cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Real-Time Power Quality Monitoring System for Distribution Grid.pdf
Creators: name: Eranda, Rajith
name: Kudahetti, Rashmika
Publisher: name: figshare
Year: 2022
Subjects: subject: 90699 Electrical and Electronic Engineering not elsewhere classified
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 90607 Power and Energy Systems Engineering (excl. Renewable Power)

description: In this paper, it has introduced a new system that is capable of performing real-time continuous power quality (PQ) monitoring in the distribution grid, from a remote station. The main component of this system is a smart meter which is developed to acquire grid parameters to calculate PQ parameters such as current and voltage total harmonic distortion (THD) values rms current and voltage, active and apparent power, power factor and voltage unbalance. To perform monitoring functions, this system contains both a desktop graphical user interface (GUI) and a mobile application. A person in a remote monitoring station can observe above mentioned PQ parameters' variations in the distribution grid, which are updated every 15s. The operator can also observe PQ issues like THD variations, undervoltage, overvoltage, voltage sags, voltage swell, and percentage voltage unbalance variations. This system also incorporates functions to observe past records of the PQ profile. There are separate circuits to measure grid voltage and load current. These data are then transmitted to the Raspberry Pi 3 via Teensy 3.2 microcontroller. Raspberry Pi 3 microcomputer has been used to perform calculations and the Analog to Digital conversion of data is done by Teensy 3.2 microcontroller. In order to calculate THD values, the fast Fourier transform (FFT) algorithm has been used Transmission of data to the remote station is performed by using cloud-based technology. Desktop GUI is developed by using MATLAB, and the mobile application is developed by using Android Studio. This system costs around Rs. 50000 and has the ability to perform real-time PQ monitoring and to observe past records in the distribution grid.
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness
Creators: name: Jiang, Liyao
name: Li, Chenglin
name: Chen, Haolan
name: Gao, Xiaodong
name: Zhong, Xinwang
name: Qiu, Yang
name: Ye, Shani
name: Niu, Di
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Online advertisements are important elements in e-commerce sites, social media platforms, and search engines. With the increasing popularity of mobile browsing, many online ads are displayed with visual information in the form of a cover image in addition to text descriptions to grab the attention of users. Various recent studies have focused on predicting the click rates of online advertisements aware of visual features or composing optimal advertisement elements to enhance visibility. In this paper, we propose Advertisement Style Editing and Attractiveness Enhancement (AdSEE), which explores whether semantic editing to ads images can affect or alter the popularity of online advertisements. We introduce StyleGAN-based facial semantic editing and inversion to ads images and train a click rate predictor attributing GAN-based face latent representations in addition to traditional visual and textual features to click rates. Through a large collected dataset named QQ-AD, containing 20,527 online ads, we perform extensive offline tests to study how different semantic directions and their edit coefficients may impact click rates. We further design a Genetic Advertisement Editor to efficiently search for the optimal edit directions and intensity given an input ad cover image to enhance its projected click rates. Online A/B tests performed over a period of 5 days have verified the increased click-through rates of AdSEE-edited samples as compared to a control group of original ads, verifying the relation between image styles and ad popularity. We open source the code for AdSEE research at https://github.com/LiyaoJiang1998/adsee.
description: Accepted to KDD 2023 Applied Data Science Track
Using a Distributional Semantic Vector Space with a Knowledge Base for Reasoning in Uncertain Conditions
Creators: name: Summers-Stay, Douglas
name: Voss, Clare
name: Cassidy, Taylor
Publisher: name: arXiv
Year: 2016
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: The inherent inflexibility and incompleteness of commonsense knowledge bases (KB) has limited their usefulness. We describe a system called Displacer for performing KB queries extended with the analogical capabilities of the word2vec distributional semantic vector space (DSVS). This allows the system to answer queries with information which was not contained in the original KB in any form. By performing analogous queries on semantically related terms and mapping their answers back into the context of the original query using displacement vectors, we are able to give approximate answers to many questions which, if posed to the KB alone, would return no results. We also show how the hand-curated knowledge in a KB can be used to increase the accuracy of a DSVS in solving analogy problems. In these ways, a KB and a DSVS can make up for each other's weaknesses.
Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication
Creators: name: Li, Jinlong
name: Xu, Runsheng
name: Liu, Xinyu
name: Ma, Jin
name: Chi, Zicheng
name: Ma, Jiaqi
name: Yu, Hongkai
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Deep learning has been widely used in the perception (e.g., 3D object detection) of intelligent vehicle driving. Due to the beneficial Vehicle-to-Vehicle (V2V) communication, the deep learning based features from other agents can be shared to the ego vehicle so as to improve the perception of the ego vehicle. It is named as Cooperative Perception in the V2V research, whose algorithms have been dramatically advanced recently. However, all the existing cooperative perception algorithms assume the ideal V2V communication without considering the possible lossy shared features because of the Lossy Communication (LC) which is common in the complex real-world driving scenarios. In this paper, we first study the side effect (e.g., detection performance drop) by the lossy communication in the V2V Cooperative Perception, and then we propose a novel intermediate LC-aware feature fusion method to relieve the side effect of lossy communication by a LC-aware Repair Network (LCRN) and enhance the interaction between the ego vehicle and other vehicles by a specially designed V2V Attention Module (V2VAM) including intra-vehicle attention of ego vehicle and uncertainty-aware inter-vehicle attention. The extensive experiment on the public cooperative perception dataset OPV2V (based on digital-twin CARLA simulator) demonstrates that the proposed method is quite effective for the cooperative point cloud based 3D object detection under lossy V2V communication.
description: this paper was accepted by IEEE Transactions on Intelligent Vehicles
COVID-19 and Labour Law: Sweden
Creators: name: Johansson, Caroline
name: Selberg, Niklas
Publisher: name: Italian Labour Law e-Journal
Year: 2020
Subjects: Covid-19; Labour Law; Furlough; Unemployment benefits; Precarious workers

