cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Multi-Layer Alpha Tracing
Creators: name: Brüll, Felix
name: Grosch, Thorsten
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Ray tracing
Rasterization
Visibility

description: Rendering many transparent surfaces in real-time is still an open problem. We introduce two techniques for fast transparency rendering with ray tracing hardware, one being exact and the other being approximate but of high quality. Our approximate technique is called Multi-Layer Alpha Tracing, operates in bounded memory and is up to 60% faster than naive ray traversal. It outperforms existing rasterization techniques in terms of image quality and performance while maintaining a small memory footprint. It can also be used to accelerate ray tracing of transparent objects for the reflected rays.
description: Vision, Modeling, and Visualization
description: Rendering and Modeling
description: 9
description: 17
description: Felix Brüll and Thorsten Grosch
description: CCS Concepts: Computing methodologies --> Ray tracing; Rasterization; Visibility
Structural Reconstruction And Dual Exchange Bias In Srruo3/Prmno3 Superlattice
Creators: name: Antarjami Sahoo
name: Prahallad Padhan
name: Wilfird Prellier
Publisher: name: Zenodo
Year: 2018

description: The talk presented at 29th Annual General Meeting Of Materials Research Society Of India And National Symposium On Advances In Functional And Exotic Materials.
Cosmic acceleration with bulk viscosity in modified $f(Q)$ gravity
Creators: name: Solanki, Raja
name: Pacif, S. K. J.
name: Parida, Abhishek
name: Sahoo, P. K.
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this article, we have investigated the role of bulk viscosity to study the accelerated expansion of the universe in the framework of modified $f(Q)$ gravity. The gravitational action in this modified gravity theory has the form $f(Q)$, where $Q$ denote the non-metricity scalar. In the present manuscript, we have considered a bulk viscous matter-dominated cosmological model with the bulk viscosity coefficient of the form $ξ=ξ_{0}+ξ_{1}H+ξ_{2}\left( \frac{\dot{H}}{H}+H\right) $ which is proportional to the velocity and acceleration of the expanding universe. Two sets of limiting conditions on the bulk viscous parameters $ξ_{0},$ $ξ_{1},$ $% ξ_{2}$ and model parameter $α$ arose here out of which one condition favours the present scenario of cosmic acceleration with a phase transition and corresponds to the universe with a Big Bang origin. Moreover, we have discussed the cosmological behaviour of some geometrical parameters. Then, we have obtained the best fitting values of the model parameters $ξ_{0},$ $ξ_{1},$ $ξ_{2}$ and $α$ by constraining our model with updated Hubble datasets consisting of $57$ data points and recently released Pantheon datasets consisting of $1048$ data points which show that our obtained model has good compatibility with observations. Further, we have also included the Baryon Acoustic Oscillation (BAO) datasets of six data points with the Hubble \& Pantheon datasets and obtained slightly different values of the model parameters. Finally, we have analyzed our model with the statefinder diagnostic analysis and found some interesting results and are discussed in details.
description: Physics of Dark Universe published version
Matricaria discoidea DC.
Creators: name: Info Flora
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Asterales
Asteraceae
Matricaria
Matricaria discoidea

description: Matricaria discoidea DC.
Strahlenlose Kamille
Art ISFS: 254100 Checklist: 1028430 Asteraceae Matricaria Matricaria discoidea DC.
Bestimmungsschlüssel
Zusammenfassung
Artbeschreibung (nach Lauber & al. 2018): Ähnlich wie M. chamomilla, aber Kopfdurchmesser nur 0,5- 1 cm, ohne Zungenblüten, Röhrenblüten grünlich, 4 zähnig (bei M. chamomilla 5 zähnig).
Blütezeit (nach Lauber & al. 2018): 5-9
Standort und Verbreitung in der Schweiz (nach Lauber & al. 2018): Äcker, Ödland, Wegränder / kollin-subalpin / CH
Verbreitung global (nach Lauber & al. 2018): Ursprünglich ostasiatisch-nordamerikanisch
Ökologische Zeigerwerte (nach Landolt & al. 2010) 3w + 44+43 + 3.k-t.2n=18
Ökologie
Lebensform Monokarper Hemikryptophyt, Therophyt
Lebensraum Lebensraumnach Delarze & al. 2015
7.1.2 - Trockene Trittflur (Polygonion avicularis)
fett Dominante Art, welche das Aussehen des Lebensraumes mitprägt Charakterart Weniger strikt an den Lebensraum gebundene Art
Ökologische Zeigerwerte nach Landolt & al. (2010)
BodenfaktorenKlimafaktorenSalztoleranzFeuchtezahl F--Lichtzahl L--Salzzeichen--Reaktionszahl R--Temperaturzahl T--Nährstoffzahl N--Kontinentalitätszahl K--
Nomenklatur
Gültiger Name (Checklist 2017):Matricaria discoideaDC.
Volksname Deutscher Name: Strahlenlose Kamille Nom français: Matricaire odorante Nome italiano: Camomilla falsa
Übereinstimmung mit anderen Referenzwerken
RelationNomReferenzwerkeNo=Matricaria discoidea DC.Checklist 2017254100=Matricaria discoidea DC.Flora Helvetica 20012126=Matricaria discoidea DC.Flora Helvetica 20122116=Matricaria discoidea DC.Flora Helvetica 20182116=Matricaria discoidea DC.Index synonymique 1996254100=Matricaria discoidea DC.SISF/ISFS 2254100=Welten & Sutter 19821796
= Taxon stimmt mit akzeptiertem Taxon überein (Checklist 2017)  Taxon enthält (neben anderen) auch das akzeptierte Taxon (Checklist 2017)
Status Indigenat: Neophyt: nach der Entdeckung von Amerika in der Region aufgetreten (nach 1500)
Liste der gefährdeten Pflanzen IUCN(nach Walter & Gillett 1997): Nein
description: Published as part of Info Flora, 2021,
Portal-Based Path Perturbation for Metropolis Light Transport
Creators: name: Otsu, Hisanari
name: Hanika, Johannes
name: Dachsbacher, Carsten
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Ray tracing

