Miracle-dz/UniFAR-FTUs huggingface dataset:
Properties of Adjust Magnetic Field of Hybrid Excitation Synchronous Machine With Tangential Accumulation of Magnetic Field Shunt-wound Magnetic Path

To solve the existing hybrid excitation machine problems, such as the difficulty of total adjustment of air gap magnetic field, many additional magnetic circuits, and considerable additional air gap, etc. According to the structural characteristics and the principle of magnetic regulation of HESM with the tangential accumulation of magnetic field shunt-wound magnetic path. With Ansys Maxwell finite element simulation software, the influence of the magnetic potential of the electric excitation on the working point of the permanent magnet is analyzed. The variation law of the magnetic field of the motor under different excitation conditions is studied. The results show that due to the characteristics of the parallel magnetic path, the magnetic accumulation effect of the machine is pronounced, and the fault tolerance performance of the motor is good. The main magnetic field can be adjusted entirely and controlled.
Soft-switching Zeta converter with an asymmetrical PWM control

In this paper, a new soft-switching Zeta converter with an asymmetrical PWM control is proposed. The proposed Zeta converter has the features of constant frequency operation, zero voltage switching (ZVS), and low voltage stress on the active switches. Moreover, it can achieve high power density, high efficiency, low switching loss and low component count, which make converter operation at low to medium power level feasible. In the paper, operational principle of the Zeta converter is presented in detail, and a specific example is designed and implemented to verify its feasibility.
Dual Stator Rotor Armature Winding Magnetless Machine with Multi-torque Components

This paper proposes a novel magnetless machine topology that is characterized by double salient structure and concentrated non-overlapping windings for dual stator and rotor. The innovation is that both sets of windings in stator and rotor can generate electromagnetic torque, and one set is fed with pure AC current while the other with DC-biased current. In this paper, the topological development and the corresponding control system are analyzed firstly. After that, the basic operation principle is illustrated. Finally, the electromagnetic properties, including back-EMF, torque components, and fault-tolerant capacity are verified by finite element analysis (FEA) and analytical method. The analysis shows the validity of the topology, and the great application prospect in the fields of electric vehicle, vessel, and rail propulsion drive.
Self-assessed Emotion Classification from Acoustic and Physiological Features within Small-group Conversation

Individual (personalized) self-assessed emotion recognition has recently received more attention, such as Human-Centered Artificial Intelligence (AI). In most previous studies, researchers utilized the physiological changes and reactions in the body evoked by multi-media stimuli, e.g., video or music, to build a model for recognizing individuals’ emotions. However, this elicitation approach is less impractical in the human-human interaction because the conversation is dynamic. In this paper, we firstly investigate the individual emotion recognition task under three-person small group conversations. While predicting personalized emotions from physiological signals is well-studied, few studies focus on emotion classification (e.g., happiness and sadness). Most prior works only focus on binary dimensional emotion recognition or regression, such as valence and arousal. Hence, we formulate the individual emotion recognition task into an individual-level emotion classification. In the proposed method, we consider the physiological changes in each individual’s body and acoustic turn-taking dynamics during group conversations for predicting individual emotions. Meanwhile, we assume that the emotional states of humans might be affected by the expressive behaviors of other members during group conversations. Also, we hypothesize that people have a higher probability of feeling specific emotions under the related emotional atmosphere. Therefore, we design an ad-hoc technique by simply summing up the Self-assessed emotional annotations of all group members as the group emotional atmosphere (climate) to help the model predict individuals’ emotions. We propose a Multi-modal Multi-label Emotion based on Transformer BLSTM at Group Emotional Atmosphere Network (MMETBGEAN) that explicitly considers individual changes and dynamic interaction via physiological and acoustic features during a group conversation integrates group emotional atmosphere information for recognizing individuals’ multi-label emotions. We assess the proposed framework on our recently collected extensive Mandarin Chinese collective task group database, NTUBA. The results show that the method outperforms the existing approaches on multi-modal multi-label emotion classification on this database.
Multi-Stage Energy-Aware Motion Control with Exteroception-Defined Dynamic Safety Metric*

