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Full-Text Articles in Engineering

A Hybrid Unsupervised Clustering-Based Anomaly Detection Method, Guo Pu, Lijuan Wang, Jun Shen, Fang Dong Jan 2021

A Hybrid Unsupervised Clustering-Based Anomaly Detection Method, Guo Pu, Lijuan Wang, Jun Shen, Fang Dong

Faculty of Engineering and Information Sciences - Papers: Part B

In recent years, machine learning-based cyber intrusion detection methods have gained increasing popularity. The number and complexity of new attacks continue to rise; therefore, effective and intelligent solutions are necessary. Unsupervised machine learning techniques are particularly appealing to intrusion detection systems since they can detect known and unknown types of attacks as well as zero-day attacks. In the current paper, we present an unsupervised anomaly detection method, which combines Sub-Space Clustering (SSC) and One Class Support Vector Machine (OCSVM) to detect attacks without any prior knowledge. The proposed approach is evaluated using the well-known NSL-KDD dataset. The experimental results demonstrate ...


Towards A More Effective Bidirectional Lstm-Based Learning Model For Human-Bacterium Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin Jan 2021

Towards A More Effective Bidirectional Lstm-Based Learning Model For Human-Bacterium Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin

Faculty of Engineering and Information Sciences - Papers: Part B

The identification of protein-protein interaction (PPI) is one of the most important tasks to understand the biological functions and disease mechanisms. Although numerous databases of biological interactions have been published in debt to advanced high-throughput technology, the study of inter-species protein-protein interactions, especially between human and bacterium pathogens, remains an active yet challenging topic to harness computational models tackling the complex analysis and prediction tasks. In this paper, we comprehensively revisit the prediction task of human-bacterium protein-protein interactions (HB-PPI), which is a first ever endeavour to report an empirical evaluation in learning and predicting HB-PPI based on machine learning models ...


Mlc Tracking For Lung Sabr Is Feasible, Efficient And Delivers High-Precision Target Dose And Lower Normal Tissue Dose, Jeremy Booth, Vincent Caillet, Adam Briggs, Nicholas G. Hardcastle, Georgios Angelis, Dasantha Jayamanne, Meegan Shepherd, Alexander Podreka, Kathryn Szymura, Doan Nguyen, Per Poulsen, Ricky O'Brien, Benjamin Harris, Carol Haddad, Thomas Eade, Paul Keall Jan 2021

Mlc Tracking For Lung Sabr Is Feasible, Efficient And Delivers High-Precision Target Dose And Lower Normal Tissue Dose, Jeremy Booth, Vincent Caillet, Adam Briggs, Nicholas G. Hardcastle, Georgios Angelis, Dasantha Jayamanne, Meegan Shepherd, Alexander Podreka, Kathryn Szymura, Doan Nguyen, Per Poulsen, Ricky O'Brien, Benjamin Harris, Carol Haddad, Thomas Eade, Paul Keall

Faculty of Engineering and Information Sciences - Papers: Part B

Background and purpose: The purpose of this work is to present the clinical experience from the first-in-human trial of real-time tumor targeting via MLC tracking for stereotactic ablative body radiotherapy (SABR) of lung lesions. Methods and materials: Seventeen patients with stage 1 non-small cell lung cancer (NSCLC) or lung metastases were included in a study of electromagnetic transponder–guided MLC tracking for SABR (NCT02514512). Patients had electromagnetic transponders inserted near the tumor. An MLC tracking SABR plan was generated with planning target volume (PTV) expanded 5 mm from the end-exhale gross tumor volume (GTV). A clinically approved comparator plan was ...


