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Articles 361 - 390 of 14367

Full-Text Articles in Social and Behavioral Sciences

Mineral Nitrogen Captured In Field-Aged Biochar Is Plant-Available, Ghulam Haider, Stephen D. Joseph, Diedrich Steffens, Christoph Muller, Sarasadat Taherymoosavi, David R. G Mitchell, Claudia Kammann Jan 2020

Mineral Nitrogen Captured In Field-Aged Biochar Is Plant-Available, Ghulam Haider, Stephen D. Joseph, Diedrich Steffens, Christoph Muller, Sarasadat Taherymoosavi, David R. G Mitchell, Claudia Kammann

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020, The Author(s). Biochar may serve as a tool to sustainably mitigate climate change via carbon sequestration and by improving soil fertility. Biochar has shown to retain nitrate in its pores, which increases with an organic coating of the inner surfaces and residence time in soil (“aging”). Here we investigated the plant accessibility of the captured nitrate in field-aged biochar, as a pre-requisite for developing carbon-based N fertilization techniques with environmental benefits. Based on previous results, we hypothesized that part of the biochar-captured nitrate would remain unavailable for plants. A two-factorial greenhouse experiment was designed, where the N was …

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Electron-Impact Excitation Of The (5s25p) P1/2 2 →(5s26s) S1/2 2 Transition In Indium: Theory And Experiment, K Hamilton, O Zatsarinny, K Bartschat, M Rabasovic, D Sevic, B Marinkovic, S Dujko, J Atic, D Fursa, I Bray, R P. Mceachran, F Blanco, Gustavo Garcia, P Stokes, R D. White, Michael J. Brunger Jan 2020

Electron-Impact Excitation Of The (5s25p) P1/2 2 →(5s26s) S1/2 2 Transition In Indium: Theory And Experiment, K Hamilton, O Zatsarinny, K Bartschat, M Rabasovic, D Sevic, B Marinkovic, S Dujko, J Atic, D Fursa, I Bray, R P. Mceachran, F Blanco, Gustavo Garcia, P Stokes, R D. White, Michael J. Brunger

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 American Physical Society. We present angle-integrated and angle-differential cross sections for electron-impact excitation of the (5s25p)P1/22→(5s26s)S1/22 transition in atomic indium. Experimental data for six incident electron energies between 10 and 100 eV are compared with predictions from semirelativistic and fully relativistic B-spline R-matrix calculations, as well as a fully relativistic convergent close-coupling model. Agreement between our measured and calculated data is, with a few exceptions, found to be typically very good. Additionally, the agreement between the present theoretical predictions is generally excellent, with the remaining small deviations being associated with the slightly different, although still very accurate, descriptions …

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Cancer Risk Analysis Based On Improved Probabilistic Neural Network, Chaoyu Yang, Jie Yang, Ying Liu, Xianya Geng Jan 2020

Cancer Risk Analysis Based On Improved Probabilistic Neural Network, Chaoyu Yang, Jie Yang, Ying Liu, Xianya Geng

Faculty of Engineering and Information Sciences - Papers: Part B

© Copyright © 2020 Yang, Yang, Liu and Geng. The problem of cancer risk analysis is of great importance to health-service providers and medical researchers. In this study, we propose a novel Artificial Neural Network (ANN) algorithm based on the probabilistic framework, which aims to investigate patient patterns associated with their disease development. Compared to the traditional ANN where input features are directly extracted from raw data, the proposed probabilistic ANN manipulates original inputs according to their probability distribution. More precisely, the Naïve Bayes and Markov chain models are used to approximate the posterior distribution of the raw inputs, which …

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Ensemble Machine Learning Approaches For Webshell Detection In Internet Of Things Environments, Binbin Yong, Wei Wei, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Marcin Wozniak, Dawid Polap, Robertas Damasevicius Jan 2020

Ensemble Machine Learning Approaches For Webshell Detection In Internet Of Things Environments, Binbin Yong, Wei Wei, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Marcin Wozniak, Dawid Polap, Robertas Damasevicius

Faculty of Engineering and Information Sciences - Papers: Part B

The Internet of things (IoT), made up of a massive number of sensor devices interconnected, can be used for data exchange, intelligent identification, and management of interconnected “things.” IoT devices are proliferating and playing a crucial role in improving the living quality and living standard of the people. However, the real IoT is more vulnerable to attack by countless cyberattacks from the Internet, which may cause privacy data leakage, data tampering and also cause significant harm to society and individuals. Network security is essential in the IoT system, and Web injection is one of the most severe security problems, especially …

