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Articles 91 - 120 of 4633
Full-Text Articles in Social and Behavioral Sciences
Non-Fragile Guaranteed-Performance H∞ Leader-Following Consensus Of Lipschitz Nonlinear Multi-Agent Systems With Switching Topologies, Xiangli Jiang, Guihua Xia, Zhiguang Feng, Zhengyi Jiang
Non-Fragile Guaranteed-Performance H∞ Leader-Following Consensus Of Lipschitz Nonlinear Multi-Agent Systems With Switching Topologies, Xiangli Jiang, Guihua Xia, Zhiguang Feng, Zhengyi Jiang
Faculty of Engineering and Information Sciences - Papers: Part B
© 2020 Elsevier Ltd In this paper, the problem of non-fragile guaranteed-performance H∞ leader-following consensus protocol design for high-order multi-agent systems with Lipschitz nonlinearities and switching topologies is investigated. The communication interactions among all agents are described by a set of switching directed graphs, whose union contains a directed spanning tree rooting at the leader node. By constructing a nonsingular transformation, leader-following consensus of the concerned multi-agent system is transformed into the problem of asymptotic stability analysis for some consensus error systems. Taking into account the existences of exogenous disturbances in practical agent systems and gain perturbations in physical controller …
Vision Based Defects Detection For Keyhole Tig Welding Using Deep Learning With Visual Explanation, Chunyang Xia, Zengxi Stephen Pan, Zhenyu Fei, Shiyu Zhang, Hui Jun Li
Vision Based Defects Detection For Keyhole Tig Welding Using Deep Learning With Visual Explanation, Chunyang Xia, Zengxi Stephen Pan, Zhenyu Fei, Shiyu Zhang, Hui Jun Li
Faculty of Engineering and Information Sciences - Papers: Part B
© 2020 The Society of Manufacturing Engineers As an advanced and highly efficient welding method, Keyhole Tungsten Inert Gas (keyhole TIG) welding has drawn wide interests from the manufacturing industry. In order to improve its manufacturing quality and automation level, it's necessary to develop an online monitoring system for the keyhole TIG welding process. This study developed a visual monitoring system, which utilized an HDR welding camera to monitor the welding pool and keyhole during keyhole TIG welding process. A state of the art Convolutional neural network (Resnet) was developed to recognize different welding states, including good weld, incomplete penetration, …
Designing Dendrite-Free Zinc Anodes For Advanced Aqueous Zinc Batteries, Junnan Hao, Xiaolong Li, Shilin Zhang, Fuhua Yang, Xiaohui Zeng, Shuai Zhang, Guyue Bo, Chunsheng Wang, Zaiping Guo
Designing Dendrite-Free Zinc Anodes For Advanced Aqueous Zinc Batteries, Junnan Hao, Xiaolong Li, Shilin Zhang, Fuhua Yang, Xiaohui Zeng, Shuai Zhang, Guyue Bo, Chunsheng Wang, Zaiping Guo
Faculty of Engineering and Information Sciences - Papers: Part B
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Zn metal has been regarded as the most promising anode for aqueous batteries due to its high capacity, low cost, and environmental benignity. Zn anode still suffers, however, from low Coulombic efficiency due to the side reactions and dendrite growth in slightly acidic electrolytes. Here, the Zn plating/stripping mechanism is thoroughly investigated in 1 m ZnSO4 electrolyte, demonstrating that the poor performance of Zn metal in mild electrolyte should be ascribed to the formation of a porous by-product (Zn4SO4(OH)6·xH2O) layer and serious dendrite growth. To suppress the side reactions and dendrite …
A Hybrid Network For Large-Scale Action Recognition From Rgb And Depth Modalities, Huogen Wang, Zhanjie Song, Wanqing Li, Pichao Wang
A Hybrid Network For Large-Scale Action Recognition From Rgb And Depth Modalities, Huogen Wang, Zhanjie Song, Wanqing Li, Pichao Wang
Faculty of Engineering and Information Sciences - Papers: Part B
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The paper presents a novel hybrid network for large-scale action recognition from multiple modalities. The network is built upon the proposed weighted dynamic images. It effectively leverages the strengths of the emerging Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) based approaches to specifically address the challenges that occur in large-scale action recognition and are not fully dealt with by the state-of-the-art methods. Specifically, the proposed hybrid network consists of a CNN based component and an RNN based component. Features extracted by the two components are fused through canonical correlation …
Resource-Based Adaptive Robotic Process Automation: Formal/Technical Paper, Renuka Sindhgatta, Arthur Ter Hofstede, Aditya K. Ghose
