Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of a Universal Power SMES Compensator for LV Distribution Grid

The design of an interface device for interconnecting a SMES (Superconducting Magnetic Energy Storage) to a LV distribution grid is carried out, in order to demonstrate the feasibility of a SMES for achieving, with the same device, power quality and critical load protection functions. The work is developed inside a three-year research project, called DRYSMES4GRID, funded by the Italian Minister of Economic Development and sees the cooperation of five partners (companies, universities, and research institutes). The aim of the project is to demonstrate the feasibility of the SMES (500 kJ/200 kW) in the short/medium term at competitive cost based on Magnesium Diboride (MgB2). In particular, in this article, after a brief state of art of the SMES applications for the grid, the design and the control logics of the DC/DC chopper for the power modulation of the energy stored in the SMES and of the threephase AC/DC inverter are shown. The activities are mainly based on digital simulations to evaluate the performances of this device in a LV distribution grid in presence of linear and non-linear loads, considering in particular the peak shaving function, while the device is connected to the mains, and the islanding operation condition after the detection of a voltage dip.
A personal healthcare system for contact-less estimation of cardiovascular parameters

Conventional methods for measuring cardiovascular parameters use skin contact techniques requiring a measuring device to be worn by the user. In this work we propose an innovative solution for monitoring cardiovascular parameters that uses a contact-less device and can be easily integrated within home environments. The proposed system is a smart device composed of a see-through mirror equipped with a camera that captures the person's face and provides a real-time estimation of the heart rate and the oxygen saturation using photoplethysmography. Compared to a contact device in measuring vital parameters on still or slightly moving subjects, our solution achieves measurement errors that are within acceptable margins according to the literature.
A Double-Cladding Single Polarization Photonic Crystal Fiber and Its Structure Deviation Tolerance

We propose a novel broadband single-polarization single-mode (SPSM) photonic crystal fiber with hexagonally latticed circular airholes. Combined with our fabricated polarization maintaining fiber, it has demonstrated that the enlarged air holes in the outmost layer are superior for the confinement loss reduction. At the optimized parameters, the wavelength of SPSM region ranges from 1.52 to 2.13 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m, where only y-polarized fundamental mode exists and the confinement loss is 0.051 dB/km at 1.55 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m. The influence of realistic fabrication errors involving structure deviation on SPSM operation has also been systematically investigated.
A reliable architecture based on Precision Time Protocol for WAMPAC synchronization

Wide Area Monitoring Protection and Control (WAMPAC) systems play an increasingly important role in electric power system. They allow the measurement and the analysis of real time data to improve power system‘s reliability and efficiency. To work properly, every element of a WAMPAC system must be synchronized to a common reference time. Currently, the most common synchronization source is GPS, a system greatly vulnerable to cyber-attacks. To fully exploit WAMPAC systems‘ potential, cyber security issues must be taken into account. One possible solution could be the utilization of Precision Time Protocol (PTP) over Ethernet, as an alternative synchronization source.
A Compact filter based on Substrate Integrated Coaxial Line Technology

A compact filter based on substrate integrated coaxial line technology(SICL) and implemented with spur stepped impedance resonator(SSIR) is proposed. Unlike previous filter structure.the resonant unit of this filter is introduced by electromagnetic coupling, which generates two transmission zeros outside the band, improving the out-of-band rejection ratio of the filter. The filter is designed at the center frequency of 9GHz with the bandwidth Of 1.5 GHz, which can be used for the resonant unit of a millimeter-wave radar oscillator.
Research on the Method of Remote Reproduction of UTC(NTSC) and its Realization

National time service center (NTSC) is responsible for the generation, maintenance and dissemination of national standard time in China. It has established national standard time UTC (NTSC) synchronized with UTC, and kept the deviation between UTC (NTSC) and UTC is less than 10 ns. In order to allow more remote users acquired the high precision time and frequency signal traceable to UTC, this paper presents a time comparison method applicable for UTC (NTCS) remote reproduction, the time comparison method proposed herein has achieved UTC (NTSC) remote reproduction system in engineering. It has solved the problem that the method of standard satellite common view exits measuring dead time, and couldn't output real-time comparison results. The paper discuss the principle and implement method for remote high precision reproduction UTC(NTSC) system, in additional, the application requirements, the technology of improve precision, and strategy of enhanced reliability are introduced mainly too. In the case of take high-stability crystal oscillator as the signal source, a recent experiment demonstrated that the time offset of reproduction time is less than 10ns compared with UTC(NTSC), frequency accuracy and hourly stability is better than lE-13 and lE-12 respectively.
Current Error Based Compensations for VSC Current Control in Weak Grids for Wind Farm Applications

