Miracle-dz/UniFAR-FTUs huggingface dataset:
The Optical Gravitational Lensing Experiment. Catalog of RR Lyrae Stars in the Large Magellanic Cloud

We present the catalog of RR Lyrae stars discovered in a 4.5 square degrees area in the central parts of the Large Magellanic Cloud (LMC). Presented sample contains 7612 objects, including 5455 fundamental mode pulsators (RRab), 1655 first-overtone (RRc), 272 second-overtone (RRe) and 230 double-mode RR Lyr stars (RRd). Additionally we attach a list of several dozen other short-period pulsating variables. The catalog data include astrometry, periods, BVI photometry, amplitudes, and parameters of the Fourier decomposition of the I-band light curve of each object. We present density map of RR Lyr stars in the observed fields which shows that the variables are strongly concentrated toward the LMC center. The modal values of the period distribution for RRab, RRc and RRe stars are 0.573, 0.339 and 0.276 days, respectively. The period-luminosity diagrams for BVI magnitudes and for extinction insensitive index W_I are constructed. We provide the logP-I, logP-V and logP-W_I relations for RRab, RRc and RRe stars. The mean observed V-band magnitudes of RR Lyr stars in the LMC are 19.36 mag and 19.31 mag for ab and c types, respectively, while the extinction free values are 18.91 mag and 18.89 mag. We also found a large number of RR Lyr stars pulsating in two modes closely spaced in the power spectrum. We discovered three stars which simultaneously reveal RR Lyr-type and eclipsing-type variability. If any of these objects were an eclipsing binary system containing RR Lyr star, then for the first time the direct determination of the mass of RR Lyr variable would be possible. We also provide a list of six LMC star clusters which contain RR Lyr stars. The richest cluster, NGC 1835, hosts 84 RR Lyr variables.
Optimisation de forme numérique de problèmes multiphysiques et multiéchelles : application aux échangeurs de chaleur

Les echangeurs de chaleur sont utilises dans de nombreux secteurs industriels. L'optimisation de leurs performances est donc de premiere importance pour reduire la consommation energetique. Le comportement d'un echangeur est intrinsequement multiechelle : l'echelle locale de l'intensification des phenomenes de transfert thermique cotoie une echelle plus globale ou interviennent des phenomenes de distribution de debit. Un echangeur de chaleur est egalement le siege de differents phenomenes physiques, tels que la mecanique des fluides, la thermique et l'encrassement. Les presents travaux proposent une methode d'optimisation multiobjectif de la forme des echangeurs, robuste, pouvant traiter les aspects multiechelles et multiphysiques et applicable dans un contexte industriel. Les performances de l'echangeur sont evaluees par des simulations de mecanique des fluides numerique (CFD) et par des methodes globales (є-NUT). Suite a une etude bibliographique, une methode de metamodelisation par krigeage associee a un algorithme genetique ont ete retenus. Des methodes de visualisation adaptees (clustering et Self-Organizing Maps) sont utilisees pour analyser les resultats. Le metamodele permet d'approcher la reponse d'un simulateur (CFD) et d'en fournir une prediction dont l'interrogation est peu onereuse. Le krigeage permet de prendre en compte une discontinuite et des perturbations de la reponse du simulateur par l'ajout d'un effet de pepite. Il permet egalement l'utilisation de strategies d'enrichissement construisant des approximations precises a moindre cout. Cette methode est appliquee a differentes configurations representatives du comportement de l'echangeur, permettant de s'assurer de sa robustesse lorsque le simulateur change, lorsque l'aspect multiechelle est pris en compte ou lorsque une physique d'encrassement est consideree. Il a ete etabli que l'etape de metamodelisation assure la robustesse de la methode et l'integration de l'aspect multiechelle. Elle permet aussi de construire des correlations a l'echelle locale qui sont ensuite utilisees pour determiner les performances globales de l'echangeur. Dans un contexte industriel, les methodes d'analyse permettent de mettre en evidence un nombre fini de formes realisant un compromis des fonctions objectif antagonistes.
Enhanced Empirical Mode DecompositionApproach toEliminateMotion Artifacts in EEG using ICA and DWT

