Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensorless Vector Control of Induction Motor Drive - A Model Based Approach

Induction machines are more rugged, compact, cheap and reliable in comparison to other machines used in similar applications. Vector controlled induction motor drive outperforms the dc motor drive because of higher transient current capability, increased speed range and lower rotor inertia. Sensors widely used in electric drives degrade the reliability of the system especially in hostile environments and require special attention to electrical noise. Moreover, it is difficult to mount sensors in certain applications in addition to extra expenses involved. Therefore, a lot of researches are underway to develop accurate speed estimation techniques. With sensorless vector control we have a decoupled control structure similar to that of a separately excited dc motor retaining the inherent ruggedness of the induction motor at the same time. Speed sensorless control technique first appeared in (Abbondante & Brennen, 1975). The commonly used methods for speed estimation are Model Reference Adaptive System (MRAS) (Schauder, 1992; Tajima & Hori, 1993; Peng & Fukao, 1994; Choy et al., 1996), Neural Networks (Simoes & Bose, 1995; Fodor et al., 1995; Ben-Brahim & Kudor, 1995; Kim et al., 2001; Toqeer & Bayindir, 2003; Haghgoeian et al., 2005), Extended Kalman Filter (EKF) (Kim et al.,1994, Comnac et al., 2001; Ma & Gui, 2002; Du et al., 1995; Thongam & Thoudam, 2004) and Nonlinear Observer (Bodson et al., 1995; Liu et al., 2001, Pappano et al., 1998). The aim of this chapter is to provide with a brief overview of high performance sensorless induction motor drive. There exist two approaches to speed estimation for sensorless control of induction machine: non model based approach and model based approach. The non model based technique tracks a machine anisotropy: either saturation for flux estimation or rotor slotting for rotor position estimation, whereas the model based technique rely mostly on back emf voltage associated with fundamental component excitation of the machine. Model-based observers are considered very well adapted for state estimation and allow, in most cases, a stability proof and a methodology to tune observer gains. Among the observers the reduced order observers are more frequently implemented than the full order ones as they don’t require heavy computations. Two sensorless vector control strategies using machine model-based estimation are presented in this chapter.
The photodynamic tool: generation of animation from a single texture image

This paper proposes a new animation editing method for creating animations from a single texture image. A standard warping method can not handle a physical motion effect because of a manual control. The Navier-Stokes equation based method is known to be able to animate a fluid-like animation. However, the difficulties of defining initial- and boundary-conditions with many control parameters remain unsolved for a stable and desired animation. And it offers a heavy computation. In this paper, an advection equation that is a physical-based and compact equation is used. A unique interface is also introduced with a gallery of many velocity vectors: convergence, rotation and vibration. Our method is versatile because that the combination of such velocity patterns can animate a quasi-linear motion over time by solving a set of the linear equations. We have carried out several experiments using some real images. The results of animations show that the PDT is effective, efficient, and easy to use.
Evaluation of ventilation maldistribution as an early indicator of lung disease in children with cystic fibrosis

Many children with cystic fibrosis (CF), receiving modern, aggressive CF care, have normal spirometry results. This study aimed to see if homogeneity of ventilation distribution is impaired early in the course of CF lung disease, and if ventilation inhomogeneity is a more frequent finding than abnormal spirometry in children benefiting from modern CF care. The study compared spirometry findings to two indices of ventilation inhomogeneity (mixing ratio (MR) and lung clearance index (LCI)) from multiple-breath inert gas washout in 43 children with CF, aged 3–18 yrs, and 28 healthy children. In total, 10/43 CF subjects (23%) had reduced forced expiratory volume in one second (FEV1) and 14/34 (41%) showed abnormal maximum expiratory flow at 25% of forced vital capacity (MEF25). In contrast, MR was abnormal in 31/43 (72%) and LCI in 27/43 (63%). MR was abnormal in 22/33 CF subjects with normal FEV1, versus 0/28 controls (p<0.001), and abnormal MR was found in 10/20 CF subjects with normal MEF25, versus 0/22 controls (p<0.001). Nine of the 10 CF subjects with reduced FEV1 and 12/14 with abnormal MEF25 showed abnormal MR. Inert gas washout discloses airway dysfunction in the majority of children with cystic fibrosis with normal lung function judged by spirometry. These findings suggest that multiple-breath inert gas washout is of greater value than spirometry in detecting early cystic fibrosis lung disease.
An Engineered PAX3-KRAB Transcriptional Repressor Inhibits the Malignant Phenotype of Alveolar Rhabdomyosarcoma Cells Harboring the Endogenous PAX3-FKHR Oncogene

