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Articles 91 - 120 of 13887

Full-Text Articles in Social and Behavioral Sciences

Robustness In Coupling Between Iron And Rare Earth Spins In Rare Earth Orthoferrites, Mohanad Hazim, Josip Horvat, Zhenxiang Cheng, Shixun Cao Jan 2020

Robustness In Coupling Between Iron And Rare Earth Spins In Rare Earth Orthoferrites, Mohanad Hazim, Josip Horvat, Zhenxiang Cheng, Shixun Cao

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Trans Tech Publications Ltd, Switzerland. We report on very accurate magnetic measurements on large rare earth orthoferrites single crystals of ErFeO3 and NdFeO3. Our results show that the interaction between rare earth and iron spin system does not change during the spin-flip process. This implies that the coupling between the iron and rare earth spin systems is robust enough to withstand the effects of spin flipping against the magnetic anisotropy energy. This is despite rare eath ions, polarized by the ordered iron ions, being in partly metastable state and their magnetic moment decays with time.


An Edge Based Multi-Agent Auto Communication Method For Traffic Light Control, Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou Jan 2020

An Edge Based Multi-Agent Auto Communication Method For Traffic Light Control, Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part B

With smart city infrastructures growing, the Internet of Things (IoT) has been widely used in the intelligent transportation systems (ITS). The traditional adaptive traffic signal control method based on reinforcement learning (RL) has expanded from one intersection to multiple intersections. In this paper, we propose a multi-agent auto communication (MAAC) algorithm, which is an innovative adaptive global traffic light control method based on multi-agent reinforcement learning (MARL) and an auto communication protocol in edge computing architecture. The MAAC algorithm combines multi-agent auto communication protocol with MARL, allowing an agent to communicate the learned strategies with others for achieving global optimization ...


A New Algorithm For Displacement Measurement Using Self-Mixing Interferometry With Modulated Injection Current, Han Wang, Yuxi Ruan, Yanguang Yu, Qinghua Guo, Jiangtao Xi, Jun Tong Jan 2020

A New Algorithm For Displacement Measurement Using Self-Mixing Interferometry With Modulated Injection Current, Han Wang, Yuxi Ruan, Yanguang Yu, Qinghua Guo, Jiangtao Xi, Jun Tong

Faculty of Engineering and Information Sciences - Papers: Part B

Using self-mixing interferometry (SMI) with a periodical modulated injection current, high resolution displacement sensing can be achieved by retrieving the initial phase of an SMI signal at each modulation period. However, the existing initial-phase-based detection methods can only obtain a single point measurement of displacement within each single modulation period. Thus, they are only effective when the target is subject to slow movement, or the injection current is modulated by a signal of very high frequency, which are not practical in many applications. In this work, a new method is proposed to tackle the problem. Firstly, a reference signal is ...


Robust Extended H∞ Control Strategy Using Linear Matrix Inequality Approach For Islanded Microgrid, Maniza Armin, Mizanur Rahman, Md Mukidur Rahman, Subrata K. Sarker, Sajal Das, Md Rabiul Islam, Abbas Z. Kouzani, M. A Parvez Mahmud Jan 2020

Robust Extended H∞ Control Strategy Using Linear Matrix Inequality Approach For Islanded Microgrid, Maniza Armin, Mizanur Rahman, Md Mukidur Rahman, Subrata K. Sarker, Sajal Das, Md Rabiul Islam, Abbas Z. Kouzani, M. A Parvez Mahmud

Faculty of Engineering and Information Sciences - Papers: Part B

This paper presents the design of an extended parameterisations of H∞ controller for off grid operation of a microgrid. The microgrid consists of distributed generation units, filters and local loads. The filters are used to achieve accurate sinusoidal output voltage. However, loads which are connected to the microgrid are parametrically uncertain. Hence, it undergoes with unknown loads uncertainties. These unknown loads may create unknown loads harmonics, non-linearities which may reduce the voltage and current profile of the microgrid. As a result, the sudden rise and fall of voltage current profile damages the domestic and commercial loads. The proposed controller provides ...


