Miracle-dz/UniFAR-FTUs huggingface dataset:
Dimensions of the Psychological Training Program Assessment in Professional Sports

The major purpose of this diagnosis, as well of this intervention, consisted in the mapping of the individual characteristics of professional athletes that were considered to be potential resources for the professional change and development. The diagnosis was completed by a psychological training program that aimed to activate and practice the awareness in the target group athletes in regards to a set of personal psycho-emotional resources involved in the optimization of training for competitions and of the actual performance during the competitions. The program tried to meet these needs, the authors being aware that one single training program cannot be expected to produce radical changes; however, it can form the basis for the athletes' openness for such endeavors. This study also intended to identify the way in which the psychological training activities have significantly correlated with the expectations of the athletes in the target group.
Intensification of Enzymatic Hydrolysis of Lignocellulose Using Ultrasound for Efficient Bioethanol Production: A Review

Improvements in enzymatic hydrolysis for production of bioethanol from sustainable biomass are necessary in order to reduce enzyme requirements and the overall processing times. Conventional techniques for pretreatment of lignocelluloses are quite costly, time-consuming, and also require substantial downstream processing. Ultrasound can be effectively used to improve the hydrolysis process by reducing the structural rigidity of lignocellulose and by eliminating the mass-transfer resistances, which can contribute to increase in the product yield with reduced processing time and enzyme consumption. The present work initially presents an overview of different pretreatment methods involved in the enzymatic hydrolysis of lignocellulosic biomass highlighting its limitations. Expected mechanism of intensification due to the use of ultrasound has been discussed, also giving recommendations for optimum operating conditions. An overview of the different studies related to enzymatic hydrolysis using ultrasound for b.
Faster switching with less overvoltage - operating a SiC-MOSFET at its speed limit

This paper explores the turn-off switching behavior of a third-generation SiC MOSFET encapsulated in a TO-247-4 package. The work is focused on the selection of the optimal gate resistance to reduce the turn-off switching losses. The selection criteria is based on the limitation of the inductive over-voltage peak (OVPK) for the worst-case scenario i.e. maximum DC-link voltage and switched current. The gate resistance is tuned to induce the allowed OVPK, gradually, with decreasing gate resistance the switching losses would be reduced but the OVPK would increase. Contrary to the expected behavior, it is observed that there exists a threshold value from which, the decrease of the gate resistor reduces the OVPK and, moreover, the turn-off losses do also decrease.
A Review on Blockchain-Based Strategies for Management of Electronic Health Records (EHRs)

Blockchain technology has been applied extensively in the fields of finance (as cryptocurrency), supply chain, real estate and has persistently promising scope for implementation in newer, broader ways. Blockchain not only focuses on making data easily accessible to its users over a peer-to-peer network but also ensures the security of data using encryption mechanisms. With monumental advances in healthcare technology in the past decade, the storage, access, and management of electronic medical data have become cumbersome. Electronic Health Record (EHR) handling demands privacy as well as improved accessibility. Blockchain technology provides an opportunity to find the balance between both the security and easy accessibility aspects of the EHRs. Furthermore, storing the EHRs on Blockchain will ensure that the transactions carried out on the EHRs are transparent and the EHRs are not subject to unauthorized modification. In this paper, we aim to review existing Blockchain-based paradigms for the management of Electronic Health Records and assess plausible directions for the scope of Blockchain in the future of management of medical data.
Codesign of a Schottky Diode's and Loop Antenna's Impedances for Dual-Band Wireless Power Transmission

