Miracle-dz/UniFAR-FTUs huggingface dataset:
Face recognition in night day using method eigenface

The recognition of a human face is one way to discover one's identity, because the facial structure is different from every human, but with little change in the face the results will be different. With this situation less light can reduce the accuracy of the results, especially at night, where the light is so minimal that even humans difficult to distinguish facial identity. For that reason then in this study will create a system that can recognize the identity of human face properly even at night. this requires image repair by using some image enhancements that can improve image quality. Using the eigenface method for recognition and image enhancement to improve the image, can improve the ability to recognize up to 50% from 0% or just can not function correctly.
Using Deep Learning for Community Discovery in Social Networks

Community detection is an important task in social network analysis. Existing methods typically use the topological information alone, and ignore the rich information available in the content data. Recently, some researchers have noticed that user profiles can also benefit to community detection, and hence the combination of topology and node contents has become a new hot topic. Some methods using both topology and content have been proposed. However, they often suffer from two drawbacks: 1) they cannot extract a potential deep representation of the network; 2) they cannot automatically weight different information sources with adequate balance parameters. To overcome these issues, we propose a deep integration representation (DIR) algorithm via deep joint reconstruction, which is motivated by the similarity between deep feedforward auto-encoders and spectral clustering in terms of matrix reconstruction. Thanks to spectral clustering which is one of the best community detection methods, the proposed new method is also good at community discovery task. In addition, DIR has further benefit because it not only provides a nonlinear and deep representation of the network, but also learns the most suitable balance between different components automatically. We compare the proposed new approach with nine state-of-the-art community detection methods on eight real relatively large networks. The experimental results show the definite superiority of this new approach.
Improving map reading with gaze-adaptive legends

Complex information visualizations, such as thematic maps, encode information using a particular symbology that often requires the use of a legend to explain its meaning. Traditional legends are placed at the edge of a visualization, which can be difficult to maintain visually while switching attention between content and legend. Moreover, an extensive search may be required to extract relevant information from the legend. In this paper we propose to consider the user's visual attention to improve interaction with a map legend by adapting both the legend's placement and content to the user's gaze. In a user study, we compared two novel adaptive legend behaviors to a traditional (non-adaptive) legend. We found that, with both of our approaches, participants spent significantly less task time looking at the legend than with the baseline approach. Furthermore, participants stated that they preferred the gaze-based approach of adapting the legend content (but not its placement).
Improved survival of Swedish glioblastoma patients treated according to Stupp

The median survival in glioblastoma (GBM) patients used to be less than 1 year. Surgical removal of the tumor with subsequent concomitant radiation/temozolomide (the Stupp regimen) has been shown to prolong survival. The Stupp protocol was implemented in the county of Jönköping in 2006.
Active Vision System with Human Detection - Using RGB-D images and machine learning algorithms

This master's thesis will focus on an active safety system for the protection of humans close to commercial construction equipments. The purpose is therefore to propose sensors and algorithms suitable for human detection and furthermore to demonstrate a proof of concept. Early on in the project it was decided to use RGB-D images, which is a conventional color image together with a depth map. This report analyzes both a Kinect sensor and a stereo vision system in order to generate a depth map. Machine learning algorithms were used to classify humans where an artificial neural network was found to be the best performing classifier. Finding informative features is important to facilitate classification. Several imaging features were tested and the six most interesting are presented in this report. The feature called fourier descriptor showed the best performance.
Preliminary integrity assessment for GPS/GLONASS RAIM with multiple faults

This paper reviews the integrity test methodology for the Global Positioning System (GPS) and the Global Orbiting Navigation Satellite System (GLONASS) receiver autonomous integrity monitoring (RAIM) that has been discussed during GPS/GLONASS MOPS [1] elaboration. For this purpose, we present a multiple hypothesis-based approach to test the integrity performance of the GPS/GLONASS RAIM and the corresponding integrity bound against multiple failures. We compute the prob ability of missed detection (PMD) under each failure, and we compare this PMD to the requirement for single failure (i.e., 10−4), as in lines with the proposed MOPS test method. We also compute total probability of hazardous misleading information (PHMI) by accounting for all possible fault hypothesis and compare it with the integrity risk requirement of 10−7. In a preliminary assessment, it is shown that the maximum PMD for a pair of faults is approximately 10−7 and the maximum PHMI for multiple satellite failures goes up to approximately 210−8 when the proposed method is applied. Also, this paper evaluates the integrity monitoring test procedures outlined by GPS/GLONASS MOPS based on those performance analyses.
Design of a Reconfigurable Patch Antenna Using the Movement of Liquid Metal

