Miracle-dz/UniFAR-FTUs huggingface dataset:
The Mental Corpus: How Language is Represented in the Mind

1. Conceptualizing Language 2. The Dictionary and the Grammar Book: The generative model of linguistic knowledge 3. Three Words and Their Behaviour 4. Idioms 5. Speaking Idiomatically 6. Constructions 7. Frequency 8. Skewed Frequencies as a Design Feature of Language 9. Learning From Input 10. Polysemy 11. Creativity and Innovation 12. Blending 13. The Mental Corpus References Subject Index Index of Names
A multichannel telemetry system for monitoring physiological information from the human gait: preliminary results

Because gait analysis is a useful tool in the evaluation of rehabilitation treatment, it is necessary to monitor patients' physiological signals without limiting their movements. In this paper, we describe a biotelemetry system for real time multichannel monitoring of two channels surface electromyography (SEMG), an electrocardiography (ECG) derivation and eight digital signals coming from footswitches to determine the stance and swing gait periods. The system is aimed at being used during electrically assisted walking. The signals picked up by surface electrodes are amplified, filtered and frequency limited in each channel. A transmission block is formed by a microcontrolled system which processes, codes and sends the signals to a radio frequency (RF) transceiver. This device transmits the signals multiplexed in time to another transceiver which receives the signals and transfers them to a second microcontrolled system. The latter decodes and sends the signals through a bidirectional parallel port to a computer where they are visualized and stored. Simulated signals could be observed in real time on the computer screen. The system fulfilled design specifications. We plan to evaluate it in humans and at bigger distances.
Barat - a front end for java

This paper presents a front-end for Java, called Barat, that supports static analysis of Java programs. Barat builds a complete abstract syntax tree from Java source code files, enriched with name and type analysis information. It supports the complete Java language as of version 1.1. Barat is structured as a framework that supports traversals of abstract syntax trees using visitors and attributes, and provides additional features such as parsing comments as tags, access to parent nodes in the abstract syntax tree, and re-generation of source code. For users of Barat, there is no explicit distinction between phases of loading, parsing, and analyzing Java source code: All actions that need to be performed for building the AST of a Java program are transparent to clients of Barat and are triggered on demand. Freie Universitat Berlin Institut fur Informatik Takustrasse 9 D-14195 Berlin Germany
3DSSE – A 3D Scene Search Engine Exploring 3D Scenes Using Keywords

The evolution of real time 3D graphics technologies in combination with high bandwidth Internet connections and modern Web browsers enable users to explore complex 3D scenes. As a rule, a virtual visitor has to manually explore the geometrically complex 3D model in order to discover points of interest. This manual exploration is a time consuming process that, in some cases, can be assisted by sets of predefined points of interest. In this paper, we propose the annotation of 3D scenes in order to equip the user with a text based 3D scene search engine. The search engine provides a query mechanism that unburdens the user from the time consuming process of manually exploring vast 3D scenes. It responds to queries by exploiting the metadata of each 3D model and returns textual and visual information along with a group of links that correspond to relative points of interest within the 3D scene. The search engine allows the virtual visitor to automatically be transferred to a specific point of interest. We have built a Web accessible prototype system that is able to handle queries related to historical data, topological relationships and architectural properties of buildings. A number of 3D reconstructions covering urban areas of cultural importance located in Northern Greece have been annotated and used in the search engine as case studies. The prototype system is based on open source technologies and on a hybrid metadata schema that is derived from the MIDAS Heritage and MACE schemas.
Web Privacy with P3p

