Social and Behavioral Sciences | Open Access Articles

Stanley Surrey And The Transformation Of Administrative Law In Japan, Keigo Fuchi

University of Pennsylvania Asian Law Review

No abstract provided.

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Judicial Historical Revisionism In The Philippines: Judicial Review And The Rehabilitation Of Ferdinand Marcos, Dante Gatmaytan

University of Pennsylvania Asian Law Review

No abstract provided.

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The Chesterfield Pike Plan: A Community Revitalization Plan For Historic Route 1, Eric Van Mai

Master of Urban and Regional Planning Capstone Projects

The Chesterfield Pike Plan complements Chesterfield County’s ongoing efforts to revitalize the northern section of the Jefferson Davis Highway corridor. By focusing on housing and local economic challenges on what is locally known as “The Pike,” this plan explores community revitalization strategies in a diverse inner-ring suburb. The Pike has been impacted by the nationwide trends of suburban poverty and immigrant suburbanization, which present challenges and opportunities in the pursuit of revitalization. Striking a balance between meeting community needs and economic growth requires a plan that identifies ways in which both new private investment and the existing community can benefit. …

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Library Gateway, Spring 2020, San Jose State University Library

Library Gateway

No abstract provided.

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The Effect Of Positive Affirmations On Self-Esteem And Well-Being In College Students, Lynnelle Arquiza

Psychology | Senior Theses

Spontaneous affirmations have been associated with greater levels of happiness (Emmanuel et al., 2018), and self-esteem has found to be fostered through positive regard from others (Rogers, 1951 as cited by Maxwell & Bachkirova, 2010). Past research shows that delivering virtual messages through a mobile phone is a widely accessible method in facilitating behavior changes (Sharifi et al., 2013). The goal of this study is to examine how virtual positive affirmations via mobile app or text message can increase self-esteem and well-being. Twenty-three participants were recruited from psychology courses, mostly females aged 18-22 and of Asian descent. Participants were sent …

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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 …

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Susceptibility Artifact Correction For Sub-Millimeter Fmri Using Inverse Phase Encoding Registration And T1 Weighted Regularization, Soan Duong, Son Lam Phung, Abdesselam Bouzerdoum, Harriet Boyd Taylor, A Puckett, Mark M. Schira

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier B.V. Background: Functional magnetic resonance imaging (fMRI) enables non-invasive examination of both the structure and the function of the human brain. The prevalence of high spatial-resolution (sub-millimeter) fMRI has triggered new research on the intra-cortex, such as cortical columns and cortical layers. At present, echo-planar imaging (EPI) is used exclusively to acquire fMRI data; however, susceptibility artifacts are unavoidable. These distortions are especially severe in high spatial-resolution images and can lead to misrepresentation of brain function in fMRI experiments. New method: This paper presents a new method for correcting susceptibility artifacts by combining a T1-weighted (T1w) image …

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Wearable Electronic Textiles From Nanostructured Piezoelectric Fibers, Fatemeh Mokhtari, Geoffrey M. Spinks, Cormac Fay, Zhenxiang Cheng, Raad Raad, Jiangtao Xi, Javad Foroughi

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Wearable energy harvesting is of practical interest for many years and for diverse applications, including development of self-powered wireless sensors within garments for human health monitoring. Herein, a novel approach is reported to create wearable energy generators and sensors using nanostructured hybrid piezoelectric fibers and exploiting the enormous variety of textile architectures. It is found that high performance hybrid piezofiber is obtained using a barium titanate (BT) nanoparticle and poly(vinylidene fluoride) (PVDF) with a mass ratio of 1:10. These fibers are knitted to form a wearable energy generator that produced a …

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State Of The Art Of Solid-State Transformers: Advanced Topologies, Implementation Issues, Recent Progress And Improvements, Mahammad Hannan, Pin Ker, Molla Lipu, Zhen Choi, M Rahman, Kashem M. Muttaqi, Frede Blaabjerg

Faculty of Engineering and Information Sciences - Papers: Part B

© 2013 IEEE. Solid-state transformer (SST) is an emerging technology integrating with a transformer power electronics converters and control circuitry. This paper comprehensively reviews the SST topologies suitable for different voltage levels and with varied stages, their control operation, and different trends in applications. The paper discusses various SST configurations with their design and characteristics to convert the input to output under unipolar and bipolar operation. A comparison between the topologies, control operation and applications are included. Different control models and schemes are explained. Potential benefits of SST in many applications in terms of controllability and the synergy of AC …