Role Of Optimization Algorithms Based Fuzzy Controller In Achieving Induction Motor Performance Enhancement, M Hannan, Jamal Ali, M J. Hossain, A Mohamed, Pin Ker, T Indra, M Mansor, Aini Hussain, Kashem M. Muttaqi, Z Dong Jan 2020

Role Of Optimization Algorithms Based Fuzzy Controller In Achieving Induction Motor Performance Enhancement, M Hannan, Jamal Ali, M J. Hossain, A Mohamed, Pin Ker, T Indra, M Mansor, Aini Hussain, Kashem M. Muttaqi, Z Dong

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020, The Author(s). Three-phase induction motors (TIMs) are widely used for machines in industrial operations. As an accurate and robust controller, fuzzy logic controller (FLC) is crucial in designing TIMs control systems. The performance of FLC highly depends on the membership function (MF) variables, which are evaluated by heuristic approaches, leading to a high processing time. To address these issues, optimisation algorithms for TIMs have received increasing interest among researchers and industrialists. Here, we present an advanced and efficient quantum-inspired lightning search algorithm (QLSA) to avoid exhaustive conventional heuristic procedures when obtaining MFs. The accuracy of the QLSA based ...


Recent Progress In Electrical Generators For Oceanic Wave Energy Conversion, Abidur Rahman, Omar Farrok, Md Rabiul Islam, Wei Xu Jan 2020

Recent Progress In Electrical Generators For Oceanic Wave Energy Conversion, Abidur Rahman, Omar Farrok, Md Rabiul Islam, Wei Xu

Faculty of Engineering and Information Sciences - Papers: Part B

Oceanic wave energy extraction through electrical generator is one of the most interesting topics in the field of power engineering. Almost all the existing relevant review paper focus on electrical generator with the working principle of electromagnetic induction or piezoelectric or triboelectric effect. In this paper, all the existing types (based on principle of operation) of electrical generator used for wave power harvesting are discussed. This paper not only covers recent progress in electrical power generation by electro-magnetic induction, piezoelectric generator, and electrostatic induction, but also presents critical comparative review as well where suitable use and weakness of each type ...


A Qualitative Study Of The Strategic Alignment Perspective Of Public-Sector Organisations In Saudi Arabia In The Digitalisation Age, Abdulaziz Alghazi, Tingru Cui, Jun Shen, Samuel Fosso Wamba, Mengxiang Li Jan 2020

A Qualitative Study Of The Strategic Alignment Perspective Of Public-Sector Organisations In Saudi Arabia In The Digitalisation Age, Abdulaziz Alghazi, Tingru Cui, Jun Shen, Samuel Fosso Wamba, Mengxiang Li

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.


Negative Sequence Voltage Compensating For Unbalanced Standalone Brushless Doubly-Fed Induction Generator, Wei Xu, Omer Mohammed Elbabo Mohammed, Yi Liu, Md Rabiul Islam Jan 2020

Negative Sequence Voltage Compensating For Unbalanced Standalone Brushless Doubly-Fed Induction Generator, Wei Xu, Omer Mohammed Elbabo Mohammed, Yi Liu, Md Rabiul Islam

Faculty of Engineering and Information Sciences - Papers: Part B

During the unbalance operation of a standalone brushless doubly-fed induction generator (BDFIG), the negative sequence component causes significant unbalanced effect on the voltage and current of the power winding (PW). In this paper, anew control strategy is proposed to minimize the voltage unbalance effect of a standalone BDFIG under unbalanced loads. The proposed control strategy consists of two parts. The first part represents the conventional direct voltage control (DVC) strategy to control the frequency and magnitude of the positivesequence PW voltage. The second part is the proposed strategy to minimize the negative sequence component in the output voltage of PW ...


Novel Dtn Mobility-Driven Routing In Autonomous Drone Logistics Networks, Saeid Iranmanesh, Raad Raad, Muhammad Salman Raheel, Faisel Em M Tubbal, Tony Jan Jan 2020

Novel Dtn Mobility-Driven Routing In Autonomous Drone Logistics Networks, Saeid Iranmanesh, Raad Raad, Muhammad Salman Raheel, Faisel Em M Tubbal, Tony Jan

Faculty of Engineering and Information Sciences - Papers: Part B

Drones have become prevalent for the delivery of goods by many retail companies such as Amazon and Dominos. Amazon has an issued patent that describes how drones scan and collect data on their fly-overs while dropping off packages. In this context, we propose a path optimization algorithm for a drone multi-hop communications network that can carry and forward data in addition to its primary function of parcel deliveries. We argue that traditional Delay Tolerant Networking (DTN) based protocols may not be efficient for this purpose. Therefore, this paper proposes a new DTN-based algorithm that optimizes drone flight paths in conjunction ...