Laboratory Learning Objectives Measurement: Relationships Between Student Evaluation Scores And Perceived Learning, Sasha Nikolic, Thomas Suesse, Kosta Jovanovic, Zarko Stanisavljevic Jan 2021

Laboratory Learning Objectives Measurement: Relationships Between Student Evaluation Scores And Perceived Learning, Sasha Nikolic, Thomas Suesse, Kosta Jovanovic, Zarko Stanisavljevic

Faculty of Engineering and Information Sciences - Papers: Part B

Contribution: This article provides evidence that perceived learning has a relationship and influences the way students evaluate laboratory experiments, facilities, and demonstrators. Background: Debate continues on the capability and/or reliability of students to evaluate teaching and/or learning. Understanding such relationships can help educators decode evaluation data to develop more effective teaching experiences. Research Question: Does a relationship exist between student evaluation scores and perceived learning? Methodology: Perceived learning across the cognitive, psychomotor, and affective domains was measured using the Laboratory Learning Objectives Measurement (LLOM) tool at an Australian (344 students) and Serbian (181 students) university. A multilevel statistical ...


Microstructural Evolution Of Hybrid Aluminum Matrix Composites Reinforced With Sic Nanoparticles And Graphene/Graphite Prepared By Powder Metallurgy, Jiangshan Zhang, Qing Liu, Shufeng Yang, Zhixin Chen, Qiang Liu, Zhengyi Jiang Jan 2020

Microstructural Evolution Of Hybrid Aluminum Matrix Composites Reinforced With Sic Nanoparticles And Graphene/Graphite Prepared By Powder Metallurgy, Jiangshan Zhang, Qing Liu, Shufeng Yang, Zhixin Chen, Qiang Liu, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020 Chinese Materials Research Society The dispersion of ceramic nanoparticles is of significance to the microstructure and properties of particulate reinforced metal matrix composites. In this study, two hybrid enhancers, SiC-graphite and SiC-graphene nanosheets (GNSs), were incorporated into aluminum matrix composites using powder metallurgy. The dispersion of the reinforcements and microstructural evolution of the composites were characterized by using Scanning Electron Microscopy, X-Ray Diffraction, Transmission Electron Microscopy, and Raman spectroscopy. The results show that thin GNSs accelerated the deformation of the aluminum particles, and defects were introduced into the carbonaceous phases during the ball milling process. Al4C3 needles generated during ...


Ecological, Economical And Technological Perspectives Based Sustainability Assessment In Hybrid-Cooling Assisted Machining Of Ti-6al-4 V Alloy, Munish Gupta, Qinghua Song, Zhanqiang Liu, Murat Sarikaya, Muhammad Jamil, Mozammel Mia, Vinod Kushvaha, Anil Singla, Zhixiong Li Jan 2020

Ecological, Economical And Technological Perspectives Based Sustainability Assessment In Hybrid-Cooling Assisted Machining Of Ti-6al-4 V Alloy, Munish Gupta, Qinghua Song, Zhanqiang Liu, Murat Sarikaya, Muhammad Jamil, Mozammel Mia, Vinod Kushvaha, Anil Singla, Zhixiong Li

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020 Elsevier B.V. Ti-6Al-4 V alloy is a well-acknowledged standard material for the application of modern aerospace, surgical equipment, and prosthetic body parts owing to its stable thermo-physical properties at elevated temperature. However, this structure stability imparts its low thermal conductivity that leads to buildup of heat at tool-workpiece interface during machining which subsequently has a damaging effect on the tool cutting edge. Several biodegradable cutting fluids have already been attempted controlling the heat generation, environmental footprints to improve the overall machinability. In this endeavor, the effectiveness of dry, liquid nitrogen (LN2) and hybrid cryogenic and minimum quantity lubrication ...


Hybrid Translation And Language Model For Micro Learning Material Recommendation, Jiayin Lin Jan 2020

Hybrid Translation And Language Model For Micro Learning Material Recommendation, Jiayin Lin

Faculty of Engineering and Information Sciences - Papers: Part A

As an emerging pedagogy, micro learning aims to make use of people’s fragmented spare time and provide personalized online learning service, for example, by pushing fragmented knowledge to specific learners. In the context of big data, the recommender system is the key factor for realizing the online personalization service, which significantly determines what information will be fmally accessed by the target learners. In the education discipline, due to the pedagogical requirements and the domain characteristics, ranking recommended learning materials is essential for maintaining the outcome of the massive learning scenario. However, many widely used recommendation strategies in other domains ...