description: The Swedish response to Covid-19 has been to implement policies on social distancing and a decrease in public activity, while refraining from a lockdown and the closing businesses and public services. To counteract the disastrous economic effects for workers, changes have been implemented to the unemployment and sickness benefit schemes. A re-enforced system for part time furlough has been put in place. Parents receive parental leave benefits for staying home with sick children according to the ordinary system.
description: Italian Labour Law e-Journal, Vol 13, No 1S (2020): Special Issue: Covid-19 and Labour Law. A Global Review
COVID-19 and Labour Law: Spain
Creators: name: Gómez Gordillo, Rafael
Publisher: name: Italian Labour Law e-Journal
Year: 2020
Subjects: Covid-19; Labour Law; State of alarm; Remote working; Contracts suspension; Special unemployment benefit; Prohibition of objective dismissal

description: The Spanish Government has approved a package of special measures to address the COVID-19 emergency. The measures are intended to protect employees, self-employed workers and companies. Despite the application of these provisions, the stoppage of activities has caused a significant growth in unemployment rates. Probably, in the next few weeks new complementary measures will be adopted.
description: Italian Labour Law e-Journal, Vol 13, No 1S (2020): Special Issue: Covid-19 and Labour Law. A Global Review
The deterministic excitation paradigm and the late Pleistocene glacial terminations
Creators: name: Pierini, Stefano
Publisher: name: arXiv
Year: 2022
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: A deterministic excitation (DE) paradigm is formulated, according to which the late Pleistocene glacial terminations correspond to the excitation, by the orbital forcing, of nonlinear relaxation oscillations (ROs) internal to the climate system in the absence of any stochastic parameterization. Specific threshold crossing rules parameterizing the activation of internal climate feedbacks leading to RO excitations are derived according to the DE assumption. They are then applied to an energy balance model describing the fluctuations induced by realistic orbital forcing on the glacial state. The timing of the glacial terminations thus obtained in a reference simulation is found to be in good agreement with proxy records. A sensitivity analysis insures the robustness of the timing. The potential irrelevance of noise allowing DE to hold is discussed, and a possible explanation of the 100-kyr cycle problem based on DE is outlined. In conclusion, the DE paradigm characterizes in one of the simplest possible ways the link between orbital forcing and glacial terminations implied by the Milankovitch hypothesis.
description: Submitted to Chaos (American Institute of Physics Publishing)
COVID-19 and Labour Law: Turkey
Creators: name: Kasım, Ceren
Publisher: name: Italian Labour Law e-Journal
Year: 2020
Subjects: COVID-19; Labour Law; Short-time work; Health and safety; Dismissal ban; Unpaid leave; Short-time work

description: To counteract the effects of the pandemic on working relations, Turkish labour law, for the first time ever, imposed a ban on dismissals for all services and employment contracts. On the other hand, employers have been given the right to put their employees fully or partially on unpaid leave. Employers have been given the opportunity to apply for a short-time work fund, and the conditions for benefitting from this fund have been eased. Collective bargaining periods, periods for collective labour agreements and the resolution of collective labour disputes, and strike and lockout periods have been extended.
description: Italian Labour Law e-Journal, Vol 13, No 1S (2020): Special Issue: Covid-19 and Labour Law. A Global Review
COVID-19 and Labour Law: United Kingdom
Creators: name: Novitz, Tonia
Publisher: name: Italian Labour Law e-Journal
Year: 2020
Subjects: Covid-19; Labour Law; Statutory sick pay; Unemployment benefits; Job retention scheme; Health and Safety; Gender-related issues