In this letter, we proposed a simple design method of rectenna for dual-band wireless power transmission (WPT). This method introduces a codesign of a Schottky's diode and antenna's impedance at 2.45 and 5.8 GHz, which are conjugate matching, respectively. One example shows the design. The rectifying diode presents capacitive impedance, and inductive impedance can be given by a loop antenna through optimization. A Schottky diode is directly connected into the dual-band antenna. An uncomplicated structure is achieved without additional matching network and filtering. For validation, a rectenna working at 2.45 and 5.8 GHz was designed, fabricated, and tested. The measurement results show that a maximum conversion efficiency of 70% with a load resistance of 400 Ω was realized at 2.45 GHz. At 5.8 GHz, the peak efficiency is 61.5% with a load resistance of 200 Ω. This rectenna can be used to charge electronic devices, such as wireless sensors.
Fault Detection Based on Modified t-SNE

Dimension reduction is a general step to process high dimensional data for fault detection. Principal component analysis (PCA) divides data space into principal component space and residual space. But it is a global method without considering local geometric properties between data points. Concentrating on local structure of data, manifold learning can be introduced in dynamic and continuous process for fault detection. It can extract latent features of data, and also be viewed as nonlinear dimension reduction. In this paper, we propose a modified t-SNE algorithm for fault detection, simultaneously considering local structure and different scales of variables. Modified t-SNE converts Mahalanobis distance to the conditional probability for representing pairwise similarities instead of Euclidean distance, which satisfies the characteristics of industrial process data. A subspace can be obtained from high-dimension to low-dimension by applying modified t-SNE, which effectively preserves local structure. Simulation on Tennessee Eastman process (TEP) demonstrates the effectiveness of our proposed method.
Fine-grained Dynamical Speech Emotion Analysis Utilizing Networks Customized for Acoustic Data

In this paper, we propose a new method to do fine-grained dynamical speech emotion analysis utilizing neural networks customized for acoustic data. Experiments on EMO-DB achieve an average utterance accuracy of 87.02%, which is relatively competitive compared with existing works. In addition, the exploration shows interesting emotional dynamics in long emotional speech utterances. The main contributions of this paper are as follows: 1) An architecture of convolution neural networks is designed to perform operations focusing both on time and frequency of speech signals with mel-spectrograms as input from speech signals; 2) Long Short-Term Memory(LSTM) networks are employed to learn temporal emotional features following the convolution neural networks; 3) Emotion time unit(ETU) is introduced to model the dynamic change of speech emotion and improve recognition accuracy in utterance level.
RCPNet: Deep-Learning based Relative Camera Pose Estimation for UAVs

In this paper, we propose a deep neural-network based regression approach, combined with a 3D structure based computer vision method, to solve the relative camera pose estimation problem for autonomous navigation of UAVs. Different from existing learning-based methods that train and test camera pose estimation in the same scene, our method succeeds in estimating relative camera poses across various urban scenes via a single trained model. We also built a Tuebingen Buildings database of RGB images collected by a drone in eight urban scenes. Over 10,000 images with corresponding 6DoF poses as well as 300,000 image pairs with their relative translational and rotational information are included in the dataset. We evaluate the accuracy of our method in the same scene and across scenes, using the Cambridge Landmarks dataset and the Tuebingen Buildings dataset. We compare the performance with existing learning-based pose regression methods PoseNet and RPNet on these two benchmark datasets.
Design of Series-Fed, Single-Layer, and Wideband Millimeter-Wave Microstrip Arrays

A series-fed millimeter-wave (mm-wave) microstrip linear array with single-layer structure and wide operating bandwidth is proposed and investigated. The antenna array simply consists of a microstrip line and a series of short stubs that are periodically introduced on one edge of the microstrip line, at an interval of about one guide wavelength. Owing to the perturbation of the additional stubs, the original symmetrical E-field distributions on the two opposite edges of the microstrip line become asymmetrical, and the intensities of the equivalent magnetic currents are unequal and unable to cancel each other out as in a pure microstrip line. As a result, the stub-loaded microstrip line can radiate effectively, producing broadside radiation patterns. The introduction of stubs can also generate an extra resonant mode, which combines with the resonant mode of the microstrip line, yielding a wide bandwidth of over 20%. In addition, the microstrip array is simply fed by a coaxial probe, without involving any complex feeding network. Therefore, the array configuration is very simple and compact. For demonstration, a $1 \times 4\,\,1$ -D microstrip linear array operating at 27 GHz is fabricated and tested. The measured results show that the array has an impedance bandwidth of 21.40%, an average realized gain of 12.18 dBi, and a first sidelobe level (FSLL) of about −13 dB. Moreover, the FSLL can be decreased to −28.4 dB by tapering the width of the microstrip line. Finally, the design is extended to realize a $4 \times 4\,\,2$ -D microstrip planar array. This planar array can achieve an impedance bandwidth of 19.15% and an enhanced gain of 18.30 dBi.
Design of Imitation Camouflage Pattern Based on Multi-Resolution Decomposition