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Attention-Based Knowledge Tracing With Heterogeneous Information Network Embedding, Nan Zhang, Ye Du, Ke Deng, Li Li, Jun Shen, Geng Sun Jan 2020

Attention-Based Knowledge Tracing With Heterogeneous Information Network Embedding, Nan Zhang, Ye Du, Ke Deng, Li Li, Jun Shen, Geng Sun

Faculty of Engineering and Information Sciences - Papers: Part B

Knowledge tracing is a key area of research contributing to personalized education. In recent times, deep knowledge tracing has achieved great success. However, the sparsity of students’ practice data still limits the performance and application of knowledge tracing. An additional complication is that the contribution of the answer record to the current knowledge state is different at each time step. To solve these problems, we propose Attention-based Knowledge Tracing with Heterogeneous Information Network Embedding (AKTHE). First, we describe questions and their attributes with a heterogeneous information network and generate meaningful node embeddings. Second, we capture the relevance of historical data …

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Lattice Blind Signatures With Forward Security, Quoc Huy Le, Dung Hoang Duong, Willy Susilo, Ha Tran, Viet Cuong Trinh, Josef Pieprzyk, Thomas Plantard Jan 2020

Lattice Blind Signatures With Forward Security, Quoc Huy Le, Dung Hoang Duong, Willy Susilo, Ha Tran, Viet Cuong Trinh, Josef Pieprzyk, Thomas Plantard

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020, Springer Nature Switzerland AG. Blind signatures play an important role in both electronic cash and electronic voting systems. Blind signatures should be secure against various attacks (such as signature forgeries). The work puts a special attention to secret key exposure attacks, which totally break digital signatures. Signatures that resist secret key exposure attacks are called forward secure in the sense that disclosure of a current secret key does not compromise past secret keys. This means that forward-secure signatures must include a mechanism for secret-key evolution over time periods. This paper gives a construction of the first blind signature …

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A Novel Multifeature Based On-Site Calibration Method For Lidar-Imu System, Wanli Liu, Zhixiong Li, Reza Malekian, Miguel Sotelo, Zhenjun Ma, Weihua Li Jan 2020

A Novel Multifeature Based On-Site Calibration Method For Lidar-Imu System, Wanli Liu, Zhixiong Li, Reza Malekian, Miguel Sotelo, Zhenjun Ma, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part B

© 1982-2012 IEEE. Calibration is an essential prerequisite for the combined application of light detection and ranging (LiDAR) and inertial measurement unit (IMU). However, current LiDAR-IMU calibration usually relies on particular artificial targets or facilities and the intensive labor greatly limits the calibration flexibility. For these reasons, this article presents a novel multifeature based on-site calibration method for LiDAR-IMU system without any artificial targets or specific facilities. This new on-site calibration combines the point/sphere, line/cylinder, and plane features from LiDAR scanned data to reduce the labor intensity. The main contribution is that a new method is developed for LiDAR extrinsic …

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Finite Element Modeling In The Design Process Of 3d Printed Pneumatic Soft Actuators And Sensors, Charbel Tawk, Gursel Alici Jan 2020

Finite Element Modeling In The Design Process Of 3d Printed Pneumatic Soft Actuators And Sensors, Charbel Tawk, Gursel Alici

Faculty of Engineering and Information Sciences - Papers: Part B

The modeling of soft structures, actuators, and sensors is challenging, primarily due to the high nonlinearities involved in such soft robotic systems. Finite element modeling (FEM) is an effective technique to represent soft and deformable robotic systems containing geometric nonlinearities due to large mechanical deformations, material nonlinearities due to the inherent nonlinear behavior of the materials (i.e., stress-strain behavior) involved in such systems, and contact nonlinearities due to the surfaces that come into contact upon deformation. Prior to the fabrication of such soft robotic systems, FEM can be used to predict their behavior efficiently and accurately under various inputs and …

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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 …

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Design And Analysis Of The Igbt Heat Dissipation Structure Based On Computational Continuum Mechanics, Xin Lin, Huawei Wu, Zhen Liu, Baosheng Ying, Congjin Ye, Yuanjin Zhang, Zhixiong Li Jan 2020

