Miracle-dz/UniFAR-FTUs huggingface dataset:
Loop Shaping by Single-Resonant Controllers for Prescribed Tracking of Sinusoidal References

It is well-known that in ac-grid-connected or motor-driving converters, current behavior directly sets the exchange of power between the two. Moreover, in corresponding current plants, most of the disturbance (formed by grid voltage or back EMF and the dc-link voltage) may be measured/estimated and appropriately canceled, reducing the current regulation problem to tracking challenge only. The latter is still of extreme importance since the amount of active/reactive power exchanged is proportional to current magnitude and phase. Recently, a method for deriving proportional-resonant controller structure and coefficients according to desired tracking behavior of ac signal amplitude, applied to typical power converter current loop, was proposed based on the fact that if ac signal envelope is perceived as dc signal, its transient behavior may be easily shaped utilizing well-known approaches employed in dc systems loop shaping while keeping zero phase tracking error at all time. This paper extends the proposed methodology by introducing in-depth analysis of the resulting loop gain shaping, applying practical issues, such as actuator delay, damping, and finite word length to the system, yielding a closed set of hands-on design guidelines. Experimental results are also given, providing a two-fold value: successfully validating the presented material and demonstrating that some of the previously reported outcomes (based on simulations) cannot be achieved in practice due to the above mentioned real world constraints.
A Systematic Review of Artificial Intelligence and Robots in Value Co-creation: Current Status and Future Research Avenues

Abstract As artificial intelligence (AI) and robots are increasingly taking place in practical service solutions, it is necessary to understand technology in value co-creation. We conducted a systematic literature review on the topic to advance theoretical analysis of AI and robots in value co-creation. By systematically reviewing 61 AI and robotics articles, which have been published in top marketing and service research journals, we identified four themes in literature, namely, generic field advancement, supporting service providers, enabling resource integration between service providers and beneficiaries, and supporting beneficiaries’ well-being. With the identification of the first set of literature on AI and robots in value co-creation, we push forward an important sub-field of value co-creation literature. In addition, to advance the field, we suggest building on actor–network theory and science and technology studies to understand the agency of technology in value co-creation. Considering that technology has agency, it opens new interesting research avenues around shopping bots and human-to-non-human frontline interaction that are likely to influence resource integration, customer engagement and value co-creation in the future. We also encourage our colleagues to conduct postphenomenological research to be better geared for analysing how technology (including AI and robots) mediates the individual experience of value.
Slow ground state molecules from matrix isolation sublimation

We describe the generation and properties of a cryogenic beam of 7Li2 dimers from sublimation of a neon matrix where lithium atoms have been implanted via laser ablation of solid precursors of metallic lithium or lithium hydride (LiH). Different sublimation regimes lead to pulsed molecular beams with different temperatures, densities and forward velocities. With laser absorption spectroscopy these parameters were measured using the molecular 7Li2 (R) transitions A 1 &Sgr; u + ( v ′ = 4 , J ′ = J ″ + 1 ) ← X ? > 1 &Sgr; g + ( v ″ = 0 , J ″ = 0 , 1 , 3 ) ? > . In a typical regime, sublimating a matrix at 16 K, translational temperatures of 6–8 K with a drift velocity of 130 m s−1 in a free expanding pulsed beam with molecular density of 109 cm−3, averaged along the laser axis, were observed. Rotational temperatures around 5–7 K were obtained. In recent experiments we were able to monitor the atomic Li signal—in the D2 line—concomitantly with the molecular signal in order to compare them as a function of the number of ablation pulses. Based on the data and a simple model, we discuss the possibility that a fraction of these molecules are being formed in the matrix, by mating atoms from different ablation pulses, which would open up the way to formation of other more interesting and difficult molecules to be studied at low temperatures. Such a source of cryogenic molecules have possible applications encompassing fundamental physics tests, quantum information studies, cold collisions, chemistry, and trapping.
Comparison of Different Methods for Determining Atmospheric Parameters of A and F Stars

The atmospheric parameters of metallic-lined (Am) stars have been the subject of much debate. Using spectrophotometric flux fit ting, Lane & Lester (1984) obtained values of T e ff and log g for several classical Am stars that were systematically lower than those obtained by Dworetsky & Moon (1986), who used empirically calibrated uvby/3 photom etry. We have used the standard procedures of photometry, spectropho tometry and hydrogen-line profile fitting to determine the atmospheric parameters of many A and F stars, including several Am stars. Modifi cations to the standard techniques have been used to allow for the effects of cooler companion stars in the determination of such parameters. It is found that spectrophotometric methods give results for T e ff and log<7 that are highly sensitive to the adopted metal abundance. This explains the anomalous results of Lane & Lester.
On a general regularization scheme for nonlinear ill-posed problems