description: Light transport simulation in scenes with difficult visibility still remains a challenging problem. Markov chain Monte Carlo (MCMC) rendering is often employed for such configurations. It generates a sequence of correlated light transport paths by iteratively mutating the current state, a path, to another. Since the proposed path is correlated to the current path, MCMC can explore regions of the path space, also with difficult visibility, once they have been found. To improve the efficiency of the exploration, we propose a path mutation strategy making use of the concept of portals. Portals are user-defined objects in the scene to guide the sampling of the difficult visibility, which have been employed in the context of non-MCMC rendering. Our mutation strategy perturbs a path edge around the intersection point of the edge and the portal, instead of perturbing the edge by moving a path vertex as in the ordinary path mutation strategies. This reduces the probability for the proposed path being rejected due to changes in visibility.
description: Vision, Modeling, and Visualization
description: Rendering and Modeling
description: 19
description: 27
description: Hisanari Otsu, Johannes Hanika, and Carsten Dachsbacher
description: CCS Concepts: Computing methodologies --> Ray tracing
Explicit diagrammatic solution of normalised, nondegenerate Rayleigh-Schrödinger perturbation theory
Creators: name: Pommerening, Joel C.
name: DiVincenzo, David P.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We solve the coupled recurrence relations for eigenenergies and -vectors in nondegenerate Rayleigh-Schrödinger perturbation theory under the constraint that the approximate eigenvector be normalised to $1$ in every order. The series can be expressed in terms of diagrams that were first introduced by C. Bloch [Nucl. Phys. 6, 329 (1958)] for the degenerate, unnormalised case. Normalisation increases the number of terms and introduces a nontrivial dependence on the diagrams' topology to the coefficients.
description: version essentially as published (open access), 27 pages, 8 figures
Segmenting Computer-Tomographic Scans of Ancient Clay Artefacts for Visual Analysis of Cuneiform Inscriptions
Creators: name: Rolff, Tim
name: Rautenhaus, Marc
name: Olbrich, Stephan
name: Frintrop, Simone
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Human centered computing
Scientific visualization
Computing methodologies
Image processing
Volumetric models

description: We address the automatic segmentation of computer tomographic scans of ancient clay tablets with cuneiform inscriptions enclosed inside a clay envelope. Such separation of parts of similar material properties in the scan enables domain scientists to virtually investigate the historically valuable artefacts by means of 3D visualization without physical destruction.We investigate two segmentation methods, the Priority-Flood algorithm and the Compact Watershed algorithm, the latter being modified by employing a distance metric that takes the ellipsoidal shape of the artefacts into account. Additionally, we propose a novel presegmentation method that suppresses the intensity values of the distance transform at contact points between clay envelope and tablet. We apply all methods to volumetric scans of a replicated clay tablet and analyze their performance under varying noise distributions. Evaluation by comparison to a manually segmented ground truth shows best results for the novel suppressionbased approach.
description: Vision, Modeling, and Visualization
description: Segmentation and Matching
description: 29
description: 37
description: Tim Rolff, Marc Rautenhaus, Stephan Olbrich, and Simone Frintrop
description: CCS Concepts: Human-centered computing --> Scientific visualization; Computing methodologies --> Image processing; Volumetric models
MPEC 2024-M91 : 2004 EQ95 = 2019 CK30
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
WLD: A Wavelet and Learning based Line Descriptor for Line Feature Matching
Creators: name: Lange, Manuel
name: Raisch, Claudio
name: Schilling, Andreas
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Matching
Computer vision
Neural networks
Machine learning

