Miracle-dz/UniFAR-FTUs huggingface dataset:
Circuitos integrados de radio-recepção para a operação de multiplexação espacial de antenas em tempo real

Esta pesquisa tem por objetivo a concepcao de novas topologias de circuitos integrados e suas caracterizacoes para operacao em sistemas de radio-recepcao. O projeto e a fabricacao de chaves de RF, LNAs, mixer e VCOs sao apresentados. A tecnica SMILE (Spatial MultIplexing ofLocal Elements) foi adotada devido as suas vantagens e funcionalidade para a otimizacao fisica de antenas inteligentes. Essa tecnica requer um chaveamento sequencial das antenas do arranjo e para tal foi desenvolvido um controle de chaveamento acionado por um VCO digital. A demultiplexacao analogica do sinal e implementada atraves de um OTA e chaves analogicas diferenciais. Assim, alem da introducao de novas topologias de circuitos integrados, este trabalho estabelece procedimentos de projeto e simulacao associados a validacao dos dispositivos fabricados. Palavras-chave: circuitos integrados, radio-recepcao, antenas inteligentes, SMILE Abstract
Prosodic morphology : constraint interaction and satisfaction

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Cl. Subcarrier Gain basedPower Allocation in Multicarrier Systems

The Orthogonal Frequency Division MuItiplexing (OFDM) transnussIOn scheme is the optimum version of the muIticarrier transmission scheme which has the capability to achieve high data rate transmission. The key issue of OFDM system is the allocation of bit and power over number of subcarriers. In this paper, a new power allocation algorithm based on subcarrier gain is proposed to maximize the bit rate. For OFDM system, the subcarrier gain based power allocation (SGPA) algorithm is addressed and compared with the standard greedy power allocation (GPA). We demonstrate by analysis and simulation that the proposed algorithm greatly reduces the computational complexity and achieves near optimal performance in maximization the bit rate over number of subcarrier.
Kerberos authentication and authorization system

This document describes the assumptions, short and long term goals, and system model for a network authentication system, named Kerberos, for the Athena environment. An appendix specifies the detailed design and protocols to support these goals, and a set of 1 UNIX manual pages, not included here, describes an implementation for Berkeley 4.3 UNIX of both user interface commands and also library interfaces for clients and servers. The next section of the technical plan, E.2. 2, describes a set of network applications that use Kerberos for authentication.
Speaker Identification for Channel Mismatching Condition using Hindi Language

This paper shows the result of Gaussian mixture model (GMM), when Hindi sentences are recorded in two Samsung mobiles (Samsung galaxy Trend, model No. S 7392) having same cost. A call is made by one mobile to another mobile for recording the voice of each speaker via wireless channel. Recording is done simultaneously in both the devices, in first one via built in headphone at transmitter end and in second one via wireless channel at receiver end. Sampling rate is set to be 8 KHz in both the cases. Several results are observed on matched and mismatched condition like training with transmitter end recorded speech and testing with receiver end recorded speech. MFCC is showing improvement in results as compare to LPC in all the cases. When trained with transmitter end Hindi database, there are 16.11 % and 12.54% increase in identification rate in matching condition as compare to mismatching condition for MFCC and LPC respectively. In case of training with receiver end database, there are 25.68 % and 30.68% increase in identification rate in matching condition as compare to mismatching condition for MFCC and LPC respectively Keywords—GMM, MFCC, LPC, Speaker Identification, Features vectors
A taxonomy of Multimodal Interaction in the Human Information Processing System

This document has been prepared in the ESPRIT BRA No. 8579, Multimodal Integration for Advanced Multimedia Interfaces — in the following referred to as MIAMI — in order to serve as a basis for future work. The basic terms which will be used in MIAMI will be defined and an overview on man-machine-interfaces will be given. The term " taxonomy " is used in the following sense, adapted from [217]: " 1: the study of the general principles of scientific classification: SYSTEMATICS; 2: CLASSIFICATION; specif: orderly classification of plants and animals according to their presumed natural relationships " ; but instead of plants and animals, we attempt to classify input and output modalities.
Feedback Control Problems Using MATLAB and the Control System Toolbox