We address the problem of motion control for safe physical interaction, and in particular finding new ways for impedance controller parameters’ adaptation to ensure better safety with minimum possible lose in robot performance. We propose an exteroception-based dynamically updated safety metric that takes into account current robot state and inertia as well as external objects’ mass, shape, material properties, velocity, sensor confidence and existing sampling rates. We also present how this metric can be applied to design a finite state machine of the multi-stage controller, which allows us to prioritize either safety of performance by setting different energy and power constraints with smooth transition in between free motion and interaction modes.
1.4.3 The Role of Systems Engineering in Make‐or‐Buy Technology

Technology is one of the strategic factors in an enterprise. Sooner or later, every organisation will be faced with the problem of how to acquire the needed technology. An enterprise can acquire technology either through ‘making’ (the pursuit of new technology development though internal R&D) or ‘buying’ (acquisition from external sources). This is known as the “make‐or‐buy” or “sourcing” problem. This paper will discuss how and what role systems engineering discipline can play in approaching this problem. The results show that systems engineering approach can play a major role in solving this problem especially through the requirements and decomposition analysis.
The state of the art of electric and hybrid vehicles

In a world where environment protection and energy conservation are growing concerns, the development of electric vehicles (EV) and hybrid electric vehicles (HEV) has taken on an accelerated pace. The dream of having commercially viable EVs and HEVs is becoming a reality. EVs and HEVs are gradually available in the market. This paper will provide an overview of the present status of electric and hybrid vehicles worldwide and their state of the art, with emphasis on the engineering philosophy and key technologies. The importance of the integration of technologies of automobile, electric motor drive, electronics, energy storage, and controls and also the importance of the integration of society strength from government, industry, research institutions, electric power utilities, and transportation authorities are addressed. The challenge of EV commercialization is discussed.
The Development of Pre-Service Science Teachers' Professional Knowledge in Utilizing ICT to Support Professional Lives

In the rapidly developing digital world, technology is and will be a force in workplaces, communities, and everyday lives in the 21st century. Information and Communication Technology (ICT) including computer hardware/software, networking and other technologies such as audio, video, and other multimedia tools became learning tools for students in the 21st century. ICT also changed the nature of the teachers’ work and the way they relate to other teachers in their professional lives. The researcher designed and implemented a course to enhance 18 pre-service science teachers’ professional knowledge, which knowledge of instructional media and technology is one of the important domains. Technology was used as a tool for enhancing the development of professional knowledge in a seminar organizing activity in which students designed instructional movies and participated in online discussion activities. Data from questionnaires, classroom observation, journals, online discussion boards, and pre-service science teachers’ artifacts were analyzed by the constant comparative method. The results revealed that most of the pre-service science teachers felt more comfortable using software and hardware, were willing to learn, improve their creativity, participate in group collaboration, and felt free asking questions and reflecting on their ideas on discussion boards. The results show that pre-service science teachers develop their professional knowledge when they are engaged in embedding ICT in subject teaching activities.
DRIVERS' GALVANIC SKIN RESPONSE AND THE RISK OF ACCIDENT

Galvanic skin responses of 20 drivers were measured in two studies covering a wide range of roads and road conditions. Accident histories wore obtained for the roads in one of the studies. It is shown that the level of GSR activity does not depend primarily on the nature of the road or conditions. Consistent sources of variation in the GSR are observed, one of them apparently being the subject's experience of driving. The distribution of GSR per unit distance travelled was found to be similar to the distribution of accidents per unit total distance of vehicle travel (the accident rate). The results support a view that driving is a self-paced task governed' by the level of emotional tension or anxiety which the driver wishes to tolerate. The possible effects of this on the distribution of accidents is discussed.
AN ACCURATE STUDY ON CAPACITIVE MICROPHONE WITH CIRCULAR DIAPHRAGM USING A HIGHER ORDER ELASTICITY THEORY