description: The UK Government provided a tardy response to the coronavirus pandemic, whichwould seem to have led to widespread community transmission and a high death toll.The measures taken in relation to the labour market were disappointing, being predominantly concerned with protecting business, while limited assistance was provided to the most vulnerable, precarious workers. Jobs have been preserved by such measures, but it is unclear what will happen as the Government schemes are phased out. Crucial issues relating to health and safety at work have been downplayed during the crisis, racial concerns have emerged and gender-related inequalities are being given little attention by the Government. The Trades Union Congress (TUC) has engaged with the Government on policy matters, resulting in some significant alterations to measures taken. Unions have also been prominent in discussions regarding the terms of return to work. This report was originally submitted on 10 April and has now been updated, being accurate up to 7 June 2020.
description: Italian Labour Law e-Journal, Vol 13, No 1S (2020): Special Issue: Covid-19 and Labour Law. A Global Review
Planning Tools for the Sturgeon River Watershed
Creators: ParioPlan
Publisher: name: University of Alberta Library
Year: 2019

This report focuses on planning tools for the participating municipalities that form the Sturgeon River Watershed Alliance (SRWA). The SRWA is made of nine participating municipalities (Parkland County, Lac St. Anne County, Sturgeon County, City of Spruce Grove, City of St. Albert, City of Edmonton, Town of Onoway, Town of Stony Plain, Town of Bon Accord, Town of Gibbons, and Town of Morinville). These municipalities form a voluntary partnership group committed to protecting the Sturgeon River Watershed. (As cited on https://www.nswa.ab.ca/)
Guppies Prefer to Follow Large (Robot) Leaders Irrespective of Own Size
Creators: name: Bierbach, David
name: Mönck, Hauke J.
name: Lukas, Juliane
name: Habedank, Marie
name: Romanczuk, Pawel
name: Landgraf, Tim
name: Krause, Jens
Publisher: name: Humboldt-Universität zu Berlin
Year: 2020
Subjects: subject: biomimetic robots
subject: Poecilia reticulata
subject: leadership
subject: body size
subject: robotic fish
subject: 570 Biowissenschaften; Biologie

