Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling and Control of Doubly Fed Induction Generators (DFHGs) For Wind Energy Applications

Various literatures have been published on the application of doubly fed induction generators for wind power generation. The wind turbines and the induction machines have their own inherent characteristics and literature on how the wound rotor induction generator behaves when coupled to the wind turbine together with its control, is limited. This paper discusses some aspects that should be considered when designing and control of wind power generating systems using DFIG
Gaussian processes, kinematic formulae and Poincaré’s limit

We consider vector valued, unit variance Gaussian processes defined over stratified manifolds and the geometry of their excursion sets. In particular, we develop an explicit formula for the expectation of all the Lipschitz-Killing curvatures of these sets. Whereas our motivation is primarily probabilistic, with statistical applications in the background, this formula has also an interpretation as a version of the classic kinematic fundamental formula of integral geometry. All of these aspects are developed in the paper. Particularly novel is the method of proof, which is based on a an approximation to the canonical Gaussian process on the n-sphere. The n → ∞ limit, which gives the final result, is handled via recent extensions of the classic Poincare limit theorem.
Quantum Communication in Games

Several different definitions of quantum games have been proposed over the past five years. Some of the results claimed for the differences between these quantum games and classical games identified as those to which they correspond have been criticized, however, as not being fair comparisons. In this paper I define classical and quantum versions of games with mediated communication, and propose that these are the classical and quantum games that should be compared.
An Action-Speciﬁ c Approach to Spatial Perception

People have conjectured about spatial perception for millennia, and have studied it in earnest for well over a hundred years. As can be seen in current perception textbooks, spatial perception is typically viewed as a general-purpose representation of the environment's layout. Th e perception of surface layout is generally thought to be unaffected by people's bodies, what they might be doing, or their internal physiological states. Textbooks divide spatial perception into topics defi ned by distal environmental properties such as the perception of distance, size, and shape. In this view, spatial perception is specifi c to the environmental properties that are perceived. Th is chapter provides a diff erent approach. Extending Gibson's (1979) theoretical approach, spatial perception is here viewed as a biological adaptation that supports our species' ways of life. From this perspective, spatial perception is action-specifi c and the subdivision of the fi eld is made relative to the actions that spatial perception supports, such as reaching, grasping, walking, and throwing. Perception relates spatial layout to one's abilities to perform intended actions and also to the inherent costs associated with their performance. In essence, it is proposed that people see the world as " reach-ers, " " graspers, " " walkers, " and so forth. By this account, perception relates and is infl uenced by three factors: the visually specifi ed environment , the body, and purpose.
Curb detection for driving assistance systems: A cubic spline-based approach

In this paper we present a real-time algorithm that detects curbs using a cubic spline model. A Digital Elevation Map (DEM) is used to represent the dense stereovision data. Curb measurements (cells) are detected on the current frame DEM. In order to compensate the small number of curb measurements for each frame we perform temporal integration. The result is a rich set of curb measurements that provides a good support for the least square cubic spline fitting. Thus, the curb cubic spline approximation is more stable and available on a much larger area, around the ego car. This compensates the limited field of view of typical stereo sensors. The detected curbs enrich the description of the ego car's surrounding 3D environment and can be used for driving assistance applications.
A Numerical Tool for the Investigation of Cavitating Flows in Turbopump Inducers

A numerical tool for the simulation of cavitating flows is presented in this paper. The numerical model is based on the 2D Euler/Navier-Stokes equations with a barotropic state law, which are solved in body fitted coordinates using a robust spatial and temporal differencing scheme. The model has been validated comparing numerical and experimental results on ogival and hemispherical axisymmetric head forms at different cavitation numbers. Simulations of the flow around a N AC AGO 15 airfoil have also been successfully performed. Then, 2D simulations of the blade-toblade flow at a fixed radial position of a 9° Helical Inducer have been carried out at various cavitation numbers. Water has been assumed as the working fluid. Cavitating regions of increasing size have been computed, until the cavitation bubble covers the entire blade profile; a good agreement is observed between the computed cavitation number and the values obtained both experimentally and through an empirical correlation for the case at which choked conditions are attained.
Trends in food intake in French children from 1999 to 2007: results from the INCA (étude Individuelle Nationale des Consommations Alimentaires) dietary surveys

