Miracle-dz/UniFAR-FTUs huggingface dataset:
INFLAÇÃO, DESEMPREGO E CHOQUES CAMBIAIS: ESTIMATIVAS VAR PARA A ECONOMIA BRASILEIRA

This paper estimates a VAR model representing the new-Keynesian Phillips curve with exchange rate shocks for the Brazilian economy. The unemployment rate from the PME survey is our proxy for the marginal cost, inflation is measured by the CPI, and expectations were obtained from the Central Bank survey with the financial market. The empirical findings may be summed up in the following: a) the exchange rate pass-through is around 0.04 p.p. to the next month inflation (above 0.4 p.p. in the annualized rate) after an exogenous variation of R$ 0,01 in the dollar price, but this effect is insignificant; b) a shock on the unemployment rate lasts abound 18 months; c) an innovation of 0,06 p.p. on expectations is carried to inflation which is increased by 0,05 p.p. in the month following the shock (0.6 p.p. over the annualized inflation); and d) a shock on the inflation rate has no effect over the unemployment rate, that is, more inflation does not reduce unemployment.
A scaling limit for weakly pinned Gaussian random walks (Proceedings of RIMS Workshop on Stochastic Analysis and Applications)

The aim of this paper is threefold. First, we review the results of [1] on a scaling limit for weakly pinned Gaussian random walks. Secondly, two different proofs, one based on the FKG inequality and the other relying on the renewal theory, are given for an exponential decay estimate on certain probabilities related to the random walks. This plays a crucial role to establish the large deviation principle. Finally, randomly pinned random walks are introduced.
Construction Companies and How They Acquire Knowledge through Business Interaction

By combining the two phenomena 'knowledge' and 'interaction', in terms of how they can vary in both intensity and content, this article attempts to deepen the understanding of the relationship between different types of interaction and learning, and, more specifically, how it appears within the construction industry. As an industry, construction displays some specific features in relation to interactional patterns that seem to hinder the establishment of more extensive long-term interactions. Through distinguishing between different types of interactions we discuss potential learning opportunities. The theoretical discussion is exemplified with empirical material from the construction industry that we glean from both earlier studies and from an ongoing investigation of Swedish construction firms. Our results indicate that there are different degrees of knowledge being transferred in the construction network, and that there are examples of close interaction where joint learning takes place. However, the organisational conditions characterising the construction industry seem to provide little incentive to invest inlong-term relationships, thus affecting what can be learned from others. This research project has been financial supported by the Swedish Construction Federation and The Jan Wallander and Tom Hedelius Foundation.
Living on the Edge: 28 Papers in Honour of Jonathan Kaye

This collection of papers by an international group of authors honors Jonathan Kaye's contributions to phonology by expanding some of Kaye's ideas to a variety of theoretical topics and languages. The set of ideas discussed or used in this collection includes: empty categories, licensing relationships and constraints, a restrictive two-levelled approach to phonology (without rule ordering or constraint ranking), a restrictive theory of syllabic representation (without the codas constituent and with exclusively binary branching), theories of the phonology-phonetics interface in which phonology is motivated independently of phonetics, and the metatheoretical flaws in a number of widely accepted but rarely questioned views on phonology.
Computer Simulations: A Tool to Predict Experimental Parameters with Cold Atoms

Abstract : Computer simulations are commonly used in the laboratory to support, facilitate, or optimize the experimental process. We present the use of two different software packages, COMSOL and LiveAtom, and explain how they assist us through the experimental procedure. Both programs perform finite element analysis to solve partial differential equations. COMSOL is a multiphysics simulation software that is very powerful and particularly useful for solving and visualizing physical problems. LiveAtom was specifically designed to work with cold atom systems and atom chips, and is already able to compute their key properties. We simulate our experimental parameters by combining the results of the two programs.
Reconfiguração de alimentadores em sistemas de distribuição usando uma metaheurística e espaço de busca reduzido

In this paper, Chu-Beasley’s specialized genetic algorithm will be used to solve the reconfiguration of distribuition system problem, which was modeled such as mixed integer nonlinear programming problem. In this work was defined a reduced search space to reduce the computational time of genetic algorithm of Chu-Beasley’ specialized to solve the reconfiguration of distribution systems problem. To evaluate the feasibility regarding constraints of the electrical power systems' operation, an algorithm for radial load flow was implemented to calculate these nodal tensions of these systems and, losses and currents of the system. Tests are presented using the systems of 14, 33, 84, 119 and 417 buses to avaluate the efficiency and robustness of the proposed method. The results were presented and compared to those found in the literature. Keyword: Reconfiguration of distribution systems. Reduced search space. ChuBeasley’s genetic algorithm. Distribution of electrical radial energy systems.
Identity-based reasoning about spatiotemporal change