To ease the concept of diagnosing human health a strong and viable biomedical signal is of importance. Biomedical signal measurement and processing of signal cause the probability of artifacts which can obstruct the features of interest and quality of information available in the signal. So elimination of artifacts from physiological signals is an essential step. The single channel measurement is important when instrumentation complexity is needed to be minimized, in spite of many multichannel signals recording methods available.In this paper, an enhanced empirical approach to remove the artifacts of single channel signal is described followed by filtering mechanism using ICA and DWT. The input EEG is a single channel and is converted into multichannel for ICA operations. The multi-channel EEG signal is filtered with fast ICA algorithmand DWT is employed to reject any traces of artifacts left in the signal. This technique is tested against currently available wavelet de-noising and EMD-ICA technique using functional near infrared spectroscopy (EEG) signal. Artifact removal technique has been evaluated by DSNR, Lambda (λ), Autocorrelation and PSD. The results pronounce the eligibility of proposed algorithm to stand on top of currently deployed algorithms with 12% improvement in DSNR and alsoa significant improvement in different parameters too.
As Easy As Vanda, Two, Three: Components for Machine Translation Based on Formal Grammars

Machine Translation is the task of enabling computers to translate text from one language into another. Statistical Machine Translation (SMT), in particular, applies methods from Statistics and Machine Learning to automatically select a translation function that performs well on existing translations, with the hope that it will also perform well on new sentences. In recent years a lot of research has focused on using formal grammars and related formalisms for specifying translation functions. Among those are synchronous context-free grammars [1, 5], synchronous tree-substitution grammars [10], synchronous tree-adjoining grammars [27, 8], synchronous tree-sequence-substitution grammars [30], extended top-down tree-to-string transducers [16, 14, 12], and multi-bottom-up tree transducers [11, 22]. In principle, these formalisms are amenable to formal treatment, just like weighted string automata and weighted string transducers. The latter possess a rich theory with results about closure properties, characterizations, complexity and decidability. Building on that strong foundation, there is a versatile algorithmic toolbox, as witnessed by [24, 25, 2]. In conjunction, the theory and the toolbox allow for effective algebraic specification and subsequent implementation of tasks in areas such as speech recognition [26] and morphology [15]. However, in the SMT realm, this kind of comprehensive formal treatment has yet to happen. Most of the formalisms named above have been defined ad-hoc, so as to build a translation system which can be evaluated.1 Core algorithms employed in those systems are often monolithic, and they are implemented in thousands of lines of code, as witnessed by open-source systems such as Moses [19], Joshua [21], or cdec [9]. The source code of most research systems, including Hiero [6], is not available. Being aware of weighted string automata and weighted string transducers, the community does indeed express a desire for algebraic specification [18]. In fact, it has been shown that the string devices can be employed for central algorithms [17, 7]. Moreover, May and Knight made an effort to develop a toolkit, named Tiburon [23], for extended top-down tree transducers. However, it has not been employed for building research SMT systems. In the long run, we intend to provide components for (partial) algebraic specification of research SMT systems with our system Vanda, which shall rest on three columns:
Diffusion Gravity: An Heuristic Model

The evidence from quantum vacuum research suggests that virtual particles may play a much larger role in gravity than previously attributed. Far from being an empty “stage” or blank slate, the vacuum is an active agent in the transmission of energy (photons), and therefore should also serve as the active medium through which gravity works. The model presented here integrates key concepts of an active quantum vacuum and the fundamental physical process of mass diffusion to provide a prime motivator of gravity as well as the key mechanism for the gravitational force.
Extended Poisson Models for Count Data With Inflated Frequencies