The objectives of the present study were to assess the intake of different food groups in French children aged 3–17 years (n 1455), and to analyse trends since a dietary survey undertaken 8 years ago. Dietary intake was evaluated using data from the 2006–7 cross-sectional INCA2 national dietary survey (étude Individuelle Nationale sur les Consommations Alimentaires), based on a 7 d food record. Dietary intake (percentage of subjects consuming the food group and amount eaten) was assessed for thirty-nine food categories. We observed variations in food consumption by age, sex, North–South regional gradient, seasonal period and educational level of the responding parent. Trends in dietary intake between 1999 and 2007 were determined by comparing the INCA1 (n 1126) and the INCA2 surveys. Both surveys had been carried out using the same methodology. The findings showed a decrease in energy intake in children aged 3–14 years, due to a reduction in the consumption of foods of animal origin and sweetened products. In adolescents aged 15–17 years, energy intake remained rather stable; during this 8-year period, the consumption of meat decreased, whereas the consumption of savoury snacks such as sandwiches and hamburgers significantly increased. These trends occurred during a time of growing concern about overweight and the associated co-morbidities in France. A number of public health measures were implemented over this period to improve dietary habits and physical activity patterns in children and adults. The periodic monitoring of dietary patterns through the INCA surveys is an essential part of the surveillance network in France.
Distribution of 1990s Income Gains

Australia growth performance was in the one was 1990s of quite only impressive than a few in high-income the on 1980s a number countries (OECD, of counts, 2001). to experience even Australia's in the faster face growth in the 1990s than in the 1980s (OECD, 2001). Australia's pe formance was quite impressive on a number of counts, even in the face of external shocks (most notably the Asian economic crisis). The 1990s brought:
Towards evidence-based typography: Literature review and experiment design

During several centuries of typography many rules have been developed purporting to ensure better legibility and readability of printed copy. However, modern experimental research questions the absolute importance of these rules. In this paper we provide a short review of the existing literature and discuss an experimental design for the work we are planning to perform.
A new task mapping technique for communication-aware scheduling strategies

Clusters have become a very cost-effective platform for high-performance computing. In these systems, the trend is towards the interconnection network becoming the system bottleneck. Therefore, in the future, scheduling strategies will have to take into account the communication requirements of the applications and the communication bandwidth that the network can offer. One of the key issues in these strategies is the task mapping technique used when the network becomes the system bottleneck. In this paper, we propose an enhanced version of a previously proposed mapping technique that takes into account not only the existing network resources, but also the traffic generated by the applications. Also, we evaluate the mapping technique using real MPI application traces with timestamps. Evaluation results show that the rise of the new mapping technique fully exploits the available network bandwidth, improving load balancing and increasing the throughput that can be delivered by the network.
Investigation on acoustic modeling with different phoneme set for continuous Lhasa Tibetan recognition based on DNN method

Deep neural network (DNN) acoustic models have significantly advanced forward in recent years, outperforming the traditional Gaussian Mixture Hidden Markov Model (GMM-HMM) in large vocabulary continuous speech recognition tasks. We try to develop a practical Lhasa Tibetan ASR system. For higher speech recognition accuracy, in this paper, we consider to investigate the performances of Tibetan acoustic modeling using DNN method based on several different phoneme sets, which are defined based on linguistic and phonological knowledge of Tibetan Lhasa dialect. Experiments are conducted on a Tibetan corpus recorded by 20 persons, using a bigram language model over phones. The phone error rate (PER) results show that the acoustic model with CTL set performs best, which is relatively 10.43% higher accuracy than the basic phoneme set. Moreover, our results confirm the fact that for Lhasa Tibetan acoustic model, the paradigm DNN-HMM outperforms the conventional GMM-HMM.
A Polynomial Dynamic Programming Algorithm for Crude Oil Transportation Planning

Crude oil transportation is a central logistics operation in petrochemical industry because its cost represents a significant part in the cost of petrochemical products. In this paper, we consider the transportation by tankers or trucks. We show that under some realistic assumptions, this problem can be transformed into a single item lot sizing problem with limited production and inventory capacities. We develop a strongly polynomial dynamic programming algorithm to solve it. The problem of crude oil transportation is very difficult. There are few efficient methods in this domain. In the model considered in this paper, crude oil is directly shipped from a supplier port to n client ports to satisfy customer demands over T future periods. The supplier port disposes a fleet of identical tankers with limited capacity. The inventory capacities of customers are limited and time-varying. The backlogging is admitted. The objective is to find an optimal shipment plan minimizing the total cost over the T-period horizon. When the number of tankers is unlimited and customer demands are independent, shipment plans of different customers become independent. This problem can be considered as n independent problems. Each of them can be transformed into a single item lot sizing problem with limited production and inventory capacities, where tanker capacity corresponds to production capacity in classical lot sizing models. The main contributions of this paper are: 1) transformation of a transportation planning problem into a lot-sizing problem; 2) an O(T3) algorithm is proposed to solve it; and 3) the results can also be applied to terrestrial transportation with direct deliveries.
How Much Inequality of Earnings do People Perceive as Just?: the Effect of Interviewer Presence on Inequality Preferences