Geographic Information Systems (GISs) are a special type of information system that store, convey, analyze, and manipulate geographic data. From their roots in modeling spatial aspects of the world, GISs are now being called upon to convey scenarios like those people experience everyday—i.e., scenarios that vary over time as well as space and involve phenomena that undergo change. Current GISs, however, require extensions in order to treat time and change and fall short of capturing the rich and often complex ways in which phenomena change. This thesis presents a systematic treatment of change as it applies to modeling the existence or non-existence of identifiable, discrete objects. It distinguishes the fundamental components of change that are independent of a particular scenario. This is achieved by developing a model of change based on the concept of tracking alterations to an object's identity. Identity distinguishes an object from all others, capturing an object's uniqueness and individuality. By developing such a model, this research effort highlights important semantics associated with these changes fundamental to those commonly experienced by geographic phenomena and modeled by researchers. The systematic approach to describing identity-based changes ensures that a complete set of change operations is distinguished. The results of this thesis show that an identity-based approach to modeling change captures additional semantics that are otherwise unobtainable by more traditional temporal database approaches. Furthermore, no spatial aspects need be explicitly represented with the identity-based model to achieve useful temporal reasoning about many scenarios of change. Instead, modeling changes to objects requires only dime basic elements: object identity; an ordering of change operations; and co-occurrence of identity states (i.e. simultaneous change). This frees modelers, for instance, from having to ground their representations to some time-line or from requirements for specification of detailed spatial or temporal aspects that might not be available or relevant to the task at hand.
Efficient Utilization of Fine-Grained Parallelism using a microHeterogeneous Environment

Heterogeneous computing environments use an assortment of high performance ma chines with different architectures in an attempt to most efficiently execute the various tasks that are required by an application. While this environment is very well suited for tasks such as image understanding, heterogeneous processing has key limitations which including the lack of support for fine-grained parallelism, the high communica tion overhead of moving tasks between machines, and the prohibitively high costs. The goal of this thesis is to propose a new computing paradigm, called microHeterogeneous computing or mHC, which incorporates PCI (or other high speed local system bus) based processing elements (vector processors, digital signal processors, etc) into a general purpose machine. In this manner the benefits of heterogeneous computing on scientific applications can be achieved while avoiding some of the lim itations. Overall performance is increased by exploiting fine-grained parallelism on the most efficient architecture available, while reducing the high communication over head and costs of traditional heterogeneous environments. Furthermore, mHC based machines can be combined into a cluster, allowing both the coarse-grained and fine grained parallelism to be fully exploited in order to achieve even greater levels of performance. An existing high performance computing API (GSL) was chosen as the interface to the system to allow for easy integration with applications that were previously developed using this API. The ensuing chapters will provide the motivation for this work, an overview of heterogenous computing, and the details pertaining to microHeterogeneous comput ing. The framework implemented to demonstrate a microHeterogeneous computing environment will be examined as well as the results. Finally, the future of micro Heterogeneous computing will be discussed.
EPIQ - A Meta-Computing Framework for Scalable, Responsive and Reconfigurable End-to-End Resource Management, and Agile Objects: Middleware for Survivable Information Systems

Abstract : The objective of the Quorum Program was to understand the basic principle and algorithms of middleware systems for Quality of Service-aware (QoS-aware) and survivable information systems. The EPIQ project aimed to develop a metacomputing framework for scalable, responsive, and reconfigurable end-to-end resource management. This meta-computing framework develops end-to-end QoS and resource management strategies that can be customized and integrated to provide guaranteed services of negotiated quality to time-critical C3I applications. Specifically, the framework provides end-to-end QoS and resource management to flexible applications and enables applications to adapt their quality if dynamic changes occur in requirements, demand on resources, and availability of resources. EPIQ multi-dimensional QoS and resource management mechanisms are application-independent, but permit integration with application-specific and user-oriented mechanisms, and give the user a crucial control in QoS, service and resource allocation adaptation, graceful degradation, and recovery. The QoS management and resource management framework is further expanded through off-line QoS programming and compilation environments to allow easy development of flexible multimedia applications within the framework. The framework validation is done through an open real-time, run-time environment that provides end-to-end, real-time performance computing and communication support for hard-real-time applications as well as end-to-end soft performance guarantees for soft real-time and flexible applications. (7 figures)
Creating an Electronic Database Selection Expert System.