Pressure-Drop Modelling In The Softening And Melting Test For Ferrous Burden, Subhasish Mitra, Xinliang Liu, Tom Honeyands, Geoffrey Evans, Damien O'Dea, Paul Zulli Jan 2020

Pressure-Drop Modelling In The Softening And Melting Test For Ferrous Burden, Subhasish Mitra, Xinliang Liu, Tom Honeyands, Geoffrey Evans, Damien O'Dea, Paul Zulli

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020 ISIJ The softening and melting (SM) under load test is routinely conducted to assess the quality of ferrous burden materials and to predict their possible performance in blast furnace. Due to complex phase interactions coupled with chemical reactions at an elevated temperature range (~973 to 1 873 K), the flow dynamics in the test system are quite complex. This study systematically investigates the contraction behaviour and associated pressure drop in a SM test bed for sinter, lump (NBLL, Newman Blend Lump) and a mixture of these two types of ore (21 wt% NBLL + 79 wt% sinter). To quantify the ...


Recent Advancements In G-C3n4-Based Photocatalysts For Photocatalytic Co2reduction: A Mini Review, Runlu Liu, Zhixin Chen, Yao Yao, Yao Li, Waqas A. Cheema, Dawei Wang, Shenmin Zhu Jan 2020

Recent Advancements In G-C3n4-Based Photocatalysts For Photocatalytic Co2reduction: A Mini Review, Runlu Liu, Zhixin Chen, Yao Yao, Yao Li, Waqas A. Cheema, Dawei Wang, Shenmin Zhu

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020 The Royal Society of Chemistry. Carbon dioxide (CO2) is a very important micro-molecular resource. Using CO2 captured from the atmosphere for high-output synthesis of chemicals as raw materials has great significance and potential for various industrial applications. Since the industrial revolution in the 18th century, manmade CO2 emission has increased by 45%, which negatively impacts the planetary climate by the so-called greenhouse effect. Therefore, high-efficiency photocatalysis and photocatalysts for CO2 conversion have become the most important challenges and milestones throughout the world. In consideration of this, various catalysts have been explored. Among these, graphitic carbon nitride (g-C3N4) as a ...


Towards Mr-Guided Electron Therapy: Measurement And Simulation Of Clinical Electron Beams In Magnetic Fields, R Kueng, Bradley M. Oborn, N Roberts, Trent Causer, M Stampanoni, P Manser, P Keall, M Fix Jan 2020

Towards Mr-Guided Electron Therapy: Measurement And Simulation Of Clinical Electron Beams In Magnetic Fields, R Kueng, Bradley M. Oborn, N Roberts, Trent Causer, M Stampanoni, P Manser, P Keall, M Fix

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020 Associazione Italiana di Fisica Medica Purpose: In the current era of MRI-linac radiotherapy, dose optimization with arbitrary dose distributions is a reality. For the first time, we present new and targeted experiments and modeling to aid in evaluating the potential dose improvements offered with an electron beam mode during MRI-linac radiotherapy. Methods: Small collimated (1 cm diameter and 1.5 × 1.5 cm2 square) electron beams (6, 12 and 20 MeV) from a clinical linear accelerator (Varian Clinac 2100C) are incident perpendicular and parallel to the strong and localized magnetic fields (0–0.7 T) generated by a permanent ...


Using Cost-Sensitive Learning And Feature Selection Algorithms To Improve The Performance Of Imbalanced Classification, Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang Jan 2020

Using Cost-Sensitive Learning And Feature Selection Algorithms To Improve The Performance Of Imbalanced Classification, Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang

Faculty of Engineering and Information Sciences - Papers: Part A

Imbalanced data problem is widely present in network intrusion detection, spam filtering, biomedical engineering, finance, science, being a challenge in many real-life data-intensive applications. Classifier bias occurs when traditional classification algorithms are used to deal with imbalanced data. As already known, the General Vector Machine (GVM) algorithm has good generalization ability, though it does not work well for the imbalanced classification. Additionally, the state-of-the-art Binary Ant Lion Optimizer (BALO) algorithm has high exploitability and fast convergence rate. Based on these facts, we have proposed in this paper a Cost-sensitive Feature selection General Vector Machine (CFGVM) algorithm based on GVM and ...


