Miracle-dz/UniFAR-FTUs huggingface dataset:
Stabilization of Markovian Jump Systems Via a Partially Mode-Dependent Controller of Dwell Times

In this paper, the stabilization problem of discrete-time Markovian jump systems (DMJSs) with partially mode-dependent controllers of dwell times is studied. Firstly, a kind of partially mode-dependent controller (PMC) experiencing dwell times is proposed, whose stability problem is transformed into a similar one about another DMJS. Secondly, by exploiting a switched quadratic Lyapunov function (SQLF), sufficient conditions for the designed controller are given in terms of linear matrix inequalities (LMIs). Moreover, more extensions about stabilization realized by fault-tolerant and disordered controllers are considered. Finally, two practical examples are used to show the effectiveness and practicability of the proposed methods.
Performance evaluation of backscatter modulation techniques by using one and two frequencies

This work present a comparison between the single and dual band circuits for Radio Frequency Identifiers / Wireless Sensor Networks applications (RFID / WSNs). The performed tests were realized in comparable power levels and the final results show the potential of using two different frequencies (dual band circuit). Moreover, the work also addresses receiving and demodulation processes that were used to acquire messages reflected by tags.
A Privacy-Preserving Protocol for Network-Neutral Caching in ISP Networks

By performing in-network caching, Internet Service Providers (ISPs) allow Content Providers (CPs) to serve contents from locations closer to users. In this way, the pressure of content delivery on ISPs’ network is alleviated, and the users’ Quality-of-Experience (QoE) improved. Due to its impact on QoE, caching has been recently considered as a form of traffic prioritization in the debate on Network Neutrality (NN). A possible approach to perform NN-compliant caching consists in assigning the same portion of cache storage to all the CPs. However, this static subdivision does not consider the different popularities of the CPs’ contents and is therefore inefficient. Alternatively, the cache can be subdivided among the CPs proportionally to the popularity of their contents. However, CPs consider this information private and are reluctant to disclose it. In this work, we propose a protocol to perform a popularity-driven subdivision of the caches’ storage in a privacy-preserving and network-neutral fashion. The protocol is based on the Shamir Secret Sharing (SSS) scheme and is designed to ensure a NN-compliant subdivision of the caches while preserving the privacy of both CPs and ISP (i.e., contents’ popularity and caches’ size are not disclosed). Through dynamic simulation, we show that the popularity-driven cache subdivision (enforced by using our protocol) outperforms several baseline approaches in terms of overall network Resource Occupation (RO) and caching Hit-Ratios. Thanks to our numerical results, we observe that the frequency of execution of the protocol has a significant impact on the RO, and that the ISP can tune this frequency to minimize its RO while introducing an acceptable data overhead. Because of this tuning, several CPs may experience a loss with respect to the hit-ratio that they would obtain by independently choosing the frequency of execution. This loss is very limited, and the employment of the protocol is therefore beneficial to all the involved parties, especially since, by using it, CPs are guaranteed that the ISP behaves in a network-neutral manner.
Parameter Extraction of One-Diode Photovoltaic Model using Lévy Flight Directional Bat Algorithm

In this paper, a modified version of the directional bat algorithm (DBA) is proposed to fast and accurately extract the five parameters of the one-diode photovoltaic model from experimental data. In order to improve the exploit feature of the DBA, a random flight step based on the Lévy distribution is introduced. Additionally a dynamic procedure to correct any solution found which violates the established parameters bounds, during the solution process, is proposed. Tests were carried out on two commercial photovoltaic devices and the results demonstrated that for these two cases at least, the proposed algorithm named Lévy flight directional bat algorithm (LDBA), is more efficient and robust than the DBA and other well-established metaheuristic algorithms presented in the literature.
Identification of Probable Standard Essential Patents (SEPs) Based on Semantic Analysis of Patent Claims