A novel current control strategy is proposed for voltage source converters connected to weak grids using conventional current vector control with additional current error based voltage angle and magnitude compensations. For connecting to very weak ac network, the combination of vector control and grid synchronization with a conventional phase-locked loop is proved to be unstable, whereas the proposed current error based compensations can significantly improve system stability. In this way, the proposed control can still benefit from the presence of closed-loop current control without the need for control switching during large ac voltage variations. A comprehensive frequency domain model is established to analyze stability performance. Comprehensive time domain simulations are further carried out to validate its effectiveness and robustness by demonstrating its current control performance during a three-phase fault, multiple-converter situation, and various grid strength conditions.
Reduction of Inverter Carrier Harmonic Losses in Interior Permanent Magnet Synchronous Motors by Optimizing Rotor and Stator Shapes

In this paper, we investigate rotor and stator designs of interior permanent synchronous motors for variable speed/load applications to reduce the carrier harmonic losses caused by pulsewidth modulated inverters. The rotor core and magnet shapes are determined by automatic optimization methods with electromagnetic field analysis, which considers the inverter carrier. Appropriate stator-winding configurations are also investigated by this analysis. It is clarified that the total carrier harmonic loss can be reduced by more than 20% by optimizing both the stator and rotor shapes, whereas the other important characteristics are not deteriorated. The mechanism of carrier loss reduction is also clarified.
A 16-BIT 200KS/S Multi-channel SAR ADC in 55nm CMOS

More and more analog and mixed-signal (AMS) blocks are integrated into system on chip (SoC) platform due to intense market competition. In this paper, we present a 16-bit successive approximation register (SAR) analog-to-digital converter (ADC) IP that is much smaller and less power cost than other recently reported SAR ADCs. In addition, we use several techniques to improve area and power. This work has multi input channels with programing input scale. A high accuracy reference voltage and low noise comparator proposed in this design. We also design on-chip calibration and oversampling digital filter to achieve a higher SNR.
Comparation of Light Sensor on Biological Tissues for Wound Three-Dimensional Reconstruction

Diabetes Mellitus is a metabolic disease that affects over 450 millions individuals in the world. From this derives another disease among which is the diabetic foot syndrome, is the major complication. This syndrome can cause ulcers on the extremities of the patients, which because of a wrong classification and an inadequate treatment, ends in amputation or in death. Measurement of the wound originated from this syndrome specially the determination of the wounds depth, plays an important role in cases like diagnosis, classification and the treatment to apply. This article explores size depth of a wound using a light sensor over three different types of biological samples, one of them with meristematic plant tissue and the other samples with several types of biological tissues in order to observe the behavior of light on different tissues and to get closer to a usable on patients with diabetic foot syndrome. Data obtained in the experiment from the light sensor represent in a way close proximity, not only the depths wound and the possibility 3D reconstruction, but the different tissues present when the samples analyzed contained more than one tissue. The above mentioned gives a guide to subsequent investigations about the use of light in measurement and even for classification of diabetic foot ulcers
Modeling and Prototype of a Dynamic Wireless Charging System Using LSPS Compensation Topology

The proposed paper presents the development of a highly efficient and highly immune misalignment tolerant loosely coupled inductive power transfer system using dynamic wireless power transfer concept to charge a 48-V battery bank at 500 W through a 16-cm airgap. The purpose of this work is to investigate the influence of a third coil functioning as a transmitter coil. The resonant circuit as well as the electronic power converters used to implement a prototype are deeply explained.
A methodologic approach to define the railway junctions capacity

The paper reports a methodologic approach to define the capacity of railway junctions. The railway traffic increase, together with the improvement of passenger comfort, has produced a greater need for electricity. Consequently, solutions to augment the railway system capacity, including railway junctions, have to be achieved. In order to design new plants and to improve or certificate the existing ones, simulation of the overall railway system is necessary. In this paper the Authors propose a guideline with a theoretical approach to study the capacity of railway junctions.
Statera: A Balanced Feature Selection Method for Text Classification

