Miracle-dz/UniFAR-FTUs huggingface dataset:
Site diversity effect on forward link performance under unequal cell loading in DS/CDMA

Forward link analysis under SIR based power control that quantitatively describes the effect of unequal cell loading, path loss slope, target Eb/No, and handoff threshold T-ADD on wireless direct sequence code division multiple access (DS/CDMA) spread spectrum systems is presented. A maximal ratio combining (MRC-2, MRC-3) site diversity scheme is used to compare system performance for unequal number of cell users, 10 and 15 respectively. About 2.4 times home cell users increase is shown in MRC-3 unequal cell loading as compared with the equal cell loading. In both cases of MRC-2 and MRC-3, T-ADD impact is negligible in equal cell loading. For equal cell loading, average MRC-3 capacity is 1.2 times larger than that of MRC-2.
SOM-based Peptide Prototyping for Mass Spectrometry Peak Intensity Prediction

In todays bioinformatics, Mass spectrom- etry (MS) is the key technique for the identification of pro- teins. A prediction of spectrum peak intensities from pre computed molecular features would pave the way to bet- ter understanding of spectrometry data and improved spec- trum evaluation. We propose a neural network architecture of Local Linear Map (LLM)-type based on Self-Organizing Maps (SOMs) for peptide prototyping and learning locally tuned regression functions for peak intensity prediction in MALDI-TOF mass spectra. We obtain results compara- ble to those obtained by -Support Vector Regression and show how the SOM learning architecture provides a basis for peptide feature profiling and visualisation.
A VLSI implementation of a neuromorphic network for scene segmentation

A VLSI implementation of a network of locally coupled oscillators for scene segmentation is presented. The circuit is based on LEGION (locally excitatory, globally inhibitory, oscillator network) algorithm and significant simplifications were made in order to reduce the silicon area overhead. We present the circuits for an analog VLSI implementation of the algorithm in a reduced area. The ability of the proposed implementation to segmentate simple images using oscillatory correlation is shown.
Feedback linearizing control

In this chapter, the basic theory of feedback linearization is presented and issues of particular relevance to process control applications are discussed. Two fundamental nonlinear controller design techniques — input-output linearization and state-space linearization — are discussed in detail. The theory also is presented for linear systems to facilitate understanding of the nonlinear results. Extensions are presented for disturbances and multivariable processes. Advanced topics such as dynamic feedback linearization, time delay compensation, constraint handling, robustness, and sampled-data systems are also discussed. A survey of process control strategies and applications shows that: (1) a variety of nonlinear controller design techniques are based on input-output linearization; (2) few experimental studies of these techniques have been presented; and (3) many important problems remain unsolved. To illustrate design and implementation issues, feedback linearizing controllers are developed for three representative processes: a continuous stirred tank reactor, a continuous fermentor, and a pH neutralization system. This chapter differs from existing reviews [69, 83, 90, 95, 99, 100, 126, 134] of feedback linearization by providing a balanced discussion of theoretical and practical issues of interest to process control engineers.
Spotlight SAR image generation based on strip mode focusing techniques

The authors present a new solution for spotlight SAR data processing based on strip mode focusing techniques. The starting point of the proposed approach is a strip mode azimuth compression operation carried out on the raw signal; this operation produces a sequence of azimuth compressed images of the illuminated area, each one corresponding to one replica of the folded azimuth spectrum and therefore referred to as image replicas. Following this operation the residual focusing of each image replica is independently performed via a standard strip mode processing approach carried out up to the final inverse azimuth Fourier transform; the unfolded azimuth spectrum is finally computed by combining the spectra of the focused image replicas and an overall azimuth inverse FT allows to achieve the fully focused spotlight image. Presented experiments confirm the validity of the proposed approach.
Interfacing parallel scientific applications with multiple visualization systems: The CUMULVS approach