A polarization-agility antenna using liquid metal (eutectic gallium indium) with high radiation efficiency is proposed in this letter. This design approach offers possibilities to use the minimum amount of liquid metal as well as elastomer, so that a higher-radiation-efficiency liquid metal antenna can be realized. The proposed design is based on an aperture-coupled patch antenna composed of both liquid metal alloy and copper tape. The polarization of this antenna is controlled by the position of the pressure-driven liquid metal encased in four triangle cavities constructed by both the elastic dielectric material (i.e., Ecoflex) and polyethylene terephthalate film. A prototype is demonstrated with a center frequency of 2.45 GHz. Three kinds of polarization including left-hand circular polarization, right-hand circular polarization, and linear polarization are successfully demonstrated. A radiation efficiency higher than 90% is observed in the measurement.
Negative Adsorption in Clay-Water Systems with Interacting Double Layers

A relation was derived which describes negative adsorption (salt exclusion) in systems in which double layer interaction takes place but where the surface potential remains finite, such as in clay pastes and sediments. Exclusion volumes calculated for montmorillonite pastes in equilibrium with 1:1 type electrolytes were found to compare favorably with data obtained by F. A. M. de Haan in an earlier study. РезюмеБыло выведено отношение, которое описывает отрицательную адсорбцию (удаление соли) в системах, в которых происходит взаимодецствие двойных слоев, но, где поверххностный потенциал остается ограниченным, как в глинистых пастах и отложениях. Удаленные объемы, выс-читаные для монтмориллонитовых паст, находящихся в равновесии с электролитами типа 1:1, оказались сходными с данными, полученными ранее Ф. А. М. де Хааном. [N.R. ]ResümeeEs wurde eine Beziehung abgeleitet, die die negative Adsorption (Salzausschluß) in Systemen beschreibt, in denen Doppelschichtwechselwirkungen stattfinden, in denen aber das Oberflächenpotential begrenzt bleibt, wie z.B. in Tonpasten und Sedimenten. Die Ausschlußvolumen, die für Montmorillonitpasten im Gleichgewicht mit 1:1 Typ Elektrolyten berechnet wurden, ließen sich gut mit den Ergebnissen einer früheren Untersuchung von F. A. M. de Haan vergleichen. [U.W. ]RésuméOn a derivé une relation qui décrit l’adsorption negative (exclusion de sel) dans des systèmes dans lesquels l’interaction à couche double se passe mais où le potentiel de surface reste fini, tel que dans des pâtes argileuses et des sediments. Des volumes d’exclusion calculés pour des pâtes de montmorillonite en équilibre avec des électrolytes du type 1:1 pouvaient être favorablement comparés aux données obtenues par F. A. M. de Haan dans une étude précedente. [D.J.]
A Compact Broadband Dual-Polarized Antenna Array for Base Stations

A compact <inline-formula><tex-math notation="LaTeX">$\pm \text{45}^{\circ }$</tex-math></inline-formula> dual-polarized broadband antenna array is proposed in this letter for base stations. For the sake of structural simplicity, low profile, and ease of mass production, printed dipoles are adopted as the dual-polarized antenna element. To achieve the broadband performance, radiators are designed to be spline-edged bowties, and they are fed by tapered transmission lines. Moreover, to improve the symmetry and stability of the radiation pattern, the Pawsey stub baluns are used to balance the antenna structure. Finally, an eight-element antenna array prototype backed by a folded reflector is fabricated and measured. The compact antenna array has a broad bandwidth of 68% (1.427–2.9 GHz) with a voltage standing-wave ratio less than 1.5 and stable radiation properties to provide international mobile telecommunication services over 2G/3G/LTE systems and <italic>L-</italic> and <italic>S</italic> -bands released recently.
Photovoltaic array controlled by a first order sliding mode MPPT control for an electric water heaters network

Solar panels usually deliver a power lower than the maximum available, so in order to optimize this power the maximum power point tracking MPPT control is used. This paper describes the use of a first order sliding mode MPPT control to track the maximum power point of photovoltaic array powering electric water heaters network with the aim of reducing the emission of a significant amount of CO2 gas. The simulation results have shown the first order sliding mode SM1 efficiency in terms of stability, the speed of convergence and accuracy compared to the ripple correlation control RCC and incremental conductance InCond methods under standard and variable climatic conditions. The amount of CO2 avoided when using this solution is calculated and demonstrated.
Generalized SVPWM-based capacitor voltage balancing for modular multilevel converters