Automatic Ventricular Nuclear Magnetic Resonance Image Processing With Deep Learning, Binbin Yong, Chen Wang, Jun Shen, Fucun Li, Hang Yin Jan 2020

Automatic Ventricular Nuclear Magnetic Resonance Image Processing With Deep Learning, Binbin Yong, Chen Wang, Jun Shen, Fucun Li, Hang Yin

Faculty of Engineering and Information Sciences - Papers: Part A

Cardiovascular diseases (CVD) seriously threaten the health of human beings, and they have caused widespread concern in recent years. At present, the diagnosis of CVD is mainly conducted by computed tomography (CT), echocardiography and nuclear magnetic resonance (NMR) technologies. NMR imaging technology is widely used in medical applications owing to its characteristics of high resolution and very low radiation. However, manual NMR image segmentation is time-consuming and error-prone, which has led to the research on automatic NMR image segmentation technologies. Researchers tend to explore the ventricular NRM image segmentation to improve the accuracy of CVD diagnosis. In this study, based ...


An In Situ Synchrotron Study Of The Localized B2↔B19' Phase Transformation In An Ni-Ti Alloy Subjected To Uniaxial Cyclic Loading-Unloading With Incremental Strains, Xiaohui Bian, Ahmed A. Saleh, Peter Lynch, Christopher Davies, Azdiar Adil Gazder, Elena V. Pereloma Jan 2020

An In Situ Synchrotron Study Of The Localized B2↔B19' Phase Transformation In An Ni-Ti Alloy Subjected To Uniaxial Cyclic Loading-Unloading With Incremental Strains, Xiaohui Bian, Ahmed A. Saleh, Peter Lynch, Christopher Davies, Azdiar Adil Gazder, Elena V. Pereloma

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020. High-resolution in situ synchrotron X-ray diffraction was applied to study a cold-drawn and solution-treated 56Ni-44Tiwt% alloy subjected to uniaxial cyclic loading-unloading with incremental strains. The micro-mechanical behaviour associated with the partial and repeated B2↔B19' phase transformation at the centre of the sample gauge length was studied with respect to the macroscopic stress-strain response. The lattice strains of the (110)B2 and different B19' grain families are affected by (i) the transformation strain, the load-bearing capacity of both phases and the strain continuity maintained at/near the B2-B19' interfaces at the centre of the gauge length, and (ii) the ...


Autonomous Control Strategy For Microgrid Operating Modes Smooth Transition, Yaran Li, Long Fu, Ke Meng, Zhao Dong, Kashem M. Muttaqi, Wenli Du Jan 2020

Autonomous Control Strategy For Microgrid Operating Modes Smooth Transition, Yaran Li, Long Fu, Ke Meng, Zhao Dong, Kashem M. Muttaqi, Wenli Du

Faculty of Engineering and Information Sciences - Papers: Part A

© 2013 IEEE. Microgrid transition between standalone and grid-connected modes is a promising alternative to provide the grid with increasing flexibility and availability. However, transition smoothness relies heavily on control topologies and corresponding parameters, which thus remains challengeable. Existing microgrid transition strategies have two major deficiencies: 1) Inverter control mode alters subjected to microgrid operating mode, for instance, the inverter in current control will switch to voltage control when microgrid disconnects to the utility grid; 2) Controller parameters are selected based on practice and experience, where a systematic and efficient approach does not exist. Motivated by these limitations, in this paper ...