The object of this paper is imitation camouflage design and edge detection, and the imitation camouflage pattern with pixel lattice as the basic unit and can reflect the characteristics of background patches is designed and edge detection is carried out. The experiment mainly carries on the independent component analysis method to carry on the multiresolution decomposition imitation camouflage design and the edge detection based on the wavelet transform. Independent component analysis, according to the state variable itself color, feature brightness and other properties, extract components and color replacement, compression and other processing, to generate imitation camouflage. Iterates the process to achieve the effect of multiresolution decomposition. Wavelet analysis uses multi-scale edge detection method to filter images by high-pass and low-pass filters of different scales. This can not only effectively suppress high frequency noise, but also reliably retain low frequency edge features. The key of image edge detection algorithm lies in the setting of wavelet component filter and the design of algorithm
A Novel Recursive Data-Driven Realization of SIR in Closed-Loop System

Modern factories are facing severe challenges from production safety to dealing tons of process data. Aiming to provide powerful tools for system analysis and design through data-driven techniques, this paper proposed a novel recursive data-driven Stable Image Representation (SIR) identification method. By controlling the rows future and past vectors, the algorithm given in this paper can provide adjustable identification precision with relatively low computational load. The correctness of this paper has been shown in a Double loop DC motor system. The work in this paper is essential to the future research on data-driven recursive realization of stability margin and gap metric.
1-Port Piezoelectric Resonators With > 100 V/V Gain

This paper presents a 1-port thickness-shear (TS) mode quartz resonator with very high voltage gain, suitable for use in “near-zero-power” radios. These devices offer voltage gains >100x (referenced to <inline-formula> <tex-math notation="LaTeX">$50~\Omega $ </tex-math></inline-formula>) at ~50 MHz and >300x at ~75 MHz with ~60 fF load, which is the highest voltage gain directly measured to date in a piezoelectric micromechanical resonator. Six resonators with resonance <inline-formula> <tex-math notation="LaTeX">${f}_{{\text {r}}}\approx 50$ </tex-math></inline-formula> MHz and identical electrode dimensions are characterized by S<sub>11</sub> measurements and by directly measuring the voltage gain using a high-impedance active probe. Quality factor (<inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula>) up to 140,000 at ~50 MHz and electromechanical coupling (<inline-formula> <tex-math notation="LaTeX">${k}_{{\text {eff}}}^{2}$ </tex-math></inline-formula>) up to 0.445% are demonstrated. In several devices, voltage gain around or above 100 V/V is observed for load <inline-formula> <tex-math notation="LaTeX">${C}~\approx ~60$ </tex-math></inline-formula> fF, and the gain changes as expected with decreasing load impedance. Additionally, a similar 1-port quartz resonator design at <inline-formula> <tex-math notation="LaTeX">${f}_{{\text {s}}}~\approx ~75$ </tex-math></inline-formula> MHz is demonstrated to have voltage gain over 300 V/V (referenced to <inline-formula> <tex-math notation="LaTeX">$50\Omega $ </tex-math></inline-formula>) and <inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula> around 335,000. These quartz resonators are fabricated in a mature, commercially available process, promoting widespread integration into radio-frequency (RF) wake-up receivers (WURs). [2020-0196]
Bioinformatic methods applied to the analysis of the genes retained after the whole genome duplication events in the sterlet genome (Acipenser ruthenus)