Performance Of Ballast Influenced By Deformation And Degradation: Laboratory Testing And Numerical Modeling, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn Jan 2020

Performance Of Ballast Influenced By Deformation And Degradation: Laboratory Testing And Numerical Modeling, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn

Faculty of Engineering and Information Sciences - Papers: Part B

This paper presents a study on the deformation and degradation responses of railway ballast using large-scale laboratory testing and computational modeling approaches. A series of large-scale triaxial tests were carried out to investigate the ballast breakage responses under cyclic train loading subjected to varying frequencies, f=10-40  Hz. The role of recycled rubber energy-absorbing mats (REAMs) on reducing ballast breakage was also examined. Laboratory test results show that the ballast experiences significant degradation (breakage) and deformation, while the inclusion of REAMs can reduce the ballast breakage up to about 35%. Numerical modeling using the coupled discrete-continuum approach [coupled discrete-element method-finite-difference ...


The Variable Resonance Magnetorheological Pendulum Tuned Mass Damper: Mathematical Modelling And Seismic Experimental Studies, Matthew Christie, Shuaishuai Sun, Lei Deng, Donghong Ning, Haiping Du, Shiwu Zhang, Weihua Li Jan 2020

The Variable Resonance Magnetorheological Pendulum Tuned Mass Damper: Mathematical Modelling And Seismic Experimental Studies, Matthew Christie, Shuaishuai Sun, Lei Deng, Donghong Ning, Haiping Du, Shiwu Zhang, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part B

Tuned mass damper technologies are progressively advancing through innovative application of smart materials, facilitating more versatile infrastructure protection. During seismic events, primarily encountered surrounding fault lines, highrise buildings and other civil structures can suffer catastrophic failures if not adequately protected. Where traditional passive structural protection may mitigate such damage, adaptive systems which provide controllable vibration attenuation across a wide range of excitation frequencies have seen growth in use, overcoming the challenges resulting from unpredictable seismic spectrums. As a robust solution to this problem, this article presents and analyses a variable resonance magnetorheological-fluid-based pendulum tuned mass damper which employs a rotary ...


Air Void Detection Using Variational Mode Decomposition With Low Rank, Fok Hing Chi Tivive, Abdesselam Bouzerdoum, Shivakumar Karekal Jan 2020

Air Void Detection Using Variational Mode Decomposition With Low Rank, Fok Hing Chi Tivive, Abdesselam Bouzerdoum, Shivakumar Karekal

Faculty of Engineering and Information Sciences - Papers: Part B

This paper presents an air-void detection technique for air-coupled radar, which emits electromagnetic waves to interrogate an air-void inside a medium or between two media. The reflections from the air-medium interfaces are usually corrupted by air-coupling, antenna ringing, and internal reflections, rendering air-void detection very difficult or, in certain cases, impossible. The proposed method exploits the low-rank structure of the background clutter to suppress these nuisance signals. A variational mode decomposition model is developed to extract the backscattering at different air-medium interfaces as signal modes. Real experiments are conducted using a stepped frequency radar. The experimental results show that the ...


Combined General Vector Machine For Single Point Electricity Load Forecast, Binbin Yong, Yongqiang Wei, Jun Shen, Fucun Li, Xuetao Jiang, Qingguo Zhou Jan 2020

Combined General Vector Machine For Single Point Electricity Load Forecast, Binbin Yong, Yongqiang Wei, Jun Shen, Fucun Li, Xuetao Jiang, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part B

General Vector Machine (GVM) is a newly proposed machine learning model, which is applicable to small samples forecast scenarios. In this paper, the GYM is applied into electricity load fore­cast based on single point modeling method. Meanwhile, traditional time series forecast models, including back propagation neural network (BPNN), Support Vector Machine (SVM) and Autoregressive Integrated Moving Average Model ( ARIMA), are also experimented for single point electricity load forecast. Further, the combined model based on GYM, BPNN, SVM and ARIMA are proposed and verified. Results show that GYM performs better than these traditional models, and the combined model outperforms any ...


