Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Low-speed Control of Permanent Magnet Synchronous Motors

Abstract Most servo control systems generally adopt incremental optical encoders for speed detection when considering cost and performance requirements. For a fixed sampling period, this kind of encoder along with the generally used so-called M method, may degrade the response or even cause the system to become unstable in a low-speed operating region because of the resulting speed detection delay. In this article, a reference model improves low-speed responses; parameter identification by recursive least square error algorithm overcomes the problem of parameter variations and an adaptive proportional-integral control strategy based on the parameter identification results further justifies the proposed method. A digital signal processor based permanent magnet synchronous motor drive will be used to carry out the experimental results, which show the effectiveness of the proposed method.
Surrogate-assisted coevolutionary search

This paper is concerned with an experimental evaluation of coevolutionary optimization techniques, which are integrated with surrogate models of the fitness function. The motivation for this study arises from the fact that since coevolutionary search is based on the divide-and-conquer paradigm, it may be possible to circumvent the curse of dimensionality inherent in surrogate modeling techniques such as radial basis networks. We investigate the applicability of the algorithms presented in this paper to solve computationally expensive optimization problems on a limited computational budget via studies on a benchmark test function and a real world two-dimensional cantilevered space structure design problem. We show that by employing approximate models for the fitness, it becomes possible to converge to good solutions even for functions with a high degree of epistasis.
Point Cloud Registrational Computing Based on Hadoop

For the problem of huge computation and requiring high computing resource in point cloud registration, according to the theory of parallel computing, the algorithm of point cloud registration base on MapReduce is designed. Through building a Hadoop cluster consisted by average PCs, four examples have been tested. The experiment results show that point cloud registration algorithm based on MapReduce can register point cloud data with high accuracy.
Bringing Reality to “Real Options”: An Experiential Exercise

Issues surrounding the contextual environment in which strategic decisions are made are difficult concepts to grasp, particularly for undergraduate students with little business experience. They are also problematic for graduate students that have not been called on to make such decisions within their career. The authors propose an exercise that blends many elements of decision making under uncertainty and risk. Students are placed in an environment in which their own choice may differ from that of the team, but in which the team's performance will have explicit implications on their individual performance and rewards. The exercise incorporates team dynamics and problem-solving capabilities in a temporally and competitively constrained environment.
VASD: Video Action Scene Detector Using Audio Visual Data

This paper presents a method which able to integrate audio and visual information for human action scene analysis. The approach is top-down for determining and extracting action scenes in video by analyzing both audio and video data. We proposed a framework for recognizing actions by measuring image and action-based information from video with the following characteristics: feature extraction is done automatically; the method deals with both visual and auditory information, and captures both spatial and temporal characteristics; and the extracted features are natural, in the sense that they are closely related to the human perceptual processing. Our effort was to implementing idea of action identification by extracting syntactic properties of a video such as edge feature extraction, colour distribution, audio and motion vectors. In this paper, we present a simple method for human activity recognition based on a Hidden Markov models (HMMs) for sensing, learning and training the actions. In addition, we used audio visual features to distinguish the human actions and to reach a decision. We describe the use of the model that diagnoses states of a human activity based on events from video. We reviewed the model, present an implementation, and report on experiments to demonstrate the robustness of the framework.
Lifecycle of a probabilistic construction

A comprehensive theory of language must be evaluated not just as a system of representing linguistic knowledge, but as an account of how humans acquire and process this knowledge. Yet it is prevalent in the tradition of theoretical linguistics to ignore the learning process and focus on the end product. Müller and Wechsler (henceforth M&W) correctly remark that the construction-based view is often affiliated with usage-based theories of human language, and strongly motivated by observational and experimental findings on child language acquisition. But M&W’s review of the psycholinguistic evidence on human language acquisition and use is limited to isolated cases and does not depict a complete picture. It is critical to assess the descriptive power of lexical vs. construction-based approaches for humans’ behavioural patterns in various language tasks. It is often difficult to evaluate the concrete predictions of a linguistic theory, since many details about the representational framework and the learning and processing mechanisms are inevitably left out or underspecified. The theoretical literature on constructionist approaches offers a variety of strategies for acquiring and applying constructions, but few provide a detailed account of a fully worked out process. Many of the criticisms raised by M&W are due to this vagueness which leads to a lack of understanding of how a fully constructional approach works in practice. Recent attempts at modelling constructions in a computational framework can help this discussion. Computational models are often simplistic in the range of linguistic phenomena they investigate, but they provide insight into the lifecycle of a construction from the moment of emergence into maturation, and how it is used in various language comprehension and production tasks. In this way, computational models allow us to simulate realistic scenarios and make concrete predictions about linguistic behaviour of language users according to a specific theory. Moreover, they can propose alternative interpretations of the theoretical devices.
Multi-layer feed-forward modular network for induction motor

