Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast hologram synthesis methods for realistic 3D visualization

L’holographie est souvent consideree comme la technologie de visualisation 3D la plus prometteuse, puisqu'elle fournit l'illusion du relief la plus naturelle et la plus realiste possible. Toutefois, pour trouver application dans le domaine de la visioconference ou de la telepresence, les methodes de generation numerique d'hologrammes doivent produire des scenes realistes avec une forte illusion de profondeur, et ce en temps reel. Cette these se situe dans ce contexte et est organise en deux parties. Dans la premiere partie de ce travail, nous avons propose deux algorithmes de synthese d'hologrammes permettant de se rapprocher du temps reel. Tout d'abord, nous avons developpe une methode combinant deux approches complementaires: les approches point-source et wave-field. Alors que les methodes de l'etat de l'art reduisent la complexite de calcul de ces deux approches independamment, notre methode tire parti de chacune d'entre elles. De cette maniere, le temps de calcul de l'hologramme a ete reduit de plus de 65% par rapport aux methodes point-source et wave-field conventionnelles. Deuxiemement, nous avons cherche a accelerer cette methode hybride en supprimant les redondances temporelles entre les trames consecutives d'une video 3D. Pour chaque image, l'algorithme detecte les changements dans la scene et met a jour l'hologramme des points affectes. Etant donne que seules de petites regions de l'hologramme sont mises a jour, la charge de calcul est considerablement reduite, permettant le calcul d’hologrammes couleur a 60 images par seconde. Dans la deuxieme partie de ce travail, nous avons propose deux algorithmes afin d'ameliorer la qualite visuelle des scenes. Tout d'abord, nous avons perfectionne la methode hybride pour tenir compte des occultations dans la scene. Pour cela, nous avons concu une methode efficace pour le calcul de l'occultation d'une onde lumineuse par un point. Cette methode reproduit les occultations sans augmenter de maniere significative le temps de calcul de la methode hybride originale. Enfin, nous avons propose une methode pour le calcul d'un hologramme a partir de donnees multivue-plus-profondeur (MVD) avec prise en compte des reflexions speculaires. Selon cette methode, la geometrie de la scene est reconstruite a partir des donnees MVD sous la forme d'un nuage de points, ce qui permet de n'utiliser que quelques projections de la scene. En outre, afin de tenir compte de reflexions speculaires, chaque point de la scene est considere avoir une emission differente selon les directions. Enfin, la lumiere emise par la scene est propagee dans le plan de l'hologramme. Les resultats experimentaux montrent que cette methode reproduit tous les indices de la profondeur et l'illumination precise de la scene avec une complexite de calcul reduite.
FastPlace: efficient analytical placement using cell shifting, iterative local refinement, and a hybrid net model

In this paper, we present FastPlace-a fast, iterative, flat placement algorithm for large-scale standard cell designs. FastPlace is based on the quadratic placement approach. The quadratic approach formulates the wirelength minimization problem as a convex quadratic program that can be solved efficiently by some analytical techniques. However it suffers from some drawbacks. First, the resulting placement has a lot of overlap among cells. Second, the resulting total wirelength may be long as the quadratic wirelength objective is only an indirect measure of the linear wirelength. Third, existing net models tend to create a lot of nonzero entries in the connectivity matrix that slows down the quadratic program solver. To handle the above problems we propose: 1) an efficient cell shifting technique to remove cell overlap from the quadratic program solution and also accelerate the convergence of the solver. This technique produces a global placement with even cell distribution in a very short time; 2) an iterative local refinement technique to reduce the wirelength according to the half-perimeter measure; and 3) a hybrid net model that is a combination of the traditional clique and star models. This net model greatly reduces the number of nonzero entries in the connectivity matrix and results in a significant speedup of the solver. Experimental results show that FastPlace is on average 13.4/spl times/,102/spl times/, and 19.9/spl times/ faster than state-of-the art academic placers Capo, Dragon, and Gordian-Domino, respectively, on a set of IBM benchmarks.
A graph partitioning approach to coreference resolution