description: Body size is often assumed to determine how successfully an individual can lead others with larger individuals being better leaders than smaller ones. But even if larger individuals are more readily followed, body size often correlates with specific behavioral patterns and it is thus unclear whether larger individuals are more often followed than smaller ones because of their size or because they behave in a certain way. To control for behavioral differences among differentially-sized leaders, we used biomimetic robotic fish (Robofish) of different sizes. Live guppies (Poecilia reticulata) are known to interact with Robofish in a similar way as with live conspecifics. Consequently, Robofish may serve as a conspecific-like leader that provides standardized behaviors irrespective of its size. We asked whether larger Robofish leaders are preferentially followed and whether the preferences of followers depend on own body size or risk-taking behavior (“boldness”). We found that live female guppies followed larger Robofish leaders in closer proximity than smaller ones and this pattern was independent of the followers’ own body size as well as risk-taking behavior. Our study shows a “bigger is better” pattern in leadership that is independent of behavioral differences among differentially-sized leaders, followers’ own size and risk-taking behavior.
Rossby-Haurwitz wave in a rotating bubble-shaped Bose-Einstein condensate
Creators: name: Saito, Hiroki
name: Hayashi, Masazumi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: A Rossby-Haurwitz (RH) wave is an excitation mode of a fluid on a rotating spherical surface, which propagates westward in the rotating frame of reference. Motivated by the recent realization of the shell-shaped Bose-Einstein condensate in microgravity, we investigate the RH wave in a superfluid rotating on a spherical-surface geometry. We employ the point-vortex model and the three-dimensional Gross-Pitaevskii equation, and numerically demonstrate that RH waves can be observed in the system of a superfluid with quantized vortices.
description: 7 pages, 5 figures, 4 movies
Effect of Energy Band Gap in Graphene on Negative Refraction through the Veselago Lens and Electron Conductance
Creators: name: Dahal, Dipendra
name: Gumbs, Godfrey
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: A remarkable property of intrinsic graphene is that upon doping, electrons and holes travel through the monolayer thick material with constant velocity which does not depend on energy up to about $0.3$ eV (Dirac fermions), as though the electrons and holes are massless particles and antiparticles which move at the Fermi velocity $v_F$. Consequently, there is Klein tunneling at a $p-n$ junction, in which there is no backscattering at normal incidence of massless Dirac fermions. However, this process yielding perfect transmission at normal incidence is expected to be affected when the group velocity of the charge carriers is energy dependent and there is non-zero effective mass for the target particle. We investigate how away from normal incidence the combined effect of incident electron energy $ε$ and band gap parameter $Δ$ can determine whether a $p-n$ junction would allow focusing of an electron beam by behaving like a Veselago lens with negative refractive index. We demonstrate that there is a specific region in $ε-Δ$ space where the index of refraction is negative, i.e., where monolayer graphene behaves as a metamaterial. Outside this region, the refractive index may be positive or there may be no refraction at all. We compute the ballistic conductance across a $p-n$ junction as a function of $Δ$ and $ε$ and compare our results with those for a single electrostatic potential barrier and multiple barriers.
description: 15 pages and 8 figures
Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval
Creators: name: Tran, Vu
name: Nguyen, Minh Le
name: Tojo, Satoshi
name: Satoh, Ken
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: We present our method for tackling a legal case retrieval task by introducing our method of encoding documents by summarizing them into continuous vector space via our phrase scoring framework utilizing deep neural networks. On the other hand, we explore the benefits from combining lexical features and latent features generated with neural networks. Our experiments show that lexical features and latent features generated with neural networks complement each other to improve the retrieval system performance. Furthermore, our experimental results suggest the importance of case summarization in different aspects: using provided summaries and performing encoded summarization. Our approach achieved F1 of 65.6% and 57.6% on the experimental datasets of legal case retrieval tasks.
description: Published 2020-01-25 in AI and Law. arXiv admin note: text overlap with arXiv:2009.14083
Ranking Competitors Using Degree-Neutralized Random Walks
Creators: name: Shin, Seungkyu
name: Ahnert, Sebastian E.
name: Park, Juyong
Publisher: name: arXiv
Year: 2016
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Social and Information Networks (cs.SI)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Competition is ubiquitous in many complex biological, social, and technological systems, playing an integral role in the evolutionary dynamics of the systems. It is often useful to determine the dominance hierarchy or the rankings of the components of the system that compete for survival and success based on the outcomes of the competitions between them. Here we propose a ranking method based on the random walk on the network representing the competitors as nodes and competitions as directed edges with asymmetric weights. We use the edge weights and node degrees to define the gradient on each edge that guides the random walker towards the weaker (or the stronger) node, which enables us to interpret the steady-state occupancy as the measure of the node's weakness (or strength) that is free of unwarranted degree-induced bias. We apply our method to two real-world competition networks and explore the issues of ranking stabilization and prediction accuracy, finding that our method outperforms other methods including the baseline win--loss differential method in sparse networks.
description: 5 figures in PLoS ONE (2014)
DOC, an expert system for the diagnosis of cardiac defects in neonates
Creators: name: Parr, Anne.
Publisher: name: Monash University
Year: 2022

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
https://emotiontypology.com/
Creators: name: Fokkinga, S.F.
name: Desmet, P.M.A.
Publisher: name: Zenodo
Year: 2022
Subjects: Online Emotion Typology