Multilayer feed-forward (MLFF) network has been implemented in various fields of engineering applications. A multilayer feed-forward modular (MLFFM) network has been developed for better performance of feed-forward neural networks. The MLFFM network has been implemented in an induction motor application and the results have been compared with a MLFF network.
Mutual Information Of Images: A New Approach To Pyramidal Image Analysis

The similarity measure is defined as the amount of information necessary to transform one image into another. Application of this measure between pyramid elements reveals that significant data-compression, subject to controllable error, can be achieved by saving only the necessary information to pass from the lower-resolution image to its higher-resolution version. Further, this data can be estimated without any side information to obtain a super-resolution effect in images.
Re-coloring Methods using the HSV Color Space for people with the Red-green Color Vision Deficiency

This paper proposes a new re-coloring method for the people with the red-green color vision deficiency (CVD). These people have difficulty in discriminating the red and green colors since they abnormally perceive the hue and luminance value of the colors. We introduce a color transformation that adjusts the hue and luminance value in HSV color space. The color transformation is determined according to the severity of CVD. Our aim is to maintain the color differences in original image while maintaining the recolored image to be natural to the people with normal color vision. Experimental results show that the proposed method can yield more comprehensible images for the people with red-green CVD while maintaining the naturalness of the recolored images.
Cartesian feedback amplifier with soft landing

The author describe the results of several experiments conducted on a Cartesian feedback amplifier with soft landing. This amplifier uses a new method for adaptively controlling the local signal phase in a Cartesian demodulator. They tested the soft-landing Cartesian feedback (SLCFB) method in the 900 MHz band using pi /4-shifted QPSK modulation to determine its applicability for pocket terminals in Japanese digital cellular systems. They developed a smooth loop-gain control mechanism using a variable gain amplifier with an FET and a continuous phase-shifter control circuit for digital processing in the IF band. They showed that the SL-CFB method can maintain the optimum local signal phase in the demodulator. This method therefore solves the problem at applying CFB amplifiers. They adopted circuit configurations that are easy to incorporate into LSI chips so that the amplifier can be used in compact terminals. The results show that the SL-CFB amplifier is a promising candidate for developing highly efficient linear amplifiers, which are very important in digital cellular telephone terminals. <<ETX>>
Avaliação da rede de centros de atenção psicossocial: entre a saúde coletiva e a saúde mental

OBJETIVO: Avaliar os modelos assistenciais, de gestao e de formacao de trabalhadores de uma rede centros de atencao psicossocial (CAPS). METODOS: Pesquisa avaliativa qualitativa, sustentada pela hermeneutica gadameriana, realizada na cidade de Campinas (SP), em 2006-2007. Os dados foram coletados por meio de 20 grupos focais, em CAPS III, realizados com diferentes grupos de interesse (trabalhadores, gestores municipais, usuarios, familiares e gestores locais). Apos a transcricao do material gravado de cada grupo, foram construidas narrativas, seguindo o referencial teorico de Ricoeur. Na segunda etapa de grupos focais essas narrativas foram apresentadas aos participantes para contesta-las, corrigi-las e valida-las. Os resultados preliminares foram discutidos em oficinas para elaboracao de um guia de boas praticas em CAPS III. RESULTADOS: Foram identificados pontos fortes e fragilidades no que concerne a atencao a crise, articulacao com a rede basica, formulacao de projetos terapeuticos, gestao e organizacao em equipes de referencia, formacao educacional e sofrimento psiquico. CONCLUSOES: A rede de centros de atencao psicossocial em Campinas destaca-se pela sua originalidade na implantacao de seis CAPS III , e pela sua eficacia na continencia com usuarios e familiares no momento da crise e na reabilitacao. A organizacao por tecnico e/ou equipe de referencia prevalece, assim como a construcao de projetos terapeuticos. A reducao das equipes noturnas desponta como principal problema e fonte de estresse para os trabalhadores. A formacao dos profissionais se mostrou insuficiente para os desafios enfrentados por esses servicos.
Multiple products of B-splines used in CAD system