THIS STUDY HAS BEEN UNDERTAKEN TO INVESTIGATE THE MECHANICAL BEHAVIOR OF THE CAPACITIVE MICROPHONE WITH CLAMPED CIRCULAR DIAPHRAGM USING MODIFIED COUPLE STRESS THEORY IN COMPARISON TO THE CLASSICAL ONE. PRESENCE OF THE LENGTH SCALE PARAMETER IN MODI-FIED COUPLE STRESS THEORY PROVIDES THE MEANS TO EVALUATE THE SIZE EFFECT ON THE MICROPHONE MECHANICAL BEHAVIOR. INVESTIGATING PULL-IN PHENOMENON AND DYNAMIC BEHAVIOR OF THE MICROPHONE ARE THE MATTERS PROVIDED DUE TO THE APPLICATION OF A STEP DC VOLTAGE. ALSO THE EFFECTS OF DIFFERENT AIR DAMPING COEFFICIENTS ON DYNAMIC PULL-IN VOLTAGE AND PULL-IN TIME HAVE BEEN STUDIED. THE OUTPUT LEVEL OR SENSITIVITY OF THE MICROPHONE HAS BEEN STUDIED BY INVESTIGATING THE FREQUENCY RESPONSE IN TERM OF MAGNITUDE FOR DIFFERENT LENGTH SCALE PARAMETERS TO FIGURE OUT HOW THE LENGTH SCALE PARA-METER AFFECTS ON THE SENSITIVITY OF THE CAPACITIVE MICROPHONE. TO ACHIEVE THESE ENDS, THE NONLINEAR DIFFERENTIAL EQUATION OF THE CIRCULAR DIAPHRAGM HAS BEEN EXTRACTED USING KIRCHHOFF THIN PLATE THEORY. THEN, A STEP-BY-STEP LINEARIZATION METHOD (SSLM) HAS BEEN USED TO ESCAPE FROM THE NONLINEARITY OF THE DIFFERENTIAL EQUATION . AFTERWARDS, GALERKIN-BASED REDUCED-ORDER MODEL HAS BEEN APPLIED TO SOLVE THE OBTAINED EQUATION.
The Aquatic Heteroptera (Hemiptera) of Marshes in the Florida Everglades

Abstract The Everglades is a large subtropical wetland that has been modified heavily by humans and now is undergoing restoration. Aquatic and semiaquatic Heteroptera (Hemiptera) in the infraorders Gerromorpha and Nepomorpha were collected in the Florida Everglades using standardized 1-m2 throw-traps. Sampling efforts were conducted in marshes distributed from southern Everglades National Park, north throughout the Water Conservation Areas to Loxahatchee National Wildlife Refuge. In total, 12,833 individuals were identified representing 17 species in 13 genera and 8 families (Belostomatidae, Corixidae, Gerridae, Mesoveliidae, Naucoridae, Nepidae, Veliidae). The naucorid Pelocoris femoratus (Palisot de Beauvois) (Hemiptera: Naucoridae) was by far the most abundant species, whereas 2 other species, Belostoma lutarium (Stål) (Hemiptera: Belostomatidae) and Neogerris hesione Kirkaldy (Hemiptera: Gerridae), were widespread but less abundant. Two species, Abedus immaculatus (Say) (Hemiptera: Belostomatidae) and Pelocoris balius La Rivers (Hemiptera: Naucoridae) had localized distributions, whereas all other species were collected rarely. We discuss the abundance and distribution of species recorded, along with unique traits and the biology of the aquatic Heteroptera in the Everglades and implications for the restoration of the Everglades.
Climate Model Projections for Canada: A Comparison of CMIP5 and CMIP6

