Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel slotted waveguide antenna with polarimetric capabilities

Presents a novel dual polarised slotted waveguide array antenna. It is intended for an advance synthetic aperture radar with polarimetric capabilities. Special emphasis is given to achieve a compact subarray design with large bandwidth, high polarisation purity, low loss and high port to port isolation. A breadboard antenna example is presented at 9.6 GHz having a scan range of /spl plusmn/23/spl deg/ transverse the subarray axis.
Data Driven Models for Language Evolution

Natural languages that originate from a common ancestor are genetically related, words are the core of any language and cognates are words sharing the same ancestor and etymology. Cognate identification, therefore, represents the foundation upon which the evolutionary history of languages may be discovered, while linguistic phylogenetic inference aims to estimate the genetic relationships that exist between them. In this thesis, using several techniques originally developed for biological sequence analysis, we have designed a data driven orthographic learning system for measuring string similarity and we have successfully applied it to the tasks of cognate identification and phylogenetic inference. Our system has outperformed the best comparable phonetic and orthographic cognate identification models previously reported in the literature, with results statistically significant and remarkably stable, regardless of the variation of the training dataset dimension. When applied to phylogenetic inference of the Indo-European language family, whose higher structure does not yet have consensus, our method has estimated phylogenies which are compatible with the benchmark tree and has reproduced correctly all the established major language groups and subgroups present in the dataset.
Self-calibration of single-loop, closed kinematic chains formed by dual or redundant manipulators

A novel approach to identifying the kinematic models of redundant or dual manipulators without end-point sensing is presented. Starting from the observation that such manipulators can be made to form mobile closed kinematic chains, it is shown that these closed loops can be identified by an iterative-least-squares algorithm similar to that used in calibrating open-chain manipulators. Simulations have demonstrated that this technique is viable. The issue of the identifiability of the kinematic parameters of the closed loop is addressed. <<ETX>>
Recurrent network training with the decoupled-extended-Kalman-filter algorithm

In this paper we describe the extension of our decoupled extended Kalman filter (DEKF) training algorithm to networks with internal recurrent (or feedback) connections; we call the resulting algorithm dynamic DEKF (or DDEKF for short). Analysis of DDEKF's computational complexity and empirical evidence suggest significant computational and performance advantages in comparison to training algorithms based exclusively upon gradient descent. We demonstrate DDEKF's effectiveness by training networks with recurrent connections for four different classes of problems. First, DDEKF is used to train a recurrent network that produces as its output a delayed copy of its input. Second, recurrent networks are trained by DDEKF to recognize sequences of events with arbitrarily long time delays between the events. Third, DDEKF is applied to the training of identification networks to act as models of the input-output behavior for nonlinear dynamical systems. We conclude the paper with a brief discussion of the extension of DDEKF to the training of neural controllers with internal feedback connections.
Input-output economics

The only comprehensive introduction which Leontief has written to his model of Input-Output Economics, for which he was awarded the Nobel Prize in Economic Science in 1972. Many of the chapters have already appeared as articles in journals, but Leontief's writings have a range and consistency that gives this collection a sense of coherence. The book begin with non-technical articles on the theory of Input-Output Economics and progresses to more technical essays, and then to specific applications of the theory. This edition has been thoroughly revised, at least one third of the material being new.
W/sup 4/: Who? When? Where? What? A real time system for detecting and tracking people

W/sup 4/ is a real time visual surveillance system for detecting and tracking people and monitoring their activities in an outdoor environment. It operates on monocular grayscale video imagery, or on video imagery from an infrared camera. Unlike many of the systems for tracking people, W/sup 4/ makes no use of color cues; instead, W/sup 4/ employs a combination of shape analysis and tracking to locate people and their parts (head, hands, feet, torso) and to create models of people's appearance so that they can be tracked through interactions such as occlusions. W/sup 4/ is capable of simultaneously tracking multiple people even with occlusion. It runs at 25 Hz for 320/spl times/240 resolution images on a dual pentium PC.
Method for Identifying Resting State Networks following Probabilistic Independent Component Analysis