Duplications are the powerful mechanism underlying the origin of new genes. In this study we describe several duplicated genes retained after the whole genome duplication in the genome of recently sequenced and assembled sterlet (Acipenser ruthenus). We demonstrate that genes encoding heat shock proteins and transcription factors participating in intercellular communication and sex determination are mostly retained after genome doubling.
Analysis of Switching Performance and EMI Emission of SiC Inverters under the Influence of Parasitic Elements and Mutual Couplings of the Power Modules

Parasitic elements and mutual couplings of SiC half-bridge modules strongly affect the switching characteristics of devices. They excite overshoots and oscillations that further contribute to increased EMI emissions. This paper will explain and analyze such effects on the switching performance and EMI emissions, based on 3D FEM models of the module. It can be said that knowledge about the effects of parasitic elements and mutual couplings on the switching behavior is an important basis for the design guidelines of fast switching wide-bandgap (WBG) power converters. A three-phase DC-AC inverter prototype with three SiC half-bridge MOSFET modules and an EMI measurement test setup are constructed for the experiments. The experiments results are validated with simulation results.
Towards an Integrated Low-Cost Agricultural Monitoring System with Unmanned Aircraft System

Over the last years, an intensified interest has been shown in many studies for precision agriculture. Unmanned Aircraft Systems (UASs) are capable of solving a plethora of surveying tasks due to their flexibility, independence and customization. The incorporation of UASs remote sensing in precision agriculture enhances the abilities of crop mapping, management and identification through vegetation indices. In addition to this, different image analysis and computer vision processes were adopted trying to facilitate field operations in cooperation with human intervention to enhance the overall performance. In this paper, we present a practically oriented application on vineyards towards an integrated low-cost system which utilizes Spiral-STC (Spanning Tree Coverage) algorithm as a Coverage Path Planning (CPP) method. Based on the resulted flight campaign, UAV images were collected, and the incorporated image analysis processes finally extract vegetation knowledge. Also, geo referenced orthophotos and computer vision applications complete the generated oversight of the field. These supportive tools provide farmers with useful information (crop health indicators, weather predictions) letting them extrapolate knowledge and identify crop irregularities.
Aerial Worker for Skyscraper Fire Fighting using a Water-Jetpack Inspired Approach

This article is concerned with the utilization of Unmanned Aerial Systems (UASs) for fire fighting purposes in skyscrapers. The water is supplied to these systems through a hose using a water pump in a similar manner as in hydroflight sports. The UAS utilizes this hydro-propulsion to lift the water hose and the water present in it, thus extending its flight time. An adaptive backstepping controller is employed for controlling the water jet in the yaw axis, while considering as disturbance the forces acting along its roll and pitch axes. Simulation results highlighting the system’s performance against forces acting on its center of mass are offered.
Hybrid Energy Storage System for MVDC-Grids

A hybrid energy storage system (HESS) to integrate different energy storage (ES) devices is presented. In this way, ES-devices with complementary physical properties can be used in medium-voltage direct current (MVDC) grids. The aggregation and integration of different ES-technologies is indispensable for operating MVDC distribution grids based on renewable energy sources (RES). State-of-the-art ES-devices are interfaced to alternating current (AC) grids by multiple power electronic converter stages and bulky transformers. Considering the independent operation of MVDC microgrids, an intermediate interface, that aggregates low voltage (LV) ES-devices, is crucial. The proposed HESS topology offers scalability and expendability for the direct integration of ES-devices and avoids lossy AC/DC conversion stages. Besides, great flexibility concerning the installation location inside the MVDC-grid is provided.
Clonal growth in grassland perennials. III: Genetic variation and plasticity between and within populations of Bellis perennis and Prunella vulgaris

