Miracle-dz/UniFAR-FTUs huggingface dataset:
New passivity-based speed-flux tracking controllers for induction motor

A new design is proposed for the development of full-order controllers for induction motors based on indirect orientation of rotor or stator flux. In both cases, the design procedure is based on the passivity approach. The output-feedback controllers proposed permit to achieve global exponential speed and flux tracking in presence of unknown load torque. In addition, they ensure asymptotic decoupling of mechanical and electrical dynamics and asymptotic linearization of the speed subsystem It is shown that strict passivity of the electrical subsystem can be achieved without adding nonlinear damping terms depending on the mechanical speed, in both of the cases considered (rotor and stator flux orientation). About the case of stator flux orientation, for first time, the full-order speed and stator-flux tracking control problem is solved with true asymptotic decoupling between electrical and mechanical dynamics.
Codificação de Redes Neurais sem Retreino

—Machine learning is used in many areas on many problems. Hence, neural network development continuously grows and their sizes steadily increase. This work intends to reduce the networks ﬁle sizes without re-training. We relate weight entropy and accuracy for several quantization methods. After analysis, it is not apparent any correlation among the weights that would enable a more sophisticated coding than aggressive scalar quantization (low rates) followed by entropy coding of the weights. Our studies indicate that it is possible to reduce fourfold the network size without signiﬁcantly impacting its performance. The recommended quantization and encoding may be incorporated into a format for the deployment of neural networks.
HAS THE GLOBAL PANDEMIC OF 2020 LED TO PERSISTENCE IN THE SHARE PRICES OF LARGE GLOBAL COMPANIES?

This paper aims to analyze the predictability of the stocks of Apple, Microsoft Amazon.com, Tesla, Facebook, Samsung, Electronics, Johnson & Johnson, Walmart, in the period from October 1, 2019 to January 11, 2021. To carry out such an analysis, it is intended to answer two research questions, namely: (i) is there predictability in the stock prices of the companies under analysis? (ii) Can investors diversify risk by incorporating these companies’ shares into their portfolios? The results of the Exponents Detrended Fluctuation Analysis (DFA) show that Apple (0.51) Microsoft (0.49), Amazon.com (0.53), Samsung Electronics (0.53), Johnson & Johnson (0.53) do not have long memories in their time series, that is, investors cannot obtain abnormal profitability without incurring additional risk. Walmart (0.41) has anti-persistence, while Tesla (0.60), Facebook (0.55) indicate some predictability, meaning investors adjusting their trading strategies to the necessary missteps may have some above-average profitability, which partly rejects the first question of the research. To answer the second research question, we estimated the Detrended cross-correlation coefficient (pDCCA) model, which indicates 17 mean correlation coefficients (≈ 0.333 → ≈ 0.666), 7 strong cross-trend correlation coefficients (0.666 → ≈ 1,000), 4 weak correlation coefficients (≈ 0.000 → ≈ 0.333). These results show that investors should be careful to incorporate the shares of these companies into a single portfolio; the suggestion would be to group only the shares of companies that do not present predictability and have low rhoDCCA. The authors consider that this evidence will be important for institutional investors when carrying out trading strategies based on maximizing profitability, but also mitigating risk when diversifying.
USING ACTIVE LEARNING TO ENHANCE SUPPLY CHAIN KNOWLEDGE

The constantly evolving logistics discipline confronts practitioners with the challenge of keeping pace with the many advancements in the field. The authors examine ways in which logistics trainers may be able to improve their ability to effectively convey knowledge to logistics practitioners by supplementing the traditional lecture-based approaches with active learning exercises. The results of a recently conducted survey detailing current usage levels and approaches of active learning exercises, specifically simulations, by logistics educators is then presented. The paper also summarizes comments from individual simulation participants after they have completed a training experience designed to immerse them in a real world supply chain scenario. The article concludes by providing suggestions and managerial implications.
Investigation on relationship between information flow rate and mental workload of accident diagnosis tasks in NPPs