A 3d Printed Modular Soft Gripper For Conformal Grasping, Charbel Tawk, Rahim Mutlu, Gursel Alici Jan 2020

A 3d Printed Modular Soft Gripper For Conformal Grasping, Charbel Tawk, Rahim Mutlu, Gursel Alici

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020 IEEE. In this work, a 3D printed modular soft gripper with highly conformal soft fingers was developed. A soft auxetic structure with compliant ribs is 3D printed simultaneously with each soft pneumatic finger for conformal grasping. The fingers of the soft gripper were printed monolithically, without requiring support material and postprocessing, using a low-cost and open-source fused deposition modeling (FDM) 3D printer that employs a commercially available thermoplastic polyurethane (TPU). The soft fingers of the gripper were optimized using finite element modeling (FEM). The FE simulations accurately predicted the performance of the fingers in terms of deformation and blocked ...


An International Survey On The Clinical Use Of Rigid And Deformable Image Registration In Radiotherapy, Johnson Yuen, Jeffrey Barber, Anna C. Ralston, Alison Gray, Amy L. Walker, Nicholas G. Hardcastle, Laurel Schmidt, Kristie Harrison, Joel Poder, Jonathan Sykes, Michael G. Jameson Jan 2020

An International Survey On The Clinical Use Of Rigid And Deformable Image Registration In Radiotherapy, Johnson Yuen, Jeffrey Barber, Anna C. Ralston, Alison Gray, Amy L. Walker, Nicholas G. Hardcastle, Laurel Schmidt, Kristie Harrison, Joel Poder, Jonathan Sykes, Michael G. Jameson

Faculty of Engineering and Information Sciences - Papers: Part A

Objectives: Rigid image registration (RIR) and deformable image registration (DIR) are widely used in radiotherapy. This project aims to capture current international approaches to image registration. Methods: A survey was designed to identify variations in use, resources, implementation, and decision-making criteria for clinical image registration. This was distributed to radiotherapy centers internationally in 2018. Results: There were 57 responses internationally, from the Americas (46%), Australia/New Zealand (32%), Europe (12%), and Asia (10%). Rigid image registration and DIR were used clinically for computed tomography (CT)-CT registration (96% and 51%, respectively), followed by CT-PET (81% and 47%), CT-CBCT (84% and ...


Graphene Oxide–Based Nanomaterials: An Insight Into Retinal Prosthesis, Jia Yang, Zih Yu, Sheng Cheng, Johnson Chung, Xiao Liu, Chung Wu, Shien Lin, Guan Chen Jan 2020

Graphene Oxide–Based Nanomaterials: An Insight Into Retinal Prosthesis, Jia Yang, Zih Yu, Sheng Cheng, Johnson Chung, Xiao Liu, Chung Wu, Shien Lin, Guan Chen

Australian Institute for Innovative Materials - Papers

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Retinal prosthesis has recently emerged as a treatment strategy for retinopathies, providing excellent assistance in the treatment of age-related macular degeneration (AMD) and retinitis pigmentosa. The potential application of graphene oxide (GO), a highly biocompatible nanomaterial with superior physicochemical properties, in the fabrication of electrodes for retinal prosthesis, is reviewed in this article. This review integrates insights from biological medicine and nanotechnology, with electronic and electrical engineering technological breakthroughs, and aims to highlight innovative objectives in developing biomedical applications of retinal prosthesis.


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 ...


Sharkeye: Real-Time Autonomous Personal Shark Alerting Via Aerial Surveillance, Robert A. Gorkin Iii, Kye Adams, Matthew J. Berryman, Sam Aubin, Wanqing Li, Andrew R. Davis, Johan Barthelemy Jan 2020

Sharkeye: Real-Time Autonomous Personal Shark Alerting Via Aerial Surveillance, Robert A. Gorkin Iii, Kye Adams, Matthew J. Berryman, Sam Aubin, Wanqing Li, Andrew R. Davis, Johan Barthelemy

SMART Infrastructure Facility - Papers

While aerial shark spotting has been a standard practice for beach safety for decades, new technologies offer enhanced opportunities, ranging from drones/unmanned aerial vehicles (UAVs) that provide new viewing capabilities, to new apps that provide beachgoers with up-to-date risk analysis before entering the water. This report describes the Sharkeye platform, a first-of-its-kind project to demonstrate personal shark alerting for beachgoers in the water and on land, leveraging innovative UAV image collection, cloud-hosted machine learning detection algorithms, and reporting via smart wearables. To execute, our team developed a novel detection algorithm trained via machine learning based on aerial footage of ...