description: Emotion Typology
 The emotion typology is a systematic classification of emotions according to their differences and similarities. It is a resource for emotional granularity – its goal is to inspire you with rich information on the nuances of emotions and encourage you to explore these nuances in your own work or life. The typology can be used by anyone interested in nuanced information on emotion: a scientist, a student, a coach, or anyone else who is interested in human emotion. The emotion typology is an open-access online database that provides detailed information on positive and negative emotions. It includes 60 emotions, of which 24 are positive and 36 are negative. For each emotion, the database provides the following information: formal definition explanation of causes and responses three clips from popular movies expressing that emotion typical verbal expressions cartoon mini-story (currently available for negative emotions only) comparisons with similar emotions (currently available for negative emotions only) references to scientific sources for further reading
description: get access here: https://emotiontypology.com/
description: {"references": ["Fokkinga, S.F., & Desmet, P.M.A. (2022). Emotion Typology. https://emotiontypology.com/"]}
Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography
Creators: name: Shanmugam, Siva
name: Kalyani, Sheetal
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Quantum state tomography aims to estimate the state of a quantum mechanical system which is described by a trace one, Hermitian positive semidefinite complex matrix, given a set of measurements of the state. Existing works focus on estimating the density matrix that represents the state, using a compressive sensing approach, with only fewer measurements than that required for a tomographically complete set, with the assumption that the true state has a low rank. One very popular method to estimate the state is the use of the Singular Value Thresholding (SVT) algorithm. In this work, we present a machine learning approach to estimate the quantum state of n-qubit systems by unrolling the iterations of SVT which we call Learned Quantum State Tomography (LQST). As merely unrolling SVT may not ensure that the output of the network meets the constraints required for a quantum state, we design and train a custom neural network whose architecture is inspired from the iterations of SVT with additional layers to meet the required constraints. We show that our proposed LQST with very few layers reconstructs the density matrix with much better fidelity than the SVT algorithm which takes many hundreds of iterations to converge. We also demonstrate the reconstruction of the quantum Bell state from an informationally incomplete set of noisy measurements.
description: A preliminary version of this paper, [1] is uploaded to arXiv which is not tailored to quantum state estimation. The paper [1] deals with the estimation of a general low-rank real matrix whereas the current paper is tailored for estimating the quantum state of n-qubit systems and the current paper is applied to estimating the Bell state from its noisy measurements. [1] arXiv:2105.06934
Effects of Nb Doping on the Charge-Density Wave and Electronic Correlations in the Kagome Metal Cs(V$_{1-x}$Nb$_{x}$)$_{3}$Sb$_{5}$
Creators: name: Zhou, Xiaoxiang
name: Li, Yongkai
name: Liu, Zhe
name: Hao, Jiahao
name: Dai, Yaomin
name: Wang, Zhiwei
name: Yao, Yugui
name: Wen, Hai-Hu
Publisher: name: arXiv
Year: 2023
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The transport and optical properties of the Nb-doped Cs(V$_{1-x}$Nb$_{x}$)$_{3}$Sb$_{5}$ with x = 0.03 and 0.07 have been investigated and compared with those of the undoped CsV$_{3}$Sb$_{5}$. Upon Nb doping, the charge-density wave (CDW) transition temperature $T_{\text{CDW}}$ is suppressed, and the superconducting temperature $T_{c}$ rises. The residual resistivity ratio decreases with Nb doping, suggesting an increase of disorder. For all compounds, the optical conductivity in the pristine phase reveals two Drude components (D1 and D2). The substitution of Nb causes an increase of D1 alongside a reduction of D2 in weight, which implies a change of the Fermi surface. The total Drude weight is reduced with increasing Nb content, signifying an enhancement of electronic correlations. Below $T_{\text{CDW}}$, while the optical conductivity clearly manifests the CDW gap in all materials, the gapped portion of the Fermi surface shrinks as the Nb content grows. A comprehensive analysis indicates that the change of the Fermi surface, the enhancement of electronic correlations, the shrinkage of the removed Fermi surface by the CDW gap, and the increase of disorder may all have a considerable impact on the interplay between the CDW and superconductivity in Cs(V$_{1-x}$Nb$_{x}$)$_{3}$Sb$_{5}$.
description: 7 pages, 3 figures
Hyperspectral Image Denoising via Self-Modulating Convolutional Neural Networks
Creators: name: Torun, Orhan
name: Yuksel, Seniha Esen
name: Erdem, Erkut
name: Imamoglu, Nevrez
name: Erdem, Aykut
Publisher: name: arXiv
Year: 2023
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Compared to natural images, hyperspectral images (HSIs) consist of a large number of bands, with each band capturing different spectral information from a certain wavelength, even some beyond the visible spectrum. These characteristics of HSIs make them highly effective for remote sensing applications. That said, the existing hyperspectral imaging devices introduce severe degradation in HSIs. Hence, hyperspectral image denoising has attracted lots of attention by the community lately. While recent deep HSI denoising methods have provided effective solutions, their performance under real-life complex noise remains suboptimal, as they lack adaptability to new data. To overcome these limitations, in our work, we introduce a self-modulating convolutional neural network which we refer to as SM-CNN, which utilizes correlated spectral and spatial information. At the core of the model lies a novel block, which we call spectral self-modulating residual block (SSMRB), that allows the network to transform the features in an adaptive manner based on the adjacent spectral data, enhancing the network's ability to handle complex noise. In particular, the introduction of SSMRB transforms our denoising network into a dynamic network that adapts its predicted features while denoising every input HSI with respect to its spatio-spectral characteristics. Experimental analysis on both synthetic and real data shows that the proposed SM-CNN outperforms other state-of-the-art HSI denoising methods both quantitatively and qualitatively on public benchmark datasets.
Expert systems as an aid to superannuation planning
Creators: name: Hiap, Tusey Mei.
Publisher: name: Monash University
Year: 2022