Design And Analysis Of The Igbt Heat Dissipation Structure Based On Computational Continuum Mechanics, Xin Lin, Huawei Wu, Zhen Liu, Baosheng Ying, Congjin Ye, Yuanjin Zhang, Zhixiong Li

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. With the trend of high integration and high power of insulated gate bipolar transistor (IGBT) components, strict requirements have been placed on the heat dissipation capabilities of the IGBT devices. On the basis of traditional rectangular fins, this paper developed two new types of heat-dissipating fins to meet the high requirements of heat dissipation for the IGBT devices. One is the rectangular radiator with a groove length of 2.5 mm and a width of 0.85 mm, the other is the arc radiator with the angle of 125 arc angle, 0.8 mm arc height, and 1.4 …

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Gravity Compensation Design Of Delta Parallel Robots Using Gear-Spring Modules, Vu Nguyen, Chyi Lin, Chin-Hsing Kuo Jan 2020

Gravity Compensation Design Of Delta Parallel Robots Using Gear-Spring Modules, Vu Nguyen, Chyi Lin, Chin-Hsing Kuo

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Ltd This paper presents the gravity compensation for Delta parallel robots by adding a gear-slider mechanism with a compression spring, namely the “gear-spring module,” onto each robot leg. The major significance of the proposing design is that it suggests a compact mechanical solution for gravity compensation of the Delta robot without a compromise of the compensation performance and the robot workspace. The design parameters are determined to approximate the theoretical perfect balancing at a set of targeted configurations. Torque- and energy-reduction criteria are employed to evaluate the performance of gravity compensation. Design examples are implemented through a …

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Ub-Lstm: A Trajectory Prediction Method Combined With Vehicle Behavior Recognition, Haipeng Xiao, Chaoqun Wang, Zhixiong Li, Rendong Wang, Cao Bo, Miguel Sotelo, Youchun Xu Jan 2020

Ub-Lstm: A Trajectory Prediction Method Combined With Vehicle Behavior Recognition, Haipeng Xiao, Chaoqun Wang, Zhixiong Li, Rendong Wang, Cao Bo, Miguel Sotelo, Youchun Xu

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Haipeng Xiao et al. In order to make an accurate prediction of vehicle trajectory in a dynamic environment, a Unidirectional and Bidirectional LSTM (UB-LSTM) vehicle trajectory prediction model combined with behavior recognition is proposed, and then an acceleration trajectory optimization algorithm is proposed. Firstly, the interactive information with the surrounding vehicles is obtained by calculation, then the vehicle behavior recognition model is established by using LSTM, and the vehicle information is input into the behavior recognition model to identify vehicle behavior. Then, the trajectory prediction model is established based on Unidirectional and Bidirectional LSTM, and the identified vehicle …

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Confined Fe–Cu Clusters As Sub-Nanometer Reactors For Efficiently Regulating The Electrochemical Nitrogen Reduction Reaction, Xiaowei Wang, Siyao Qiu, Jianmin Feng, Yueyu Tong, Fengling Zhou, Qinye Li, Li Song, Shuangming Chen, Kuang Wu, Panpan Su, Sheng Ye, Feng Hou, Shi Xue Dou, Hua-Kun Liu, Gao Lu, Chenghua Sun, Jian Liu, Ji Liang Jan 2020

Confined Fe–Cu Clusters As Sub-Nanometer Reactors For Efficiently Regulating The Electrochemical Nitrogen Reduction Reaction, Xiaowei Wang, Siyao Qiu, Jianmin Feng, Yueyu Tong, Fengling Zhou, Qinye Li, Li Song, Shuangming Chen, Kuang Wu, Panpan Su, Sheng Ye, Feng Hou, Shi Xue Dou, Hua-Kun Liu, Gao Lu, Chenghua Sun, Jian Liu, Ji Liang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Authors. Published by Wiley-VCH GmbH Electrochemical nitrogen reduction reaction (NRR) over nonprecious-metal and single-atom catalysts has received increasing attention as a sustainable strategy to synthesize ammonia. However, the atomic-scale regulation of such active sites for NRR catalysis remains challenging because of the large distance between them, which significantly weakens their cooperation. Herein, the utilization of regular surface cavities with unique microenvironment on graphitic carbon nitride as “subnano reactors” to precisely confine multiple Fe and Cu atoms for NRR electrocatalysis is reported. The synergy of Fe and Cu atoms in such confined subnano space provides significantly enhanced NRR …

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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). …

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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 …

