Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancement of dynamic wireless power transfer system by model predictive control

Wireless power transfer (WPT) system based on a dynamic wireless charging (DWC) scheme, eliminates waiting time for charging electric vehicles (EVs), increases the range of motion, reduces the size of Li-ion battery, and automates the charging process. In the DWC method, an EV frequently passes the charger transmitter pads at maximum speed to charge the onboard battery. The charger must have a quick and smooth transient response that employs the proper charging strategy for the battery. Here, a model predictive controller (MPC) is proposed to deploy a suitable DWC based on constant current/voltage (CC/CV) charging protocol. The designed MPC functionality is demonstrated by simulation and experimental results for both CC/CV strategies while battery state of charge (SOC) is estimated by a simple and stable technique in the primary side. The applied CC/CV MPC scheme performs properly in all conditions with a fast critically damped start-up, which makes it a potential choice to charge EV in dynamic and static modes. The simulation results of the proposed controller are veriﬁed by implementing a 90 W WPT testbed at 85.5 kHz switching frequency and 100 mm coils’ air gap.
A hybrid electromagnetic shock absorber for active vehicle suspension systems

The use of electromagnetic dampers (ED) in vehicle active suspension systems has drawn considerable attention in the past few years, attributed to the fact that active suspension systems have shown superior performance in improving ride comfort and road handling of terrain vehicles, compared with their passive and semi-active counterparts. Although demonstrating superb performance, active suspensions still have some shortcomings that must be overcome. They have high energy consumption, weight, and cost and are not fail-safe in case of a power breakdown. The novel hybrid ED, which is proposed in this paper, is a potential solution to the above-mentioned drawbacks of conventional active suspension systems. The proposed hybrid ED is designed to inherit the high-performance characteristics of an active ED with the reliability of a passive damper in a single package. The eddy current damping effect is utilised as a source of the passive damping. First, a prototype ED is designed and fabricated. The prototype ED is then utilised to experimentally establish the design requirements for a real-size active ED. This is accomplished by comparing its vibration isolation performance in a 1-DOF quarter-car test rig with that of a same-class semi-active damper. Then, after a real-size active ED is designed, the concept of hybrid damper is introduced to the damper design to address the drawbacks of the active ED. Finally, the finite-element method is used to accurately model and analyse the designed hybrid damper. It is demonstrated that by introducing the eddy current damping effect to the active part, a passive damping of approximately 1570 Ns/m is achieved. This amount of passive damping guarantees that the damper is fail-safe and reduces the power consumption more than 70%, compared with an active ED in an automotive active suspension system.
Investigation of Viral Load Cycle Threshold Values in Patients with SARS-CoV-2 Associated Pneumonia with Real-Time PCR Method.

INTRODUCTION In this study, we aimed investigate the relationship of SARS-CoV-2 viral load cycle threshold (Ct) values with pneumonia. METHODOLOGY A total of 158 patients in whom SARS-CoV-2 was confirmed in upper respiratory tract (URT) samples with molecular method and who had computed tomography (CT) of the chest, between April 2020 and June 2020 were included in this retrospective cross-sectional study. RESULTS Mean age of 158 PCR positive patients was 45.22 ± 17.89 and 60.8% of them were male. Pneumonia was detected in 40.5% of the patients on their chest CT. A weak but significant correlation was found between SARS-CoV-2 Ct value detected with PCR in analysis of oropharyngeal/ nasopharyngeal (OP/NP) samples and chest CT score (Pearson's r: 0.197, p = 0.01). No correlation was found between the first detected viral load Ct value and age, gender and mortality. There was no significant correlation between chest CT score and mortality. While the areas remaining under ROC curve for Ct value in analysis of OP/NP samples in prediction of chest CT score ≥ 1, ≥ 5 and ≥ 10 were 0.564, 0.640 and 0.703 respectively. CONCLUSIONS We found that the amount of SARS-CoV-2 viral load (inverse relationship with Ct) detected in OP/NP samples of patients with COVID-19 pneumonia did not reflect the increasing severity of pulmonary lesions on chest CT. Although primary target of SARS-CoV-2 is all epithelial cells of the respiratory tract we believe studies comparing viral loads in lower respiratory tract samples are needed to determine the severity of pulmonary disease.
Electrical optimization of power delivery through thick steel barriers using piezoelectric transducers

