Miracle-dz/UniFAR-FTUs huggingface dataset:
A fault-tolerant strategy for induction motors

Deals with the design of a nonlinear fault tolerant controller for an induction motor. We show how an indirect field oriented controller can be modified in order to compensate the side-effects arising in presence of electrical and mechanical faults and, so doing, also to detect the occurrence of the fault. To this end we follow the nonlinear regulation theory, namely we design a nonlinear controller embedding an internal model of the fault which automatically activates when spurious harmonic currents arise.
Simultaneous propagation of both bound and leaky dominant modes on conductor-backed coplanar strips

Contrary to expectations, the authors recently found that a new leaky, dominant mode may be present on conductor-backed coplanar strips at the same time as the conventional bound dominant mode. The frequency range over which both of these modes can propagate simultaneously increases as the strips become wider, and can be quite large even for fairly narrow strips. These new features, which could affect circuit performance significantly, have been derived theoretically and verified by measurements. <<ETX>>
Digital literacy: digital maturity or digital bravery?

ISSN: (Print) 1756-848X (Online) Journal homepage: https://www.tandfonline. com/loi/rhep16 Institutional strategies for supporting learners in a digital age Dr Rhona Sharpe & Dr Greg Benfield To cite this article: Dr Rhona Sharpe & Dr Greg Benfield (2012) Institutional strategies for supporting learners in a digital age, Enhancing Learning in the Social Sciences, 4:2, 1-17, DOI: 10.11120/elss.2012. 04020004 To link to this article: https://doi.org/10.11120/elss.2012. 04020004
A comparison of string kernels and discrete hidden Markov models on a Spanish digit recognition task

String kernels have been introduced recently in an attempt to apply support vector machine (svm) classifiers to variable-length sequential data from a discrete alphabet. They have been used in the areas of text classification and bioinformatics, where notable results have been obtained. In the present paper string kernels are applied to a Spanish digit recognition task and their performance is compared to that of discrete hidden Markov models (dhmm). It is found that string kernels produce comparable results and may offer an alternative discriminative approach for certain speech recognition tasks.
Inverted reporting verbs in the sentence-initial position in English: Focus on phrasal verbs*

This paper examines several properties of quotative inversion in English, restricting reporting verbs to phrasal verbs. Contrary to the observations of a number of previous studies, data collected from natural occurrences show that subject-verb inversion in reporting clauses applies to phrasal verbs. In this paper, two points of investigation are identified by reviewing the literature on quotative inversion in the initial position: the validity of the relationships (i) between quotative inversion in the initial position and Time magazine writing style, or ‘Timestyle’ (Ikeda 1992: 270, 390), and (ii) between quotative inversion and the discourse status (newness) and structural complexity (heaviness) of postverbal noun phrases. The relationship between quotative inversion in the initial position and Time writing style is then verified using the Time Magazine Corpus. The verb-subject order in reporting clauses that use phrasal verbs with in, out, and up is also shown to be compatible with the principles of information flow and end-weight. Finally, this paper suggests three possible functions of quotative inversion in the initial position: “discourse function”, “summing-up function”, and “dialogic function”.
Extending the notion of ‘text’: the visual and performing arts doctoral thesis

Doctoral writing in the visual and performing arts poses many challenges for the academy, not the least of which is accounting for the possible relations which can hold between the written and creative/performed components of a doctoral thesis in these fields. This article proposes that the interrelations between the two components in doctoral submissions of this kind can be theorized as being on a continuum of interrelations, with a number of key text types (or archetypes) being manifested. Through textual analysis of the written component only, the different possible relations can be distinguished through the ways in which the creative component is resemiotized in the written text, through both the verbal and visual semiosis of the written component. This enables us to identify a number of ways in which the ‘one’ project can be construed through its two different component parts, casting an important light on debates within the field in terms of the relations between creative practice and research.
Anonymization of Centralized and Distributed Social Networks by Sequential Clustering

Knowledge engineers interpret and organize information on how to make systems decisions. The social media has grown very vastly in the earlier years known think for all. There are different social media sites like Face book, Twitter, LinkedIn, Google+ and many more that holds public and confidential/ personal informa tion about their users.we work the problem of privacypreservation in social networks. We consider the distributed setting in which the network data is split between several data holders. The goal is to arrive at an anonymized view of the unified network without revealing to any of the data holders information about links between nodes that are controlled by other data holders. To that end, we start with the centralized setting and offer two variants of an anonymization algorithm which is based on sequential clustering. Our algorithms significantly outperform the SaNGreeA algorithm due to Campan and Truta which is the leading algorithm for achieving anonymity in networks by means of clustering. We then devise secure distributed versions of our algorithms. To the best of our knowledge, this is the first study of privacy preservation in distributed social networks. We conclude by outlining future research proposals in that direction.
Optimal Broadcast in All-Port Wormhole-Routed Hypercubes