Feature selection is widely used to overcome the problems caused by the curse of dimensionality, since it reduces data dimensionality by removing irrelevant and redundant features from a dataset. Moreover, it is an important pre-processing step usually mandatory in text mining tasks using Machine Learning techniques. In this paper, we propose a new feature selection method for text classification, named Statera, that selects a subset of features that guarantees the representativeness of all classes from a domain in a balanced way, and calculates such degree of representativeness based on information retrieval measures. We demonstrate the effectiveness of our method conducting experiments on nine real document collections. The result shows that the proposed approach can outperform state-of-art feature selection methods, achieving good classification results even with a very small number of features.
Design and Characterization of Low-Cost Soft Pneumatic Bending Actuator for Hand Rehabilitation

In an assistive device such as hard exoskeleton hand, there are some disadvantages, such as hard to align with the user’s finger, still solid / rigid form that allows a broken part when colliding with other solid/hard objects. In this research, soft Pneumatic Bending Actuators (PBA) are developed as wearable robot based on soft robot technology for hand rehabilitation or assistive device. The proposed soft PBA uses pressurized air chamber in the silicon rubber material performing a bending motion for supporting the flexion/extension motion of the human finger when it is worn by human hand. Selected low-cost RTV (Room-Temperature-Vulcanizing) Silicone will be used to build a soft PBA. The PBA mold is designed using CAD software and printed using 3D print. The prototype of the PBA will be tested by giving air pressure and acquiring the bending angle response. Based on the test results, the bending angle on the soft PBA shows that the bending angle of unattached PBA on the human finger has higher bending angle than the PBA attached on the human finger.
The Development and Key Technologies of Smart Distribution Network Planning Converging High Penetration Level of EVs

As an effective way to solve energy problems and achieve sustainable development, electric vehicles (EV s) present broad application prospects. Without the help of effective distribution network planning and design methods, the development of EVs is impossible. However, due to the massive access of EV s, the planning and design of distribution network is quite different from the traditional power system. This paper presents the key steps of smart distribution network planning converging high penetration level of EV s on the technique side, reviews latest developments in the field of modelling methods, solving algorithms and evaluation methods, and emphatically discusses the coupling between the EVs charging behavior and the planning of distribution network, as well as the main comprehensive evaluation methods. The future research direction of smart distribution network with high-penetration level of EV s is proposed.
On-the-Fly Fast X-Ray Tomography Using a CdTe Pixelated Detector—Application in Mechanical Testing

Fast tomography measurements are still done almost exclusively within the domain of synchrotrons. However, recent progress in radio diagnostic instrumentation has enabled researchers to perform time-lapse computed tomography (4-D CT) even under laboratory conditions with standard X-ray sources. Thus, fast time-dependent processes within materials with relatively high X-ray attenuation can be monitored. This paper describes the in situ tomographic monitoring of crack formation and propagation in a quasi-brittle silicate matrix composite subjected to three-point bending. A 3-D CT volume containing the region of interest in the specimen is imaged over a period of time, while the continuously increasing load causes crack initiation and propagation, creating a dynamic volume data set. An acquisition time of 50 s for one full-angle tomography with 400 projections makes this tomographic system one of the fastest systems in the world. The resulting visualizations provide qualitative information concerning progressive crack propagation within areas of lower material density. Differential images then allow displaying the spatial orientation of the crack over time. The results were further processed for a quantitative analysis of image quality using various methods of beam hardening correction.
A Decision-Level Fusion Method Based on Convolutional Neural Networks for Remote Sensing Scene Classification

Scene classification is a key issue in the field of remote sensing image analysis. In recent years, a lot of scene classification methods have emerged due to the convenient acquisition of high spatial resolution remote sensing images. In the existing literature, the feature-level fusion method is widely used to improve the classification performance. In this paper, we propose a decision-level fusion method based on convolutional neural networks (CNNs) for remote sensing scene classification. The proposed method accomplishes the classification task through two steps. In the first step, a CNN is fine-tuned using the training samples, and the soft-max layer of the CNN is used to obtain the top-N possible classes of each test sample. In the second step, multiple linear support vector machines (SVMs) are trained using the features extracted from the fully-connected layer of a pre-trained CNN. The final class of each test sample is determined by the SVMs from the top-N possible classes obtained in the first step. Experiments on the widely used UC Merced data set and AID data set demonstrate the effectiveness of the proposed method.
Inference of Researchers' Area of Expertise