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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, …

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Design And Optimization Of A Water Jet-Based Biomimetic Antifouling Model For Marine Structures, Guijie Liu, Weixiong Jiang, Zichao Yuan, Yingchun Xie, Xiaojie Tian, Dingxin Leng, Atilla Incecik, Zhixiong Li Jan 2020

Design And Optimization Of A Water Jet-Based Biomimetic Antifouling Model For Marine Structures, Guijie Liu, Weixiong Jiang, Zichao Yuan, Yingchun Xie, Xiaojie Tian, Dingxin Leng, Atilla Incecik, Zhixiong Li

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Author(s). Marine structures, such as ship hulls and offshore platforms, are basic elements in marine engineering. Due to the harsh ocean environment, marine structures are prone to adhesion and corrosion by marine biofouling. The biomimetic antifouling technology has been recognized as the most promising solution to marine biofouling, while there is still a long way to go to take this technology outside of research laboratories. In order to develop practical biomimetic antifouling techniques, this work presents a new water jet-based biomimetic antifouling model for marine structures to prevent the enrichment of biofouling. First, a semi-empirical formula is proposed …

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Attention-Based High-Order Feature Interactions To Enhance The Recommender System For Web-Based Knowledge-Sharing Servic, Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, David Pritchard, Dongming Xu, Li Li, Wei Wei, Ghassan Beydoun, Shiping Chen Jan 2020

Attention-Based High-Order Feature Interactions To Enhance The Recommender System For Web-Based Knowledge-Sharing Servic, Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, David Pritchard, Dongming Xu, Li Li, Wei Wei, Ghassan Beydoun, Shiping Chen

Faculty of Engineering and Information Sciences - Papers: Part B

Providing personalized online learning services has become a hot research topic. Online knowledge-sharing services represents a popular approach to enable learners to use fragmented spare time. User asks and answers questions in the platform, and the platform also recommends relevant questions to users based on their learning interested and context. However, in the big data era, information overload is a challenge, as both online learners and learning resources are embedded in data rich environment. Offering such web services requires an intelligent recommender system to automatically filter out irrelevant information, mine underling user preference, and distil latent information. Such a recommender …

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Investigating Sequence Patterns Of Collaborative Problem-Solving Behavior In The Online Collaborative Discussion Activity, Yafeng Zheng, Haogang Bao, Jun Shen, Xuesong Zhai Jan 2020

Investigating Sequence Patterns Of Collaborative Problem-Solving Behavior In The Online Collaborative Discussion Activity, Yafeng Zheng, Haogang Bao, Jun Shen, Xuesong Zhai

Faculty of Engineering and Information Sciences - Papers: Part B

Collaborative problem solving (CPS) is an influential human behavior affecting working performance and well-being. Previous studies examined CPS behavior from the perspective of either social or cognitive dimensions, which leave a research gap from the interactive perspective. In addition, the traditional sequence analysis method failed to combine time sequences and sub-problem sequences together while analyzing behavioral patterns in CPS. This study proposes a developed schema for the multidimensional analysis of CPS. A combination sequential analysis approach that comprises time sequences and sub-problem sequences is also employed to explore CPS patterns. A total of 191 students were recruited and randomly grouped …

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Recent Progress In Designing Stable Composite Lithium Anodes With Improved Wettability, Zi Zheng, Huan Ye, Zaiping Guo Jan 2020

Recent Progress In Designing Stable Composite Lithium Anodes With Improved Wettability, Zi Zheng, Huan Ye, Zaiping Guo

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Authors. Published by Wiley-VCH GmbH Lithium (Li) is a promising battery anode because of its high theoretical capacity and low reduction potential, but safety hazards that arise from its continuous dendrite growth and huge volume changes limit its practical applications. Li can be hosted in a framework material to address these key issues, but methods to encage Li inside scaffolds remain challenging. The melt infusion of molten Li into substrates has attracted enormous attention in both academia and industry because it provides an industrially adoptable technology capable of fabricating composite Li anodes. In this review, the wetting …

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Strengthening Mechanisms In Nickel-Copper Alloys: A Review, Olexandra Marenych, Andrii Kostryzhev Jan 2020

Strengthening Mechanisms In Nickel-Copper Alloys: A Review, Olexandra Marenych, Andrii Kostryzhev

