Miracle-dz/UniFAR-FTUs huggingface dataset:
Movie Recommender System Based on Percentage of View

with ever-increasing data on the internet, finding the desired content has become harder and that is why recommender systems’ role is very important in business. As a specific example, media service providers, such as Netflix, can improve their service by recommending desirable content to each user. Most of the previous studies used explicit feedback of users, through likes and dislikes, to recommend items to their customers. However, in many cases, there is not much explicit feedback about items which cripples typical recommender systems to operate efficiently and provide accurate recommendation. In this paper, a percentage of view approach is proposed to find relevant movies for customers. To prove the effectiveness of the approach, first, it is shown that this feature can be a good indicator of users’ like and dislike. Then the best approach is determined and used in a recommender system for Namava, a media service provider. Then the performance of this recommender system is compared to a random recommender system and the effectiveness of the approach is shown.
A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

The fifth generation (5G) of mobile communication system aims to deliver a ubiquitous mobile service with enhanced quality of service (QoS). It is also expected to enable new use-cases for various vertical industrial applications—such as automobiles, public transportation, medical care, energy, public safety, agriculture, entertainment, manufacturing, and so on. Rapid increases are predicted to occur in user density, traffic volume, and data rate. This calls for novel solutions to the requirements of both mobile users and vertical industries in the next decade. Among various available options, one that appears attractive is to redesign the network architecture—more specifically, to reconstruct the radio access network (RAN). In this paper, we present an inclusive and comprehensive survey on various RAN architectures toward 5G, namely cloud-RAN, heterogeneous cloud-RAN, virtualized cloud-RAN, and fog-RAN. We compare them from various perspectives, such as energy consumption, operations expenditure, resource allocation, spectrum efficiency, system architecture, and network performance. Moreover, we review the key enabling technologies for 5G systems, such as multi-access edge computing, network function virtualization, software-defined networking, and network slicing; and some crucial radio access technologies (RATs), such as millimeter wave, massive multi-input multi-output, device-to-device communication, and massive machine-type communication. Last but not least, we discuss the major research challenges in 5G RAN and 5G RATs and identify several possible directions of future research.
Efficient Hardware Acceleration for Design Diversity Calculation to Mitigate Common Mode Failures

This paper presents an FPGA-based hardware acceleration of the design diversity calculation to build robust redundant hardware systems against common model failures. We exploit the benefits of C-based VLSI design to generate a design pool of micro-architectures with unique characteristics from the same behavioral description. To identify the most diverse design pairs from this massive design pool, a computationally-intensive fault-injection based process is needed. Thus, in this work, we leverage the use of FPGAs to accelerate the design diversity calculation. Experimental results show an average of 2x speedup compared to a traditional software implementation. We also show that much higher speedups can be achieved when using larger FPGAs that can host a larger pool of designs.
Underwater Object Segmentation Integrating Transmission and Saliency Features

Various types of knowledge and features have been explored for level set-based segmentation. On the ground, the prior knowledge and carefully-designed features perform well to identify the foreground–background contrast, which improves the performance of the segmentation method for complicated and distorted data. However, this is not the case for underwater environments, since the features available on the ground are not suitable for challenging underwater environments. Thus, underwater image segmentation currently lags behind ground-based segmentation. In this paper, novel cues and a suitable model formulation for object segmentation from underwater images are proposed. We consider the special haze effect over underwater images and extract an informative feature (transmission feature) from haze condensation. The saliency feature is also used for underwater object segmentation. Consequently, in our method, the object-background difference can be presented by these features on two levels, i.e., the edge-level transmission and region-level saliency features. These two types of features are integrated into a unified level set formulation to propose a solution that handles the challenging issues in underwater object segmentation. The experimental comparisons of our method with other methods comprehensively demonstrate the satisfactory performance of our method.
Gate Drive Design for a Hybrid Si IGBT/SiC MOSFET Module

In this paper, the hybrid switch (HyS) consisting of the paralleled Silicon (Si) Insulated Gate Bipolar Transistor (IGBT) and Silicon Carbide (SiC) Metal-Oxide Semiconductor Field-Effect Transistor (MOSFET) is packaged into a compact phase-leg module. A novel index is proposed to select the optimal switching pattern to minimize the power loss of the HyS and guarantee the reliability. Gate drive is designed and the details of the layout and installation of the gate drive board are introduced. Based on the HyS module, a 3.3kW/50 kHz wireless power transmission system is set up.
Air Tracking and Monitoring For Unmanned Aircraft Traffic Management

