Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile Information Systems: Infrastructure and Design for Adaptivity and Flexibility

Interestingly, mobile information systems infrastructure and design for adaptivity and flexibility reprint that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that is provided in better way and utterance will be expected by many peoples. Even you are a good reader or not, feeling to read this book will always appear when you find it. But, when you feel hard to find it as yours, what to do? Borrow to your friends and don't know when to give back it to her or him.
On the Perception of Time as Phase: Toward an Adaptive-Oscillator Model of Rhythm

Many human behaviors re ect the attunement of our perceptual systems to rhythmic patterns of stimulation. Examples include dancing to music, speech communication, and the performance of a symphony orchestra. However, developing a computational model of rhythm perception has proven to be di cult for two main reasons. First, rhythm is holistic, yet rhythmic patterns evolve over time. Second, periodicities in rhythmic patterns typically exhibit variability in their timing. Many previous approaches to rhythm perception have ignored these two problems by abstracting time to the level of musical notation, and thus failed to address the fundamental issue of the perception of time. The approach taken in this thesis is that the development of a model of rhythm perception must rst address the perception of the time intervals which comprise rhythmic patterns. I propose a class of adaptive-oscillator processing units which track periodicities in rhythmic patterns (beats). Modest random variations in the timing of rhythmic patterns do not reduce the adaptive oscillator's ability to attain synchrony, and can even improve it. An Entrainment Model of human time perception is then developed. The model is evaluated by comparing its performance on a series of tempo-discrimination simulations to data from analogous human listening experiments, investigating several rhythmic factors that in uence listeners' ability to detect di erences in the tempo of isochronous auditory sequences. Data obtained from the simulations agreed with the human data, providing support for the model. As an additional evaluation, two tempo-discrimination experiments were conducted to test model predictions regarding the perception of time as phase. The results of these two experiments also agreed with the model. Compared with other psychological models of time perception, the adaptive-oscillator-based Entrainment Model is the only model to provide a uni ed explanation for these tempo data. This thesis supports the adaptive-oscillator mechanism as a viable approach to modeling rhythm perception, addressing the holistic nature of rhythm, the problem of timing variability, and the perception of time. Furthermore, this thesis demonstrates how direct coupling of a computational system with the temporal structure of its environment is a potentially useful method for learning to interact with that environment.
QUANTIFICAÇÃO DE CHUMBO EM SOLOS: UM ESTUDO COMPARATIVO ENTRE ÁREAS DE FALHA GEOLÓGICA E ÁREAS RURAIS NA CIDADE DE PRESIDENTE PRUDENTE/SP

O objetivo desse trabalho foi a quantificacao de Pb em amostras de solos, em areas especificas na cidade de Presidente Prudente-SP, onde a particularidade do meio fisico e o indicio de uma falha geologica. Coletaram-se amostras em areas pre-estabelecidas do Campus da FCT - UNESP, conforme dados referentes a emanacao de Rn, e tambem perfis de solos no Distrito de Montalvao. Utilizou-se a tecnica voltametrica de redissolucao anodica com eletrodo de mercurio para a quantificacao de Pb, que mostrou-se satisfatoria e com baixo limite de deteccao. A concentracao de Pb nas amostras de solo coletadas na area rural foi cem vezes menor que na area de suposta falha geologica, gerando a hipotese de influencia da emanacao de Rn quanto ao teor de Pb nessas areas. Analises granulometricas e imagens do MEV foram usadas para estudo e caracterizacao das amostras de solos.
IP telephony: packet-based multimedia communications systems

I recommend this book to all VoIP engineers, analysts, and IT managers who really want to know what they are talking about on the net, enjoy! " -Jeff Pulver, founder of the VON (Voice On the Net) coalition, and the founder and president of pulver.comInternet Telephony is now one of the most important and fastest growing technologies on the Internet, providing a viable technical and economical alternative to current telecommunication networks. Network providers and major companies are thus investigating how this emerging technology can be implemented, and at what cost and savings, in their organizations. This book provides a comprehensive practical overview of the technology behind Internet Telephony, giving essential information to IT professionals who need to understand the background and explore the issues involved in migrating the existing telephony infrastructure to an IP based real time communication service. Assuming a working knowledge of IP and ISDN networking, it addresses the technical aspects of real-time applications over IP, with an in-depth coverage of voice and video applications and protocols. Drawing on their extensive research and practical development experience in VoIP from its earliest stages, the authors give you access to all the relevant standards and cutting-edge techniques in a single resource. IP Telephony is organized into three clearly structured sections, focusing on protocols, voice technology and networks with a step-by-step approach. The protocols section sets IP telephony in context and then covers H.323, SIP and MGCP in detail, examining in turn their pros and cons, and using examples of particular cases and scenarios. The voice technology section describes voice quality, including the ETSI TIPHON approach, and voice coding, with summary comments on the applicability to VoIP telephone gateways. The final section on networks addresses Quality of Service (QoS) issues, explores dimensioning a VoIP network, and introduces Multicast routing, including a perspective on security and MBONE applications.
Performance Metrics for High End Computing