In this paper we introduce a general regularization scheme to reconstruct solutions of nonlinear ill-posed problems F(x)=y where instead of y noisy data with are given and is a nonlinear operator between Hilbert spaces X and Y. In this regularization scheme regularized solutions are defined as a fixed point of the nonlinear equation where and stands for . Assuming certain conditions concerning the nonlinear operator F and the smoothness of the element we derive stability estimates which show that the accuracy of the regularized solutions is order optimal provided that the function and the regularization parameter have been chosen properly.
Space-frequency analysis and reduction of potential field ambiguity

Ambiguity of depth estimation of magnetic sources via spectral analysis can be reduced representing its field via a set of space-frequency atoms. This is obtained throughout a continuous wavelet transform using a Morlet analyzing wavelet. In the phase-plane representation even a weak contribution related to deep-seated sources is clearly distinguished with respect a more intense effect of a shallow source, also in the presence of a strong noise. Furthermore, a new concept of local power spectrum allows the depth to both the sources to be correctly interpreted. Neither result can be provided by standard Fourier analysis. Another method is proposed to reduce ambiguity by inversion of potential field data lying along the vertical axis. This method allows a depth resolution to gravity or the magnetic methods and below some conditions helps to reduce their inherent ambiguity. Unlike the case of monopoles, inversion of a vertical profile of gravity data above a cubic source gives correct results for the cube side and density.
Organic nanoparticles

Physical and chemical methods for the synthesis of nanoparticles of complex organic compounds (mechanical grinding, laser ablation, solvent replacement, reduction in solution, ion association, etc.) are analyzed. Emphasis is placed on a method that employs supercritical fluids and on cryochemical synthesis. Physicochemical properties of nanoparticles of organic compounds and the prospects of their use are considered.
The use of robotics devices in knee rehabilitation: a critical review

Knee surgery is a common procedure to treat cartilage defects, soft tissue lesions as cruciate ligaments (ACL/PCL), and osteoarthritis with total or unicondylar knee arthroplasty. After knee surgery, every patient undergoes a long period of rehabilitation (typically from 6 weeks to 6 months) consisting of long sessions of physiotherapy and medical training therapy carried out by qualified personnel. This procedure is long and expensive, and may cause work-related pathologies to physiotherapists. Fortunately, it is generally agreed that robotics may benefit to both patients and physiotherapists due to its ability to repeat tasks with accuracy and its potential to measure the progress of the rehabilitation. This paper aims at providing a critical review of the different proposed robotic solutions and the associated rehabilitation techniques for the knee in particular and for the lower limb in general, with the sake of highlighting the pros and cons and to identify possible promising directions of research.
Temperature-controlled reversible pore size change of electrospun fibrous shape-memory polymer actuator based meshes

Fibrous membranes capable of dynamically responding to external stimuli are highly desirable in textiles and biomedical materials, where adaptive behavior is required to accommodate complex environmental changes. For example, the creation of fabrics with temperature-dependent moisture permeability or self-regulating membranes for air filtration is dependent on the development of materials that exhibit a reversible stimuli-responsive pore size change. Here, by imbuing covalently crosslinked poly(ε-caprolactone) (cPCL) fibrous meshes with a reversible bidirectional shape-memory polymer actuation (rbSMPA) we create a material capable of temperature-controlled changes in porosity. Cyclic thermomechanical testing was used to characterize the mechanical properties of the meshes, which were composed of randomly arranged microfibers with diameters of 2.3 ± 0.6 μm giving an average pore size of approx. 10 μm. When subjected to programming strains of εm = 300% and 100% reversible strain changes of εʹrev = 22% ± 1% and 6% ± 1% were measured, with switching temperature ranges of 10 °C–30 °C and 45 °C–60 °C for heating and cooling, respectively. The rbSMPA of cPCL fibrous meshes generated a microscale reversible pore size change of 11% ± 3% (an average of 1.5 ± 0.6 μm), as measured by scanning electron microscopy. The incorporation of a two-way shape-memory actuation capability into fibrous meshes is anticipated to advance the development and application of smart membrane materials, creating commercially viable textiles and devices with enhanced performance and novel functionality.
Sliding-mode controller for a three level DC-DC Boost converter

Renewable energy systems have been using to provide voltage to the Boost Converter which has to be boosted up before being inverted and connected to the grid. The controller technique should provide good voltage regulation and suitable for the Boost DC-DC conversion purposes. There are many controller techniques are proposed for MBC. This paper provides Reduce order model for a three level Boost Converter and focused on SMC without integrator, with integrator and double integrator, Results have been analyzed. KeywordsMultilevel boost converter (MBC), Sliding mode controller (SMC).
A Review on Various Techniques for Object Detection