The large increase in the sale of drones as well as their use in more and more aspects of daily life has led to the emergence of increasingly voices warning of the need to track and monitoring these drones. The prototype UTM monitoring system to be described in this paper is aimed to address this problem. It is implemented as a microservice to be inserted in a complete UTM SW ecosystem, processing telemetry and other sensors position/velocity information to be able to track, monitor and control the good operation and thus avoid the possible conflicts or accidents that can cause due to a bad use or malfunction of them. This prototype may also allow the analysis of the performance without putting at risk neither people nor material goods since all drone data may be simulated. Also, it has been tested using real data from industrial multirotors.
Secured revocable contactless fingerprint template based on center of mass

We propose an algorithm to secure a model stored in a database to reduce the risk of identity theft. It will first determine the coordinates of the center of mass of the image of the registered biometric fingerprint which is the central (reference) point after having defined the area of interest of size $N \times M$ having the munities (main features characteristics of the image). A spiral curve is constructed from the distance between the center of mass and each of the munities contained in the image using the modified Hausdorff distance. The spiral curve obtained is subjected to a transformation (translation+rotation).
Monitoring and Telemanagement System of Electric Consumption in Residential Loads Based on an IoT Architecture

In this article, we present a system that allows monitoring the energy consumption of electric loads in the residential sector. The system consists of sensor nodes that are responsible for monitoring both current and voltage and send them to a database hosted on a Raspbian server through an IoT communication protocol. The monitored data can be visualized in an IoT interface by graphs of the daily, weekly and monthly energy consumption developed through Atom and complements such as Highcharts. Additionally, reports can be generated with the total kilowatt-hours consumed at the end of the month and the total cost for the service. An important feature of the prototype is that by means of remote management it allows activating or deactivating the passage of energy towards the loads connected to the system. In this way, it is possible to have an adequate control of energy consumption in the home in order to promote energy efficiency and decrease expenses for the payment of electric service.
Impact of Emitter Thermal Shunt for InP-based Double-Heterojunction Bipolar Transistors on SiC Substrate

We fabricated InP-based Au-subcollector DHBTs with an emitter thermal shunt (ETS) on a high-thermal-conductivity SiC substrate, intending to improve their reliability by reducing their thermal resistance (Rth). A fabricated a 0.35-$\mu \text{m}$-wide-emitter DHBT with an ETS showed Rth of 766 W/K, which is 18% lower than that of a DHBT without it. This result indicates that incorporating the ETS into Au-subcollector DHBTs is effective for reducing the junction temperature.
Three-Phase Buck Rectifier Based on SiC MOSFETs Used in Power Factor Correction

This paper presents a power factor correction (PFC) module based on SiC MOSFETs and SiC Schottky diodes for aircraft power system. The structure of the PFC module is a three-phase buck rectifier cascade with a DC/DC boost converter. The first stage of the structure can attenuate the harmonic current in grid side current and realize the unity power factor. The second stage is a boost converter to convert the first stage output 200V DC voltage to output 270V DC voltage. This two stages cascade structure can also fully use the characteristics of three-phase buck rectifier’s ability to limit the current when an output short circuit happened and extend output voltage range. A three-loop direct current control strategy based on the dq rotating coordinate system is proposed. This control strategy can successfully maintain the output voltage of the three-phase buck rectifier. In addition, applying seven-segment SVPWM modulation scheme can improve the utilization rate of the dc current, so that the system can realize higher power level. A 115Vacrms/400Hz input voltage PFC module model is built in Simulink/MATLAB, and the simulation results proof the feasibility of this cascade structure and three-loop direct current control strategy. A 115Vacrms/50Hz input voltage, 1.5kW 200V output, 0.97 power factor, THD of the grid side current below 0.05 three-phase buck rectifier prototype based on SiC MOSFET and SiC Schottky diode (SBD) has been built up in lab. A low power whole PFC module prototype verify the effectiveness of this proposed cascade structure.
A Reliable Algorithm Based on Combination of EMG, ECG and EEG Signals for Sleep Apnea Detection : (A Reliable Algorithm for Sleep Apnea Detection)

Sleep Apnea Syndrome is one of the most common and dangerous causes of sleep disorder that the suspected patients are tested (examined) by recording various types of vital signals during sleep using polysomnography (PSG). Since human body rhythms have a chaotic and non-linear behavior, the nonlinear analysis of body parameters provides the researchers with valuable information about body behavior during the disease and its comparison with the normal state for a more accurate examination of the diseases. The purpose of this is to diagnose apnea events using linear and nonlinear analyses and combining the EMG, ECG and EEG signals in patients with Obstructive Sleep Apnea (OSA). The research data are obtained by the Physionet database including 25 subjects (21 males and 4 females). After performing the pre-processing phase to remove the noise related to EMG, ECG, EEG and artifact signals based on the corresponding algorithms, the healthy and apnea sleep ranges are separated from one another. Linear and nonlinear analyses in MATLAB environment are performed on signals and conditions which are evaluated in healthy sleep and during sleep apnea at different stages of sleep in patients with OSA by multilayer perceptron classifier. The best result of the proposed algorithm obtained by combining the signals and the specificity, sensitivity and accuracy values are 96.87 ± 1.78, 97.14 ± 2.24 and 98.09 ± 2.15 respectively. The results show that the proposed algorithm can help doctors and nurses as a diagnostic tool with more accuracy than similar techniques.
Downward Wave Coupling between the Stratosphere and Troposphere: The Importance of Meridional Wave Guiding and Comparison with Zonal-Mean Coupling