The objective of this study is to investigate experimentally the relationship between an operator's mental workload and the information flow rate of accident diagnosis tasks and further to propose the information flow rate as an analytic method for measuring the mental workload. There are two types of mental workload in the advanced main control room of nuclear power plants: the information processing workload, which is the processing that the human operator must actually perform in order to complete the diagnosis task, and emotional stress workload experienced by the operator. In this study, the focus is on the former. Three kinds of methods are compared to measure the operator's workload: information flow rate, subjective methods, and physiological measures. Information flows for eight accident diagnosis tasks are modeled qualitatively using a stage model and are quantified using Conant's model. The information flow rate is obtained by imposing time limit restrictions for the tasks. National Aeronautics and Space Administration-Task Load Index (NASA-TLX) and Modified Cooper-Harper (MCH) scale are selected as subjective methods. For the physiological measurements, an eye tracking system analyzes eye movements related to the operator's blinking and fixation on regions of interests. Through the experiments, the relationship between the information flow rate of accident diagnosis tasks and the selected measures is investigated. Results indicate that the information flow rate of diagnosis tasks is in high agreement with both subjective rating scores and eye movement parameters related to blinking and fixation on the regions of interest. It appears, then, that information flow rate can be an alternative as an analytic approach for measuring mental workload. By using data on the information flow rate, we can predict the mental workload required for a task without performing experiments in advance.
A New Three Objectives Criterion to Optimize Thermomechanical Engines Model

Regarding thermomechanical engines, the first law efficiency has been until now, the most used criterion, with the famous equilibrium thermodynamics upperbound given by the CARNOT formula. Most recently (second part of the past century), a new appraisal appears, regarding the maximum power objective for the engines. We propose here to reconsider these two main approaches due to the fact that the heat expenses first, and the heat rejected secondly are also involved in the complete characterization of the engine. These three quantities (energy consumption to minimize associated to the energy cost; useful effect to maximize; heat rejection to minimize, in order to protect the environment) are combined through a weighting procedure allowing, to discuss and choose the best scheme. Particular previous studies results are recovered and synthesized. Other new possibilities are proposed to be explored in the near future.
Timing signals and radio frequency distribution using ethernet networks for high energy physics applications

Timing networks are used around the world in various applications from telecommunications systems to industrial processes, and from radio astronomy to high energy physics. Most timing networks are implemented using proprietary technologies at high operation and maintenance costs. This thesis presents a novel timing network capable of distributed timing with subnanosecond accuracy. The network, developed at CERN and codenamed “White- Rabbit”, uses a non-dedicated Ethernet link to distribute timing and data packets without infringing the sub-nanosecond timing accuracy required for high energy physics applications. The first part of this thesis proposes a new digital circuit capable of measuring time differences between two digital clock signals with sub-picosecond time resolution. The proposed digital circuit measures and compensates for the phase variations between the transmitted and received network clocks required to achieve the sub-nanosecond timing accuracy. Circuit design, implementation and performance verification are reported. The second part of this thesis investigates and proposes a new method to distribute radio frequency (RF) signals over Ethernet networks. The main goal of existing distributed RF schemes, such as Radio-Over-Fibre or Digitised Radio-Over-Fibre, is to increase the bandwidth capacity taking advantage of the higher performance of digital optical links. These schemes tend to employ dedicated and costly technologies, deemed unnecessary for applications with lower bandwidth requirements. This work proposes the distribution of RF signals over the “White-Rabbit” network, to convey phase and frequency information from a reference base node to a large numbers of remote nodes, thus achieving high performance and cost reduction of the timing network. Hence, this thesis reports the design and implementation of a new distributed RF system architecture; analysed and tested using a purpose-built simulation environment, with results used to optimise a new bespoke FPGA implementation. The performance is evaluated through phase-noise spectra, the Allan-Variance, and signalto- noise ratio measurements of the distributed signals.
Flow Rate's Influence on Low Temperature Silicon Oxide Deposited by Atmospheric Pressure Plasma Jet for Organic Thin Film Tranisitor Application

Low temperature processes and high quality gate insulator are very important for organic thin film transistors (OTFTs). We utilized atmospheric pressure plasma jet (APPJ) to deposit silicon oxide as gate insulator of OTFTs at low temperature. We found carrier gas’s flow rate would influence the deposition mechanism which lead to influence surface roughness and film quality. Leakage current density of our proposed silicon oxide was about 2.53E-8 A/cm 2 at 0.5 MV/cm. Our proposed OTFTs shows a low subthreshold swing of only 700 mV/dec., a low threshold voltage of -0.8 V, a low operation voltage of -2 V. The low-voltage OTFTs would reduce the power consummation of flexible display.
Charge-enhancement mechanisms of GaAs field-effect transistors: experiment and simulation

The charge-collection processes of GaAs field-effect transistors are investigated as a function of the incident laser pulse energy via time-resolved charge-collection measurements and by two-dimensional computer simulation. The measurements and simulations reveal a feature that persists on a time scale of 100 ps, the amplitude of which varies strongly with the injected carrier density (pulse energy). The appearance of this feature is associated with a barrier lowering effect at the source/substrate junction, coupled with the drift-assisted transport of electrons through the substrate to the drain contact. This behavior is similar, but not identical to bipolar-gain models that have been suggested previously. We introduce the concept of ion-track segments and illustrate their utility in interrogating the complex mechanisms of charge collection and enhancement in GaAs FETs.
Performance optimization of Cuk converters by sliding-mode control