In many commercial, industrial, and military applications, supplying power to electronics through a thick metallic barrier without compromising its structural integrity would provide tremendous advantages over many existing barrier-penetrating techniques. The Faraday shielding presented by thick metallic barriers prevents the use of electromagnetic power-transmission techniques. This work describes the electrical optimization of continuouswave power delivery through thick steel barriers using ultrasound. Ultrasonic channels are formed by attaching pairs of coaxially-aligned piezoelectric transducers to opposite sides of thick steel blocks. The thickness of the steel considered is on the order of, or greater than, one quarter wavelength of the acoustic power signal inside of steel, requiring the use of wave propagation theory to properly analyze the system. A characterization and optimization methodology is presented which measures the linear two-port electrical scattering parameters of the transducersteel- transducer channel. Using these measurements, the simultaneous conjugate impedance-matching conditions at both transducers are calculated, and electrical matching-networks are designed to optimize the power transfer from a 50Ω power amplifier on one side of the steel block to a 50Ω load on the opposite side. In addition, the impacts of, and interactions between, transducer and steel geometries are discussed, and some general guidelines for selecting their relationships are presented. Measurements of optimized systems using transducers designed to resonate at 1 MHz with diameters from 12.7 mm to 66.7 mm, and steel block thicknesses from 9.5 mm to 63.5 mm, reveal power transfer efficiencies as high as 55%, and linear delivery of 81 watts through an optimized channel.
Wide-swath SAR

For a conventional spaceborne SAR, the amount of ground coverage in the across-track direction is limited by fundamental SAR operating constraints as well as technological limitations. If wider swath coverage is required, then nonconventional modes of SAR operation must be considered. The general SAR swath widening problem is summarised and various wide-swath modes are described. The authors deal with conceptual performance, as opposed to technological implementation, and concentrate on systems that exploit the beam-forming versatility made possible by utilising phased-array antennas. The various options are compared with respect to overall performance and suggestions are made as to system selection given different performance requirements. >
A modular, layered client-server control architecture for autonomous mobile robots

The task of implementing intelligent control in autonomous mobile robots is a tough one. Often, one wants to reuse parts of other implementations but these are usually too hardware-specific to be transferred to a different platform. By applying well-known software engineering principles, the authors arrive at a modular, layered client server based architecture for controlling autonomous mobile robots. In this paper, they present the most important concepts underlying their development. Special care is taken of the integration of a wireless communication link relying on DECT, the Digital Enhanced Cordless Telecommunication system. Their approach gives better reusability, portability, testability and maintainability through data abstraction. It was successfully applied in their experimental platform ARS.
Analysis of Current Conveyor based Switched Capacitor Circuits for Application in ∆Σ Modulators

The reduction in supply voltage, loss of dynamic range and increased noise prevent the analog circuits from taking advantage of advanced technologies. Therefore the trend is to move all signal processing tasks to digital domain where advantages of technology scaling can be used. Due to this, there exists a need for data converters with large signal bandwidths, higher speeds and greater dynamic range to act as an interface between real world analog and digital signals. The Delta Sigma (∆Σ) modulator is a data converter that makes use of large sampling rates and noise shaping techniques to achieve high resolution in the band of interest. The modulator consists of analog integrators and comparators which create a modulated digital bit stream whose average represents the input value. Due to their simplicity, they are popular in narrow band receivers, medical and sensor applications. However Operational Amplifiers (Op-Amps) or Operational Transconductance Amplifiers (OTAs), which are commonly used in data converters, present a bottleneck. Due to low supply voltages, designers rely on folded cascode, multistage cascade and bulk driven topologies for their designs. Although the two stage or multistage cascade topologies offer good gain and bandwidth, they suffer from stability problems due to multiple stages and feedback requiring large compensation capacitors. Therefore other low voltage Switched-Capacitor (SC) circuit techniques were developed to overcome these problems, based on inverters, comparators and unity gain buffers. In this thesis we present an alternative approach to design of ∆Σ modulators using Second Generation Current Conveyors (CCIIs). The important feature of these modulators is the replacement of the traditional Op-Amp based SC integrators with CCII based SC integrators. The main design issues such as the effect of the non-idealities in the CCIIs are considered in the operation of SC circuits and solutions are proposed to cancel them. Design tradeoffs and guidelines for various components of the circuit are presented through analysis of existing and the proposed SC circuits. A two step adaptive calibration technique is presented which uses few additional components to measure the integrator input output characteristic and linearize it for providing optimum performance over a wide range of sampling frequencies while maintaining low power and area. The presented CCII integrator and calibration circuit are used in the design of a 4th order (2-2 cascade) ∆Σ modulator which has been fabricated in UMC 90nm/1V technology through Europractice. Experimental values for Signal to Noise+Distortion Ratio (SNDR), Dynamic Range (DR) and Figure Of Merit (FOM) show that the modulator can compete with state of art reconfigurable Discrete-Time (DT) architectures while using lower gain stages and less design complexity.
Modeling of Low Cycle Behavior of P92 Steel Based on Cyclic Plasticity Constitutive Equations

