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2022

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Automatic And Fast Classification Of Barley Grains From Images: A Deep Learning Approach, Syed Afaq Ali Shah, Hao Luo, Putu Dita Pickupana, Alexander Ekeze, Ferdous Sohel, Hamid Laga, Chengdao Li, Blakely Paynter, Penghao Wang Jan 2022

Automatic And Fast Classification Of Barley Grains From Images: A Deep Learning Approach, Syed Afaq Ali Shah, Hao Luo, Putu Dita Pickupana, Alexander Ekeze, Ferdous Sohel, Hamid Laga, Chengdao Li, Blakely Paynter, Penghao Wang

Research outputs 2022 to 2026

Australia has a reputation for producing a reliable supply of high-quality barley in a contaminant-free climate. As a result, Australian barley is highly sought after by malting, brewing, distilling, and feed industries worldwide. Barley is traded as a variety-specific commodity on the international market for food, brewing and distilling end-use, as the intrinsic quality of the variety determines its market value. Manual identification of barley varieties by the naked eye is challenging and time-consuming for all stakeholders, including growers, grain handlers and traders. Current industrial methods for identifying barley varieties include molecular protein weights or DNA based technology, which are …

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Realistic Motion Avatars Are The Future For Social Interaction In Virtual Reality, Shane L. Rogers, Rebecca Broadbent, Jemma Brown, Allan Fraser, Craig P. Speelman Jan 2022

Realistic Motion Avatars Are The Future For Social Interaction In Virtual Reality, Shane L. Rogers, Rebecca Broadbent, Jemma Brown, Allan Fraser, Craig P. Speelman

Research outputs 2022 to 2026

This study evaluated participant self-reported appraisal of social interactions with another person in virtual reality (VR) where their conversational partner was represented by a realistic motion avatar. We use the term realistic motion avatar because: 1. The avatar was modelled to look like the conversational partner it represented, and 2. Full face and body motion capture was utilised so that the avatar mimicked the facial and body language of the conversational partner in real-time. We compared social interaction in VR with face-to-face interaction across two communicative contexts: 1. Getting acquainted conversation, and 2. A structured interview where the participant engaged …

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Challenging And Confronting: The Role Of Humanities In Fostering Critical Thinking, Cultural Competency And An Evolution Of Worldview In Enabling Education, Lydia Edwards, Brendan Ritchie Jan 2022

Challenging And Confronting: The Role Of Humanities In Fostering Critical Thinking, Cultural Competency And An Evolution Of Worldview In Enabling Education, Lydia Edwards, Brendan Ritchie

Research outputs 2022 to 2026

Humanities discourse forms part of several Australian academic enabling programs, either embedded within the broader curriculum, or as part of a standalone unit. Within Edith Cowan University’s UniPrep course, an introductory Humanities unit is offered to students as one of two electives alongside three other core units. The unit introduces students to key concepts within the Humanities, exploring disciplines such as ethics, philosophy, language, history, religion, politics, law, Indigenous studies and fine arts. In addition to offering students an understanding of these disciplines, studying Humanities within the context of an academic enabling program can provide students with several other benefits. …

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Edge-Iiotset: A New Comprehensive Realistic Cyber Security Dataset Of Iot And Iiot Applications For Centralized And Federated Learning, Mohamed A. Ferrag, Othmane Friha, Djallel Hamouda, Leandros Maglaras, Helge Janicke Jan 2022

Edge-Iiotset: A New Comprehensive Realistic Cyber Security Dataset Of Iot And Iiot Applications For Centralized And Federated Learning, Mohamed A. Ferrag, Othmane Friha, Djallel Hamouda, Leandros Maglaras, Helge Janicke

Research outputs 2022 to 2026

In this paper, we propose a new comprehensive realistic cyber security dataset of IoT and IIoT applications, called Edge-IIoTset, which can be used by machine learning-based intrusion detection systems in two different modes, namely, centralized and federated learning. Specifically, the dataset has been generated using a purpose-built IoT/IIoT testbed with a large representative set of devices, sensors, protocols and cloud/edge configurations. The IoT data are generated from various IoT devices (more than 10 types) such as Low-cost digital sensors for sensing temperature and humidity, Ultrasonic sensor, Water level detection sensor, pH Sensor Meter, Soil Moisture sensor, Heart Rate Sensor, Flame …

