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Articles 100501 - 100530 of 713719

Full-Text Articles in Social and Behavioral Sciences

Systematic Evaluation Of Machine-Learning Methods For Identifying Human-Pathogen Protein-Protein Interactions, Huaming Chen, Fuyi Li, Lei Wang, Yaochu Jin, Chi-Hung Chi, Lukasz Kurgan, Jiangning Song, Jun Shen Jan 2020

Systematic Evaluation Of Machine-Learning Methods For Identifying Human-Pathogen Protein-Protein Interactions, Huaming Chen, Fuyi Li, Lei Wang, Yaochu Jin, Chi-Hung Chi, Lukasz Kurgan, Jiangning Song, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

In recent years, high-throughput experimental techniques have significantly enhanced the accuracy and coverage of protein–protein interaction identification, including human–pathogen protein–protein interactions (HP-PPIs). Despite this progress, experimental methods are, in general, expensive in terms of both time and labour costs, especially considering that there are enormous amounts of potential protein-interacting partners. Developing computational methods to predict interactions between human and bacteria pathogen has thus become critical and meaningful, in both facilitating the detection of interactions and mining incomplete interaction maps. In this paper, we present a systematic evaluation of machine learning-based computational methods for human–bacterium protein–protein interactions (HB-PPIs). We first reviewed …

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Necessary And Sufficient Conditions For Expressing Quadratic Rational Bézier Curves, Chaoyu Yang, Jie Yang, Ying Liu, Xianya Geng Jan 2020

Necessary And Sufficient Conditions For Expressing Quadratic Rational Bézier Curves, Chaoyu Yang, Jie Yang, Ying Liu, Xianya Geng

Faculty of Engineering and Information Sciences - Papers: Part B

© Copyright © 2020 Yang, Yang, Liu and Geng. Quadratic rational Bézier curve transformation is widely used in the field of computational geometry. In this paper, we offer several important characteristics of the quadratic rational Bézier curve. More precisely, on the basis of proving its monotonicity, the necessary and sufficient conditions for transforming a quadratic rational Bézier curve into a point, line segment, parabola, elliptic arc, circular arc, and hyperbola are proved, respectively.

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Failure Envelopes Of Square And Circularized Rc Columns Discretely Confined With Cfrp, Anh Duc Mai, M Neaz Sheikh, Muhammad N. S Hadi Jan 2020

Failure Envelopes Of Square And Circularized Rc Columns Discretely Confined With Cfrp, Anh Duc Mai, M Neaz Sheikh, Muhammad N. S Hadi

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

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The Cuntz–Toeplitz Algebras Have Nuclear Dimension One, Philip Easo, Esperanza Garijo, Sarunas Kaubrys, David Nkansah, Martin Vrabec, David Watt, Cameron Wilson, Christian Bonicke, Samuel Evington, Marzieh Forough, Sergio Giron Pacheco, Nicholas Seaton, Stuart White, Michael F. Whittaker, Joachim Zacharias Jan 2020

The Cuntz–Toeplitz Algebras Have Nuclear Dimension One, Philip Easo, Esperanza Garijo, Sarunas Kaubrys, David Nkansah, Martin Vrabec, David Watt, Cameron Wilson, Christian Bonicke, Samuel Evington, Marzieh Forough, Sergio Giron Pacheco, Nicholas Seaton, Stuart White, Michael F. Whittaker, Joachim Zacharias

Faculty of Engineering and Information Sciences - Papers: Part B

We prove that unital extensions of Kirchberg algebras by separable stable AF algebras have nuclear dimension one. The title follows.

