cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Variability in transport microsimulations investigated for MATSim: Preliminary results
Creators: name: Horni, Andreas
name: Charypar, David
name: Axhausen, Kay W.
Publisher: name: ETH Zurich
Year: 2011
Subjects: VERKEHRSMODELLE + VERKEHRSSIMULATION (VERKEHR UND TRANSPORT)
MATHEMATICAL MODELING IN TRAFFIC AND TRANSPORTATION
MODELLRECHNUNG IN VERKEHR UND TRANSPORT
STOCHASTIC MODELS + STOCHASTIC SIMULATION (PROBABILITY THEORY)
STOCHASTISCHE MODELLE + STOCHASTISCHE SIMULATION (WAHRSCHEINLICHKEITSRECHNUNG)
TRANSPORT MODELS + TRAFFIC SIMULATION (TRANSPORTATION AND TRAFFIC)
COMPUTER APPLICATIONS IN TRAFFIC AND TRANSPORTATION
COMPUTERANWENDUNGEN IN VERKEHR UND TRANSPORT
info:eu-repo/classification/ddc/380
info:eu-repo/classification/ddc/004
Commerce, communications, transport
Data processing, computer science

description: Arbeitsberichte Verkehrs- und Raumplanung, 676
The evolution of planetesimal swarms in self-gravitating protoplanetary discs
Creators: name: Walmswell, Joe
name: Clarke, Cathie
name: Cossins, Peter
Publisher: name: arXiv
Year: 2013
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: We investigate the kinematic evolution of planetesimals in self-gravitating discs, combining Smoothed Particle Hydrodynamical (SPH) simulations of the disc gas with a gravitationally coupled population of test particle planetesimals. We find that at radii of 10s of au (which is where we expect planetesimals to be possibly formed in such discs) the planetesimals' eccentricities are rapidly pumped to values $>$ 0.1 within the timescales for which the disc is in the self-gravitating regime. The high resulting velocity dispersion and the lack of planetesimal concentration in the spiral arms means that the collision timescale is very long and that the effect of those collisions that do occur is destructive rather than leading to further planetesimal growth. We also use the SPH simulations to calibrate Monte Carlo dynamical experiments: these can be used to evolve the system over long timescales and can be compared with analytical solutions of the diffusion equation in particle angular momentum space. We find that if planetesimals are only formed in a belt at large radius then there is significant scattering of objects to small radii; nevertheless the majority of planetesimals remain at large radii. If planetesimals indeed form at early evolutionary stages, when the disc is strongly self-gravitating, then the results of this study constrain their spatial and kinematic distribution at the end of the self-gravitating phase.
description: 11 pages, 12 figures. Accepted for publication in MNRAS
Motion in a symmetric potential on the hyperbolic plane
Creators: name: Santoprete, Manuele
name: Scheurle, Jürgen
name: Walcher, Sebastian
Publisher: name: arXiv
Year: 2013
Subjects: subject: Dynamical Systems (math.DS)
subject: Mathematical Physics (math-ph)
subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 37J15 (Primary), 70H33, 70F99, 37C80, 34C14, 20G20 (Secondary)

description: We study the motion of a particle in the hyperbolic plane (embedded in Minkowski space), under the action of a potential that depends only on one variable. This problem is the analogous to the spherical pendulum in a unidirectional force field. However, for the discussion of the hyperbolic plane one has to distinguish three inequivalent cases, depending on the direction of the force field. Symmetry reduction, with respect to groups that are not neces- sarily compact or even reductive, is carried out by way of Poisson varieties and Hilbert maps. For each case the dynamics is discussed, with special attention to linear potentials.
description: 27 pages
Pairwise Feature Learning for Unseen Plant Disease Recognition
Creators: Abel Yu Hao Chai
Sue Han Lee
Fei Siang Tay
Yi Lung Then
Herv´e Go¨eau
Pierre Bonnet
Alexis Joly
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: With the advent of Deep Learning, people have begun to use it with computer vision approaches to identify plant diseases on a large scale targeting multiple crops and diseases. However, this requires a large amount of plant disease data, which is often not readily available, and the cost of acquiring disease images is high. Thus, developing a generalized model for recognizing unseen classes is very important and remains a major challenge to date. Existing methods solve the problem with general supervised recognition tasks based on the seen composition of the crop and the disease. However, ignoring the composition of unseen classes during model training can lead to a reduction in model generalisation. Therefore, in this work, we propose a new approach that leverages the visual features of crop and disease from the seen composition, using them to learn the features of unseen crop-disease composition classes. We show that our proposed method can improve the classification performance of these unseen classes and outperform the state-of-the-art in the identification of multiple crop-diseases.
title: Ανάλυση και σχεδίαση συστημάτων παραγωγής σε φαρμακοβιομηχανίες με την
χρήση του εργαλείου προσομοίωσης διακριτών γεγονότων SimEvents