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Nickel-Copper (Ni-Cu) alloys exhibit simultaneously high strength and toughness, excellent corrosion resistance, and may show good wear resistance. Therefore, they are widely used in the chemical, oil, and marine industries for manufacturing of various components of equipment, such as: Drill collars, pumps, valves, impellers, fixtures, pipes, and, particularly, propeller shafts of marine vessels. Processing technology includes bar forging, plate and tube rolling, wire drawing followed by heat treatment (for certain alloy compositions). Growing demand for properties improvement at a reduced cost initiate developments of new alloy chemistries and processing technologies, which …

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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 recrystallization (DRX), changed with …

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Investigating An Innovative Sea-Based Strategy To Mitigate Coastal City Flood Disasters And Its Feasibility Study For Brisbane, Australia, Usman Khalil, Shu-Qing Yang, Muttucumaru Sivakumar, Keith Enever, Mariam Sajid, Muhammad Zain Bin Riaz Jan 2020

Investigating An Innovative Sea-Based Strategy To Mitigate Coastal City Flood Disasters And Its Feasibility Study For Brisbane, Australia, Usman Khalil, Shu-Qing Yang, Muttucumaru Sivakumar, Keith Enever, Mariam Sajid, Muhammad Zain Bin Riaz

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This study examines an innovative Coastal Reservoir (CR) technique as a feasible solution for flood adaptation and mitigation in the Brisbane River Estuary (BRE), Australia, which is vulnerable to coastal flooding. The study analysed the operation of a CR by using the MIKE 21 hydrodynamic modelling package. The 2D hydrodynamic model was calibrated and validated for the 2013 and 2011 flood events respectively, with a Nash-Sutcliffe coefficient (Ens) between 0.87 to 0.97 at all gauges. River right branch widening and dredging produced a 0.16 m reduction in water level at the …

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Issues, Challenges, And Research Trends In Spectrum Management: A Comprehensive Overview And New Vision For Designing 6g Networks, Faizan Qamar, Maraj Uddin Ahmed Siddiqui, M Hindia, Rosilah Hassan, Quang Nguyen Jan 2020

Issues, Challenges, And Research Trends In Spectrum Management: A Comprehensive Overview And New Vision For Designing 6g Networks, Faizan Qamar, Maraj Uddin Ahmed Siddiqui, M Hindia, Rosilah Hassan, Quang Nguyen

Faculty of Engineering and Information Sciences - Papers: Part B

With an extensive growth in user demand for high throughput, large capacity, and low latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing the inherent limitations of the system, as compared with its original premises. Such limitations are encouraging researchers worldwide to focus on next-generation 6G wireless systems, which are expected to address the constraints. To meet the above demands, future radio network architecture should be effectively designed to utilize its maximum radio spectrum capacity. It must simultaneously utilize various new techniques and technologies, such as Carrier Aggregation (CA), Cognitive Radio (CR), and small cell-based Heterogeneous Networks (HetNet), …

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G2i: A Principled Approach To Leveraging The Goal-To-Information Nexus In Bdi Agents, Kinzang Chhogyal, Angela Consoli, Aditya K. Ghose, Hoa K. Dam Jan 2020

G2i: A Principled Approach To Leveraging The Goal-To-Information Nexus In Bdi Agents, Kinzang Chhogyal, Angela Consoli, Aditya K. Ghose, Hoa K. Dam

Faculty of Engineering and Information Sciences - Papers: Part B

In a number of settings, information requirements must be guided by the current goals of an agent. This paper shows how information requirements can be systematically derived from goals by examining the executability conditions of plans and actions that help achieve that goal. We extend the standard BDI framework by annotating beliefs, plans and actions with probabilities and propose the use of information-seeking actions to meet the information requirements. We show how agents can use such information-seeking actions, which can be expensive to execute (often at the cost of other mission-critical actions), to increase the expected utility of their goals, …

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Transient Response & Electromagnetic Behaviour Of Flexible Bow-Tie Shaped Chip-Less Rfid Tag For General Iot Applications, Muhammad Usman Khan, Raad Raad, Javad Foroughi Jan 2020

Transient Response & Electromagnetic Behaviour Of Flexible Bow-Tie Shaped Chip-Less Rfid Tag For General Iot Applications, Muhammad Usman Khan, Raad Raad, Javad Foroughi