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Html: Hierarchical Transformer-Based Multi-Task Learning For Volatility Prediction, Linyi Yang, Tin L. Ng, Barry Smyth, Riuhai Dong Jan 2020

Html: Hierarchical Transformer-Based Multi-Task Learning For Volatility Prediction, Linyi Yang, Tin L. Ng, Barry Smyth, Riuhai Dong

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 ACM. The volatility forecasting task refers to predicting the amount of variability in the price of a financial asset over a certain period. It is an important mechanism for evaluating the risk associated with an asset and, as such, is of significant theoretical and practical importance in financial analysis. While classical approaches have framed this task as a time-series prediction one - using historical pricing as a guide to future risk forecasting - recent advances in natural language processing have seen researchers turn to complementary sources of data, such as analyst reports, social media, and even the audio …

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Evaluation Of Roadway Spatial-Temporal Travel Speed Estimation Using Mapped Low-Frequency Avl Probe Data, Liqun Peng, Zhixiong Li, Chenhao Wang, Thompson Sarkodie-Gyan Jan 2020

Evaluation Of Roadway Spatial-Temporal Travel Speed Estimation Using Mapped Low-Frequency Avl Probe Data, Liqun Peng, Zhixiong Li, Chenhao Wang, Thompson Sarkodie-Gyan

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Ltd The rapid increase in the number of vehicles equipped with GPS devices has resulted in using automatic vehicle location (AVL) data as probes to identify traffic flow status as well as route travel speed on a very fine spatial-temporal scale. However, these traffic monitoring approaches heavily rely on the widely distributed probe vehicles in the network and the high frequency of these probe samples, which are rarely implemented in the real world. This study aims to analyze the applicability of providing accurate traffic flow information from four types of low-frequency AVL data. Each data source is …

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Triboelectric Nanogenerator Versus Piezoelectric Generator At Low Frequency (<4 Hz): A Quantitative Comparison, Abdelsalam Ahmed, Islam Hassan, Ahmed Helal, Vitor Sencadas, Ali Radhi, Chang Jeong, Maher El-Kady Jan 2020

Triboelectric Nanogenerator Versus Piezoelectric Generator At Low Frequency (<4 Hz): A Quantitative Comparison, Abdelsalam Ahmed, Islam Hassan, Ahmed Helal, Vitor Sencadas, Ali Radhi, Chang Jeong, Maher El-Kady

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Author(s) Triboelectric nanogenerators (TENGs) and piezoelectric generators (PGs) are generally considered the two most common approaches for harvesting ambient mechanical energy that is ubiquitous in our everyday life. The main difference between the two generators lies in their respective working frequency range. Despite the remarkable progress, there has been no quantitative studies on the operating frequency band of the two generators at frequency values below 4 Hz, typical of human motion. Here, the two generators are systematically compared based on their energy harvesting capabilities below 4 Hz. Unlike PGs, the TENG demonstrates higher power performance and is …

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Influence Of Upstream Strut On Hydrogen Fuel Distribution Inside The Supersonic Combustion Chamber, Yu Jiang, M Barzegar, M Sheikholeslami, Houman Babazadeh, Ahmad Shafee, R Moradi, Zhixiong Li Jan 2020

Influence Of Upstream Strut On Hydrogen Fuel Distribution Inside The Supersonic Combustion Chamber, Yu Jiang, M Barzegar, M Sheikholeslami, Houman Babazadeh, Ahmad Shafee, R Moradi, Zhixiong Li

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Hydrogen Energy Publications LLC The efficient fuel mixing in the combustion tank enhances the overall performance of scramjet. Current attempt examines the existence of the strut on the fuel mixing of the multi hydrogen jets at supersonic flow. The numerical approach was employed to visualize the 3D flow behind the strut with multi fuel-jets. The free-stream Mach is 2.2, and four multi jets released hydrogen inside the combustor with the sonic condition. The impact of jet arrangements and the total pressure ratio on the mixing effect of the strut is fully described. Our results indicate that fuel mixing …

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Effect Of Inclined Block On Fuel Mixing Of Multi Hydrogen Jets In Scramjet Engine, Zhixiong Li, M Barzegar Gerdroodbary, R Moradi, Tran Manh, Houman Babazadeh Jan 2020