Strain controlled uniaxial low cycle fatigue (LCF) tests of P92 steel were conducted at strain amplitudes of 0.4%, 0.6% and 0.8% in fully reversed manner with strain rate of 1.0×10-3s-1 at high temperature of 650 °C. Cyclic softening behavior was studied and time-independent cyclic plasticity model was used to represent the cyclic mechanical behavior of this steel. Material parameters were determined step by step at higher strain amplitude of 0.8%, experimental data with lower strain amplitude were used to validate the extrapolation of the model. Comparison of the simulated and experimental results shows that the proposed model can give a reasonable prediction of stress-strain hysteresis loop for P92 steel at high temperature.
SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL DATA USING 3D-2D CONVOLUTIONAL NEURAL NETWORK AND INCEPTION NETWORK

Hyperspectral imaging (HSI) classification has recently become a field of interest in the remote sensing (RS) community. However, such data contain multidimensional dynamic features that make it difficult for precise identification. Also, it covers structurally nonlinear affinity within the gathered spectral bands and the related materials. To systematically facilitate the HSI categorization, we propose a spectral-spatial classification of HSI data using a 3D-2D convolutional neural network and inception network to extract and learn the in-depth spectral-spatial feature vectors. We first applied the principal component analysis (PCA) on the entire HSI image to reduce the original space dimensionality. Second, the exploitation of the spatial hyperspectral input features contiguous information by 2-D CNN. Besides, we used 3-D CNN without relying on any preprocessing to extract deep spectral-spatial fused features efficiently. The learned spectral-spatial characteristics are concatenated and fed to the inception network layer for joint spectral-spatial learning. Furthermore, we learned and achieved the correct classification with a softmax regression classifier. Finally, we evaluated our model performance on different training set sizes of two hyperspectral remote sensing data sets (HSRSI), namely Botswana (BT) and Kennedy Space Center (KSC), and compared the experimental results with deep learning-based and state-of-the-art (SOTA) classification methods. The experiment results show that our model provides competitive classification results with state-of-the-art techniques, demonstrating the considerable potential for HSRSI classification.
Performance assessment of multivariate control loops on a paper‐machine headbox

A large number of control loops in the pulp and paper industry are multivariate in nature. The main control objective of these loops is to reduce process variation. The satisfactory performance of these loops is therefore important for maintaining product quality. This paper introduces a multivariate performance measure of such control loops. The multivariate minimum variance control performance which provides an absolute lower bound on process variance can be estimated from routine operating data, and serves as a good benchmark to assess control loop performance. The proposed measure of performance is evaluated by application to the multiloop control of a headbox machine. Un nombre important de boucles de controle dans l'industrie des pâtes et papiers sont par nature multivariees. Le principal objectif de controle de ces boucles est de reduire la variation des procedes. La bonne performance de ces boucles est par consequent importante pour maintenir la qualite des produits. Dans cet article, on presente une mesure des performances multivariees de ces boucles de controle. La performance du controle des variances minimales multivariees, qui fournit une limite inferieure absolue sur la variance des procedes, peut etre estimee a partir des donnees de fonctionnement habituelles, et elle constitue un bon point de repere pour evaluer la performance des boucles de controle. La mesure de performance proposee est evaluee par l'application au controle de multiboucles d'une caisse de tete.
Tyre Modelling for Use in Vehicle Dynamics Studies

A new way of representing tyre data obtained from measurements in pure cornering and pure braking conditions has been developed in order to further improve the Dynamic Safety of vehicles. The method makes use of a formula with coefficients which describe some of the typifying quantities of a tyre, such as slip stiffnesses at zero slip and force and torque peak values. The formula is capable of describing the characteristics of side force, brake force and self aligning torque with great accuracy. This mathematical representation is limited to steady-state conditions during either pure cornering or pure braking and forms the basis for a model describing tyre behaviour during combined braking and cornering.
Race and non-electoral political participation in Brazil, South Africa, and the United States

