Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensorless field orientation control of an induction machine by high frequency signal injection

This paper describes a new scheme to find the rotor flux angle from stator voltages and currents by injecting a high-frequency signal. The signal is not a rotating one but a fluctuating one at a reference frame rotating synchronously to the fundamental stator frequency. When the estimated rotor flux angle coincides with the actual angle, the proposed method makes virtually no ripple torque, no vibration and less audible noise caused by the injected signal. The difference of impedances between the flux axis and the quadrature axis at high-frequency signal injection on the rotor flux angle is explained by the equivalent circuit equation of the induction machine. The difference is verified by experiments on test motors under various testing conditions. A sensorless field orientation algorithm is proposed and experimental results clarify the satisfactory operation of the algorithm with one hundred and fifty percent load torque at zero stator frequency.
Analysis and design of single-controlled switch three-phase rectifier with unity power factor and sinusoidal input current

This paper describes a new low-cost three-phase AC-DC high-power/low-harmonic-controlled rectifier and its analysis, design, and performance. The circuit consists of a three-phase diode-bridge rectifier, followed by a boost stage containing only one switch and one boost inductor. The proposed converter is used to automatically draw sinusoidal input-current waveforms with high efficiency. This is achieved with discontinuous-input voltage to the rectifier and with a discontinuous-inductor-current mode of operation of the boost converter. By using a simplified single-phase model and symbolic analysis method, analytical equations are obtained and used for design.
Groundwater Management Using Model Reduction via Empirical Orthogonal Functions

This work presents a novel approach for solving groundwater management problems with reduced computational effort. We replace a groundwater flow model governed by a partial differential equation with a simple model governed by an ordinary differential equation. Model reduction is achieved with empirical orthogonal functions, i.e., principal components. Replacement of the full-scale model by a reduced model allows implementation of the embedding approach for optimal groundwater management. Comparing the results obtained with the full-scale simulation model, preliminary analyses show that the reduced model is able to reproduce head variations in the flow domain with good accuracy and, to a certain degree, the sensitivities of head with respect to pumping. A key advantage of the reduced model is that it is simple and easy to solve, and in many instances captures the dominating characteristics of the original model. In view of the many sources of uncertainty influencing groundwater simulation, the accuracy provided by a reduced model may be sufficient for planning purposes. As with other examples of model reduction presented in recent research efforts, the methodology shows promise in presenting general trends, but does not eliminate the need for the original model when more detailed analyses are needed.
Modeling Duration of Lane Changes

Lane changes significantly affect the characteristics of traffic flow. Lane-changing models are therefore important in microscopic traffic simulation. Existing lane-changing models emphasize the decision-making aspects of the task but generally neglect the detailed modeling of the lane-changing action itself and model it only as an instantaneous event. However, research indicates that lane-changing durations are on average in the range of 5 to 6 s. The omission of lane-changing durations from simulation models may have a significant impact on simulation outputs. Models of the duration of lane changes are presented. These models are estimated by using detailed vehicle trajectory data that were collected in naturalistic driving with high-mounted video cameras. Separate models are presented for passenger cars and for heavy vehicles and statistical tests are conducted for the similarity between the lane-change durations of the two vehicle types.
Leadership in the quality public service improvement

Public service is the implementation of government tasks directly to meet the needs and interests of the community. But what is happening today is the emergence of the phenomenon of government in carrying out public service activities that are often interpreted in different connotations by the public. Therefore, it is considered necessary to improve the quality of public services in accordance needs of the community. This is certainly strongly influenced by good leadership for the improvement of the implementation of public services as an urgent need for the improvement of public services to the community. The purpose of this study is to find out the interconnectedness of local leadership relationships in the implementation of public services so that there is an improvement in the quality of public services. This research uses quantitative methods with a descriptive approach with data collection techniques in this study consisting of observation, questionnaire, and literature studies (library research). Determination of research samples through multistage random sampling methods and formulating them into the Slovin formula. The results showed the amount of quality of public services. The field of cleanliness handling cleanliness is 4050 or 67.50% with a fairly good predicate.
Clementine mandarin: biomass formation, distribution and nitrogen uptake trends