Creators: name: Τσομπανιδης Βασιλειος
Publisher: name: Technical University of Crete
Year: 2018

description: Στην παρούσα διπλωματική εργασία μελετήθηκε η γραμμή παραγωγής της φαρμακοβιομηχανίας Specifar. Πραγματοποιήθηκε μοντελοποίηση της παραγωγικής διαδικασίας με χρήση του SimEvents εργαλείου του Matlab. Κατά την μοντελοποίηση κατασκευάστηκε το γενικό μοντέλο της γραμμής παραγωγής της βιομηχανίας σε συνδυασμό με όλα τα υποσυστήματα που το αποτελούν. Τα αποτελέσματα που προέκυψαν από την χρήση του μοντέλου προσομοίωσης που αναπτύχθηκε ήταν παρόμοια με τα πραγματικά.
Στη συνέχεια μελετήθηκαν δύο σενάρια που στοχεύουν στην αύξηση της παραγωγικότητας του συστήματος. Για το λόγο αυτό πραγματοποιήθηκαν οι απαραίτητες αλλαγές στο μοντέλο και ακολούθησαν νέες προσομοιώσεις. Έπειτα συγκρίνονται τα αποτελέσματα των δύο σεναρίων με σκoπό να αναδειχτεί το αποδοτικότερο.

Τέλος, προτείνονται διάφορα εναλλακτικά σενάρια για αύξηση της παραγωγικότητας της γραμμής παραγωγής καθώς και διάφορες ιδέες για την μελλοντική συνέχιση του αντικειμένου της εργασίας.
Additional file 2 of Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019
Creators: name: Subramanian, Anuradhaa
name: Azcoaga-Lorenzo, Amaya
name: Anand, Astha
name: Phillips, Katherine
name: Lee, Siang Ing
name: Cockburn, Neil
name: Fagbamigbe, Adeniyi Francis
name: Damase-Michel, Christine
name: Yau, Christopher
name: McCowan, Colin
name: O’Reilly, Dermot
name: Santorelli, Gillian
name: Hope, Holly
name: Kennedy, Jonathan I.
name: Abel, Kathryn M.
name: Eastwood, Kelly-Ann
name: Locock, Louise
name: Black, Mairead
name: Loane, Maria
name: Moss, Ngawai
name: Plachcinski, Rachel
name: Thangaratinam, Shakila
name: Brophy, Sinead
name: Agrawal, Utkarsh
name: Vowles, Zoe
name: Brocklehurst, Peter
name: Dolk, Helen
name: Nelson-Piercy, Catherine
name: Nirantharakumar, Krishnarajah
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 2: Figure S2. Polypharmacy prevalence according to a range of definitions (2 to 11 or more medications) during (A) first trimester and (B) the entire pregnancy, among pregnancies of all eligible women and pregnancies of women with multimorbidity, with or without complete follow up (Sensitivity Analysis).
COVARIANCE-AWARE FEATURE ALIGNMENT WITH PRE-COMPUTED SOURCE STATISTICS FOR TEST-TIME ADAPTATION TO MULTIPLE IMAGE CORRUPTIONS
Creators: Kazuki Adachi
Shin'ya Yamaguchi
Atsutoshi Kumagai
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: Real-world image recognition systems often face corrupted input images, which cause distribution shifts and degrade the performance of models. These systems often use a single prediction model in a central server and process images sent from various environments, such as cameras distributed in cities or cars. Such single models face images corrupted in heterogeneous ways in test time. Thus, they require to instantly adapt to the multiple corruptions during testing rather than being re-trained at a high cost. Test-time adaptation (TTA), which aims to adapt models without accessing the training dataset, is one of the settings that can address this problem. Existing TTA methods indeed work well on a single corruption. However, the adaptation ability is limited when multiple types of corruption occur, which is more realistic. We hypothesize this is because the distribution shift is more complicated, and the adaptation becomes more difficult in case of multiple corruptions. In fact, we experimentally found that a larger distribution gap remains after TTA. To address the distribution gap during testing, we propose a novel TTA method named Covariance-Aware Feature alignment (CAFe). We empirically show that CAFe outperforms prior TTA methods on image corruptions, including multiple types of corruptions.
Constraints on dark photons from $π^0$ decays
Creators: name: Gninenko, S. N.
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Several models of dark matter suggest the existence of hidden sectors consisting of SU(3)_C x SU(2)_L x U(1)_Y singlet fields. The interaction between the ordinary and hidden sectors could be transmitted by new Abelian U'(1) gauge bosons A' (dark or hidden photons) mixing with ordinary photons. If such A's have masses below the π^0 meson mass, they would be produced through γ- A' mixing in the π^0 ->2γ- decays and be observed via their decays A' -> e+e- in a detector. Using bounds from the SINDRUM experiment at the Paul Scherrer Institute that searched for an excess of e+e- pairs in π^- p interactions at rest, the area excluding the γ- A' mixing ε> 10^{-3} for the A' mass region 25 < M_{A'} < 120 MeV is derived.
description: 4 pages, 2 figures, to appear in PRD
title: Application of finite element method for estimation of acoustic parameters
title: Χρήση της μεθόδου των πεπερασμένων στοιχείων για τον υπολογισμό ακουστικών μεγεθών