This report presents a graph partitioning approach given a set of constraints to resolve coreferences. Coreference resolution is the task of determining which referring expressions in a discourse refer to the same entity. Coreference resolution is a natural language processing task which has a direct effect on the field of Text Mining and its related areas such as Information Extraction, Question Answering, Summarization, Machine Translation. This report summarizes the research done in coreference resolution and presents our machine learning graph-based system and our baseline with preliminary results in comparison with other machine learning systems in the state of the art.
Self‐reported compliance with last malaria treatment and occurrence of malaria during follow‐up in a Brazilian Amazon population

The objective of this study was to describe the association between self‐reported compliance with last malaria treatment (CMT) and occurrence of malaria during follow‐up, controlling for current risk factors. We conducted a prospective open cohort study in Leonislândia, a rural area of Peixoto de Azevedo City, in the Amazon region of Mato Grosso, Brazil. A total of 414 individuals were interviewed at baseline regarding CMT and followed‐up for either 8 or 4 months to assess malaria incidence. The associations between CMT and occurrence of malaria were examined through multiple linear regression (when the outcome was malaria episode frequency) or Cox regression (when the outcome was time to malaria onset). Poor CMT (prior to baseline) was identified as an important predictor of the occurrence of subsequent malaria episodes during follow‐up among individuals with an indication of being less immune – those whose first malaria episode was relatively recent or those who had an increased number of malaria episodes during the last 2 years. Moreover, surprisingly, it seems that for individuals who are probably more immune (individuals who had experienced their first malaria episode more than 4.5 years previously or those with few or no malaria episodes during the last 2 years), CMT was found to be a poor predictor of increased risk of subsequent malaria. These findings provide compelling evidence for the need to further study CMT and its effect on malaria outcomes.
On fault prediction based on industrial big data

Fault-free production is a basic characteristic of intelligent workshop. The existing model-based fault prediction methods depend much more on the precise models of the equipment, while the data-driven ones can only use some basic state data with very limited volume. These features make them not only impractical, but also not able to meet the real-time requirement of analyzing industrial big data under the environment of Industrial Internet of Things. This paper presents a fault prediction method based on industrial big data, which directly excavates the relationship between the data such as the sound and status data, and the equipment faults by machine learning methods. What is more, the equipment state can be monitored in real time leading to the failure would be checked out timely. The simulation result shows that our method has high accuracy and real-time features compared with the existing ones.
Low-power high-voltage charge pumps for implantable microstimulators

Two low-power high-voltage charge pumps have been designed to generate required voltage needed for intracortical microstimulation. High-voltage technology (0.8μm CMOS) has been used to generate high-supply voltage level with low-power consumption and low-voltage technology (0.13μm CMOS) has been used to investigate the possibility of generating high-supply voltage level overcoming the technology limitations. Both designs generate supply voltages more than 20V (>; ±10V) and consume low static power. The design in 0. 8μm technology generates 24.52V supply voltage for no load and consumes 3.73mW static power. On the other hand, the design in 0. 13μm CMOS technology generates 18.96 V for no load and consumes 0.8976mW static power.
Towards a unified approach for remote estimation of chlorophyll‐a in both terrestrial vegetation and turbid productive waters

In this study we tested the applicability of a method, originally developed for terrestrial plant leaves, to retrieve chlorophyll‐a concentrations from reflectance spectra of turbid productive waters. We tuned the conceptual model according to the optical characteristics of the aquatic medium, and accurately predicted chlorophyll‐a concentrations in water bodies over a wide range of optical conditions. Our results provide evidence that this technique may be considered as a general solution, independent of the type of medium, for assessing chlorophyll concentration in optically deep media using remotely sensed data.
THE WIDE-FIELD INFRARED SURVEY EXPLORER (WISE): MISSION DESCRIPTION AND INITIAL ON-ORBIT PERFORMANCE