ABSTRACT Recent studies have identified stronger warming in the latest generation of climate model simulations globally, and the same is true for projected changes in Canada. This study examines differences for Canada and six sub-regions between simulations from the latest Sixth Coupled Model Intercomparison Project (CMIP6) and its predecessor CMIP5. Ensembles from both experiments are assessed using a set of derived indices calculated from daily precipitation and temperature, with projections compared at fixed future time intervals and fixed levels of global temperature change. For changes calculated at fixed time intervals most temperature indices display higher projected changes in CMIP6 than CMIP5 for most sub-regions, while greater precipitation changes in CMIP6 occur mainly in extreme precipitation indices. When future projections are calculated at fixed levels of global average temperature increase, the size and spread of differences for future projected changes between CMIP6 and CMIP5 are substantially reduced for most indices. Temperature scaling behaviour, or the regional response to increasing global temperatures, is similar in both ensembles, with annual temperature anomalies for Canada and its sub-regions increasing at between 1.5 and 2.5 times the rate of increase globally, depending on the region. The CMIP6 ensemble projections exhibit modestly stronger scaling behaviour for temperature anomalies in northern Canada, as well as for certain indices of moderate and extreme events. Such temperature scaling differences persist even if anomalously warm CMIP6 global climate models are omitted. Comparing the mean and variance of future projections for Canada in CMIP5 and CMIP6 simulations from the same modelling centre suggests CMIP6 models are significantly warmer in Canada than CMIP5 models at the same level of forcing, with some evidence that internal temperature variability in CMIP6 is reduced compared with CMIP5.
Review on Detection and Localization of Underwater Target

Europe, the United States and China have conducted a lot of research on the detection and localization of underwater target. The United States, the typical representative among Europe and America, pays much attention to marine research and has a profound foundation. In China, Harbin Engineering University, Institute of Acoustics of Chinese Academy of Sciences and Northwestern Polytechnical University also have done a lot of research on target detection and localization. Overall, the United States of America and other developed countries temporarily precede China in underwater target detection and localization.
Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”

We would like to congratulate Quick, Dey, and Lin on developing the flexible statistical modeling framework MERMAID for assessing transmissibility of COVID-19 and associated drivers with incomplete surveillance data (Quick, Dey, and Lin 2021). The impacts of the COVID-19 pandemic have been dramatic both in their depth, breadth and duration. Under-ascertainment and delayed reporting of cases are common and their patterns vary in surveillance data generated from many counties, states, and countries. There is an urgent need for analytical approaches to align data from multiple sources to provide realtime monitoring of the effective reproductive number and number of prevalent infections which informs the public and policymakers about local risk level. Combining data across regions, retrospective estimates of the impact of non-pharmaceutical interventions can guide future strategic decisions. In the transmission model in MERMAID, the infection potential in population i is driven by the number of prevalent infections in a population and their infectiousness, where infectiousness changes as a function of time since initial infection (Quick, Dey, and Lin 2021). This is similar to the framework proposed by Cori et al. (Cori et al. 2013). The difference in the MERMAID model is that the number of new infections at a particular time t is Poisson-distributed with mean equal to the infection potential times the effective reproductive number Rit . The vector Ri = (Ri1Ri2, . . .) is modeled using a log-linear regression model that can include a B-spline basis functions to model smooth trends in time. In this regression, time-varying or region-specific covariates denoting non-pharmaceutical interventions can be added. With additional constraints, such as assuming that regions share background time trends of effective reproductive numbers, the model can estimate the impact of these covariates. We draw the authors’ attention to other efforts to statistically model smooth trends over time in infectious disease outbreaks. Chain-binomial models were originally developed for microlevel inference, such as the analysis of household outbreaks, but have also been scaled up for use on aggregate, surveillance data (Becker 1981). The transmission model in MERMAID starts with the definition of w∗ t , the conditional probability that an individual infected t days ago infects a susceptible individual,
Test sperimentali con moduli di membrane polimeriche commerciali di tipo hollow fiber e polimero PEEK Ottimizzazione di processi chimico-fisici di abbattimento degli inquinanti e upgrading del biogas a biometano