One of the most important tasks in patent analysis is to evaluate a patent in order to identify its financial asset. Patents that are essential for standards, so-called standard essential patents (SEPs), are an especially valuable type of patent because patented products and processes that are essential for standards are primarily designed for the mass market and often generate high royalties. Although several committees publish SEPs by naming the associated standard codes, there are a large number of patents that are likely to be SEPs but have not yet been declared. Market participants are interested in identifying SEPs, and particularly potential SEPs, as these may affect their businesses now and in the future in terms of risk management. In addition to risk issues, opportunities can also be gained through license fees if patents that are suitable as SEPs can be identified within one's own patent portfolio. In this article, the author provides a computer-based method that helps patent holders to determine whether a patent is likely to be declared an SEP and which standards are suitable for potential SEPs, based on a semantic analysis of patent claims using artificial intelligence in the form of the Doc2Vec algorithm.
Compact Equal-Width Equal-Length Phase Shifter With Slow-Wave Half-Mode Substrate Integrated Waveguide for 5G Applications

The emerging fifth-generation (5G) wireless and mobile communications demand high-performance phase shifters to enable the multi-channel transmit/receive systems with phase control ability. In this work, a size-miniaturized wideband phase shifter based on slow-wave half-mode substrate integrated waveguide (SW-HMSIW) is presented. The proposed SW-HMSIW is consisting of conventional HMSIW section and periodically-patterned non-uniform microtrip polyline unit cells. Patterning polyline unit cells in HMSIW can effectively enhance the product of the equivalent permittivity and permeability of SW-HMSIW, so that the slow-wave effect can be exhibited and its associated size reduction will be further achieved. Moreover, lengths and widths of segments of the proposed polyline unit cell can influence the equivalent permittivity and permeability of the SW-HMSIW, and consequently change its phase constant and cutoff frequency. Hence, for a SW-HMSIW with a fixed physical length, an electrical length variation, i.e, phase shift, can be achieved as segments of the polyline employ various lengths or widths. Based on this principle, a wideband equal-width equal-length SW-HMSIW phase shifter is implemented. Measured results are in good agreement with simulated ones, with a phase shift of 90.5 ± 3 degree and a fractional bandwidth of 43.0% achieved. Compared with some similar reported works, the proposed one shows a size reduction more than 80% as well as good magnitude and phase deviations performance. Moreover, its miniaturized size and equal-width equal-length structure make it suitable for the complex multi-channel modules and networks of the 5G applications.
Active Terahertz Polarization Converter Using a Liquid Crystal-Embedded Metal Mesh

We report a terahertz (THz) metamaterial consisting of a metal mesh layer with nematic liquid crystals (LCs). The metal mesh has subwavelength apertures that function as a bandpass filter in the THz spectral range. The LCs are embedded and aligned homogeneously in the apertures. The electromagnetic characteristics were calculated with a finite-difference time-domain method. The metamaterial converts the polarization of the THz wave during transmission and the thickness of the LC layer can be reduced by two orders of magnitude relative to the homogeneously aligned LC without the meta-structures. This increases the response speed to applied external fields. We also fabricated the metamaterial using a dielectric substrate with a metal mesh layer, a nematic LC, and a dielectric substrate with a polymeric alignment layer and investigated its polarization conversion using THz time-domain spectroscopy. The experimental results demonstrated that metal mesh structures with LCs are useful for active THz polarization converters.
Femmes à risques: évolution de l'oncogénétique en pratique quotidienne : Analyse protéomique dans les formes précoces de cancer du sein