We give an optimal algorithm that broadcasts on an n-dimensional hypercube in Theta(n/ log_{2}(n+ 1)) routing steps with wormhole, e-cube routing and all-port communication. Previously, the best algorithm of McKinley and Trefftz requires [n/2] routing steps. We also give routing algorithms that achieve tight time bounds for n leqslant 7.
Context-aware computing applications

Describes systems that examine and react to an individual's changing context. Such systems can promote and mediate people's interactions with devices, computers and other people, and they can help navigate unfamiliar places. We believe that a limited amount of information covering a person's proximate environment is most important for this form of computing, since the interesting part of the world around us is what we can see, hear and touch. In this paper, we define context-aware computing and describe four categories of context-aware applications: proximate selection, automatic contextual reconfiguration, contextual information and commands, and content-triggered actions. Instances of these application types have been prototyped on the PARCTAB, a wireless palm-sized computer.
Confidence Interval or P-Value?

SUMMARY Background: An understanding of p-values and confidence intervals is necessary for the evaluation of scientific articles. This article will inform the reader of the meaning and interpretation of these two statistical concepts. Methods: The uses of these two statistical concepts and the differences between them are discussed on the basis of a selective literature search concerning the methods employed in scientific articles. Results/Conclusions: P-values in scientific studies are used to determine whether a null hypothesis formulated before the performance of the study is to be accepted or rejected. In exploratory studies, p-values enable the recognition of any statistically noteworthy findings. Confidence intervals provide information about a range in which the true value lies with a certain degree of probability, as well as about the direction and strength of the demonstrated effect. This enables conclusions to be drawn about the statistical plausibility and clinical relevance of the study findings. It is often useful for both statistical measures to be reported in scientific articles, because they provide complementary types of information. Dtsch Arztebl Int 2009; 106(19): 335–9 DOI: 10.3238/arztebl.2009. 0335
Electromechanical modelling and active control of flexural rotor vibration in cage rotor electrical machines

The main objective of this thesis is to develop new tools for model-based control of flexural rotor vibration in cage induction machines. In order to exert the control force on the rotor, a built-in force actuator based on self-bearing principle is considered. A low-order parametric electromechanical model coupling the eccentric-rotor machine, the actuator and rotor-dynamics is developed. Furthermore, numerical analysis of the actuator-rotor system is considered. The numerical analysis is based on time-discretised finite element analysis of the electromagnetic fields in the two-dimensional cross-section of the machine. The finite element analysis is used to estimate the parameters of the low-order model. The numerical analysis provides a tool for both designing the actuator and testing the control algorithms. In the thesis, a control algorithm, previously used mainly in active magnetic bearings for compensation of harmonic disturbance forces, is applied by using the built-in force actuator. In the simulations, the control algorithm is embedded in the numerical analysis. The modelling and model-based control are verified by experiments. A 30 kW two-pole cage induction motor with an extended rotor shaft is used for measurements. The results both from simulations and experiments show that, by using the built-in force actuator, the model-based controller is suitable for flexural rotor vibration suppression in a cage induction machine. In particular, the stable operation at the critical speed of the machine can be achieved by using the methodology presented in this research.
Sliding mode method based vibration control of flexible arms

In this paper, we consider the vibration suppression control of flexible arms by using the sliding mode method. Higher order modes of the flexible arm are treated as disturbances, and are compensated by introducing a special filter. The remaining disturbance and model uncertainties are considered as the system uncertainty. The robustness of the sliding mode control is effectively employed to cope with the system uncertainty, where the upper and lower bounds of the uncertainty are adaptively updated. The stability of the closed-loop system is analyzed by using the fact that a part of the control input is the approximate estimate of the uncertainty. Experimental results show the robustness and superiority of the proposed method.
A new calibration technique for microwave moisture sensors