Influence Of O2 On The Erosion-Corrosion Performance Of 3cr Steels In Co2 Containing Environment, Lei Xia, Yan Li, Leilei Ma, Hongmei Zhang, Nan Li, Zhengyi Jiang Jan 2020

Influence Of O2 On The Erosion-Corrosion Performance Of 3cr Steels In Co2 Containing Environment, Lei Xia, Yan Li, Leilei Ma, Hongmei Zhang, Nan Li, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

2020 by the authors. With the introduction of O2 during oil and gas production, the erosion-corrosion rate of tubing steels increases; the objective of this report is to explore the reason for this. Erosion-corrosion experiments were performed in environments of CO2 and CO2-O2, respectively. Macrographs, microstructures, and the compositions of erosion-corrosion scales were investigated using a digital camera, scanning electron microscope (SEM), Kevex-SuperDry energy spectrometer (EDS) and Xray diffraction (XRD). The results show that the erosion-corrosion products are composed of large FeCO3 particles and some amorphous product in the CO2 environment, while they are made up of FeCO3, Fe2O3, Fe3O4 ...


Choosing Subfields For Luov And Lifting Fields For Rainbow, Dung Hoang Duong, Le Van Luyen, Ha Tran Jan 2020

Choosing Subfields For Luov And Lifting Fields For Rainbow, Dung Hoang Duong, Le Van Luyen, Ha Tran

Faculty of Engineering and Information Sciences - Papers: Part B

© The Institution of Engineering and Technology 2019 Multivariate public key cryptography is one of the main candidates for post-quantum cryptography. Rainbow, an improved (multi-layer) version of unbalanced oil and vinegar (UOV), is one of the most famous multivariate signature schemes that is a promising candidate for NIST standardisation. At INDOCRYPT 2017, Beullens and Preneel introduced a new variant LUOV of UOV. Their idea is to generate a UOV scheme over the binary field L = F2 and then lift it into a bigger field K = F2r and hence dramatically reduce the public key size. In this study, the authors first theoretically ...


Numerical Simulation Of Strip Shape Of High-Strength Steel During Hot Rolling Process, Lianjie Li, Haibo Xie, Xu Liu, Tianwu Liu, Enrui Wang, Zhengyi Jiang Jan 2020

Numerical Simulation Of Strip Shape Of High-Strength Steel During Hot Rolling Process, Lianjie Li, Haibo Xie, Xu Liu, Tianwu Liu, Enrui Wang, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

2020 Trans Tech Publications Ltd, Switzerland. High-strength steel is widely applied due to its excellent mechanical properties. However, its high strength in turn brings great difficulties to production and processing such as hot strip rolling owing to the high rolling force, which results in large elastic deformation of roll stack and poses a huge challenge to the control of strip crown and flatness. In this paper, A threedimensional (3D) elastic-plastic coupled thermo-mechanical finite element (FE) model for hot strip rolling of high-strength steel is developed and then verified experimentally. This model not only calculates the elastic deformation of rolls and ...


Social Vulnerability To Natural Hazards In Wollongong: Comparing Strength-Based And Traditional Methods, Robert Ighodaro Ogie, Biswajeet Pradhan Jan 2020

Social Vulnerability To Natural Hazards In Wollongong: Comparing Strength-Based And Traditional Methods, Robert Ighodaro Ogie, Biswajeet Pradhan

Faculty of Engineering and Information Sciences - Papers: Part B

Social vulnerability is a widely recognised way of assessing the sensitivity of a population to natural hazards and its ability to respond to and recover from them. In the traditional approach to computing social vulnerability, the emphasis is mainly on the weaknesses only (e.g. old age, low income, language barriers). This study presents a strength-based social vulnerability index that identifies the strengths that communities have that help minimise disaster risk exposure. The strength-based social vulnerability index method is compared with the traditional approach using various statistical procedures like the one-sample T-test and the Wilcoxon signed rank test. This is ...