The all sky surveys done by the Palomar Observatory Schmidt, the European Southern Observatory Schmidt, and the United Kingdom Schmidt, the InfraRed Astronomical Satellite, and the Two Micron All Sky Survey have proven to be extremely useful tools for astronomy with value that lasts for decades. The Wide-field Infrared Survey Explorer (WISE) is mapping the whole sky following its launch on 2009 December 14. WISE began surveying the sky on 2010 January 14 and completed its first full coverage of the sky on July 17. The survey will continue to cover the sky a second time until the cryogen is exhausted (anticipated in 2010 November). WISE is achieving 5σ point source sensitivities better than 0.08, 0.11, 1, and 6 mJy in unconfused regions on the ecliptic in bands centered at wavelengths of 3.4, 4.6, 12, and 22 μm. Sensitivity improves toward the ecliptic poles due to denser coverage and lower zodiacal background. The angular resolution is 6. ″1, 6. ″4, 6. ″5, and 12. ″0 at 3.4, 4.6, 12, and 22 μm, and the astrometric precision for high signal-to-noise sources is better than 0. ″15.
Discriminating Methods: Tests for Non-Nested Discrete Choice Models

We consider the problem of choosing between rival statistical models that are non-nested in terms of their functional forms. We assess the ability of two tests, one parametric and one distribution-free, to discriminate between such models. Our Monte Carlo simulations demonstrate that both tests are, to varying degrees, able to discriminate between strategic and non-strategic discrete choice models. The distribution-free test appears to have greater relative power in small samples.
Dynamic Hierarchical Dirichlet Process for Modeling Topics in Time-Stamped Documents

We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. A novel topic model is introduced, based on an extension of the hierarchical Dirichlet process (HDP), termed the dynamic HDP. The detail s of this general framework may take different forms, depending on the specifics of the model. For the examples considered here we examine base measures based on independent multinomial-Di richlet measures for representation of topic-dependent word counts. It is assumed that each paragr aph is associated with a particular topic, and the probability of a given topic being manifested in a spe cific document evolves dynamically between contiguous time-stamped documents. Natural simpl ifications of the dHDP allow fully variational Bayesian (VB) inference, of interest for large-sca le problems. We demonstrate results and make comparisons to HDP ( i.e., without dynamic topic evolution) and latent Dirichlet all ocation (LDA), considering a database of NIPS papers as well as the Un ited States presidential State of the Union addresses from 1790 to 2008.
Towards an Argumentative Dialogue System

© 2017 CEUR-WS. All rights reserved. In this work we propose a scheme for an Argumentative Dialogue System that allows a user to discuss a certain topic with a virtual agent using natural language. Starting from an agent vs agent case, we address the optimization of the agent strategy by formulating the problem as a Stochastic Game and show that this formalism generally allows the inclusion of additional strategical moves that are not based on the content of the argument. In a second step we propose our approach for the Natural Language Understanding of arguments by combining recent results of argumentation mining with a keyword-based mapping.
Association Between Breast-Feeding and Severity of Acute Viral Respiratory Tract Infection

In a cross-sectional analysis of 629 mother-infants dyads, breast-feeding (ever vs. never) was associated with decreased relative odds of a lower versus upper respiratory tract infection (adjusted odds ratio: 0.64; 95% confidence interval: 0.42–0.99). There was not a significant association between breast-feeding and bronchiolitis severity score or length of hospital stay.
Determination of optimal converter operating points regarding static voltage stability and system losses in hybrid transmission systems

The transition of the European electrical energy system leads to rising installations of renewable energy sources (RES). Average transmission distances and active and reactive power losses increase, because RES are mainly installed at sites with a high yield of primary energy. This development affects the voltage stability of the system. To address these challenges, a meshed high voltage direct current (HVDC) overlay system might be used. Within this publication an optimization algorithm is proposed to determine optimal converter operating points. Thereby an iterative load flow approach determines voltage stability limit. A 58 AC busbar transmission system is used where 9 converters are applied forming a HVDC overlay system. Results show that the optimization approach is able to determine optimal operating points regarding static voltage stability as well as regarding overall system losses.
Neuere Literatur zu den Vorsokratikern