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The Energy Transformation Of Internal Erosion Based On Fluid-Particle Coupling, Thanh Trung Nguyen, Buddhima Indraratna

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Ltd The transformation of energy is an intrinsic process that is needed to trigger the internal erosion of soils subjected to a fluid flow, but how to capture this process is not understood very well. This is why this study aims to address these complex processes through a numerical fluid-particle coupling simulation. The computational fluid dynamics (CFD) is used to model fluid flows which is coupled with the discrete element method (DEM) employed to simulate soil particles. Detailed migration of particles and fluid variables are recorded to enable their kinetic energy to be computed. Successful experiments are …

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Transient Nonlinear Heat Transfer Analysis Using A Generic Grid Refinement For Structure Parameter Variations, S Feng, Y Tao, Zhenjun Ma, Grzegorz Krolczyk, Zhixiong Li

Faculty of Engineering and Information Sciences - Papers: Part B

2020 The Authors Traditional finite element models are usually established based on specific structures to address the transient nonlinear heat transfer analysis; however, if the structure parameters change one has to reanalyze/rebuild the finite element models, resulting in a lot of additional computational cost. To address this problem, this work develops a generic grid refinement approach to improve the computational efficiency of nonlinear heat transfer analysis. The advantage of the proposed method lies that the grids can be used to establish connections between original and modified structures through transfer operators, which is calculated only once for the original structures and …

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Thermodynamic Analysis Of A Solar-Driven High-Temperature Steam Electrolyzer For Clean Hydrogen Production, Wei He, Mohammad Namar, Zhixiong Li, Akbar Maleki, Iskander Tlili, Mostafa Safdari

Faculty of Engineering and Information Sciences - Papers: Part B

2020 Elsevier Ltd Increasing world population and consequent increase in fossil fuels consumption emerge the necessity of looking for new sources of energy; resources that are clean, cheap, and renewable. Hydrogen is known as a clean and renewable fuel in various approaches; so, finding clean ways of hydrogen production can be considered as an appropriate solution for climate changes and global warming. In this study, a conceptual design of solar-driven high-temperature steam electrolyzer system is presented, and its performance is investigated thermodynamically using a real-time simulator in-house code. Evaluation of the effects of inlet parameters on the system performance is …

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Thermo-Economic Selection Criteria Of Working Fluid Used In Dual-Loop Orc For Engine Waste Heat Recovery By Multi-Objective Optimization, Zhiqi Wang, Yanhua Hu, Xiaoxia Xia, Qingsong Zuo, Bin Zhao, Zhixiong Li

Faculty of Engineering and Information Sciences - Papers: Part B

2020 Elsevier Ltd The dual-loop organic Rankine cycle(DORC) is considered as an important way for engine waste heat recovery (WHR). Currently, researchers mainly focus on thermodynamic analysis and the performance comparison of multiple existing working fluid pairs without optimizing the working fluid pairs. Therefore, a novel analysis method of selection criteria based on thermodynamic and economic is provided to select a suitable working fluid using the multi-objective optimization. Firstly, a multi-objective optimization was performed using the Non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ) to maximize exergy efficiency and minimize payback period under 24 candidate working fluid pairs from the references. And the Technical …

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Numerical Simulation Of Strip Shape Of High-Strength Steel During Hot Rolling Process, Lianjie Li, Haibo Xie, Xu Liu, Tianwu Liu, Enrui Wang, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

2020 Trans Tech Publications Ltd, Switzerland. High-strength steel is widely applied due to its excellent mechanical properties. However, its high strength in turn brings great difficulties to production and processing such as hot strip rolling owing to the high rolling force, which results in large elastic deformation of roll stack and poses a huge challenge to the control of strip crown and flatness. In this paper, A threedimensional (3D) elastic-plastic coupled thermo-mechanical finite element (FE) model for hot strip rolling of high-strength steel is developed and then verified experimentally. This model not only calculates the elastic deformation of rolls and …

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Attention-Based Residual Network With Scattering Transform Features For Hyperspectral Unmixing With Limited Training Samples, Yiliang Zeng, Christian H. Ritz, Jiahong Zhao, Jinhui Lan