description: We present a machine learning based and wavelet enhanced line feature descriptor for line feature matching. Therefor we trained a neural network to compute a descriptor for a line, given preprocessed information from the image area around the line. In the preprocessing step we utilize wavelets to extract meaningful information from the image for the descriptor. This process is inspired by the human vision system. We used the Unreal Engine 4 and multiple different freely available scenes to create our training data. We conducted the evaluation on ground truth labeled images of our own and from the Middlebury Stereo Dataset. To show the advancement of our method in terms of matching quality, we compare it to the Line Band Descriptor (LBD), to the Deep Learning Based Line Descriptor (DLD), which we used as a starting point for this work, and to the Learnable Line Segment Descriptor for Visual SLAM (LLD). We publish the project on github to support the community: https://github.com/manuellange/WLD
description: Vision, Modeling, and Visualization
description: Segmentation and Matching
description: 39
description: 46
description: Manuel Lange, Claudio Raisch, and Andreas Schilling
description: CCS Concepts: Computing methodologies --> Matching; Computer vision; Neural networks; Machine learning
Supersymmetric Ground States of 3d $\mathcal{N}=4$ Gauge Theories on a Riemann Surface
Creators: name: Bullimore, Mathew
name: Ferrari, Andrea E. V.
name: Kim, Heeyeon
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: This paper studies supersymmetric ground states of 3d $\mathcal{N}=4$ supersymmetric gauge theories on a Riemann surface of genus $g$. There are two distinct spaces of supersymmetric ground states arising from the $A$ and $B$ type twists on the Riemann surface, which lead to effective supersymmetric quantum mechanics with four supercharges and supermultiplets of type $\mathcal{N}=(2,2)$ and $\mathcal{N}=(0,4)$ respectively. We compute the space of supersymmetric ground states in each case, graded by flavour and R-symmetries and in different chambers for real mass and FI parameters, for a large class of supersymmetric gauge theories. The results are formulated geometrically in terms of the Higgs branch geometry. We perform extensive checks of compatibility with the twisted index and mirror symmetry.
description: 50 pages, SciPost version
Multivariate Exploratory Data Analysis of Spatial Data to Support Geostatistical Modeling
Creators: Zhang, Haoze
Publisher: name: University of Alberta Library
Year: 2022

Geostatistical modeling takes geological data as inputs and builds statistical models for resource

prediction. Geostatistics consists of several components, including preprocessing, modeling, and

postprocessing. Exploratory data analysis (EDA) is an early step in preprocessing. It provides the

characteristics of data and helps identify erroneous or inconsistent data. In the context of geostatistics, missing data and below detection limit (BDL) data are an important anomaly to be understood

in EDA. Missing data are problematic in EDA techniques such as principal component analysis

(PCA). BDL data also cause problems when conducting cluster analysis and other analysis. Geostatistical models need to be conducted in stationary domains, so multivariate and spatial cluster

analysis is another important aspect in EDA. It separates data into smaller groups in which data

share similar features.

This thesis covers multiple aspects of geostatistical EDA. A data map examines missing data, and

it shows the number of missing data in each variable and location. A combined permutation and

Kolmogorov–Smirnov (KS) test identify if the missingness in variables is systematic. BDL data are

investigated in univariate and bivariate methods. A BDL statistics table complements histograms.

Three methods measure the spikiness of data. Bivariate analysis compares observed distributions

with expected distributions which indicate full independence of BDL occurrence. Kullback–Leibler

(KL) test quantifies the difference between the distributions, obtaining combinations of variables in

which the BDL occurrence can be dependent. This helps the understanding of the reasons for BDL

data.

The handling of BDL data in cluster analysis is addressed, including a workflow that finds the

optimal number of clusters. Tests on synthetic data examine the compatibility of the workflow with

different data transformations and clustering methods. K‑means is a suitable clustering method for

dealing with BDL spikes. Four transformations compatible with the workflow are combined with

k‑means to examine clusters in real data. The trade‑off between spatial continuity and multivariate

continuity in cluster analysis is addressed. A novel classification method is proposed to find the

optimal clustering and domain labels. Ensemble clustering labels are used as inputs for the classification. The classification algorithm takes multiple sets of clustering labels as inputs. The domains

are assigned based on clustering labels and two hyperparamters ‑ spatial weight and number of

domains. The matrix of classification results shows higher spatial weight results in more continuous domains. Flow simulation results show that the domain label assignment has an impact on

the performance of the final geostatistical models, because flow responses are highly sensitive to

spatial and multivariate continuity.
Hemoglobin A1C testing frequency among patients with type 2 diabetes within a US payer system: a retrospective observational study
Creators: name: Weiss, Tracey
name: Edwards, Alison
name: Lautsch, Dominik
name: Rajpathak, Swapnil
name: Snow, Kenneth
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Medicine
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Science Policy