Independent Component Analysis (ICA) is a model-free functional connectivity technique which breaks down the blood oxygen level dependent signal into spatial maps (components) representing statistically independent fMRI source signals. Probabilistic ICA (PICA) improves upon the traditional ICA model by adding noise, and assumes for a non-square mixing matrix, enabling more accurate calculations of the spatial components. However, PICA still generates components in a random order requiring additional steps for identifying significant resting state networks (RSNs) across a group of subjects. The state-of-the-art for identifying these RSNs across a group of subjects following PICA either requires an extensive group-wise algorithm that derives individual component maps for each subject, or through correlating the components with a template to determine the goodness-of-fit. This thesis introduces an open-source template-matching algorithm for identifying resting state networks from components following any probabilistic Independent Component Analysis. Component selections are determined objectively through the use of correlations coefficients, and are excluded based on p-values calculated using Fisher's R-to-Z transform. The final output of the algorithm displays both visually appealing and quantitative information enabling researchers to identify significant components without prior knowledge of their spatial distributions. iii iv Acknowledgements I would like to thank my committee members, Rao for their contributions and time in reviewing the content of this thesis. I would like to also thank everyone at the Center for Imaging Research for their help in the completion of this thesis. I would like to especially thank Dr. James Eliassen for the initial idea of this template-matching algorithm, Matt Norris for his expertise in AFNI and fMRI data analysis, Beth Fugate for acquiring the images used to develop this algorithm, and finally Dr. Jonathan Dudley for his time and ideas in group meetings.
THE TYPES OF SLANG WORDS IN THE LYRICS OF "JIGSAW" ALBUM BY LADY SOVEREIGN

Abstrak Tujuan penelitian ini adalah (1) untuk mengidentifikasi tipe kata-kata tabu yang terdapat dalam lirik lagu pada album Eminem, (2) untuk mendeskripsikan makna dari kata-kata tersebut sesuai dengan liriknya dan (3) untuk menganalisis fungsi kata-kata tabu yang ditemukan pada album Eminem. Jenis penelitian ini adalah penelitian deskriptif. Data penelitian ini adalah kata-kata tabu yang terdapat pada lirik lagu dalam album Eminem. Dari hasil penelitian, peneliti menemukan bahwa kata-kata tabu lebih banyak digunakan pada album Eminem yang berjudul Bad Meets Evil yang terbit pada tahun 2011 dibandingkan pada album Eminem yang berjudul Slim Shady LP yang terbit pada tahun 1999. Dari hasil penelitian, peneliti menemukan bahwa tipe kata-kata tabu yang terdapat dalam album Eminem ada tiga yaitu; kata-kata yang berhubungan dengan anggota tubuh, kata-kata yang berhubungan dengan hal sexual, dan umpatan. Key words: types, slang, words, lyrics
Two-phase modulation technique for three-level inverter fed AC drives

Two-phase dipolar and unipolar modulation techniques for three-level inverters are suggested and compared with conventional three-phase ones. Two-phase PWMs with 60/spl deg/ (0/spl deg/ and /spl plusmn/30/spl deg/ shift) and 120/spl deg/ cycles are investigated from the point of view of harmonic losses, motor voltage spectra and torque pulsations. It is shown that two-phase dipolar PWMs have no advantages in comparison with three-phase PWMs. At the same time two-phase unipolar PWMs-in contrast with three-phase PWMs-considerably decrease the motor harmonic losses and torque pulsations in the whole motor voltage region.
A cross-channel modeling approach for automatic segmentation of conversational telephone speech [automatic speech recognition applications]

Automatic segmentation of audio is an essential front-end process for automatic speech recognition applications where true speech boundaries are unknown. In this paper, we present a cross-channel modeling approach for segmentation in a specific domain - 4-wire recorded conversational telephone speech. The paper describes and compares two types of cross-channel modeling - energy-based and Gaussian mixture model. Since improving speech recognition accuracy is our main objective, the effectiveness of automatic segmentation is measured using the word-error-rate (WER) and compared with a manual-segmentation baseline. With cross-channel modeling, we obtained a negligible WER difference between manual and automatic segmentation on three different languages. Issues, such as training data preparation, features, and language-dependency, are also discussed.
Adaptive image restoration using a multiresolution Hopfield neural network

The paper describes an approach to the restoration problem which combines the energy minimization of Hopfield networks with a multiresolution image representation, which allows coarse-fine smoothing, in a way similar to that pioneered by Clippingdale (1988). After a brief presentation of the theoretical background, results are presented for an adaptive restoration algorithm and compared with those obtained using a non-adaptive technique, which show that the adaptive method gives significantly better results, in terms of their subjective quality.
Investigating Prompt Difficulty in an Automatically Scored Speaking Performance Assessment.