Nowadays, there is a wide range of academic data available on the web. This information allows solving tasks such as the discovery of specialists in a given area, identification of potential scholarship holders, suggestion of collaborators, among others. However, the success of these tasks depends on the quality of the data used, since incorrect or incomplete data tend to impair the performance of the applied algorithms. The present work utilized machine learning techniques to help to infer the researchers' areas based on the data registered in the Lattes Platform, using the subareas as a case study. The subareas present a variant of the original problem with more challenges, as the number of classes is bigger. The goal of this paper is to analyze the contribution of factors such as social network metrics, the language of the titles and the hierarchical structure of the areas in the performance of the algorithms, and propose a new approach combining different characteristics. The proposed approach can be applied to different academic data, but the data from the Lattes Platform was used for the tests and validations of the proposed solution. As a result, we identified that the social network metrics and the numerical representations of the data improved inference accuracy when compared to state-of-the-art techniques, and the use of the hierarchical structure information achieved even better results.
Experimental Implementation of an APC With Enhanced MPPT for Standalone Solar Photovoltaic Based Water Pumping Station

In this paper, a new active power control (APC) with enhanced maximum power point tracking (MPPT) algorithm are implemented to improve the performances of a solar photovoltaic system (SPV) based standalone water pumping station. The APC uses proportional resonant controller with antiwindup (AWPRC) for ac voltage regulation without saturation phenomena and with high power quality at the point of common coupling. Furthermore, the proportional resonant controller design method for optimal gains to achieve high performance during transition period in terms of phase margin and desired settling time is analyzed. To achieve the MPPT with less oscillation while protecting the battery energy storage system from overvoltage, an enhanced power ratio variable step based perturbation and observation algorithm is used. The effectiveness of the developed control strategies are validated through simulations and experimental results.
Design of Secure IoT Platform for Smart Home System

The purpose of this research is to produce a design of secure IoT platform for the smart home system. The main security challenges of IoT system lies on the sensing layer that consists of small devices that have many limitations such as battery life, computational power, and storage. In this research, we propose a security scheme to secure the sensing layer using hybrid cryptosystem. Data communication between sensor devices and local gateway is secured with ECDH for key exchange and AES for the encryption-decryption process. Since ECDH does not have authentication process that makes it vulnerable to MITM attack, we propose ECDH with identity-based authentication over Bluetooth to overcome this issue. The AES key is derived from ECDH shared secret key using the PBKDF2 function. Data communication from local gateway to home router and cloud servers, and between the cloud server and user end-point is transferred over HTTPS protocol.
Second-Order Volterra-Filter-Based Control of a Solar PV-DSTATCOM System to Achieve Lyapunov's Stability

In this paper, a Volterra-filter-based control algorithm is developed to generate reference currents for a solar photovoltaic-distribution static compensator (PV-DSTATCOM) system in the distribution network. The developed control is analyzed for being stable under Lyapunov stability criterion; consequently, the error function of the system converges to zero asymptotically. The PV-DSTATCOM system is integrated to the grid to compensate the nonlinear load, while supplying solar PV array active power to the grid. The system is modeled in MATLAB and is executed on a developed prototype in the laboratory, under balanced, unbalanced loading conditions, and variable insolation conditions. Moreover, the harmonic distortion of the grid currents is observed under the IEEE-519 standard.
Edge-Based Loop Closure Detection in Visual SLAM

In robotics research which is focused on visionbased localization estimation, Loop Closure Detection (LCD) algorithms used to recognize visited places, have been established as the solution to the problem of error drift in Visual SLAM systems. In this paper, an LCD system based on the popular DoW2 module is analyzed using a classical state-of-art solution for keypoints extraction like FAST, and our proposal for keypoint selection based on image edges detection. The behavior of the system is analyzed and tested in three different datasets (one indoors and two outdoors). This preliminary work aims to be an initial design for future development of an LCD module to add to Visual SLAM Rebvo system.
Motion Coordination in Heterogeneous Ensemble Using Constraint Satisfaction Method

This work presents the motion coordination model for the heterogeneous ensemble of vehicles used in the forest fire-fighting operations. The model is applicable in the case-scenario control systems at the solution adaptation stage. The constraint-satisfaction method that allows keeping spatial configuration satisfying all restrictions during the adaptation stage of the case-scenario decision cycle is presented. It has an acceptable computational complexity.
Contribution to the System Design of Contactless Energy Transfer Systems

In this contribution, a design procedure that is applicable to many kinds of wireless or contactless energy transfer systems is proposed. The design procedure is limited to near field wireless energy transfer systems in resonant operation. For this purpose, the input impedance and voltage transfer function of different natural frequencies are calculated analytically, and moreover, the behavior of the system is described. Following three issues lead to a readily applicable design procedure. First, the knowledge of the transfer functions. Secondly, the knowledge of basic magnetic properties and lastly, the known influence of harmonics according to rectifier and inverter. This design procedure is demonstrated with two hardware setups.