ABSTRACT The t(2;13) chromosomal translocation in alveolar rhabdomyosarcoma tumors (ARMS) creates an oncogenic transcriptional activator by fusion of PAX3 DNA binding motifs to a COOH-terminal activation domain derived from the FKHR gene. The dominant oncogenic potential of the PAX3-FKHR fusion protein is dependent on the FKHR activation domain. We have fused the KRAB repression module to the PAX3 DNA binding domain as a strategy to suppress the activity of the PAX3-FKHR oncogene. The PAX3-KRAB protein bound PAX3 target DNA sequences and repressed PAX3-dependent reporter plasmids. Stable expression of the PAX3-KRAB protein in ARMS cell lines resulted in loss of the ability of the cells to grow in low-serum or soft agar and to form tumors in SCID mice. Stable expression of a PAX3-KRAB mutant, which lacks repression function, or a KRAB protein alone, lacking a PAX3 DNA binding domain, failed to suppress the ARMS malignant phenotype. These data suggest that the PAX3-KRAB repressor functions as a DNA-binding-dependent suppressor of the transformed phenotype of ARMS cells, probably via competition with the endogenous PAX3-FKHR oncogene and repression of target genes required for ARMS tumorigenesis. The engineered repressor approach that directs a transcriptional repression domain to target genes deregulated by the PAX3-FKHR oncogene may be a useful strategy to identify the target genes critical for ARMS tumorigenesis.
'COPE'ing with institutional pressures: a reintroduction of pragmatism to the study of organisations

Recent organisational scholarship has begun to rekindle an interest in the study of pragmatism and our goal in this manuscript is to demonstrate that pragmatist thought has important implications for organisational studies that have been overlooked due to contention over nuances of the theory. As such, we propose a synthesis of pragmatism through the COPE typology (Boje, 2014) that represents our view of the four main tenants of pragmatism: critical, ontological, positivistic and epistemic. Further, we utilise COPE by applying it to the question of organisational heterogeneity within institutional theory. In doing so, this manuscript makes important contributions to the study of pragmatism and institutional theory while providing new insights to predict how internal organisational processes are developed and how organisations respond to environmental pressures.
Simulations of radiocarbon in a coarse-resolution world ocean model: 1. Steady state prebomb distributions

This paper presents the results of five numerical simulations of the radiocarbon distribution in the ocean using the Geophysical Fluid Dynamics Laboratory primitive equation world ocean general circulation model. The model has a 4.5° latitude by 3.75° longitude grid, 12 vertical levels, and realistic continental boundaries and bottom topography. The model is forced at the surface by observed, annually averaged temperatures, salinities, and wind stresses. There are no chemical transformations or transport of 14C by biological processes in the model. Each simulation in this paper has been run out the equivalent of several thousand years to simulate the natural, steady state distribution of 14C in the ocean. In a companion paper the final state of these simulations is used as the starting point for simulations of the ocean's transient uptake of bomb-produced 14C. The model reproduces the mid-depth 14C minimum observed in the North Pacific and the strong front near 45°S between old, deep Pacific waters and younger circumpolar waters. In the Atlantic, the model's deep 14C distribution is much too strongly layered with relatively old water from the Antarctic penetrating into the northern reaches of the North Atlantic basin. Two thirds of the decay of 14C between 35°S and 35°N is balanced by local 14C input from the atmosphere and downward transport by vertical mixing (both diffusion and advective stirring). Only one third is balanced by transport of 14C from high latitudes. A moderately small mixing coefficient of 0.3 cm2 s−1 adequately parameterizes vertical diffusion in the upper kilometer. Spatial variation in gas exchange rates is found to have a negligible effect on deepwater radiocarbon values. Ventilation of the circumpolar region is organized in the model as a deep overturning cell which penetrates as much as 3500 m below the surface. While allowing the circumpolar deep water to be relatively well ventilated, the overturning cell restricts the ventilation of the deep Pacific and Indian basins to the north. This study utilizes three different realizations of the ocean circulation. One is generated by a purely prognostic model, in which only surface temperatures and salinities are restored to observed values. Two are generated by a semidiagnostic model, in which interior temperatures and salinities are restored toward observed values with a 1/50 year−1 time constant. The prognostic version is found to produce a clearly superior deep circulation in spite of producing interior temperatures and salinities which deviate very noticeably from observed values. The weak restoring terms in the diagnostic model suppress convection and other vertical motions, causing major disruptions in the diagnostic model's deep sea ventilation.
Modeling Circadian Oscillations with Interlocking Positive and Negative Feedback Loops

