Miracle-dz/UniFAR-FTUs huggingface dataset:
Does the Hand Anthropometric Dimension Influence Touch Interaction?

ABSTRACT Amid the increasing popularity of smartphones fitted with touch screens, many studies have been conducted on touch screen input methods. In contrast to standardized stylus pens, the size and anthropometric features of the fingers can be vastly different depending on the person. These features significantly impact the touch screen’s usability for an individual. In this paper, the relationship between the anthropometrical dimensions of the thumb (i.e., length, breadth) and touch task performance was analyzed. Based on the results, subjects with relatively longer fingers required more time on average to complete the task. However, no correlation was evident between the thumb length and number of errors, or among the thumb breadth, task completion time, and error frequency. The results of this study are expected to be useful in the development of a mobile interface that considers the specific features of the user’s thumb.
Explicit nonlinear model predictive control tracking control based on a sliding mode observer for a quadrotor subject to disturbances

In this paper, we propose an explicit nonlinear model predictive control (ENMPC) method based on a robust observer to solve the trajectory tracking problem for outdoor quadrotors. We take into consideration the external aerodynamic disturbances present in the dynamics of the Newton-Euler quadrotor model. To overcome the effects of these disturbances, a high gain observer combined with a first order sliding mode observer are proposed to estimate both the states and the unknown disturbances using the only positions and angular measurements of the quadrotor. The estimated signals are then used by the predictive controller in order to ensure the trajectory tracking objective. Despite the presence of bounded disturbances, the convergence of the composite controller (ENMPC technique with the latter observers) is guaranteed through a stability analysis. Theoretical results are validated with some numerical simulations showing the good performances of the proposed tracking control approach.
Numerical Simulation of a Multiscale Cell Motility Model Based on the Kinetic Theory of Active Particles

In this work, we deal with a kinetic model of cell movement that takes into consideration the structure of the extracellular matrix, considering cell membrane reactions, haptotaxis, and chemotaxis, which plays a key role in a number of biological processes such as wound healing and tumor cell invasion. The modeling is performed at a microscopic scale, and then, a scaling limit is performed to derive the macroscopic model. We run some selected numerical experiments aimed at understanding cell movement and adhesion under certain documented situations, and we measure the alignment of the cells and compare it with the pathways determined by the extracellular matrix by introducing new alignment operators.
Random Number Generators Based on Irregular Sampling and Fibonacci–Galois Ring Oscillators

This brief presents a random number generator (RNG) based on irregular sampling of regular waveform method where the irregular signal is obtained by combining Fibonacci-Galois ring oscillators with an XOR gate. The RNG is implemented on a FPGA (field-programmable gate array). The regular waveform generated by the digital clock manager of the FPGA, is sampled at times corresponding to certain number of rising edges of the irregular signal, and the resulting bit stream is subjected to statistical tests of randomness. It is demonstrated that the resulting bit sequence from the proposed RNG satisfies NIST 800–22 test suit and Rabbit and SmallCrush batteries from TestU01 library without any need for post-processing such as Von Neumann or XOR. A comparison between the methods regular sampling of irregular waveform and irregular sampling of regular waveform is given in terms of robustness against external interference. The impact of selection of Fibonacci-Galois polynomials is discussed. Using digital design flow for TSMC 65nm process, an asic implementation of the proposed RNG is given having 1115 gates and 4.811 mW estimated power.
A greedy algorithm for partition of unity collocation method in pricing American options

A greedy algorithm in combination with radial basis functions partition of unity collocation (GRBF‐PUC) scheme is used as a locally meshless method for American option pricing. The radial basis function partition of unity method (RBF‐PUM) is a localization technique. Because of having interpolation matrices with large condition numbers, global approximants and some local ones suffer from instability. To overcome this, a greedy algorithm is added to RBF‐PUM. The greedy algorithm furnishes a subset of best nodes among the points X. Such nodes are then used as points of trial in a locally supported RBF approximant for each partition. Using of greedy selected points leads to decreasing the condition number of interpolation matrices and reducing the burdensome in pricing American options.
Superpixel-based video saliency detection via the fusion of spatiotemporal saliency and temporal coherency

Abstract. We advocate a model to effectively detect salient objects in various videos; the proposed framework [spatiotemporal saliency and coherency, (STSC)] consists of two modules, for capturing the spatiotemporal saliency and the temporal coherency information in the superpixel domain, respectively. We first extract the most straightforward gradient contrasts (such as the color gradient and motion gradient) as the low-level features to compute the high-level spatiotemporal gradient features, and the spatiotemporal saliency is obtained by computing the average weighted geodesic distance among these features. The temporal coherency, which is measured by the motion entropy, is then used to eliminate the false foreground superpixels that result from inaccurate optical flow and confusable appearance. Finally, the two discriminative video saliency indicators are combined to identify the salient regions. Extensive quantitative and qualitative experiments on four public datasets (FBMS, DAVIS, SegtrackV2, and ViSal dataset) demonstrate the superiority of the proposed method over the current state-of-the-art methods.
Ultrawideband circularly polarized antenna with dual band‐notched characteristics