Effect Of Inclined Block On Fuel Mixing Of Multi Hydrogen Jets In Scramjet Engine, Zhixiong Li, M Barzegar Gerdroodbary, R Moradi, Tran Manh, Houman Babazadeh

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Masson SAS Penetration and distribution of fuel inside the supersonic combustor significantly influence on the overall performance of the scramjet. This research employed the numerical technique to examine the mixing performance of the multi-hydrogen jets at supersonic airflow when the downstream step exists in the downstream of the jet. CFD simulations are conducted to disclose the feature of multi jets when a downstream step is applied. The effects of back step height, free stream Mach number and fuel jet pressure on the mixing efficiency of the four hydrogen jets are disclosed. Our study indicates that decreasing the …

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Takagi-Sugeno Fuzzy Model-Based Semi-Active Control For The Seat Suspension With An Electrorheological Damper, Xin Tang, Donghong Ning, Haiping Du, Weihua Li, Weijia Wen Jan 2020

Takagi-Sugeno Fuzzy Model-Based Semi-Active Control For The Seat Suspension With An Electrorheological Damper, Xin Tang, Donghong Ning, Haiping Du, Weihua Li, Weijia Wen

Faculty of Engineering and Information Sciences - Papers: Part B

Numerous research studies have been performed to help develop advanced control algorithms for semi-active seat suspension. This paper experimentally investigates a state observer-based Takagi-Sugeno (T-S) fuzzy controller for a semi-active seat suspension by equipping an electrorheological (ER) damper. A new ER damper prototype is designed, assembled, and tested. Then, a T-S fuzzy model is established to describe the ER seat suspension, which can facilitate the $\text{H}\infty $ controller design considering the multi-objective optimization. A state observer is established and integrated into the controller to estimate the state information for the T-S fuzzy model in real-time. Additionally, the experimental validation of …

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An Aperiodic Monotile That Forces Nonperiodicity Through Dendrites, Michael Mampusti, Michael F. Whittaker Jan 2020

An Aperiodic Monotile That Forces Nonperiodicity Through Dendrites, Michael Mampusti, Michael F. Whittaker

Faculty of Engineering and Information Sciences - Papers: Part B

We introduce a new type of aperiodic hexagonal monotile; a prototile that admits infinitely many tilings of the plane, but any such tiling lacks any translational symmetry. Adding a copy of our monotile to a patch of tiles must satisfy two rules that apply only to adjacent tiles. The first is inspired by the Socolar–Taylor monotile, but can be realised by shape alone. The second is a dendrite rule; a direct isometry of our monotile can be added to any patch of tiles provided that a tree on the monotile connects continuously with a tree on one of its neighbouring …

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Net Section Tension Strength Of Bolted Connections In Ultra-High Strength Sheet Steel During And After Fire, Yong Cho, Lip H. Teh, Ben Young, Aziz Ahmed Jan 2020

Net Section Tension Strength Of Bolted Connections In Ultra-High Strength Sheet Steel During And After Fire, Yong Cho, Lip H. Teh, Ben Young, Aziz Ahmed

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 This paper investigates the net section tension strength of bolted connections in ultra-high strength sheet steel (yield stress greater than 1000 MPa) under various fire scenarios through laboratory testing. The specimens are tested at room (ambient) temperature and elevated temperatures up to 700 °C, and are subjected to air or water cooling from temperatures as high as 1000 °C. The degradations of the tensile strength at elevated temperatures are much more severe than design code predictions. Substantial recovery of the tensile strength is feasible using water cooling if the steel has been exposed to 1000 °C, by almost …

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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.