This paper asks how two structural conditions of an interview situation – the presence of the interviewer and the use of incentives – influence the preferences towards inequality. According to goal-framing theory and the findings of empirical justice research, different goal frames are activated in different types of relationships, producing different distributional preferences: A normative goal frame results in a stronger preference for equality in cooperative situations whereas a gain frame favors inequality in competitive situations. We assume the former type of relationship to be established by the presence of an interviewer, and the latter type to be established by incentivizing. Two experimental studies test our hypotheses. The results suggest that generating a collaborative relationship through interviewer presence and cooperation priming leads to a preference for equality in comparison to a neutral, competitive, or exchange situation using competitive priming techniques. The use of incentives generates a clear preference for inequality.
Perceiving and predicting the intended motion with human-machine interaction force for walking assistive exoskeleton robot

The characteristic of man in the loop has always brought lots of difficulties for the control of exoskeleton. To solve these, a hybrid control method based on human-machine interaction force (HMIF) is proposed and applied to the control of lower limb exoskeleton in this paper. We innovatively combine ground contact pressure and body contact force together and give full play to their respective advantages. With the virtual modification of human limb impedance properties, the nature of the human body energy saving with exoskeleton is revealed. One of the greatest strengths of this control strategy is that exoskeleton is able to perceive and anticipate the pilot intended motion in real time, thereby decrease the power consumption of pilot and provide most of the strength necessary for human walking. The simulation results demonstrate the feasibility and validity of the proposed control strategy. The exoskeleton can follow the pilot's motion trajectory and minimize the body contact force without the exact dynamic model.
A novel classification of web service composition and optimization approach using skyline algorithm integrated with agents

This paper narrates a brief survey about the existing approaches in web services composition. The main research areas in web services are related to discovery, security, and composition. Among all these areas, web services composition turns out to be a challenging one, because within the service-oriented computing domain, Web service composition is an effective recognition to satisfy the hastily changing requirements of business. Therefore, the Web service composition has unfolded broadly in the research side. However, the current attempts to classify Web service composition is not appropriate to the objectives. This paper proposes a novel classification matrix for Web service composition, that distinguishes between the context and technology dimension. The context dimension is aimed at analyzing the QoS influence on the effort of Web service composition, while the technology dimension focuses on the technique influence on the effort. Finally, this paper provides a suggestion to improve the quality of service selection those participates in the composition process with Cskyline approach using agents.
Thirlwall’s Law and Uneven Development

Abstract: Thirlwall’s analysis of balance-of-payments–constrained growth, and what has come to be called Thirlwall’s Law, have usually been used to understand the determinants of growth for individual countries. This paper argues that another important use of Thirlwall’s Law is to understand the mechanics of uneven development between rich and poor countries. To contribute to such an analysis the paper incorporates Thirlwall’s analysis into a model of North–South trade to show how it explains uneven development. The paper also points to the needfor empirical work necessary for relating Thirlwall’s Law to uneven development, which is different from the work related to the law that has proliferated in recent years.
Protease‐activated receptor 2 sensitizes the transient receptor potential vanilloid 4 ion channel to cause mechanical hyperalgesia in mice