EXTENDED POISSON MODELS FOR COUNT DATA WITH INFLATED FREQUENCIES Monika Arora Old Dominion University, 2018 Director: Dr. N. Rao Chaganty Count data often exhibits inflated counts for zero. There are numerous papers in the literature that show how to fit Poisson regression models that account for the zero inflation. However, in many situations the frequencies of zero and of some other value k tends to be higher than the Poisson model can fit appropriately. Recently, Sheth-Chandra (2011), Lin and Tsai (2012) introduced a mixture model to account for the inflated frequencies of zero and k. In this dissertation, we study basic properties of this mixture model and parameter estimation for grouped and ungrouped data. Using stochastic representation we show how the EM algorithm can be adapted to obtain maximum likelihood estimates of the parameters. We derive the observed information matrix which yields standard errors of the EM estimates using ideas from Louis (1982). We also derive asymptotic distributions to test significance of the inflation points. We use real life examples to illustrate the procedure of fitting our model via EM algorithm. The second part of this dissertation deals with a generalization of this mixture model where the one parameter Poisson distribution is replaced by a two parameter Conway-Maxwell-Poisson (CMP) distribution, which unlike the Poisson distribution accounts for both over and underdispersion in the count data. The CMP distribution has recently gained popularity, and a CMP model for zero inflated count data was introduced by Sellers and Raim (2016). We discuss properties of the CMP distribution and propose a new mixture distribution, namely zero and k inflated Conway-Maxwell-Poisson (ZkICMP) to address inflated counts with over and underdispersions. We develop regression models based on ZkICMP and discuss parameter estimation using analytical and numerical methods. Finally, we compare goodness of fit of inflated and standard models on simulated and real life data examples.
Multi‐target detection and grasping control for humanoid robot NAO

Graspirng objects is an important capability for humanoid robots. Due to complexity of environmental and diversity of objects, it is difficult for the robot to accurately recognize and grasp multiple objects. In response to this problem, we propose a robotic grasping method that uses the deep learning method You Only Look Once v3 for multi‐target detection and the auxiliary signs to obtain target location. The method can control the movement of the robot and plan the grasping trajectory based on visual feedback information. It is verified by experiments that this method can make the humanoid robot NAO grasp the object effectively, and the success rate of grasping can reach 80% in the experimental environment.
Analysis of linear asynchronous hybrid stochastic systems and its application to multi-agent systems with Markovian switching topologies

ABSTRACT This paper studies the stability and stabilisation of a class of asynchronous hybrid stochastic systems described by linear Markov jump systems with asynchronous parameters induced by hysteretic mode and input delay. By exploring the essential properties of the Markov chain and developing novel Lyapunov function/functional based approaches, we derive sufficient conditions in terms of sizes of the delays ensuring the mean square asymptotical stability of the systems. Interestingly, the Lyapunov functional based approach further leads to the mean square stability criteria that depend only on the drift part and allow an arbitrary large delay for the diffusion part, which is different from the Lyapunov-Razumikhin based results. The theoretical results are applied to solve the consensus problems of multi-agent systems with Markovian switching topologies and input delay. Numerical examples demonstrate the established results.
A Design of Compact Ultrawideband Circularly Polarized Microstrip Patch Antenna

As it is well known, microstrip patch antennas are commonly used, because they are compact and it is easy to achieve a unidirectional radiation pattern with circular polarization. However, the bandwidth of patch antennas is quite narrow, which limits their use in ultrawideband (UWB) applications. In this communication, a wideband enhancement method based on a multimode analysis of patch antennas is proposed. By adding suitable shorting loads on the patch, the resonance frequency of the higher order modes TM<sub>20</sub>, TM<sub>30</sub>, TM<sub>40</sub>, and TM<sub>50</sub> is decreased and combined with the dominant mode (TM<sub>10</sub>) one. These five modes provide a wide operating band. Using this bandwidth enhancement method, a compact UWB patch antenna with unidirectional radiation pattern and circular polarization is designed. The size of the patch is only <inline-formula> <tex-math notation="LaTeX">$0.5\lambda _{0} \times 0.5\lambda _{0}$ </tex-math></inline-formula> and the height is only <inline-formula> <tex-math notation="LaTeX">$0.1\lambda _{0}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$\lambda _{0}$ </tex-math></inline-formula> is the free space wavelength at the center frequency). The simulation and measured results show that the proposed antenna has a bandwidth of 85% for S<sub>11</sub> < −10 dB and realized RHCP gain >6 dBic from 2.2 to 5.5 GHz. The proposed design method is suitable for UWB CP patch antenna applications.
Context Similar Diversification of Keyword Search Results using Different Approaches