Towards Agent-Based Traffic Simulation Using Live Data From Sensors For Smart Cities, Johan Barthelemy, Yan Qian, Pascal Perez Jan 2020

Towards Agent-Based Traffic Simulation Using Live Data From Sensors For Smart Cities, Johan Barthelemy, Yan Qian, Pascal Perez

SMART Infrastructure Facility - Papers

The Smart City and Internet-of-Things revolutions enable the collection of various types of data in real-time through sensors. This data can be used to improve the decision tools and simulations used by city planners. This paper presents a new framework for real-time traffic simulation integrating an agent-based methodology with live CCTV and other sensor data while respecting the privacy regulations. The framework simulates traffic flows of pedestrians, vehicles and bicycles and their interactions. The approach has been applied in Liverpool (NSW, Australia) showing promising preliminary results and can easily ingest additional sensor data, e.g. air quality.


Fabrication Of Aligned Biomimetic Gellan Gum-Chitosan Microstructures Through 3d Printed Microfluidic Channels And Multiple In Situ Cross-Linking Mechanisms, Thomas Robinson, Sepehr Talebian, Javad Foroughi, Zhilian Yue, Cormac Fay, Gordon G. Wallace Jan 2020

Fabrication Of Aligned Biomimetic Gellan Gum-Chitosan Microstructures Through 3d Printed Microfluidic Channels And Multiple In Situ Cross-Linking Mechanisms, Thomas Robinson, Sepehr Talebian, Javad Foroughi, Zhilian Yue, Cormac Fay, Gordon G. Wallace

SMART Infrastructure Facility - Papers

In this study we use a combination of ionic- and photo-cross-linking to develop a fabrication method for producing biocompatible microstructures using a methacrylated gellan gum (a polyanion) and chitosan (a polycation) in addition to lithium phenyl-2,4,6-trimethylbenzoylphosphinate (LAP) as the photoinitiator. This work involves the development of a low-cost, portable 3D bioprinter and a customized extrusion mechanism for controlled introduction of the materials through a 3D printed microfluidic nozzle, before being cross-linked in situ to form robust microstructure bundles. The formed microstructures yielded a diameter of less than 1 μm and a tensile strength range of ∼1 MPa. This ...


A Game-Based Approach To Exploring Gender Differences In Smallholder Decisions To Change Farming Practices: White Rice Production In Laos, Silva Larson, Anne Giger-Dray, Tina Cornioley, Manithaythip Thephavanh, Phomma Thammavong, Sisavan Vorlasan, John Connell, Magnus Moglia, Peter Case, Kim Alexander, Pascal Perez Jan 2020

A Game-Based Approach To Exploring Gender Differences In Smallholder Decisions To Change Farming Practices: White Rice Production In Laos, Silva Larson, Anne Giger-Dray, Tina Cornioley, Manithaythip Thephavanh, Phomma Thammavong, Sisavan Vorlasan, John Connell, Magnus Moglia, Peter Case, Kim Alexander, Pascal Perez

SMART Infrastructure Facility - Papers

© 2020 by the authors. What influences farmers' decisions to adopt agricultural technologies is an important question for international agricultural research projects. There are often interpersonal differences between women and men that influence the adoption of decisions and behaviours, but few studies in the literature focus on these factors. We describe a game-based approach to explore decision-making processes underpinning the adoption of new farming technologies and practices in Lao People's Democratic Republic. Sowing a different rice variety is the tailored technology. The game explored adoption behaviours influencing decisions on transitioning from growing glutinous rice, a traditional variety preferred for consumption ...