description: The American Diabetes Association (ADA) guidelines recommend A1C testing schedules for patients with type 2 diabetes; however, level of real-world guideline adherence remains unclear. The current study evaluated A1C testing frequency and its association with glycemic control and cardiovascular outcomes. A retrospective study was conducted utilizing Aetna’s Enterprise Data Warehouse. Adult patients with a medical claim for type 2 diabetes in 2017 (index date) were included. Patients had continuous enrollment through December 2019 and ≥1 reported A1C measurement from 2017 to 2019. Follow-up was up to 36 months post-index date. Of the 112,572 eligible patients, 50.0% were female and median age was 70 years; 32.9% of patients with controlled baseline A1C (<8%, 64 mmol/mol) received less than the 2 tests/year recommended by the ADA, while 60.6% of patients with uncontrolled baseline A1C received less than the quarterly testing recommended by the ADA. More frequent testing was associated with age (65–75 years), uncontrolled baseline A1C and presence of comorbidities. In separate multivariable models, 2–3 A1C tests/year were associated with greater likelihood of A1C < 8% (64 mmol/mol) vs. <2 tests/year (OR = 1.07, 95% confidence interval [CI] 1.02–1.12), while >3 tests/year was associated with a modestly increased risk of cardiovascular events vs. <2 tests/year (OR = 1.08, 95% CI 1.01–1.15). A large proportion of type 2 diabetes patients were not tested per guideline recommendations. The relationship between A1C testing frequency and glycemic control was inconsistent, though there was a significant association between more frequent testing and experiencing a CV event.
Any Physical Theory of Nature Must Be Boundlessly Multipartite Nonlocal
Creators: name: Coiteux-Roy, Xavier
name: Wolfe, Elie
name: Renou, Marc-Olivier
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We introduce the class of Genuinely Local Operation and Shared Randomness (LOSR) Multipartite Nonlocal correlations, that is, correlations between N parties that cannot be obtained from unlimited shared randomness supplemented by any composition of (N-1)-shared causal Generalized-Probabilistic-Theory (GPT) resources. We then show that noisy N-partite GHZ quantum states as well as the 3-partite W quantum state can produce such correlations. This proves, if the operational predictions of quantum theory are correct, that Nature's nonlocality must be boundlessly multipartite in any causal GPT. We develop a computational method which certifies that a noisy N=3 GHZ quantum state with fidelity 85 percent satisfies this property, making an experimental demonstration of our results within reach. We motivate our definition and contrast it with preexisting notions of genuine multipartite nonlocality. This work extends a more compact parallel letter [Phys. Rev. Lett. 127, 200401 (2021)] on the same subject and provides all the required technical proofs.
description: 17 pages, 7 figures
No Bipartite-Nonlocal Causal Theory Can Explain Nature's Correlations
Creators: name: Coiteux-Roy, Xavier
name: Wolfe, Elie
name: Renou, Marc-Olivier
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We show that some tripartite quantum correlations are inexplicable by any causal theory involving bipartite nonclassical common causes and unlimited shared randomness. This constitutes a device-independent proof that Nature's nonlocality is fundamentally at least tripartite in every conceivable physical theory - no matter how exotic. To formalize this claim we are compelled to substitute Svetlichny's historical definition of genuine tripartite nonlocality with a novel theory-agnostic definition tied to the framework of Local Operations and Shared Randomness (LOSR). A companion article [PRA. 104, 052207 (2021)] generalizes these concepts to any number of parties, providing experimentally amenable device-independent inequality constraints along with quantum correlations violating them, thereby certifying that Nature's nonlocality must be boundlessly multipartite.
description: 6 pages, 2 figures
Visualization Aided Interface Reconstruction
Creators: name: Penk, Dominik
name: Müller, Jonas
name: Felfer, Peter
name: Grosso, Roberto
name: Stamminger, Marc
Publisher: name: The Eurographics Association
Year: 2020

description: Modern atom probe tomography measurements generate large point clouds of atomic locations in solids. A common analysis task in these datasets is to put the location of specific atom types in relation to crystallographic features such as the interface between two crystals (grain boundaries). In cases where these features represent surfaces, their extraction is carried out manually in most cases. In this paper we propose a method for semi automatic extraction of such two dimensional manifold and non-manifold surfaces from a given dataset. We first aid the user to filter the atom data by providing an interactive visualization of the dataset tailored towards enhancing these interfaces. Once a desired set of points representing the interface is found, we provide an automatic surface extraction method to compute an explicit parametric representation of the visualized surface. In case of non-manifold interface structures, this parametric representation is then used to calculate the intersections of the individual manifold parts of the interfaces.
description: Vision, Modeling, and Visualization
description: Interactive Visualization
description: 47
description: 55
description: Dominik Penk, Jonas Müller, Peter Felfer, Roberto Grosso, and Marc Stamminger
Electrochemical Investigation of Filiform Corrosion on Aluminum Alloys
Creators: Arango Vasquez,Daniela
Publisher: name: University of Alberta Library
Year: 2022

Filiform corrosion (FFC, also known as under-film corrosion) is commonly observed on surfaces

of coated aluminum (Al) and aluminum alloys (AA), especially in environments combining marine

and industrial atmosphere. The chemical composition of the substrate is believed to play an

important role in FFC resistance of AAs. However, there is still a lack of electrochemical studies

focusing on clarifying the FFC behaviour of commercially used Al alloys. This work aims to

investigate the FFC response of different AAs. To do so, commercially pure Al (AA1100) and

AAs such as 2024 (Cu), 3003(Mn), 5052 (Mg), 6061(Mg, Si) and AA7075(Zn) were selected as

candidate materials. The FFC behaviour of AAs was investigated using electrochemical methods.