Submodule (SM) capacitor voltage and arm voltage balancing are imperative for the reliable operation of modular multilevel converters (MMCs). In this paper, a new, simple and generalized discontinuous space-vector pulse width modulation (PWM)-based SM capacitor voltage balancing approach is proposed and developed within the carrier-based PWM for MMCs. Discontinuous modulation can be achieved by addition of zero-sequence component to the PWM modulator so that MMC arm is clamped to positive or negative dc-bus during a particular interval. In addition, a simple generalized approach for determination of zero-sequence component using the zero vector distribution factor is proposed. The dynamic performance of the proposed generalized discontinuous modulation technique and voltage balancing approach for half-bridge (HB)-SM based 5-level MMC is demonstrated through simulation results in PLECS platform. The proposed scheme is applicable to any number of SMs, any SM type and balanced or unbalanced phase voltages.
Preparing for Secure Wireless Medical Environment in 2050: A Vision

The world is on the verge of a technological evolution that will revolutionize Internet access across the globe using direct device-to-satellite links. Such direct global connectivity brings with it an opportunity for the medical community to have a new framework for the secure transmission of confidential personal medical information and clinical systems data. Such a framework has the potential to connect developed-country expertise with less-advanced health services in developing countries, remote communities, patients’ homes, or in disaster zones. This paper explores this emerging concept along with potential communication advancements in medical equipment and presents a conceptual view of implementing ever-demanding health-care services that can benefit the global population. Further, the paper elaborates upon cyber security challenges to digital health-care services. We provide evidence on the need to improve or develop encryption and hashing algorithms and how it can help to meet the cyber security challenges faced by key stakeholders for e-Health. This will ensure fast, reliable, and effective health-care services for both developing economies and remote locations in developed countries.
Bipedal running through imposition of a stabilizing contact force

Feedback linearization is employed to explicitly control the ground reaction force exerted onto a bipedal mechanism to describe its periodic motion and robustness to floor perturbations. Such description is enabled through kinematic constraints that allow the determination of an inverse for the leg's redundant motion. To determine the biped's stabilizing force, a rest Length Modulated Viscoelastic force subject to the Floating structure's posture control (LMVF) is here derived, yielding an automatic energy regulation of the gait, which is a product of a force feedback modulation paired with dissipation. Following the LMVF description, a speed transition is described parametrically from direct interpretation of the force description dynamics.
Miniaturized Dual-Band Circularly Polarized Quadruple Inverted-F Antenna for GPS Applications

A miniaturized dual-band quadruple inverted-F antenna with size of ${\text{0.1}}\lambda _{0}\times {\text{0.1}}\lambda _{0}\times {\text{0.04}}\lambda _{0}$ is presented in this letter. The proposed structure consists of an array of four sequentially rotated inverted-F elements with quadrature excitations for circular polarization. Two methods are utilized to reduce the antenna size, including folding the radiating elements into spiral and meander shapes and introducing the coupling between adjacent elements. This antenna operates in the global positioning system (GPS) L1 and L2 bands, and the maximum gain performances in the two bands can be adjusted separately. The experimental results confirm that the obtained 10 dB impedance, 3 dB axial-ratio, and 3 dB realized gain bandwidths can fully cover the GPS L1/L2 bands. The good performances demonstrate that the proposed antenna is suitable for portable GPS devices.
Image Segmentation and Analysis of Pore Network Geometry in Two Natural Sandstones

We report the results of pore-network analysis of high resolution synchrotron microtomographic images of Fontainebleau and Berea Sandstones. We segment the gray-scale images of the rocks into constituent phases, and analyze the geometry of the pore network. The network consists of pores situated at the corner of grains and serve as the junction between elongated throats along grain edges. Our analysis indicates that the number of pores, their median coordination number, and fraction of connected pore space increases with an increase in porosity. In contrast, the width and length of throats decrease with an increase in total porosity. In each sample, the coordination number of pores is directly related to the radius of the pores, while the length of throats are also positively correlated with the throat radius. The permeability determined from the images increase with the total connected porosity of the samples and there is a change in the modeled permeability for each sample with flow direction. We observe that the dimensionless coefficient of variation of the throat lengths in all samples are nearly uniform around an average value of 0.64. The coefficient of variation of throat radii are generally higher than that of the radius of pores.
Compact Full Band OMT Based on Dual-Mode Double-Ridge Waveguide

A nonstandard dual mode, double-ridge waveguide is utilized to design a compact orthomode transducer (OMT). The OMT is terminated with a standard circular waveguide common port and two standard isolated rectangular waveguide ports. The proposed structure exploits a one-fold symmetry to eliminate the coupling to the in-band higher order odd modes within the common port. The proposed concept is utilized to design a full ${K}$ 1-band OMT that is essential for space and mobile applications. Furthermore, the performance of the proposed OMT design is verified through a back-to-back measurement showing an excellent agreement between the full-wave simulations and measurements. Nevertheless, the proposed design achieves a measured matching level of 19 dB for the two modes and isolation level between them beyond 30 dB over the entire band.
Dwell time reduction technique using Fitts' law for gaze-based target acquisition