Resource-Based Adaptive Robotic Process Automation: Formal/Technical Paper, Renuka Sindhgatta, Arthur Ter Hofstede, Aditya K. Ghose
Faculty of Engineering and Information Sciences - Papers: Part B
© Springer Nature Switzerland AG 2020. Robotic process automation is evolving from robots mimicking human workers in automating information acquisition tasks, to robots performing human decision tasks using machine learning algorithms. In either of these situations, robots or automation agents can have distinct characteristics in their performance, much like human agents. Hence, the execution of an automated task may require adaptations with human participants executing the task when robots fail, to taking a supervisory role or having no involvement. In this paper, we consider different levels of automation, and the corresponding coordination required by resources that include human participants and …
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
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 …
Necessary And Sufficient Conditions For Expressing Quadratic Rational Bézier Curves, Chaoyu Yang, Jie Yang, Ying Liu, Xianya Geng
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.
Failure Envelopes Of Square And Circularized Rc Columns Discretely Confined With Cfrp, Anh Duc Mai, M Neaz Sheikh, Muhammad N. S Hadi
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.
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
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.
Html: Hierarchical Transformer-Based Multi-Task Learning For Volatility Prediction, Linyi Yang, Tin L. Ng, Barry Smyth, Riuhai Dong
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 …
Evaluation Of Roadway Spatial-Temporal Travel Speed Estimation Using Mapped Low-Frequency Avl Probe Data, Liqun Peng, Zhixiong Li, Chenhao Wang, Thompson Sarkodie-Gyan
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 …
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
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 …
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
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 …
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
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 …
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
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 …
An Aperiodic Monotile That Forces Nonperiodicity Through Dendrites, Michael Mampusti, Michael F. Whittaker
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 …
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
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 …
Robustness In Coupling Between Iron And Rare Earth Spins In Rare Earth Orthoferrites, Mohanad Hazim, Josip Horvat, Zhenxiang Cheng, Shixun Cao
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.
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
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 …
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
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 …
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
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 …
Teaching Sample Survey Design—A Project Using A Virtual Population, Carole L. Birrell
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 …
The Design Of Early-Stage Plant Breeding Trials Using Genetic Relatedness, Brian R. Cullis, Alison B. Smith, Nicole A. Cocks, David G. Butler
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 …
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
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 …
Power Loss And Thermal Impedance Modeling Of Multilevel Power Converter With Discontinuous Modulation, Md Mazharul Islam, Md. Ashib Rahman, Md Rabiul Islam
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 …
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
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 …
A New Data Driven Long-Term Solar Yield Analysis Model Of Photovoltaic Power Plants, Biplob Ray, Rakibuzzaman Shah, Md Rabiul Islam, Syed Islam
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 …
Biomechanics Of Table Tennis: A Systematic Scoping Review Of Playing Levels And Maneuvers, Duo Wong, Winson Lee, Wing-Kai Lam
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 …
Outage Probability And Throughput Analyses In Full-Duplex Relaying Systems With Energy Transfer, Jiaman Li, Le Chung Tran, Farzad Safaei
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. …
Progress In Piezoelectric Material Based Oceanic Wave Energy Conversion Technology, Mahbubur Kiran, Omar Farrok, Md Abdullah-Al-Mamun, Md Rabiul Islam, Wei Xu
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 …