Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 30 of 1636

Full-Text Articles in Engineering

Utilizing Qr Codes To Verify The Visual Fidelity Of Image Datasets For Machine Learning, Yang-Wai Chow, Willy Susilo, Jianfang Wang, Richard Buckland, Joon Sang Baek, Jongkil Kim, Nan Li Jan 2021

Utilizing Qr Codes To Verify The Visual Fidelity Of Image Datasets For Machine Learning, Yang-Wai Chow, Willy Susilo, Jianfang Wang, Richard Buckland, Joon Sang Baek, Jongkil Kim, Nan Li

Faculty of Engineering and Information Sciences - Papers: Part B

Machine learning is becoming increasingly popular in modern technology and has been adopted in various application areas. However, researchers have demonstrated that machine learning models are vulnerable to adversarial examples in their inputs, which has given rise to a field of research known as adversarial machine learning. Potential adversarial attacks include methods of poisoning datasets by perturbing input samples to mislead machine learning models into producing undesirable results. While such perturbations are often subtle and imperceptible from the perspective of a human, they can greatly affect the performance of machine learning models. This paper presents two methods of verifying the ...


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 ...


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 ...


Genetic Variation For Fusarium Crown Rot Tolerance In Durum Wheat, Gururaj Pralhad Kadkol, Jess Meza, Steven Simpfendorfer, Steve Harden, Brian R. Cullis Professor Jan 2021

Genetic Variation For Fusarium Crown Rot Tolerance In Durum Wheat, Gururaj Pralhad Kadkol, Jess Meza, Steven Simpfendorfer, Steve Harden, Brian R. Cullis Professor

Faculty of Engineering and Information Sciences - Papers: Part B

Tolerance to the cereal disease Fusarium crown rot (FCR) was investigated in a set of 34 durum wheat genotypes, with Suntop, (bread wheat) and EGA Bellaroi (durum) as tolerant and intolerant controls, in a series of replicated field trials over four years with inoculated (FCR-i) and non-inoculated (FCR-n) plots of the genotypes. The genotypes included con- ventional durum lines and lines derived from crossing durum with 2–49, a bread wheat geno- type with the highest level of partial resistance to FCR. A split plot trial design was chosen to optimize the efficiency for the prediction of FCR tolerance for ...


Electrospun Nanofibers For Efficient Adsorption Of Heavy Metals From Water And Wastewater, Maryam Salehi, Donya Sharafoddinzadeh, Fatemeh Mokhtari, Mitra Salehi Esfandarani, Shafieh Karami Jan 2021

Electrospun Nanofibers For Efficient Adsorption Of Heavy Metals From Water And Wastewater, Maryam Salehi, Donya Sharafoddinzadeh, Fatemeh Mokhtari, Mitra Salehi Esfandarani, Shafieh Karami

Faculty of Engineering and Information Sciences - Papers: Part B

Heavy metals (HMs) are persistent and toxic environmental pollutants that pose critical risks toward human health and environmental safety. Their efficient elimination from water and wastewater is essential to protect public health, ensure environmental safety, and enhance sustainability. In the recent decade, nanomaterials have been developed extensively for rapid and effective removal of HMs from water and wastewater and to address the certain economical and operational challenges associated with conventional treatment practices, including chemical precipitation, ion exchange, adsorption, and membrane separation. However, the complicated and expensive manufacturing process of nanoparticles and nanotubes, their reduced adsorption capacity due to the aggregation ...


Infinitesimal Knowledges, Rodney Nillsen Jan 2021

Infinitesimal Knowledges, Rodney Nillsen

Faculty of Engineering and Information Sciences - Papers: Part B

The notion of indivisibles and atoms arose in ancient Greece. The continuum—that is, the collection of points in a straight line segment, appeared to have paradoxical properties, arising from the ‘indivisibles’ that remain after a process of division has been carried out throughout the continuum. In the seventeenth century, Italian mathematicians were using new methods involving the notion of indivisibles, and the paradoxes of the continuum appeared in a new context. This cast doubt on the validity of the methods and the reliability of mathematical knowledge which had been regarded as established by the axiomatic method in geometry expounded ...


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 ...


A Blockchain Based System For Safe Vaccine Supply And Supervision, Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou Jan 2020

A Blockchain Based System For Safe Vaccine Supply And Supervision, Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part B

Immunization is an indispensable mechanism for preventing infectious diseases in modern society, and vaccine safety is closely related to public health and national security. However, issues such as vaccine expiration and vaccine record fraud are still widespread in vaccine supply chains. Therefore, an effective management system for the supervision of vaccine supply chains is urgently required. As the next generation of core technology after the Internet, blockchain is designed to build trust mechanisms that can change current information management methods. Meanwhile, the development of machine learning technologies provides additional ways to analyze the data in information management systems. The main ...