Abstract This paper examines the context-dependent role of race as a predictor of non-electoral political participation. Prior country-level studies have documented group-level differences in a variety of forms of participation in South Africa and the United States, but have found few to no differences in Brazil. Why are members of one group more engaged in certain political activities than members of other groups only in specific contexts? Why do members of socioeconomically deprived groups, such as non-Whites, participate more than better-off groups in acts that require group mobilization in South Africa and the United States but not in Brazil? Results from the World Values Survey and the International Social Survey Programme show that Blacks and Coloureds in South Africa and Blacks in the United States participate more than Whites in activities that demand prior organization and mobilization, whereas group differences are negligible in Brazil. I argue that (1) race as a driver of political mobilization is conditional on the existence of politicized racial identities; (2) members of groups that share a strong collective identity participate in direct political action more than predicted by their socioeconomic background; (3) politicization of identities is the product of racial projects that deploy the state apparatus to enforce group boundaries for the implementation of segregationist policies as well as the reactions against them; and (4) by enforcing group boundaries, those systems unintentionally create the conditions for the formation of politicized group identities. In the absence of such requisites, political mobilization along racial lines would be weak or nonexistent.
Realization of nano-order static strain resolution in FBG sensors using narrow linewidth tunable laser sources: theoretical analysis

The resolution of FBG static strain sensor interrogated with a narrow linewidth tunable laser is theoretically analyzed. The main noise sources of the sensor are analyzed. The expression of the resolution is deduced with crosscorrelation algorithm. The calculated resolution agrees well with previous experimental result, and the analysis is further validated by numerical simulation. Based on the deduced expression of resolution, the guidelines to optimize the sensor for realization of high resolution are given in detail. It is shown that with properly designed FBG and interrogation system, nano-order static strain resolution can be realized as we demonstrated in experiment recently.
Macroscopic Travel Time Reliability Diagrams for Freeway Networks

Travel time reliability is considered to be one of the key indicators of transport system performance. Knowledge of the mechanisms of travel time unreliability enables the derivation of explanatory models with which travel time reliability can be predicted and utilized in traffic management. Inspired by the macroscopic fundamental diagram (MFD), describing the relationship between production (average flow completing the trips) and vehicle accumulation (average density) in a traffic network, this paper investigates a macroscopic travel time reliability diagram (MRD) relating the travel time reliability to the network accumulation. The MFD relationship has potential because it characterizes the state of an entire traffic network with just two (production and accumulation) or three (adding spatial variability of accumulation) state variables. Likewise, the MRD describes the network travel time reliability as a function of just one independent state variable (network accumulation). Empirical analyses were performed to investigate the variability in MFD as seen in scatters and to show the travel time reliability in relation to the network accumulations. Traffic data from Dutch freeway networks were employed to facilitate the analyses. With the MRD for different freeway networks, it was found that a critical travel time reliability accumulation existed, below which network accumulation had little or no impact on travel time reliability and above which it had a significant impact. Also, the critical travel time reliability accumulation was, in general, lower than the critical MFD accumulation. These findings provide insights for road authorities in how to make trade-offs in traffic management between maximum production and travel time reliability.
Application Research of Intelligent Monitoring System Based on Abnormal Events

In order to meet the needs of the construction information industry base, enhance their ability to serve the community, and improve scientific research projects of market-oriented level, then develop family-oriented and school-based intelligent monitoring software system, the development of new products in the smart camera and mobile video surveillance and development of new technologies are developed. It is considered that the electronic information industry needs to develop intelligent monitoring technology industry, the video compression technology and the use of mobile and existing wireless networks are made, such as efforts are used to complete the smart cameras and mobile video surveillance system development, so the development of application research has implemented the front of video surveillance intelligence information collection, transmission of video signals in real time, real-time wireless video signal transmission and other tasks.
Analysis on influence of guide vanes closure laws of pump-turbine on load rejection transient process

In load rejection transient process, the sudden shut down of guide vanes may cause units speed rise and a sharp increase in water hammer pressure of diversion system, which endangers the safety operation of the power plant. Adopting reasonable guide vane closure law is a kind of economic and effective measurement to reduce the water hammer pressure and limit rotational speed increases. In this paper, combined with Guangzhou Pumped Storage Power Station plant A, the load rejection condition under different guide vanes closure laws is calculated and the key factor of guide vanes closure laws on the impact of the load rejection transition process is analyzed. The different inflection points, which are the closure modes, on the impact of unit speed change, water level fluctuation of surge tank, and the pressure fluctuation of volute inlet and draft tube inlet are further discussed. By compared with the calculation results, a reasonable guide vanes inflection point position can be determined according to security requirements and a reasonable guide vanes closure law can be attained to effectively coordinate the unit speed rise and the rapid pressure change in the load rejection transient process.