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Asymmetrical Trusted Technology Networks In Developing Economies: A Case Study On Critical Infrastructure In Bhutan, Pratima Pradhan, Bal Subba, Thinley Jamtsho, Ganga Ram Ghimiray, David M. Cook Jan 2022

Asymmetrical Trusted Technology Networks In Developing Economies: A Case Study On Critical Infrastructure In Bhutan, Pratima Pradhan, Bal Subba, Thinley Jamtsho, Ganga Ram Ghimiray, David M. Cook

Research outputs 2022 to 2026

Developing Nations are subject to amplified challenges in terms of the integration of technology, and the exposure to non-domestic opportunism from larger neighboring economies. These challenges are recognizable as asymmetrical differences between what is seen as the normative list of critical infrastructures, and the specialisms that can dominate an emerging economy with early maturity technology networks. This paper discusses the case of Bhutan and demonstrates the need for strengthened approaches to trusted networks to ensure the reliability and continuity of the Nation's critical infrastructures. The paper also links the importance of trusted information sharing networks as part of an overarching …

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A Low-Cost Machine Learning Based Network Intrusion Detection System With Data Privacy Preservation, Jyoti Fakirah, Lauhim Mahfuz Zishan, Roshni Mooruth, Michael L. Johnstone, Wencheng Yang Jan 2022

A Low-Cost Machine Learning Based Network Intrusion Detection System With Data Privacy Preservation, Jyoti Fakirah, Lauhim Mahfuz Zishan, Roshni Mooruth, Michael L. Johnstone, Wencheng Yang

Research outputs 2022 to 2026

Network intrusion is a well-studied area of cyber security. Current machine learning-based network intrusion detection systems (NIDSs) monitor network data and the patterns within those data but at the cost of presenting significant issues in terms of privacy violations which may threaten end-user privacy. Therefore, to mitigate risk and preserve a balance between security and privacy, it is imperative to protect user privacy with respect to intrusion data. Moreover, cost is a driver of a machine learning-based NIDS because such systems are increasingly being deployed on resource-limited edge devices. To solve these issues, in this paper we propose a NIDS …

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Contexts For Children’S Digital Citizenship In India, Korea And Australia: A Literature Review, Kylie Stevenson, Emma Jayakumar, Viet Tho Le, Yeonghwi Ryu, Harrison See Jan 2022

Contexts For Children’S Digital Citizenship In India, Korea And Australia: A Literature Review, Kylie Stevenson, Emma Jayakumar, Viet Tho Le, Yeonghwi Ryu, Harrison See

Research outputs 2022 to 2026

Children’s digital citizenship today: In an increasingly digitised and technically mediated world, an individual’s digital citizenship, or “ability to use digital technology and media in safe, responsible and ethical ways” (DQ Institute, 2019) has never been more relevant, particularly when it concerns our youngest digital citizens. Navigating online spaces safely and confidently are skills fundamental to a modern individual’s social and emotional development, education, work and play. A digital citizen’s abilities, however, are greatly impacted by notions of access; not just physical access, but also access mediated culturally and socio-economically. Less is known about very young children’s experiences of digital …

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How Can We Address The Wicked Problem Of University Student Attrition? A Bed (Early Childhood) Case Study, Gillian Kirk Jan 2022

How Can We Address The Wicked Problem Of University Student Attrition? A Bed (Early Childhood) Case Study, Gillian Kirk

Research outputs 2022 to 2026

Student retention in education courses is a political imperative. This research examined the wicked problem of attrition in a Bachelor of Education (Early Childhood Studies) course, drawing on the experiences of three different groups of students studying early childhood. The participants from each study represented different student groups within the course, which included all female (n = 20), all male (n = 6) and all mid-year entry students (n = 10). A qualitative methodology was employed to capture students’ university experiences and their perceptions of events at university. The research generated a unique theoretical framework examining the intersection between student …

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Airway Morphology And Its Influence On Osa Severity And Surgical Intervention: A Retrospective Study, Fabiana Petrykowski, Raymond Lam, Richard Lewis, Syed Mohammed Shamsul Islam, Mithran Goonewardene Jan 2022