Creators: name: Παπαδακης Νικολαος
Publisher: name: Technical University of Crete
Year: 2017

description: In the field of computational acoustics, the calculation of the impulse response of
a space is of vital importance. Acoustic parameters, frequency response and the
cumulative spectral decay can directly be extracted from the impulse response.
This thesis contributes on the development and utilization of a Finite Element
Method in the Time Domain for estimating the impulse response and acoustic
parameters of a room.
A methodology is developed for resolving the most crucial elements involving
the Finite Element Method in the Time Domain. In order to develop an accurate
method, we considered different modeling parameters (source selection,
modeling of walls and acoustic material) and different parameters for the
numerical scheme (finite element meshes, time stepping method, time stepping
scales).
For this purpose the impulse responses and the acoustic parameters of a
reverberant space were computed and then compared with the measured ones.
The results showed that the Time Domain Finite Element Method is an applicable
method that provides good results for the calculation of the impulse response
and acoustic parameters in a reverberant room.
As a utilization of the Time Domain Finite Element Method the method was
applied in a Virtual Reverberation Chamber for the calculation of the absorption
coefficients of an acoustic panel. The results showed that the method can be used
for the prediction of the absorption characteristics of acoustic panels of various
shapes prior to their manufacture.
MULTI-EXIT VISION TRANSFORMER WITH CUSTOM FINE-TUNING FOR FINE-GRAINED IMAGE RECOGNITION
Creators: Tianyi Shen
Chonghan Lee
Vijaykrishnan Narayanan
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: Capturing subtle visual differences between subordinate categories is crucial for improving the performance of Finegrained Visual Classification (FGVC). Recent works proposed deep learning models based on Vision Transformer (ViT) to take advantage of its self-attention mechanism to locate important regions of the objects and extract global information. However, their large number of layers with self-attention mechanism requires intensive computational cost and makes them impractical to be deployed on resource-restricted hardware including internet of things (IoT) devices. In this work, we propose a novel Multi-exit Vision Transformer architecture (MEViT) for early exiting based on ViT, as well as a fine-tuning strategy that involves self-distillation to improve the accuracy of early exit branches on FGVC task compared to the baseline ViT model. The experiments on two standard FGVC benchmarks show our proposed model provides superior accuracy-efficiency trade-offs compared to the state-of-the-art (SOTA) ViT-based model and demonstrate that it is possible to accurately classify many subcategories with significantly less effort.
Spatial Queries with Two kNN Predicates
Creators: name: Aly, Ahmed M.
name: Aref, Walid G.
name: Ouzzani, Mourad
Publisher: name: arXiv
Year: 2012
Subjects: subject: Databases (cs.DB)
subject: FOS: Computer and information sciences

description: The widespread use of location-aware devices has led to countless location-based services in which a user query can be arbitrarily complex, i.e., one that embeds multiple spatial selection and join predicates. Amongst these predicates, the k-Nearest-Neighbor (kNN) predicate stands as one of the most important and widely used predicates. Unlike related research, this paper goes beyond the optimization of queries with single kNN predicates, and shows how queries with two kNN predicates can be optimized. In particular, the paper addresses the optimization of queries with: (i) two kNN-select predicates, (ii) two kNN-join predicates, and (iii) one kNN-join predicate and one kNN-select predicate. For each type of queries, conceptually correct query evaluation plans (QEPs) and new algorithms that optimize the query execution time are presented. Experimental results demonstrate that the proposed algorithms outperform the conceptually correct QEPs by orders of magnitude.
description: VLDB2012
title: Αλγόριθμος επαναληπτικής επέκτασης τοπικής αναζήτησης για την επίλυση προβλήματος δρομολόγησης οχημάτων
Creators: name: Χλουβεράκης Αντώνης
Publisher: name: Technical University of Crete
Year: 2004

description: Μη διαθέσιμο
SCENE TEXT RECOGNITION MODELS EXPLAINABILITY USING LOCAL FEATURES
Creators: Mark Vincent Ty
Rowel Atienza
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: Explainable AI (XAI) is the study on how humans can be able to understand the cause of a model’s prediction. In this work, the problem of interest is Scene Text Recognition (STR) Explainability, using XAI to understand the cause of an STR model’s prediction. Recent XAI literatures on STR only provide a simple analysis and do not fully explore other XAI
methods. In this study, we specifically work on data explainability frameworks, called attribution-based methods, that explains the important parts of an input data in deep learning models. However, integrating them into STR produces inconsistent and ineffective explanations, because they only explain the model in the global context. To solve this problem, we
propose a new method, STRExp, to take into consideration the local explanations, i.e. the individual character prediction explanations. This is then benchmarked across different
attribution-based methods on different STR datasets and evaluated across different STR models.
title: Μια ολοκληρωμένη προσέγγιση στη σύζευξη των συστημάτων βάσης δεδομένων και των έμπειρων συστημάτων
Creators: name: Ζάχος Βασίλειος
Publisher: name: Technical University of Crete
Year: 1993

description: Μη διαθέσιμο
ENABLING THE ENCODER-EMPOWERED GAN-BASED VIDEO GENERATORS FOR LONG VIDEO GENERATION
Creators: Jingbo Yang
Adrian Bors
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: We propose Recall Encoder-empowered GAN3 (REncGAN3), employing the recall mechanism to enable a standard short video (16-frame) generation model EncGAN3 for generating long videos of hundreds of frames.
The recall mechanism utilizes simple changes that enable the generation of connectable short video clips for merging into long sequences, maintaining long-duration consistency.
title: Ένας αλγόριθμος ολοκλήρωσης ρομποτικού οχήματος. Υπολογισμός θέσης-κίνηση σε ασφαλές μονοπάτι με προσομοίωση λειτουργίας αισθητήρων
Creators: name: Μαρτίνου Λουκάς
Publisher: name: Technical University of Crete
Year: 1994