Abstract The aim of this study was to investigate the biomass formation and nitrogen (N) uptake trends during vegetative period in Clementine mandarin (Citrus reticulata Blanco). In this study, the organs (branch, leaf, flower, bud and fruit) of shoots <12 and >12 month-old were analyzed for biomass formation and distribution, N concentration and uptake amounts for 2 years. Results showed that biomass accumulation was 9.7 kg/tree at the beginning of production season, 62.8 kg/tree before harvest and 46.9 kg/tree at the end of production season. Nitrogen concentration showed a decreasing trend in leaves and fruits of shoots <12 month-old while a decreasing trend was observed in fruits and an increasing tendency for leaves in shoots >12 month-old. It is concluded that 1377 g N/tree accumulated in the shoots (<12 and >12 month) of the Clementine mandarin trees through one production season (262 days). This amount was provided by both soil and fertilizer N in addition to remobilization. In consideration of total N and organic matter values of the soils in the research groves and the amounts of N-containing fertilizer that were applied, it may be seen that remobilization may have a significant part of the supply of N for different organs in total throughout the production season or based on different periods. These results show that improvement in biomass and N allocation can be achieved in Clementine mandarins through proper tracking of N uptake during different growth stages and in different plant organs.
Guided waves in stratified media: Observing multiple Sezawa modes

Abstract Appearance of multiple Sezawa (M2,2) modes and the related interfacial Stoneley waves at propagation of Lamb wave in a stratified medium containing several layers obeying Wiechert condition is observed. Possible appearance of the multiple high frequency Stoneley and Sezawa modes may have importance in various applications starting from micro and nanomechanics to geophysics along with developing the nondestructive acoustic methods for qualitative and quantitative assessment of the high frequency asymptotics. The analysis is based on Cauchy sextic formalism.
Operations optimization and control design for a petroleum distillation process

Process automation involves both steady-state optimization and feedback control. In this paper, the economic optimum steady-state operating conditions for a petroleum crude distillation process are determined using a tray-to-tray model. This model is used to evaluate the steady-state operation achieved with several multivariable process control designs. Only one controller design was found to result in essentially optimum steady-state operation; others deviated significantly. The method applied in this paper relies on a knowledge of the key disturbances occurring in the process; good economic performance may not be obtained should other disturbance types occur. The results demonstrate the importance of implementing the operations optimization through a control strategy which will respond properly to disturbances. L'automatisation des procedes necessite une optimisation a l'etat permanent et un contrǒle a retroaction. Dans cet article, on a determine a l'aide d'un modele multi-etage les conditions de fonctionnement en regime permanent optimales sur le plan economique d'un procede de distillation de petrole brut. Ce modele sert a evaluer le fonctionnement en regime permanent obtenu avec plusieurs strategies de contrǒle multivariables. Un seul type de regulateur s'est avere donner un fonctionnement quasi optimal en regime permanent; les autres etaient significativement differents. La methode appliquee dans cet article repose sur le fait que les principales perturbations survenant dans le procede sont connues; une bonne performance economique ne pourrait ětre obtenue si d'autres types de perturbations survenaient. Les resultats montrent l'importance de l'optimisation des operations dans une strategie de contrǒle qui tienne correctement compte des perturbations.
Quality management and its relationship with organizational context and design

The research proposes a theory that organizational design mediates completely the effect of context on quality management. The results show that the greater the level of the organizational design variables (formalization, technocratic specialization, and strategic decentralization), the greater the level of quality management. The context variables of size, production technology (which varies from custom to flow production types), and product dynamism predict organizational design to varying extents. Statistical analysis shows that the indirect effect of size, production technology, and product dynamism on quality management are significant and positive. Direct effects of context on quality management were tested and found not to be significant. The conclusion is drawn that organizational design transmits the effect of context to quality management.
Networking, Designing, and Using Digital Video: Bridging the Gap between Research and Practice

Institutions of higher education and school districts have infrastructures in place that inhibit collaborations between practitioners and researchers, especially when the focus is on complex instructional literacy practices. In this article we describe potential barriers we experienced developing and sustaining our collaboration and how we collectively made strides in narrowing the research to practice gap. We specifically focus our discussion on how: (a) our network evolved, (b) our professional development was designed, and (c) digital video was used as a tool to mediate the divide between research and practice.
Analysis and design of a low-noise railway wheel

Abstract The design and construction of a new ‘constrained layer’ damping treatment for railway wheels is presented. A numerical procedure was used for the loss factor calculation. This procedure, first verified on a plate by means of experimental modal analyses, allowed the best treatment thickness and arrangement to be chosen among those commercially available and technologically feasible. The work ended with the construction of a prototype and subsequent tests in the laboratory and in the field. The success of these tests justified the start of production of low-noise wheels treated in this way.
Function Follows Performance in Evolutionary Computational Processing-Vertical Evolution

As the title ‘Function Follows Performance in Evolutionary Computational Processing’ suggests, this paper explores the potentials of employing multiple design and evaluation criteria within one processing model in order to account for a number of performative parameters desired within varied architectural projects. At the core lies the formulation of a methodology that is based upon the idea of human and computational selection in accordance with pre-defined performance criteria that can be adapted to different requirements by the mere change of parameter input in order to reach location specific design solutions.
Robbers