Airway Morphology And Its Influence On Osa Severity And Surgical Intervention: A Retrospective Study, Fabiana Petrykowski, Raymond Lam, Richard Lewis, Syed Mohammed Shamsul Islam, Mithran Goonewardene

Research outputs 2022 to 2026

Introduction: The aim was to assess the relationship between airway morphology and surgical intervention in a cohort of patients presenting with increased body mass index (BMI) and a confirmed diagnosis of obstructive sleep apnoea (OSA). A secondary aim was to revisit the relationship between morphology and OSA severity. Methods: A retrospective analysis was conducted of pre-operative maxillofacial 3D-CT scans of thirty-two patients with a confirmed diagnosis of OSA who received treatment from an ear nose and throat specialist (ENT). Lateral cephalograms were imported into Quick Ceph Studio (Quick Ceph Systems Inc, San Diego, CA, USA) after which linear and angular …

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The Knowledge Produced Through Student Drawings, Vesife Hatisaru Jan 2022

The Knowledge Produced Through Student Drawings, Vesife Hatisaru

Research outputs 2022 to 2026

Drawings have been extensively used as a research method to gather data from research participants including school students regarding their perceptions of mathematics and its teaching and learning. What is valued in drawing-based research in mathematics education, and what kind of knowledge is produced through student drawings, however, is not known. This study examines drawing-based research studies to understand these questions by applying a novel framework – the legitimation code theory (LCT). The study focuses on two cases: one of which looked at middle school students’ images of mathematicians (draw a mathematician) and the other examined the same age group …

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World In Strife – Returning To The Humanities, Clive Barstow, Jill Felicity Durey Jan 2022

World In Strife – Returning To The Humanities, Clive Barstow, Jill Felicity Durey

Research outputs 2022 to 2026

The background of this article relates to a long, ongoing attenuation of the Humanities within universities. The problem is the continuing sidelining of the Humanities in university teaching and research funding. If this attenuation and sidelining continue, the world will be a much more cruel and dangerous place, as there will be no moral or ethical check on scientific and technological developments from a humanitarian perspective. This article discusses some of the fears, hopes and criticisms of the Humanities expressed by scholars around the globe, from western democracies including Australia, as well as from middle-eastern and eastern autocracies. The article …

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Deep Learning Inspired Feature Engineering For Classifying Tremor Severity, Ahmed Al Taee, Seyedehmarzieh Hosseini, Rami N. Khushaba, Tanveer Zia, Chin-Teng Lin, Adel Al-Jumaily Jan 2022

Deep Learning Inspired Feature Engineering For Classifying Tremor Severity, Ahmed Al Taee, Seyedehmarzieh Hosseini, Rami N. Khushaba, Tanveer Zia, Chin-Teng Lin, Adel Al-Jumaily

Research outputs 2022 to 2026

Bio-signals pattern recognition systems can be impacted by several factors with a potential to limit their associated performance and clinical translation. Among these factors, selecting the optimum feature extraction method, that can effectively exploit the interaction between the temporal and spatial information, is the most prominent. Despite the potential of deep learning (DL) models for extracting temporal, spatial, or temporal-spatial information, they are typically restricted by their need for a large amount of training data. The deep wavelet scattering transform (WST) is a relatively recent advancement within the DL literature to replace expensive convolution neural networks models with computationally less …

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Anatomy Of An Internet Hijack And Interception Attack: A Global And Educational Perspective, Ben A. Scott, Michael N. Johnstone, Patryk Szewczyk Jan 2022

Anatomy Of An Internet Hijack And Interception Attack: A Global And Educational Perspective, Ben A. Scott, Michael N. Johnstone, Patryk Szewczyk

Research outputs 2022 to 2026

The Internet’s underlying vulnerable protocol infrastructure is a rich target for cyber crime, cyber espionage and cyber warfare operations. The stability and security of the Internet infrastructure are important to the function of global matters of state, critical infrastructure, global e-commerce and election systems. There are global approaches to tackle Internet security challenges that include governance, law, educational and technical perspectives. This paper reviews a number of approaches to these challenges, the increasingly surgical attacks that target the underlying vulnerable protocol infrastructure of the Internet, and the extant cyber security education curricula; we find the majority of predominant cyber security …