To gain knowledge one of the easiest and nearest solution nowadays is search your problem on internet. User needs solution in just no time. Basic solution to this is searching process. Searching can be done through keyword hunt. If user fires a query using multiple keywords or sentence it becomes quietly easy to get result which is contextually similar to fired query. But when search query is a single word, system has more chances of getting ambivalent or vague search results while considering context similarity scenario. Paper considers single keyword search and results into accurate outcome of related candidate queries. For that paper suggests four different approaches which refer to left and right context which leads to calculate occurrence of keywords, namely baseline solution, anchor pruning approach, naive based mapping approach and advanced filtering approach. System moderately adds complexity to dataset and concludes for better results like time, accuracy and efficiency.
H∞ Filtering for Nonhomogeneous Markovian Jump Repeated Scalar Nonlinear Systems With Multiplicative Noises and Partially Mode-Dependent Characterization

This paper investigates the <inline-formula> <tex-math notation="LaTeX">$H_\infty $ </tex-math></inline-formula> filtering problem for nonhomogeneous Markovian jump repeated scalar nonlinear systems with multiplicative noises and partially mode-dependent (PM) characterization. A new PM <inline-formula> <tex-math notation="LaTeX">$H_\infty $ </tex-math></inline-formula> filter is proposed, which guarantees the stochastic stability of the filtering error systems. The transition probabilities (TPs) of the nonhomogeneous Markovian process are assumed to be polytopic and the probability for successful transmission of mode information is characterized by a Bernoulli distributed sequence. By constructing the Lyapunov functional method, the existence conditions of filter are presented. Finally, the efficiency of the obtained results for PM <inline-formula> <tex-math notation="LaTeX">$H_\infty $ </tex-math></inline-formula> filter are demonstrated by an economic system example.
Analyses of anomalous amplitudes of antipodal PKIIKP waves

Approaching the distance of 180°, seismic focusing greatly amplifies the normally weak PKIIKP phase (underside reflection from the inner core boundary). Anomalously strong amplitudes of the PKIIKP phase reported previously at near antipodal distances (at seismic station TAM in North Africa) have been interpreted to infer anomalous structure(s) of the inner core boundary (including a sharp drop of compressional wave speed in the bottommost outer core or a near‐zero shear wave speed in the topmost inner core). However, our observations of 12 earthquakes located antipodal to TAM (including the previously cited four events) suggest, for several reasons, that the anomalous PKIIKP energy might be a seismic phase misidentification. The anomalous phase appeared at distances less than 179.6° but not at larger distances (~179.8°). The phase appears consistently from antipode to distances less than 160° and has horizontal slowness similar to the PKIKP phase (going straight through the inner core). Its travel times vary greatly and show a systematic difference between two groups of events at different distances. A simple point scatter provides a good match to the travel times and the systematic variation of the anomalous phase at most stations, suggesting that it could originate from scattering off strong heterogeneities in the mantle wedge above the subducting Tonga slab. The phase misidentification suggests that the previously proposed inner core boundary structure(s) based on the anomalous phase need to be re‐evaluated.
Pressure Dependent Viscosity Model for Granular Media Obtained from Compressible Navier-Stokes Equations

The aim of this article is to justify mathematically, in the two-dimensional periodic setting, a generalization of a two-phase model with pressure dependent viscosity first proposed by A. Lefebvre-Lepot and B. Maury to describe a system in one dimension of aligned spheres interacting through lubrication forces. This model involves an adhesion potential, apparent only on the congested domain, which keeps track of history of the flow. The solutions are constructed (through a singular limit) from a compressible Navier-Stokes system with viscosity and pressure both singular close to a maximal volume fraction. Interestingly, this study can be seen as the first mathematical connection between models of granular flows and models of suspensions. As a by-product of this result, we also obtain global existence of weak solutions for a system of incompressible Navier-Stokes equations with pressure dependent viscosity, the adhesion potential playing a crucial role in this result.
Application of Multiple Stations Passive Position Technology in Local Position Network