description: Μη διαθέσιμο
Microwave characterisation of CaF2 at cryogenic temperatures using a dielectric resonator technique
Creators: name: Jacob, Mohan V.
name: Mazierska, Janina E.
name: Ledenyov, Dimitri O.
name: Krupka, Jerzy
Publisher: name: arXiv
Year: 2012
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Properties of calcium fluoride (CaF2) have been well researched at UV, visible and IR range of frequencies, but not at ultra high frequencies. In this work we report the loss tangent and the real part of relative permittivity of CaF2, measured in the temperatures range of 15 - 81 K and the frequency of 29.25 GHz. The loss tangent and the real part of relative permittivity were determined by measurements of the resonant frequency and the Qo - factor of a TE011 mode cylindrical copper cavity with superconducting plates containing the sample under test. The measured real part of relative permittivity of CaF2 was found to change from 6.484 to 6.505, and the loss tangent from 3.1x10^(-6) to 22.7x10^(-6), when the temperature was varied from 15 to 81 K. Due to the low losses CaF2 can be useful in construction of high Q-factor microwave circuits and devices, operating at the cryogenic temperatures.
description: 6 pages, 8 figures, 2 tables; http://www.sciencedirect.com/science/article/pii/S0955221903001833
Additional file 3 of Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019
Creators: name: Subramanian, Anuradhaa
name: Azcoaga-Lorenzo, Amaya
name: Anand, Astha
name: Phillips, Katherine
name: Lee, Siang Ing
name: Cockburn, Neil
name: Fagbamigbe, Adeniyi Francis
name: Damase-Michel, Christine
name: Yau, Christopher
name: McCowan, Colin
name: O’Reilly, Dermot
name: Santorelli, Gillian
name: Hope, Holly
name: Kennedy, Jonathan I.
name: Abel, Kathryn M.
name: Eastwood, Kelly-Ann
name: Locock, Louise
name: Black, Mairead
name: Loane, Maria
name: Moss, Ngawai
name: Plachcinski, Rachel
name: Thangaratinam, Shakila
name: Brophy, Sinead
name: Agrawal, Utkarsh
name: Vowles, Zoe
name: Brocklehurst, Peter
name: Dolk, Helen
name: Nelson-Piercy, Catherine
name: Nirantharakumar, Krishnarajah
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 3: Figure S3. Polypharmacy (5 or more medications) prevalence trend from 2000 to 2019.
SELECTING A DIVERSE SET OF AESTHETICALLY-PLEASING AND REPRESENTATIVE VIDEO THUMBNAILS USING REINFORCEMENT LEARNING
Creators: Evlampios Apostolidis
Georgios Balaouras
Vasileios Mezaris
Ioannis Patras
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: This paper presents a new reinforcement-based method for video thumbnail selection (called RL-DiVTS), that relies on estimates of the aesthetic quality, representativeness and visual diversity of a small set of selected frames, made with
the help of tailored reward functions. The proposed method integrates a novel diversity-aware Frame Picking mechanism that performs a sequential frame selection and applies a reweighting process to demote frames that are visually-similar to the already selected ones. Experiments on two benchmark datasets (OVP and YouTube), using the top-3 matching evaluation protocol, show the competitiveness of RL-DiVTS against other SoA video thumbnail selection and summarization approaches from the literature.
WHEN VISIBLE-TO-THERMAL FACIAL GAN BEATS CONDITIONAL DIFFUSION
Creators: Catherine Ordun
Edward Raff
Sanjay Purushotham
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: Thermal facial imagery offers valuable insight into physiological states such as inflammation and stress by detecting emitted radiation in the infrared spectrum, which is unseen in the visible spectra. Telemedicine applications could benefit from thermal imagery, but conventional computers are reliant on RGB cameras and lack thermal sensors. As a result, we propose the Visible-to-Thermal Facial GAN (VTF-GAN) that is specifically designed to generate high-resolution thermal faces by learning both the spatial and frequency domains of facial regions, across spectra. We compare VTF-GAN against several popular GAN baselines and the first conditional DDPM for VT face translation (VTF-Diff). Results show that VTF-GAN achieves high quality, crisp, and perceptually realistic thermal faces using a combined set of patch, temperature, perceptual, and Fourier Transform losses, compared to all baselines including diffusion.
On the notions of symmetry and aperiodicity for Delone sets
Creators: name: Baake, Michael
name: Grimm, Uwe
Publisher: name: arXiv
Year: 2012
Subjects: subject: Metric Geometry (math.MG)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Non-periodic systems have become more important in recent years, both theoretically and practically. Their description via Delone sets requires the extension of many standard concepts of crystallography. Here, we summarise some useful notions of symmetry and aperiodicity, with special focus on the concept of the hull of a Delone set. Our aim is to contribute to a more systematic and consistent use of the different notions.
description: 13 pages
title: Comparison of superimposed voltage tests with spark gap and coupling capacitor at a gas-insulated model arrangement
Creators: name: Hallas, Martin
name: Hinrichsen, Volker
name: Tenzer, Michael
Publisher: name: IEEE
Year: 2022

