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Articles 1 - 30 of 1522

Full-Text Articles in Engineering

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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


Strategic Positioning Of The Russian Far East Gold Mining Industry, Aleksei Sobolev, Peter Gibson, Gennadei Sekisov, Anton Andriushenko Jan 2020

Strategic Positioning Of The Russian Far East Gold Mining Industry, Aleksei Sobolev, Peter Gibson, Gennadei Sekisov, Anton Andriushenko

Faculty of Engineering and Information Sciences - Papers: Part B

© The Authors, published by EDP Sciences, 2020. The objectives of this paper is to investigate internal and external factors influencing the gold mining in Russian Far East. Justification of the methodological and practical recommendations as well as effective strategies which in full measure correspond to the range of economic and technical factors aimed to increase the effectiveness of gold mining industry in Russia are presented. In this paper, we analysed the current state and main development trends, identified strengths and weaknesses of the internal environment, as well as opportunities and threats of the external environment for the gold mining enterprises ...


Study On Deformation Characteristics And Microstructure Evolution Of 2205/Ah36 Bimetal Composite In A Novel Hot Forming Process, Zhou Li, Haibo Xie, Fanghui Jia, Yao Lu, Xiangqian Yuan, Sihai Jiao, Zhengyi Jiang Jan 2020

Study On Deformation Characteristics And Microstructure Evolution Of 2205/Ah36 Bimetal Composite In A Novel Hot Forming Process, Zhou Li, Haibo Xie, Fanghui Jia, Yao Lu, Xiangqian Yuan, Sihai Jiao, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors; licensee MDPI, Basel, Switzerland. A new hot forming process of a hot-rolled 2205 duplex stainless/AH36 low-carbon steel bimetal composite (2205/AH36 BC) was proposed in this study, using the Gleeble 3500 thermal-mechanical simulator and hot bending tools. The deformation characteristics of 2205/AH36 BC were studied by hot tensile tests at temperatures from 950 to 1250 °C and strain rates ranging from 0.01 to 1 s–1. The tensile temperature has a great influence on the peak flow stress of the bimetal composite. The main microstructure evolution mechanisms, including dynamic recovery (DRV) and dynamic ...


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 ...


Short Principal Ideal Problem In Multicubic Fields, Andrea Lesavourey, Thomas Plantard, Willy Susilo Jan 2020

Short Principal Ideal Problem In Multicubic Fields, Andrea Lesavourey, Thomas Plantard, Willy Susilo

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 A. Lesavourey et al., published by De Gruyter 2020. One family of candidates to build a post-quantum cryptosystem upon relies on euclidean lattices. In order to make such cryptosystems more efficient, one can consider special lattices with an additional algebraic structure such as ideal lattices. Ideal lattices can be seen as ideals in a number field. However recent progress in both quantum and classical computing showed that such cryptosystems can be cryptanalysed efficiently over some number fields. It is therefore important to study the security of such cryptosystems for other number fields in order to have a better understanding ...


Comparison Of Economic Model Predictive Control And Rule-Based Control For Residential Energy Storage Systems, Brendan Banfield, Duane A. Robinson, Ashish P. Agalgaonkar Jan 2020

Comparison Of Economic Model Predictive Control And Rule-Based Control For Residential Energy Storage Systems, Brendan Banfield, Duane A. Robinson, Ashish P. Agalgaonkar

Faculty of Engineering and Information Sciences - Papers: Part B

This study quantifies the benefits of implementing model predictive control on residential solar PV and energy storage systems considering a time-of-use demand tariff, feed-in tariff and varying PV system sizes and battery life-cycle costs. The control system analysed makes use of economic model predictive control (EMPC) whereby the objective function is directly tied to the economics of the system. Using residential load and PV data from an Australian distribution network service provider, the EMPC controller is compared to a rule-based controller, highlighting the benefits of EMPC in regards to annual economic performance and battery energy throughput. The EMPC algorithm is ...


Reliability Analysis Of Tbm Disc Cutters Under Different Conditions, Bolong Liu, Haiqing Yang, Shivakumar Karekal Jan 2020

Reliability Analysis Of Tbm Disc Cutters Under Different Conditions, Bolong Liu, Haiqing Yang, Shivakumar Karekal

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Tongji University The reliability of disc cutters has a significant influence on the safety and working efficiency of tunnel boring machines (TBMs). To investigate the reliability of disc cutters under different geological and operational conditions, we conducted a series of novel rolling cutting tests on intact and jointed sandstone blocks using different dip angles and interlayers. Different normal forces and rotational speeds of the cutterhead were also applied during the experiment. A novel reliability estimation method, based on a logistic regression model, was then proposed, and the influence of dip angle, strata, normal force, and rotational speed on the ...