We present a dwell time reduction technique for gaze-based target acquisition. We adopt Fitts' Law to achieve the dwell time reduction. Our technique uses both the eye movement time for target acquisition estimated using Fitts' Law (Te) and the actual eye movement time (Ta) for target acquisition; a target is acquired when the difference between Te and Ta is small. First, we investigated the relation between the eye movement for target acquisition and Fitts' Law; the result indicated a correlation of 0.90 after error correction. Then we designed and implemented our technique. Finally, we conducted a user study to investigate the performance of our technique; an average dwell time of 86.7 ms was achieved, with a 10.0% Midas-touch rate.
Preoperative Ultrasound Prediction of Essential Landmarks for Successful Fetoscopic Laser Treatment of Twin-Twin Transfusion Syndrome

Introduction: The insertion site of the fetoscope for laser occlusion (FLOC) treatment of twin-twin transfusion syndrome (TTTS) determines the likelihood of treatment success. We assessed a standardized preoperative ultrasound approach for its ability to identify critical landmarks for successful FLOC. Methods: Three surgeons independently performed preoperative ultrasound and deduced the likely orientation of the intertwin membrane (ITM) and vascular equator (VE) based on the sites of the cord insertion, the lie of the donor, and the size discordance between twins. At FLOC, these landmarks were visually verified and compared to preoperative assessments. Results: Fifty consecutive FLOC surgeries had 127 preoperative assessments. Basic ITM and VE orientation were accurately predicted in 115 (90.6%), 109 (85.8%), and 105 (82.7%) assessments. Predictions were anatomically correct in 96 (75.6%), 70 (55.1%), and 58 (45.7%) assessments with no differences in accuracy between operators of different training level. The ITM/VE relationship was most poorly predicted in stage-3 TTTS (χ2, p = 0.016). Conclusion: In TTTS, preoperative ultrasound identification of placental cord insertion sites, lie of the donor twin, and size discordance enables preoperative prediction of key landmarks for successful FLOC.
Influence of substrate on structural and transport properties of LaNiO3 thin films prepared by pulsed laser deposition

We report the structural and transport properties of LaNiO3 thin films prepared by pulsed laser deposition technique. To understand the effects of film thickness, lattice mismatch and grain size on transport properties, various oriented substrates were used for deposition, including single-crystalline SrLaAlO4 (001), SrTiO3 (100) and LaAlO3 (100). To achieve a high quality LaNiO3 thin films, the vital parameters (such as laser fluence, substrate temperature, oxygen pressure, and deposition time) were optimized. The best quality films are found to be well textured samples with good crystalline properties.
A Monte Carlo–Based Bayesian Approach for Measuring Agreement in a Qualitative Scale

Agreement analysis has been an active research area whose techniques have been widely applied in psychology and other fields. However, statistical agreement among raters has been mainly considered from a classical statistics point of view. Bayesian methodology is a viable alternative that allows the inclusion of subjective initial information coming from expert opinions, personal judgments, or historical data. A Bayesian approach is proposed by providing a unified Monte Carlo–based framework to estimate all types of measures of agreement in a qualitative scale of response. The approach is conceptually simple and it has a low computational cost. Both informative and non-informative scenarios are considered. In case no initial information is available, the results are in line with the classical methodology, but providing more information on the measures of agreement. For the informative case, some guidelines are presented to elicitate the prior distribution. The approach has been applied to two applications related to schizophrenia diagnosis and sensory analysis.
A Preliminary Port and Evaluation of the Uintah AMT Runtime on Sunway TaihuLight

The Sunway TaihuLight is the world's fastest supercomputer at the present time with a low power consumption per flop and a unique set of architectural features. Applications performance depends heavily on being able to adapt codes to make the best use of these features. Porting large codes to novel architectures such as Sunway is both time-consuming and expensive, as modifications throughout the code may be needed. One alternative to conventional porting is to consider an approach based upon Asynchronous Many-Task (AMT) Runtimes such as the Uintah framework considered here. Uintah structures the problem as a series of tasks that are executed by the runtime via a task scheduler. The central challenge in porting a large AMT runtime like Uintah is thus to consider how to devise an appropriate scheduler and how to write tasks to take advantage of a particular architecture. It will be shown how an asynchronous Sunway-specific scheduler, based upon MPI and athreads, may be written and how individual task-code for a typical but model structured-grid fluid-flow problem needs to be refactored. Preliminary experiments show that it is possible to obtain a strong-scaling efficiency ranging from 31.7% to 96.1% for different problem sizes with full optimizations. The asynchronous scheduler developed here improves the overall performance over a synchronous alternative by at most 22.8%, and the fluid-flow simulation reaches 1.17% the theoretical peak of the running nodes. Conclusions are drawn for the porting of full-scale Uintah applications.