From the Publisher: This book is a supplement for any standard control systems text. It serves to reinforce the learning process for those who are studying introductory aspects of control systems. The authors accomplish this by teaching the use of MATLAB® and its CONTROL SYSTEM TOOLBOX to rapidly solve a wide range of numerical problems. This book also provides the user with opportunities to apply techniques of linear system analysis, which forms the basis for the analysis and design of feedback control systems. This approach frees the user from the laborious calculations required to solve meaningful problems, thus allowing him or her to concentrate on interpreting the analysis and design results. Topical coverage includes both classical control design method and state-space models and design methods. Some specific topics covered are root-locus plots, frequency-response analysis, system performance, proportional-integral-derivative control, and frequency-response design. This updated printing revises the book and code examples (available for downloading from the Brooks/Cole Web site) to MATLAB® V5.
Identifikasi Pembicara Menggunakan Algoritme VFI5 dengan MFCC sebagai Pengekstraksi Ciri

Voting Feature Instervals (VFI) 5 memiliki akurasi yang cukup tinggi dalam mengklasifikasikan data berbasis teks dan citra. Berdasarkan hal tersebut dikembangkanlah metode identifikasi pembicara menggunakan algoritme VFI5 dengan Mel Frequency Ceptrum Coefficients (MFCC) sebagai pengekstraksi ciri suara untuk melihat keakuratan algoritme VFI5 dalam mengklasifikasikan data berbasis suara. Jenis identifikasi pembicara pada penelitian ini bersifat tertutup dan bergantung pada text. Pada penelitian ini juga dilakukan percobaan menggunakan suara ber-noise untuk melihat kehandalan VFI5 dalam mengklasifikasikan suara ber-noise. Dari hasil pengujian didapatkan bahwa metode yang telah dikembangkan ini memiliki akurasi cukup tinggi dengan akurasi tertinggi sebesar 97% untuk data suara tanpa noise. Selain itu juga diketahui bahwa jumlah data latih yang optimal untuk menghasilkan akurasi yang tinggi adalah 11. Sedangkan untuk suara bernoise dengan SNR sebesar 30 dB, akurasi tertinggi mencapai 81,5 % dan untuk suara bernoise dengan SNR sebesar 20 dB tingkat akurasi tertinggi mencapai 59 %.
Sage++: An Object-Oriented Toolkit and Class Library for Building Fortran and C++ Restructuring Tool

Sage++ is an object oriented toolkit for building program transformation and preprocessing tools. It contains parsers for Fortran 77 with many Fortran 90 extensions, C, and C++, integrated with a C++ class library. The library provides a means to access and restructure the program tree, symbol and type tables, and source-level programmer annotations. Sage++ provides an underlying infrastructure on which all types of program preprocessors can be built, including parallelizing compilers, performance analysis tools, and source code optimizers.
Multimedia information retrieval : theory and techniques

A cultural and theoretic context for MMIR theory Scientific principles of MMIR Processing and indexing of digital multimedia documents MMIR's methodology in the context of library and information science Definition of multimedia information retrieval methodology The current status of MMIR systems Exemplifications of functioning of the MMIR system MMIR techniques and technologies The integration of MMIR modalities.
Poster: A Real-Time Physical Therapy Visualization Strategy to Improve Unsupervised Patient Rehabilitation

Rehabilitation is a lengthy and difficult process. Despite the speed with which physicians can diagnose an injury, for full recovery patients must regularly meet with their physical therapist (PT) as well as daily perform their prescribed, unsupervised exercise routine. PTs usually give their patient simple diagrams, sketches, and text-based instructions to assist them in recalling and correctly executing each exercise. With these limited tools, patients often rely on memory to recall complex sets of exercises. If an exercise is remembered incorrectly, months may pass before an appointment with the PT corrects the motion. This process results in significantly longer recovery times, taxing both the health care system and the patient’s motivation to recover. Interactive visualization tools can fill a current need for providing real-time corrective feedback to patients as they exercise, however, several research challenges remain in designing effective motion tracking and visual feedback strategies for these tools. This poster presents the design, implementation, and lessons learned in developing a real-time feedback visualization for squat exercises, which are commonly used in a variety of rehabilitation settings.
EXTREME STRESSES ON GENERATOR CIRCUIT BREAKERS