This white paper addresses three separate questions in the HECRTF call for white papers: (2d) performance metrics that quantify benefits; (5) practical performance measures for system procurement that correlate well with realized performance of actual applications; and, (6) methods for deriving system performance targets from actual or projected application requirements or other user needs.
Building embedded conceptual parsers

This dissertation describes how to build conceptual parsers (that is, natural language understanding systems built on semantic and pragmatic principles) that are embedded into application programs. A new architecture for building such parsers, indexed concept parsing, is described. Indexed concept parsing is a case-based reasoning approach to parsing, in which underlying target concepts (that is, those conceptual representations of the application program identified as important to recognize) are associated with sets of index concepts. Each index concept is associated with sets of phrasal patterns. At run time, the parser looks for phrasal patterns in input text, and the index concepts recognized thereby are used to appraise the best matching target concepts. The architecture defines a range of parsers, in which the complexity of the index concept representations can vary according to the needs of the application program: index concepts can be key words, synonym sets, representations in an abstraction hierarchy, or representations in a partonomic hierarchy. Indexed concept parsing was developed to build parsers for Casper, an interactive learning environment designed to teach customer service representatives how to solve customer problems, and TransAsk, a multimedia system for transportation planners. Indexed concept parsing proved robust (for example, the Casper parser had an accuracy rate ranging from 83-96%), yet required minimal knowledge representation. A methodology for building an indexed concept parser is given, and evaluation metrics are described. Another parser, based on Direct Memory Access Parsing (DMAP), and developed for the Creanimate biology tutor, is also described, as well as a DMAP parser for Casper. Indexed concept parsing and DMAP are contrasted as architectures for building embedded conceptual parsers.
Is Identical Really Identical? An Investigation of Equivalency Theory and Online Learning

This study investigates the validity of equivalency theory among 63 students by comparing two introductory upper-division human resource management courses: one taught online, the other in a traditional classroom. Commonalities included same term, same professor, and identical assignments/tests in the same order, thus allowing a direct comparison of course outcomes. MANCOVA results supported equivalency theory, and further suggest that the online learning pedagogy may be superior in its overall effect on student performance. The Journal of Educators Online, Volume 5, Number 1, January 2008
Adaptive combination of evidence for information retrieval

The ubiquity of the World Wide Web and the growth in both size and availability of collections of free text in general argues for smarter and more effective techniques for finding relevant documents. We explore one class of IR system algorithms (or “search engines”) based on combining the lists of documents returned by other IR systems, attempting to test the adage “two heads are better than one. ” These algorithms also have the critical feature that the they are adaptive, taking feedback from the user and using it to change the way they combine the component search engines. We explore two specific neural network based models: the Linear Combination (LC), which scores a document as a weighted sum of the scores the document received from the component systems, and the Adaptive Combination of Evidence (ACE) model, which modifies how much it listens to any one of the search engines based on the semantic content of the document. Via extensive experiments combining a wide range of search engines from the standardized TREC database, we discover not only which types of IR tasks each combination model is best suited for, but also what types of IR systems it makes sense to combine. We also characterize the amount of gain achievable by adding progressively more search engines to the combination, and describe methods which will ensure moderate to extensive levels of improvement.
Verbal short-term memory and vocabulary learning

This thesis addressed two key issues. The first was the extent to which verbal short-term memory (STM) for item and order information can be differentiated in terms of their underlying neural mechanisms. The second was to analyze the relative contributions of item and order STM to vocabulary learning in bilingual (BL) and monolingual (ML) children and ML adults. The first issue was addressed with four studies. Three used electroencephalography (EEG) with ML adults, BL adults and ML children. The aim was to determine whether there is any evidence that the two types of verbal STM have different neural signatures. The fourth study used transcranial magnetic stimulation (TMS) in ML adults to test the hypothesis that the right intraparietal sulcus (IPS) is involved in order STM but not item STM. The second issue was addressed by two behavioural studies. The first was a large-scale longitudinal study testing item and order STM in relation to natural vocabulary acquisition in 7 to 10 year old BL and ML children. The children were tested once in the beginning and once in the end of the school year. In addition, ML children learning a second language were examined in the end of the school year. The second behavioural study explored therelationship of item and order STM with new-word-learning in ML adults using artificially-created nonwords. Some evidence was found to support the view that the distinction of item and order STM is a useful one. Results of the EEG data suggested differences in patterns of neuro-electrical activity for ML and BL adults and ML children when they are performing item STM and order STM tasks. The results suggest that order STM is important for new word learning in one´s native language learning, where there has already been some exposure to this language, but not in complete novice language learners.
Adverbiaux temporels et expressions référentielles comme marqueurs de segmentation : emploi simultané ou exclusif ?