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A Framework Of Lightweight Deep Cross-Connected Convolution Kernel Mapping Support Vector Machines, Qi Wang, Zhaoying Liu, Ting Zhang, Shanshan Tu, Yujian Li, Muhammad Waqas Jan 2022

A Framework Of Lightweight Deep Cross-Connected Convolution Kernel Mapping Support Vector Machines, Qi Wang, Zhaoying Liu, Ting Zhang, Shanshan Tu, Yujian Li, Muhammad Waqas

Research outputs 2022 to 2026

Deep kernel mapping support vector machines have achieved good results in numerous tasks by mapping features from a low-dimensional space to a high-dimensional space and then using support vector machines for classification. However, the depth kernel mapping support vector machine does not take into account the connection of different dimensional spaces and increases the model parameters. To further improve the recognition capability of deep kernel mapping support vector machines while reducing the number of model parameters, this paper proposes a framework of Lightweight Deep Convolutional Cross-Connected Kernel Mapping Support Vector Machines (LC-CKMSVM). The framework consists of a feature extraction module …

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Designing And Using Innovative Learning Spaces: What Teachers Have To Say, Julia E. Morris, Wesley Imms Jan 2022

Designing And Using Innovative Learning Spaces: What Teachers Have To Say, Julia E. Morris, Wesley Imms

Research outputs 2022 to 2026

There is no universal definition of what constitutes an innovative learning environment, because each school is unique. Plans to Pedagogy, developed by the University of Melbourne’s Learning Environments Applied Research Network (LEaRN) team, is exploring issues schools identify as they transition to and use innovative learning environments. Embedded in a range of schools across Australia and New Zealand, each school is assigned an academic who works with them to co-design a project targeting the school’s identified spatial challenge. This paper overviews the eight current Plans to Pedagogy projects to give a sense of the issues faced by teachers in terms …

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Future Climate Streamflow Estimation In The Donnelly River Catchment, Justin Hughes, Bill Wang Jan 2022

Future Climate Streamflow Estimation In The Donnelly River Catchment, Justin Hughes, Bill Wang

Natural resources commissioned reports

The Donnelly River is located in the south-west of Western Australia. An irrigation development has been proposed in the catchment that would extract water from the Donnelly River and store this in an off stream reservoir for irrigation use. Given the known issues related to non-stationarity and hydrological prediction, the Department of Primary Industries and Regional Development (DPIRD) contracted CSIRO to review the hydrological model that was used to estimate future climate streamflow in the Donnelly River. This model was owned and operated by the Department of Water and Environmental Regulation (DWER). The CSIRO review of the model, which also …

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Current School District Administrators’ And Math Teachers’ Perspectives Of Teacher Buy-In For Problem-Based Learning In Middle School Math, Kelly Riley Hastings Jan 2022

Current School District Administrators’ And Math Teachers’ Perspectives Of Teacher Buy-In For Problem-Based Learning In Middle School Math, Kelly Riley Hastings

Walden Dissertations and Doctoral Studies

Project-Based Learning (PBL) in middle school math classrooms is a topic that has not been well-researched, even though math scores in the United States have been declining. In a school district in the Southcentral United States, the local problem was that teacher buy-in for PBL in middle school math classes was unknown, as current literature regarding administrator and teacher perspectives on teacher buy-in is limited. The purpose of the study was to explore current school district administrators’ and math teachers’ perspectives of teacher buy-in for PBL in middle school math in a Southcentral U.S. state. Vygotsky’s social constructivist theory contributes …

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Teacher Perceptions Of The Use Of Cognitively Guided Instruction In Mathematics Classrooms, Irin Sultana Jan 2022

Teacher Perceptions Of The Use Of Cognitively Guided Instruction In Mathematics Classrooms, Irin Sultana