Dtn And Non-Dtn Routing Protocols For Inter-Cubesat Communications: A Comprehensive Survey, Mohamed Atef Madni, Saeid Iranmanesh, Raad Raad Jan 2020

Dtn And Non-Dtn Routing Protocols For Inter-Cubesat Communications: A Comprehensive Survey, Mohamed Atef Madni, Saeid Iranmanesh, Raad Raad

Faculty of Engineering and Information Sciences - Papers: Part B

CubeSats, which are limited by size and mass, have limited functionality. These miniaturised satellites suffer from a low power budget, short radio range, low transmission speeds, and limited data storage capacity. Regardless of these limitations, CubeSats have been deployed to carry out many research missions, such as gravity mapping and the tracking of forest fires. One method of increasing their functionality and reducing their limitations is to form CubeSat networks, or swarms, where many CubeSats work together to carry out a mission. Nevertheless, the network might have intermittent connectivity and, accordingly, data communication becomes challenging in such a disjointed network ...


On The Energy Efficiency Of Massive Mimo Systems With Low-Resolution Adcs And Lattice Reduction Aided Detectors, Zhitao Xiao, Jincan Zhao, Tianle Liu, Lei Geng, Fang Zhang, Jun Tong Jan 2020

On The Energy Efficiency Of Massive Mimo Systems With Low-Resolution Adcs And Lattice Reduction Aided Detectors, Zhitao Xiao, Jincan Zhao, Tianle Liu, Lei Geng, Fang Zhang, Jun Tong

Faculty of Engineering and Information Sciences - Papers: Part B

As an effective technology for boosting the performance of wireless communications, massive multiple-input multiple-output (MIMO) systems based on symmetric antenna arrays have been extensively studied. Using low-resolution analog-to-digital converters (ADCs) at the receiver can greatly reduce hardware costs and circuit complexity to further improve the energy efficiency (EE) of the system. There are significant research on the design of MIMO detectors but there is limited study on their performance in terms of EE. This paper studies the effect of signal detection on the EE in practical systems, and proposes to apply several signal detectors based on lattice reduction successive interference ...


Upright Radiation Therapy—A Historical Reflection And Opportunities For Future Applications, Sulman Rahim, James Korte, Nicholas G. Hardcastle, Sarah Hegarty, Tomas Kron, Sarah Everitt Jan 2020

Upright Radiation Therapy—A Historical Reflection And Opportunities For Future Applications, Sulman Rahim, James Korte, Nicholas G. Hardcastle, Sarah Hegarty, Tomas Kron, Sarah Everitt

Faculty of Engineering and Information Sciences - Papers: Part B

Since the early days of megavoltage Radiation Therapy (RT), the potential of delivering treatment to a sub group of patients in an upright position has been recognized. Compared to lying horizontally, treating patients in an upright position offers potential benefits in terms of patient comfort especially for patients experiencing dyspnoea and saliva accumulation when lying down. Dosimetric benefits can also be gained from changes in the volume and location of lungs and heart in an upright position, which are potentially advantageous for clinical situations including Hodgkin's disease, lung and breast malignancies. Since the 1950's, upright stabilization mechanisms have ...


Advancement Of Rail Ballast Testing Methodologies And Design Implications, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn, Fernanda Ferreira Jan 2020

Advancement Of Rail Ballast Testing Methodologies And Design Implications, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn, Fernanda Ferreira

Faculty of Engineering and Information Sciences - Papers: Part B

Given the limited capacity of available railway tracks in Australia to sustain increasingly faster and heavier trains, the development of innovative and sustainable ballasted tracks is essential for Australian transport infrastructure. Upon repeated train loading, ballast aggregates become degraded and fouled owing to the intrusion of external fines either from the subbase or surface, which decreases track drainage potentially leading to track instability. This paper reviews some advancements in testing methodologies and design implications of ballasted tracks stabilized with artificial inclusions, including geocomposites, energy absorbing rubber mats and end-of-life tires. Measured test data shows that the use of these waste ...


Approaches To Dealing With Missing Data In Railway Asset Management, Paul Mcmahon, Tieling Zhang, Richard Dwight Jan 2020

Approaches To Dealing With Missing Data In Railway Asset Management, Paul Mcmahon, Tieling Zhang, Richard Dwight

Faculty of Engineering and Information Sciences - Papers: Part B

The collection of reliable and high-quality data is seen as a prerequisite for effective and efficient rail infrastructure and rolling stock asset management to meet the requirements of asset owners and service providers. In this paper, the importance of recovering missing information in railway asset management is highlighted, and the advanced models and algorithms that have been applied to recovering the missed data are analyzed and discussed. Through making comparisons among these models and algorithms, a procedure is proposed to guide selecting the appropriate models based on different data missing scenarios. Using the newly developed framework with one dataset from ...