Investigating Prompt Difficulty in an Automatically Scored Speaking Performance Assessment Troy L. Cox Department of Instructional Psychology and Technology Doctor of Philosophy Speaking assessments for second language learners have traditionally been expensive to administer because of the cost of rating the speech samples. To reduce the cost, many researchers are investigating the potential of using automatic speech recognition (ASR) as a means to score examinee responses to open-ended prompts. This study examined the potential of using ASR timing fluency features to predict speech ratings and the effect of prompt difficulty in that process. A speaking test with ten prompts representing five different intended difficulty levels was administered to 201 subjects. The speech samples obtained were then (a) rated by human raters holistically, (b) rated by human raters analytically at the item level, and (c) scored automatically using PRAAT to calculate ten different ASR timing fluency features. The ratings and scores of the speech samples were analyzed with Rasch measurement to evaluate the functionality of the scales and the separation reliability of the examinees, raters, and items. There were three ASR timed fluency features that best predicted human speaking ratings: speech rate, mean syllables per run, and number of silent pauses. However, only 31% of the score variance was predicted by these features. The significance in this finding is that those fluency features alone likely provide insufficient information to predict human rated speaking ability accurately. Furthermore, neither the item difficulties calculated by the ASR nor those rated analytically by the human raters aligned with the intended item difficulty levels. The misalignment of the human raters with the intended difficulties led to a further analysis that found that it was problematic for raters to use a holistic scale at the item level. However, modifying the holistic scale to a scale that examined if the response to the prompt was at-level resulted in a significant correlation (r = .98, p < .01) between the item difficulties calculated analytically by the human raters and the intended difficulties. This result supports the hypothesis that item prompts are important when it comes to obtaining quality speech samples. As test developers seek to use ASR to score speaking assessments, caution is warranted to ensure that score differences are due to examinee ability and not the prompt composition of the test.
La Casa del Fascio di Como e la sue "decorazioni". Uno strumento di comunicazione del potere

La Casa del Fascio costruita a Como da Giuseppe Terragni e, senza dubbio, uno dei capolavori del Razionalismo italiano, declinato secondo i personali modi dell'architetto comasco. Come ha giustamente notato Diane Ghirardo, pero, non pare plausibile limitarsi ad una lettura esclusivamente formale dell'edificio. Il senso profondo e il valore stesso della Casa del Fascio, infatti, possono essere compresi appieno soltanto considerando quello che era il progetto originario dell'architetto, quindi senza trascurare il ricco apparato “decorativo” che dell'edificio era parte integrante. Pensiamo, cioe, ai pannelli fotomeccanici progettati da Marcello Nizzoli per la facciata, che furono realizzati anche se mai collocati in sede, e agli interventi di Mario Radice per la Sala del Direttorio e per il Salone delle Adunate, distrutti nell'immediato dopoguerra; a tale proposito, non dobbiamo dimenticare anche gli interventi decorativi progettati dall'architetto stesso per la Sala del Federale e la Sala intitolata a Gigi Maino. In quest'ottica, la Casa del Fascio si presenta sotto un'altra luce, come un edificio di grande valore funzionale, ma di notevole interesse anche sul piano comunicativo.
The Importance of Semantics: Visual World Studies on Drawing Inferences and Resolving Anaphors

The present thesis investigated the importance of semantics in generating inferences during discourse processing. Three aspects of semantics, gender stereotypes, implicit causality information and proto-role properties, were used to investigate whether semantics is activated elaboratively during discourse comprehension and what its relative importance is in backward inferencing compared to discourse/structural cues. Visual world eye-tracking studies revealed that semantics plays an important role in both backward and forward inferencing: Gender stereotypes and implicit causality information is activated elaboratively during online discourse comprehension. Moreover, gender stereotypes, implicit causality and protorole properties of verbs are all used in backward inferencing. Importantly, the studies demonstrated that semantic cues are weighed against discourse/structural cues. When the structural cues consist of a combination of cues that have been independently shown to be important in backward inferencing, semantic effects may be masked, whereas when the structural cues consist of a combination of fewer prominent cues, semantics can have an earlier effect than structural factors in pronoun resolution. In addition, the type of inference matters, too: During anaphoric inferencing semantics has a prominent role, while discourse/structural salience attains more prominence during non-anaphoric inferencing. Finally, semantics exhibits a strong role in inviting new inferences to revise earlier made inferences even in the case the additional inference is not needed to establish coherence in discourse. The findings are generally in line with the Mental Model approaches. Two extended model versions are presented that incorporate the current findings into the earlier literature. These models allow both forward and backward inferencing to occur at any given moment during the course of processing; they also allow semantic and discourse/structural cues to contribute to both of these processes. However, while Mental Model 1 does not assume interactions between semantic and discourse/structural factors in forward inferencing, Mental Model 2 does assume such a link.
The Definitive ANTLR Reference: Building Domain-Specific Languages