Exacerbated sensitivity to mechanical stimuli that are normally innocuous or mildly painful (mechanical allodynia and hyperalgesia) occurs during inflammation and underlies painful diseases. Proteases that are generated during inflammation and disease cleave protease‐activated receptor 2 (PAR2) on afferent nerves to cause mechanical hyperalgesia in the skin and intestine by unknown mechanisms. We hypothesized that PAR2‐mediated mechanical hyperalgesia requires sensitization of the ion channel transient receptor potential vanilloid 4 (TRPV4). Immunoreactive TRPV4 was coexpressed by rat dorsal root ganglia (DRG) neurons with PAR2, substance P (SP) and calcitonin gene‐related peptide (CGRP), mediators of pain transmission. In PAR2‐expressing cell lines that either naturally expressed TRPV4 (bronchial epithelial cells) or that were transfected to express TRPV4 (HEK cells), pretreatment with a PAR2 agonist enhanced Ca2+ and current responses to the TRPV4 agonists phorbol ester 4α‐phorbol 12,13‐didecanoate (4αPDD) and hypotonic solutions. PAR2‐agonist similarly sensitized TRPV4 Ca2+ signals and currents in DRG neurons. Antagonists of phospholipase Cβ and protein kinases A, C and D inhibited PAR2‐induced sensitization of TRPV4 Ca2+ signals and currents. 4αPDD and hypotonic solutions stimulated SP and CGRP release from dorsal horn of rat spinal cord, and pretreatment with PAR2 agonist sensitized TRPV4‐dependent peptide release. Intraplantar injection of PAR2 agonist caused mechanical hyperalgesia in mice and sensitized pain responses to the TRPV4 agonists 4αPDD and hypotonic solutions. Deletion of TRPV4 prevented PAR2 agonist‐induced mechanical hyperalgesia and sensitization. This novel mechanism, by which PAR2 activates a second messenger to sensitize TRPV4‐dependent release of nociceptive peptides and induce mechanical hyperalgesia, may underlie inflammatory hyperalgesia in diseases where proteases are activated and released.
R&D, Socio-Economic Conditions and Regional Innovation in the United States

This paper looks at the genesis of innovation in the United States from a territorial perspective. The analysis aims to disentangle the impact of local R&D expenditure from other contextual conditions supportive of the process of innovation. Particular emphasis is devoted to the role of socio-economic factors and systems of innovation conditions (social filter conditions) and to their impact on the returns of R&D expenditure in different territorial contexts. The empirical analysis is based on a Regional Knowledge Production Function approach, leading to an empirical model estimated by means of panel data analysis for the period between 1994 and 2007 at the US Bureau of Economic Analysis (BEA)-Economic Area level. The results unveil the complexity of the territorial dynamics of innovation of the US. Local R&D investments are important predictors for regional innovative performance and their impact is highly localized. However, social filter conditions are fundamental for the productivity of innovation efforts.
Disease Mapping 14.1 Background

The mapping of disease incidence and prevalence has long been a part of public health, epidemiology , and the study of disease in human populations (Koch, 2005). In this chapter, we focus on the challenge of obtaining reliable statistical estimates of local disease risk based on counts of observed cases within small administrative districts or regions coupled with potentially relevant background information (e.g., the number of individuals at risk and, possibly, covariate information, such as the regional age distribution, measures of socioeconomic status , or ambient levels of pollution). Our goals are twofold: we want statistically precise (i.e., low variance) local estimates of disease risk for each region, and we also want the regions to be " small " in order to maintain geographic resolution (i.e., we want the map to show local detail as well as broad trends). The fundamental problem in meeting both goals is that they are directly at odds with one another: the areas are not only " small " in geographic area (relative to the area of the full spatial domain of interest) resulting in a detailed map, but also " small " in terms of local sample size, resulting in deteriorated local statistical precision. Classical design-based solutions to this problem are often infeasible since the local sample sizes within each region required for desired levels of statistical precision are often unavailable or unattainable. For example, large national or state health surveys in the United States such as the National Health Interview Survey, the National Health and Nutrition Examination Survey, or the Behavioral Risk Factor Surveillance System provide design-based estimates of aggregate or average values at the national or possibly the state level. But, even as large as they are, such surveys often do not include sufficient sample sizes at smaller geographic levels to allow accurate, local, design-based estimation everywhere (Schlaible, 1996). In contrast, model-based approaches offer a mechanism to " borrow strength " across small areas to improve local estimates, resulting in the smoothing of extreme rates based on small local sample sizes. Such approaches often are expressed as mixed effects models and trace back to the work of Fay and Herriot (1979), who proposed the use of random intercepts to pool information and provide subgroup-level estimated rates. Their model forms the basis of a considerable literature in small area estimation
Critical Thinking Skills Based–Physical Activities Learning Model for Early Childhood

This research aimed to develop a physical activities learning model (MPAF) based on critical thinking skills (CTS) among children aged 5 to 6 years old and to evaluate its validity, practicality or commitment, and effectiveness in implementing the CTS based –MPAF among those children. The data were collected from 14 students of TK (Kindergarten) Negeri Pembina Surabaya through both qualitative and quantitative methods. The finding revealed that teachers played a vital role in learning process and could be confirmed by a successful achievement of valid, practical and effective critical thinking according to the determined standards. Conclusion: CTS based – MPAF can successfully work if the teachers precisely realize the learning principles in early childhood education and CTS based – syntax referred to available references.