description: Superimposed voltage tests are widespread to qualify HVDC equipment. Two possible test circuits are used, which result in different voltage shapes: superimposition by a coupling capacitor or by a spark gap. So far, there is no data available, which compares the resulting breakdown voltages of both methods with each other. This paper closes this gap by determination of the breakdown voltage at a model arrangement using both methods. The investigation was focused on gas-insulated systems, which are a typical application in HVDC. The model arrangement was built such that it represents a typical gas-solid interface in a coaxial GIL assembly. HVDC effects were included by heating of the earthed electrode. The determination of reproducible data was challenging, but could be achieved by adaptions inside the test circuit, as well as a suitable test procedure. The collected data with the built test arrangement is presented and discussed further in this paper. Based on the results a first conclusion is given, whether the different voltage shapes resulting from the use of a coupling capacitor and a spark gap, respectively, also result in different breakdown voltages.
UTILIZING SUPER-RESOLUTION FOR ENHANCED AUTOMOTIVE RADAR OBJECT DETECTION
Creators: Asish Kumar Mishra
Kanishka Tyagi
Deepak Mishra
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: In recent years, automotive radar has become an integral part of the advanced safety sensor stack. Although radar gives a significant advantage over a camera or Lidar, it suffers from poor angular resolution, unwanted noises and significant object smearing across the angular bins, making radar-based object detection challenging. We propose a novel radar-based object detection utilizing a deep learning-based super-resolution (DLSR) model. Due to the unavailability of low-high resolution radar data pair, we first simulate the data to train a DLSR model. We develop a framework that feeds a low-resolution radar dataset (called CRUW dataset) into the trained DLSR model pipeline to train a radar-based deep object detection classifier. The proposed framework achieves an 80% accuracy on object classification for the CRUW dataset and has a lower computational footprint, making it an ideal candidate for real-time implementation on edge devices used in autonomous driving applications. Code, dataset and supplementary material are on https://github.com/kanishkaisreal/DLSR_CRUW
title: Επιλογή χαρακτηριστικών σε προβλήματα ταξινόμησης μέσω της θεωρίας των προσεγγιστικών συνόλων και τεχνικών επαναληπτικής δειγματοληψίας
Creators: name: Χρηστάκης Γιώργος
Publisher: name: Technical University of Crete
Year: 2003

description: Μη διαθέσιμο
Reconstructing the Profile of Time-Varying Magnetic Fields With Quantum Sensors
Creators: name: Magesan, Easwar
name: Cooper, Alexandre
name: Yum, Honam
name: Cappellaro, Paola
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum systems have shown great promise for precision metrology thanks to advances in their control. This has allowed not only the sensitive estimation of external parameters but also the reconstruction of their temporal profile. In particular, quantum control techniques and orthogonal function theory have been applied to the reconstruction of the complete profiles of time-varying magnetic fields. Here, we provide a detailed theoretical analysis of the reconstruction method based on the Walsh functions, highlighting the relationship between the orthonormal Walsh basis, sensitivity of field reconstructions, data compression techniques, and dynamical decoupling theory. Specifically, we show how properties of the Walsh basis and a detailed sensitivity analysis of the reconstruction protocol provide a method to characterize the error between the reconstructed and true fields. In addition, we prove various results about the negligibility function on binary sequences which lead to data compression techniques in the Walsh basis and a more resource-efficient reconstruction protocol. The negligibility proves a fruitful concept to unify the information content of Walsh functions and their dynamical decoupling power, which makes the reconstruction method robust against noise.
description: 19 pages, 10 figures
A Multichannel Localization Method for Camouflaged Object Detection
Creators: MD. Rakibur Rahman
MD Mafri Chowdhury
Md. Shohanur Rahaman Sarkar
Md. Shahriar Karim
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: This paper proposes a multichannel method for discriminative region localization in Camouflaged Object Detection (COD) tasks. In one channel, processing the phase and amplitude of 2-D Fourier spectra generate a modified form of the original image, used later for a pixel-wise optimal local entropy analysis. The other channel implements a class activation map (CAM) and Global Average Pooling (GAP) for object localization. We combine the channels linearly to form the final localized version of the COD images. Experimentation in multiple COD datasets demonstrates that the proposed method successfully localizes regions containing more than 80% of the camouflaged objects. Our proposed method does not require memory-intensive devices or prior training on particular image features, making it easily integrated into a resource-constrained environment. The proposed approach is also applicable to non-COD images.
Optical Character Recognition for Medical Records Digitization with Deep Learning
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: The importance of document digitization has increased due to recent technological advancements, including in the medical field. Digitization of medical records plays a vital role in the healthcare sector as it helps expedite emergency treatment. Due to the scarcity of published studies and public German textual resources, a medical records database with German handwriting was collected and digitized. In this study, document digitization was accomplished by implementing deep learning, region of interest (ROI) detection, and optical character recognition (OCR) on a dataset containing medical forms filled with German and English characters. To find the best model for ROI detection, YOLOv5, and SSDResNet50 models were utilized and compared with YOLOv5 producing a better mean average precision (mAP) of 0.91. OCR was then carried out on the output from YOLOv5 with two different methods again for comparison. The Gated-CNN-BLSTM algorithm yielded a character error rate (CER) of 9%, while transformer-based OCR (TrOCR) achieved a CER of 6%. The proposed system could be implemented and further tested in local hospitals, with the OCR dictionary being expandable to include other Roman character based languages.
DEP Bulletin:Volume 35 Issue 1
Creators: name: No Name Supplied
Publisher: name: No Publisher Supplied
Year: 2011