Detection of object and recognition of objects in real world computing environment is one of the important tasks in computer vision. To solve this task there are many challenges in designing algorithm, we have to introduce different and innovative algorithms to detect objects in natural environments. Detection of object is a computer technology which is related to the computer vision and image processing. This paper provides a brief description of techniques, methods and algorithms used in object detection. At last it highlights the importance of selective image encryption. Keywords— Support vector machine (SVM); Human visual system; object detection techniques; image processing; computer vision;
Preparation of Pb(Zr, Ti)O3 Thin Films by Multi-Target Sputtering

Lead zirconate titanate (PZT) thin films have been prepared with a multi-target sputtering system onto Pt-coated Si substrates. Structure, composition and dielectric properties have been investigated on films ranging in thickness from 60 nm to 1400 nm. The dominant phase of PZT thin films varied from pyrochlore to perovskite with increasing film thickness. An interface PZT layer with about 100 nm thickness, which was confirmed to mainly consist of pyrochlore phase grains, was observed at the PZT/Pt interface in a cross-sectional transmission electron microscopy (TEM) image of an 850 nm thick film. That is, the pyrochlore grains preferentially grow at the early stage of deposition and do not change their structure during subsequent deposition. Dielectric constant and remnant polarization were degraded with decreasing thickness. This can be explained in view of the existence of the interface layer with a low dielectric constant.
Externally guided underfill encapsulation and subsequent filler particle migration during electronics packaging

We present a numerical study of the transient multiphase flow of a liquid encapsulant in a microgap formed between parallel plates with special reference to electronics packaging. The surface tension and polarization forces are assumed to drive the fluid flow. The governing equations are solved using the volume of fluid model within the framework of the finite volume method in order to predict the free surface front of the encapsulant together with the time and spatial evolution of filler particle concentration during the underfill process. The numerical results are found to be in good agreement with available reported experimental data. The influence of the polarization force is found to reduce the encapsulant fill time, increase the flow length and distribute the filler particles to a larger flow length. The new process has practical implications, such as overcoming the partial curing of underfill epoxy before the flow is complete.
Facility location selection for plastic manufacturing industry in Bangladesh by using AHP method

In present’s, the location selection problems play an important role for the top-level manager or entrepreneur for opening a new manufacturing company or relocate or expand their operation. As an engineered material, the plastic is used for manufacturing a wide variety of domestic products. For this reason, the plastic manufacturing industries are growing in Bangladesh through the last two eras. This paper might be helpful to select a new location or expansion of the existing one in Bangladesh for the plastic manufacturing company. In this study, we have taken five commercial districts as location and ten criteria for deep consideration from all promising sites of Bangladesh.For this purpose, data has collected through surveying and questionnaires. Then, the Analytic Hierarchy Process (AHP) has used to make a preference measure to select the best location for plastic manufacturing industries. From the comparison value of the composite weight, it can be found that Mongla is the best alternative location for the decision problems.
Dialogue act recognition using maximum entropy

A dialogue-based interface for information systems is considered a potentially very useful approach to information access. A key step in computer processing of natural-language dialogues is dialogue-act (DA) recognition. In this paper, we apply a feature-based classification approach for DA recognition, by using the maximum entropy (ME) method to build a classifier for labeling utterances with DA tags. The ME method has the advantage that a large number of heterogeneous features can be flexibly combined in one classifier, which can facilitate feature selection. A unique characteristic of our approach is that it does not need to model the prior probability of DAs directly, and thus avoids the use of a discourse grammar. This simplifies the implementation of the classifier and improves the efficiency of DA recognition, without sacrificing the classification accuracy. We evaluate the classifier using a large data set based on the Switchboard corpus. Encouraging performance is observed; the highest classification accuracy achieved is 75.03%. We also propose a heuristic to address the problem of sparseness of the data set. This problem has resulted in poor classification accuracies of some DA types that have very low occurrence frequencies in the data set. Preliminary evaluation shows that the method is effective in improving the macroaverage classification accuracy of the ME classifier. © 2008 Wiley Periodicals, Inc.
Optical measurement of pulp quantity in a rotating disc refiner

An optical method based on light extinction was used in measuring pulp quantity in the plate gap of a 10 MW thermomechanical pulping refiner for the first time. The relationship between pulp quantity and light extinction was determined by empirical laboratory experiments. The empirical relationship was then applied to interpret the image data obtained from field measurements. The results show the local distribution of pulp in the refiner plate gap for different rotor plate positions and refiner operation points. The maximum relative uncertainty in the measured pulp quantity was 50%. Relative pulp distributions were measured at higher accuracy. The measurements have influenced the development of a laser-based optical diagnostic method that can be applied to the quantitative visualization of technically demanding industrial processes.
A novel technique for the measurement of stress in thin metallic films