Validation Of Geant4 For Silicon Microdosimetry In Heavy Ion Therapy, David Bolst, Susanna Guatelli, Linh T. Tran, Lachlan Chartier, Jeremy A. Davis, Giordano Biasi, Dale A. Prokopovich, Alex Pogossov, Mark I. Reinhard, Marco Petasecca, Michael L. F Lerch, N Matsufuji, M Povoli, A Summanwar, Angela Kok, Michael A. Jackson, Anatoly B. Rosenfeld Jan 2020

Validation Of Geant4 For Silicon Microdosimetry In Heavy Ion Therapy, David Bolst, Susanna Guatelli, Linh T. Tran, Lachlan Chartier, Jeremy A. Davis, Giordano Biasi, Dale A. Prokopovich, Alex Pogossov, Mark I. Reinhard, Marco Petasecca, Michael L. F Lerch, N Matsufuji, M Povoli, A Summanwar, Angela Kok, Michael A. Jackson, Anatoly B. Rosenfeld

Faculty of Engineering and Information Sciences - Papers: Part B

Microdosimetry is a particularly powerful method to estimate the relative biological effectiveness (RBE) of any mixed radiation field. This is particularly convenient for therapeutic heavy ion therapy (HIT) beams, referring to ions larger than protons, where the RBE of the beam can vary significantly along the Bragg curve. Additionally, due to the sharp dose gradients at the end of the Bragg peak (BP), or spread out BP, to make accurate measurements and estimations of the biological properties of a beam a high spatial resolution is required, less than a millimetre. This requirement makes silicon microdosimetry particularly attractive due to the ...


Extraction Of Strategically Important Elements From Brines: Constraints And Opportunities, Biplob K. Pramanik, Long D. Nghiem, Faisal I. Hai Jan 2020

Extraction Of Strategically Important Elements From Brines: Constraints And Opportunities, Biplob K. Pramanik, Long D. Nghiem, Faisal I. Hai

Faculty of Engineering and Information Sciences - Papers: Part B

Strategically important elements are those that are vital to advanced manufacturing, low carbon technologies and other growing industries. Ongoing depletion and supply risks to these elements are a critical concern, and thus, recovery of these elements from low-grade ores and brines has generated significant interest worldwide. Among the strategically important elements, this paper focuses on rare earth elements (REEs), the platinum-group metals and lithium due to their wide application in the advanced industrial economics. We critically review the current methods such as precipitation, ion exchange and solvent extraction for extracting these elements from low-grade ores and brines and provide insight ...


Improved Integrated Nucleus-Nucleus Inelastic Cross Sections For Light Nuclides In Geant4, Dosatsu Sakata, Susanna Guatelli, E Simpson Jan 2020

Improved Integrated Nucleus-Nucleus Inelastic Cross Sections For Light Nuclides In Geant4, Dosatsu Sakata, Susanna Guatelli, E Simpson

Faculty of Engineering and Information Sciences - Papers: Part B

We propose a new root-mean-square radius parameterization for light nuclei A≤30 suitable for use in Geant4 calculations of nucleus-nucleus total hadronic inelastic scattering cross sections. The new approach takes into account the proton-neutron asymmetry of the reactants, and was fit to 360 measured total inelastic cross sections from the EXFOR database. Measured nuclear radii are better described in the new approach than the current Geant4 implementation, particularly for unstable nuclides, and there is better agreement with measured cross sections for both stable and unstable nuclides. The improved parameterization should help in carbon-ion therapy applications in particular.


A Takagi-Sugeno Fuzzy Model-Based Control Strategy For Variable Stiffness And Variable Damping Suspension, Xin Tang, Donghong Ning, Haiping Du, Weihua Li, Yibo Gao, Weijia Wen Jan 2020

A Takagi-Sugeno Fuzzy Model-Based Control Strategy For Variable Stiffness And Variable Damping Suspension, Xin Tang, Donghong Ning, Haiping Du, Weihua Li, Yibo Gao, Weijia Wen

Faculty of Engineering and Information Sciences - Papers: Part B

© 2013 IEEE. As the concept of variable stiffness and variable damping (VSVD) has increasingly drawn attention, suspensions applied with magnetorheological (MR) dampers to achieve varying stiffness and damping have been an attractive method to improve vehicle performance and driver comfort further. As highly nonlinearity of MR damper dynamics and coupled interconnections in the case of multi-output control, to build a direct control system for VSVD suspension based on multiple MR dampers is difficult. Applying Takagi-Sugeno (T-S) fuzzy model on the VSVD system enables the linear control theory to be directly utilized to build the multi-output controller for multi-MR dampers. In ...