ANTLR v3 is the most powerful, easy-to-use parser generator built to date, and represents the culmination of more than 15 years of research by Terence Parr. This book is the essential reference guide to using this completely rebuilt version of ANTLR, with its amazing new LL(*) parsing technology, tree construction facilities, StringTemplate code generation template engine, and sophisticated ANTLRWorks GUI development environment. Learn to use ANTLR directly from the author! ANTLR is a parser generator-a program that generates code to translate a specified input language into a nice, tidy data structure. You might think that parser generators are only used to build compilers. But in fact, programmers usually use parser generators to build translators and interpreters for domain-specific languages such as proprietary data formats, common network protocols, text processing languages, and domain-specific programming languages. Domain-specific languages are important to software development because they represent a more natural, high fidelity, robust, and maintainable means of encoding a problem than simply writing software in a general-purpose language. For example, NASA uses domain-specific command languages for space missions to improve reliability, reduce risk, reduce cost, and increase the speed of development. Even the first Apollo guidance control computer from the 1960s used a domain-specific language that supported vector computations. This book is the definitive guide to using the completely rebuilt ANTLR v3 and describes all features in detail, including the amazing new LL(*) parsing technology, tree construction facilities, StringTemplate code generation template engine, and sophisticated ANTLRWorks GUI development environment. You'll learn all about ANTLR grammar syntax, resolving grammar ambiguities, parser fault tolerance and error reporting, embedding actions to interpret or translate languages, building intermediate-form trees, extracting information from trees, generating source code, and how to use the ANTLR Java API.
Malware Templates for MAlSim

This report describes the methodology of malware templates for MAlSim Mobile Agent Malware Simulator, a mobile agent framework which aims at simulation of diverse malicious software in computer network of an arbitrary information system. Malware template is a pattern (a ‘guide’) for implementation of MAlSim agent aiming at simulation of a concrete malware. It indicates the selection and configuration of Java classes (MAlSim agent, one or more behavioural patterns and one or more migration/replication patterns) selected from MAlSim Toolkit. How to obtain EU publications Our priced publications are available from EU Bookshop (http://bookshop.europa.eu), where you can place an order with the sales agent of your choice. The Publications Office has a worldwide network of sales agents. You can obtain their contact details by sending a fax to (352) 29 29-42758. The mission of the JRC is to provide customer-driven scientific and technical support for the conception, development, implementation and monitoring of EU policies. As a service of the European Commission, the JRC functions as a reference centre of science and technology for the Union. Close to the policy-making process, it serves the common interest of the Member States, while being independent of special interests, whether private or national.
Geographical forwarding methods in vehicular ad hoc networks

Vehicular ad hoc networks are new and emerging technology and special class of mobile ad hoc networks that provide wireless communication between vehicles without any fixed infrastructure. Geographical routing has appeared as one of the most scalable and competent routing schemes for vehicular networks. A number of strategies have been proposed for forwarding the packets in geographical direction of the destination, where information of direct neighbors is gained through navigational services. Due to dynamically changing topologies and high mobility neighbor information become outdated. To address these common issues in network different types of forwarding strategies have been proposed. In this review paper, we concentrate on beaconless forwarding methods and their forwarding methods in detail.
Hittestress in Rotterdam : eindrapport

Rotterdam heeft de ambitie in 2025 100% klimaatbestendig te zijn. Daarom is in het kader van het Kennis voor Klimaat onderzoeksprogramma (1e tranche) het project “Hittestress in Rotterdam” uitgevoerd. Ten gevolge van klimaatverandering kan Nederland te maken krijgen met meer en langere periodes van zomerse en tropische temperaturen. Met name in een grote stad als Rotterdam kan dit problematisch worden. Door het typisch stedelijk land- en materiaalgebruik (veel wegen en gebouwen, minder groen en water) blijft de warmte er namelijk langer hangen en blijft de temperatuur hoger dan in het omringende landelijke gebied: het zogenaamde stedelijk hitte-eiland effect. Dit effect wordt versterkt door de voortdurende verdichting van de stad en leidt er naar verwachting toe dat stedelingen in toenemende mate hinder ondervinden van overmatige warmte (hittestress).
Iterative heuristics for multiobjective VLSI standard cell placement

We employ two iterative heuristics for the optimization of VLSI standard cell placement. These heuristics are based on genetic algorithms (GA) and tabu search (TS) respectively. We address a multiobjective version of the problem, in which power dissipation, timing performance, and interconnect wire length are optimized while layout width is taken as a constraint. Fuzzy rules are incorporated in order to design a multiobjective cost function that integrates the costs of three objectives in a single overall cost value. A series of experiments is performed to study the effect of important algorithmic parameters of GA and TS. Both the techniques are applied to ISCAS-85/89 benchmark circuits and experimental results are reported and compared.