Miracle-dz/UniFAR-FTUs huggingface dataset:
A low profile miniature RFID tag antenna dedicated to IoT applications

ABSTRACT RFID tag antennas with stable performance on the diverse electromagnetic mounting platforms are an integral part of the ubiquitous RFID systems. This research article presents a novel tag antenna design that facilitates the said objective. The proposed antenna consists of a modified H-shaped slot structure that ensures considerable robustness from the application environment through confining the surface current density within the antenna structure. The antenna offers a tunable bandwidth of 40 MHz within the microwave band of (2.4–2.5) GHz. The proposed tag antenna exhibits excellent response on metallic platforms of different sizes and thicknesses with an effective gain of almost four times of that in free space. Furthermore, the designed tag antenna performs adequately well on low–medium permittivity dielectrics (glass, paper, and plastic) and RF absorbers (water). The free space and on-metal performance of the proposed tag antenna are verified by testing a prototype realized on the FR4 substrate.
Experimental study on dominant vortex structures in near-wall region of turbulent boundary layer based on tomographic particle image velocimetry

Vortex structures are very popular research objects in turbulent boundary layers (TBLs) because of their prime importance in turbulence modelling. This work performs a tomographic particle image velocimetry measurement on the near-wall region ( $y<0.1\unicode[STIX]{x1D6FF}$ ) of TBLs at three Reynolds numbers $Re_{\unicode[STIX]{x1D70F}}=1238$ , 2286 and 3081. The main attention is paid to the wall-normal evolution of the vortex geometries and topologies. The vortex is identified with swirl strength ( $\unicode[STIX]{x1D706}_{ci}$ ), and its orientation is recognized by using the real eigenvector of the velocity gradient tensor. The vortex inclination angles in the streamwise–wall-normal plane and in the streamwise–spanwise plane as functions of wall-normal positions are investigated, which provide useful information to speculate on the three-dimensional shape of the vortex tubes in a TBL. The difference between the orientations of vorticity and swirl is discussed and their inherent relationship is revealed based on the governing equation of vorticity. Linear stochastic estimation (LSE) is further deployed to directly extract three-dimensional vortex models. The LSE velocity fields for ejection events happening at different wall-normal positions shed light on the evolution of the topologies for the vortices dominating ejection events. LSE based on a centred prograde spanwise vortex provides a typical packet model, which indicates that the population density of the packets in a TBL is large enough to leave footprints in conditionally averaged flow fields. This work should help to settle the severe debate on the existence of packet structures and also lays some foundation for the TBL model theory.
Algebraic and combinatorial aspects of incidence groups and linear system non-local games arising from graphs

To every linear binary-constraint system (LinBCS) non-local game, there is an associated algebraic object called the solution group. Cleve, Liu, and Slofstra showed that a LinBCS game has a perfect quantum strategy if and only if an element, denoted by J , is non-trivial in this group. In this work, we restrict to the set of graph-LinBCS games, which arise from Z2-linear systems Ax = b, where A is the incidence matrix of a connected graph, and b is a (non-proper) vertex 2-colouring. In this context, Arkhipov’s theorem states that the corresponding graph-LinBCS game has a perfect quantum strategy, and no perfect classical strategy, if and only if the graph is non-planar and the 2-colouring b has odd parity. In addition to efficient methods for detecting quantum and classical strategies for these games, we show that computing the classical value, a problem that is NP-hard for general LinBCS games can be done efficiently. In this work, we describe a graph-LinBCS game by a 2-coloured graph and call the corresponding solution group a graph incidence group. As a consequence of the Robertson-Seymour theorem, we show that every quotient-closed property of a graph incidence group can be expressed by a finite set of forbidden graph minors. Using this result, we recover one direction of Arkhipov’s theorem and derive the forbidden graph minors for the graph incidence group properties: finiteness, and abelianness. Lastly, using the representation theory of the graph incidence group, we discuss how our graph minor criteria can be used to deduce information about the perfect strategies for graph-LinBCS games.
Orbital parameters and period variation studies of the short-period eclipsing binaries FG Sct, VZ Lib and VZ Psc