(1) The genetic structure and plasticity within and between populations of two grassland perennials Bellis perennis and Prunella vulgaris of contrasted growth form was investigated by means of reciprocal transplant experiments. (2) Genetic variation exists within and between populations of both species. Genetic differences in plastic response have been found between populations of Prunella vulgaris; plants were larger at home-sites but had longer offshoots at away-sites. The fraction of phenotypic variability which is determined by the environment was larger in Bellis perennis than in Prunella vulgaris. (3) It is suggested that plasticity is high in Bellis perennis because genets remain in relatively fixed positions (phalanx growth habit). The evolution of local specialization in Prunella vulgaris may be explained by the ability of genets to travel by clonal growth (guerrilla growth habit) and to find favourable patches in the environment. This growth response is compared with behavioural plasticity in animals. (4) Genetic variation between populations of P. vulgaris was independent of the source material (seeds, cuttings) which had been used in the transplant and cultivation experimehts, indicating that heterogeneity within seed populations may be restricted as much as withifi populations of growing plants.
An Effective Neural Machine Translation for English to Hindi Language

Machine translation involves the conversion of text from one language to the other language. In the world of web, a huge number of resources are made available in English. Many of the people are not familiar with this global language. Manually transmuting them into native languages such as Hindi (Indian National language) is a tedious task. In such scenarios, automatic machine translation is an efficient approach. In our work, 8 advanced architectures have been experimented and contrasted their efficiencies. Six different Indian languages such as Hindi, Bengali, Gujarati, Malayalam, Tamil and Telugu is worked on. How BLEU varies with the usage of Word embedding technique have been clearly shown. Encoder to decoder networks are found fine for short sentences. But if the length of the sentence exceeds 20, then attention architecture is suitable. The 4 Layer Bi-directional LSTM is a great choice in these networks to achieve higher BLEU is also observed. In our work, CFILT, UFAL, ILCC datasets have been considered and achieved a BLEU score of 21.97.
Accurate Stitch Position Identification of Sewn Threads in Textiles

Seam stitches made by a computer program on a CNC sewing machine may be shifted from their desired positions due to the elasticity of thread and substrate material. The mismatch may lead to a visually inferior appearance of the resulting seam pattern compared to the one desired by the manufacturer.This paper presents a software to accurately identify the distortion vector for each individual stitch. The proposed software consists of a thread pixel detection in the scanned image of the textile based upon the Frangi Filter and the Expectation Maximization algorithm. A Subsequent registration with the desired model finds an accurate assignment of each model stitch position and the corresponding thread pixel. This allows the computation of individual distortion vectors facilitating the automatic reprogramming of corrected stitch positions in the CNC sewing program to minimize the final distortion.
Microstrip Patch Antenna Design in Circular Topology for Ultra High-Frequency 900MHz Radio Spectrum: Size Reduction Technique and Defected Ground Structure Effects

This paper presented the works that have been done in the circular shape microstrip patch antenna designed for 900MHz operating frequency. The size of an antenna will be a big issue for the 900MHz frequency band. The objectives of this work are to investigate the effects of the metal plane reduction in the radiating plane patch antenna and the effects of the defected or partially ground plane technique on the circular shape microstrip patch antenna design performances. The size reduction and defected ground plane methods are implemented in the design. Directivity radiation pattern performance has been investigated and analyzed using defected or partially ground plane technique. The method of reduction of the metal plane area from radiating patch implemented managed to achieve 96% size reduction of the metal plane and 82% of size reduction from total antenna design. Defected or partially ground plane managed to achieve absolute-doughnut shape radiation pattern as an omnidirectional antenna. All related performance for an antenna such as return coefficient in dB, bandwidth in Hz, directivity in dBi, and gain in dB is simulated, analyzed and discussed. Simulation and measurement results performance of ring topology patch antenna also been observed and discussed. Computer Simulation Software is used to simulate and analyzes the performances of the antenna and the fabricated antenna performances are measured using Vector Network Analyzer. This antenna is meant to be used in the energy harvesting application.