This article presents an ultrawideband (UWB) crossed dipole antenna with circularly polarized (CP) and dual band‐notched characteristics. The proposed design is based on two orthogonal tapered dipoles for UWB CP operation and a square‐shaped cavity for high broadside gain over the entire operating bandwidth (BW). To generate dual band‐notched characteristics, two separated slots are inserted into each dipole's arm. This antenna yields measured impedance BW of 100% (3.2‐9.6 GHz) with dual‐band rejection centered at 5.2 and 5.8 GHz. Correspondingly, dual rejected bands are also observed in the original UWB CP band, which ranges from 3.2 to 8.2 GHz. Additionally, the proposed antenna exhibits high broadside gains better than 6.2 dBic and radiation efficiency greater than 82%.
Overlapping Multi-Domain Spectral Method for Conjugate Problems of Conduction and MHD Free Convection Flow of Nanofluids over Flat Plates

An efficient overlapping multi-domain spectral method is used in the analysis of conjugate problems of heat conduction in solid walls coupled with laminar magnetohydrodynamic (MHD) free convective boundary layer flow of copper (Cu) water and silver (Ag) water nanofluids over vertical and horizontal flat plates. The combined effects of heat generation and thermal radiation on the flow has been analyzed by imposing a magnetic field along the direction of the flow to control the motion of electrically conducting fluid in nanoscale systems. We have assumed that the nanoparticle volume fraction at the wall may be actively controlled. The dimensionless flow equations are solved numerically using an overlapping multi-domain bivariate spectral quasilinearisation method. The effects of relevant parameters on the fluid properties are shown graphically and discussed in detail. Furthermore, the variations of the skin friction coefficient, surface temperature and the rate of heat transfer are shown in graphs and tables. The findings show that the surface temperature is enhanced due to the presence of nanoparticles in the base fluid and the inclusion of the thermal radiation, heat generation and transverse magnetic field in the system. An increase in the nanoparticle volume fraction, heat generation, thermal radiation, and magnetic field parameter enhances the nanofluid velocity and temperature while reducing the heat transfer rate. The results also indicate that the Ag–water nanofluid has higher skin friction and surface temperature than the Cu–water nanofluid, while the opposite behaviour is observed in the case of the rate of heat transfer. The computed numerical results are compared with previously published results and found to be in good agreement.
Application Development To Manage Data And Information On Lettuce Production Companies

As a producer of lettuce plants, the company X (as a case object) needs to improve the information system more effectively and efficiently in order to support the increase of production. Therefore, it is necessary to build a management information system that provides information quickly and accurately. The implementation of this research using Waterfall Method. This research begins with the analysis of the needs of all users, then designing data flow diagrams, designing databases using SQL, entity relationship diagrams, normalization, the latter is the design of information structures including user interfaces. After that done programming activities using PHP programming language. This app is verified and validated. The information needs of the company are as follows: There are four parties as users of the information system; Information should be submitted and accessible as soon as possible; The manager can view the information of each division; To each division and vice versa; Managers can monitor the service level of marketing division and division of production; Each division can manage data; There needs to be model information about the agenda of each division. The app provides a shared menu for admins and users. Users are managers, marketing divisions, production divisions, and home packaging divisions. Each user has the same menu ie homepage, schedule, and reports. As for the manager plus menu monitoring. The final application prototype gives users satisfactory results. Each user is also given a menu to manage the database with features: inserting, searching, editing, and deleting data. The database comes with a dynamic and flexible user interface as a medium of data exchange and information between relevant divisions and media support in decision-making at the managerial level. Keywords — lettuce production, lettuce production database, production information system
Edge-Based Stochastic Gradient Algorithm for Distributed Optimization

This paper investigates distributed optimization problems where a group of networked nodes collaboratively minimizes the sum of all local objective functions. The local objective function of each node is further set as an average of a finite set of subfunctions. This adjustment is motivated by machine learning problems with large training samples distributed and known privately to individual computational nodes. An augmented Lagrange (AL) stochastic gradient algorithm is presented to address the distributed optimization problem, which is integrated with the factorization of weighted Laplacian and local unbiased stochastic averaging gradient methods. At each iteration, only one randomly selected gradient of a subfunction is evaluated at a node, and a variance-reduced stochastic averaging gradient technique is applied to approximate the gradient of local objective function. Strong convexity of the local subfunction and Lipschitz continuity of its gradient are shown to ensure a linear convergence rate of the proposed algorithm in expectation. Numerical experiments on a logistic regression problem demonstrate the correctness of theoretical results.
Heavy resonance searches at the FCC-hh