The past decade has seen an explosion in the numbers and types of electronic information resources available to identify and retrieve articles and other information relevant to a scholar's research needs. Today library users are confronted with a myriad of online and CD-ROM bibliographic and full-text databases from which they are expected to select the one or ones most germane to their information needs. The task for the academic library is to facilitate the selection process. That many users are now accessing Library-provided menus and database lists from outside the Library and at hours when no library staff member is available to assist, makes the challenge that much more difficult. This presentation will describe the creation and initial testing of an online, prototype, end-user database selection tool developed at the University of Illinois at Urbana-Champaign (UIUC). We will detail the environment, issues, and concerns that gave rise to our project, it's relation to other work, and the approach we took and why. The prototype Web-based selection interface developed allows users to search for relevant databases by keywords and phrases taken directly from their search topics, by browsing librarian-assigned subject categories, and/or by identifying desired database characteristics. Behind this interface is an SQL database containing in-depth information about the characteristics of each database, including it's complete controlled vocabulary (when available) or an extensive sampling of controlled vocabulary terms (or equivalent information) drawn from actual records.
An Integrated Calibration Technique for Stereo Vision Systems (PREPRINT)

Abstract : This paper presents the integration and evaluation of two popular camera calibration techniques for stereo vision system development for motion capture. An integrated calibration technique for stereo vision systems has been developed. To demonstrate and evaluate this calibration technique, multiple Wii Remotes (Wiimotes) from Nintendo were used to form stereo vision systems to perform 3D motion capture in real time. This integrated technique is a two-step process: it first calibrates the intrinsic parameters of each camera using Zhang's algorithm and then calibrates the extrinsic parameters of the cameras together as a stereo vision system using Svoboda's algorithm. Computer software has been developed for implementation of the integrated technique, and experiments carried out using this technique to perform motion capture with Wiimotes show a significant improvement in the measurement accuracy over the existing calibration techniques.
Multi-objective optimization using grammatical evolution

Grammatical Evolution is a multidisciplinary tool for evolvoing grammar sentences. A Grammar formalism to generate optimization variables using Grammatical Evolution is presented. The use of this formalism in single and multi objective parametric opimization is demonstrated. Multi-objective grammatical evolution is achieved by replacing the Genetic Algorithm with the Non-dominated Genetic Algorithm II method. Optimization results with some non-trivial single and multi-objective test functions are presented.
A framework for rapid development of dynamic binary translators

Binary recompilation and translation play an important role in computer systems today. It is used by systems such as Java and . NET, and system emulators like VMWare and VirtualPC. A dynamic binary translator have several things in common with a regular compiler but as they usually have to translate code in real-time several constraints have to be made, especially when it comes to making code optimisations. Designing a dynamic recompiler is a complex process that involves repetitive tasks. Translation tables have to be constructed for the source architecture which contains the data necessary to translate each instruction into binary code that can be executed on the target architecture. This report presents a method that allows a developer to specify how the source and target architectures work using a set of scripting languages. The purpose of these languages is to relocate the repetitive tasks to computer software, so that they do not have to be performed manually by programmers. At the end of the report a simple benchmark is used to evaluate the performance of a basic IA32 emulator running on a PowerPC target that have been implemented using the system described here. The results of the benchmark is compared to the results of running the same benchmark on other, existing, emulators in order to show that the system presented here can compete with the existing methods used today. Several ongoing research projects are looking into ways of designing binary translators. Most of these projects focus on ways of optimising code in real-time and how to solve the problems related to binary translation, such as handling self-modifying code.
Neuroprosthetics theory and practice

Neuroanatomy and neurophysiology extracellular stimulation and recording - theory and models immunology materials for nerve stimulation and recording peripheral nerve and muscle - stimulation and recording electrodes and techniques CNS stimulation and recording electrodes and techniques existing FES systems and signal processing future FES systems/devices/brain-computer interfaces experimentation and device approval.
Learning Probabilistic Models via Bayesian Inverse Planning

• Inverse planning refers to the problem of learning a probabilistic model of the dynamics of a robot (or a human) by observing her optimal behavior performing a given task. • This work extends previous work on inverse reinforcement learning [Ng et Russell, 2000, Ramachandran & Amir, 2007, Baker et al., 2009] to the problem of learning a transition function when a reward function is given. •We show that inverse planning can be efficiently used for cooperative planning in teams of heterogenous robots.
Language Learnability and L2 Phonology: The Acquisition of Metrical Parameters

Introduction. One: Developing a Theory of Language Acquisition. Two: Metrical Phonology. Three: Acquisition of L1 Stress. Four: Research Methodology. Five: The Polish Study. Six: The Hungarian Study. Seven: Comparing the Polish & Hungarian Studies. Eight: Language Teachability. Nine: Summary. References. Appendix A, B, C, D. Name Index. Subject Index.
An Efficient Localization Algorithm for Mobile Robots in RFID Sensor Space

