sand, Wei-Dong Guo, E. H. Ghee
Model Tests On Free-Standing Passive Pile Groups In Sand, Wei-Dong Guo, E. H. Ghee
Faculty of Engineering and Information Sciences - Papers: Part A
A number of tests have been conducted to investigate response of vertically loaded capped pile groups in sand undergoing uniform lateral soil movement. The development of shear force, bending moment and deflection along the piles was measured. Presented in this paper are 4 tests on 2-pile free-standing groups, with a view to establish solutions for predicting the pile response. It was concluded that (1) maximum bending moment Mmax is largely linearly related to the sliding force Tmax in stable and moving layers; (2) The combined impact of pile-cap fixity, soil movement profiles, and axial load may be quantified by a …
Response Of 20 Laterally Loaded Piles In Sand, Wei-Dong Guo, Bi Tang Zhu
Response Of 20 Laterally Loaded Piles In Sand, Wei-Dong Guo, Bi Tang Zhu
Faculty of Engineering and Information Sciences - Papers: Part A
Closed-form solutions and their associated spreadsheet program (GASLFP) were developed by the first author for laterally loaded free- head piles in elastic-plastic media. The solutions show behaviour of a laterally loaded pile is dominated by net limiting force per unit length (LFP) fully mobilised along the pile to a depth called slip depth. They are characterised by three parameters of Ng, α o and n (to describe the LFP) and the soil shear modulus (Gs). Conversely, these parameters may be deduced by matching the predicted with measured response. To facilitate practical design, in this paper, the input values of Ng, …
Comparison Of Thermal Stability In Max211 And 312 Phases, Wei Kong Pang, It-Meng Low, B H. O'Connor, Andrew J. Studer, Vanessa Peterson, Zheng-Ming Sun, J P. Palmquist
Comparison Of Thermal Stability In Max211 And 312 Phases, Wei Kong Pang, It-Meng Low, B H. O'Connor, Andrew J. Studer, Vanessa Peterson, Zheng-Ming Sun, J P. Palmquist
Faculty of Engineering and Information Sciences - Papers: Part A
The susceptibility of four MAX phases (Ti2AlC, Cr2AlC, Ti3AlC2, and Ti3SiC2) to high-temperature thermal dissociation in vacuum has been investigated using in-situ neutron diffraction.
Impacts Of Coal Shrinkage, Permeability And Petrography On Gas Regime In Mines Case Study: Tahmoor Coal Mine, Nsw, Australia, Naj Aziz, Ian Porter, F Sereshki
Impacts Of Coal Shrinkage, Permeability And Petrography On Gas Regime In Mines Case Study: Tahmoor Coal Mine, Nsw, Australia, Naj Aziz, Ian Porter, F Sereshki
Faculty of Engineering and Information Sciences - Papers: Part A
The volumetric changes in the coal matrix (Coal Shrinkage), permeability under various gas environment conditions as well as perographical properties were studied in the laboratory. The shrinkage and permeability of coal were examined with respect to changing gas type and confining pressures. The shrinkage tests were carried out in high-pressure bombs while the permeability study was conducted in a specially constructed high-pressure chamber. Methane (CH4), carbon dioxide (CO2), nitrogen, (N2) and a 50%-50% volume mixture of CO2/CH4 gas were used in the study. The tests showed that under different pressure levels gas type affected permeability and shrinkage characteristics of coal. …
Simulation Of Macroscopic Deformation Using A Sub-Particle Dem Approach, Leela Kempton, David J. Pinson, Sheng Chew, Paul Zulli, Aibing Yu
Simulation Of Macroscopic Deformation Using A Sub-Particle Dem Approach, Leela Kempton, David J. Pinson, Sheng Chew, Paul Zulli, Aibing Yu
Faculty of Engineering and Information Sciences - Papers: Part A
A limitation in numerical modelling of the ironmaking blast furnace is the lack of ability to quantify the effects of particle deformation and subsequent loss of porosity arising from the softening and melting of ferrous materials. Previous attempts to consider deformation focussed solely on the macroscopic effects such as resistance to gas flow, with an assumed decrease in porosity proportional to temperature. Instead, it is proposed to approximate particle scale deformation using a modified subparticle Discrete Element Method approach, where each 'ore' particle is represented using an agglomerate of discrete elements with temperature dependent properties. Cohesive forces binding the agglomerate …
Efficient Structured Support Vector Regression, Ke Jia, Lei Wang, Nianjun Liu
Efficient Structured Support Vector Regression, Ke Jia, Lei Wang, Nianjun Liu
Faculty of Engineering and Information Sciences - Papers: Part A
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structured support vector regression framework by extending the max-margin principle to incorporate spatial correlations among neighboring pixels. The objective function in our framework considers both label information and pairwise features, helping to achieve better cross-smoothing over neighboring nodes. With the bundle method, we effectively reduce the number of constraints and alleviate the adverse effect of outliers, leading to an efficient and robust learning algorithm. Moreover, we conduct a thorough analysis for the …