As high-performance computer simulation increasingly replaces more expensive and time-consuming conventional alternatives, namely physical prototyping/experimentation, it becomes important to provide mechanisms for interacting with parallel or distributed simulation programs. Such interactive exchanges can close the loop on simulation experiments by providing visualization of intermediate results and then allowing scientists to respond by manipulating the simulation, while it is running. This type of visualization and computation steering feedback system can dramatically shorten the experimental cycle by pruning off experiments that are quickly seen to be undesirable. Further, such interaction can provide enhanced capabilities for what if analyses, even beyond what would be possible in a physical environment. This approach also introduces new forms of collaboration, by allowing multiple remote collaborators to cooperate and interact via the running simulation programs, each person exploring their own view of the data and then sharing their understanding with the group. The CUMULVS (Collaborative User Migration User Library for Visualization and Steering) system is a middleware library infrastructure that allows multiple, potentially remote, scientists to monitor and coordinate control over a parallel simulation program. Using CUMULVS, various front-end viewers can dynamically attach to a simulation to view snapshots of the ongoing computation, or manipulate (steer) parameters of the simulation, and then detach. The snapshots of intermediate data array values can be rendered using a variant of visualization systems, including AVS, Tcl/Tk, and VTK, or as simple text dumps. CUMULVS provides the interfacing between the simulation tasks and the visualization systems, and transparently handles the viewer connection protocols and the data collection required for decomposed or distributed data. CUMULVS also provides mechanisms for developing fault-tolerant applications in heterogeneous distributed computing environments.
A low IF GMSK modem architecture with joint symbol timing recovery and frequency offset compensation

This paper records our work in developing a GMSK modem with joint symbol timing recovery and frequency offset compensation capability. The received RF signal is first down converted to a low IF and then converted to complex baseband by a digital complex sampler. This baseband signal is then frequency discriminated and passed through a digital filter which in fact performs a fast Fourier transform (FFT). In other words, we apply an FFT algorithm on the frequency discriminated baseband signal in order to estimate symbol timing error and frequency offset simultaneously. The frequency offset can be estimated from the DC component of the FFT and the symbol timing error can be estimated from the phase angle of the FFT at a specified frequency which is equal to an integral multiple of half the bit rate. These two estimated parameters are then used for symbol timing recovery and frequency offset compensation. The bit error rate (BER) performance of our GMSK receiver architecture is assessed for an AWGN channel by computer simulation.
Learner-Centered Design: Reflections and New Directions

An Overview of Learner-Centered Design. Audience: Who Are "Learners"? LCD Problem: The Conceptual Gap between Learner and Work. Bridging the Learner-Centered Conceptual Gap: Designing for Learners. Open Issues In Designing Learner-Centered Tools. Issues in Learner-Centered Work and Task Analysis. Issues in Learner-Centered Requirements Specification. Issues in Learner-Centered Software Design. Issues in Learner-Centered Software Evaluation. Conclusion.
Bayesian mixture modeling and outliers in inter-laboratory studies

Inter-laboratory studies (especially so-called Key-Comparisons) are conducted to ensure measurement capability for commerce and to evaluate both national and international equivalence of measurement. In these studies, a reference value of some measurand (the underlying quantity subject to measurement) is developed and results for all labs are compared to this single value. How to determine the reference value is not completely obvious if there are observations and/or labs that could be considered outliers. Since ignoring results from one or more participating laboratories is untenable in practical terms, developing methods that are robust to the possibility that a small fraction of the labs produce observations unlike those from the others is critical. This paper outlines two Bayesian methods of analyzing inter-laboratory data that have been proposed in the literature and suggests three modifications of one that are more robust to outliers. A simulation study is conducted to compare the five methods.
Application of parallel computing technology OpenMP to search for the generator polynomials

The paper deals with the application of parallel computing technology OpenMP to search for the generator polynomials. Forming the task of finding polynomials to create polynomial block codes is quite laborious. For example for generator polynomial, on which basis the fail-safe code (m = 32, t = 3), you need two weeks of continuous work program on the processor Intel XEON 5150 with a core clock of 2.66 GHz and RAM 1 GB. The article describes the search algorithm forming polynomials, which are constructed on the basis of codes more efficient than Bose-Chaudhuri-Hocquenghem codes. The article describes the ability to form the polynomials and analyzed in terms of the possibility of using parallel computing technology OpenMP. Computer experiment was delivered to compare the performance of software implementations with and without the OpenMP. Results supplied by the computer experiment to study the performance of sequential and parallelized implementations of the search algorithm polynomials showed that the usage of OpenMP technology allows under certain input parameters (m = 9, t = 2) to increase the speed of 20-24 times. On average, using of OpenMP algorithm enhances performance up to 3 times.
Motion correction for functional magnetic resonance images