The nature of downward wave coupling between the stratosphere and troposphere in both hemispheres is analyzed using the 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40) dataset. Downward wave coupling occurs when planetary waves reflected in the stratosphere impact the troposphere, and it is distinct from zonal-mean coupling, which results from wave dissipation and its subsequent impact on the zonal-mean flow. Cross-spectral correlation analysis and wave geometry diagnostics reveal that downward wave-1 coupling occurs in the presence of both a vertical reflecting surface in the mid-to-upper stratosphere and a high-latitude meridional waveguide in the lower stratosphere. In the Southern Hemisphere, downward wave coupling occurs from September to December, whereas in the Northern Hemisphere it occurs from January to March. A vertical reflecting surface is also present in the stratosphere during early winter in both hemispheres; however, it forms at the poleward edge of the meridional waveguide, which is not confined to high latitudes. The absence of a high-latitude waveguide allows meridional wave propagation into the subtropics and decreases the likelihood of downward wave coupling. The results highlight the importance of distinguishing between wave reflection in general, which requires a vertical reflecting surface, and downward wave coupling between the stratosphere and troposphere, which requires both a vertical reflecting surface and a high-latitude meridional waveguide. The relative roles of downward wave and zonal-mean coupling in the Southern and Northern Hemispheres are subsequently compared. In the Southern Hemisphere, downward wave-1 coupling dominates, whereas in the Northern Hemisphere downward wave-1 coupling and zonal-mean coupling are found to be equally important from winter to early spring. The results suggest that an accurate representation of the seasonal cycle of the wave geometry is necessary for the proper representation of downward wave coupling between the stratosphere and troposphere.
A Prototype Auction-based Mechanism for Computation Offloading in Fog-cloud Environments

One of the significant issues in fog computing environments is computation offloading. In order to do this process, the communications between the fog and cloud nodes should be investigated. In the literature, a great body of research exists in which the researchers proposed numerous optimization methods regard the subject of offloading in fog networks. These proposals have been implemented taking into account service level agreements (SLAs). In this paper, we propose an optimization method for modeling the interactions of offloading process using rich theory of microeconomics. We model the offloading interactions based on auction mechanism. Then, we modelled and formulated the communications between fog nodes and the cloud entity. Our model takes into account the specifications and limitations of the underlying physical infrastructure such as paths and capacity of each path. These paths are used during computation offloading operations. In our proposed auction economy, the bandwidth of physical links plays the role of the commodity. Finally, the auction is run between the cloud and fog nodes as provider and consumer respectively.
Improving Wide-Angle Scanning Performance of Phased Array Antenna by Dielectric Sheet

The method to improve the wide-angle scanning performance of the phased array antenna is studied and presented. The proposed method is realized by the dielectric sheet to reduce the size of the wide beam antenna and mutual coupling between the elements in the array antenna. The size of the antenna element is reduced by the dielectric sheet which is arranged on the top of the feed slot. The mutual coupling of the array antenna is improved by the dielectric sheet. And, the wide-angle impedance matching performance is improved by the above method. The operating frequency band of the E- and H-plane-phased array antennas is from 3.2 to 3.8 GHz. The main beams of the E-plane scanning array antenna can scan from −90° to +90° with the gain variation less than 3 dB. The main beams of the H-plane scanning array antenna can scan from −70° to +70° with the gain variation of less than 3 dB. The E- and H-plane scanning linear array antennas with nine elements are fabricated and tested. The measured results have a good agreement with the simulated results.
Smart home energy management, using IoT system

Internet of Things (IoT) examination is a fundamental intend to determine information and bolster applications for smart (brilliant) homes. Associated apparatuses and gadgets inside the shrewd home produce a lot of information about buyers and how they approach their day by day exercises. IoT investigation can help in customizing applications that advantage the two property holders and the consistently developing businesses that need to take advantage of purchasers' profiles. This article shows another stage that empowers imaginative examination on IoT caught information from keen homes. We propose the utilization of mist hubs and cloud framework to permit information driven administrations and address the difficulties of complexities and asset requests for on the web and disconnected information handling, stockpiling, and arrangement investigation. Along these lines, vitality checking, the executives, and productivity are of most extreme significance to improve the power division of any economy. An answer for the developing issue of vitality checking and the board is a shoddy and shrewd power attachment that could demonstrate the clients the measure of vitality they invest at each point in energy for terms). The attachment permits u by exchanging their gadgets home apparatuses are additionally set vitality profiles for various vitality productive options district, utilizing astute web frameworks. The Smart Socket utilizes the IoT idea of brilliant metering to gauge key vitality utilization information and will send prompt information to a web server to be spared to a database and gotten to by allowed clients. This undertaking principally addresses the requirement for access to information and legitimate data in settling on educated choices concerning vitality the board and utilization.
PHOSPHATE SOLUBILIZING MICROBES: AN EFFECTIVE AND ALTERNATIVE APPROACH AS BIOFERTILIZERS