We present eight sets of new light curves for binaries FG Sct, VZ Lib and VZ Psc, which are all contact eclipsing binaries with short orbital periods. We carried out our observations from 2016 to 2017 using the 60-cm telescope administered by National Astronomical Observatories, Chinese Academy of Sciences, the Holcomb Observatory at Butler University and the SARA-CT telescope in Chile. We firstly determined the orbital parameters of FG Sct using the O − C method and obtained photometric solutions utilizing the updated W-D program. We also studied its period variation and discovered that its orbital period is decreasing at a rate of 6.39(±0.24) × 10−8 d yr−1, which was likely caused by mass transfer from the primary component to the secondary component or angular momentum interchange between the two components via magnetic interactions. For VZ Lib and VZ Psc, we simultaneously analyzed their BV RI light curves in conjunction with the published radial velocities. In order to obtain the orbital parameters of VZ Lib, we also analyzed its period variation and revised cyclic change, which could be attributed to either the light-time effect due to a tertiary companion or magnetic activity cycle mechanism. We derived the periods of the tertiary component of VZ Lib to be 48.7(±0.1) yr or magnetic cycle to be 46.9(±1.9) yr. Strong emission lines at Ca ii H+K, Hα, Hβ, Hγ and Ca ii IRT were detected in the LAMOST spectra of VZ Psc, which imply chromospheric activities in this binary system.
Set Stabilization of Boolean Control Networks With Impulsive Effects: An Event-Triggered Approach

This brief investigates the set stabilization of Boolean control networks (BCNs) with impulsive effects via event-triggered control (ETC) scheme. An algorithm is designed to find the largest control invariant set, then its efficiency is authenticated. An interesting phenomenon is that some states may leave from the control invariant set at impulsive time steps. Afterward, a necessary and sufficient criterion is derived to determine the set stabilization of event-triggered controlled BCNs with impulsive effects. Finally, a biological example is given to illustrate the obtained results.
Caractérisation d'aptamères par électrophorèse capillaire couplée au séquençage haut-débit Illumina

Les aptameres sont des oligomeres d'ADN ou d'ARN simple brin qui, en se repliant sous forme de structures tridimensionnelles peuvent avoir des interactions fortes et specifiques envers un certain nombre de cibles. L'objectif de cette these a ete de completer les etudes existantes sur l'utilisation de l'electrophorese capillaire (CE) et les aptameres afin de mettre au point une methode de selection d'aptameres par CE couplee a la fluorescence induite par laser et le sequencage haut-debit Illumina. Dans un premier temps, nous avons mis au point une methode de detection et de separation par electrophorese capillaire couplee a la double detection UV-LEDIF d'une banque d'ADN en interaction avec une cible : la thrombine. C'est un modele deja etudie pour lequel deux aptameres ont fait l'objet de publications. Nous avons utilise l'aptamere T29 dans le cadre de notre etude car c'est celui qui presente la meilleure affinite. L'electrophorese capillaire est un puissant outil analytique qui facilite l'efficacite de selection des aptameres et precise la determination des parametres d'interactions. Nous avons ainsi pu determiner la constante d'affinite KD par CE-UV-LEDIF sur le modele de base : la thrombine. Par ailleurs, nous montrons egalement comment l'utilisation du tampon Tris peut degrader un ADN simple brin en electrophorese capillaire et nous proposons comme alternative l'utilisation d'un tampon sodium phosphate dibasique qui evite ce phenomene de degradation. Enfin, nous expliquons la difficulte d'amplification par qPCR et PCR d'un aptamere comme le T29 ayant une structure en G-quadruplex. Nous avons montre que le sequencage haut-debit Illumina nous a permis de trouver une correlation entre le nombre de molecules sequencees et le nombre de sequences obtenues. L'analyse des sequences obtenues montre une quantite importante (20%) de sequences de T29 qui ne correspondent pas a la sequence de cet aptamere. Cela prouve que les etapes de PCR et de sequencage haut debit pour la detection de G-quadruplex peuvent induire un biais dans l'identification de ces molecules.
Nonconvex Time-Optimal Trajectory Planning for Robot Manipulators