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Hot Deformation Behaviour And Interfacial Characteristics Of Bimetal Composite At Elevated Temperatures, Zhou Li, Jingwei Zhao, Fanghui Jia, Yao Lu, Xiaojun Liang, Xiangqian Yuan, Sihai Jiao, Cunlong Zhou, Zhengyi Jiang Jan 2020

Hot Deformation Behaviour And Interfacial Characteristics Of Bimetal Composite At Elevated Temperatures, Zhou Li, Jingwei Zhao, Fanghui Jia, Yao Lu, Xiaojun Liang, Xiangqian Yuan, Sihai Jiao, Cunlong Zhou, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Ltd The hot deformation behaviour and interfacial microstructure evolution have a critical influence on the hot workability and mechanical properties of bimetal composite. This study investigated the flow performance and interfacial characteristics of 2205 duplex stainless steel/AH36 low carbon steel bimetal composite (2205/AH36 BC) at elevated temperatures, based on the hot tensile tests over the temperature range of 950–1250 °C and strain rate range of 0.01–1 s−1. The results indicate that the deformation behaviour of 2205/AH36 BC is similar to that of AH36 low carbon steel at high temperatures, and the softening mechanism of bimetal composite significantly …

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Hydrothermal Performance Of Nanofluid Flow In A Sinusoidal Double Layer Microchannel In Order To Geometric Optimization, Wei He, Ramin Mashayekhi, Davood Toghraie, Omid Akbari, Zhixiong Li, Iskander Tlili Jan 2020

Hydrothermal Performance Of Nanofluid Flow In A Sinusoidal Double Layer Microchannel In Order To Geometric Optimization, Wei He, Ramin Mashayekhi, Davood Toghraie, Omid Akbari, Zhixiong Li, Iskander Tlili

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Ltd In this investigation, laminar flow with a hybrid nanofluid as a working fluid in a newly designed double layer microchannel with sinusoidal walls is investigated. The nanofluid is Al2O3-Cu/water hybrid nanofluid. Results indicate that changing the geometry of fluid route (wavelength of the sinusoidal wall), usage of nanofluid and increasing fluid velocity can alter Nusselt number, the maximum temperature distribution in the microchannel, Performance Evaluation Criterion and friction factor. The presence of sinusoidal wavelength across the entire microchannel can improve mixing between surface and fluid, and this mixing happens because of the slow flow of fluid …

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Unbalanced Hybrid Aoa/Rssi Localization For Simplified Wireless Sensor Networks, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Christian H. Ritz, Eryk Dutkiewicz, Son Lam Phung, Abdesselam Bouzerdoum, Daniel R. Franklin Jan 2020

Unbalanced Hybrid Aoa/Rssi Localization For Simplified Wireless Sensor Networks, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Christian H. Ritz, Eryk Dutkiewicz, Son Lam Phung, Abdesselam Bouzerdoum, Daniel R. Franklin

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. Source positioning using hybrid angle-of-arrival (AOA) estimation and received signal strength indicator (RSSI) is attractive because no synchronization is required among unknown nodes and anchors. Conventionally, hybrid AOA/RSSI localization combines the same number of these measurements to estimate the agents’ locations. However, since AOA estimation requires anchors to be equipped with large antenna arrays and complicated signal processing, this conventional combination makes the wireless sensor network (WSN) complicated. This paper proposes an unbalanced integration of the two measurements, called 1AOA/nRSSI, to simplify the WSN. Instead of using many anchors with large antenna arrays, the proposed …

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Teaching Sample Survey Design—A Project Using A Virtual Population, Carole L. Birrell Jan 2020

Teaching Sample Survey Design—A Project Using A Virtual Population, Carole L. Birrell

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020, © 2020 The Author(s). Published with license by Taylor and Francis Group, LLC. Sample survey design is a topic usually taught to students undertaking a minor or major in statistics in the latter part of their bachelor’s degree. This article describes an assessment project that fosters active learning and helps to develop a set of essential skills for statistical practice. The project is completed in pairs and submitted in two parts. This allows feedback from the first part to be acted upon for the second part. Ideally, students would gain experience sampling from an actual population. However, the …