The physics reach and feasibility of the Future Circular Colliders (FCC) are currently being investigated in the form of Conceptual Design Reports. The ultimate goal of FCC is to collide protons with a centre-of-mass energies of 100 TeV, thus extending the reach of the current HEP facilities. This high-energy regime opens new opportunities for the discovery of physics beyond the Standard Model (SM), but also for precise measurement of fundamental parameters of the SM. Following the LEP/LHC model, it is obvious that the first collider that should be operated, is an electron-positron machine, FCC-ee. It aims at collecting multi-ab$^{-1}$ integrated luminosities in $e^+e^-$ collisions at different center--of--mass energies, yielding $10^{12}$ Z bosons, $10^8$ W$^{+}$W$^{-}$ pairs, $10^6$ Higgs bosons and $10^6$ $t\bar{t}$ pairs. In these proceedings we explore the physics reach of the proton-proton Future Circular Collider (FCC-hh) for searches of new particles decaying to two high energetic leptons $l^{+}l^{-}$ ($l=e, \mu, \tau)$, jets (non-tops), tops and W/Z boson. We discuss the expected exclusion limits and discovery potential for benchmark models predicting new massive particles that result in resonant structures in the invariant mass spectrum. The study is based on large statistic samples of generated events processed through a parametric simulation of the expected performance of an FCC-hh detector. The center--of--mass energy of $\sqrt{s} =100$ TeV makes it the ultimate machine for such new heavy particles, and studying their characteristics is also extremely relevant to discuss the main limitations of the detector to precisely discriminate high energetic top-quarks or W/Z bosons from standard QCD-jets.
MUSCLE FORCE CONTRIBUTIONS TO GROUND REACTION FORCE PROFILES DURING BASKETBALL RELATED TASKS

The purpose of this study was to describe the contributions of individual leg muscles to the production of ground reaction forces (GRF) during basketball related tasks. One male and female college basketball player performed horizontal drop vertical jumps (DJ) and lateral side steps (SS). Motion capture and GRF data were recorded and used as inputs to an induced acceleration analysis to calculate the contribution of each muscle to the GRF during each task. Soleus and vasti muscle forces were the respective primary and secondary contributors to vertical GRF during the DJ. Forces from the vasti muscle group were also the primary contributor to posterior braking GRF during the DJ. Medial GRF during the SS were primarily the result of vasti and soleus muscle forces. Muscle force contributions to GRF did not differ markedly between players.
Bias Correction of Gauge Data and its Effect on Precipitation Climatology over Mainland China

Typical rain gauge measurements have long been recognized to underestimate actual precipitation. Long-term daily precipitation records during 1961–2013 from a dense national network of 2379 gauges were corrected to remove systematic errors caused by trace precipitation, wetting losses, and wind-induced undercatch. The corrected percentage was higher in cold seasons and lower in warm seasons. Both trace precipitation and wetting loss corrections were more important in arid regions than in wet regions. A greater correction percentage for wind-induced error could be found in cold and arid regions, as well as high wind speed areas. Generally, the annual precipitation amounts as well as the annual precipitation intensity increased to varying degrees after bias correction with the maximum percentage being about 35%. More importantly, the bias-corrected snowfall amount as well as the rainstorm amount increased remarkably by percentages of more than 50% and 18%, respectively. Remarkably, the total number of actual rainstorm events during the past 53 years could be 90 days more than the observed rainstorm events in some coastal areas of China. Therefore, the actual amounts of precipitation, snowfall, and intense rainfall were much higher than previously measured over China. Bias correction is thus needed to obtain accurate estimates of precipitation amounts and precipitation intensity.
Variable-Gain Second-Order Sliding Mode Controller With Globally Fixed-Time Stability Guarantees

In this brief, the globally fixed-time control problem is investigated for a general class of uncertain nonlinear systems. The novelties of this brief are two folds. One novelty lies in the propose of a novel variable-gain second-order sliding mode (SOSM) controller. It overcomes the principal shortcomings of first-order sliding mode control and makes it possible to achieve fixed-time stability. The conventional SOSM algorithms can only achieve finite-time stability whose settling time will grow unboundedly when the initial conditions tend to infinity. Another novelty is the extension of constant upper bounds to time-varying upper functions. This enables us to propose a global result, while only local results can be obtained in most of the existing literatures. It is indicated that the proposed novel variable-gain SOSM controller can achieve the establishment of SOSMs in a fixed-time independent of initial conditions. In addition, Lyapunov analysis is given to show that the closed-loop system is globally fixed-time stable. An application to variable-length pendulum is given.
Oracle Solaris 10 System Virtualization Essentials