﻿ This work addresses the distortions in Functional Magnetic Resonance Images (FMRI) caused by subject motion. FMRI is a non-invasive technique which shows great promise in providing researchers and clinicians with neurological information both about healthy subjects and clinical patients by mapping functional activation within the brain using Echo Planar Imaging (EPI). If reliable information is to be obtained from these images, motion correction must be carried out in order to remove or suppress the artefacts arising from subject movement. This work begins by using exploratory data techniques to describe these artefacts so that they can be characterised according to their origin and spatio-temporal manifestation. Based on testing of the accuracy and consistency of existing rigid-body motion correction methods on FMRI data, a new registration algorithm Motion Correction using the FMRIB Linear Image Registration Tool (MCFLIRT) has been developed. It is shown that while MCFLIRT is both more accurate and more robust than previous methods, rigid-body registration schemes in general cannot completely remove the distortions associated with motion and so subsequent analysis of the images may still be inaccurate. Furthermore, it is demonstrated that failure to use a sufficiently detailed model of subject motion in FMRI can in fact lead to degradation of the images through the use of existing motion correction algorithms. Based on these findings, alternative schemes including non-rigid registration and adaptive real-time methods are evaluated. Leading on from this investigation, a framework for Temporally-Integrated Geometric EPI Realignment (TIGER), incorporating both spatial and temporal information about the images, is proposed. An implementation based on this novel modality-specific model is developed and tested against existing rigid-body registration methods. Results show that this new approach is able to achieve significantly more accurate results than previous methods. The quality of correction provided by this new approach brings more subtle artefacts in the data to the fore, suggesting a number of avenues of further research in this area. These are outlined in the final chapter of the thesis.
RESIDUAL TYPES IN TIME SERIES AND THEIR APPLICATIONS

Residual types in time series has not been investigated throughly in literature. This study aims to provide practical applications of residual types. In this study, firstly, basic information about different types of residuals was given and some features of the residuals were investigated with numerical applications . Then a simulation study was conducted to show differences in decisions when different residual types were considered in diagnostic checking.
A new approach to the design of low-sensitivity high-resolution bandpass /spl Sigma/-/spl Delta/ A/D converters

It is well known that /spl Sigma/-/spl Delta/ A/D converters having complementary signal and noise transfer functions exhibit high signal-to-quantization-noise ratios (SQNRs) and high dynamic ranges (DRs), but that they tend to be overly sensitive to capacitor mismatches (potentially leading to unstable converter operation) in a corresponding switched-capacitor (SC) hardware implementation. Recently, a new class of /spl Sigma/-/spl Delta/ A/D converters was developed based on magnitude-squared or magnitude complementary signal and noise transfer functions to decrease the sensitivity to capacitor mismatches at the expense of slightly lower SQNRs and DRs. This paper is concerned with the development of a novel approach to the design of /spl Sigma/-/spl Delta/ A/D converters. This approach combines the transfer function complementarity (in the overall frequency band) with signal and noise transfer function magnitude complementarity (in the signal passband) to obtain a single /spl Sigma/-/spl Delta/ A/D converter with a cascade-of-resonators configuration. Consequently, the resulting A/D converters achieve not only high-stability (arising from magnitude complementarity), but also high DR and SQNR (arising from transfer function complementarity) in the SC hardware implementation. A practical application example is given to illustrate the results.
Adaptive neuro-fuzzy controller for navigation of mobile robot

Fuzzy systems are able to treat uncertain and imprecise information; they make use of knowledge in the form of linguistic rules. Their drawbacks are caused mainly by the difficulty of defining accurate membership functions and lack of a systematic procedure for the transformation of expert knowledge into the rule base. Neural networks have the ability to learn but with some neural networks, knowledge representation and extraction are difficult. First, we consider a rule based fuzzy controller and a learning procedure based on the stochastic approximation method. The radial basis function neural network is then considered and it is shown that a modified form of this network is identical with the fuzzy controller which may thus be considered as a neuro-fuzzy controller. Numerical examples are presented to demonstrate the validity of the approach and it is shown that such an adaptive neuro-fuzzy system is successful in the control of a mobile robot.
Physical Modeling of Hybrid Systems with Rand Model Designer

Abstract New visual environment Rand Model Designer developed by MvStudium Group for modeling and simulation of complex dynamical system is presented. Modeling language of the tool is based on object-oriented approach and maintains component modeling with oriented (“causal” modeling) and non-oriented (“physical” modeling) components with hybrid (event-driven) behavior. Problems of performing current final systems of algebraic-differential equations for “physical” hybrid models, using structural analysis for modeling (identification of “unsolvable” systems) and simulation (computation speed) are considered.
Ranking with Kernels in Fourier space.

