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Articles 211 - 240 of 14367

Full-Text Articles in Social and Behavioral Sciences

Novel Water-Based Nanolubricant With Superior Tribological Performance In Hot Steel Rolling, Hui Wu, Fanghui Jia, Zhou Li, Fei Lin, Mingshuai Huo, Shuiquan Huang, Sepidar Sayyar, Sihai Jiao, Han Huang, Zhengyi Jiang Jan 2020

Novel Water-Based Nanolubricant With Superior Tribological Performance In Hot Steel Rolling, Hui Wu, Fanghui Jia, Zhou Li, Fei Lin, Mingshuai Huo, Shuiquan Huang, Sepidar Sayyar, Sihai Jiao, Han Huang, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

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Understanding The Role Of Water-Based Nanolubricants In Micro Flexible Rolling Of Aluminium, Mingshuai Huo, Hui Wu, Haibo Xie, Jingwei Zhao, Guanqiao Su, Fanghui Jia, Zhou Li, Fei Lin, Shengli Li, Hongmei Zhang, Zhengyi Jiang Jan 2020

Understanding The Role Of Water-Based Nanolubricants In Micro Flexible Rolling Of Aluminium, Mingshuai Huo, Hui Wu, Haibo Xie, Jingwei Zhao, Guanqiao Su, Fanghui Jia, Zhou Li, Fei Lin, Shengli Li, Hongmei Zhang, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Ltd To comprehend the role of water-based nanolubricant in micro flexible rolling, corresponding characterisation with respect to different concentrations of nanolubricants, surface roughness variation subjected to each micro flexible rolling phase and dispersion of nanoparticles (NPs) were studied systematically. The results reveal that increasing NPs get trapped into the surfaces from the thicker zone to the thinner zone. Downward transition zone with favourable deformation features leads to the smoother surface roughness. Nanolubricants can effectively decrease rolling traces due to the beneficial nanolubrication mechanisms. Notably, the maximum reduction for rolling force is around 18% for the case under …

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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.

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A Robust Vmat Delivery Solution For Single-Fraction Lung Sabr Utilizing Fff Beams Minimizing Dosimetric Compromise, Alex Burton, Keith Offer, Nicholas G. Hardcastle Jan 2020

A Robust Vmat Delivery Solution For Single-Fraction Lung Sabr Utilizing Fff Beams Minimizing Dosimetric Compromise, Alex Burton, Keith Offer, Nicholas G. Hardcastle

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. Peripheral lung lesions treated with a single fraction of stereotactic ablative body radiotherapy (SABR) utilizing volumetric modulated arc therapy (VMAT) delivery and flattening filter-free (FFF) beams represent a potentially high-risk scenario for clinically significant dose blurring effects due to interplay between the respiratory motion of the lesion and dynamic multi-leaf collimators (MLCs). The aim of this study was to determine an efficient means of developing low-modulation VMAT plans in the Eclipse treatment planning system (v15.5, Varian …

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Characterization Of A Plastic Dosimeter Based On Organic Semiconductor Photodiodes And Scintillator, Jessie Posar, Jeremy A. Davis, Owen Brace, Paul J. Sellin, Matthew Griffith, Olivier Dhez, Dean Wilkinson, Michael L. F Lerch, Anatoly B. Rosenfeld, Marco Petasecca Jan 2020

Characterization Of A Plastic Dosimeter Based On Organic Semiconductor Photodiodes And Scintillator, Jessie Posar, Jeremy A. Davis, Owen Brace, Paul J. Sellin, Matthew Griffith, Olivier Dhez, Dean Wilkinson, Michael L. F Lerch, Anatoly B. Rosenfeld, Marco Petasecca

Faculty of Engineering and Information Sciences - Papers: Part B

Background and purpose: Measurement of dose delivery is essential to guarantee the safety of patients undergoing medical radiation imaging or treatment procedures. This study aimed to evaluate the ability of organic semiconductors, coupled with a plastic scintillator, to measure photon dose in clinically relevant conditions, and establish its radiation hardness. Thereby, proving organic devices are capable of being a water-equivalent, mechanically flexible, real-time dosimeter. Materials and methods: The shelf-life of an organic photodiode was analyzed to 40 kGy by comparison of the charge-collection-efficiency of a 520 nm light emitting diode. A non-irradiated and pre-irradiated photodiode was coupled to a plastic …

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Mr-Guided Proton Therapy: A Review And A Preview, Aswin Hoffmann, Bradley M. Oborn, Maryam Moteabbed, Susu Yan, Thomas Bortfeld, Antje Knopf, Herman Fuchs, Dietmar Georg, Joao Seco, Maria Spadea, Oliver Jäkel, Christopher Kurz, Katia Parodi Jan 2020