A variation of the Cops and Robber game is introduced in which the robber side consists of two robbers. The cops win by moving onto the same vertex as one of the robbers after a ﬁnite number of moves. As in the original game, the robber side can win by avoiding capture indeﬁnitely. In this version, however, the robbers can also win by both moving onto the same vertex as the cop at the same time. Otherwise, the robbers must be located on distinct vertices. We present structural properties of ambush-copwin graphs, those graphs on which a single cop can guarantee a win. As well, we characterize ambush-copwin graphs of girth g (cid:2) 4 and classes of ambush-copwin graphs of girth 3, particularly a class of chordal graphs.
Flashover Pattern Recognition by HMM Based on Fractal Characteristics of Leakage Current on HV Insulators

With the increase of voltage grade in power transmission system and the aggravation of industrial pollution, flashover of contaminated insulators in HV and UHV system is more and more serious, threatening the security of power transmission severely. The key of improving the security of system is exploring the methods of monitoring and recognizing states of insulator’s surface by some character values. In this paper, multi-characteristic Hidden Markov Model is founded with wavelet and chirplet fractal characteristics of leakage current(LC), through which the flashover patterns are recognized during the developing stages. The results show that fractal characteristics HMM recognized flashover pattern efficiently and successfully, and that is useful to help related stuff to make correct decision and ensure the security of power delivery.
Aeroacoustic analysis of the automotive ventilation outlets using Extended Proper Orthogonal Decomposition

Extended Proper Orthogonal Decomposition based on snapshot POD is used to investigate the correlation between the aerodynamic quantities of interest in an automotive ventilation outlet and the associated sound pressure field. A 3D simulation of the flow and the associated sound field of a real engineering application is obtained thanks to a Direct Noise Calculation. The flow field on a 2D measurement plane is decomposed on three components using the POD decomposition : The large and small scale coherent structures and the background quasi-Gaussian fluctuations. Based on this POD flow partitioning, the far-field acoustic pressure is used to calculate the extended modes. We exhibit that each part of the far-field acoustic pressure spectrum can be related to each POD aerodynamic flow partitioning. I. Introduction Noise is a major concern in modern automotive industry due to the car manufacturers wish to reduce the noise level for passengers. The purpose of this study concerns the analysis of noise generation mechanisms occuring in automotive ventilation outlets. Historically, fifty years ago, Lighthill 1 reformulated the momentum and the mass conservation equations in the form of a wave equation. While this equation provides an analytical expression for the aerodynamic sound generation, the understanding of the underlying physics and the noise production mechanisms still needs further investigations. Experimental studies have been contributing to a better understanding of the governing mechanisms but they are usually hindered by the complexity of the acoustic sources, requiring the measurement of the fluctuating quantities in a highly resolved space-time extent. The recent progresses in the numerical simulations facilitate the access to the reliable data in those zones where the sound generation is concentrated. The flow simulation and its related acoustic field could be simultaneously performed thanks to the Direct Noise Calculation (DNC). The DNC of compressible flows provides a spatio-temporal database for a particular case. This database can be employed to check the theoretical models and to investigate the phenomena involved in the sound production. The
Guidance, Navigation, and Control System Design for Tripropeller Vertical-Take-Off-and-Landing Unmanned Air Vehicle

In this paper, we present the design and development of the guidance, navigation, and control system of a small vertical-takeoff-and-landing unmanned air vehicle based on a 6 degrees-of-freedom nonlinear dynamic model. The vertical-takeoff-and-landing unmanned air vehicle is equipped with three propellers for vertical thrust, and thrust differential together with a set of yaw trim flaps are used for 3 degrees-of-freedom attitude and thrust control actuation. The focus is on the 6 degrees-of-freedom flight control algorithm design using the trajectory linearization control method, along with simulation verification and robustness tests. Hardware and software implementation of the flight controller and onboard navigation sensors are also briefly discussed.
How Can Autonomous Vehicles Convey Emotions to Pedestrians? A Review of Emotionally Expressive Non-Humanoid Robots