description: The DEP bulletin is a semi-monthly publication of the New Jersey Department of Environmental Protection. It contains a list of construction permit applications recently filed or acted upon by the Department along with a calendar of events of interest, a schedule of public hearings, and Environmental Impact Statements acted upon during the period.
title: Μελέτη επαγγελματικού κινδύνου εφαρμογής στο εργοστάσιο εμφιάλωσης νερού PEPSI CO-ΗΒΗ Λουτρακίου
Creators: name: Μπιτζίνη Μαρία
Publisher: name: Technical University of Crete
Year: 2003

description: Μη διαθέσιμο
How to empower teens to manage their health. A guide for teachers and educators
Creators: name: Cerrato, Simona
Publisher: name: Zenodo
Year: 2022
Subjects: teens, health, citizen science European Union's Horizon 2020 research and innovation programme under grant agreement 101006251

description: SEEDS is a science project by teenagers for teenagers. It aims to empower them to live healthy lifestyles and to help them explore how important and exciting science is. They will use citizen science to create new experiments for healthy lifestyles. These will run for six months in schools in Spain, the Netherlands, Greece and the UK. This guide is dedicated to teachers and educators and provides information on four issues (healthy snacks, physical activity, sedentary behavior and screen time) of primary importance in the lives of teenagers. It also proposes some practical tips to apply in the daily practice to help teachers to empower students.
description: -
SiamCLIM: Text-Based Pedestrian Search via Multi-modal Siamese Contrastive Learning
Creators: Shuyang Wu
Leiping Jie
Xinxin Zuo
Hui Zhang
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: Text-based pedestrian search (TBPS) aims at retrieving target persons from the image gallery through descriptive text queries. Despite remarkable progress in recent state-of-the-art approaches, previous works still struggle to efficiently extract discriminative features from multi-modal data. To address the problem of cross-modal fine-grained text-to-image, we proposed a novel Siamese Contrastive Language-Image Model (SiamCLIM). The model implements textual description and target-person interaction through deep bilateral projection, and siamese network structure to capture the relationship between text and image. Experiments show that our model significantly outperforms the state-of-the-art methods on cross-modal fine-grained matching tasks. We conduct the downstream task experiments on the benchmark dataset CUHK-PEDES and the experimental results demonstrate that our model is state-of-the-art and outperforms the current methods by 11.55%, 11.02%, and 7.76% in terms of top-1, top-5, and top-10 accuracy,
title: Μοντελοποίηση της ροής και της μεταφοράς γεωργικών  φαρμάκων στην ακόρεστη ζώνη του εδάφους (ριζόσφαιρα) PRZM-3 (Pesticides root zone model)-3
Creators: name: Κουργιαλάς Νεκτάριος
Publisher: name: Technical University of Crete
Year: 2004

description: Μη διαθέσιμο
Early Detection of Cars Exiting Road-side Parking
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: Vehicles suddenly exiting road-side parking constitute a hazardous situation for vehicle drivers as well as for Connected and Autonomous Vehicles (CAV).  In order to improve the awareness of road users, we propose an original cooperative information system based on image processing to monitor vehicles parked on the road-side and on communication for sending early warning to vehicles on the road about vehicles leaving their parking space. We have implemented and tested this system in two places in France with parallel and perpendicular parking slots for several camera positions, and we report on its efficiency and its limits.
CEU (Centros Educacionair Unificados) : Translating socio-democratic values through the formation of community integrated educational spaces: URBAN MUTATIONS ON THE EDGE
Creators: name: Clements, Brigitte
Publisher: name: ETH Zurich
Year: 2017
Subjects: subject: CEU
subject: Education
subject: Modernism
subject: Architecture
subject: FOS: Civil engineering
subject: SOCIAL INEQUALITY
subject: Economic inequality
subject: Brazilian Architecture
subject: Park school
subject: social inclusion
subject: urbanism
subject: politics

description: The CEUs, or Unified Education Centres (Centros de Educacao Unificados) are public facilities conceived as local centres of urban life, located in the peripheral and disenfranchised areas of São Paulo, Brazil. The facilities are intended for education, culture and sport and are for both school students and the surrounding community. The centres were developed by the Municipal Buildings Department (EDIF), and designed by the architects Alexandre Delijaicov (the main author), Andre Takuya and Wanderley Ariza.The city of São Paulo has shown that educational projects can develop qualitatively if they promote the fight against social inequalities and further contribute to the development of community values of participation, inclusion and autonomy. The architectural vision of the CEU project has provided spaces of citizenship, and afforded possiblities to diminish social stratifications through training, education and means of communication. Embodied through modernist architectural principles, the CEUs have successfully promoted the universalisation of public schools whilst transforming the public spaces around them. The spatial arrangement has proven of key importance, with the clear definition of programme determining community interaction points and spaces for the public through the juxtaposition of forms. Much of their success is a result of transforming generic elements with the specific fabric they sit in, taking advantage of local characteristics as well as responding to the specific needs of the area. The schools function more
as a catalyst for community interaction within a given community and has so far proven successful. The CEUs can thus be perceived as a successful strategy for strengthening community involvement and providing opportunities needed especially in underserved communities through spatial and programmatic measures.
title: Μικροκλιματική μελέτη και ανάλυση των τάσεων των χρονοσειρών της θερμοκρασίας του αέρα και του υετού στον μετεωρολογικό σταθμό Σούδας (1959-2004)
Creators: name: Λέκκας Εμμανουήλ
Publisher: name: Technical University of Crete
Year: 2005