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. This paper proposes a framework for unmixing of hyperspectral data that is based on utilizing the scattering transform to extract deep features that are then used within a neural network. Previous research has shown that using the scattering transform combined with a traditional K-nearest neighbors classifier (STFHU) is able to achieve more accurate unmixing results compared to a convolutional neural network (CNN) applied directly to the hyperspectral images. This paper further explores hyperspectral unmixing in limited training data scenarios, which are likely to occur in practical applications where the access to large amounts of labeled …

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Sparsity-Based Robust Bistatic Mimo Radar Imaging In The Presence Of Array Errors, Wenyu Gao, Jun Li, Daming Zhang, Qinghua Guo

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Wenyu Gao et al. A sparse recovery method for robust transmit-receive angle imaging in a bistatic MIMO radar is proposed to deal with the effect of array gain-phase errors. The impact of multiplicative array gain-phase errors is changed to be additive through model reformulation, and transmit-receive angle imaging is formulated to a sparse total least square signal problem. Then, an iterative algorithm is proposed to solve the optimization problem. Compared with existing methods, the proposed method can achieve a significant performance gain in the case that the number of snapshots is small. Simulation results verify the effectiveness of …

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Dtn And Non-Dtn Routing Protocols For Inter-Cubesat Communications: A Comprehensive Survey, Mohamed Atef Madni, Saeid Iranmanesh, Raad Raad

Faculty of Engineering and Information Sciences - Papers: Part B

CubeSats, which are limited by size and mass, have limited functionality. These miniaturised satellites suffer from a low power budget, short radio range, low transmission speeds, and limited data storage capacity. Regardless of these limitations, CubeSats have been deployed to carry out many research missions, such as gravity mapping and the tracking of forest fires. One method of increasing their functionality and reducing their limitations is to form CubeSat networks, or swarms, where many CubeSats work together to carry out a mission. Nevertheless, the network might have intermittent connectivity and, accordingly, data communication becomes challenging in such a disjointed network …

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A Decentralized Latency-Aware Task Allocation And Group Formation Approach With Fault Tolerance For Iot Applications, Muhammad Mudassar, Yanlong Zhai, Lejian Liao, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

Development of internet of things (IoT) and smart devices eased life by offering numerous applications targeting to provide real-time low latency services, but they also brought challenges in handling huge data generated from the powerful computations, to get a job done. Decentralized edge computing could help to achieve latency requirements of the applications by executing them closer to the user at edge of network, but most of the current studies actually deployed centralized approaches for cluster computing at edge, which put extra overhead of cluster formation and management. In this article, we propose to group heterogeneous edge nodes on task …

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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 to health care services that …

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The Contribution Of Electronic Health Records To Risk Management Through Accreditation Of Residential Aged Care Homes In Australia, Ping Yu, Tao Jiang, David M. Hailey, Jun Ma, Siyu Qian

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Author(s). Background: The Australian government has implemented a compulsory aged care accreditation system to guide and monitor the risk management approach in registered residential aged care (RAC) homes. This research assessed the contribution of electronic health records (EHR) to risk management in RAC homes in relation to the extent that aged care accreditation fulfils its role. Methods: A convenience sample of 5560 aged care accreditation reports published from 2011 to 2018 was manually downloaded from the Accreditation Agency web site. A mixed-method approach of text data mining and manual content analysis was used to identify any significant …

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Cross-Aisle Seismic Performance Of Selective Storage Racks, James Maguire, Lip H. Teh, G Clifton, Z Tang, James Lim

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 A series of single-axis shaking table tests were conducted on three full-scale selective storage racks in the cross-aisle direction. The uplifting and rocking behaviour of the racks was examined under three baseplate types: ductile, heavy duty, and unanchored. Each rack was subjected to a sequence of ground motions of increasing intensity up to failure, with a total of 29 tests conducted. At 1.5 times the respective design level ground motions, the heavy duty baseplates caused a foundation failure while the unanchored rack failed by overturning. The rack with ductile baseplates survived all tests up to 2.3 times the …

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Computational Simulation Of Eccentrically Loaded Circular Thin-Walled Concrete-Filled Double Steel Tubular Slender Columns, Mizan Ahmed, Qing Liang, Vipulkumar Patel, Muhammad N. S Hadi