Mr-Guided Proton Therapy: A Review And A Preview, Aswin Hoffmann, Bradley M. Oborn, Maryam Moteabbed, Susu Yan, Thomas Bortfeld, Antje Knopf, Herman Fuchs, Dietmar Georg, Joao Seco, Maria Spadea, Oliver Jäkel, Christopher Kurz, Katia Parodi

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Author(s). Background: The targeting accuracy of proton therapy (PT) for moving soft-tissue tumours is expected to greatly improve by real-time magnetic resonance imaging (MRI) guidance. The integration of MRI and PT at the treatment isocenter would offer the opportunity of combining the unparalleled soft-tissue contrast and real-time imaging capabilities of MRI with the most conformal dose distribution and best dose steering capability provided by modern PT. However, hybrid systems for MR-integrated PT (MRiPT) have not been realized so far due to a number of hitherto open technological challenges. In recent years, various research groups have started addressing …

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Towards Attention Based Convlstm For Long-Term Travel Time Prediction Of Bus Journey, Jianqing Wu, Qiang Wu, Jun Shen, Chen Cai Jan 2020

Towards Attention Based Convlstm For Long-Term Travel Time Prediction Of Bus Journey, Jianqing Wu, Qiang Wu, Jun Shen, Chen Cai

Faculty of Engineering and Information Sciences - Papers: Part B

Travel time prediction is critical for advanced travelerinformation systems (ATISs), which provides valuable information for enhancing the efficiency and effectiveness of the urban transportation systems. However, in the area of bus trips, existing studies have focused on directly using the structured data to predict travel time for a single bus trip. For state‐of‐the‐art public transportation information systems, a bus journey generally has multiple bus trips. Additionally, due to the lack of study on data fusion, it is even inadequate for the development of underlying intelligent transportation systems. In this paper, we propose a novel framework for a hybrid data‐ driven …

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Evolutionary Learner Profile Optimization Using Rare And Negative Association Rules For Micro Open Learning, Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Huaming Chen Jan 2020

Evolutionary Learner Profile Optimization Using Rare And Negative Association Rules For Micro Open Learning, Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Huaming Chen

Faculty of Engineering and Information Sciences - Papers: Part B

The actual data availability, readiness and publicity has slowed down the research of making use of computational intelligence to improve the knowledge delivery in an emerging learning mode, namely adaptive micro open learning, which naturally has high demand in quality and quantity of data to be fed. In this study, we contribute a novel approach to tackle the current scarcity of both data and rules in micro open learning, by adopting evolutionary algorithm to produce association rules with both rare and negative associations taken into account. These rules further drive the generation and optimization of learner profiles through refinement and …

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Effectiveness Of Internet-Based Electronic Technology Interventions On Breastfeeding Outcomes: Systematic Review, Alaa Almohanna, Khin Than Win, Shahla Meedya Jan 2020

Effectiveness Of Internet-Based Electronic Technology Interventions On Breastfeeding Outcomes: Systematic Review, Alaa Almohanna, Khin Than Win, Shahla Meedya

Faculty of Engineering and Information Sciences - Papers: Part B

©Alaa Ali Almohanna, Khin Than Win, Shahla Meedya. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.05.2020. BACKGROUND: Supporting women to initiate and continue breastfeeding is a global challenge. A range of breastfeeding interventions employing electronic technologies (e-technologies) are being developed, which offer different delivery modes and features over the internet; however, the impact of internet-based e-technologies on breastfeeding outcomes remains unclear. OBJECTIVE: This study aimed to identify the characteristics of current internet-based breastfeeding interventions employing e-technologies and investigate the effects of internet-based e-technologies on breastfeeding outcomes. METHODS: A systematic search was conducted in accordance with the Preferred …

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Do Food And Stress Biomarkers Work For Wastewater-Based Epidemiology? A Critical Evaluation, P Choi, D Bowes, J O'Brien, J Li, R Halden, Guangming Jiang, K Thomas, J Mueller Jan 2020

Do Food And Stress Biomarkers Work For Wastewater-Based Epidemiology? A Critical Evaluation, P Choi, D Bowes, J O'Brien, J Li, R Halden, Guangming Jiang, K Thomas, J Mueller

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Dietary characteristics and oxidative stress are closely linked to the wellbeing of individuals. In recent years, various urinary biomarkers of food and oxidative stress have been proposed for use in wastewater-based epidemiology (WBE), in efforts to objectively monitor the food consumed and the oxidative stress experienced by individuals in a wastewater catchment. However, it is not clear whether such biomarkers are suitable for wastewater-based epidemiology. This study presents a suite of 30 urinary food and oxidative stress biomarkers and evaluates their applicability for WBE studies. This includes 22 biomarkers which were not previously considered for WBE studies. Daily …