description: φ. 1: Παράγοντες που διαμορφώνουν το κλιματικό σύστημα της γης -- Κεφ. 2: Μετεωρολογικά δεδομένα και μέθοδοι επεξεργασίας -- Κεφ. 3: Οπτικοποίηση μετεωρολογικών δεδομένων Μ. Σ. Σούδας -- Κεφ. 4: Μικροκλιματική μελέτη μετεωρολογικών δεδομένων Μ. Σ. Σούδας
Fast variability as a probe of the smallest regions around accreting black holes
Creators: name: Axelsson, M.
name: Hjalmarsdotter, L.
name: Done, C.
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We extract the spectra of the fastest variability (above 10 Hz) from the black hole XTE J1550-564 during a transition from hard to soft state on the rise to outburst. We confirm previous results that the rapid variability contains no significant disc component despite this being strongly present in the total spectrum of the softer observations. We model ionised reflection significantly better than previous work, and show that this is also suppressed in the rapid variability spectrum compared to the total emission. This is consistent with the fast variability having its origin in a hot inner flow close to the black hole rather than in the accretion disc or in a corona above it. However, the rapid variability spectrum is not simply the same as the total Comptonised emission. It is always significantly harder, by an amount which increases as the spectrum softens during the outburst. This adds to evidence from time lags that the Comptonisation region is inhomogeneous, with harder spectra produced closest to the black hole, the same region which produces the fastest variability.
description: 8 pages, 6 figures, to be published in MNRAS. Updated to match accepted version (smaller revisions)
Number and spin densities in the ground state of a trapped mixture of two pseudospin-1/2 Bose gases with interspecies spin-exchange interaction
Creators: name: Wang, Jinlong
name: Shi, Yu
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We consider the ground state of a mixture of two pseudospin-$\1/2$ Bose gases with interspecies spin exchange in a trapping potential. In the mean field approach, the ground state can be described in terms of four wave functions governed by a set of coupled Gross-Pitaevskii-like (GP-like) equations, which differ from the usual GP equations in the existence of an interference term due to spin-exchange coupling between the two species. Using these GP-like equations, we calculate such ground state properties as chemical potentials, density profiles and spin density profiles, which are directly observable in experiments. We compare the cases with and without spin exchange. It is demonstrated that the spin exchange between the two species lowers the chemical potentials, tends to equalize the wave functions of the two pseudospin components of each species, and thus homogenizes the spin density. The novel features of the density and spin density profiles can serve as experimental probes of this novel Bose system.
description: 13 pages
title: Ανάλυση επικινδυνότητας ρύπανσης από μονάδες θερμικής επεξεργασίας ΑΣΑ
Creators: name: Παλόγος Ιωάννης
Publisher: name: Technical University of Crete
Year: 2010