Foreword Preface Part I. Privacy and P3P 1. Introduction to P3P How P3P Works P3P-Enabling a Web Site Why Web Sites Adopt P3P 2. The Online Privacy Landscape Online Privacy Concerns Fair Information Practice Principles Privacy Laws Privacy Seals Chief Privacy Officers Privacy-Related Organizations 3. Privacy Technology Encryption Tools Anonymity and Pseudonymity Tools Filters Identity-Management Tools Other Tools 4. P3P History The Origin of the Idea The Internet Privacy Working Group W3C Launches the P3P Project The Evolving P3P Specification The Patent Issue Feedback from Europe Finishing the Specification Legal Implications Criticism Part II. P3P-Enabling Your Web Site 5. Overview and Options P3P-Enabled Web Site Components P3P Deployment Steps Creating a Privacy Policy Analyzing the Use of Cookies and Third-Party Content One Policy or Many? Generating a P3P Policy and Policy Reference File Helping User Agents Find Your Policy Reference File Combination Files Compact Policies The Safe Zone Testing Your Web Site 6. P3P Policy Syntax XML Syntax General Assertions Data-Specific Assertions The P3P Extension Mechanism The Policy File 7. Creating P3P Policies Gathering Information About Your Site's Data Practices Turning the Information You Gathered into a P3P Policy Writing a Compact Policy Avoiding Common Pitfalls 8. Creating and Referencing Policy Reference Files Creating a Policy Reference File Referencing a Policy Reference File P3P Policies in Policy Reference Files Changing Your P3P Policy or Policy Reference File Avoiding Common Pitfalls 9. Data Schemas Sets, Elements, and Structures Fixed and Variable Categories P3P Base Data Schema Writing a P3P Data Schema 10. P3P-Enabled Web Site Examples Simple Sites Third-Party Agents Third Parties with Their Own Policies Examples From Real Web Sites Part III. P3P Software and Design 11. P3P Vocabulary Design Issues Rating Systems and Vocabularies P3P Vocabulary Terms What's Not in the P3P Vocabulary 12. P3P User Agents and Other Tools P3P User Agents Other Types of P3P Tools P3P Specification Compliance Requirements 13. A P3P Preference Exchange Language (APPEL) APPEL Goals APPEL Evaluator Engines Writing APPEL Rule Sets Processing APPEL Rules Other Privacy Preference Languages 14. User Interface Case Studies Privacy Preference Settings User Agent Behavior Accessibility Privacy Part IV. Appendixes A. P3P Policy and Policy Reference File Syntax Quick Reference B. Configuring Web Servers to Include P3P Headers C. P3P in IE6 D. How to Create a Customized Privacy Import File for IE6 E. P3P Guiding Principles Index
Model of tilt sensor system

This paper describes the structural concept of an intelligent sensor system for tilt measurement. The accelerometer principle is used for the measurement. The system enables measurement in both axes of the plane. Measurement is controlled by a microprocessor. Measured data are sent via a bus to a PC. The PC is used for data storage and further calculations. The program controls the performance of defined functions, including calibration, by communication between the sensor system and the PC. It is possible to switch between manual (more precise) and automatic calibration of the position setup of the system. The system has measurement precision of 0.5/spl deg/ for each axis in a /spl plusmn/80/spl deg/ range, with no measurable hysteresis, and an immediate response to tilt change. The sensor system is temperature compensated. The LabView development tool is utilized as a service program.
Automatic Normalization of Punjabi Words

For any language in the world, automatic normalization of words is a basic linguistic resource required to develop any type of application in Natural Language Processing (NLP) with high accuracy like: machine translation, document classification, document clustering, text question answering, topic tracking, text summarization and keywords extraction etc. It is not possible to achieve high accuracy without using automatic normalization of words for NLP applications for any language. This paper concentrates on automatic normalization of Punjabi words. Punjabi is the official language for state of Punjab. But Punjabi is under resource language. There are very less number of computational-linguistic resources available for Punjabi. This is 1 st in history that automatic standardization of terms related to Punjabi is implemented and this system can be very much useful in creating other applications for Punjabi having good efficiency. For example it can be applied in different NLP applications like machine translation, document association, documents clustering, topic tracking and text summarization etc.
A multilevel voltage-source inverter with separate DC sources for static VAr generation