To simulate the under-film electrolyte environment, polarisation measurements were carried in a

deaerated anolyte (5% NaCl + 0.1M AlCl3, pH=2) and an aerated catholyte (phosphate buffer

solution, pH=7), respectively. Three factors were defined, including the resistance to FFC

initiation (ΔEPR, V), the driving force for propagation (ΔEcorr, V), and the FFC kinetics of

propagation (iFFC, mA/cm2

). Results suggest that ΔEPR follows a tendency of AA 2024 (Cu) > 5052

(Mg) > AA7075 (Zn) > 3003 (Mn) >AA6061 (Mg, Si) >AA1100; ΔEcorr followed the trend AA

6061 (Mg, Si) > 7075 (Zn), 3003 (Mn) > 5052 (Mg) > 2024 (Cu), 1100 and iFFC followed the trend

7075 (Zn) > 6061 (Mg, Si) > 3003 (Mn) > 5052 (Mg) > 1100 > 2024 (Cu).

In addition, the influence of anodizing on the different substrates was evaluated using the same

electrochemical parameters described for the bare alloys. AAs were pretreated with a three-step

anodizing process: electropolishing in a 1:4 solution of HClO4:C2H5OH at 10 °C, sulfuric acid

anodizing in 100 g/L H2SO4 at 18 °C and hydrothermal sealing in boiling DI water. EC

iii

measurements showed that anodizing could effectively lower the susceptibility of AAs to FFC.

Resulting in a decrease in both, the driving force for FFC propagation (ΔEcorr) and FFC kinetics

(iFFC).

Finally, the validation of the EC results was done by an accelerated exposure test. Bare and

anodized AA disks were coated with a clear epoxy layer, scribed, and placed in an environmental

testing chamber at 80% RH at 40 ºC for 1000h. Two parameters were defined (i.e., number of

threads (N) and length of the filaments (L)), and calculated by visual examination with naked eyes

and OM. The results from this section agreed with what was found through EC methods. The FFC

susceptibility of bare samples predicted by EC measurements follows the same trend as that one

found by accelerated exposure testing. Additionally, anodizing was confirmed to drastically

increase FFC resistance on AAs, resulting in a strong decrease on N and L after 1000h of

exposition.
A Hybrid Recommender System for Recommending Smartphones to Prospective Customers
Creators: name: Biswas, Pratik K.
name: Liu, Songlin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: I.m

description: Recommender Systems are a subclass of machine learning systems that employ sophisticated information filtering strategies to reduce the search time and suggest the most relevant items to any particular user. Hybrid recommender systems combine multiple recommendation strategies in different ways to benefit from their complementary advantages. Some hybrid recommender systems have combined collaborative filtering and content-based approaches to build systems that are more robust. In this paper, we propose a hybrid recommender system, which combines Alternating Least Squares (ALS) based collaborative filtering with deep learning to enhance recommendation performance as well as overcome the limitations associated with the collaborative filtering approach, especially concerning its cold start problem. In essence, we use the outputs from ALS (collaborative filtering) to influence the recommendations from a Deep Neural Network (DNN), which combines characteristic, contextual, structural and sequential information, in a big data processing framework. We have conducted several experiments in testing the efficacy of the proposed hybrid architecture in recommending smartphones to prospective customers and compared its performance with other open-source recommenders. The results have shown that the proposed system has outperformed several existing hybrid recommender systems.
description: Expert Systems With Applications, 2022
Visualization Framework for Assisting Interface Optimization of Hybrid Component Design
Creators: name: Kretzschmar, Vanessa
name: Gillmann, Christina
name: Günther, Fabian
name: Stommel, Markus
name: Scheuermann, Gerik
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Human centered computing
Scientific visualization
Visualization design and evaluation methods