Faculty of Engineering and Information Sciences - Papers: Part B

This paper is an extension of Novel Flexible Chip-less Bow-Tie RFID tag in which we presented the design, testing and fabrication of the tag and compared the results with Octagonal Chipless RFID tag. The chipless RFID tag was designed by using simulation software CST microwave studio and fabricated by using laser etching technique on a flexible polymer substrate Polyethylene Terephthalate (PET). The tag operates at frequency ranging from 8 to 18 GHz uses the Frequency Selective Surface (FSS) approach. A series of experiments are performed to measure the Radar Cross Section (RCS) in an anechoic chamber. The tag design is …

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A New Generalized Step-Down Single-Stage Ac/Ac Power Converter, Md Shihab Uddin, Shuvra Prokash Biswas, Md Rabiul Islam, Md Shamim Anower, Abbas Z. Kouzani, M Parvez Mahmud Jan 2020

A New Generalized Step-Down Single-Stage Ac/Ac Power Converter, Md Shihab Uddin, Shuvra Prokash Biswas, Md Rabiul Islam, Md Shamim Anower, Abbas Z. Kouzani, M Parvez Mahmud

Faculty of Engineering and Information Sciences - Papers: Part B

Most traditional AC/AC power converters suffer from power quality problems and multi-stage power conversion losses. The rectifier and inverter-based AC/AC converter topology not only increases multi-stage power conversion losses, but also increases the volume, weight, and cost, and decreases the longevity of the converter due to the DC-link capacitor, line filter and electromagnetic interference (EMI) filter. High-frequency (about 10 kHz) switching advanced pulse width modulation techniques are generally used in order to compensate the power quality problems, which increase the switching losses and introduce the EMI problems. In this paper, a new generalized step-down single-stage line-frequency switching AC/AC power converter …

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Web-Based Patient-Reported Outcome Measures For Personalized Treatment And Care (Prompt-Care): Multicenter Pragmatic Nonrandomized Trial, Afaf Girgis, Ivana Durcinoska, Anthony Arnold, Joseph Descallar, Nasreen Kaadan, Eng-Siew Koh, Andrew Alexis Miller, Weng Ng, Martin G. Carolan, Stephen Della-Fiorentina, Sandra Avery, Geoff P. Delaney Jan 2020

Web-Based Patient-Reported Outcome Measures For Personalized Treatment And Care (Prompt-Care): Multicenter Pragmatic Nonrandomized Trial, Afaf Girgis, Ivana Durcinoska, Anthony Arnold, Joseph Descallar, Nasreen Kaadan, Eng-Siew Koh, Andrew Alexis Miller, Weng Ng, Martin G. Carolan, Stephen Della-Fiorentina, Sandra Avery, Geoff P. Delaney

Faculty of Engineering and Information Sciences - Papers: Part B

Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.10.2020. BACKGROUND: Despite the acceptability and efficacy of e-patient-reported outcome (ePRO) systems, implementation in routine clinical care remains challenging. OBJECTIVE: This pragmatic trial implemented the PROMPT-Care (Patient Reported Outcome Measures for Personalized Treatment and Care) web-based system into existing clinical workflows and evaluated its effectiveness among a diverse population of patients with cancer. METHODS: Adult patients with solid tumors receiving active treatment or follow-up care in four cancer centers were enrolled. The PROMPT-Care intervention supported patient management through (1) monthly off-site electronic PRO physical symptom and psychosocial well-being assessments, (2) …

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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 …

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Fate Of Titanium In Alkaline Electro-Reduction Of Sintered Titanomagnetite, Oscar Bjareborn, Tanzeel Arif, Brian J. Monaghan, Christopher W. Bumby Jan 2020

Fate Of Titanium In Alkaline Electro-Reduction Of Sintered Titanomagnetite, Oscar Bjareborn, Tanzeel Arif, Brian J. Monaghan, Christopher W. Bumby

Faculty of Engineering and Information Sciences - Papers: Part B

Direct electrochemical reduction of iron ore in concentrated NaOH electrolyte has been proposed as a potential route to substantially reducing the global steel industry’s CO2 emissions. Here, we report the solid-state electro-reduction of sintered pellets formed from titanomagnetite ironsand. This commercial iron ore contains ∼4 wt.% Ti which is directly incorporated within the magnetite lattice. At 110 °C, these pellets are electrochemically reduced and exhibit a well-defined reaction front which moves into the pellet as the reaction progresses. The electro-reduction process selectively produces iron metal, whilst the Ti content is not reduced. Instead, Ti becomes enriched in segregated oxide inclusions, …

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