Walden Dissertations and Doctoral Studies

Elementary teachers in California were tasked to use cognitively guided instruction (CGI) strategies in mathematics classrooms, but it was uncertain if they had the self-efficacy, confidence, resources, and support to do so consistently. The purpose of this basic qualitative study was to investigate K-5 teachers’ perceptions about their self-efficacy and confidence in using CGI strategies in the mathematics classroom and what resources or support they felt needed to implement CGI strategies successfully. Bandura’s social cognitive theory, which emphasizes four sources of self-efficacy, was used for the framework analysis. Research questions supported teachers’ self-efficacy and confidence through research questions- What challenges …

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Credit Abuse, Interest Rates, And Loan Performance Of Ten Nigerian Banks, Diala Ugwumba Jan 2022

Credit Abuse, Interest Rates, And Loan Performance Of Ten Nigerian Banks, Diala Ugwumba

Walden Dissertations and Doctoral Studies

AbstractThe ongoing failure in the Nigerian financial system has been a source of concern to the regulatory authorities, stakeholders, depositors, and the banking public because of the role these financial institutions played in the Nigerian economy in the last decade. The root of the problem was credit abuse performed by the bank’s credit officers and executive directors which made it challenging for financial institutions to recover the loans granted by the banks. The issue made investors lose their investments and bankers lose their jobs. The crisis resulted in poor asset quality that eventually eroded the Nigerian financial institution’s capital. Using …

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Design Of Simulated Takeover Request Task, Bilal Alam Khan, Maria Chiara Leva, Sam Cromie Jan 2022

Design Of Simulated Takeover Request Task, Bilal Alam Khan, Maria Chiara Leva, Sam Cromie

Research Outputs: 2025-Present

As the population of older adults is increasing worldwide, it is imperative to accommodate their mobility and hence independence needs in the design of our transport systems. Semi-autonomous vehicles theoretically provide a potential solution to the mobility needs of older adults by supporting them in their driving. However, the technology is not fully matured yet and it still poses issues such as the paradigm of takeover request. This particular scenario may very well cause more problems than it solves. The major issue is that we don’t know how a person above 60 years of age may respond to a Takeover …

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Polarized Structure Function ΣLt' From 𝜋⁰P Electroproduction Data In The Resonance Region At 0.2 Gev² < Q² < 1.0 Gev², E. L. Isupov, V. D. Burkert, A. A. Golubenko, K. Joo, N. S. Markov, V. I. Mokeev, L. C. Smith, N. Zachariou, W. R. Armstrong, H. Atac, Et Al Jan 2022

Polarized Structure Function ΣLt' From 𝜋⁰P Electroproduction Data In The Resonance Region At 0.2 Gev² < Q² < 1.0 Gev², E. L. Isupov, V. D. Burkert, A. A. Golubenko, K. Joo, N. S. Markov, V. I. Mokeev, L. C. Smith, N. Zachariou, W. R. Armstrong, H. Atac, Et Al

Physics Faculty Publications

The first results on the σLT′ structure function in exclusive π0p electroproduction at invariant masses of the final state of 1.5GeV < W < 1.8 GeV and in the range of photon virtualities 0.4 GeV2 < Q2 < 1.0 GeV2 were obtained from data on beam spin asymmetries and differential cross sections measured with the CLAS detector at Jefferson Lab. The Legendre moments determined from the σLT′ structure function have demonstrated sensitivity to the contributions from the nucleon resonances in the second and third resonance regions. These new data on the beam spin asymmetries in π0p electroproduction extend the opportunities for the extraction of the nucleon resonance electro-excitation amplitudes in …

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New Measurements Of The Beam-Normal Single Spin Asymmetry In Elastic Electron Scattering Over A Range Of Spin-0 Nuclei, Prex And Crex Collaborations, D. Adhikari, H. Albataineh, D. Androic, F. Hauenstein, M.N.H. Rashad, W. Zhang, J. Zhang, X. Zheng, Et Al. Jan 2022

New Measurements Of The Beam-Normal Single Spin Asymmetry In Elastic Electron Scattering Over A Range Of Spin-0 Nuclei, Prex And Crex Collaborations, D. Adhikari, H. Albataineh, D. Androic, F. Hauenstein, M.N.H. Rashad, W. Zhang, J. Zhang, X. Zheng, Et Al.