description: Reliable component design is one of structural mechanics' main objectives. Especially for lightweight constructions, hybrid parts made of a multi-material combination are used. The design process for these parts often becomes very challenging. The critical section of such hybrid parts is usually the interface layer that often builds the weakest zone. In this paper, we study a hybrid part made of metal and carbon fiber-reinforced composite, where the metal insert is coated by a thermoplastic to decrease the jump in stiffness between the two primary structural materials. To prevent stress peaks in small volumes of the part , mechanical engineers aim to design functional elements at the thermoplastic interface, to homogenize the stress distribution. The placement of such load transmitting functional elements at the thermoplastics interface has a crucial impact on the overall stability and mechanical performance of the design. Resulting from this, mechanical engineers acquire large amounts of simulations outputting multi-field datasets, to examine the impact of differently designed load transmitting elements, their number, and positioning in the interface between metal and composite. In order to assist mechanical engineers in deeper exploration of the often numerous set of simulations, a framework based on visual analytics techniques was developed in close collaboration with engineers. To match their needs, a requirement analysis was performed, and visualizations were discussed steadily. We show how the presented framework helps engineers gaining novel insights to optimize the hybrid component based on the selected load transmitting elements.
description: Vision, Modeling, and Visualization
description: Interactive Visualization
description: 57
description: 67
description: Vanessa Kretzschmar, Christina Gillmann, Fabian Günther, Markus Stommel, and Gerik Scheuermann
description: CCS Concepts: Human-centered computing --> Scientific visualization; Visualization design and evaluation methods
Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction
Creators: name: Mandal, Ratna
name: Karmakar, Prasenjit
name: Chatterjee, Soumyajit
name: Spandan, Debaleen Das
name: Pradhan, Shouvit
name: Saha, Sujoy
name: Chakraborty, Sandip
name: Nandi, Subrata
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences
subject: I.2.1; I.5.4

description: Intelligent city transportation systems are one of the core infrastructures of a smart city. The true ingenuity of such an infrastructure lies in providing the commuters with real-time information about citywide transports like public buses, allowing her to pre-plan the travel. However, providing prior information for transportation systems like public buses in real-time is inherently challenging because of the diverse nature of different stay-locations that a public bus stops. Although straightforward factors stay duration, extracted from unimodal sources like GPS, at these locations look erratic, a thorough analysis of public bus GPS trails for 720km of bus travels at the city of Durgapur, a semi-urban city in India, reveals that several other fine-grained contextual features can characterize these locations accurately. Accordingly, we develop BuStop, a system for extracting and characterizing the stay locations from multi-modal sensing using commuters' smartphones. Using this multi-modal information BuStop extracts a set of granular contextual features that allow the system to differentiate among the different stay-location types. A thorough analysis of BuStop using the collected dataset indicates that the system works with high accuracy in identifying different stay locations like regular bus stops, random ad-hoc stops, stops due to traffic congestion stops at traffic signals, and stops at sharp turns. Additionally, we also develop a proof-of-concept setup on top of BuStop to analyze the potential of the framework in predicting expected arrival time, a critical piece of information required to pre-plan travel, at any given bus stop. Subsequent analysis of the PoC framework, through simulation over the test dataset, shows that characterizing the stay-locations indeed helps make more accurate arrival time predictions with deviations less than 60s from the ground-truth arrival time.
description: 20 pages, 16 figures
Exactly solvable discrete time Birth and Death processes
Creators: name: Sasaki, Ryu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Probability (math.PR)
subject: Mathematical Physics (math-ph)
subject: Classical Analysis and ODEs (math.CA)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We present 15 explicit examples of discrete time Birth and Death processes which are exactly solvable. They are related to the hypergeometric orthogonal polynomials of Askey scheme having discrete orthogonality measures. Namely, they are the Krawtchouk, three different kinds of q-Krawtchouk, (dual, q)-Hahn, (q)-Racah, Al-Salam-Carlitz II, q-Meixner, q-Charlier, dual big q-Jacobi and dual big q-Laguerre polynomials. The birth and death rates are determined by the difference equations governing the polynomials. The stationary distributions are the normalised orthogonality measures of the polynomials. The transition probabilities are neatly expressed by the normalised polynomials and the corresponding eigenvalues. This paper is simply the discrete time versions of the known solutions of the continuous time birth and death processes.
description: 29 pages, no figure
Visualizing Sets and Changes in Membership Using Layered Set Intersection Graphs
Creators: name: Agarwal, Shivam
name: Tkachev, Gleb
name: Wermelinger, Michel
name: Beck, Fabian
Publisher: name: The Eurographics Association
Year: 2020

description: Challenges in set visualization include representing overlaps among sets, changes in their membership, and details of constituent elements. We present a visualization technique that addresses these challenges. The approach uses set intersection graphs that explicitly visualize each set intersection as a rectangular node and elements as circles inside them. We represent the graph as a layered node-link diagram using colors to indicate the sets. The layers reflect different levels of intersections, from the base sets in the lowest layer to potentially the intersection of all sets in the highest layer. We provide different perspectives to show temporal changes in set membership. Graphs for individual, two, and all timesteps are visualized in static, diff, and aggregated views. Together with linked views and filters, the technique supports the detailed exploration of dynamic set data. We demonstrate the effectiveness of the proposed approach by discussing two application examples. The submitted supplemental material contains a video showing proposed interactions in the implementation and the prototype itself.
description: Vision, Modeling, and Visualization
description: Data Transformation
description: 69
description: 78
description: Shivam Agarwal, Gleb Tkachev, Michel Wermelinger, and Fabian Beck
Interactive Generation of 1D Embeddings from 2D Multi-dimensional Data Projections
Creators: name: Ngo, Quynh Quang
name: Linsen, Lars
Publisher: name: The Eurographics Association
Year: 2020