A new multilevel voltage-source inverter with separate DC sources is proposed for high-voltage, high power applications, such as flexible AC transmission systems (FACTS) including static VAr generation (SVG), power line conditioning, series compensation, phase shifting, voltage balancing, fuel cell and photovoltaic utility systems interfacing, etc. The new M-level inverter consists of (M-1)/2 single phase full bridges in which each bridge has its own separate DC source. This inverter can generate almost sinusoidal waveform voltage with only one time switching per cycle as the number of levels increases. It can solve the problems of conventional transformer-based multipulse inverters and the problems of the multilevel diode-clamped inverter and the multilevel living capacitor inverter. To demonstrate the superiority of the new inverter, a SVG system using the new inverter topology is discussed through analysis, simulation and experiment.
EEG-Based Brain-Computer Interface System

A brain computer interface (BCI) transforms electrophysiological signals originating from the human brain into commands that control devices or applications. In this way, a BCI provides a new nonmuscular communication channel, which can be extremely useful for people with severe neuromuscular disorders such as amyotrophic lateral sclerosis and brainstem stroke. The immediate goal of our current research is to provide these users with an opportunity to communicate with their environment. Future applications also include the field of multimedia and virtual reality. Present day BCIs use a variety of electrophysiological signals such as slow cortical potentials, evoked potentials (P300), oscillatory activity recorded from scalp or subdural electrodes, and cortical neuronal activity recorded from implanted electrodes. EEG is by far the most frequently used input source, because it is readily available and noninvasive. The poor signal-to-noise ratio of scalp–recorded signals requires the application of advanced signal processing methods. This article outlines and explains the current approaches and methods used in BCI research with emphasis on the signal processing part of the system, consisting of preprocessing, feature extraction, and classification. However, the success of a BCI depends not only on the methodologies applied, but also on the capability of the user to develop and maintain the skill to produce the brain patterns employed by the BCI. Therefore, the interaction between the BCI system and the user, in terms of adaptation and learning, is a challenging aspect of any BCI development and application. Keywords: brain-computer interface; EEG; signal processing; pattern recognition; feature extraction
Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications

Introduction Why Cohort Analysis? Introduction The Conceptualization of Cohort Effects Distinguishing Age, Period, and Cohort Summary APC Analysis of Data from Three Common Research Designs Introduction Repeated Cross-Sectional Data Designs Research Design I: Age-by-Time Period Tabular Array of Rates/Proportions Research Design II: Repeated Cross-Sectional Sample Surveys Research Design III: Prospective Cohort Panels and the Accelerated Longitudinal Design Formalities of the Age-Period-Cohort Analysis Conundrum and a Generalized Linear Mixed Models (GLMM) Framework Introduction Descriptive APC Analysis Algebra of the APC Model Identification Problem Conventional Approaches to the APC Identification Problem Generalized Linear Mixed Models (GLMM) Framework APC Accounting/Multiple Classification Model, Part I: Model Identification and Estimation Using the Intrinsic Estimator Introduction Algebraic, Geometric, and Verbal Definitions of the Intrinsic Estimator Statistical Properties Model Validation: Empirical Example Model Validation: Monte Carlo Simulation Analyses Interpretation and Use of the Intrinsic Estimator APC Accounting/Multiple Classification Model, Part II: Empirical Applications Introduction Recent U.S. Cancer Incidence and Mortality Trends by Sex and Race: A Three-Step Procedure APC Model-Based Demographic Projection and Forecasting Mixed Effects Models: Hierarchical APC-Cross-Classified Random Effects Models (HAPC-CCREM), Part I: The Basics Introduction Beyond the Identification Problem Basic Model Specification Fixed versus Random Effects HAPC Specifications Interpretation of Model Estimates Assessing the Significance of Random Period and Cohort Effects Random Coefficients HAPC-CCREM Mixed Effects Models: Hierarchical APC-Cross-Classified Random Effects Models (HAPC-CCREM), Part II: Advanced Analyses Introduction Level 2 Covariates: Age and Temporal Changes in Social Inequalities in Happiness HAPC-CCREM Analysis of Aggregate Rate Data on Cancer Incidence and Mortality Full Bayesian Estimation HAPC-Variance Function Regression Mixed Effects Models: Hierarchical APC-Growth Curve Analysis of Prospective Cohort Data Introduction Intercohort Variations in Age Trajectories Intracohort Heterogeneity in Age Trajectories Intercohort Variations in Intracohort Heterogeneity Patterns Summary Directions for Future Research and Conclusion Introduction Additional Models Longitudinal Cohort Analysis of Balanced Cohort Designs of Age Trajectories Conclusion Index References appear at the end of each chapter.
Robust optimization, game theory, and variational inequalities