In typical ranking problems the total number n of items to be ranked is relatively large, but each data instance involves only k << n items. This paper examines the structure of such partial rankings in Fourier space. Specifically, we develop a kernel–based framework for solving ranking problems, define some canonical kernels on permutations, and show that by transforming to Fourier space, the complexity of computing the kernel between two partial rankings can be reduced from O((n−k)! ) to O((2k)).
Dual-axis Maglev guiding system modeling and controller design for wafer transportation

We extend our previous result (1999) on designing a single-axis Maglev guiding system into a more involved work of designing a dual-axis positioning system. First of all, important issues on how to construct the mechanism of the dual-axis positioning system are addressed, Then, the dynamics of the dual-axis Maglev guiding system are analyzed. According to the derived analytic model, which is subject to unknown system parameters, an adaptive controller that can control the wafer carrier at the desired target point of each axis with full alignment is developed. From the simulation results, good performance of regulation for the guiding-axis and of tracking for the positioning-axis is achieved.
Learning in Massively Multiplayer Online Games

Given their increasing domination of the entertainment industry and wide spread popularity among a wide range of populations, massively multiplayer online videogames (MMOGs) are quickly becoming the form of entertainment and a major mechanism of socialization. Researchers have taken notice, and educational MMOGs are now beginning to emerge; however, there is a paucity of research on the actual culture/cognition of MMOGameplay, despite its necessity for sound theory and viable design. This paper outlines an ongoing cognitive ethnography of a currently thriving MMOG. Using discourse analytic methods, this project is developing a "thick description" (Geertz, 1973) of naturally-occurring gameplay, paying particular attention to the forms of socially and materially distributed cognition that emerge, the learning mechanisms embedded within community practice, and the ways in which participation shapes and is shaped by the situated (on-and off-screen) identities of its members. After outlining the data collection and analysis methods used, I present an illustrative analysis of selected data and preliminary findings specific to learning within this new virtual space for play.
Methods for Meta-Analysis in Medical Research

PART A: META-ANALYSIS METHODOLOGY: THE BASICS Introduction: Meta-analysis: Its Development and Uses Defining Outcome Measures used for Combining via Meta-analysis Random Effects Models for Combining Study Estimates Exploring Between Study Heterogeneity Publication Bias Study Quality Sensitivity Analysis Reporting the Results of a Meta-analysis Fixed Effects Methods for Combining Study Estimates PART B: ADVANCED AND SPECIALIZED META-ANALYSIS TOPICS Bayesian Methods in Meta-analysis Meta Regression Meta-analysis of Different Types of Data Incorporating Study Quality into a Meta-analysis Meta-analysis of Multiple and Correlated Outcome Measures Meta-analysis of Epidemiological and other Observational Studies Generalised Synthesis of Evidence - Combining Different Sources of Evidence Meta-analysis of Survival Data Cumulative Meta-analysis Miscellaneous and Developing Areas of Applications in Meta-Analysis Appendix I: Software Used for the Examples in this Book
Syntactic heads and word formation

In Syntactic Heads and Word Formation, Marit Julien investigates the relationship between morphology and syntax. She examines the formation of morphologically complex words - that is, the mechanisms of grammar that may cause two or more of the simplest elements of language, or morphemes, to be combined into a single word. Combining complex theoretical analysis with extensive empirical coverage, she presents the controversial thesis that there is no morphological component, separate from the syntax, which performs the task of assembling morphemes into words. This comprehensive survey is unusual in its deployment of the best of two separate traditions in generative syntax and typology, and her discussion is buttressed by an analysis of over 500 languages. This latest addition to the Comparative Syntax series will set a new standard for syntactic work and will be highly useful to a wide range of professional linguists.
Research on content-based remote sensing image retrieval: the strategy for visual feature selection, extraction, description and similarity measurement

There is rich information contained in image data, while rarely text information can be used to retrieve images in a database, therefore, content-based image retrieval (CBIR) is widely studied in the image database (IDB) area. However, research about content-based remote sensing image retrieval is seldom reported in the literature. This paper puts emphasis on this subject, and the strategies for visual feature selection, detection, similarity model, implementation procedure of CBIR on a remote sensing imagery database are thoroughly investigated. Based on principal component analysis and a clustering technique, the cluster of color (spectrum) and texture feature is proposed to index the RS image and a similarity model for similarity measurement between images with varying dimension is proposed. Finally, the validity and usefulness of the proposed theory and technique are proved by the experiment.