Mechanistic-Empirical Permanent Deformation Models: Laboratory Testing, Modelling And Ranking, Ana Ramos, Antonio Gomes, Buddhima Indraratna, Ngoc Trung Ngo, Rui Calcada, Pedro Costa Jan 2020

Mechanistic-Empirical Permanent Deformation Models: Laboratory Testing, Modelling And Ranking, Ana Ramos, Antonio Gomes, Buddhima Indraratna, Ngoc Trung Ngo, Rui Calcada, Pedro Costa

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Ltd Geomaterials exhibit elastoplastic behaviour during dynamic and repeated loading conditions. These loads are induced by the passage of a train or vehicle which then generates recoverable (resilient) deformation and/or permanent (plastic) deformation. Modelling this behaviour is still a challenge for geotechnical engineers as it implies the understanding of the complex deformation mechanism and application of advanced constitutive models. This paper reviews on the major causes of permanent deformation and the factors that influence the long-term performance of materials. It will also present the fundamental concepts of permanent deformation as well as the models and approaches used ...


Fault-Tolerant Analysis And Design Of Afpmsm With Multi-Disc Type Coreless Open-End Winding, Xiaoguang Wang, Meng Zhao, Lei Tang, Wei Xu, Md Rabiul Islam Jan 2020

Fault-Tolerant Analysis And Design Of Afpmsm With Multi-Disc Type Coreless Open-End Winding, Xiaoguang Wang, Meng Zhao, Lei Tang, Wei Xu, Md Rabiul Islam

Faculty of Engineering and Information Sciences - Papers: Part B

This article presents a multi-disc coreless axial flux permanent magnet synchronous machine (MDC-AFPMSM) with N pole and S pole type series magnetic circuit and open-end winding for high reliability applications, such as small power actuator system. Firstly, the topology and driving modes of MDC-AFPMSM are presented in details. In this article, a multi-objective optimization function is proposed to design the machine with full consideration of various influence factors. The drive performance indexes of four-phase, five-phase and six-phase machines are analyzed and discussed. Furthermore, main parameters of the five-phase MDC-AFPMSM with open-end winding are calculated. In order to reduce the torque ...


On Masking And Releasing Smart Meter Data At Micro-Level: The Multiplicative Noise Approach, John Brackenbury, P. Y. O'Shaughnessy, Yan-Xia Lin Jan 2020

On Masking And Releasing Smart Meter Data At Micro-Level: The Multiplicative Noise Approach, John Brackenbury, P. Y. O'Shaughnessy, Yan-Xia Lin

Faculty of Engineering and Information Sciences - Papers: Part B

Smart meter electricity data presents privacy risks when malicious agents gain insights of private information, including residents’ lifestyle and daily habits. When allowing access to record-level data, we apply the multiplicative noise method to mask individual smart meter data, which simultaneously aims to minimise disclosure of a dwelling’s consumption signal to any third party and to enable accurate estimation of the sum of a cluster of households. Three testing criteria are introduced to measure the performance of multiplicative noise masking approach relevant to the smart meter data. We propose a novel ‘Twin Uniform’ noise distribution and derive relevant theoretical ...


A Blind Ring Signature Based On The Short Integer Solution Problem, Quoc Huy Le, Dung Hoang Duong, Willy Susilo Jan 2020

A Blind Ring Signature Based On The Short Integer Solution Problem, Quoc Huy Le, Dung Hoang Duong, Willy Susilo

Faculty of Engineering and Information Sciences - Papers: Part B

2020, Springer Nature Switzerland AG. A blind ring signature scheme is a combination of a ring signature and a blind signature, which allows not only any member of a group of signers to sign on a message on behalf of the group without revealing its identity but also the user who possesses the message to blind it before sending to the group to be signed. Blind ring signature schemes are essential components in e-commercial, e-voting etc. In this paper, we propose the first blind ring signature scheme based on lattices. More precisely, our proposed scheme is proven to be secure ...