description: Visual analysis of multi-dimensional data is commonly supported by mapping the data to a 2D embedding. When analyzing a sequence of multi-dimensional data, e.g., in case of temporal data, the usage of 1D embeddings allows for plotting the entire sequence in a 2D layout. Despite the good performance in generating 2D embeddings, 1D embeddings often exhibit a much lower quality for pattern recognition tasks. We propose to overcome the issue by involving the user to generate 1D embeddings of multi-dimensional data in a two-step procedure: We first generate a 2D embedding and then leave the task of reducing the 2D to a 1D embedding to the user. We demonstrate that an interactive generation of 1D embeddings from 2D projected views can be performed efficiently, effectively, and targeted towards an analysis task. We compare the performance of our approach against automatically generated 1D and 2D embeddings involving a user study for our interactive approach. We test the 1D approaches when being applied to time-varying multi-dimensional data.
description: Vision, Modeling, and Visualization
description: Data Transformation
description: 79
description: 87
description: Quynh Quang Ngo and Lars Linsen
New Stringy Physics beyond Quantum Mechanics from the Feynman Path Integral
Creators: name: Dolce, Donatello
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Physics (physics.gen-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: By investigating the Feynman Path Integral we prove that elementary quantum particle dynamics are directly associated to single compact (cyclic) world-line parameters, playing the role of the particles' internal clock, implicit in ordinary undulatory mechanics and indirectly observed for instance in Time Crystals. This allows us to formulate a novel purely four-dimensional stringy description of elementary particles as possible physics beyond quantum mechanics. The novelty of this approach is that quantum mechanics originates from a non-trivial compact nature of the minkowskian space-time. Our result is a further evidence in support of Elementary Cycles Theory (ECT), which in previous papers has been proven to be consistent with known physics from theoretical particle physics to condensed matter. Here we provide additional conceptual arguments in support to this novel unified scenario of quantum and relativistic physics, potentially deterministic, and fully falsifiable having no fine-tunable parameters. The first evidences of such new physics characterized by ultra-fast cyclic time dynamics will be observed by probing quantum phenomena with experimental time accuracy of the order of $10^{-21}$ $sec$. Considerations about the emergence of the arrow of time from the realm of pure, zero temperature, quantum physics governed by intrinsic time periodicity are also provided. Concerning Einstein's dilemma "God does not play dice" we conclude that, all in all, "God" would have no fun playing quantum dice.
description: Published version
Framework for vision-based robotic corner cleaning of window frames
Creators: Tzu-Jan Tung
Publisher: name: University of Alberta Library
Year: 2022

Corner cleaning is a critical step after welding of window frames to ensure aesthetic quality. Current methods to clean weld seams are limited in adaptability and quality, increasing rework, cost, and waste. This is largely attributable to the use of CNC cutting machines in combination with manual inspection and seam cleaning. Because the system relies on predefined window designs, cleaning processes are ineffective when dealing with manufacturing imperfections. However, as the blueprint of Industry 4.0 is becoming clear, the development of automation is proceeding at a rapid pace, and new technologies such as robots and sensors are playing a lead role in driving innovation within the manufacturing field. In this thesis, a vision-based robotics system is proposed that enhances adaptability to variability in weld cleaning while ensuring high quality and precision through an approach that combines robotic arms and computer vision in place of existing manual-based methods. The developed system uses edge detection to locate the window and identify its orientation, image segmentation techniques with a pre-trained Mask R-CNN model to detect the window weld seam, and a vision-guided robot manipulator to control the moving path for the robotic arm. The working process begins with the window location to obtain the rough position for the purpose of guiding the robot toward the window target, followed by image processing and detection in conjunction with instance segmentation techniques to segment the target area of the weld seam, and, finally, the generation of cleaning paths for further robot manipulation. The proposed robotic system is validated in a simulated environment as well as in a real-world scenario, with the results obtained demonstrating the effectiveness and adaptability of the proposed system.
Data Reconstruction from Colored Slice-and-Dice Treemaps
Creators: name: Henkel, Markus
name: Knauthe, Volker
name: Landesberger, Tatiana Von
name: Guthe, Stefan
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Human centered computing
Treemaps