Time-optimal motion-planning has been a topic of active research in the literature for a while. This paper presents a new approach for velocity profile generation, which is a subproblem in motion-planning. In the case of simplified constraints, profile generation can be translated to a convex optimization problem. However, some practical constraints (e.g., velocity-dependent torque, viscous friction) destroy the convexity. The proposed method can obtain the global optimum of the nonconvex optimization problem. The experimental results with a three degrees-of-freedom (DOF) robot manipulator are also presented in this paper.
Compact model for undoped symmetric double gate comprising quantization effect

In this paper we propose an analytical modification for Hu’s model which is an analytical model for undoped symmetric double gate MOSFETs. This modification targets to include the energy states quantization effect on the drain current. This leads to correct the model behavior for ultra thin double gate. Moreover, we introduce a simple method to include the velocity saturation effect in the current equation. Comparison with device simulator results is finally presented to validate the proposed modifications.
A Data Centric Security Cycle Model for Data Loss Prevention of Custodial Data and Company Intellectual Property

Review of data breach trends in the last five years reveal that data at rest, in use, and in motion, inside and over the extended network, is being increasingly affected. While organisations primarily focus on protecting sensitive customer financial information, the protection of custodial data and company secrets has been a back burner issue. Moreover, errors, mistakes and accidents on the part of the employees working/ travelling/ residing onsite and off-site with company media/data, have worsened the situation such that current technical and socio-technical controls are not adequate in preventing theft of media or the accidental or intentional misuse/loss of portable data. To overcome this issue, the security action cycle model of Straub and Welke (based on the general deterrence theory) is used as a theoretical lens to build a data centric security cycle model to safeguard the data that are “at rest, in motion and in use”. Finally, the paper discusses how the model can be further empirically validated using the updated IS success model of DeLone and McLean. Keywords-IS Security; data breaches; data centric security.
Observations of Anomalous X-ray Pulsar 1E2259+586 with the Rossi X-ray Timing Explorer

The observed persistent soft X-ray spectra (0.5 10 keV) of anomalous Xray pulsars (AXPs) can be explained by the magnetar model (Woods and Thompson et al., 2002 [3]) where the emission is powered by the decay of an extreme high magnetic field (≥ 10 G). Because these spectra are relatively soft, measurements above 10 keV were not expected to detect any hard X-rays. Surprisingly, observations with the Rossi X-ray Timing Explorer (RXTE) and INTEGRAL have shown that AXP sources can have so-called ‘hard spectral tails’ above 20 keV. In this research additional (not used in earlier spectral timing studies) data from RXTE of AXP 1E2259+586 are analyzed in the high-energy range (2 250 keV) to confirm or disprove the found indications by Kuiper et al. (2006, [4]) of the same hard spectral tail. In their work they find for other AXPs evidence for pulsed emission above 10 keV and present strong indications for a similar hard spectral tail in 1E2259+586. To obtain the pulse profiles in the high-energy range, timing models of the pulsar’s rotational behaviour have been constructed for the 2 4 keV energy band, in which the signal is strong. Analyzing RXTEs Proportional Counter Array (PCA) data from observations performed between October 28, 2003 and December 29, 2011, three different timing models have been constructed to describe the rotational behaviour during this period. The reason for this is the occurrence of two glitches (a star quake with an abrupt change in rotation frequency) at MJD 54190 ± 3.5 d and ∼54881. Using these newly derived timing models in the subsequent pulse phase folding analysis for the new observational data yielded again a strong indication (at a 3.3σ level) for pulsed emission from 1E2259+586 in the 16.3 32.0 keV band. However, a combination of the old and newly analyzed data covering the full RXTE mission period provides no decisive answer to the shape of the pulsed signal above ∼16 keV. Future observations with more sensitive instruments covering the hard X-ray/soft gamma-ray band like NuSTAR (3 80 keV) are required to reach firm conclusions about the existence of a hard spectral tail of 1E2259+586.
Innovonto: An Enhanced Crowd Ideation Platform with Semantic Annotation (Hallway Test)