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Graphenes flakes under controlled biaxial deformation
Creators: name: Androulidakis, Charalampos
name: Koukaras, Emmanuel N.
name: Parthenios, John
name: Kalosakas, George
name: Papagelis, Konstantinos
name: Galiotis, Costas
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Thin membranes, such as monolayer graphene of monoatomic thickness, are bound to exhibit lateral buckling under uniaxial tensile loading that impairs its mechanical behaviour. In this work, we have developed an experimental device to subject 2D materials to controlled equibiaxial strain on supported beams that can be flexed up or down to subject the material to either compression or tension, respectively. Using strain gauges in tandem with Raman spectroscopy measurements, we monitor the G and 2D phonon properties of graphene under biaxial strain and thus extract important information about the uptake of stress under these conditions. The experimental shift over strain for the G and 2D Raman peaks were found to be in the range of 62.3 \pm 5 cm^-1/%, and 148.2 \pm 6 cm^-1/%, respectively, for monolayer but also bilayer graphenes. The corresponding Gruneisen parameters for the G and 2D peaks were found to be between 1.97 \pm 0.15 and 2.86 \pm 0.12, respectively. These values agree reasonable well with those obtained from small-strain bubble-type experiments. The results presented are also backed up by classical and ab initio molecular dynamics simulations and excellent agreement of Γ-E2g shifts with strains and the Gruneisen parameter was observed.
Focusability in the multi-pump Raman amplification of short laser pulses
Creators: name: Lezhnin, K. V.
name: Qu, K.
name: Fisch, N. J.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Spatially combining multiple strong laser beams is a promising concept for achieving ultrahigh laser intensities. Proof-of-principle experiments have been conducted at the National Ignition Facility to report a combination of up to twenty pulses with high energy conversion efficiency. However, the combination process might damage the seed focusability due to mismatch of the seed and pump wavefronts. Here, we investigate the effect of the finite pump beam size on the focusability of the seed pulse. We propose an approach to retain and even improve the seed focusability by specifically arranging multiple pump beams. The results are demonstrated by numerical solution of coupled nonlinear Schrödinger equations.
description: 11 pages, 10 figures
Teaching and learning in the age of artificial intelligence
Creators: name: Romero, Margarida
name: Heiser, Laurent
name: Lepage, Alexandre
name: Lepage, Alexandre
name: Gagnebien, Anne
name: Bonjour, Audrey
name: Lagarrigue, Aurélie
name: Palaude, Axel
name: Boulord, Caroline
name: Gagneur, Charles-Antoine
name: Mercier, Chloé
name: Caucheteux, Christelle
name: Guidoni-Stoltz, Dominique
name: Tressols, Florence
name: Alexandre, Frédéric
name: Céci, Jean-François
name: Metral, Jean-François
name: Camponovo, Jérémy
name: Henry, Julie
name: Fouché, Laurent
name: Heiser, Laurent
name: Hodgkins, Lianne-Blue
name: Romero, Margarida
name: Comte, Marie-Hélène
name: Durampart, Michel
name: Corieri, Patricia
name: Olry, Paul
name: Reboul, Pauline
name: Bonfils, Philippe
name: Amor, Sami Ben
name: Collin, Simon
name: Ciavaldini-Cartaut, Solange
name: Viéville, Thierry
name: Batifol, Victoire
name: Borgne, Yann-Aël Le
Publisher: name: arXiv
Year: 2023
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: As part of the Digital Working Group (GTnum) #Scol_IA "Renewal of digital practices and creative uses of digital and AI" we are pleased to present the white paper "Teaching and learning in the era of Artificial Intelligence, Acculturation, integration and creative uses of AI in education". The white paper edited by Margarida Romero, Laurent Heiser and Alexandre Lepage aims to provide the various educational actors with a diversified perspective both on the issues of acculturation and training in AI and on the resources and feedback from the various research teams and organisations. of scientific culture in the French-speaking countries. A multidisciplinary approach makes it possible to consider the perspectives of researchers in computer science as well as those of education and training sciences, information and communication sciences and the expertise of teaching professionals. and scientific mediation.
description: in French language
Proposed Site-Specific Water Quality Objectives for the Mainstem of the North Saskatchewan River
Creators: North Saskatchewan Watershed Alliance (NSWA)
Publisher: name: University of Alberta Library
Year: 2010