Outage Probability And Throughput Analyses In Full-Duplex Relaying Systems With Energy Transfer, Jiaman Li, Le Chung Tran, Farzad Safaei Jan 2020

Outage Probability And Throughput Analyses In Full-Duplex Relaying Systems With Energy Transfer, Jiaman Li, Le Chung Tran, Farzad Safaei

Faculty of Engineering and Information Sciences - Papers: Part B

In this article, we consider a dual-hop full-duplex (FD), amplify-and-forward, orthogonal frequency division multiplexing (OFDM) relaying network, where the relay operates based on a time-switching architecture to harvest energy from radio frequency signals. We use a polarization-enabled digital self-interference cancellation (PDC) scheme to cancel the self-interference signal at the relay in order to achieve FD communications. The paper provides a comprehensive analysis of the system performances in terms of outage probability and throughput over multipath Rayleigh fading channels. Furthermore, the optimal time split between the duration of energy harvesting and signal transmission to maximize the system throughput is numerically calculated ...


Periodic Lattice Porous Structure Produced By Selective Laser Melting: Process, Experiment And Numerical Simulation Analysis, Jianrui Zhang, Min Chi, Bo Qian, Zhijun Qiu Jan 2020

Periodic Lattice Porous Structure Produced By Selective Laser Melting: Process, Experiment And Numerical Simulation Analysis, Jianrui Zhang, Min Chi, Bo Qian, Zhijun Qiu

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Tech Science Press. All rights reserved. To accurately perform the coupled simulation of temperature field and stress field of complex parts and porous structures under the optimal manufacturing process parameters, three kinds of porous structures with different complexity were designed in this paper. Firstly, ANSYS additive software was used to conduct the stress/deformation simulation of the whole structure under different scanning strategies. Secondly, the optimal scanning strategy for different porous structures was determined, then the experimental preparation was performed, and mechanical properties of compression were tested and studied. The results show that the elastic modulus and yield strength ...


Three-Dimensional Velocity Distribution In Straight Smooth Channels Modeled By Modified Log-Law, Shu-Qing Yang, Muhammad Zain Bin Riaz, Muttucumaru Sivakumar, Keith Enever, Nadeeka Miguntanna Jan 2020

Three-Dimensional Velocity Distribution In Straight Smooth Channels Modeled By Modified Log-Law, Shu-Qing Yang, Muhammad Zain Bin Riaz, Muttucumaru Sivakumar, Keith Enever, Nadeeka Miguntanna

Faculty of Engineering and Information Sciences - Papers: Part B

Time-average velocity distribution in steady and uniform channel flows is important for fundamental research and practical application as it is always three-dimensional (3D), regardless of channel geometry. However, its determination has predominantly been carried out by using complex numerical software, even for the simplest geometry such as rectangular channels. The log-law was developed initially for circular pipe flows, where a single shear velocity is used to normalize the velocity (u+) and its distance (y+). Tracy and Lester found that the performance of the log-law can be extended to express velocity profiles in rectangular channels when the global shear velocities (gRS ...


Design And Optimization Of A Novel Dual-Port Linear Generator For Oceanic Wave Energy Conversion, Omar Farrok, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto, Jianguo Zhu Jan 2020

Design And Optimization Of A Novel Dual-Port Linear Generator For Oceanic Wave Energy Conversion, Omar Farrok, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto, Jianguo Zhu

Faculty of Engineering and Information Sciences - Papers: Part B

All the existing linear generators used for oceanic wave energy conversions are basically a single-port linear electrical generators (SPLEGs). The conventional SPLEG transfers electrical power to the load/grid discontinuously due to its working principle and the intermittent nature of oceanic waves. This paper proposes a new dual-port linear electrical generator (DPLEG) topology, which is capable to transfer electrical power with an adequate voltage even at zero vertical velocity of the oceanic wave. The analysis shows that the efficiency and the performance of the DPLEG depend greatly on the stator tooth design. For this reason, the proposed DPLEG is optimized ...