Abstract The function upgrade of computer aided design(CAD) system requested that the multiple product of B-spline functions should be represented as a linear combination of some suitable (usually higher-degree)B-splines.In this paper , we apply the theory of spline space and discrete B-splines to deduce the representation of the coefficients of all terms of the linear combination ,which can be directly applied to software coding in system development. *Supported by the Major State Basic Research Development Program of China (Grant No. 2004CB719400) and National Natural Science Foundation of China (Grant Nos. 60373033, 60333010, 60021201)
The WEBNAS Analysis Method: A Holistic Approach to the Analysis of Web Navigating and Searching Behavior

As progressively more information and everyday tasks move to the domain of the Web, it is increasingly important to understand how users navigate and search in a Web environment. Whereas numerous studies have focused on specific questions and methods in analyzing selective aspects of this behavior, few have employed an integrative approach, taking multiple factors into account simultaneously. The Web Navigation and Searching (WEBNAS) analysis method presented here is a further step toward such a holistic understanding and analysis. Considering Web navigation and searching behavior as a succession of decision situations, WEBNAS represents a methodological toolkit for a quasi-experimental design, consisting of modular elements that can be combined and adjusted in response to any specific research question. Data are collected via Webcam recordings of users' comments (think-aloud technique), gestures, postures, and facial expressions, screen-cam recordings of the computer interface, and online questionnaires. Additional suggestions for analysis are given. Finally, the first applications of the method are described and potential future uses discussed.
A visuomotor control architecture for high-speed grasping

A hierarchical control architecture is proposed on the basis of an interaction model between efferent and afferent information in brain motor control. The model has five levels: motoneurons, premotor interneurons, pattern generator, parameter selection and action planning. The effectors including biophysical properties receive the commands from motoneurons. In the proposed architecture, the premotor interneurons and motoneurons are implemented as a servo module; the pattern generator corresponds to the motion planner; and the parameter selection is realized by adaptation module. The afferent information is the feedback signal and the efferent information corresponds motion command and parameter adaptation. Grasping and handling of a dynamically moving object are implemented on a DSP network with a high-speed vision, a dextrous hand and a 7 DOF manipulator. The results show responsive and flexible actions that exhibit the effectiveness of the proposed hierarchical modular structure.
Toru Takemitsu’s November Steps

In November Steps (1967), biwa and shakuhachi are included as soloists along with an orchestra of Western instruments. The juxtaposition of these two groupings of performers from different traditions serves to emphasise disparities between their two aesthetics and challenges the composer who, from the Western perspective, seeks to create from these elements a coherent whole. Takemitsu’s strategies both for emphasising difference and for creating cohesion offer insights relevant to themes of human supervision and control.
Range extension of the PMD sensor with regard to applications in space

Abstract Modern active 3D-cameras open exciting opportunities for real-time distance measurements and obstacle avoidance in robotics. Here a challenging space technology problem related to rendezvous of a spacecraft with an non-cooperative target is supported by a Photonic Mixer Device (PMD) sensor. A key aspect is here the extension of the limited measurement range related to this sensor technology. Earlier approaches relied on phase jumps in the image to recover the true distance from the interferometric measurement bias. For space applications it is important to elaborate alternative approaches, as there is no contiguous distance span available. The range extension of the PMD sensor presented is a part of a model-based uncooperative object tracker. Thus performance characterisations for object tracking test results are provided, as well as perspectives for further application potential of the PMD sensor.
Animated Agents Teaching Helping Skills in an Online Environment: A Pilot Study

Human service educators constantly struggle with how to best teach students the communication skills required of entry-level human service professionals. While teaching such skills is easier in a traditional face-to-face environment, teaching communication skills via distance learning presents its own challenges. Developing interactive web-based learning environments to teach helping skills may solve this dilemma. This article describes a pilot study of three web-based environments. The interactive environment assigns learners to serve as helpers while an animated agent portrays a client. A modeling environment has participants observing a clienthelper interaction between two agents. The helper-client script environment presents a textbased script. Data collected to assess skill acquisition and usability indicate improvement in skills and positive user perceptions in all three environments.
Developing intelligent control from a biological perspective to examine paradigms for activation utilizing pneumatic muscle actuators