A novel approach to the design of sliding mode controllers for Cuk power converters is presented, which is valid for both complete status feedback (fourth-order controller) and reduced status feedback (second-order controller). According to the proposed design criteria, both control techniques ensure excellent static and dynamic performances, also resulting in simple control implementation and minimum size of the energy transfer capacitor. Experimental results are reported, and compared with those obtained with other popular control techniques. The proposed approach has three main advantages: control implementation is very simple; large-signal stability, nonoscillatory response of all state variables, and short settling time are ensured in any operating condition; and the transfer capacitor can become very small, since decoupling of input and output stages is not required. <<ETX>>
Desarrollo de un programa para predecir la trayectoria de vuelo de un cohete sonda

This thesis has the main objective to elaborate a program to predict the flight trajectory of a sounding rocket to meteorological and scientific investigations under different operating conditions. The drag coefficient of the four wings Arreaux prove rocket made by AeroTech Inc. was calculated by CFD programs from Ansys Inc. Gambit 2.3 to draw and make the mesh. Fluent 6.3 to resolve the problem and display the solution. To determinate the theoretical flight trajectory accurate equations were developed. The flight prediction trajectory program was build in based these equations. Program code was made by MATLAB 7.0 with helping tool such as “GUIDE” which generates a graphic interface along the user to create programs within “Windows” environment. Arreaux launches experimental datum obtained from Alabama University in Huntsville were compared with programs results under the same operating conditions. Six models AeroTech rocket motors were proved in Arreaux, the trajectories were compared against ones predicted from monograms provided by the manufacturer. With these final results it’s concluded that the developed program predicted on acceptable error range.
The Influence of Tumor Microenvironment on Tumor Progression; and Anticancer Therapies

: All tumors are surrounded by complex environmental components including blood and lymph vessels; cellular components like fibroblasts, endothelial cells, immune cells; and non-cellular stromal cytokines, extracellular vesicles, and extracellular matrix. All of these along with the tumor cells constitute the tumor microenvironment (TME). Also the physical and chemical factors within this tumor microenvironment including extracellular pH, hypoxia, elevated interstitial fluid pressure, and fibrosis closely associate with the tumor progression at local site, its metastasis to remote areas of the body, immunosuppression, and drug resistance exhibited by the tumor. These cellular and extracellular components of TME primarily contribute to the process of carcinogenesis. This review focuses on multiple factors that alter the microenvironment to make it favorable for tumor growth at primary site and its metastasis to secondary sites. Also some of the natural products that may help to treat the tumor conditions via alteration of this microenvironment are mentioned which may provide new venues for development of newer drugs halting the progression of the tumors.
The Roles of Auditor's Reputation in Moderating the Factors Affecting Auditor Switching

This study aims to determine the effect of audit opinion, audit delay, and audit fee to auditor switching with auditor reputation as a moderating variable. The population of this study was 140 manufacturing companies listed in the Indonesia Stock Exchange for years 2015-2017. Determining data was obtained by using purposive sampling method, it was gained for 66 companies sample. This research was done by using descriptive statistical analysis method, logistic regression, and absolute difference test to examine the moderating variable. Hypothesis testing used IBM SPSS Statistic 23.0 program. The results show that partially audit opinion has a negative effect toward auditor switching, when audit delay and audit fee have no effect toward auditor switching. Auditor reputation is unable to moderate the effect of audit opinion, audit delay, and audit fee to auditor switching, so auditor reputation is not a moderating variable in this study. The conclusion in this study is the better the auditor’s opinion that the company received, the lower the chance for the company to do auditor switching. Auditor reputation is unable to strengthen/weaken the effect of auditor opinion, audit delay, and audit fee on auditor switching.
Influence of pixel topology on performances of CMOS APS imagers

This paper describes a 128 X 128 pixels prototype array organized as sub-arrays of 32 X 32 pixels each, with 21 micrometers pixel pitch. The sub-arrays, photodiode or photogate based, are implemented using a standard 0.7 micrometers CMOS process. Various topologies of the photosensitive area have been implemented and some of them have an optical metal shield over the so-called non-sensitive area to evaluate the contribution of the active electronic area to the responsivity of the sensor. A synthesis of the measurements carried out by CIMI-SUPAERO and MMS, addressing darkness parameters, noise, photometric and radiometric performances, are presented with emphasis on the photogate type pixels. Results of spot-scan analysis and crosstalk measurements performed on selected topologies are also reported. Several samples were irradiated at different proton doses and their related behavior is discussed. From these results, a new 512 X 512 pixels array has been designed for space applications. The main features of this APS device are presented here.
FinFET technology for future microprocessors