A novel interferometric method for determining mechanical stress in vacuum-deposited thin metallic layers on glass substrates is described. Stress in the glass - metal structure affects the curvature and hence the resonant frequencies of the substrate. Thus, by measuring variations of the resonant frequencies, the curvature and hence the stress can be determined. The technique of photo-thermoelastic bending has been adapted to this measurement. Measuring the variation in resonant frequency is a very sensitive method of determining the substrate curvature. Tests of the new technique using thin Cr films on glass demonstrate its effectiveness.
Exact solutions of closed string theory

We review explicitly known exact D = 4 solutions with Minkowski signature in closed bosonic string theory. Classical string solutions with spacetime interpretation are represented by conformal sigma models. Two large (intersecting) classes of solutions are described by gauged WZW models and `chiral null models' (models with conserved chiral null current). The latter class includes plane-wave-type backgrounds (admitting a covariantly constant null Killing vector) and backgrounds with two null Killing vectors (e.g. fundamental string solution). D>4 chiral null models describe some exact D = 4 solutions with electromagnetic fields, for example, extreme electric black holes, charged fundamental strings and their generalizations. In addition, there exists a class of conformal models representing axially symmetric stationary magnetic flux tube backgrounds (including, in particular, the dilatonic Melvin solution). In contrast to spherically symmetric chiral null models for which the corresponding conformal field theory is not known explicitly, the magnetic flux tube models (together with some non-semisimple WZW models) are among the first examples of solvable unitary conformal string models with non-trivial D = 4 curved spacetime interpretation. For these models one is able to express the quantum Hamiltonian in terms of free fields and to find explicitly the physical spectrum and string partition function.
Faculty Professional Development and Student Satisfaction in Online Higher Education

With the ever-increasing availability of online education opportunities, understanding the factors that influence online student satisfaction and success is vital to enable administrators to engage and retain this important stakeholder group. The purpose of this ex-post-facto, nonexperimental quantitative study was to investigate the impact of faculty professional development, faculty degree status, and faculty longevity upon online student satisfaction and success. A large, archived dataset from an online public state university was analyzed. Repeated measures Hierarchical Linear Modeling (HLM) analysis was used to explore changes in student satisfaction over time. Results showed that both training and degree were not significant predictors of student satisfaction. On the contrary, faculty longevity was found to be a predictor of student satisfaction. Recommendations for future research include incorporating qualitative analysis and expanding the study to diverse institutional types to determine whether findings are consistent.
Building Variable Productivity Ratios for Improving Large Scale Spatially Explicit Pruning Biomass Assessments

Biomass assessments of agro–residues performed at large geographical scales generally base calculations on single constant pruning productivity ratios (RSRs). Reliability of biomass assessments shall be improved if RSRs respond to prevailing regional crop growing conditions. The present paper describes the methodology applied to create geographically varying pruning RSR ratios–tons of dry matter per hectare—for five crop groups: vineyard, olive, fruit species, citrus and dry fruits. A newly created database containing 230 records–from seven EU28 countries—is submitted to statistical analysis. Results reveal that agro-climatic conditions are able to explain a not negligible share of the pruning productivity as dependent variable. Subsequent regression analysis provides two equations—for vineyard and citrus—achieving a reasonable good fitting (R2 0.18 and 0.42 respectively) between RSR and the agroclimatic variables. Analysis of olive, fruit species and dry fruits scatter and whisker plots were useful for zoning and inducing ramp functions. A Geographical Information System (GIS) was utilised to apply the functions to the agroclimatic raster coverages in order to obtain RSR raster grids. Zonal statistic procedures applied by European regional units (NUTs0, NUTs2, NUTs3) provide a specific crop RSR ratio per administrative unit as a principal output of the present work.
Stability of the inverse electromagnetic inhomogeneous medium problem

We examine the scattering of time-harmonic electromagnetic waves in an inhomogeneous medium. Given two smooth refractive indices whose difference is small with respect to a C 2 -norm, we show that the maximum norm of the difference of the refractive indices can be estimated by the difference of certain boundary operators associated with the refractive indices. Moreover, using a very strong norm on the far-field patterns, we reconstruct the boundary operators from the far-field patterns and derive continuous dependence of the refractive index on the far-field pattern.
Confidence Properties of Bayesian Interval Estimates

SUMMARY Coverage probabilities, in the confidence theory sense, of Bayes interval estimates constructed according to different criteria are examined. Suggestions are made for the choice of a prior density in the case of complete ignorance concerning the parameter under estimation. These densities are members of the family of relatively invariant densities discussed by Hartigan (1964). Confidence properties of a related family are also discussed.