SUMMARY The operation of generator circuit breakers, located between generator and step-up transformer, is associated with extreme stresses due to the conduction and interruption of very large current, both in normal (up to 50 kA) as well as in fault situations (up to 200 kA). Moreover, after interruption, very severe transient recovery voltages appear across the breaker. This contribution discusses the technical solutions that are involved in the design and testing of generator circuit breakers, by example of a newly developed and certified generator circuit breaker for 28,000 – 50,000 A nominal current and 210 kA short-circuit current, for generating units up to 2000 MW. Key issues here are fault current commutation inside the breaker chamber and reduction of conductive heat losses. In addition, the actual standardisation status is described, along with the fault scenarios that are envisaged. Adequate test circuits, procedures and results, both for short-circuit test duties as well as for conductive heat loss evaluation are described.
Aspects of cache memory and instruction buffer performance

Techniques are developed in this dissertation to efficiently evaluate direct-mapped and set-associative caches. These techniques are used to study associativity in CPU caches and examine instruction caches for single-chip RISC microprocessors. This research is motivated in general by the importance of cache memories to computer performance, and more specifically by work done to design the caches in SPUR, a multiprocessor workstation designed at U.C. Berkeley. The studies focus not only on abstract measures of performance such as miss ratios, but also include, when appropriate, detailed implementation factors, such as access times and gate delays. The simulation algorithms developed compute miss ratios for numerous alternative caches with one pass through an address trace, provided all caches have the same block size, and use demand fetching and LRU replacement. One algorithm (forest simulation) simulates direct-mapped caches by relying on inclusion, a property that all larger caches contain a superset of the data in smaller caches. The other algorithm (all associativity simulation) simulates a broader class of direct-mapped and set-associative caches than could previously be studied with a one-pass algorithm, although somewhat less efficiently than forest simulation, since inclusion does not hold. The analysis of set-associative caches yields two major results. First, constant factors are obtained which relate to the miss ratios for set-associative caches to miss ratios for other set-associative caches. Then those results are combined with sample cache implementations to show that above certain cache sizes, direct-mapped caches have lower effective access times than set-associative caches, despite having higher miss ratios. Finally, instruction buffers and target instruction buffers are examined as organizations for instruction memory on single-chip microprocessors. The analysis focuses closely on implementation considerations, including the interaction between instruction fetches, instruction prefetches and data references, and uses the SPUR RISC design as the case study. Results show the effects of varying numerous design parameters, suggest some superior designs, and demonstrate that instruction buffers will be preferred to target instruction buffers in future RISC microprocessors implemented on single CMOS chips.
Dealing with Mixed-language Abilities in an English-Medium University Content Course

Recently many universities in Japan have been increasing the number of content classes offered in English. From a teaching perspective, these classes come with a variety of challenges related to teaching university level content to groups of EFL students with very different individual the linguistic abilities. These challenges are further complicated when the classes are also offered to native-speakers of English. This paper aims to address some of these problems, and offer some solutions in the form of activities that were developed for a specific course at a university in Tokyo
The Challenge of the Computer Utility

The solution to get this book is that we don't over you the free book. But, we offer you the free information about challenge of the computer utility. Why should be this book to read and where is the place to get it, even the soft file forms are common questions to utter. In this website, we don't only provide this book. We have still lots of books to read. Yeah, we are on-line library that is always full of recommended books.
Adaptive unscented Kalman filter for parameter and state estimation of nonlinear high-speed objects

An adaptive unscented Kalman filter (AUKF) and an augmented state method are employed to estimate the time-varying parameters and states of a kind of nonlinear high-speed objects. A strong tracking filter is employed to improve the tracking ability and robustness of unscented Kalman filter (UKF) when the process noise is inaccuracy, and wavelet transform is used to improve the estimate accuracy by the variance of measurement noise. An augmented square-root framework is utilized to improve the numerical stability and accuracy of UKF. Monte Carlo simulations and applications in the rapid trajectory estimation of hypersonic artillery shells confirm the effectiveness of the proposed method.
Optimisation of neural models for speaker identification

An approach to speaker recognition based on feedforward neural models is investigated. Each person known to the system has a personalized neural net that is trained to be active for only that person's speech. By including speech from many people in the training data of each net this approach can directly model differences in people's speech. The chosen architecture and amount of training performed is shown to strongly affect the recognition performance. Large models with two hidden layers are shown to be inferior to models with only a single hidden layer and fewer weights. Recognition performance is shown to be comparable to that of a vector quantization approach based on personalized codebooks. The neural approach outperforms the codebook system for small model sizes but does slightly less well for larger models. A multitransputer implementation used in the training phase is described. Near linear speedup is obtained by splitting the training data to given independent subtasks, and a dynamic allocation scheme is used to assign these tasks to processors. <<ETX>>
La Navegación Textual en el contexto del aprendizaje de lenguas