Both positive and negative feedback loops of transcriptional regulation have been proposed to be important for the generation of circadian rhythms. To test the sufficiency of the proposed mechanisms, two differential equation-based models were constructed to describe theNeurospora crassa and Drosophila melanogastercircadian oscillators. In the model of the Neurosporaoscillator, FRQ suppresses frq transcription by binding to a complex of the transcriptional activators WC-1 and WC-2, thus yielding negative feedback. FRQ also activates synthesis of WC-1, which in turn activates frq transcription, yielding positive feedback. In the model of the Drosophila oscillator, PER and TIM are represented by a “lumped” variable, “PER. ” PER suppresses its own transcription by binding to the transcriptional regulator dCLOCK, thus yielding negative feedback. PER also binds to dCLOCK to de-repressdclock, and dCLOCK in turn activates pertranscription, yielding positive feedback. Both models displayed circadian oscillations that were robust to parameter variations and to noise and that entrained to simulated light/dark cycles. Circadian oscillations were only obtained if time delays were included to represent processes not modeled in detail (e.g., transcription and translation). In both models, oscillations were preserved when positive feedback was removed.
Cooperative self-organized optimal power control for interference mitigation in femtocell networks

The deployment of the latest third generation wireless networks along with the explosive growth of advanced mobile devices demands additional electromagnetic spectrum to support both a growing number of users and new bandwidth intensive applications. Self-organizing features that facilitate deployment, operation and management of femtocells are common requirements of modern standards. Femtocells are designed to be installed by the user in unplanned locations thus it is critical to mitigate the interference created for macrocells as well as that between femtocells. In our research we look at the power control for interference management in femtocell networks using cooperative optimal control theory. We propose a cost index and a quadratic programming framework that takes into consideration path losses between femtocells and enables a solution that arrives to an optimal transmission power in the downlink. Our framework enables femtocell transmitters to set operation points that yield signal quality guarantees for indoor users while managing the interference between femtocells.
Hydrological modelling for meso-scale catchments using globally available data

This study focuses on modelling water balances for catchments with limited data availability. The objective was to use globally available data for water balance modelling of meso-scale catchments. The study is carried out in two catchments; one having enough data for the performance check of the model and the other with very few data for model validation. Globally available meteorological and geographical data is used for the basic model inputs. Dissaggregation of the global data, both spatially and temporally, was conducted to distribute the available data across the watershed and to attain higher resolution input data for the model. In addition, a glacier module was developed for the regions covered by glaciers. The HBV-IWS model developed at the Institute of Hydraulic Engineering at the University of Stuttgart is applied. The outcomes of the modelling provide noteworthy results for both catchments that can be used in water resources planning and management issues. Moreover, the research presents the potential for modelling water balances using predominantly globally available data and proposes appropriate disaggregation methods for global data usage.
Quality assurance for the query and distribution systems of the RCSB Protein Data Bank

The RCSB Protein Data Bank (RCSB PDB, www.pdb.org) is a key online resource for structural biology and related scientific disciplines. The website is used on average by 165 000 unique visitors per month, and more than 2000 other websites link to it. The amount and complexity of PDB data as well as the expectations on its usage are growing rapidly. Therefore, ensuring the reliability and robustness of the RCSB PDB query and distribution systems are crucially important and increasingly challenging. This article describes quality assurance for the RCSB PDB website at several distinct levels, including: (i) hardware redundancy and failover, (ii) testing protocols for weekly database updates, (iii) testing and release procedures for major software updates and (iv) miscellaneous monitoring and troubleshooting tools and practices. As such it provides suggestions for how other websites might be operated. Database URL: www.pdb. org
Schooling and Public Capital in a Model of Endogenous Growth

This paper studies the allocation of public spending between education services and infrastructure investment in an endogenous growth model of a developing economy where public capital in infrastructure affects human capital accumulation. The balanced growth path is derived and the possibility of local indeterminacy is discussed. Dynamics associated with a budget-neutral reallocation of spending from education to infrastructure are studied through numerical simulations. The growth‐maximizing share of investment in infrastructure is shown to depend on the goods production technology and the ‘productiveness’ of infrastructure in the schooling technology. Properties of the welfare‐maximizing solution are also discussed.
The adoption of mobile tourism services: an empirical study

This study is investigating the adoption of mobile tourism services in Norway. By expanding the Technology Acceptance Model (TAM), a research model, called mobile services acceptance model including seven research hypotheses is presented. The proposed research model and research hypotheses were empirically tested using data collected from a survey of 47 users of a mobile tourism service called extended Mobile Tourist Service Recommender (MTSR) in a city in Norway. The findings indicated that the fitness of the research model is good and strong support was found for the seven research hypotheses. Among all the factors, the personal initiatives and characteristics had the most significant influence on the intention to use MTSR.
Various Oxygen-Centered Phosphanegold(I) Cluster Cations Formed by Polyoxometalate (POM)-Mediated Clusterization: Effects of POMs and Phosphanes