Physics Faculty Publications

We report precision determinations of the beam-normal single spin asymmetries (An) in the elastic scattering of 0.95 and 2.18 GeV electrons off 12C, 40Ca, 48Ca, and 208Pb at very forward angles where the most detailed theoretical calculations have been performed. The first measurements of An for 40Ca and 48Ca are found to be similar to that of 12C, consistent with expectations and thus demonstrating the validity of theoretical calculations for nuclei with Z ≤ 20. We also report An for 208Pb at two …

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Searching For An Enhanced Signal Of The Onset Of Color Transparency In Baryons With D(E,E′P)N Scattering, Shujie Li, Carlos Yero, Jennifer Rittenhouse West, Clare Bennett, Wim Cosyn, Douglas Higinbotham, Misak Sargsian, Holly Szumila-Vance Jan 2022

Searching For An Enhanced Signal Of The Onset Of Color Transparency In Baryons With D(E,E′P)N Scattering, Shujie Li, Carlos Yero, Jennifer Rittenhouse West, Clare Bennett, Wim Cosyn, Douglas Higinbotham, Misak Sargsian, Holly Szumila-Vance

Physics Faculty Publications

Observation of the onset of color transparency in baryons would provide a new means of studying the nuclear strong force and would be the first clear evidence of baryons transforming into a color-neutral point-like size in the nucleus as predicted by quantum chromodynamics. Recent C (e, e′p) results from electron-scattering did not observe the onset of color transparency (CT) in protons up to spacelike four-momentum transfers squared, Q2 = 14.2 GeV 2 . The traditional methods of searching for CT in (e, e′p) scattering use heavy targets favoring kinematics with already initially reduced final state interactions (FSIs) such that …

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Buckling Behaviour Of Cold-Formed Steel Beams With Web Perforations, Nanting Yu Jan 2022

Buckling Behaviour Of Cold-Formed Steel Beams With Web Perforations, Nanting Yu

School of Engineering, Computing and Mathematics Theses

Cold-formed steel (CFS) members are widely used in the constructional industry, because CFS has high strength-to-weight ratio and can be easily fabricated into different shapes. In order to accommodate services like electric wires and pipelines, perforations are commonly punched into the web of CFS beams. However, the appearance of web openings may reduce the properties of the cross section and hence change the stress distribution along the longitude axis. As a result, the perforated cold-formed steel (PCFS) beam is more susceptible to lateral-torsional buckling. For specific cross sections controlled by distortional buckling, the restraint of web on the flange weakens …

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Machine Learning-Based Exploration Of Blood-Based Biomarkers For Alzheimer’S Disease Diagnosis, Chima Stanley Eke Jan 2022

Machine Learning-Based Exploration Of Blood-Based Biomarkers For Alzheimer’S Disease Diagnosis, Chima Stanley Eke

School of Engineering, Computing and Mathematics Theses

Alzheimer’s disease (AD) is a neurodegenerative disease with typical clinical symptoms in the form of progressive cognitive impairment and memory loss. To facilitate early diagnosis of AD and a greater understanding of the mechanisms underlying its clinical expression, the use of biomarkers is necessary. Furthermore, it is believed that biomarkers provide a more objective and accessible means of diagnosis. Currently, established biomarkers include neuroimaging markers, such as those based on positron emission tomography (PET), and biochemical markers such as cerebrospinal fluid (CSF) markers. However, neuroimaging is expensive and may not be widely available and CSF testing is invasive. Blood-based biomarkers …

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Graphene Based Electrochemical Biosensors For The Detection Of Blood Biomarkers Of Alzheimer’S Disease, Jagriti Sethi Jan 2022

Graphene Based Electrochemical Biosensors For The Detection Of Blood Biomarkers Of Alzheimer’S Disease, Jagriti Sethi

School of Engineering, Computing and Mathematics Theses

Alzheimer’s disease (AD) is a neurodegenerative disorder that affects millions of people around the world with no available treatments to cure, reverse or even slow down the disease progression. Detection of AD in the early stages, before the massive neuronal loss, is key to developing disease-modifying treatments and preventive strategies. The current AD diagnosis is largely based on evaluation tests such as Mini-Mental State Examination (MMSE), imaging techniques such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and postmortem autopsies. It is expensive and only available at the later/severe stages when the brain of the patient is already damaged …