This research tries to answer a question initiated by Vonk et al. (1992) on the simultaneous use or not of two types of segmentation markers : temporal expressions and nominal anaphora. A corpus analysis shows that these two types of expressions appear simultaneously to highlight a paragraph shift. This observations confirm the interest of automatic text segmentation procedures that are based on the coccurrence of indices.
Experimental Design for Comparing Static Concurrency Analysis

This paper reports the results of an empirical comparison of several static analysis tools for evaluating properties of concurrent software and also reports the resuilts of our attempts to build predictive models for each of the tools based on program and property characteristics. Although this area seems well suited to empirical investigation, we encountered a number of significant issues that make designing a sound and unbiased study surprisingly difficult. These experiment design issues are also discussed in this paper.
Using the NuSMV Model Checker to verify the Kerberos Protocol

The aim of this paper is to present a methodology for verifying cryptographic protocols by means of NuSMV, a symbolic model checker. We illustrate this approach by describing our analysis of the basic version of Kerberos, a widely used authentication protocol. The most innovative feature of our methodology is constituted by formal representation of security requirements. Indeed, we propose an extension of correspondence property, so far used only for authentication, to other requirements, as secrecy and integrity. This generalization leads to a unifying view of basic security requirements. The adequacy of our analysis is proved by nding an unpublished attack on Kerberos that may lead to serious consequences on the security of the systems that adopt it.
Semantic relevance analysis of subject-predicate-object (SPO) triples

The goal of this thesis is to explore and integrate several existing measurements for ranking the relevance of a set of subject-predicate-object (SPO) triples to a given concept. As we are inundated with information from multiple sources on the WorldWide-Web, SPO similarity measures play a progressively important role in information extraction, information retrieval, document clustering and ontology learning. This thesis is applied in the Cyber Security Domain for identifying and understanding the factors and elements of sociopolitical events relevant to cyberattacks. Our efforts are towards developing an algorithm that begins with an analysis of news articles by taking into account the semantic information and word order information in the SPOs extracted from the articles. The semantic cohesiveness of a user provided concept and the extracted SPOs will then be calculated using semantic similarity measures derived from 1) structured lexical databases; and 2) our own corpus statistics. The use of a lexical database will enable our method to model human common sense knowledge, while the incorporation of our own corpus statistics allows our method to be adaptable to the Cyber Security domain. The model can be extended to other domains by simply changing the local corpus. The integration of different measures will help us triangulate the ranking of SPOs from multiple dimensions of semantic cohesiveness. Our results are compared to rankings gathered from surveys of human users, where each respondent ranks a list of SPO based on their common knowledge and understanding of the relevance evaluations to a given concept. The comparison demonstrates that our integrated SPO similarity ranking scheme closely reflects the human common sense knowledge in a specific domain it addresses.
Semantic Web Interaction on Internet Relay Chat

Internet Relay Chat (IRC) is a chat system that has millions of users. IRC robots (bots) are programs that sit in chat rooms and provide different services to users. The IRC bot as a mechanism for human interaction with the Semantic Web specifically with web services and knowledge bases is simple to program, has an intuitive, conversational interface for human users, and fits well with the inputs and outputs of Semantic Web queries. This paper presents implementations of bots for interacting with web services and FOAF/Trust data models. We outline tools for implementation and present directions for future work to generalize the function of these bots.
ExpLSA et classification de textes

Latent semantic analysis (LSA) is a statistic method which can be used to perform the classification of texts approaches. The size of the textual data has usefully an important impact for this task. This paper proposes an expansion method of sentences to improve the classification approaches. Experimental results based on a corpus of news allow to characterize the texts which improve LSA.
Porting the SR Programming Language

To configure a new architecture, edit the file arch.h in the main directory and add a section similar to the others. Use conditional code triggered by a symbol that is predefined by the C compiler. hhhhhhhhhhhhhhhhhh The SR Programming Language comes from the Department of Computer Science, The University of Arizona, Tucson, Arizona 85721 USA. The implementation is available by anonymous FTP from ftp.cs.arizona.edu, and the SR Project may be reached by sending electronic mail to sr-project@cs.arizona.edu.
LEARNING PROGRESSIONS AS TOOL FOR CURRICULUM DEVELOPMENT: LESSONS FROM THE INQUIRY PROJECT