Faculty of Engineering and Information Sciences - Papers: Part B

The concrete confinement provided by the circular steel tubes improves the performance of circular concretefilled double steel tubular (CFDST) columns, which have increasingly been employed as high-performance structural members in tall buildings. This paper presents computational and design models for the simulation and design of high strength CFDST slender columns composed of circular thin-walled sections that are eccentrically loaded. The formulation of the computational model is described, which takes into account the influences of concrete confinement, geometric imperfection, second-order, gradual plasticity of steel, and geometric and material nonlinearities. The inverse quadratic method is implemented in computational algorithms which solve the …

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Specs: A Non-Parametric Method To Identify Tissue-Specific Molecular Features For Unbalanced Sample Groups, Celine Everaert, Pieter Volders, Annelien Morlion, Olivier Thas, Pieter Mestdagh

Faculty of Engineering and Information Sciences - Papers: Part B

2020 The Author(s). Background: To understand biology and differences among various tissues or cell types, one typically searches for molecular features that display characteristic abundance patterns. Several specificity metrics have been introduced to identify tissue-specific molecular features, but these either require an equal number of replicates per tissue or they can't handle replicates at all. Results: We describe a non-parametric specificity score that is compatible with unequal sample group sizes. To demonstrate its usefulness, the specificity score was calculated on all GTEx samples, detecting known and novel tissue-specific genes. A webtool was developed to browse these results for genes or …

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Exploring Nonlinear Diffusion Equations For Modelling Dye-Sensitized Solar Cells, Benjamin Maldon, Ngamta Thamwattana, Maureen P. Edwards

Faculty of Engineering and Information Sciences - Papers: Part B

2020 by the authors. Dye-sensitized solar cells offer an alternative source for renewable energy by means of converting sunlight into electricity. While there are many studies concerning the development of DSSCs, comprehensive mathematical modelling of the devices is still lacking. Recent mathematical models are based on diffusion equations of electron density in the conduction band of the nano-porous semiconductor in dye-sensitized solar cells. Under linear diffusion and recombination, this paper provides analytical solutions to the diffusion equation. Further, Lie symmetry analysis is adopted in order to explore analytical solutions to physically relevant special cases of the nonlinear diffusion equations. While …

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A New Ai-Surrogate Model For Dynamics Analysis Of A Magnetorheological Damper In The Semi-Active Seat Suspension, Xinhua Liu, Ningning Wang, Kun Wang, Shumei Chen, Shuaishuai Sun, Zhixiong Li, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Author(s). Published by IOP Publishing Ltd. This paper aims to develop a surrogate model for dynamics analysis of a magnetorheological damper (MRD) in the semi-active seat suspension system. An improved fruit fly optimization algorithm (IFOA) which enhances the global search capability of the original FOA is proposed to optimize the structure of a back propagation neural network (BPNN) in establishing the surrogate model. An MRD platform was fabricated to generate experimental data to feed the IFOA-BPNN model. Intrinsic patterns about the MRD dynamics behind the datasets have been discovered to establish a reliable MRD surrogate model. The …

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Approaches To Dealing With Missing Data In Railway Asset Management, Paul Mcmahon, Tieling Zhang, Richard Dwight

Faculty of Engineering and Information Sciences - Papers: Part B

The collection of reliable and high-quality data is seen as a prerequisite for effective and efficient rail infrastructure and rolling stock asset management to meet the requirements of asset owners and service providers. In this paper, the importance of recovering missing information in railway asset management is highlighted, and the advanced models and algorithms that have been applied to recovering the missed data are analyzed and discussed. Through making comparisons among these models and algorithms, a procedure is proposed to guide selecting the appropriate models based on different data missing scenarios. Using the newly developed framework with one dataset from …

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Scheduling Of A Parcel Delivery System Consisting Of An Aerial Drone Interacting With Public Transportation Vehicles, Hailong Huang, Andrey V. Savkin, Chao Huang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This paper proposes a novel parcel delivery system which consists of a drone and public transportation vehicles such as trains, trams, etc. This system involves two delivery schemes: drone-direct scheme referring to delivering to a customer by a drone directly and drone–vehicle collaborating scheme referring to delivering a customer based on the collaboration of a drone and public transportation vehicles. The fundamental characteristics including the delivery time, energy consumption and battery recharging are modelled, based on which a time-dependent scheduling problem for a single drone is formulated. It is shown to …