This report represents an initial step in the process of setting specific water quality objectives. It is limited to a basic set of quality indicators and only to specific sites along the river’s mainstem. Future work could address a wider range of indicators and include more river sites, including key tributaries. The broadly‐based CCME, PPWB and AENV guideline values were reviewed for each water quality indicator to identify concentration limits that would protect the most sensitive water use known for selected sites on the NSR. Current measured concentrations for each indicator, based on statistical analysis of the last 20 years of data, were then compared to these values. (As cited in overview.)
Morphisms on infinite alphabets, countable states automata and regular sequences
Creators: name: Zhang, Jie-Meng
name: Chen, Jin
name: Guo, Yingjun
name: Wen, Zhixiong
Publisher: name: arXiv
Year: 2016
Subjects: subject: Formal Languages and Automata Theory (cs.FL)
subject: FOS: Computer and information sciences
subject: 11B85

description: In this paper, we prove that a class of regular sequences can be viewed as projections of fixed points of uniform morphisms on a countable alphabet, and also can be generated by countable states automata. Moreover, we prove that the regularity of some regular sequences is invariant under some codings.
description: 10 pages
Salient Object Detection in Optical Remote Sensing Images Driven by Transformer
Creators: name: Li, Gongyang
name: Bai, Zhen
name: Liu, Zhi
name: Zhang, Xinpeng
name: Ling, Haibin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Existing methods for Salient Object Detection in Optical Remote Sensing Images (ORSI-SOD) mainly adopt Convolutional Neural Networks (CNNs) as the backbone, such as VGG and ResNet. Since CNNs can only extract features within certain receptive fields, most ORSI-SOD methods generally follow the local-to-contextual paradigm. In this paper, we propose a novel Global Extraction Local Exploration Network (GeleNet) for ORSI-SOD following the global-to-local paradigm. Specifically, GeleNet first adopts a transformer backbone to generate four-level feature embeddings with global long-range dependencies. Then, GeleNet employs a Direction-aware Shuffle Weighted Spatial Attention Module (D-SWSAM) and its simplified version (SWSAM) to enhance local interactions, and a Knowledge Transfer Module (KTM) to further enhance cross-level contextual interactions. D-SWSAM comprehensively perceives the orientation information in the lowest-level features through directional convolutions to adapt to various orientations of salient objects in ORSIs, and effectively enhances the details of salient objects with an improved attention mechanism. SWSAM discards the direction-aware part of D-SWSAM to focus on localizing salient objects in the highest-level features. KTM models the contextual correlation knowledge of two middle-level features of different scales based on the self-attention mechanism, and transfers the knowledge to the raw features to generate more discriminative features. Finally, a saliency predictor is used to generate the saliency map based on the outputs of the above three modules. Extensive experiments on three public datasets demonstrate that the proposed GeleNet outperforms relevant state-of-the-art methods. The code and results of our method are available at https://github.com/MathLee/GeleNet.
description: 13 pages, 6 figures, Accepted by IEEE Transactions on Image Processing 2023
Multi-Wavelength Polarimetry and Spectral Study of M87 Jet During 2002-2008
Creators: name: Avachat, Sayali S.
name: Perlman, Eric S.
name: Adams, Steven C.
name: Cara, Mihai
name: Owen, Frazer
name: Sparks, William B.
name: Georganopoulos, Markos
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We present a multi-wavelength polarimetric and spectral study of M87 jet obtained at sub- arcsecond resolution between 2002 and 2008. The observations include multi-band archival VLA polarimetry data sets along with the HST imaging polarimetry. These observations have better angular resolution than previous work by factors of 2-3 and in addition, allow us to explore the time domain. These observations envelope the huge flare in HST-1 located at 0."86 from the nucleus (Cheung et al. 2007; Harris et al. 2009; Madrid 2009; Perlman et al. 2011). The increased resolution enables us to view more structure in each knot, showing several resolved sub-components. We also see apparent helical structure in the polarization vectors in several knots, with polarization vectors turning either clockwise or counterclockwise near the flux maxima in various places as well as show filamentary undulations. Some of these characteristics are correlated with flux and polarization maxima while others are not. We also examine the total flux and fractional polarization and look for changes in both radio and optical since the observations of Perlman et al. (1999) and test them against various models based on shocks and instabilities in the jet. Our results are broadly consistent with previous spine-sheath models and recollimation shock models, however, they require additional combinations of features to explain the observed complexity, e.g. shearing of magnetic field lines near the jet surface and compression of the toroidal component near shocks. In particular, in many regions we find apparently helical features both in total flux and polarization. We discuss the physical interpretation of these features.
description: Accepted for publication in the Astrophysical Journal
Pulsar profiles from a graph perspective
Creators: name: Vohl, Dany
Publisher: name: Zenodo
Year: 2021
Subjects: Pulsar
Graph theory