Intelligent control of a pair of actuating muscles is synthesized from a biological paradigm of controlling these muscles (agonistic and antagonist) as they work in conjunction to provide actuation to a system (exoskeleton for a human). An investigation of muscle dynamics in humans and other animals is first conducted. Using the analogies from living muscle action, a paradigm is described on how to control such a system from an energy perspective subject to the biological constraints induced via the muscle dynamics. A discussion on the use of pneumatic muscle technology to power an exoskeleton suit is then presented.
Feature tracking using vision on an autonomous airplane

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Low power multiplication scheme for FIR filter implementation on single multiplier CMOS DSP processors

A new multiplication scheme is proposed, for application to single multiplier CMOS based DSP processors, for the implementation of low-power digital FIR filters through the reduction of switching activity within the multiplier section of the filter. The scheme operates in conjunction with a transpose direct form FIR filter structure and a modified DSP processor architecture, through a significant reduction in power can be obtained by using algorithms to order the filter coefficients. This reduction is demonstrated using two basic examples, with different wordlengths and filter orders, achieving up to 63% reduction in switching activity.
From Teacher Professional Development to the Classroom: How NLP Technology Can Enhance Teachers' Linguistic Awareness to Support Curriculum Development for English Language Learners

This article reports on two studies using Language MuseSM (LM), a web-based, teacher professional development (TPD) application designed to enhance teachers' linguistic awareness and to support teachers in the development of language-based instructional scaffolding for English language learners (ELL). In Study 1, in-service teachers enrolled in certification courses learned how to use the natural language processing (NLP) component of LM to support their knowledge, awareness, practice, and application in designing instruction to ELLs. Measurement outcomes from the TPD study indicated that productive use of linguistic feedback in Language Muse led to some increases in teachers' linguistic knowledge and awareness, and in their ability to develop appropriate language-based instruction for ELLs. In Study 2, a school-based study was conducted to evaluate the feasibility of implementing LM in authentic settings. Outcomes from the study demonstrate the feasibility of implementing the Language Muse program in applied school and classroom contexts.
MUBIL: Creating a 3D Experience of “Reading Books” in a Virtual Library Laboratory

Mubil, is a 3D laboratory established in 2012 by the University Library of the Norwegian University of Science and Technology in Trondheim (NTNU UB) in collaboration with the Percro lab of the University of Santa Anna in Pisa. The project focused first at the development of a consistent methodology for the use of Virtual Environments as a metaphor to present manuscripts and books. Then the project team developed a 3D game with context from the particular books and invited school classes to test it. Two school classes participated in our workshops and interacted with the 3D products in our 3D lab. The activity was organized as a field trip in collaboration with the subject teachers. The students worked in groups and they were observed, filmed and answered survey questions. A focus group was selected and interviewed. The present study has been using qualitative analysis to examine the user behavior and performance in such an environment. We present here the applications and some preliminary results of user .
Patterns: a way to reuse expertise

There has been a sense in the software engineering community that we are continually reinventing the wheel. This phenomenon can be clearly seen in any large company; where projects go their own way, solving problems that are similar or identical to problems being solved by other projects, sometimes down adjacent corridors in the same building. It is easy to point at a lack of communication and the classic "not invented here" syndrome, but the fact is, there hasn't been an appropriate communication medium for transferring knowledge. The widely applied code libraries did not even begin to tackle this problem. The notion of a pattern is based on the work of building architect Christopher Alexander (1978), who captured solutions to recurring problems. When expertise is captured and shared with others, it also brings improved communication through a well defined vocabulary of pattern names that reflect the successful solutions. There is a significant effort in the software community to apply this idea to problems and solutions in software development. Patterns provide a way to reuse expertise that can be used across domains at all levels of development.
Computer learning and risk assessment in child protection

The volume and complexity of information in child protection cases means that there can be an overwhelming number of factors which seem pertinent to decision-making but which obscure any pattern within it. This paper examines the applicability of a technique known as computer learning to the area of risk assessment in order to extract any underlying patterns. The paper proposes first that there are a few key interrelated, broad-level concepts used to assess and thereby classify risk. These can be used as the basis for producing a set of rules under which a social work team operates. The classification of risk made by one social work team on 20 child protection cases was analysed to find underlying patterns of their decision-making. These patterns are presented in the form of ‘decision trees’, as a way of illustrating the group's past experience in assessing risk. The results are evaluated in terms of the complexity and plausibility of the decision tree produced. © 1998 John Wiley & Sons, Ltd.