L'A. etudie les ouvrages de T. Buchheim, K. -H. Volkmann-Schluck, G. S. Kirk (et al.), C. A. Huffmann et A. P. D. Mourelatos consacres a la philosophie des Presocratiques. Leurs interpretations des textes presocratiques evitent le probleme de la forme etrange de la pensee presocratique et adoptent une approche hermeneutique de la verite
CT Myelography and MR Imaging of Acute Transverse Myelitis

Two patients with acute transverse myelitis were evaluated by both CT myelography and magnetic resonance. Computed tomographic myelography showed fusiform cord enlargement involving several levels; one patient had a subtotal block in the thoracic spine. Magnetic resonance displayed similar findings of cord enlargement. The demonstration of cord swelling in acute transverse myelitis is an uncommon radiologic manifestation of the disease.
Business Process Model Improvement based on Measurement Activities

The current importance of Business Process improvement lies in the fact that it is a key aspect for organizational improvement. Since business process improvement can be dealt from different perspectives, we propose the use of measurement as a technique by which to collect information concerning the quality of the process. We have specifically applied measures to the design stage of the business process lifecycle, which signifies measuring conceptual models. Measurement in Design and Analysis lifecycle stage has several advantages, principally in that it is a means to avoid the propagation of errors to later stages, in which their detection and correction may be more difficult. We therefore propose certain steps for business process model improvement, based on measurement activities (measurement, evaluation, and redesign). These activities have been applied to a real hospital business process model. The model was modified by following expert opinions and modelling guidelines, thus leading to the attainment of a higher-quality model. Our findings clearly support the practical utility of measurement activities for business process model improvement.
The complete mitochondrial genome of Rhinogobio typus (Teleostei, Cyprinidae, Gobioninae)

Abstract In the present study, the complete mitochondrial genome sequence of Rhinogobio typus (Teleostei, Cyprinidae, Gobioninae) was obtained using a PCR-based method. The total length of the mitochondrial genome is 16,608 bp, including 22 transfer RNA genes, 2 ribosomal RNA genes, 13 protein-coding genes, and a non-coding control region (D-loop), which is similar to that observed in many other reported fishes. The overall-based composition is 31.3% A, 26.6% T, 15.9% G and 26.2% C, with high A + T content (57.9%). These results will provide a useful tool for species identification, evolutionary and population genetic studies of R. typus and its related species.
Multiple wave-vector extensions of the NMR pulsed-field-gradient spin-echo diffusion measurement.

Multiple wave-vector extensions of NMR pulsed-field-gradient diffusion measurements are discussed in the context of diffractionlike effects of restricted diffusion. In the case of two independent wave vectors, it is shown that the dependence of the amplitude on the relative angle between the wave vectors carries information that is absent in the usual single-wave-vector amplitude. It is shown that a two-wave-vector measurement is sensitive to restricted diffusion even at small wave vectors, in contrast with the single-wave-vector case. It is proposed that the angular dependence noted above may be used to distinguish effects of restricted diffusion from those arising from a distribution of diffusion constants. © 1995 The American Physical Society.
Clinical Outcomes of Patients With Insufficient Sample From Endometrial Biopsy or Curettage