Crowd ideation platforms provide a promising approach for supporting the idea generation process. Research has shown that presenting a set of similar or diverse ideas to users during ideation leads them to come-up with more creative ideas. In this paper, we describe Innovonto, a crowd ideation platform that leverages semantic web technologies and human collaboration to identify similar and diverse ideas in order to enhance the creativity of generated ideas. Therefore, the approach implemented captures first the conceptualization of users’ ideas. Then, a matching system is employed to compute similarities between all ideas in near real time. Furthermore, this technical report outlines the results obtained from the evaluation of Innovonto platform. The hallway study, conducted at our research group, allowed us to test each step of Innovonto platform as well as the proposed approach in assessing similarities between ideas. As results, we received 20 ideas and 23 feedbacks from 9 users. The analysis of the results shows good performance of Innovonto steps and confirms the findings of existing research.
Integration of light-weight semantics into a syntax query formalism

In the Computational Linguistics community, much work is put into the creation of large, high-quality linguistic resources, often with complex annotation. In order to make these resources accessible to non-technical audiences, formalisms for searching and filtering are needed, like the TIGER corpus query language. Recently, augmented treebanks have been published, including the SALSA corpus which features frame semantic annotation on top of syntactic structure. We design an extension for the TIGER language which allows searching for frame structures along with syntactic annotation. To achieve this, the TIGER ob ject model is expanded to include frame semantics, while remaining fully backwards-compatible and add these extensions to our own implementation of TIGER.
LiDAR Data Analysis for Automatic Region Segmentation and Object Classification

LIDAR DATA ANALYSIS FOR AUTOMATIC REGION SEGMENTATION AND OBJECT CLASSIFICATION Name: Varney, Nina Marie University of Dayton Advisor: Dr. Vijayan K. Asari Light Detection and Ranging, (LiDAR) presents a series of unique challenges, the foremost of these being object identification. Because of the ease of aerial collection and high range resolution, analysts are often faced with the challenge of sorting through large datasets and making informed decisions across multiple square miles of data. This problem has made automatic target detection in LiDAR a priority. A novel algorithm is proposed with the overall goal of automatic identification of five object classes within aerially collected LiDAR data: ground, buildings, vehicles, vegetation and power lines. The objective is divided into two parts: region segmentation and object classification. The segmentation portion of the algorithm uses a progressive morphological filter to separate the ground points from the object points. Next, the object points are examined and a Normal Octree Region Merging (NORM) segmentation takes place. This segmentation technique, based on surface normal similarities, subdivides the object points into clusters. Next, for each cluster of object points, a Shape-based Eigen Local Feature (SELF) is computed. Finally, the features are used as the input iii to a cascade of classifiers, where four individual support vector machines (SVM) are trained to distinguish the object points into the remaining four classes. The ability of the algorithm to segment points into complete objects and also classify each point into its correct class is evaluated. Both the segmentation and classification results are compared to datasets which have been manually ground-truthed. The evaluation demonstrates the success of the proposed algorithm in segmenting and distinguishing between five classes of objects in a LiDAR point cloud. Future work in this direction includes developing a method to identify the volume changes in a scene over time in an effort to provide further contextual information about a given area.
Análise de comportamento do usuário em redes sociais veiculares