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The Impact Of A Professional Development Mooc On The Teaching Beliefs Of University Science Laboratory Teachers, Natasa Brouwer, Gunther Fleerackers, Iwona Maciejowska, Claire M. Mcdonnell, Mauro Mocerino Jan 2022

The Impact Of A Professional Development Mooc On The Teaching Beliefs Of University Science Laboratory Teachers, Natasa Brouwer, Gunther Fleerackers, Iwona Maciejowska, Claire M. Mcdonnell, Mauro Mocerino

Journal Articles

This study contributes to the understanding of online professional development of university STEM (Science, Technology, Engineering and Mathematics) lecturers. An active learning massive open online course (MOOC) to develop best practice in teaching in university science laboratories was developed using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model in three cycles. The teaching beliefs and intentions of the participants were determined before and after they completed the MOOC and their level of satisfaction with this professional development opportunity was examined using a survey. The results showed high completion rates and an appreciation of the online course design. Participants who completed …

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Electrically Driven Reprogrammable Phase-Change Metasurface Reaching 80% Efficiency, Sajjad Abdollahramezani, Omid Hemmatyar, Mohammad Taghinejad, Hossein Taghinejad, Alex Krasnok, Ali A. Eftekhar, Christian Teichrib, Sanchit Deshmukh, Mostafa A. El-Sayed, Eric Pop, Matthias Wuttig, Andrea Alù, Wenshan Cai, Ali Adibi Jan 2022

Electrically Driven Reprogrammable Phase-Change Metasurface Reaching 80% Efficiency, Sajjad Abdollahramezani, Omid Hemmatyar, Mohammad Taghinejad, Hossein Taghinejad, Alex Krasnok, Ali A. Eftekhar, Christian Teichrib, Sanchit Deshmukh, Mostafa A. El-Sayed, Eric Pop, Matthias Wuttig, Andrea Alù, Wenshan Cai, Ali Adibi

Advanced Science Research Center

Phase-change materials (PCMs) offer a compelling platform for active metaoptics, owing to their large index contrast and fast yet stable phase transition attributes. Despite recent advances in phase-change metasurfaces, a fully integrable solution that combines pronounced tuning measures, i.e., efficiency, dynamic range, speed, and power consumption, is still elusive. Here, we demonstrate an in situ electrically driven tunable metasurface by harnessing the full potential of a PCM alloy, Ge2Sb2Te5 (GST), to realize non-volatile, reversible, multilevel, fast, and remarkable optical modulation in the near-infrared spectral range. Such a reprogrammable platform presents a record eleven-fold change in …

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D-Lib Magazine Pioneered Web-Based Scholarly Communication, Michael L. Nelson, Herbert Van De Sompel Jan 2022

D-Lib Magazine Pioneered Web-Based Scholarly Communication, Michael L. Nelson, Herbert Van De Sompel

Computer Science Faculty Publications

The web began with a vision of, as stated by Tim Berners-Lee in 1991, “that much academic information should be freely available to anyone”. For many years, the development of the web and the development of digital libraries and other scholarly communications infrastructure proceeded in tandem. A milestone occurred in July, 1995, when the first issue of D-Lib Magazine was published as an online, HTML-only, open access magazine, serving as the focal point for the then emerging digital library research community. In 2017 it ceased publication, in part due to the maturity of the community it served as well as …

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Interpretable Design Of Reservoir Computing Networks Using Realization Theory, Wei Miao, Vignesh Narayanan, Jr-Shin Li Jan 2022

Interpretable Design Of Reservoir Computing Networks Using Realization Theory, Wei Miao, Vignesh Narayanan, Jr-Shin Li

Publications

The reservoir computing networks (RCNs) have been successfully employed as a tool in learning and complex decision-making tasks. Despite their efficiency and low training cost, practical applications of RCNs rely heavily on empirical design. In this article, we develop an algorithm to design RCNs using the realization theory of linear dynamical systems. In particular, we introduce the notion of α-stable realization and provide an efficient approach to prune the size of a linear RCN without deteriorating the training accuracy. Furthermore, we derive a necessary and sufficient condition on the irreducibility of the number of hidden nodes in linear RCNs based …

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