Endometrial biopsy and curettage are widely used uterine sampling procedures. Occasionally, the amount of tissue obtained is so minimal that diagnosis cannot be reached. In published studies, insufficient samples comprise 2% to 60% of endometrial samples and are influenced by multiple contributory factors. To date, specific quantitative criteria for an adequate endometrial sample have not been established in the pathology community. The decision to classify a sample as nondiagnostic is subject to great interobserver variability, especially where elderly patients are concerned. Meanwhile, whether or not to repeat the procedure is the dilemma for clinical management. Herein we studied the clinicopathologic features of 1120 endometrial samples designated as insufficient for diagnosis. Such samples were more commonly encountered in elderly patients than younger ones (14.6% vs. 5.8%). Our pathologists generally required one intact tissue fragment containing both glands and stroma for premenopausal patients and 5 to 10 strips of atrophic endometrial epithelium for postmenopausal patients. By the 12-mo follow-up, 38% of patients with nondiagnostic samples had second sampling procedures and 7% underwent hysterectomy. The second sample was adequate in 75% of patients, 10% of which showed malignant tumor. If any worrisome histologic findings were present in the initial nondiagnostic sample, a high percentage of these patients were found to have uterine malignancy on second procedures (43%). Aims of this study are to bring awareness to this commonly overlooked topic, to validate our diagnostic criteria, and to outline important clinical implications.
Occupancy Grid Map Merging Using Feature Maps

Abstract : Multi-robot exploration and mapping studies have demonstrated that it is often more efficient to explore unknown areas in parallel rather than with a single agent. However, the question of how to integrate individual maps into a consistent global map remains an open research area. This problem, known as map merging, comprises the establishment of a frame of reference for multiple mobile robots, the identification of regions of map overlap, and the integration of individual maps to produce a global result. In this work, we build a hybrid map which integrates occupancy grid and feature data to solve this problem. This integrated representation permits fast and effective map merging. Experimental results are presented that demonstrate algorithm performance in a realistic scenario.
A Broadband Unidirectional Multi-Dipole Antenna With Very Stable Beamwidth

A broadband multi-dipole antenna with stable beamwidth is presented. Through a rational design of position of dipoles and a reflector, an antenna with a wide impedance bandwidth, stable radiation pattern and nearly identical E- and H-planes is achieved. A laboratory model has been characterized experimentally. Experimental results agree well with simulations. Results show that an impedance bandwidth of 59.7% for <formula formulatype="inline"><tex Notation="TeX">${\rm SWR}<1.5$</tex></formula> from 1.55 to 2.87 GHz was achieved. Stable radiation pattern with 3 dB beamwidth 63.3 <formula formulatype="inline"><tex Notation="TeX">$\pm$</tex> </formula> 2.9 degree at H-plane and 63.4 <formula formulatype="inline"><tex Notation="TeX">$\pm$</tex></formula> 2 degree at E-plane and an antenna gain of 9 <formula formulatype="inline"><tex Notation="TeX">$\pm$</tex></formula> 0.6 dBi was found over the operating frequencies.
Optimizing the Performance of Data Analytics Frameworks

Data analytics frameworks enable users to process large datasets while hiding the complexity of scaling out their computations on large clusters of thousands of machines. Such frameworks parallelize the computations, distribute the data, and tolerate server failures by deploying their own runtime systems and distributed filesystems on subsets of the datacenter resources. Most of the computations required by data analytics applications are conceptually straight-forward and can be performed through massive parallelization of jobs into many fine-grained tasks. Providing efficient and fault-tolerant execution of these tasks in datacenters is ever more challenging and a variety of opportunities for performance optimization still exist. In this thesis we optimize the job performance of data analytics frameworks by addressing several fundamental challenges that arise in datacenters. The first challenge is multi-tenancy: having a large number of users may require isolating their workloads across multiple frameworks. Nevertheless, achieving performance isolation is difficult, because different frameworks may deliver very unbalanced service levels to their users. Second, users have become very demanding from these frameworks, thus expecting timely results for jobs that require only limited resources. However, even with a few long jobs that consume large fractions of the datacenter resources, short jobs may be delayed significantly. Third, improving the job performance in the face of failures is harder still, as we need to allocate extra resources to recompute work which was already done. In order to address these challenges we design, implement, and test several scheduling policies for the evolving usage trends that are derived from the analysis of basic theoretical models. We take an experimental approach and we evaluate the performance of our policies with real-world experiments in a datacenter, using representative workloads and standard benchmarks. Furthermore, we bridge the gap between those experiments and prior theoretical work by performing large-scale simulations of scheduling policies.