A participacao em redes sociais pode fornecer significativa quantidade de dados sobre usuarios e o ambiente que os cerca. Quando adequadamente processados, esses dados podem ser usados como uma importante fonte de informacao sobre o comportamento humano, se oferecerem informacoes confiaveis e de qualidade. Neste trabalho, usamos uma rede social veicular com o principal objetivo de avaliar o impacto de fatores externos sobre os usuarios presentes nesses ambientes atraves de suas contribuicoes na rede. Verifica-se como a velocidade do usuario e o atraso da publicacao influenciam na confiabilidade atribuida aos alertas. Estuda-se a tendencia de melhora ou degradacao da confiabilidade de cada usuario. Observa-se a associacao entre pares de alerta que ocorrem em uma mesma rua. Verifica-se tambem o intervalo de contribuicoes consecutivas de cada usuario e a relacao de intervalo de tempo entre sua primeira e a ultima contribuicao. Os resultados foram obtidos atraves de um conjunto de dados publico do aplicativo Waze, disponibilizado na Internet. Foi descoberto que os alertas mais postados sao sobre congestionamentos, e que usuarios o fazem principalmente nas horas de pico em dias uteis e durante a tarde nos fins de semana. Percebeu-se que os usuarios que se movem em velocidades mais elevadas nao contribuem para a rede e postagens que apresentam maiores atrasos para serem publicadas na rede sao mal avaliadas. Alem disso, percebeu-se tambem significativa associacao entre alertas de risco climatico e congestionamento. Por fim, foi possivel notar que o intervalo entre as contribuicoes de cada usuario tem uma media de 10 minutos e nao sao feitas diariamente a rede social, mas quando o fazem, o intervalo de tempo entre os alertas possui um crescimento linear.
Application of Gaussian as Edge Detector for Image Enhancement of Ancient Manuscripts

Binarization is an essential step for the Digitization of Ancient Manuscript images. Degradations in the manuscripts, such as, uneven light, low complexity, smears and high noise densities frequently make thresholding of the manuscript images a troublesome task. The purpose of study is to preserve the information contained in documents in digital form. To improve the accuracy of machine reading for camera-based Manuscript images, a simple and novel approach has been proposed based on Difference of Gaussians: a second order edge detector, followed by modified Niblack’s local thresholding. The proposed strategy has been correlated with existing techniques. The numerical result stating average PSNR value 19.21dB validates that the performance of proposed method is superior to other five well known binarization techniques.
Toward a Stochastic Relaxation for the Quasi‐Equilibrium Theory of Cumulus Parameterization: Multicloud Instability, Multiple Equilibria, and Chaotic Dynamics

The representation of clouds and organized tropical convection remains one of the biggest sources of uncertainties in climate and long‐term weather prediction models. Some of the most common cumulus parameterization schemes, namely, mass‐flux schemes, rely on the quasi‐equilibrium (QE) closure, which assumes that convection consumes the large‐scale instability and restores large‐scale equilibrium instantaneously. However, the QE hypothesis has been challenged both conceptually and in practice. Subsequently, the QE assumption was relaxed, and instead, prognostic equations for the cloud work function (CWF) and the cumulus kinetic energy (CKE) were derived and used. It was shown that even if the CWF kernel serves to damp the CWF, the prognostic system exhibits damped oscillations on a timescale of a few hours, giving parameterized‐cumulus‐clouds enough memory to interact with each other, with the environment, and with stratiform anvils in particular. Herein, we show that when cloud‐cloud interactions are reintroduced into the CWF‐CKE equations, the coupled system becomes unstable. Moreover, we couple the CWF‐CKE prognostic equations to dynamical equations for the cloud area fractions, based on the mean field limit of a stochastic multicloud model. Qualitative analysis and numerical simulations show that the CKE‐CWF‐cloud area fraction equations exhibit interesting dynamics including multiple equilibria, limit cycles, and chaotic behavior both when the large‐scale forcing is held fixed and when it oscillates with various frequencies. This is representative of cumulus convection variability, and its capability to transition between various regimes of organization at multiple scales and regimes of scattered convection, in an intermittent and chaotic fashion.
High inter‐port isolation dual circularly polarized slot antenna with interdigital capacitor

A planar dual circularly polarized slot antenna is presented. The designed antenna has two tilted “8” shaped slots fed by microstrip lines, one each for transmission (TX) and reception (RX) operations. The isolation between the two ports (TX and RX) is augmented by means of an interdigital capacitor based bandstop filter. The proposed antenna has an impedance bandwidth of 361 MHz centered at 2.293 GHz (2.113‐2.474 GHz) with the isolation between the ports being >17.6 dB which goes up to a value as high as 46 dB within the band of operation. The 3 dB axial ratio (AR) bandwidth is 11.52% centered at 2.1275 GHz (2.005‐2.25 GHz). Because of its high inter‐port isolation within the AR bandwidth, the design is suitable as a full‐duplex antenna for applications in S‐band.