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End User Study on BRS/After Dark.

A study to evaluate first-time end user reactions to online database searching was conducted on the menu-driven BRS/After Dark. Attention was focused on the problems encountered and their implications for instruction. Twenty searches were conducted by students and faculty at University of Wisconsin-Stout. Background informa tion on participants and their reactions to the search was gathered through questionnaires. Search statements were also analyzed. Although search problems were encoun tered, end users responded enthusiastically to database searching. Recommendations for instruction and the role of the intermediary in end user searching are given.
An application of genetic algorithms to solve the layer assignment problem in multi chip modules

The authors investigate the layer assignment problem that occurs in the design of multichip modules (MCMs). An MCM is a high-performance compact package for the interconnection of several hundred chips, which are interconnected by several thousand nets. The aim is to place each net on an x-y pair of layers so as to minimize the number of such layers, with the constraint that the nets do not intersect one another. The authors present a genetic algorithm (GA) approach to solve the problem of minimizing the number of layers. Results obtained for the GA model demonstrate that it is an effective heuristic for the layer assignment problem in MCMs. <<ETX>>
Cooperación de perceptores multicapa y regresión contraída para la estimación de iluminantes

In this paper we introduce an original cooperative approach for illuminant estimation; it takes advantage from two learning ma¬chines: Artificial neural networks and Ridge Regression. The paper exposes theoretical and practical background and methodology for implementation and experiments. Results about the exploration of general conditions and param¬eters show the advantages for our approach.
Advanced High Dynamic Range Imaging: Theory and Practice

Imaging techniques seek to simulate the array of light that reaches our eyes to provide the illusion of sensing scenes directly. Both photography and computer graphics deal with the generation of images. Both disciplines have to cope with the high dynamic range in the energy of visible light that human eyes can sense. Traditionally photography and computer graphics took different approaches to the high dynamic range problem. Work over the last ten years though has unified these disciplines and created powerful new tools for the creation of complex, compelling and realistic images. This book provides a practical introduction to the emerging new discipline of high dynamic range imaging that combines photography and computer graphics. By providing detailed equations and code, the book gives the reader the tools needed to experiment with new techniques for creating compelling images. A supplemental website contains downloads and additional information.
Real-Time Wireless Location and Tracking System with Motion Pattern Detection

Localization and mapping are the essence of successful navigation in mobile platform technology. Localization is a fundamental task in order to achieve high levels of autonomy in robot navigation and robustness in vehicle positioning. Robot localization and mapping is commonly related to cartography, combining science, technique and computation to build a trajectory map that reality can be modelled in ways that communicate spatial information effectively. This book describes comprehensive introduction, theories and applications related to localization, positioning and map building in mobile robot and autonomous vehicle platforms. It is organized in twenty seven chapters. Each chapter is rich with different degrees of details and approaches, supported by unique and actual resources that make it possible for readers to explore and learn the up to date knowledge in robot navigation technology. Understanding the theory and principles described in this book requires a multidisciplinary background of robotics, nonlinear system, sensor network, network engineering, computer science, physics, etc.
Multimedia Design Decisions, Visualisations and the User’s Experience