Study Of Wire Deformation Characterization And Size Effects During The Micro-Flat-Rolling Process, Haibo Xie, Ken-Ichi Manabe, Zhengyi Jiang Jan 2020

Study Of Wire Deformation Characterization And Size Effects During The Micro-Flat-Rolling Process, Haibo Xie, Ken-Ichi Manabe, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. A comprehensive research on the flat rolling deformation characterization of microwire has been conducted systematically through finite element simulation and testified by the results from the experimental analysis. The obtained results are compared in terms of lateral spread, geometrical characteristic, contact area width and surface roughness considering the effects of pass reduction and initial wire diameter. The size effect has been identified and surface layer modeling has been set up based on surface grain share and grain size distribution. The numerical method combined with varied flow stress has been verified by experimental ...


Scheduling Of A Parcel Delivery System Consisting Of An Aerial Drone Interacting With Public Transportation Vehicles, Hailong Huang, Andrey V. Savkin, Chao Huang Jan 2020

Scheduling Of A Parcel Delivery System Consisting Of An Aerial Drone Interacting With Public Transportation Vehicles, Hailong Huang, Andrey V. Savkin, Chao Huang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This paper proposes a novel parcel delivery system which consists of a drone and public transportation vehicles such as trains, trams, etc. This system involves two delivery schemes: drone-direct scheme referring to delivering to a customer by a drone directly and drone–vehicle collaborating scheme referring to delivering a customer based on the collaboration of a drone and public transportation vehicles. The fundamental characteristics including the delivery time, energy consumption and battery recharging are modelled, based on which a time-dependent scheduling problem for a single drone is formulated. It is shown to ...


Capacity Maximized Linear Precoder Design For Spatial-Multiplexing Mimo Vlc Systems, Yanrong Zhai, Hao Chi, Jun Tong, Jiangtao Xi Jan 2020

Capacity Maximized Linear Precoder Design For Spatial-Multiplexing Mimo Vlc Systems, Yanrong Zhai, Hao Chi, Jun Tong, Jiangtao Xi

Faculty of Engineering and Information Sciences - Papers: Part B

© 2013 IEEE. This paper proposes a novel linear precoder design based on the singular value decomposition (SVD) for multi-input multi-output visible light communications (MIMO VLC). We provide an analytical expression on power allocation subject to the function of maximizing the lower bound of capacity according to the optical wireless communication channel model. The expression is rather different from the radio frequency (RF) communications due to the non-negativity of the transmitted signals in VLC. Furthermore, we design an adaptive bit loading scheme for sub-streams with consideration of the tremendous gain difference among subchannels. Performances of the proposed adaptive power and bits ...


A Parallel Evolutionary Strategy For The Large-Scale Dynamic Optimal Reactive Power Flow, Chixin Xiao, Danny Sutanto, Kashem M. Muttaqi, Minjie Zhang Jan 2020

A Parallel Evolutionary Strategy For The Large-Scale Dynamic Optimal Reactive Power Flow, Chixin Xiao, Danny Sutanto, Kashem M. Muttaqi, Minjie Zhang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 IEEE. This paper proposes a parallel evolutionary strategy to solve a large-scale dynamic optimal reactive power flow (ORPF) problem to minimize the transmission losses while ensuring that the power system constraints are met, by varying the voltage magnitude of generators, the transformer taps and all reactive power support, installed in the power system. The existing heuristic algorithms are time-consuming due to the large number of sequential calculations that need to be carried out. This paper proposes the use of a parallel evolutionary strategy to speed up the optimization of a large-scale ORPF problem based on the orthogonal design and ...