description: The full Square Kilometer Array is expected to increase the population of currently known pulsars (~2,900) by more than 10-fold, a large fraction of which should already be found during Phase I. It is therefore timely to research and develop automated methods for knowledge extraction that require little to no human intervention. The integrated pulse profile of a radio pulsar—composed of one or more components distributed over the rotational phase—represents one of its defining characteristics. The pulsar profile at a given observing frequency is generally stable over decades, and often evolves with frequency: a key to study the structure of its radio emitting magnetosphere. Historically, efforts to classify and interpret pulsar profile morphology were performed to a large extent by eye, with recent examples guided by supervised methods. Conversely, unsupervised methods have the potential to unravel faint features and possibly unknown scaling and morphological relations between different pulsars. In this talk, I explore a set of pulsar profiles by applying principles of graph theory. After introducing context and method, I will discuss analysis results and their potential physical implications. I will also introduce advanced visualisations specifically designed to investigate the graph and its components.
description: Invited presentation, European Astronomical Society Annual Meeting (formerly known as EWASS), Special session 32b: Machine learning and visualisation in data intensive era.
Resonant contributions to oscillatory phenomena under conditions of magnetic breakdown during reconstructions of electron dynamics on the Fermi surface
Creators: name: Maltsev, A. Ya.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We consider here special closed electron trajectories that arise during reconstructions of electron dynamics on the Fermi surface in the presence of strong magnetic fields, as well as the phenomenon of intraband magnetic breakdown that occurs on such trajectories. We consider cases where the electronic spectrum arising in such a situation corresponds to the resonant contribution to quantum oscillations. In the paper, all cases where this occurs are singled out, and the possible influence of the appearance of the Berry phase and other effects on the described phenomena is also considered.
description: 9 pages, 12 figures, revtex
Hysteretic Faraday Waves
Creators: name: Périnet, Nicolas
name: Falcón, Claudio
name: Chergui, Jalel
name: Juric, Damir
name: Shin, Seungwon
Publisher: name: arXiv
Year: 2016
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: We report on the numerical and theoretical study of the subcritical bifurcation of parametrically amplified waves appearing at the interface between two immiscible incompressible fluids when the layer of the lower fluid is very shallow. As a critical control parameter is surpassed, small amplitude surface waves bifurcate towards highly nonlinear ones, with twice their amplitude. We propose a simple phenomenological model which can describe the observed bifurcation. We relate this hysteresis with the change of shear stress using a simple stress balance, in agreement with numerical results.
description: 5 pages, 4 figures. Submitted to Physical Review E
CAstelet in Virtual reality for shadOw AVatars (CAVOAV)
Creators: name: Gagneré, Georges
name: Ternova, Anastasiia
Publisher: name: arXiv
Year: 2023
Subjects: subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences

description: After an overview of the use of digital shadows in computing science research projects with cultural and social impacts and a focus on recent researches and insights on virtual theaters, this paper introduces a research mixing the manipulation of shadow avatars and the building of a virtual theater setup inspired by traditional shadow theater (or ``castelet'' in french) in a mixed reality environment. It describes the virtual 3D setup, the nature of the shadow avatars and the issues of directing believable interactions between virtual avatars and physical performers on stage. Two modalities of shadow avatars direction are exposed. Some results of the research are illustrated in two use cases: the development of theatrical creativity in mixed reality through pedagogical workshops; and an artistic achievement in ''The Shadow'' performance, after H. C. Andersen.
description: 22nd ConVRgence Virtual Reality International Conference (VRIC), Simon Richir, Apr 2020, Laval, France
Practical Program Repair via Preference-based Ensemble Strategy
Creators: name: Zhong, Wenkang
name: Li, Chuanyi
name: Liu, Kui
name: Xu, Tongtong
name: Bissyandé, Tegawendé F.
name: Ge, Jidong
name: Luo, Bin
name: Ng, Vincent
Publisher: name: arXiv
Year: 2023
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: To date, over 40 Automated Program Repair (APR) tools have been designed with varying bug-fixing strategies, which have been demonstrated to have complementary performance in terms of being effective for different bug classes. Intuitively, it should be feasible to improve the overall bug-fixing performance of APR via assembling existing tools. Unfortunately, simply invoking all available APR tools for a given bug can result in unacceptable costs on APR execution as well as on patch validation (via expensive testing). Therefore, while assembling existing tools is appealing, it requires an efficient strategy to reconcile the need to fix more bugs and the requirements for practicality. In light of this problem, we propose a Preference-based Ensemble Program Repair framework (P-EPR), which seeks to effectively rank APR tools for repairing different bugs. P-EPR is the first non-learning-based APR ensemble method that is novel in its exploitation of repair patterns as a major source of knowledge for ranking APR tools and its reliance on a dynamic update strategy that enables it to immediately exploit and benefit from newly derived repair results. Experimental results show that P-EPR outperforms existing strategies significantly both in flexibility and effectiveness.
description: accepted by icse2024 early
A critical analysis of DB2's support for automated integrity checking
Creators: name: Menon, Gopenathan.
Publisher: name: Monash University
Year: 2022

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
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