Il n’y a actuellement que peu de retombées pratiques de la biologie pour le dépistage, le pronostic et le traitement des cancers du sein. Récemment, se sont développées des méthodologies d’analyses génomique, transcriptomique et protéomique permettant des études biologiques systématiques, à grande échelle, qui pourraient avoir des retombées en pratique clinique. Les 30 000 gènes cellulaires produisent un nombre plus élevé d’ARNm ; le nombre de protéines produites est encore plus élevé mais seulement quelques milliers sont connues et leurs fonctions identifiées. À partir du génome humain, des ensembles différents de protéines sont produits, en fonction, par exemple, du cycle cellulaire, du développement, de la réponse à des signaux biologiques ou pharmacologiques, de l’état pathologique de la cellule. De plus, la plupart des protéines ne sont pas utilisées directement, elles subissent de nombreuses modifications pour devenir fonctionnelles (i.e. coupure enzymatique, greffage de sucre, amidation, phosphorylation, méthylation, acétylation, isoprénylation, etc.). Après les modifications coet post-traductionnelles, on estime le nombre potentiel de protéines différentes à environ cinq millions. Le protéome désigne l’ensemble des protéines exprimées par le génome d’une cellule, d’un tissu, ou d’un organe à un moment donné [1]. L’analyse protéomique vise à une étude globale de l’expression des protéines et de leurs modifications post-traduction-
PMU Cloud-based Applications for Power Systems Insight

It is widely accepted that future internet is developing grace to the availability of platforms (cloud-based) enabling deployment of a large range of applications, including connecting to Internet of Things (IoT), big data analysis, handling data context, monitoring applications and services etc. Recently, European Commission and major European ICT companies launched a program in order to define a platform that would be an open option for the development of applications in the Future Internet. FIWARE technology is an open source infrastructure which allows the development of such applications and create services on the Internet. This technology provides a set of open source and API-enabled tools, and has been chosen for development in the power engineering area. In this paper, first results of FIWARE handling information delivered by Phasor Measurement Units deployed on wide area in the Romanian power system are presented, as part of the ongoing project FISMEP. From the large number of potential practical applications, in this paper results from frequency and voltage monitoring are detailed.
Adaptive Control of DC Microgrid Using PI Controller and Fuzzy Inference

This paper proposes a DC bus voltage control of a microgrid composed by a photovoltaic (PV) array, a boost converter that integrates PV to the DC bus and a single-phase full-bridge bidirectional converter between the dc bus and the grid. Voltage control is done using an adaptive controller, which is composed by a PI controller and a Fuzzy controller. There is a control strategy that creates a basis for Fuzzy control rules and enables or disables the execution of a process in order to optimize the system and make it adaptable. The control of the power flow between a microgrid and an external grid is done by a proportional resonant controller. In the course of the article, there is a description of the microgrid elements, how they are designed, and the control strategy used for the adaptive DC bus voltage controller as well as the simulation scenarios. Finally, the results are presented, in which a response to perturbations and the controller microgrid performance are analyzed.
Multi-objective Approach for Power Quality Monitor Allocation with Symmetry in Short-Duration Voltage Variations

In this paper, we present a new approach for solving the problem of power quality monitors optimal allocation, for the monitoring of short-duration voltage variations (SDVVs) caused by a fault condition in a power grid system. The problem is treated in a multiobjective perspective with two optimal criteria: minimization of the number of power quality monitors (PQMs) and maximization of the number of identified faults. Non-identification of an event can occur as a result of symmetry conditions in the network, i.e., in cases where two or more faults generate the same signals in some buses, which leads to ambiguity in the monitoring results. Symmetry increases the complexity of both the problem formulation and solution. The problem is described as a multiobjective discrete optimization problem and is solved by the Algorithm for Bicriteria Discrete Optimization (ABCDO) within reasonable computational time. That approach was tested in power grids of different characteristics and sizes. The results demonstrate the proposed methodology applicability for solving the problem in real-size networks.
Particle Swarm Optimization of the GMPPT of Photovoltaic Energy Generation under Different Partial Shadding Conditions