Virtualization and related technologies like hypervisors, which create virtual machines on a single hardware machine, and containers (also known as zones), which create virtual operating systems running on a single operating system, are a totally new area for many system administrators. Oracle Solaris 10 System Virtualization Essentials provides an accessible introduction to computer virtualization, specifically the system virtualization technologies that use the Oracle Solaris or OpenSolaris operating systems. This accessible guide covers the key concepts system administrators need to understand and explains how to Use Dynamic Domains to maximize workload isolation on Sun SPARC systemsUse Oracle VM Server for SPARC to deploy different Oracle Solaris 10 and OpenSolaris environments on SPARC CMT (chip multithreading) systemsUse Oracle VM Server for x86 or xVM hypervisor to deploy a server with heterogeneous operating systemsUse Oracle VM VirtualBox to develop and test software in heterogeneous environmentsUse Oracle Solaris Containers to maximize efficiency and scalability of workloadsUse Oracle Solaris Containers to migrate Solaris 8 and Solaris 9 workloads to new hardware systemsMix virtualization technologies to maximize workload density Starting with a discussion of system virtualization in general termsthe needs of consolidation, the benefits of virtualization, and a description of the most common types of computer virtualizationthis book also covers many of the concepts, features, and methods shared by many implementations of system virtualization. Oracles computer virtualization technologies that are directly related to the Oracle Solaris OS are described in detail along with a discussion of the factors that should be considered when choosing a virtualization technology. Finally, several examples of these technologies and an overview of virtualization management software are provided, as well as a history of virtualization.
Robustness in Fingerprinting-Based Indoor Positioning Systems

Indoor positioning systems have received increasing attention for supporting location-based services in indoor environments. Received signal strength (RSS), mostly utilized in Wi-Fi fingerprinting systems, is known to be unreliable due to two reasons: orientation mismatch and variations in hardware. This chapter introduces an approach based on histogram equalization to compensate for orientation mismatch in robust Wi-Fi localization. The proposed method involves converting the temporal-spatial radio signal strength into a reference function (i.e., equalizing the histogram). This chapter also introduces an enhanced positioning feature, which is called delta-fused principal strength, to enhance the robustness of Wi-Fi localization against the problem of heterogeneous hardware. This algorithm computes the pairwise delta RSS and then integrates with RSS using principal component analysis. The proposed methods effectively and efficiently improve the robustness of location estimation in the presence of mismatch orientation and hardware variations, respectively.
Enhancement of the performance of bubble absorber using hybrid nanofluid as a cooled absorption system

Purpose The purpose of this paper is to investigate the enhancement of the performance of bubble absorber using hybrid nanofluid as a cooled NH3/H2O absorption system to reduce their size and to find the best fitting model. A numerical model for ammonia-water bubble absorber was developed to show the influence of operating conditions and design parameters on the absorber performance. Design/methodology/approach A finite difference numerical method is used to solve the numerical model. The model is subjected to the inlet conditions of liquid, vapor and coolant flow regimes. The absorber modeling was divided into small elements along the absorber length. Findings The model proposed is validated with previously published works. Then agreement between the both is considered as good. Research limitations/implications Numerical results/The use of hybrid nanofluids. Originality/value The results showed that the hybrid nanofluid is the best cooling medium. Very high heat transfer rates are obtained because of the high thermal conductivity and specific heat of hybrid nanofluid, and consequently, the absorber size decreases. It was also found that the absorber thermal load and the mass absorption flux increase with increasing of solid volume fraction. Also, the existence of an optimal absorber length was revealed, required for complete absorption when using hybrid nanofluid as a cooling medium. It is recommended that using hybrid nanofluid to remove the heat from the absorber is the best candidate for NH3/H2O absorption performance enhancement.
Microstructural Stability of Magnetorheological Fluids Based on Magnetic Energy Analysis

The minimum point determination method of the magnetic energy surface has been proposed on the basis of magnetic dipole theory in our study. This method can effectively explain the behaviors that the polydisperse magnetorheological fluids (MRFs) can form more complex chain-like structures and the magnetic energy of the particle system will decrease with the formation of the aggregations. The minimum points on the magnetic energy surface of two-particle and three-particle system are observed, and several kinds of stable microstructures are obtained by analyzing these points. Finally, both the stability and evolution mechanism of these microstructures have been explored based on the concept of the magnetic energy barrier. The results demonstrate that a minimum point on the magnetic energy surface of the particle system corresponds to a type of stable microstructure, and the migrations between the minimum points in the systematic magnetic energy phase space can be accounted for the mutual evolutions of these stable microstructures. The microstructural stability depends on the magnetic energy barrier height. For this reason, the microstructural evolution is more likely to appear when the barrier height is relatively low. In the case of sufficient perturbation, the particle system always evolves into the state with lower magnetic energy.