Interactive multimedia is clearly a field of fundamental research, social, educational and economical importance, as it combines multiple disciplines for the development of multimedia systems that are capable to sense the environment and dynamically process, edit, adjust or generate new content. For this purpose, ideas, theories, methodologies and inventions are combined in order to form novel applications and systems. This book presents novel scientific research, proven methodologies and interdisciplinary case studies that exhibit advances under Interfaces and Interaction, Interactive Multimedia Learning, Teaching and Competence Diagnosis Systems, Interactive TV, Film and Multimedia Production and Video Processing. The chapters selected for this volume offer new perspectives in terms of strategies, tested practices and solutions that, beyond describing the state-of-the-art, may be utilised as a solid basis for the development of new interactive systems and applications.
Annual Meeting of International Neural Network Society

Abstract : The 1988 First Annual Meeting of the International Neural Network Society (INNS) brings together over 2,000 academic commercializers, and financiers in an open forum for the advancement of the full spectrum of significant neural network research and development, from biology through technology. Formed in 1987 in response to the extraordinary international interest in neural network research, INNS includes among its founders many of the most distinguished leaders of the field. By Spring, 1988, INNS membership had grown to over 2,000 of the field's most active researchers, from 34 countries and 47 states in the United States. These are the people who will determine the future of this strategic technology. The INNS invites all those interested in the exciting, and rapidly expanding field of neural networks to attend its 1988 Annual Meeting. The meeting included plenary lectures, symposia, contributed oral and poster presentations, tutorials, commercial and publishing exhibits, government agency presentations, and social events. Papers pertain to: Pattern Recognition; Network Analysis; Cognition and Learning; Neurobiology; Speech; Sensory-motor Control and Robotics; Implementations: Optics and VLSI; Applications; Vision; Neurocomputers
On Two Families of Transformations to Additivity for Binary Response Data

SUMMARY Two families of power transformations for probabilities are introduced to model symmetric and asymmetric departures from the logistic model. The aim is to provide, in a comprehensive way, a representation of alternative scales in terms of which to carry out the analysis of binary response data. Maximum likelihood methods are employed to estimate an appropriate transformation using GLIM. Tests for detection of symmetric and asymmetric departures are proposed.
Self‐Organizing Systems

Self-organizing systems are physical and biological systems in which pattern and structure at the global level arises solely from interactions among the lower-level components of the system. The rules specifying interactions among the system's components are executed using only local information, without reference to the global pattern. Keywords: cellular automaton model; complex system; emergent property; pattern formation; self-organization
Verstehen und Übersetzen : ein Lehr- und Arbeitsbuch

Árið 1982 kom út í Þýskalandi bókin Strategie der Übersetzung eftir þá Hans G. Hönig og Paul Kußmaul (Hönig og Kußmaul 1982) sem báðir kenndu þýðingar við háskólann í Mainz/ Germersheim. Segja má að sú bók, sem einkum var hugsuð sem kennsluog æfingabók fyrir háskólanema í þýðingum, hafi markað viss þáttaskil í því að gera meginhugmyndir svokallaðrar hlutverkseða skoposkenningar í þýðingafræði aðgengilegar öðrum en fræðimönnum og jafnframt sýna fram á hvernig beita má kenningunni á hversdagsleg viðfangsefni þýðandans. Eftir útkomu bókarinnar skrifuðu þeir félagar fjölda greina og nokkrar bækur þar sem þeir útvíkkuðu hugmyndir sínar og útfærðu þær nánar. Hans G. Hönig lést árið 2004 en Paul Kußmaul, sem fór á eftirlaun árið 2005, hefur ótrauður haldið áfram ritstörfum. Bókin Verstehen und Übersetzen kom fyrst út árið 2007 og getur á vissan hátt talist framhald af Strategie der Übersetzung þar eð höfundurinn hnykkir á ýmsum grunnhugmyndum þeirrar bókar. Aðaláherslan er hér þó á nánari lýsingu á þýðingarferlinu, bæði skilningsferlinu, þ. e. viðleitninni til að skilja frumtextann, og orðunarferlinu sem svo mætti kalla, er lýtur að því að færa inntak frumtextans í orð á markmálinu, og leitar höfundur óspart í smiðju