It is undoubtedly clear that phosphorus is the second most important nutrient after nitrogen required for growth of plants. It is an essential element in all living systems. Hardly 1%-2% of phosphorous is supplied to other parts of the plants. Plants acquire phosphorus from soil solution in the form of phosphate anion. It is the least mobile element in plant and soil in comparison to other macronutrients. It remains in a precipitated form in the soil as mono or orthophosphate or is absorbed by Fe or Al oxides through legend exchange. Generally, the phosphate solubilizing microorganisms (PSM) play a very important role in phosphorus nutrition by exchanging its availability to plants through release from inorganic and organic soil phosphorus pools by solubilization and mineralization. The main mechanism in the soil for mineral phosphate solubilization is by lowering the soil pH by the microbial production of organic acids and mineralization of organic phosphorus by acid phosphates. To fulfill the phosphorous demand of plant, an additional source of phosphorous is applied to plants in the form of chemical fertilizers. One of the most common forms of phosphate is fertilizers in the form of rock phosphate or superphosphate. It is not suggested to apply these phosphates directly to soil as there are so many environmental problems. Hence, biofertilizers or microbial inoculants are used as an alternate source, which are both economic as well as eco-friendly.
Third and fifth harmonic responses in viscous liquids

We review the works devoted to third and fifth harmonic susceptibilities in glasses, namely and . We explain why these nonlinear responses are especially well adapted to test whether or not some amorphous correlations develop upon cooling. We show that the experimental frequency and temperature dependences of and of have anomalous features, since their behavior is qualitatively different to that of an ideal dipolar gas, which is the high temperature limit of a fluid. Most of the works have interpreted this anomalous behavior as reflecting the growth, upon cooling, of amorphously ordered domains, as predicted by the general framework of Bouchaud and Biroli (BB). We explain why most—if not all—of the challenging interpretations can be recast in a way which is consistent with that of BB. Finally, the comparison of the anomalous features of and of shows that the amorphously ordered domains are compact, i.e. the fractal dimension df is close to the dimension d of space. This suggests that the glass transition of molecular liquids corresponds to a new universality class of critical phenomena.
Methodological Framework Based on Digital Technologies for the Implementation of Industry 4.0 in SMEs

The Industry 4.0 or also called the Fourth Industrial Revolution is the digitalization of the manufacturing world through the use of Information and Communication Technologies (ICT)in manufacturing processes, through the change of the traditional pyramid model of automation to a model of interconnected services through connecting systems and sharing data to gain efficiency and improve productivity, generating an ecosystem among clients, suppliers and producers. This change is described as disruptive and has already been implemented in large companies such as Siemens, Volkswagen, among others. In practice, SMEs are part of this new ecosystem and must also adopt Industry 4.0. Germany a leading country of the Fourth Industrial Revolution has support programs for SMEs, Spain has also allocated economic resources for this purpose, however, a formal methodology based on digital technologies for the implementation of Industry 4.0 in SMEs is not yet known.
5G Software-Defined Heterogeneous Networks With Cooperation and Partial Connectivity

The heterogeneous network composed of small cell base stations (SCBSs) and macro base stations (MBSs) has been widely deployed to alleviate the load of conventional MBSs, which may also cause severe interference and large energy consumption. The existing literature generally focus on the heterogeneous networks either without cooperation or with cross-tier cooperation. In this paper, we introduce a central controller and mobile edge cloud (MEC) servers and propose a heterogeneous network with SCBSs cooperation, i.e., the intra-tier cooperation. A novel load balancing metric instead of the simple access probability ratio is introduced. Based on the utility theory, we comprehensively evaluate several important performance metrics such as connectivity probability, load balancing, and energy efficiency to optimize the overall performance of the network. Moreover, in the special case of allowing partial connectivity, the discrete stochastic optimization algorithm is proposed so that the software-defined networks (SDNs) controller can adjust network parameters with the help of MEC servers to maximize the overall energy efficiency. The simulation results demonstrate that our proposed approach is valid to optimize the network in accordance with the user requirements. This paper provides a useful reference for the practical deployment of software-defined heterogeneous networks where the energy efficiency is increasingly becoming a key concern.