Reduction Kinetics Of Oxidized New Zealand Ironsand Pellets In H2 At Temperatures Up To 1443 K, Ao Zhang, Brian J. Monaghan, Raymond Longbottom, Mohammad Nusheh, Chris Bumby Jan 2020

Reduction Kinetics Of Oxidized New Zealand Ironsand Pellets In H2 At Temperatures Up To 1443 K, Ao Zhang, Brian J. Monaghan, Raymond Longbottom, Mohammad Nusheh, Chris Bumby

Faculty of Engineering and Information Sciences - Papers: Part B

2020, The Minerals, Metals & Materials Society and ASM International. Direct reduction of iron ore pellets using hydrogen gas has the potential to significantly reduce CO2 emissions from the ironmaking process. In this work, green pellets of titanomagnetite ironsand from New Zealand were oxidatively sintered to form titanohematite. These sintered pellets were then reduced by H2 gas at temperatures ≥ 1043 K, and a maximum reduction degree of ~ 97 pct was achieved. Fully reduced pellets contained metallic Fe as the main product phase, but several different (Fe, Ti) oxides were also present as minor inclusions. The phase distribution of these oxides depended ...


Biomechanics Of Lower Limb In Badminton Lunge: A Systematic Scoping Review, Wing Lam, Duo Wong, Winson Lee Jan 2020

Biomechanics Of Lower Limb In Badminton Lunge: A Systematic Scoping Review, Wing Lam, Duo Wong, Winson Lee

Faculty of Engineering and Information Sciences - Papers: Part B

Background. Badminton is a popular sport activity in both recreational and elite levels. A lot of biomechanical studies have investigated badminton lunge, since good lunge performance may increase the chances to win the game. This review summarized the current trends, research methods, and parameters-of-interest concerning lower-extremity biomechanics in badminton lunges. Methodology. Databases including Web of Science, Cochrane Library, Scopus, and PubMed were searched from the oldest available date to September 2020. Two independent authors screened all the articles and 20 articles were eligible for further review. The reviewed articles compared the differences among playing levels, footwear designs, and lunge directions ...


Experimental And Numerical Investigation Of A Method For Strengthening Cold-Formed Steel Profiles In Bending, Ehsan Taheri, Ahmad Firouzianhaji, Peyman Mehrabi, Bahador Vosough Hosseini, Bijan Samali Jan 2020

Experimental And Numerical Investigation Of A Method For Strengthening Cold-Formed Steel Profiles In Bending, Ehsan Taheri, Ahmad Firouzianhaji, Peyman Mehrabi, Bahador Vosough Hosseini, Bijan Samali

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. Perforated cold-formed steel (CFS) beams subjected to different bending scenarios should be able to deal with different buckling modes. There is almost no simple way to address this significant concern. This paper investigates the bending capacity and flexural behavior of a noveldesigned system using bolt and nut reinforcing system through both experimental and numerical approaches. For the experiential program, a total of eighteen specimens of three types were manufactured: a non-reinforced section, and two sections reinforced along the upright length at 200 mm and 300 mm pitches. Then, monotonic loading was applied to both the minor ...


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 ...


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

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

Faculty of Engineering and Information Sciences - Papers: Part B

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


Ultrathin Few-Layer Gep Nanosheets Via Lithiation-Assisted Chemical Exfoliation And Their Application In Sodium Storage, Fuhua Yang, Jian Hong, Junnan Hao, Shilin Zhang, Gemeng Liang, Jun Long, Yuqing Liu, Nana Liu, Wei Kong Pang, Jun Chen, Zaiping Guo Jan 2020

Ultrathin Few-Layer Gep Nanosheets Via Lithiation-Assisted Chemical Exfoliation And Their Application In Sodium Storage, Fuhua Yang, Jian Hong, Junnan Hao, Shilin Zhang, Gemeng Liang, Jun Long, Yuqing Liu, Nana Liu, Wei Kong Pang, Jun Chen, Zaiping Guo

Faculty of Engineering and Information Sciences - Papers: Part B

2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Ultrathin few-layer materials have attracted intensive research attention because of their distinctive and unique properties. Few-layer GeP (FL-GP) is potentially interesting for application in electronics and optoelectronics because of its appropriate band gap and good stability under ambient conditions. Nevertheless, it is a challenge to achieve ultrathin few-layer or single layer GeP from exfoliation of bulk crystals. Here, a lithiation-assisted chemical exfoliation technique is employed to achieve FL-GP, in which the interlayer spacing can be efficiently enlarged after a preliminary lithium ion intercalation, allowing the bulk crystal to be readily exfoliated in a ...