Barriers And Facilitators That Influence Telemedicine-Based, Real-Time, Online Consultation At Patients' Homes: Systematic Literature Review, Hassan Almathami, Khin Than Win, Elena Vlahu-Gjorgievska Jan 2020

Barriers And Facilitators That Influence Telemedicine-Based, Real-Time, Online Consultation At Patients' Homes: Systematic Literature Review, Hassan Almathami, Khin Than Win, Elena Vlahu-Gjorgievska

Faculty of Engineering and Information Sciences - Papers: Part B

©Hassan Khader Y Almathami, Khin Than Win, Elena Vlahu-Gjorgievska. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.02.2020. BACKGROUND: Health care providers are adopting information and communication technologies (ICTs) to enhance their services. Telemedicine is one of the services that rely heavily on ICTs to enable remote patients to communicate with health care professionals; in this case, the patient communicates with the health care professional for a follow-up or for a consultation about his or her health condition. This communication process is referred to as an e-consultation. In this paper, telemedicine services refer ...


Is Another Huge And Costly Road Project Really Sydney's Best Option Right Now?, Philip G. Laird Jan 2020

Is Another Huge And Costly Road Project Really Sydney's Best Option Right Now?, Philip G. Laird

Faculty of Engineering and Information Sciences - Papers: Part B

The New South Wales government has focused on delivering more motorways and rail links for Sydney, along with main roads in regional NSW, since the Coalition won office in 2011. The biggest of these, WestConnex, is still being built. Plans for yet another major motorway, the Western Harbour Tunnel and Beaches Link, are well advanced.


Modeling A Thick Hydrogenated Amorphous Silicon Substrate For Ionizing Radiation Detectors, Jeremy A. Davis, Maurizio Boscardin, Michele Crivellari, Livio Fano, Matthew Large, Mauro Menichelli, Arianna Morozzi, Francesco Moscatelli, Maria Movileanu-Ionica, Daniele Passeri, Marco Petasecca, Mauro Piccini, Alessandro Rossi, Andrea Scorzoni, Bailey Thompson, Giovanni Verzellesi, Nicolas Wyrsch Jan 2020

Modeling A Thick Hydrogenated Amorphous Silicon Substrate For Ionizing Radiation Detectors, Jeremy A. Davis, Maurizio Boscardin, Michele Crivellari, Livio Fano, Matthew Large, Mauro Menichelli, Arianna Morozzi, Francesco Moscatelli, Maria Movileanu-Ionica, Daniele Passeri, Marco Petasecca, Mauro Piccini, Alessandro Rossi, Andrea Scorzoni, Bailey Thompson, Giovanni Verzellesi, Nicolas Wyrsch

Faculty of Engineering and Information Sciences - Papers: Part B

© Copyright © 2020 Davis, Boscardin, Crivellari, Fanò, Large, Menichelli, Morozzi, Moscatelli, Movileanu-Ionica, Passeri, Petasecca, Piccini, Rossi, Scorzoni, Thompson, Verzellesi and Wyrsch. There is currently a renewed interest in hydrogenated amorphous silicon (a-Si:H) for use in particle detection applications. Whilst this material has been comprehensively investigated from a numerical perspective within the context of photovoltaic and imaging applications, the majority of work related to its application in particle detection has been limited to experimental studies. In this study, a material model to mimic the electrical and charge collection behavior of a-Si:H is developed using the SYNOPSYS©Technology Computer Aided Design ...


Microstructure Evolution, Lattice Rotation Retardation And Grain Orientation Fragmentation In Commercial Purity Aluminium Deformed By High Pressure Torsion, Yu Liu, Cheng Lu, Hui Wang, Anh Kiet Tieu, Bin Liu Jan 2020

Microstructure Evolution, Lattice Rotation Retardation And Grain Orientation Fragmentation In Commercial Purity Aluminium Deformed By High Pressure Torsion, Yu Liu, Cheng Lu, Hui Wang, Anh Kiet Tieu, Bin Liu

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Authors. The behaviour of commercial purity aluminium processed by high pressure torsion is studied for a wide range of strains. The microstructure and texture are used to characterise the HPT deformation. Two different stages of microstructure evolution, i.e. grain fragmentation and grain elongation, are first found before attainment of steady state during HPT deformation. The grain fragmentation is not a linear function of shear strain in HPT. Significant grain refinement mainly occurs in the equivalent strain ranges of ~0 to 1 and ~11 to 32. Preferred simple shear orientations appear and vanish periodically due to the intrinsic ...