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Thermal Features Vis A Vis Strain Features Of Fracturing Process In Jointed Rock Layer Under Concentrated Load, Haiqing Yang, Bolong Liu, Shivakumar Karekal Jan 2020

Thermal Features Vis A Vis Strain Features Of Fracturing Process In Jointed Rock Layer Under Concentrated Load, Haiqing Yang, Bolong Liu, Shivakumar Karekal

Faculty of Engineering and Information Sciences - Papers: Part B

In case of earthquakes and crustal movement, the concentration of impounding load over a large region of crust can cause disturbances to the stratum. In order to quantitatively investigate crack initiation, propagation and coalescence processes of jointed stratum based on thermal variations caused by concentrated mechanical loading, a series of indention tests were performed on granite specimens. In the experiment, fracture process and resulting infrared radiation fields of specimens were respectively recorded by synchronized digital image correlation system and infrared camera. Then, thermal characteristics of mixed shear-tensile and tensile conical crack were analyzed. Experimental results indicate that the highlighted temperature …

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A Practical 3d-Printed Soft Robotic Prosthetic Hand With Multi-Articulating Capabilities, Alireza Mohammadi, Jim Lavranos, Hao Zhou, Rahim Mutlu, Gursel Alici, Ying Tan, Peter Choong, Denny Oetomo Jan 2020

A Practical 3d-Printed Soft Robotic Prosthetic Hand With Multi-Articulating Capabilities, Alireza Mohammadi, Jim Lavranos, Hao Zhou, Rahim Mutlu, Gursel Alici, Ying Tan, Peter Choong, Denny Oetomo

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Mohammadi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Soft robotic hands with monolithic structure have shown great potential to be used as prostheses due to their advantages to yield light weight and compact designs as well as its ease of manufacture. However, existing soft prosthetic hands design were often not geared towards addressing some of the practical requirements highlighted in prosthetics research. The gap between the existing designs and …

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Tactile Feedback In Closed-Loop Control Of Myoelectric Hand Grasping: Conveying Information Of Multiple Sensors Simultaneously Via A Single Feedback Channel, Raphael Mayer, Ricardo Garcia-Rosas, Alireza Mohammadi, Ying Tan, Gursel Alici, Peter Choong, Denny Oetomo Jan 2020

Tactile Feedback In Closed-Loop Control Of Myoelectric Hand Grasping: Conveying Information Of Multiple Sensors Simultaneously Via A Single Feedback Channel, Raphael Mayer, Ricardo Garcia-Rosas, Alireza Mohammadi, Ying Tan, Gursel Alici, Peter Choong, Denny Oetomo

Faculty of Engineering and Information Sciences - Papers: Part B

© Copyright © 2020 Mayer, Garcia-Rosas, Mohammadi, Tan, Alici, Choong and Oetomo. The appropriate sensory information feedback is important for the success of an object grasping and manipulation task. In many scenarios, the need arises for multiple feedback information to be conveyed to a prosthetic hand user simultaneously. The multiple sets of information may either (1) directly contribute to the performance of the grasping or object manipulation task, such as the feedback of the grasping force, or (2) simply form additional independent set(s) of information. In this paper, the efficacy of simultaneously conveying two independent sets of sensor information (the …

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Pool Boiling Heat Transfer To Cuo-H2o Nanofluid On Finned Surfaces, Zhixiong Li, M Sarafraz, Arash Mazinani, Tasawar Hayat, Hamed Alsulami, Marjan Goodarzi Jan 2020

Pool Boiling Heat Transfer To Cuo-H2o Nanofluid On Finned Surfaces, Zhixiong Li, M Sarafraz, Arash Mazinani, Tasawar Hayat, Hamed Alsulami, Marjan Goodarzi

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Ltd In the present research, the general aim is to understand further the potential effect of the surface shape and geometrical specification of rectangular parallel fins developed on the surface on the heat transfer coefficient, bubble formation, and fouling of the nanoparticles. To achieve this, the boiling thermal performance of the copper oxide nano-suspension (NS) was quantified on the modified surfaces with different geometrical specifications, including the width and height of the fins and space between fins. Results showed that the designed fins reduce the rate of the fouling of the nanoparticles on the boiling surface such …

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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 Jan 2020

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 …

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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 Jan 2020

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, …

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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 Jan 2020

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 …

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A Hybrid Network For Large-Scale Action Recognition From Rgb And Depth Modalities, Huogen Wang, Zhanjie Song, Wanqing Li, Pichao Wang Jan 2020

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 …

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Resource-Based Adaptive Robotic Process Automation: Formal/Technical Paper, Renuka Sindhgatta, Arthur Ter Hofstede, Aditya K. Ghose Jan 2020

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 …

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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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