The Inquiry Project, a collaboration between TERC and Tufts University, is a multi-faceted project that involves elaborating a learning progression for matter developing and implementing curriculum and formative assessment for grades 3-5 based on the learning progression, and conducting an intensive 3-year longitudinal study comparing the growth of thinking about matter among students with and without the new Inquiry Project curriculum. The progression is informed by a broader K-12 learning progression for matter (Smith, Wiser, Anderson, & Krajcik, 2006). In this paper, we draw from our work in the Inquiry Project to formulate ways in which designing curricula within a LP framework contrasts with other approaches: (a) organizing curricular units for each grade around core concepts (that are carried across the grades) rather than topics; (b) using core concepts to build knowledge over time (i.e., across grade) rather than aiming for self-contained modules that can be used interchangeably; (c) establishing learning goals in terms of coherent networks of concepts that are stepping stones for further learning, rather than in terms of pieces of expert understanding; and (d) fostering reconceptualization in the domain of matter, using lever concepts and linchpins. Lever concepts exist prior to instruction and bear important relations to other concepts; their reconceptualization helps propel the knowledge network forward. Linchpins are visual models that express the quantificational structure of concepts; they are an important tool of reconceptualization.
Is this question a question? Final rise as an interrogative marker in Swedish

In Swedish, sentence end is typically marked by a final low. This is also the case for questions, although yes-no questions can be marked by a raised fundamental frequency [2]. In this report, the findings of two types of dialog analysis are presented. Discourse segments marked as questions by evaluators were collected from a corpus of Swedish Map-task dialogs. Prosodic analysis supports the claims that final rise is not a necessary condition for question intonation in Swedish, while yes-no questions can be marked by final rise. Basic syntactic analysis shows that sentence initial finite verbs, interrogative pronouns and adverbs are triggers for perception of questions. Analysis based on the expected response of the segments show that more than half of the utterances perceived as questions by the evaluators are yesno questions.
Extension et couplage de ressources syntaxiques et sémantiques sur les adverbes

This paper presents a work on the extension of a semantic lexical resource for French adverbs, using both the derivation and the synonyms relations. The latter relies on the DicoSyn synonyms database. We also describe the construction of links between this semantic resource and the adverbial entries of the syntactic lexicon Lefff , which were mostly extracted from the lexicon-grammar tables from (Molinier & Levrier 2000). The extended semantic resource is carefuly evaluated. Both the WOLF and the Lefff are freely available.
Translations as semantic mirrors: from parallel corpus to wordnet

The paper reports from the project ‘From Parallel Corpus to Wordnet’ at the University of Bergen (2001–2004), which explores a method for deriving wordnet relations such as synonymy and hyponymy from data extracted from parallel corpora. Assumptions behind the method are that semantically closely related words ought to have strongly overlapping sets of translations, and words with wide meanings ought to have a larger number of translations than words with narrow meanings. Furthermore, if a word a is a hyponym of a word b (such as tasty of good, for example), then the possible translations of a ought to be a subset of the possible translations of b.Based on assumptions like these a set of definitions are formulated, defining semantic concepts like, e.g., ‘synonymy’, ‘hyponymy’, ‘ambiguity’ and ‘semantic field’ in translational terms. The definitions are implemented in a computer program which takes words with their sets of translations from the corpus as input and performs the following calculations: (1) On the basis of the input different senses of each word are identified. (2) The senses are grouped in semantic fields based on overlapping sets of translations, such overlap being assumed to indicate semantic relatedness. (3) On the basis of the structure of a semantic field a set of features is assigned to each individual sense in it, coding its relations to other senses in the field. (4) Based on intersections and inclusions among these feature sets a semilattice is calculated with the senses as nodes. According to our hypothesis, hyponymy/hyperonymy, near-synonymy and other semantic relations among the senses now appear through dominance and other relations among the nodes in the semilattice. Thus, the semilattice is supposed to contain some of the semantic information we want to represent in wordnets. (5) In accordance with this assumption, thesaurus-like entries for words are generated from the information in the semilattice.In the project these assumptions are tested against data from the English- Norwegian Parallel Corpus ENPC (Johansson 1997).
Real-Time Java Platform Programming: Second Edition

This practical guide provides a solid grounding in the use of the Real-Time Specification for Java. Dibble, the Specification Lead for the RTSJ, starts with an overview of real-time issues. He then explains how to use each major feature of the RTSJ with numerous working examples and code patterns. From broad real-time principles to the details of important programming pitfalls, Real-Time Java Platform Programming covers everything you need to know to build effective RT programs. Topics include: interoperability with non-RT code, trade-offs in real-time development, garbage collection, non-heap access, scoped and immortal memory, use of the raw memory access classes to operate hardware devices, priority scheduling, deadline scheduling, rate monotonic analysis, periodic threads, deadline miss handlers, asynchronous events, timers, asynchronous transfer of control and recommended programming practices.