For the first time we have converted an existing SOI microprocessor design to enable processing in a 0.1 /spl mu/m FinFET technology. We describe the methodology and tools set that has been developed for this conversion and point out the circuit design issues on SRAM-cell and other circuit structures, necessary in a microprocessor design.
GaAsSb: A novel material for 1.3 [micro sign]m VCSELs

GaAsSb quantum wells (QWs) on GaAs substrate are proposed for the active layer of 1.3 µm VCSELs. High-quality GaAsSb QWs showed intense 1.32 µm photoluminescence at room temperature. Room-temperature pulsed operation of GaAsSb/GaAs broad stripe laser diodes at a wavelength of 1.22 µm was demonstrated for the first time.
The research on thermal adaptability reinforcement technology for photovoltaic modules

Nowadays, Photovoltaic module contains more high-performance components in smaller space. It is also demanded to work in severe temperature condition for special use, such as aerospace. As temperature rises, the failure rate will increase exponentially which makes reliability significantly reduce. In order to improve thermal adaptability of photovoltaic module, this paper makes a research on reinforcement technologies. Thermoelectric cooler is widely used in aerospace which has harsh working environment. So, theoretical formulas for computing refrigerating efficiency, refrigerating capacity and temperature difference are described in detail. The optimum operating current of three classical working condition is obtained which can be used to guide the design of driven circuit. Taken some equipment enclosure for example, we use thermoelectric cooler to reinforce its thermal adaptability. By building physical model and thermal model with the aid of physical dimension and constraint condition, the model is simulated by Flotherm. The temperature field cloud is shown to verify the effectiveness of reinforcement.
Observer-Based Proportional-Type Controller for Two-Wheeled Mobile Robots via Simple Coordinate Transformation Technique

This article briefs on an advanced observer-based proportional-type control scheme that stabilizes the attitude and regulates the position of two-wheeled mobile balancing robots. The robot parameter and load uncertainties are under consideration. There are three main differences from previous results: (a) the development of coordinate transformation for securing the applicability of the proposed nonlinear controller design technique, (b) the pole-zero cancellation parameter-independent observers for estimating the wheel and yaw angular velocities, and (c) the guarantees of performance recovery and offset-free properties through the replacement of integrators via observer-based disturbance observers. The practical merits of the closed-loop analysis are confirmed by performing experiments with a LEGO Mindstorms EV3 operated by MATLAB/Simulink.
Analysis of a liquid crystal Fabry-Perot etalon filter: a novel model

The authors propose a novel analysis method to investigate the characteristics of an electrically tunable liquid-crystal Fabry-Perot interferometer (LC-FPI). Based on the solution of deformation analysis of the liquid crystal in an electric field and the assumption of small refractive index variation in the Fabry-Perot cavity, the voltage-dependent equivalent refractive index of the cavity has been derived. Tuning behaviors of the LC-FPI filter were simulated by means of the dependence. The calculated result and the experimental measured data agree well with each other.
New Insights into Driving Using Recurrence Quantification Analysis

Traditional measures of central tendency and dispersion, such as the mean and standard deviation, ignore ordering effects in time-series data. Hidden within the ordered regularity of time series' may lie unique human performance characteristics. Recurrence quantification analysis (RQA), a contemporary tool designed for the investigation of nonlinear-time-series data, is used to explore lateral driving movement in a simulated car-following task. This investigation assesses a previously published data set that contrasts baseline driving performance, with performance while legally intoxicated, and hands-free/hand-held cell phone conversation. A number of distinguishing lateral movement characteristics were found using RQA. Free from the constraints imposed by discrete driving measures, RQA has the potential to provide real-time measures of driver workload under a variety of conditions.
A novel dispersion compensation scheme based on phase comparison between two SSB signals generated from a spectrally filtered CS-RZ signal

We proposed a novel dispersion compensation scheme based on relative phase detection of two SSB components of CS-RZ transmission code. These two components have NRZ pulse shape. Chromatic dispersion was detected by using 43-Gbit/s comparator HEMT ICs. The proposed technique successfully detected signs of chromatic dispersion and has sensitivity of 0.16-ps/nm/mV. Furthermore, the use of SSB-DD technique enabled us to achieve a wider dispersion tolerance (65-ps/nm) than that of a conventional CS-RZ signal.