In this paper, we present first our approach of text navigation conceived like a cognitive process, which exploits navigation-specific knowledge. We draw up the hypothesis that such knowledge can be designed in a declarative way with our language Sextant. Since this language refers to text constituents and its characteristics exhaustively, a text model specific to our approach is proposed. Second, we present the application of text navigation to the learning of French as a foreign language. Hypotheses, connected to text linguistics, are exposed. Then, we describe the e-learning system NaviLire, built up upon the text navigation system NaviText. Experimentation with NaviLire and its results are described.
Acoustic recognition component of an 86000-word speech recognizer

Recent results obtained with a hidden Markov model (HMM)-based acoustic recognizer using a virtually unlimited vocabulary (86000 words) to perform speaker-dependent isolated-word recognition are described. The task domain of this recognizer is quite general, consisting of paragraphs read from various newspapers, books, and magazines. The results of a comparative acoustic recognition study using various types of HMMs and various amounts of training data (from 700 to about 4000 words) are presented. The models explored include context-dependent allophonic HMMs (including generalized diphone and triphone models with unimodal Gaussian output densities) and context-independent phonemic HMMs (using either unimodal or mixture densities). Experimental results indicate that phonemic HMMs with many components in the mixture output densities provide the highest acoustic recognition accuracy. The acoustic recognition accuracy for a total of about 7000 test words spoken by four male and five female speakers is 82%. Recognition accuracy after application of the language model increases to 92%. <<ETX>>
Determination of An Optimal Return-Path on Road Attributes for Mobile Robot Recharging

Optimal path-planning for mobile robot recharging is a very vital requirement in real applications. This paper proposes a strategy of determining an optimal return-path in consideration of road attributes which include length, surface roughness, road grade and the setting of speed-control hump. The road in the environment is partitioned into multiple segments, and for each one, a model of cost that the robot will pay for is established under the constraints of the attributes. The cost consists of energy consumption and the influence of vibration on mobile robot that is induced by motion. The return-path is constituted by multiple segments and its cost is defined to be the sum of the cost of each segment. The idle time, deduced from the cost, is firstly used as the decision factor for determining the optimal return-path. Finally, the simulation is given and the results prove the effectiveness and superiority of the strategy.
Robust mobile robot localization: from single-robot uncertainties to multi-robot interdependencies

A protective faceshield is provided with head gear in which the head band may be positively adjusted to the proper size by an operator grasping and squeezing the head band with the fingers of one hand. One head band member is provided with a plurality of cam members which cooperate with the holes to provide a unidirectional slip adjustment in one direction and a positive locking in the opposite direction. The head band includes at the ends thereof apertured bosses for receiving corresponding studs of the head gear in a tight press fit to permit the head band to be popped from the head gear to facilitate ready replacement in the field. The head gear is pivotally attached to the crown, which pivotal attachment includes apparatus for providing a plurality of stop locations of the crown relative the head gear and which includes an overriding bevel or cam pin to permit the adjusting elements to slide past the stop in one direction and be positively stopped in the other direction to prevent excessive downward movement of the window.
Design Of Tracing Accidental Vehicle By Using Gps And Mems Accelerometer

This paper discusses a kind of design on tracing accidental vehicle by using GPS & MEMS accelerometer. An ultrasonic sensor is used to detect the obstacle in front of the vehicle and the vehicle gets stopped if any obstacle is detected. This may avoid accidents due to collision of vehicles with any obstacles. The accidental vehicle uses the ARM microcontroller LPC2148 as a control unit to combine with a GPS device and a GSM module. In tracing accidental vehicle, we use a global positing system (GPS) technology for locating the vehicle. With signals from an accelerometer, a severe accident can be recognized. When vehicle meets with an accident immediately, wireless device will send mobile phone short message indicating the position of the vehicle by the GPS system to authorized person, ambulance and police. If the person meets with a small accident or if there is no serious threat to anyone’s life, then the alert message can be terminated by the driver by a command provided in order to avoid wasting the valuable time of the authorized person, ambulance, and police.
A Study of Research Tools and Techniques in Network Congestion Control

The major requirement of Computer Network Research and development process is to design a new protocol or algorithm and in further steps to validate and verify their correctness of action and their deployment feasibility. We have several tool and techniques which are available for the research in the area of computer network congestion control. The purpose of this study is to explore various possible research tools and techniques available for congestion control in computer network.