Interfacial Characteristics And Mechanical Properties Of Duplex Stainless Steel Bimetal Composite By Heat Treatment, Zhou Li, Jingwei Zhao, Fanghui Jia, Xiaojun Liang, Qingfeng Zhang, Xiangqian Yuan, Sihai Jiao, Zhengyi Jiang Jan 2020

Interfacial Characteristics And Mechanical Properties Of Duplex Stainless Steel Bimetal Composite By Heat Treatment, Zhou Li, Jingwei Zhao, Fanghui Jia, Xiaojun Liang, Qingfeng Zhang, Xiangqian Yuan, Sihai Jiao, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier B.V. The interfacial morphologies play a crucial role in mechanical properties of laminated/bimetal composite. This study investigates the effects of heat treatments on the interfacial characteristics, mechanical properties and fracture behaviour of a 2205 duplex stainless steel/AH36 carbon steel bimetal composite with varying interface situations fabricated by the hot-rolling and subsequent heat treatments. The bimetal composite was annealed from 850 °C to 1150 °C in steps of 100 °C with soaking 1 h. Heterogeneities of grain size and element concentration exist in the microstructural evolution of bonding zone adjacent to interface after annealing treatments, which ...


Conditions For The Existence, Identification And Calculus Rules Of The Threshold Of Prox-Boundedness, Chayne Planiden Jan 2020

Conditions For The Existence, Identification And Calculus Rules Of The Threshold Of Prox-Boundedness, Chayne Planiden

Faculty of Engineering and Information Sciences - Papers: Part B

2020, Springer-Verlag GmbH Germany, part of Springer Nature. This note advances knowledge of the threshold of prox-boundedness of a function; an important concern in the use of proximal point optimization algorithms and in determining the existence of the Moreau envelope of the function. In finite dimensions, we study general prox-bounded functions and then focus on some useful classes such as piecewise functions and Lipschitz continuous functions. The thresholds are explicitly determined when possible and bounds are established otherwise. Some calculus rules are constructed; we consider functions with known thresholds and find the thresholds of their sum and composition.


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 ...


Deep Sequence Labelling Model For Information Extraction In Micro Learning Service, Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun Jan 2020

Deep Sequence Labelling Model For Information Extraction In Micro Learning Service, Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun

Faculty of Engineering and Information Sciences - Papers: Part B

Micro learning aims to assist users in making good use of smaller chunks of spare time and provides an effective online learning service. However, to provide such personalized online services on the Web, a number of information overload challenges persist. Effectively and precisely mining and extracting valuable information from massive and redundant information is a significant preprocessing procedure for personalizing online services. In this study, we propose a deep sequence labelling model for locating, extracting, and classifying key information for micro learning services. The proposed model is general and combines the advantages of different types of classical neural network. Early ...


A Qualitative Study Of The Strategic Alignment Perspective Of Public-Sector Organisations In Saudi Arabia In The Digitalisation Age, Abdulaziz Alghazi, Tingru Cui, Jun Shen, Samuel Fosso Wamba, Mengxiang Li Jan 2020

A Qualitative Study Of The Strategic Alignment Perspective Of Public-Sector Organisations In Saudi Arabia In The Digitalisation Age, Abdulaziz Alghazi, Tingru Cui, Jun Shen, Samuel Fosso Wamba, Mengxiang Li

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.


Microstructure And Mechanical Properties Of Wire Arc Additively Manufactured Hastelloy C276 Alloy, Zhijun Qiu, Bintao Wu, Hanliang Zhu, Zhiyang Wang, Alan K. Hellier, Yan Ma, Hui Jun Li, Ondrej Muransky, David Wexler Jan 2020

Microstructure And Mechanical Properties Of Wire Arc Additively Manufactured Hastelloy C276 Alloy, Zhijun Qiu, Bintao Wu, Hanliang Zhu, Zhiyang Wang, Alan K. Hellier, Yan Ma, Hui Jun Li, Ondrej Muransky, David Wexler

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Authors In this study, a Hastelloy C276 thin-wall structure was fabricated by wire arc additive manufacturing (WAAM). The microstructure and mechanical properties of the as-deposited structure were evaluated in detail using specimens extracted from different orientations and locations along the deposition direction. The results show that the primary dendrite arm spacing, dislocation density, and second-phase precipitates change along the deposition direction of the material, and they are responsible for the occurrence of anisotropy and heterogeneity in the observed mechanical properties. However, the well-distributed hardness values generated in the as-deposited sample are considered to be due to the uniform ...