description: Treemaps illustrate hierarchical data, such as file systems or budget structures. Colors are often used to encode additional information or to emphasize the tree structure. Given a treemap, one may want to retrieve the underlying data. However, treemap reconstruction is challenging, as the inner tree structure needs to be derived almost exclusively from leaf node rectangles. Furthermore, treemaps are well known to suffer from ambiguities, i.e., different input data may produce the same drawing. We present a novel reconstruction approach for slice-and-dice treemaps. Moreover, we evaluate the influence of five color schemes to resolve ambiguities. Our work can be used for the reproducibility of published data and for assessing ambiguities in slice-and-dice treemaps.
description: Vision, Modeling, and Visualization
description: Data Transformation
description: 89
description: 97
description: Markus Henkel, Volker Knauthe, Tatiana von Landesberger, and Stefan Guthe
description: CCS Concepts: Human-centered computing --> Treemaps
Designing predefined-time differentiators with bounded time-varying gains
Creators: name: Aldana-López, Rodrigo
name: Seeber, Richard
name: Gómez-Gutiérrez, David
name: Angulo, Marco Tulio
name: Defoort, Michael
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Systems and Control (eess.SY)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: There is an increasing interest in designing differentiators, which converge exactly before a prespecified time regardless of the initial conditions, i.e., which are fixed-time convergent with a predefined Upper Bound of their Settling Time (UBST), due to their ability to solve estimation and control problems with time constraints. However, for the class of signals with a known bound of their $(n+1)$-th time derivative, the existing design methodologies yield a very conservative UBST, or result in gains that tend to infinity at the convergence time. Here, we introduce a new methodology based on time-varying gains to design arbitrary-order exact differentiators with a predefined UBST. This UBST is a priori set as one parameter of the algorithm. Our approach guarantees that the UBST can be set arbitrarily tight, and we also provide sufficient conditions to obtain exact convergence while maintaining bounded time-varying gains. Additionally, we provide necessary and sufficient conditions such that our approach yields error dynamics with a uniformly Lyapunov stable equilibrium. Our results show how time-varying gains offer a general and flexible methodology to design algorithms with a predefined UBST.
description: This is the preprint version of the accepted manuscript with DOI: 10.1002/rnc.6315. Please cite the publisher's version. For the publisher's version and full citation details, see: https://doi.org/10.1002/rnc.6315. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions
Disparities in modifiable cancer risk factors among Canadian provinces, territories, and health regions
Creators: name: Abdel-Rahman, Omar
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Data about small area estimates of cancer risk factors are difficult to obtain in Canada. The current study aims to provide an assessment of the prevalence of different behavioral risk factors of cancer at the level of Canadian provinces/territories and sub provincial health regions/units. Canadian Community Health Survey (CCHS) datasets for 2017/2018 were reviewed and adult participants (≥ 18 years old) were included. Baseline demographic data and health behaviors (including ever-smoking, current smoking, alcohol drinking in the past 12 months, below-recommended physical activity, and obesity) were reviewed. Prevalence of each of these behaviors within different provinces/territories as well as within each health region was reviewed. Multivariable logistic regression analysis was then done to examine the association between place of residence and cancer risk factors. A total of 104,636 adult participants were included in the current analysis. For ever-smoking, the highest prevalence was noted in Nunavut (79.7%); for current smoking, the highest prevalence was noted in Nunavut (67.2%); for alcohol drinking in the past 12 months, the highest prevalence was noted in Quebec (89.3%); for below-recommended physical activity, the highest prevalence was noted in Nunavut (51.3%); for obesity, the highest prevalence was noted in Northwest territories (31.5%). Compared to individuals living within a territory, individuals living within a province were less likely to ever smoke (OR: 0.62; 95% CI: 0.54–0.71), currently smoke (OR: 0.51; 95% CI: 0.45–0.59), be obese (OR: 0.82; 95% CI: 0.71–0.95), but more likely to drink alcohol in the past 12 months (OR: 1.41; 95% CI: 1.20–1.65). There is no difference between both categories with regards to physical activity (OR: 1.02; 95% CI: 0.89–1.15). There is a general province/territory disparity in the prevalence of different modifiable cancer risk factors as well as disparity between individual provinces/health regions in Canada.
Rigorous body-order approximations of an electronic structure potential energy landscape
Creators: name: Thomas, Jack
name: Chen, Huajie
name: Ortner, Christoph
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: 65E05, 74E15, 81V45, 81V70

description: We show that the local density of states (LDOS) of a wide class of tight-binding models has a weak body-order expansion. Specifically, we prove that the resulting body-order expansion for analytic observables such as the electron density or the energy has an exponential rate of convergence both at finite Fermi-temperature as well as for insulators at zero Fermi-temperature. We discuss potential consequences of this observation for modelling the potential energy landscape, as well as for solving the electronic structure problem.
Finding Interesting Moments in Videos: Audio-visual and Unsupervised Video Highlight Detection
Creators: Badamdorj, Taivanbat
Publisher: name: University of Alberta Library
Year: 2022

Video is the dominant medium through which we consume information. Due to the sheer volume of video content, it is of great interest in the research community to develop automated ways to make this content manageable. In video highlight detection, our goal is to automatically find interesting moments in videos. This makes it much easier to browse, search, categorize, and edit large amounts of video data. In this thesis, we develop two new state-of-the-art methods for video highlight detection. We first explore the use of audio for highlight detection. This is largely unexplored territory despite audio providing useful cues for finding interesting moments. Then we develop a new unsupervised method that alleviates the need for manual annotations that tell us exactly which parts of a video are interesting. Although our main focus is on video highlight detection, our models are general and we believe that they are applicable to other tasks such as action recognition, and video classification.