The performance of a photovoltaic (PV) generation system (PGS) is directly associated with the irradiation incidence over the PV panel and the maximum energy will be delivered only for full panel illumination. However, when the PV panel (or strings of panels) operates under a partial shadowing condition (PSC), only a percentage of the maximum power will be delivered. This power can be even lower without a proper configuration of the conversion system. Therefore, we propose a partile swarm optimization (PSO) of the conversion system which improves the Maximum Power Point Tracking (MPPT) and ensures that the maximum power will be delivered despite of the partial shadowing condition.
Application of Battery Energy Storage System in Photovoltaic Power Plants Connected to the Distribution Grid

As the level of penetration of intermittent sources in the distribution network increases, the dynamism required to maintain the quality of the energy is proportionally higher as it affects the reliability, protection and operation of energy systems. An analysis of the literature shows that the Battery Energy Storage System (BESS) is a solution that has been attracted a lot of attention lately. The present work studies the implementation and the control of a BESS in a photovoltaic solar power plant connected to the electric grid, providing power control and offering reserve of energy in case of contingencies. The study is based on computational modeling and simulation using the Matlab/Simulink software and shows that with the insertion of BESS it is possible to provide a constant power to the network, mitigating the effects of generation fluctuations that are characteristic in photovoltaic generation.
Skin Lesion Segmentation by using Deep Learning Techniques

Skin cancer is a common disease among middle-aged and elderly white-skinned people. It is divided into many types in terms of medical criteria. Malign melanoma is one of the most dangerous and fatal cancer types, it can be treated if detected early. The main focus of this paper is to provide a precise, effective, robust and automated way to segment the lesion in order to facilitate the classification of the lesion with high accuracy during the early diagnosis of skin cancer. This process consists of two stages. In the first stage, image processing techniques (Image Enhancement, Linear Filtering, and Image Restoration) are used to obtain images free of artifacts such as hair and ruler marks. The second stage which is the important part of this paper is to modify a U-Net architecture and propose a 46-layered structure of U-Net to obtain a successful lesion segmentation rate. In this study, experiments were performed on two different U-Net architectures (U-Net 32, and U-Net 46).
Energy Efficient Snubber Networks

conventional snubber networks which are used to remove the stress from semiconductor devices during turning-on and turning-off are used to shape the switching locus to keep it within the Safe Operating Area (SOA) and to reduce the turn-on and turn-off switching losses in the switching devices. Usually a large snubber inductance or capacitance is found to be effective in reducing the dissipation in a resistor. It would be more efficient if, after extracting the switching energy from the semiconductor device, to feed this energy somewhere useful instead of dissipating it as a heat. By doing so, the overall efficiency of the converter would be improved. This is the aim of energy-efficient snubber circuits which is presented in this paper.
Techno-economic Analysis of Residential Thermal Flexibility for Demand Side Management

The continuing rise in solar and wind production leads to an increasing demand of flexibility to stabilize the electricity grid. Furthermore, we can assume a gradual but intensive rise in the use of electrical heatpumps for household spatial heating, for different reasons. Therefore, this paper investigates the feasibility and viability of entering the flexibility market by aggregating residential thermal loads. For this research, a dataset of 200 dwellings in the Netherlands, equipped with a heatpump and smart metering infrastructure, is analysed. By means of a grey-box modeling approach, a thermal model and control framework have been set up for every house, in order to identify the load shift potential and the accompanying cost of providing flexibility for the houses. We find that thermal flexibility is asymmetric: downwards flexibility is, apart from much more dependent on outdoor temperature than upwards flexibility, strictly lower than upwards flexibility. The cost for downwards flexibility is strictly negative in terms of the prosumer. Concerning upwards flexibility, the cost is most of the time positive. Moreover, it can be concluded that there is a potentially viable business case for the flexibility aggregator.
A Comprehensive Differential Protection Scheme for Delta Hexagonal Phase Angle Regulating Transformers