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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 …

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Capacity Maximized Linear Precoder Design For Spatial-Multiplexing Mimo Vlc Systems, Yanrong Zhai, Hao Chi, Jun Tong, Jiangtao Xi

Faculty of Engineering and Information Sciences - Papers: Part B

© 2013 IEEE. This paper proposes a novel linear precoder design based on the singular value decomposition (SVD) for multi-input multi-output visible light communications (MIMO VLC). We provide an analytical expression on power allocation subject to the function of maximizing the lower bound of capacity according to the optical wireless communication channel model. The expression is rather different from the radio frequency (RF) communications due to the non-negativity of the transmitted signals in VLC. Furthermore, we design an adaptive bit loading scheme for sub-streams with consideration of the tremendous gain difference among subchannels. Performances of the proposed adaptive power and …

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Deep Gabor Neural Network For Automatic Detection Of Mine-Like Objects In Sonar Imagery, Hoang Thanh Le, Son Lam Phung, Philip B. Chapple, Abdesselam Bouzerdoum, Christian H. Ritz, Le Chung Tran

Faculty of Engineering and Information Sciences - Papers: Part B

With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. High-resolution imaging sonars can be mounted on various survey platforms, typically autonomous underwater vehicles, which provide enhanced speed and improved data quality with long-range support. This paper addresses the automatic detection of mine-like objects using sonar images. The proposed Gabor-based detector is designed as a feature pyramid network with a small number of trainable weights. Our approach combines both semantically weak and strong features to handle mine-like objects at multiple scales effectively. For feature extraction, we introduce a parameterized …

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Full-Text Articles in Social and Behavioral Sciences

Stanley Surrey And The Transformation Of Administrative Law In Japan, Keigo Fuchi

University of Pennsylvania Asian Law Review

Judicial Historical Revisionism In The Philippines: Judicial Review And The Rehabilitation Of Ferdinand Marcos, Dante Gatmaytan

University of Pennsylvania Asian Law Review

The Chesterfield Pike Plan: A Community Revitalization Plan For Historic Route 1, Eric Van Mai

Master of Urban and Regional Planning Capstone Projects

Library Gateway, Spring 2020, San Jose State University Library

Library Gateway

The Effect Of Positive Affirmations On Self-Esteem And Well-Being In College Students, Lynnelle Arquiza

Psychology | Senior Theses

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

Susceptibility Artifact Correction For Sub-Millimeter Fmri Using Inverse Phase Encoding Registration And T1 Weighted Regularization, Soan Duong, Son Lam Phung, Abdesselam Bouzerdoum, Harriet Boyd Taylor, A Puckett, Mark M. Schira

Faculty of Engineering and Information Sciences - Papers: Part B

Wearable Electronic Textiles From Nanostructured Piezoelectric Fibers, Fatemeh Mokhtari, Geoffrey M. Spinks, Cormac Fay, Zhenxiang Cheng, Raad Raad, Jiangtao Xi, Javad Foroughi

Faculty of Engineering and Information Sciences - Papers: Part B

State Of The Art Of Solid-State Transformers: Advanced Topologies, Implementation Issues, Recent Progress And Improvements, Mahammad Hannan, Pin Ker, Molla Lipu, Zhen Choi, M Rahman, Kashem M. Muttaqi, Frede Blaabjerg

Faculty of Engineering and Information Sciences - Papers: Part B

The Energy Transformation Of Internal Erosion Based On Fluid-Particle Coupling, Thanh Trung Nguyen, Buddhima Indraratna

Faculty of Engineering and Information Sciences - Papers: Part B

Transient Nonlinear Heat Transfer Analysis Using A Generic Grid Refinement For Structure Parameter Variations, S Feng, Y Tao, Zhenjun Ma, Grzegorz Krolczyk, Zhixiong Li

Faculty of Engineering and Information Sciences - Papers: Part B

Thermodynamic Analysis Of A Solar-Driven High-Temperature Steam Electrolyzer For Clean Hydrogen Production, Wei He, Mohammad Namar, Zhixiong Li, Akbar Maleki, Iskander Tlili, Mostafa Safdari