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The Design Of Early-Stage Plant Breeding Trials Using Genetic Relatedness, Brian R. Cullis, Alison B. Smith, Nicole A. Cocks, David G. Butler Jan 2020

The Design Of Early-Stage Plant Breeding Trials Using Genetic Relatedness, Brian R. Cullis, Alison B. Smith, Nicole A. Cocks, David G. Butler

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020, The Author(s). The use of appropriate statistical methods has a key role in improving the accuracy of selection decisions in a plant breeding program. This is particularly important in the early stages of testing in which selections are based on data from a limited number of field trials that include large numbers of breeding lines with minimal replication. The method of analysis currently recommended for early-stage trials in Australia involves a linear mixed model that includes genetic relatedness via ancestral information: non-genetic effects that reflect the experimental design and a residual model that accommodates spatial dependence. Such analyses …

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Coupled Modelling And Advanced Control For Smooth Operation Of A Grid Connected Linear Electric Generator Based Wave-To-Wire System, Safdar Rasool, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto Jan 2020

Coupled Modelling And Advanced Control For Smooth Operation Of A Grid Connected Linear Electric Generator Based Wave-To-Wire System, Safdar Rasool, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto

Faculty of Engineering and Information Sciences - Papers: Part B

The perpetual oscillations of ocean waves produce potential energy, which can be converted to electrical energy with the help of direct drive linear generators. The fluctuating generated power poses a major challenge when it is supplied to the power grid. In this paper, a supercapacitor provides the short-term energy storage to buffer and smooth out the power fluctuations. A new coupled model of a wave energy converter and a linear generator is proposed for its response characterization under varying system conditions. The developed model and an advanced control strategy is used to exhibit a smooth and stable operation of the …

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Power Loss And Thermal Impedance Modeling Of Multilevel Power Converter With Discontinuous Modulation, Md Mazharul Islam, Md. Ashib Rahman, Md Rabiul Islam Jan 2020

Power Loss And Thermal Impedance Modeling Of Multilevel Power Converter With Discontinuous Modulation, Md Mazharul Islam, Md. Ashib Rahman, Md Rabiul Islam

Faculty of Engineering and Information Sciences - Papers: Part B

The hard switching operation of the insulated gate bipolar transistor (IGBT)-based multilevel converters (MLCs) in the transformer less direct integration of renewable power plants produces a considerable amount of switching and conduction power loss. This eventually causes higher junction temperature and lower thermal stability. The third harmonic sixty-degree bus-clamped pulse width modulation (BCPWM) technique demonstrates reduced switching losses and better harmonic spectra. In this paper, an analytical model for calculating the average and the rms currents for the hard switching operation of IGBTs and antiparallel diodes (APDs) is proposed. Furthermore, to calculate the device turn-on and turn-off losses, a discrete …

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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 …

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A New Data Driven Long-Term Solar Yield Analysis Model Of Photovoltaic Power Plants, Biplob Ray, Rakibuzzaman Shah, Md Rabiul Islam, Syed Islam Jan 2020

A New Data Driven Long-Term Solar Yield Analysis Model Of Photovoltaic Power Plants, Biplob Ray, Rakibuzzaman Shah, Md Rabiul Islam, Syed Islam

Faculty of Engineering and Information Sciences - Papers: Part B

Historical data offers a wealth of knowledge to the users. However, often restrictively mammoth that the information cannot be fully extracted, synthesized, and analyzed efficiently for an application such as the forecasting of variable generator outputs. Moreover, the accuracy of the prediction method is vital. Therefore, a trade-off between accuracy and efficacy is required for the data-driven energy forecasting method. It has been identified that the hybrid approach may outperform the individual technique in minimizing the error while challenging to synthesize. A hybrid deep learning-based method is proposed for the output prediction of the solar photovoltaic systems (i.e. proposed PV …

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Biomechanics Of Table Tennis: A Systematic Scoping Review Of Playing Levels And Maneuvers, Duo Wong, Winson Lee, Wing-Kai Lam Jan 2020