A new calibration technique was developed for implementation in microwave moisture sensors. The calibration permittivity function used for this purpose allows computation of moisture content in granular materials with significant differences in shape, dimensions and composition independent of bulk density and with temperature compensation. A three-dimensional representation is used to plot the calibration permittivity function as it depends on temperature and moisture content in wheat and corn. For each material, data points form a surface that is a plane. These planes have nearly the same coefficients which can be utilized for the development of a "universal" calibration method for moisture sensing in natural and manufactured granular materials. Foundations of the method are discussed, based on results obtained for wheat and corn over a wide temperature range and at moisture contents of practical interest.
Effective fairness queuing algorithms

In this paper we present two effective fair queuing algorithms (EFQs), which achieves fairness properties and delay properties similar to WFQ (which is currently the better scheduling algorithm among others), and uses a system potential function of O(l) complexity. In EFQs, computation of system potential function does not require any division or multiplication operations such as in minimum delay-self clocked fair queuing (MD-SCFQ). Compared to MD-SCFQ, EFQs have lower complexity and can be easily implemented on chips. We verify the effectiveness of the proposed EFQs through theoretical analysis and give some simulation results.
Multi-sensor data fusion using Bayesian programming: An automotive application

A prerequisite to the design of future advanced driver assistance systems for cars is a sensing system providing all the information required for high-level driving assistance tasks. Carsense is a European project whose pur pose is to develop such a new sensing system. It will combine different sensors (laser, radar and video) and will rely on the fusion of the information coming from these sensors in order to achieve better accuracy, robustness and an increase of the information content. This paper demonstrates the interest of using probabilistic reasoning techniques to address this challenging multi-sensor data fusion problem. The approach used is called Bayesian Programming. It is a general approach based on an implementation of the Bayesian theory. It was introduced first to design robot control programs but its scope of application is much broader and it can be used whenever one has to deal with problems involving uncertain or incomplete knowledge.
A New Digital Recursive Filter Structure With Low Roundoff Noise And Low Limit Cycle Oscillations*

Conventional digital filters, in which signal samples and filter coefficients are represented by 8- to 16-bit words, have some disadvantages for VLSI implementation due to the high hardware complexity of multibit multipliers. Incremental digital filters, based on delta modulation (DM) encoding, have emerged as a promising alternative to the conventional approach, because highly modular 'multiplier-free' structures can be built using incremental methods. We propose a new multiplier- free biquad filter structure suitable for VLSI implementation with low roundoff noise and low limit cycle oscillations.
Computation of time-optimal trajectories for tower cranes

A mathematical model for tower cranes is derived and computation of their optimal trajectories under control and state constraints is undertaken. Large load swings are observed in the simulation of time-optimal trajectories for the actual plant. A sub-optimal control is then proposed to keep the load swings small. Simulation of a typical case is included.
Graded effects of pulsed electric fields on contractility of single heart cells

The effects of high-intensity electric fields on excitability and contractility of the heart at the cellular level are pertinent to defibrillation and electrical ablation. Stimulation of single cardiac cells with a rectangular pulsed electric field elicits twitch contraction. Variation of the stimulus intensity and duration shows a distinct strength-duration curve for the threshold of excitation, T1. T1 is mediated by the cell orientation with respect to the electric field (parallel or perpendicular). Above the threshold level is a second threshold level, T2, for cellular contracture. T2 has a shape similar to that of T1, and may be a consequence of formation of pores in the cell membrane (electroporation). <<ETX>>
Spectral dynamics is more important than spectral distortion

Linear prediction coefficients are used to describe the power-spectrum envelope in the majority of low-bit-rate coders. The performance of quantizers for the linear-prediction coefficients is generally evaluated in terms of spectral distortion. This paper shows that the audible distortion in low-bit-rate coders is often more a function of the dynamics of the power-spectrum envelope than of the spectral distortion as usually evaluated. Smoothing the evolution of the power-spectrum envelope over time increases the reconstructed speech quality. A reasonable objective is to find the smoothest path that keeps the quantized parameters within the Voronoi regions associated with the transmitted quantization index. We demonstrate increased quantizer performance by such smoothing of the line-spectral frequencies.
An Integrated System of Optical Metrology for Deep Sub-Micron Lithography