Faculty of Engineering and Information Sciences - Papers: Part B

Thermo-Economic Selection Criteria Of Working Fluid Used In Dual-Loop Orc For Engine Waste Heat Recovery By Multi-Objective Optimization, Zhiqi Wang, Yanhua Hu, Xiaoxia Xia, Qingsong Zuo, Bin Zhao, Zhixiong Li

Faculty of Engineering and Information Sciences - Papers: Part B

Numerical Simulation Of Strip Shape Of High-Strength Steel During Hot Rolling Process, Lianjie Li, Haibo Xie, Xu Liu, Tianwu Liu, Enrui Wang, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

Attention-Based Residual Network With Scattering Transform Features For Hyperspectral Unmixing With Limited Training Samples, Yiliang Zeng, Christian H. Ritz, Jiahong Zhao, Jinhui Lan

Faculty of Engineering and Information Sciences - Papers: Part B

Sparsity-Based Robust Bistatic Mimo Radar Imaging In The Presence Of Array Errors, Wenyu Gao, Jun Li, Daming Zhang, Qinghua Guo

Faculty of Engineering and Information Sciences - Papers: Part B

Dtn And Non-Dtn Routing Protocols For Inter-Cubesat Communications: A Comprehensive Survey, Mohamed Atef Madni, Saeid Iranmanesh, Raad Raad

Faculty of Engineering and Information Sciences - Papers: Part B

A Decentralized Latency-Aware Task Allocation And Group Formation Approach With Fault Tolerance For Iot Applications, Muhammad Mudassar, Yanlong Zhai, Lejian Liao, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

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

The Contribution Of Electronic Health Records To Risk Management Through Accreditation Of Residential Aged Care Homes In Australia, Ping Yu, Tao Jiang, David M. Hailey, Jun Ma, Siyu Qian

Faculty of Engineering and Information Sciences - Papers: Part B

Cross-Aisle Seismic Performance Of Selective Storage Racks, James Maguire, Lip H. Teh, G Clifton, Z Tang, James Lim

Faculty of Engineering and Information Sciences - Papers: Part B

Computational Simulation Of Eccentrically Loaded Circular Thin-Walled Concrete-Filled Double Steel Tubular Slender Columns, Mizan Ahmed, Qing Liang, Vipulkumar Patel, Muhammad N. S Hadi

Faculty of Engineering and Information Sciences - Papers: Part B

Specs: A Non-Parametric Method To Identify Tissue-Specific Molecular Features For Unbalanced Sample Groups, Celine Everaert, Pieter Volders, Annelien Morlion, Olivier Thas, Pieter Mestdagh

Faculty of Engineering and Information Sciences - Papers: Part B

Exploring Nonlinear Diffusion Equations For Modelling Dye-Sensitized Solar Cells, Benjamin Maldon, Ngamta Thamwattana, Maureen P. Edwards

Faculty of Engineering and Information Sciences - Papers: Part B

A New Ai-Surrogate Model For Dynamics Analysis Of A Magnetorheological Damper In The Semi-Active Seat Suspension, Xinhua Liu, Ningning Wang, Kun Wang, Shumei Chen, Shuaishuai Sun, Zhixiong Li, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part B

Approaches To Dealing With Missing Data In Railway Asset Management, Paul Mcmahon, Tieling Zhang, Richard Dwight

Faculty of Engineering and Information Sciences - Papers: Part B

Scheduling Of A Parcel Delivery System Consisting Of An Aerial Drone Interacting With Public Transportation Vehicles, Hailong Huang, Andrey V. Savkin, Chao Huang

Faculty of Engineering and Information Sciences - Papers: Part B

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

Capacity Maximized Linear Precoder Design For Spatial-Multiplexing Mimo Vlc Systems, Yanrong Zhai, Hao Chi, Jun Tong, Jiangtao Xi

Faculty of Engineering and Information Sciences - Papers: Part B

Deep Gabor Neural Network For Automatic Detection Of Mine-Like Objects In Sonar Imagery, Hoang Thanh Le, Son Lam Phung, Philip B. Chapple, Abdesselam Bouzerdoum, Christian H. Ritz, Le Chung Tran

Faculty of Engineering and Information Sciences - Papers: Part B