Biomechanics Of Table Tennis: A Systematic Scoping Review Of Playing Levels And Maneuvers, Duo Wong, Winson Lee, Wing-Kai Lam

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. This present study aims to review the available evidence on the biomechanics of table-tennis strokes. Specifically, it summarized current trends, categorized research foci, and biomechanical outcomes regarding various movement maneuvers and playing levels. Databases included wereWeb of Science, Cochrane Library, Scopus, and PubMed. Twenty-nine articles were identified meeting the inclusion criteria. Most of these articles revealed how executing different maneuvers changed the parameters related to body postures and lines of movement, which included racket face angle, trunk rotation, knee, and elbow joints. It was found that there was a lack of studies that investigated backspin …

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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. …

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Progress In Piezoelectric Material Based Oceanic Wave Energy Conversion Technology, Mahbubur Kiran, Omar Farrok, Md Abdullah-Al-Mamun, Md Rabiul Islam, Wei Xu Jan 2020

Progress In Piezoelectric Material Based Oceanic Wave Energy Conversion Technology, Mahbubur Kiran, Omar Farrok, Md Abdullah-Al-Mamun, Md Rabiul Islam, Wei Xu

Faculty of Engineering and Information Sciences - Papers: Part B

Recently, electrical engineers are paying great attention to develop oceanic wave energy conversion technologies based on the piezoelectric materials because of their excellent conveniences. Piezoelectric oceanic wave energy converters (OWECs) have several benefits over the others such as its small size, lightweight, no requirement of using intermediate device as well as having less negative impacts on the oceanic environment. Various review and research papers focus on the piezoelectric devices, their operation and application for oceanic energy conversion. But, to the best of the authors’ knowledge, none of the existing research or review papers present detailed scheme of piezoelectric device based …

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An Adaptive Feed-Forward Phase Locked Loop For Grid Synchronization Of Renewable Energy Systems Under Wide Frequency Deviations, Aravind Chellachi Kathiresan, Jeyaraj Pandiarajan, Asokan Sivaprakash, Thanikanti Sudhakar Babu, Md Rabiul Islam Jan 2020

An Adaptive Feed-Forward Phase Locked Loop For Grid Synchronization Of Renewable Energy Systems Under Wide Frequency Deviations, Aravind Chellachi Kathiresan, Jeyaraj Pandiarajan, Asokan Sivaprakash, Thanikanti Sudhakar Babu, Md Rabiul Islam

Faculty of Engineering and Information Sciences - Papers: Part B

Synchronization is a crucial problem in the grid-connected inverter’s control and operation. A phase-locked loop (PLL) is a typical grid synchronization strategy, which ought to have a high resistance to power system uncertainties since its sensitivity influences the generated reference signal. The traditional PLL catches the phase and frequency of the input signal via the feedback loop filter (LF). In general, to enhance the steady-state capability during distorted grid conditions generally, a filter tuned for nominal frequency is used. This PLL corrects large frequency deviations around the nominal frequency, which increases the PLL’s locking time. Therefore, this paper presents an …

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New Design Of Solar Photovoltaic And Thermal Hybrid System For Performance Improvement Of Solar Photovoltaic, Ridwone Hossain, Al Jumlat Ahmed, Sheik Islam, Nirupam Saha, Preetom Debnath, Abbas Z. Kouzani, M A. Mahmud Jan 2020

New Design Of Solar Photovoltaic And Thermal Hybrid System For Performance Improvement Of Solar Photovoltaic, Ridwone Hossain, Al Jumlat Ahmed, Sheik Islam, Nirupam Saha, Preetom Debnath, Abbas Z. Kouzani, M A. Mahmud