An Integrated System of Optical Metrology for Deep Sub-Micron Lithography by XinhuiNiu Doctor of Philosophy in Engineering Electrical Engineering and Computer Sciences University of Califomia, Berkeley Professor Costas J. Spanos, Chair The exponential increase of integrated circuit density and semiconductor manufacturing cost can be described by Moore*s Law. In order to provide affordable lithography at and below lOOnm, in-situ and in-line metrology must be used with off-line metrology for advanced process control and rapidyield learning. This thesis develops an optical metrol ogy system for both unpattemed and pattemed wafers in the deep sub-micron lithography processes. Forunpattemed wafers, themost important observables formetrology arethethickness and the optical properties n and k of the related thin-films. In this thesis, dispersion models derived from the Kramers-Kronig relations are used with a simulated annealing optimiza tion procedure. Simulated annealing algorithms designed for continuous variables are implemented. Spectroscopic reflectometry and spectroscopic ellipsometry are used tochar acterize bothsolidsandpolymers. A statistical enhancement strategy is proposed basedon computational experimental design and Bayesian variable screening techniques to over comethelargemetrology dimension problem. A bootstrap method is introduced for testing theaccuracy of thecharacterization. Accurate information about theoptical properties and thickness is essential to many processcontrolapplications, and is the foundation to the suc cess of metrology for pattemed wafers. For pattemed wafers, the most important observables are the profiles of the pattemed fea tures. Profile information is critical in understanding the nature of the lithography process. However, it has been difficult to use because of the metrology cost. To solve this problem, this thesis introduces the concept of specular spectroscopic scatterometry. Specular spectroscopic scatterometry uses conventional spectroscopic ellipsometers to extract the pro files of 1-D gratings. Based on a rigorous electromagnetic diffraction theory, the Grating Tool-Kit {gtk) is developed to predict the behavior of a wide variety of diffraction gratings with high precision. A library-based CD profile extraction methodology is presented and validated with a focus-exposure matrix experiment. It is shown that specular spectroscopic scatterometry is an accurate, inexpensive and non-destructive CD profile metrology. The theme of this thesis is that, through the aid of computation and intelligent metrology, more process information can be extracted from existing sensors, and the complexity of expensive hardware can be shifted to sophisticated data analysis. It is expected that the pro posed metrology system will help the process control applications for the entire lithography sequence. Professor C. J. Spanos Committee Chairman
Basics of color based computer vision implemented in Matlab

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Gender Differences on Information Literacy of Science and Engineering Undergraduates

Information literacy (IL) forms the basis of lifelong learning and plays very important role for students majoring in science and engineering. As far as higher education concerned, gender differences to may influence students’ academic achievements. In order to evaluate the gender differences on information literacy of undergraduates, we surveyed certain undergraduates using self-made questionnaire. The data of the survey was analyzed by SPSS. The findings of the study indicate that the gap of gender difference does exist in the sphere of information literacy. The result of t-test for two groups of male and female students shows significant difference in terms of mean scores obtained in information consciousness, information competency and information ethics tests.
On-line schema update for a telecom database

Telecom databases need very high availability for both read and write transactions. Thus it is desired that not even schema changes are allowed to block any type of transactions. We show in this paper a method to handle schema changes which is based on a transaction oriented change with the aid of triggers. The old and the new schema can be used concurrently so it is never necessary to block any transactions. A nice feature of the method presented in this paper is that it is easy to integrate into an already existing DBMS. This functionality is rarely, if ever, found in neither products nor research articles.
Low observable target motion analysis using amplitude information

In conventional passive and active sonar systems, target amplitude information (AI) at the output of the signal processor is used only to declare detections and provide measurements. The authors show that the AI can be used in passive sonar systems, with or without frequency measurements, in the estimation process itself to enhance the performance in the presence of clutter, i.e., in a low SNR situation, when the target-originated measurements cannot be identified with certainty. A probabilistic data association based maximum likelihood estimator for target motion analysis that uses amplitude information is derived. A track formation algorithm and the Cramer-Rao lower bound in the presence of false measurements, which is met by the estimator even under low SNR conditions, are also given. Results demonstrate improved accuracy and superior global convergence when compared to the estimator without amplitude information.
B2C Mass Customization in the Classroom

The purpose of this article is to describe an internet-based mass customization assignment in Operations Management/Supply Chain Management classes where students utilize the Web site of a company that offers a customized product. Students evaluate the user interface, judge the value proposition of the product they demonstrate, and discuss issues of product design, process design and scheduling, inventory management, Supply Chain Management, marketing, and competitors. The students learn about mass customization from both the producer’s perspective and the consumer’s perspective. Through their own research and the class presentations students are able to develop a better understanding of the implementation requirements and challenges of mass customization. The assignment is highly interactive and has been successfully used in Operations Management and Supply Chain Management courses at under-graduate and graduate levels and at multiple universities. In addition, practitioners interested in implementing a mass customization process can use the assignment as a brainstorming or benchmarking exercise.