Scopo del presente documento e quello di illustrare i risultati sperimentali ottenuti dall’impianto di upgrading del biogas mediante tecnologia a membrane, attualmente installato presso il Centro Ricerche ENEA della Trisaia e descrivere i principi e le logiche di funzionamento dell’impianto. L’impianto e stato progettato per alimentare un feed proveniente da un impianto a biogas da 2MWth, nonostante sarebbe possibile esercire il modulo per portate superiori(o inferiori); tale scelta e stata effettuata nell’ottica di riuscire ad avere una regolazione piu accurata dei parametri di processo. Per il conseguimento dell’obiettivo finale della presenta annualita, ossia la verifica della compatibilita e delle performance delle membrane polimeriche con biogas, sono state condotti test sperimentali con miscele binarie CH4/CO2 nei range di composizione tipici dei digestori anaerobici alimentati da scarti animali, reflui zootecnici e FORSU; La membrana che e stata testata in prima istanza con l’impianto di upgrading ha una configurazione del tipo Hollow fiber in polimero PEEK(polietereterchetone). In condizioni ordinarie il modulo presenta una shelf life a targa di circa 3 anni, anche se, molto importante da questo punto di vista e la valutazione dell’effetto degli inquinanti presenti nel biogas, nei confronti della matrice polimerica, oggetto di valutazioni nella successiva annualita dell’accordo di programma con il Ministero dello Sviluppo Economico. La finalita ultima della presente annualita e stata lo sviluppo di un processo integrato con moduli di membrane in grado di massimizzare sia il recupero che la purezza in metano, fermo restando il contenimento dei costi di esercizio legati alle fasi di compressione.
Ontology concept semantic similarity matching based on Ant Colony Optimization algorithm

Abstract Semantic closeness between ontology concepts is of great importance in various applications like information retrieval, text summarization, sentiment analysis, etc. These applications relying on domain ontologies required a computable measure of relationships among ontology concepts. A variety of techniques like semantic distance, information content, characteristics or features of terms, etc., are available to measure semantic similarity among concepts. In this research work, a method based on distance is proposed using Ant Colony Optimization to computing the shortest path, which will use layers to calculate semantic similarity. ACO is a probabilistic multi-agent technique based on the behavior of real ants. Evaluation and a comparison of proposed methods against related processes in a common framework deploy higher semantic similarity among concepts.
Wind turbine rotor-tower interaction using an incompressible overset grid method

In this paper, 3D Navier–Stokes simulations of the unsteady flow over the NREL Phase VI turbine are presented. The computations are carried out using the structured grid, incompressible, finite volume flow solver EllipSys3D, which has been extended to include the use of overset grids. Computations are presented, firstly, on an isolated rotor, and secondly, on the downwind configuration of the turbine, which includes modelling of the rotor, tower and tunnel floor boundary. The solver successfully captures the unsteady interaction between the rotor blades and the tower wake, and the computations are in good agreement with the experimental data available. The interaction between the rotor and the tower induces significant increases in the transient loads on the blades and is characterized by an instant deloading and subsequent reloading of the blade, associated with the velocity deficit in the wake, combined with the interaction with the shed vortices, which causes a strongly time-varying response. Finally, the results show that the rotor has a strong effect on the tower shedding frequency, causing under certain flow conditions vortex lock-in to take place on the upper part of the tower. Copyright © 2009 John Wiley & Sons, Ltd.
An Opportunity to Investigate the Role of Specific Nonverbal Cues and First Impression in Interviews using Deepfake Based Controlled Video Generation

The study of nonverbal cues in a dyadic interaction, such as a job interview, mostly relies on videos and does not allow to disentangle the role of specific cues. It is thus not clear whether, for instance, an interviewee who smiles while listening to an interviewer would be perceived more favorably than an interviewee who only gazes at an interviewer. While a similar analysis in naturalistic situations requires careful curation of interview recordings, it still does not allow to disentangle the effect of specific nonverbal cues on first impression. Deepfake technology provides the opportunity to address this challenge by creating highly standardized videos of interviewees manifesting a determined behavior (i.e., a combination of specific nonverbal cues). Accordingly, we created a set of deepfake videos enabling us to manipulate the occurrence of three classes of nonverbal attributes (i.e., eye contact, nodding, and smiling). The deepfake videos showed interviewees manifesting one of four behaviors while listening to the interviewer: eye contact with smile and nod, eye contact with only nodding, just eye contact, and looking distracted. Then we tested whether these combinations of nonverbal cues influenced how the interviewees were perceived with respect to personality, confidence, and hireability. Our work reveals the potential of using deepfake technology for generating behaviorally controlled videos, useful for psychology experiments.