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Ridwone Hossain et al. Solar photovoltaic (PV) and solar thermal systems are most widely used renewable energy technologies. Theoretical study indicates that the energy conversion efficiency of solar photovoltaic gets reduced about 0.3% when its temperature increases by 1°C. In this regard, solar PV and thermal (PVT) hybrid systems could be a solution to draw extra heat from the solar PV panel to improve its performance by reducing its temperature. Here, we have designed a new type of heat exchanger for solar PV and thermal (PVT) hybrid systems and have studied the performance of the system. The PVT …

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Increased Dose To Organs In Urinary Tract Associates With Measures Of Genitourinary Toxicity In Pooled Voxel-Based Analysis Of 3 Randomized Phase Iii Trials, Marco Marcello, James W. Denham, Angel Kennedy, Annette Haworth, Allison Steigler, Peter B. Greer, Lois C. Holloway, Jason Dowling, Michael G. Jameson, Dale Roach, David Joseph, Sarah Gulliford, David Dearnaley, Matthew Sydes, Emma Hall, Martin Ebert Jan 2020

Increased Dose To Organs In Urinary Tract Associates With Measures Of Genitourinary Toxicity In Pooled Voxel-Based Analysis Of 3 Randomized Phase Iii Trials, Marco Marcello, James W. Denham, Angel Kennedy, Annette Haworth, Allison Steigler, Peter B. Greer, Lois C. Holloway, Jason Dowling, Michael G. Jameson, Dale Roach, David Joseph, Sarah Gulliford, David Dearnaley, Matthew Sydes, Emma Hall, Martin Ebert

Faculty of Engineering and Information Sciences - Papers: Part B

© Copyright © 2020 Marcello, Denham, Kennedy, Haworth, Steigler, Greer, Holloway, Dowling, Jameson, Roach, Joseph, Gulliford, Dearnaley, Sydes, Hall and Ebert. Purpose: Dose information from organ sub-regions has been shown to be more predictive of genitourinary toxicity than whole organ dose volume histogram information. This study aimed to identify anatomically-localized regions where 3D dose is associated with genitourinary toxicities in healthy tissues throughout the pelvic anatomy. Methods and Materials: Dose distributions for up to 656 patients of the Trans-Tasman Radiation Oncology Group 03.04 RADAR trial were deformably registered onto a single exemplar CT dataset. Voxel- based multiple comparison permutation dose …

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Pairwise-Based Hierarchical Gating Networks For Sequential Recommendation, Kexin Huang, Ye Du, Li Li, Jun Shen, Geng Sun Jan 2020

Pairwise-Based Hierarchical Gating Networks For Sequential Recommendation, Kexin Huang, Ye Du, Li Li, Jun Shen, Geng Sun

Faculty of Engineering and Information Sciences - Papers: Part B

The sequential pattern behind users’ behaviors indicates the importance of exploring the transition relationships among adjacent items in next-item recommendation task. Most existing methods based on Markov Chains or deep learning architecture have demonstrated their superiority in sequential recommendation scenario, but they have not been well-studied at a range of problems: First, the influence strength of items that the user just access might be different since not all items are equally important for modeling user’s preferences. Second, the user might assign various interests to certain parts of items, as what often attracts users is a specific feature or aspect of …

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Risk Factors Discovery For Cancer Survivability Analysis Using Graph-Rule Mining, Chaoyu Yang, Jie Yang, Zhenyu Yang Jan 2020

Risk Factors Discovery For Cancer Survivability Analysis Using Graph-Rule Mining, Chaoyu Yang, Jie Yang, Zhenyu Yang

Faculty of Engineering and Information Sciences - Papers: Part B

Mining and understanding patients' disease-development pattern is a major healthcare need. A huge number of research studies have focused on medical resource allocation, survivability prediction, risk management of diagnosis, etc. In this article, we are specifically interested in discovering risk factors for patients with high probability of developing cancers. We propose a systematic and data-driven algorithm and build around the idea of association rule mining. More precisely, the rule-mining method is firstly applied on the target dataset to unpack the underlying relationship of cancer-risk factors, via generating a set of candidate rules. Later, this set is represented as a rule …

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