This paper proposes an efficient localization algorithm in the RFID sensor space for the precise localization of a mobile robot. The RFID sensor space consists of embedded sensors and a mobile robot. The embedded sensors, that is tags are holding the absolute position data and provide them to the robot which carries a reader and requests the absolute position fur localization. The reader, it is called as antenna usually, gets several tag data at the same time within its readable range. It takes time to read all the tags and to process the data to estimate the position, which is a major factor to deteriorate the localization accuracy. In this paper, an efficient algorithm to estimate the position and orientation of the mobile robot as quickly as possible has been proposed. Along with the algorithm, a new allocation of the tags in the RFID sensor space is also proposed to improve the localization accuracy. The proposed algorithms are demonstrated and verified through the real experiments.
Experiência musical de jovens com o choro na cidade de Porto Alegre: um projeto etnográfico de integração entre escola e universidade

Esta comunicação irá discutir os resultados da segunda fase da pesquisa que investiga a relação dos jovens instrumentistas porto-alegrenses com a prática do Choro através de uma imersãoetnomusicológica e netnográfica no ciberespaço, em sites como o youtube e em plataformas de interação social (Myspace, Orkut). Serão analisados os processos de transmissão e circulação musicais na internet, bem como a divulgação e comercialização de carreiras em espaços virtuais, pontos cruciais para o entendimento das práticas musicais e dos jovens instrumentistas porto-alegrenses.
Interchanging knowledge and experiments in a learning community in a view of collaborative work

In this work we describe and analyze an experiment based in a programme of permanent seminars – e-DCET organized with the objective of developing practices of collaborative work inside the Departamento de Ciencias Exactas e Tecnologicas (Universidade Aberta Portugal), valuing the active sharing of pedagogic practices and knowledge at a variety of levels. Various themes were discussed and analyzed, among them we highlighted some experiences of online teaching in formal and non-formal contexts, user management in Moodle LMS, news from international e-learning meetings, visual representations and teaching chemistry online, pseudo-code as a communication language using Notetab and interactive materials in teaching mathematics.
UNIFIED PERFORMANCE ANALYSIS OF SEVERAL MULTICARRIER RAYLEIGH FADING CHANNELS SPREAD-SPECTRUM MULTIPLE-ACCESS SYSTEMS IN CORRELATED

A security device for vehicle tanks is provided which automatically assures the closing of tank valves when the tank is being filled or emptied and the vehicle is subjected to accidental displacement or other movement. The devie includes a vehicle displacement detector assembly comprising an oscillating arm which contacts either the ground or an element which moves the vehicle. Movement of this assembly, in turn, drives a transmission assembly, which is activated by the displacement of a roller driven by an oscillation shaft of the detector assembly. This transmission assembly is, in turn, connected to and controls a tank valve control.
Binary and finer discretized time series generated by logistic chaotic maps

Discretization of the logistic chaotic map to binary and finer alphabets is investigated, motivated by potential use in chaos-based communication systems. Results are reported on the ensuing dependency and independency of the alphabet sequences. Binary results are expressed in terms of a parameter representing the balance of probabilities. Developments to multiple binary discretizations and to finer discretizations with uniformly distributed alphabet sequences, are presented. This latter type of process is shown to posses a form of local independence, but not full independence.
The Mathematical Olympiad Handbook: An Introduction to Problem Solving Based on the First 32 British Mathematical Olympiads 1965-1996

PROBLEMS AND PROBLEM SOLVING HOW TO USE THIS BOOK A LITTLE USEFUL MATHEMATICS INTRODUCTION NUMBERS ALGEBRA PROOF ELEMENTARY NUMBER THEORY GEOMETRY TRIGONOMETRIC FORMULAE SOME BOOKS FOR YOUR BOOKSHELF THE PROBLEMS HINTS AND OUTLINE SOLUTIONS APPENDIX: THE INTERNATIONAL MATHEMATICAL OLYMPIAD: UK TEAMS AND RESULTS 1967 - 1996
Development of User-Centered Context Awareness System

Recently, a smart space with Ubiquitous Environment is expanding rapidly due to the development of Ubiquitous Sensor Network. Therefore, more appropriate and intelligent services of the context awareness system is being required. The previous context awareness system can provide a service to the user through the inference only on the current situation. But, it does not handle certain situation properly when the system provides abnormal result. Also it does not have any proper method of generating reliable semantic data from sensed raw data. In this paper, we are trying to solve the problems as the following approaches. First, the system recognizes abnormal result and corrects it by learning feedback from the user. Second, we suggest a method of converting sensed data into more reliable semantic data. Third, we build the system based on an Ontological context model that is capable of interoperability and reusability. Therefore, the context awareness system of our study can enhance the previous system that can generate more reliable context data, can provide more effective inference method, and can provide more intelligent system structure.