Deep Gabor Neural Network For Automatic Detection Of Mine-Like Objects In Sonar Imagery, Hoang Thanh Le, Son Lam Phung, Philip B. Chapple, Abdesselam Bouzerdoum, Christian H. Ritz, Le Chung Tran Jan 2020

Deep Gabor Neural Network For Automatic Detection Of Mine-Like Objects In Sonar Imagery, Hoang Thanh Le, Son Lam Phung, Philip B. Chapple, Abdesselam Bouzerdoum, Christian H. Ritz, Le Chung Tran

Faculty of Engineering and Information Sciences - Papers: Part B

With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. High-resolution imaging sonars can be mounted on various survey platforms, typically autonomous underwater vehicles, which provide enhanced speed and improved data quality with long-range support. This paper addresses the automatic detection of mine-like objects using sonar images. The proposed Gabor-based detector is designed as a feature pyramid network with a small number of trainable weights. Our approach combines both semantically weak and strong features to handle mine-like objects at multiple scales effectively. For feature extraction, we introduce a parameterized ...


Quality Assurance Of Vmat On Flattened And Flattening Filter-Free Accelerators Using A High Spatial Resolution Detector, F Matar, Dean Wilkinson, Jeremy A. Davis, Giordano Biasi, Trent Causer, Iolanda Fuduli, Owen Brace, Nauljun Stansook, Martin G. Carolan, Anatoly B. Rosenfeld, Marco Petasecca Jan 2020

Quality Assurance Of Vmat On Flattened And Flattening Filter-Free Accelerators Using A High Spatial Resolution Detector, F Matar, Dean Wilkinson, Jeremy A. Davis, Giordano Biasi, Trent Causer, Iolanda Fuduli, Owen Brace, Nauljun Stansook, Martin G. Carolan, Anatoly B. Rosenfeld, Marco Petasecca

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine Purpose: This study investigated the use of high spatial resolution solid-state detectors (DUO and Octa) combined with an inclinometer for machine-based quality assurance (QA) of Volumetric Modulated Arc Therapy (VMAT) with flattened and flattening filter-free beams. Method: The proposed system was inserted in the accessory tray of the gantry head of a Varian 21iX Clinac and a Truebeam linear accelerator. Mutual dependence of the dose rate (DR) and gantry speed (GS) was assessed using the standard Varian ...


Mri-Linac Beam Profile Measurements Using A Plastic Scintillation Dosimeter., Levi Madden, James Archer, Enbang Li, Urszula Jelen, Bin Dong, Lois C. Holloway, Anatoly B. Rosenfeld Jan 2020

Mri-Linac Beam Profile Measurements Using A Plastic Scintillation Dosimeter., Levi Madden, James Archer, Enbang Li, Urszula Jelen, Bin Dong, Lois C. Holloway, Anatoly B. Rosenfeld

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Associazione Italiana di Fisica Medica Plastic scintillation dosimeters (PSDs) possess many desirable qualities for dosimetry with LINACs. These qualities are expected to make PSDs effective for MRI-LINAC dosimetry, however little research has been conducted investigating their dosimetric performance with MRI-LINACs. In this work, an in-house PSD was used to measure 8 beam profiles with an in-line MRI-LINAC, compared with film measurements. One dimensional global gamma indices (γ) and corresponding γ pass rates were calculated to compare PSD and film profiles for the 1%/1 mm, 2%/2 mm and 3%/3 mm criterion. The mean global pass rates were ...


Impact Of The Modulus Switching Technique On Some Attacks Against Learning Problems, Quoc Huy Le, Pradeep Mishra, Satoshi Nakamura, Koha Kinjo, Dung Hoang Duong, Masaya Yasuda Jan 2020

Impact Of The Modulus Switching Technique On Some Attacks Against Learning Problems, Quoc Huy Le, Pradeep Mishra, Satoshi Nakamura, Koha Kinjo, Dung Hoang Duong, Masaya Yasuda

Faculty of Engineering and Information Sciences - Papers: Part B

© The Institution of Engineering and Technology 2019. The modulus switching technique has been used in some cryptographic applications as well as in cryptanalysis. For cryptanalysis against the learning with errors (LWE) problem and the learning with rounding (LWR) problem, it seems that one does not know whether the technique is really useful or not. This work supplies a complete view of the impact of this technique on the decoding attack, the dual attack and the primal attack against both LWE and LWR. For each attack, the authors give the optimal formula for the switching modulus. The formulas get involved the ...