In recent years, researchers and manufacturers have started to investigate ways to enable autonomous vehicles (AVs) to interact with nearby pedestrians in compensation for the absence of human drivers. The majority of these efforts focuses on external human–machine interfaces (eHMIs), using different modalities, such as light patterns or on-road projections, to communicate the AV’s intent and awareness. In this paper, we investigate the potential role of affective interfaces to convey emotions via eHMIs. To date, little is known about the role that affective interfaces can play in supporting AV–pedestrian interaction. However, emotions have been employed in many smaller social robots, from domestic companions to outdoor aerial robots in the form of drones. To develop a foundation for affective AV–pedestrian interfaces, we reviewed the emotional expressions of non-humanoid robots in 25 articles published between 2011 and 2021. Based on findings from the review, we present a set of considerations for designing affective AV–pedestrian interfaces and highlight avenues for investigating these opportunities in future studies.
Real-time shear wave elastography evaluation of the correlation between brain tissue stiffness and body mass index in premature neonates

Background Real-time shear wave elastography (SWE) is non-invasive and reliable for quantitatively evaluate stiffness of tissues and organs. Until now, little researches have applied SWE to evaluate brain tissue of premature neonates. This study sought to compare differences in the average brain tissue elasticity modulus (Emean) values of neonates, and explore the factors affecting these differences. Methods In total, 159 neonates admitted from December 2019 to February 2021 were taken as the study subjects and divided into 2 groups based on their time of birth. Premature neonates, full-term neonates, and neonates with neonatal pneumonia were included in this study. Of the 159 neonates, 76 were premature and 83 were full-term. SWE was used to quantitatively evaluate the Emean of bilateral paraventricular white matter, thalamus, and choroid, and to analyze the relationship between body mass index (BMI) and Emeans in both groups of neonates. Results The Emeans of the paraventricular white matter, thalamus, and choroid of the premature neonates were lower than those of the full-term neonates (P<0.001). The BMI of the premature and full-term neonates was positively correlated to the bilateral paraventricular white matter, thalamus, and choroid Emean. Conclusions SWE can be used to quantitatively evaluate the brain tissue stiffness of neonates, and as a reference for neonatal brain-related diseases.
A Transmitted Reference System for Communication in Random of Unknown Channels

When communicating through an unknown or random channel, it often becomes advisable to utilize some of the transmitted energy to allow the receiver to measure certain channel parameters. In this paper, a set of transmitted signals are chosen of the form \{x_{m}^{(i)}(t), x_{r}(t)\}, t\epsilon(0,T) , where i = 1, 2,. ,l . Here x_{m}^{(i)}(t) represents the message or information portion of the signal and x_{r}(t) represents that portion which is transmitted for the purpose of identifying the channel. The random multipath channel model is assumed, and an optimum "one-shot" Bayesian receiver is derived under the Gaussian assumption for channel filter and additive noise. An expression for error probability is derived for a special case of binary phase reversal keying, assuming that the additive noise in the channel is white. Probability of error curves are plotted as a function of various system parameters for both the optimal and a simpler suboptimal receiver. The energy sharing problem between the message and reference portion of transmitted signal is also considered. The divergence criterion is utilized and shown to be an effective method for deriving the optimum trade-off.
Genetic Dissection of Temperament Personality Traits in Italian Isolates

Human personality (i.e., temperament and character) is a complex trait related to mental health, influenced by genetic and environmental factors. Despite the efforts performed during the past decades, its genetic background is only just beginning to be identified. With the aim of dissecting the genetic basis of temperament, we performed a Genome-Wide Association Study (GWAS) on Cloninger’s Temperament and Character Inventory in 587 individuals belonging to different Italian genetic isolates. Data analysis led to the identification of four new genes associated with different temperament scales, such as Novelty Seeking (NS), Harm Avoidance (HA), and Reward Dependence (RD). In detail, we identified suggestive and significant associations between: MAGI2 (highest p-value = 9.14 × 10−8), a gene already associated with schizophrenia and depressive disorder, and the NS–Extravagance scale; CALCB (highest p-value = 4.34 × 10−6), a gene likely involved in the behavioral evolution from wild wolf to domestic dog, and the NS–Disorderliness scale; BTBD3 (highest p-value = 2.152 × 10−8), a gene already linked to obsessive–compulsive disorder, and the HA–Fatigability scale; PRKN (highest p-value = 8.27 × 10−9), a gene described for early onset Parkinson’s disease, and the RD scale. Our work provides new relevant insights into the genetics of temperament, helping to elucidate the molecular basis of psychiatric disorders.
Technological innovation using a test car for conventional lines

This paper describes an experimental train, called MUE-Train, and provides its configuration and information about its test runs. A train communication network, called INTEROS, was installed on MUE-Train. The communication network is based on a 100Mbps Ethernet transmission technology. INTEROS was created to improve service and reliability. Another system installed on MUE-Train, considered to be a ground equipment monitoring system, was developed to monitor the status of overhead wires and tracks. The goal of the second system is to enhance the accuracy of inspection and measurement, and to decrease maintenance costs.