Electrical Power Generation From The Oceanic Wave For Sustainable Advancement In Renewable Energy Technologies, Omar Farrok, Koushik Ahmed, Abdirazak Tahlil, Mohamud Farah, Mahbubur Kiran, Md Rabiul Islam Jan 2020

Electrical Power Generation From The Oceanic Wave For Sustainable Advancement In Renewable Energy Technologies, Omar Farrok, Koushik Ahmed, Abdirazak Tahlil, Mohamud Farah, Mahbubur Kiran, Md Rabiul Islam

Faculty of Engineering and Information Sciences - Papers: Part B

Recently, electrical power generation from oceanic waves is becoming very popular, as it is prospective, predictable, and highly available compared to other conventional renewable energy resources. In this paper, various types of nearshore, onshore, and offshore wave energy devices, including their construction and working principle, are explained explicitly. They include point absorber, overtopping devices, oscillating water column, attenuators, oscillating wave surge converters, submerged pressure differential, rotating mass, and bulge wave converter devices. The encounters and obstacles of electrical power generation from the oceanic wave are discussed in detail. The electrical power generation methods of the generators involved in wave energy ...


Tunable Strong Photo-Mixing In Weyl Semimetals, Jack Zuber, T Zhao, S Gong, M Hu, R Zhong, C Zhang, S Liu Jan 2020

Tunable Strong Photo-Mixing In Weyl Semimetals, Jack Zuber, T Zhao, S Gong, M Hu, R Zhong, C Zhang, S Liu

Faculty of Engineering and Information Sciences - Papers: Part B

We study both the temperature and band-gap dependence of the first-and third-order intraband conductivities of a Weyl semimetal (WSM) as well as the resultant critical field. By a semiclassical model we further explore how different chemical potentials, cone separations, field geometries, and finite relaxation times affect photoresponse. We determine that the band-gap variation is characterized by the Weyl cone separation and observe significant thermal enhancement of the nonlinear response. Universal behaviors of both the linear and nonlinear response have also been observed under certain conditions. Coupled with experimentally accessible critical field values of 104-105 V m-1, our results give strong ...


Hydrothermal Synthesis Of Rutile Tio2 Nanorods And Their Decoration With Ceo2 Nanoparticles As Low-Photocatalytic Active Ingredients In Uv Filtering Applications, Alexander Morlando, Jared Mcnamara, Yaser Rehman, Vitor Sencadas, Philip J. Barker, Konstantin K. Konstantinov Jan 2020

Hydrothermal Synthesis Of Rutile Tio2 Nanorods And Their Decoration With Ceo2 Nanoparticles As Low-Photocatalytic Active Ingredients In Uv Filtering Applications, Alexander Morlando, Jared Mcnamara, Yaser Rehman, Vitor Sencadas, Philip J. Barker, Konstantin K. Konstantinov

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020, Springer Science+Business Media, LLC, part of Springer Nature. The use of TiO2 nanoparticles in sunscreen products has raised concern over their oxidative potential and adverse health effects brought about by their propensity to produce free radicals when exposed to UV radiation. In this study, an investigation into industry-scalable methods for synthesizing rutile TiO2 nanorods with controllable morphological characteristics was carried out. The effects of hydrothermal reaction temperature and nitric acid concentration on the crystal phase, composition and morphology were explored to assess the most suitable conditions for reproduction. Optimal reaction conditions for obtaining purely rutile TiO2 nanorods occurred ...


Effect Of The Second-Phase Particle Precipitation On The Recrystallization Texture Of High-Strength And Fine-Grain Interstitial-Free Steel, H Zhang, R Chen, C Wang, Y Li, H Jia, Zhengyi Jiang Jan 2020

Effect Of The Second-Phase Particle Precipitation On The Recrystallization Texture Of High-Strength And Fine-Grain Interstitial-Free Steel, H Zhang, R Chen, C Wang, Y Li, H Jia, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020, Springer Science+Business Media, LLC, part of Springer Nature. The effect of the second-phase particle precipitation on the recrystallization texture of high-strength and fine-grain interstitial-free steel was studied. It is shown experimentally that the sizes of second-phase particles increase and their number decreases with holding time and annealing temperature. The texture is mainly influenced by the size, number, and distribution of the particles. Finely dispersed second-phase particles are strongly pinned on the grain boundaries, which significantly hinders the development of {111} surface textures. It the pinning force on the grain boundary decreases, the {111) surface texture improves due to ...


A Novel Monte Carlo-Based Neural Network Model For Electricity Load Forecasting, Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou Jan 2020

A Novel Monte Carlo-Based Neural Network Model For Electricity Load Forecasting, Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part B

The ongoing rapid growth of electricity over the past few decades greatly promotes the necessity of accurate electricity load forecasting. However, despite a great number of studies, electricity load forecasting is still an enormous challenge for its complexity. Recently, the developments of machine learning technologies in different research areas have demonstrated its great advantages. General Vector Machine (GVM) is a new machine learning model, which has been proven very effective in time series prediction. In this article, we firstly review the basic concepts and implementation of GVM. Then we apply it in electricity load forecasting, which is based on the ...