Novel phosphanegold(I) cluster cations combined with polyoxometalate (POM) anions, i.e., intercluster compounds, [(Au{P(m-FPh)3})4(μ4-O)]2[{(Au{P(m-FPh)3})2 (μ-OH)}2][α-PMo12O40]2·EtOH (1), [(Au{P(m-FPh)3})4(μ4-O)]2[α-SiMo12O40]·4H2O (2), [(Au{P(m-MePh)3})4(μ4-O)]2[α-SiM12O40] (M = W (3), Mo (4)) and [{(Au {P(p-MePh)3})4(μ4-O)}{(Au{P(p-MePh)3})3(μ3-O)}][α-PW12O40] (5) were synthesized by POM-mediated clusterization, and unequivocally characterized by elemental analysis, TG/DTA, FT-IR, X-ray crystallography, solid-state CPMAS 31P NMR and solution (1H, 31P{1H}) NMR. Formation of the these gold(I) cluster cations was strongly dependent upon the charge density and acidity of the POMs, and the substituents and substituted positions on the aryl group of triarylphosphane ligands. These gold(I) cluster cations contained various bridged-oxygen atoms such as μ4-O, μ3-O and μ-OH groups.
When High-Powered People Fail

We examined the relation between pressure-induced performance decrements, or “choking under pressure,” in mathematical problem solving and individual differences in working memory capacity. In cognitively based academic skills such as math, pressure is thought to harm performance by reducing the working memory capacity available for skill execution. Results demonstrated that only individuals high in working memory capacity were harmed by performance pressure, and, furthermore, these skill decrements were limited to math problems with the highest demands on working memory capacity. These findings suggest that performance pressure harms individuals most qualified to succeed by consuming the working memory capacity that they rely on for their superior performance.
Rethinking Aid

This paper reviews the recent debate on the role of aid in providing finance, in changing policies in recipient countries, and in transmitting knowledge. It argues that where economic reforms are recent, as in much of Africa, donors can play an important signalling role. This potential remains untapped because aid allocations have been largely based on political considerations. Donors fear " aid dependency " and have therefore pushed for the substitution of domestic taxation for aid. The cost of taxation may instead justify the use of aid for tax relief, particularly where the cost of taxation is likely to decline with development.
Active Appearance Models for Automatic Fitting of 3D Morphable Models

This paper presents a fast fitting method for 3D Morphable Models (3DMMs). In most cases fitting a Morphable Model to an image is done using slow non-linear optimization processes. We avoid this by introducing a relationship to Active Appearance Models (AAMs) that can be used to linearize the non-linear optimization problem of 3DMM fitting. Using the combination of a constrained AAM and closed form 2D-3D fitting method for 3DMMs we show that a perceptually close 3D shape can be extracted from the AAM fittings. We show preliminary results of the method and a simplified exterior orientation solution. Finally we conclude with a tracking algorithm that is based on the combination of the AAM and 3DMM, presenting the tracking and reconstruction errors.
Using social Internet of Things (SIoT) demand side management on the plant

Demand-side management program is important for future smart grid. Most of the DSM program developed in the past interact customer and utility company. We suggest the Factory Management System using Social Internet of Things. It is not interaction between customer and utility company but interaction between things and things. Therefore we propose a autonomous demand-side management system and a system architecture.
THE ORBITS OF THE TRIPLE-STAR SYSTEM 1 GEMINORUM FROM PHASES DIFFERENTIAL ASTROMETRY AND SPECTROSCOPY

We have used precise differential astrometry from the Palomar High-precision Astrometric Search for Exoplanet Systems project and radial-velocity measurements covering a time span of 40 yr to determine the orbital parameters of the 1 Geminorum triple system. We present the first detection of the spectral lines of the third component of the system, together with precise mass (0.5%) and distance (0.15%) determinations for this system. In addition, our astrometry allows us to make the first determination of the mutual inclination of the orbits.
Mass models of the Milky Way

A parametrized model of the mass distribution within the Milky Way is fitted to the available observational constraints. The most important single parameter is the ratio of the scalelength Rd* of the stellar disc to R0. The disc and bulge dominate vc(R) at R≲R0 only for Rd,*/R0≲0.3. Since the only knowledge we have of the halo derives from studies like the present one, we allow it to contribute to the density at all radii. When allowed this freedom, however, the halo causes changes in assumptions relating to R ≪ R0 to affect profoundly the structure of the best-fitting model at R ≫ R0. For example, changing the disc slightly from an exponential surface-density profile significantly changes the form of vc(R) at R ≫ R0, where the disc makes a negligible contribution to vc. Moreover, minor changes in the constraints can cause the halo to develop a deep hole at its centre that is not physically plausible. These problems call into question the proposition that flat rotation curves arise because galaxies have physically distinct haloes rather than outwards-increasing mass-to-light ratios. The mass distribution of the Galaxy and the relative importance of its various components will remain very uncertain until more observational data can be used to constrain mass models. Data that constrain the Galactic force field at z≳R and at R > R0 are especially important.