State Of Charge Estimation In Lithium-Ion Batteries: A Neural Network Optimization Approach, M Hossain Lipu, M Hannan, Aini Hussain, Afida Ayob, Mohamad Saad, Kashem M. Muttaqi Jan 2020

State Of Charge Estimation In Lithium-Ion Batteries: A Neural Network Optimization Approach, M Hossain Lipu, M Hannan, Aini Hussain, Afida Ayob, Mohamad Saad, Kashem M. Muttaqi

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020, MDPI AG. All rights reserved. The development of an accurate and robust state-of-charge (SOC) estimation is crucial for the battery lifetime, efficiency, charge control, and safe driving of electric vehicles (EV). This paper proposes an enhanced data-driven method based on a time-delay neural network (TDNN) algorithm for state of charge (SOC) estimation in lithium-ion batteries. Nevertheless, SOC accuracy is subject to the suitable value of the hyperparameters selection of the TDNN algorithm. Hence, the TDNN algorithm is optimized by the improved firefly algorithm (iFA) to determine the optimal number of input time delay (UTD) and hidden neurons (HNs). This ...


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 ...


An Edge Based Multi-Agent Auto Communication Method For Traffic Light Control, Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou Jan 2020

An Edge Based Multi-Agent Auto Communication Method For Traffic Light Control, Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part B

With smart city infrastructures growing, the Internet of Things (IoT) has been widely used in the intelligent transportation systems (ITS). The traditional adaptive traffic signal control method based on reinforcement learning (RL) has expanded from one intersection to multiple intersections. In this paper, we propose a multi-agent auto communication (MAAC) algorithm, which is an innovative adaptive global traffic light control method based on multi-agent reinforcement learning (MARL) and an auto communication protocol in edge computing architecture. The MAAC algorithm combines multi-agent auto communication protocol with MARL, allowing an agent to communicate the learned strategies with others for achieving global optimization ...


Fusing Multilevel Deep Features For Fabric Defect Detection Based Ntv-Rpca, Yan Dong, Junpu Wang, Chunlei Li, Zhoufeng Liu, Jiangtao Xi, Aihua Zhang Jan 2020

Fusing Multilevel Deep Features For Fabric Defect Detection Based Ntv-Rpca, Yan Dong, Junpu Wang, Chunlei Li, Zhoufeng Liu, Jiangtao Xi, Aihua Zhang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2013 IEEE. Fabric defect detection plays an important role in automated inspection and quality control in textile manufacturing. As the fabric images have complex and diverse textures and defects, traditional detection methods show a poor adaptability and low detection accuracy. Robust principal component analysis (RPCA) model that can be used to separate the image into object and background have proven applicable in fabric defect detection. However, how to represent texture feature of the fabric image more effectively is still problematic in this kind of method. In addition, the use of the traditional RPCA may result in low accuracy and more ...


A Novel Design Of Mechanical Switch For The High Overload Environment, Yu Wang, Chen Liu, Lei Wang, Lihua Zhu Jan 2020

A Novel Design Of Mechanical Switch For The High Overload Environment, Yu Wang, Chen Liu, Lei Wang, Lihua Zhu

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Tech Science Press. All rights reserved. The internal structure of the inertial measurement unit (IMU) in active state is easily damaged in the high overload environment. So that the IMU is usually required to be powered within the disappearance of the high overload. In this paper, a mechanical switch is designed to enable the IMU based on the analysis of the impact of high overload on the power-supply circuit. In which, parameters of mechanical switch are determined through theoretical calculation and data analysis. The innovation of the proposed structure lies in that the mechanical switch is triggered through the ...


Trapdoor Delegation And Hibe From Middle-Product Lwe In Standard Model, Quoc Huy Le, Dung Hoang Duong, Willy Susilo, Josef Pieprzyk Jan 2020

Trapdoor Delegation And Hibe From Middle-Product Lwe In Standard Model, Quoc Huy Le, Dung Hoang Duong, Willy Susilo, Josef Pieprzyk

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020, Springer Nature Switzerland AG. At CRYPTO 2017, Roşca, Sakzad, Stehlé and Steinfeld introduced the Middle–Product LWE (MPLWE) assumption which is as secure as Polynomial-LWE for a large class of polynomials, making the corresponding cryptographic schemes more flexible in choosing the underlying polynomial ring in design while still keeping the equivalent efficiency. Recently at TCC 2019, Lombardi, Vaikuntanathan and Vuong introduced a variant of MPLWE assumption and constructed the first IBE scheme based on MPLWE. Their core technique is to construct lattice trapdoors compatible with MPLWE in the same paradigm of Gentry, Peikert and Vaikuntanathan at STOC 2008. However ...


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 ...