Differential protection suffers from some factors that affect its performance such as current transformers (CTs) saturation and inrush current. This paper presents a comprehensive differential protection scheme for delta hexagonal phase angle regulating transformers that considers these factors. The relay inputs are the transformer terminal currents and the position of the load tap changer. The relay operating and restraining currents are calculated depending on the calculation of the excitation currents. The excitation winding currents are calculated depending on the Kirchhoff's current law (KCL) and Ampere's circuital law for the delta hexagonal transformer. The second and the fifth order harmonics are calculated as indications of inrush current and core saturation, respectively. The used scheme makes the protection of this transformer similar to the protection of the two-winding power transformers that use two CTs per phase with the tap position. The results prove the possibility of generalizing this scheme for other types of phase angle regulating transformers.
Fuzzy Identity-Based Dynamic Auditing of Big Data on Cloud Storage

To ensure the reliability and integrity of data in the cloud storage server, some scholars provided various data integrity auditing schemes. However, the most existing data integrity auditing schemes only support the static data and may be unsuitable for the dynamic operations of data. To overcome this difficulty, we propose a fuzzy identity-based dynamic auditing of big data, which combines the structure of the Merkle hash tree (MHT) with the Index logic table (ILT). Our scheme not only performs the dynamic operations of data block in the ILT, namely modification, insertion and deletion, but also efficiently executes dynamic operations of the ILT on the structure of the MHT. We also elaborate the security, characteristics and performance analysis of the proposed scheme separately. The analysis results show that the proposed scheme costs less time than the structure of the original MHT to generate the root node hash value during the metadata generation phase and update the root node hash value during the dynamic operations. Furthermore, when users store the new ILT in local storage, they require lower communication cost to update root node hash value than users without storing the ILT, and fewer interactions between the cloud storage server and users in the dynamic operations process.
QoS-guaranteed User Association and Resource Allocation with CoMP JT in Ultra-Dense Networks

In the fifth-generation mobile network (5G), exponential growth in bandwidth requirements and massive connectivity have become new challenges. Ultra-dense network deployment is a promising technology to meet the needs of the future network. However, ultra-dense network deployment also caused significant interference between cells. Coordinated multipoint is a technology proposed by 3GPP to reduce interference between cells effectively. To this end, we propose a novel method for user association and resource allocation based on coordinated multipoint. First, a cell-filtering method is proposed to preserve the high resource efficiency connection. Second, location-based and load-based clustering is used in our method to reduce network complexity. Depend on the results of clustering, a competition-based resource allocation scheme is proposed for intra-cluster and inter-cluster resource allocation. At the end of our method, connection tuning algorithm is performed to maximize the number of users who meet their Qu's requirements through resource reallocation. The goal of our proposed method is to maximize the number of users who meet their Qu's requirements. Simulation results show that compared with traditional resource allocation methods, the proposed method has better performance of Qu's satisfaction rate.
Genetic Algorithm Parameters Effect on the Gear Drive System

Using conventional optimization techniques is not a good solution for problem optimization. In this study, the non-traditional technique called Genetic Algorithm (GA)has been used in the design optimization of the gear drive system. It aimed to investigate the effects of the GA parameters on the performance of the optimum design of the gearbox by obtaining a minimal weight. The most significant of these parameters were population size, selection type, crossover and mutation operators, and penalty function. The GA has been applied to the gearbox with two-stage, one was an epicyclical gear train with spur gears and the second one was a simple gear train, with respect of bending strength constraint, contact stress constraint, balance constraints for the planetary gear train and some dimension constraints for gears. The obtained results indicate that GA can be used reliably in machine element design problems and each parameter of them have been a great influence on the final solution.
Motor Variants for Light EV Optimized based on Hybrid Evolutionary Algorithm

The paper depicts an design approach for the proposition of a new propulsion unit for a light electric vehicle (EV). For the given main data of the application, four motor variants are studied, numerically evaluated based on finite element method (FEM) and compared in terms of performances. The best suited variant is finally optimized based on evolutionary algorithm and numerically validated with respect to the application demands.