Multiple stations TDOA positioning scheme is a precise position method.It is carried out by processing the signal gathered by the stations.This paper puts forward a method to construct a local positioning network based on the TDOA multiple stations cell positioning system.It introduces the principle of TDOA passive positioning,synchronization technology,the placement of cell observation stations,precise positioning algorithm,network construction and hand-off between cells.
Optical cluster-state generation with unitary averaging

Cluster states are the essential resource used in the implementation of Fusion-based quantum computation (FBQC). We introduce a method to generate high-fidelity optical cluster states by utilising the concept of unitary averaging. This error averaging technique is entirely passive and can be readily incorporated into the proposed PsiQuantum's FBQC architecture. Using postselection and the redundant encoding of Fusion gates, we observe an enhancement in the average fidelity of the output cluster state. We also show an improvement in the linear optical Bell-state measurement (BSM) success probability when the BSM is imperfect.
Local Quantum Uncertainty of a Two-Qubit Xy Heisenberg Model with Different Dzyaloshinskii-Moriya Couplings

This study investigates the local quantum uncertainty (LQU) of a two--qubit Heisenberg XY chain with different directions of Dzyaloshinskii--Moriya (DM) interactions. The DM interaction parameters and coupling coefficient $J$ are demonstrated to be beneficial in managing correlation. The DM interaction's x--axis parameter has more influence on correlation than the DM interaction's z--axis. As a result, adjusting the direction of the DM interaction may be capable of producing a more efficient operation to improve the correlation.
KONSERVASI ENERGI SISTEM TATA UDARA BANGUNAN GEDUNG HOTEL BERDASARKAN KONDISI IKLIM MIKRO KOTA MAKASSAR

Keberadaan bangunan gedung hotel di Makassar sangat ditunjang oleh keadaan iklim Kota Makassar yaitu beriklim tropis basah. Terdapat curah hujan yang signifikan di sebahagian bulan dalam setahun. Fungsi selubung bangunan secara eksternal dalam penataan bangunan gedung hotel untuk menentukan kriteria konservasi energi yang menjadi pertimbangan dalam proses desain suatu bangunan hote. Karena itu perlu dipikirkan adanya cara untuk mengurangi beban eksternal seperti mengikuti aturan badan Standar Nasional Indonesia dalam menentukan kriteria desain selubung bangunan yang dinyatakan dalam harga alih termal menyeluruh di mana OTTV yang diperlukan < 45 Watt/m2. Pendekatan penelitian ini adalah mix antara metode kualitatif dan metode kuantitatif. Lokasi penelitian di Kota Makassar, dengan alasan di kota ini peneliti menetap dan peneliti mengamati banyaknya bermunculan bangunan gedung hotel yang menjadi daya tarik untuk diamati berkaitan dengan konservasi energi sistem tata udara. Teknik analisis data yang digunakan dalam penelitian ini terdiri atas dua yaitu analisis deskriptif kualitatif, selubung bangunan gedung, beban pendinginan dan kenyamanan termal. Hasil penelitian menemukan konservasi energi sistem tata udara telah digunakan pada kelima bangunan hotel. Penganalisaan efisiensi kontrol konservasi hemat energi sistem tata udara pada kelima bangunan hotel ditentukan oleh analisa beban pendingin yang digunakan baik beban panas internal maupun eksternal. Efisiensi pengontrolan konservasi hemat energi belum diterapkan dengan baik karena penggunaan energi AC dilakukan setiap hari, hanya bisa diefisienkan penggunaannya sesuai dengan kamar yang terisi. Kenyamanan termal atas penggunaan konservasi energi sistem tata udara dari kamar hunian telah bersesuaian dengan standar SNI 6390:2011.