description: 1. Εισαγωγή -- 2. Περιγραφή διαδικασίας αποτέφρωσης -- 3. Οικονομική προσέγγιση της διαδικασίας αποτέφρωσης -- 4. Ανάλυση επικινδυνότητας για γεγονότα ρύπανσης από μονάδες αποτέφρωσης ΑΣΑ
LEARNED IMAGE COMPRESSION GUIDED ADAPTIVE QUANTIZATION FOR PERCEPTUAL QUALITY
Creators: Ruiqi Geng
Bohan Li
Maryla Ustarroz-Calonge
Frank Galligan
Jingning Han
Yaowu Xu
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: Neural network based image compression has made significant progress in recent years. The learned image codecs are commonly reported to outperform their conventional counterparts in perceptual quality. Despite the superior performance, the learned image codecs are much more complex to decode, which hinders their usage in practice. Without a significant advance in hardware capability, the conventional image codec will likely remain a primary component for large scale image services. It is therefore desirable to improve the quality of conventional image codecs. In this paper, we present an adaptive quantization approach to the conventional image codec with the help of learned image codecs to improve its perceptual quality. It exploits the bit allocation of the neural network based image codec to adapt the quantizers on a block basis. It is experimentally shown that the proposed method provides considerable perceptual quality improvements over other leading contenders.
Additional file 8 of Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019
Creators: name: Subramanian, Anuradhaa
name: Azcoaga-Lorenzo, Amaya
name: Anand, Astha
name: Phillips, Katherine
name: Lee, Siang Ing
name: Cockburn, Neil
name: Fagbamigbe, Adeniyi Francis
name: Damase-Michel, Christine
name: Yau, Christopher
name: McCowan, Colin
name: O’Reilly, Dermot
name: Santorelli, Gillian
name: Hope, Holly
name: Kennedy, Jonathan I.
name: Abel, Kathryn M.
name: Eastwood, Kelly-Ann
name: Locock, Louise
name: Black, Mairead
name: Loane, Maria
name: Moss, Ngawai
name: Plachcinski, Rachel
name: Thangaratinam, Shakila
name: Brophy, Sinead
name: Agrawal, Utkarsh
name: Vowles, Zoe
name: Brocklehurst, Peter
name: Dolk, Helen
name: Nelson-Piercy, Catherine
name: Nirantharakumar, Krishnarajah
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 8: Figure S4. Risk factors associated with polypharmacy during the first trimester of pregnancy.
Can we reproduce the X-ray background spectral shape using local AGN?
Creators: name: Vasudevan, Ranjan V.
name: Mushotzky, Richard F.
name: Gandhi, Poshak
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The X-ray background (XRB) is due to the aggregate of active galactic nuclei (AGN), which peak in activity at z~1 and is often modeled as the sum of different proportions of unabsorbed, moderately- and heavily-absorbed AGN. We present the summed spectrum of a complete sample of local AGN (the Northern Galactic Cap of the 58-month Swift/BAT catalog, z<0.2) using 0.4-200keV data and directly determine the different proportions of unabsorbed, moderately and heavily-absorbed AGN that make up the summed spectrum. This stacked low redshift AGN spectrum is remarkably similar in shape to the XRB spectrum (when shifted to z~1), but the observed proportions of different absorption populations differ from most XRB synthesis models. AGN with Compton-thick absorption account for only ~12% of the sample, but produce a significant contribution to the overall spectrum. We confirm that Compton reflection is more prominent in moderately-absorbed AGN and that the photon index differs intrinsically between unabsorbed and absorbed AGN. The AGN in our sample account for only ~1% of the XRB intensity. The reproduction of the XRB spectral shape suggests that strong evolution in individual AGN properties is not required between z~0 and 1.
description: 6 pages, 5 figures, accepted for publication in ApJ Letters
Optimal Algorithms for Crawling a Hidden Database in the Web
Creators: name: Sheng, Cheng
name: Zhang, Nan
name: Tao, Yufei
name: Jin, Xin
Publisher: name: arXiv
Year: 2012
Subjects: subject: Databases (cs.DB)
subject: FOS: Computer and information sciences

description: A hidden database refers to a dataset that an organization makes accessible on the web by allowing users to issue queries through a search interface. In other words, data acquisition from such a source is not by following static hyper-links. Instead, data are obtained by querying the interface, and reading the result page dynamically generated. This, with other facts such as the interface may answer a query only partially, has prevented hidden databases from being crawled effectively by existing search engines. This paper remedies the problem by giving algorithms to extract all the tuples from a hidden database. Our algorithms are provably efficient, namely, they accomplish the task by performing only a small number of queries, even in the worst case. We also establish theoretical results indicating that these algorithms are asymptotically optimal -- i.e., it is impossible to improve their efficiency by more than a constant factor. The derivation of our upper and lower bound results reveals significant insight into the characteristics of the underlying problem. Extensive experiments confirm the proposed techniques work very well on all the real datasets examined.
description: VLDB2012
Electric Dipole Moments of Light Nuclei from Chiral EFT
Creators: name: Higa, Renato
Publisher: name: arXiv
Year: 2012
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Recent calculations of EDMs of light nuclei in the framework of chiral effective field theory are presented. We argue that they can be written in terms of the leading six low-energy constants encoding CP-violating physics. EDMs of the deuteron, triton, and helion are explicitly given in order to corroborate our claim. An eventual non-zero measurement of these EDMs can be used to disentangle the different sources and strengths of CP-violation.
description: 4 pages, talk given at the 20th International IUPAP Conference on Few-Body Problems in Physics, 20 - 25 August, 2012, Fukuoka, Japan
title: Μελέτη της ποιότητας αέρα στο εργοστάσιο μηχανικής ανακύκλωσης & κομποστοποίησης (ΕΜΑΚ) και της έκθεσης των εργαζομένων σε αέριους ρύπους και αιωρούμενα σωματίδια στον χώρο υγειονομικής ταφής του ΕΜΑΚ
Creators: name: Κονταξάκης Μιχάλης
Publisher: name: Technical University of Crete
Year: 2009

description: Μη διαθέσιμο
Functional Knowledge Transfer with Self-supervised Representation Learning
Creators: Prakash Chandra Chhipa
Muskaan Chopra
Gopal Mengi
Varun Gupta
Richa Upadhyay
Meenakshi Subhash Chippa
Kanjar De
Rajkumar Saini
Seiichi Uchida
Marcus Liwicki
Publisher: name: IEEE Signal Processing Society
Year: 2023

description: This work investigates the unexplored usability of self-supervised representation learning in the direction of functional knowledge transfer. In this work, functional knowledge transfer is achieved by joint optimization of self-supervised learning pseudo task and supervised learning task, improving supervised learning task performance. Recent progress in self-supervised learning uses a large volume of data, which becomes a constraint for its applications on small-scale datasets. This work shares a simple yet effective joint training framework that reinforces human-supervised task learning by learning self-supervised representations just-in-time and vice versa. Experiments on three public datasets from different visual domains, Intel Image, CIFAR, and APTOS, reveal a consistent track of performance improvements on classification tasks during joint optimization. Qualitative analysis also supports the robustness of learnt representations. Source code and trained models are available on GitHub.