Miracle-dz/UniFAR-FTUs huggingface dataset:
Generalized multiple sweep measurement

A system identification by impulse response measurements with multiple sound source configurations can benefit greatly from time-efficient measurement procedures. An optimized method by interleaving and overlapping of multiple exponential sweeps (MESM) used as excitation signals was presented by Majdak et al. (2007). For single system identifications, however, much higher signal-to-noise ratios (SNR) can be reached with sweeps whose magnitude spectra are adapted to the background noise spectrum of the acoustical environment, as proposed by Muller & Massarani (2001). We investigated on which conditions and to what extent the efficiency of multiple sweep measurements can be increased by using arbitrary, spectrally adapted sweeps. An extension of the MESM approach towards generalized sweep spectra is presented, along with a recommended measurement procedure and a prediction of the efficiency of multiple sweep measurements depending on typical measurement conditions.
A first look at scalable I/O in Linux commands

Data created from and used by terascale and petascale applications continues to increase, but our ability to handle and manage these files is still limited by the capabilities of the standard serialized Linux command set. This paper introduces the Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) efforts towards providing parallelized and more efficient versions of the commonly used Linux commands. The design and implementation details as well as performance analysis of an in-house developed distributed parallelized version of the cp tool, spdcp is presented. Tests show that our spdcp utility can achieve 73 times more performance than its serialized counterpart. In addition, we introduce current work to extend this approach to other tools.
All-pole speech modeling with a maximally pulse-like residual

Multiple pulse excited linear predictive coding (MPLPC) has recently received a great deal of attention in the literature as an attractive means of speech coding at data rates below 10 Kbits/second. The existing approaches to MPLPC analysis arrive at the parameters for an all-pole model by minimizing the mean squared modeling error before attempting to find a set of pulses to excite the model. The strategy proposed here selects the all-pole parameters to concentrate the model excitation in a finite number of locations. The goal is then to produce a maximally pulse-like residual as a result of the all-pole parameter estimation.
Epigrafía en los confines de las ciudades romanas

En los utimos meses del pasado ano se ha publicado el libro Epigrafia de los confines de las ciudades romanas: Los Termini Publici en Hispania, Mauretania y Numidia, del que es autora Carolina Cortes Barcena, investigadora formada en el Grupo de Investigacion Arqueologia e Historia Antigua del Imperio Romano (AHAIR) de la Universidad de Cantabria, y actualmente Profesora de Historia Antigua en la Universidad de Oviedo. El trabajo es una parte de la tesis doctoral, dirigida por Jose Manuel Igl.
A resource reservation scheme with hybrid dynamic grouping for multimedia mobile wireless communications networks

This paper presents a resource reservation scheme with hybrid dynamic grouping to support quality of service (QoS) guarantees in the next generation mobile wireless networks. The proposed scheme is based on probabilistic resource estimation to provide QoS guarantees for multimedia traffic in cellular networks. We establish several reservation time-sections, called groups, according to the mobility information of mobile hosts of each base station. The amount of reserved bandwidth for each base station is dynamically adjusted for each reservation group. The performance of the proposed scheme is compared to the semi-reservation scheme. The simulation results show that the resource reservation scheme with hybrid dynamic grouping provides less connection-blocking rate and less connection-dropping rate, and achieves high bandwidth utilization.
Foundations of Databases: The Logical Level

From the Publisher: Over the past two decades, the theory concerning the logical level of database management systems has matured and become an elegant and robust piece of science. Foundations of Databases presents indepth coverage of this theory and surveys several emerging topics. Written by three leading researchers, this advanced text presents a unifying and contemporary perspective on the field. A major effort in writing the book has been to highlight the intuitions behind the theoretical development.
An Investigation of Finite Sample Behavior of Confidence Interval Estimation Procedures in Computer Simulation

Abstract : Investigated are the small sample behavior and convergence properties of confidence interval estimators (CIE's) for the mean of a stationary discrete process. We consider CIE's arising from nonoverlapping batch means, overlapping batch means, and standardized time series, all of which are commonly used in discrete-event simulation. For a specific CIE, the performance measures of interest include the coverage probability, and the expected value and variance of the half-length. We use both empirical and analytical methods to make detailed comparisons regarding the behavior of the CIE's for a variety of stochastic processes. All of the CIE's under study are asymptotically valid; however, they are usually invalid for small sample sizes. We find that for small samples, the bias of the variance parameter estimator figures significantly in CIE coverage performance-the less bias the better. A Secondary role is played by the Marginal distribution of the stationary process. Not all CIE's are equal - some require fewer observations before manifesting the properties for CIE validity.
Deformable models in medical image analysis

This article surveys deformable models, a promising and vigorously researched computer-assisted medical image analysis technique. Among model-based techniques, deformable models offer a unique and powerful approach to image analysis that combines geometry, physics, and approximation theory. They have proven to be effective in segmenting, matching, and tracking anatomic structures by exploiting (bottom-up) constraints derived from the image data together with (top-down) a priori knowledge about the location, size, and shape of these structures. Deformable model are capable of accommodating the significant variability of biological structures over time and across different individuals. Furthermore, they support highly intuitive interaction mechanisms that, when necessary, allow medical scientists and practitioners to bring their expertise to bear on the model-based image interpretation task. This article reviews the rapidly expanding body of work on the development and application of deformable models to problems of fundamental importance in medical image analysis, including segmentation, shape representation, matching, and motion tracking.
Using the Security Protocol Game to teach computer network security

The Security Protocol Game is a highly interactive game for teaching secure data communications protocols. Students use the game to simulate security protocols and explore possible attacks against them. The power of the game lies in the representation it provides for secret and public key cryptography – a unique combination of game rules and playing pieces has been devised that accurately represents the mathematical capabilities of cryptographic systems. Using pen and paper, envelopes and printed game pieces, students can simulate a wide range of computer network security protocols including well-known protocols such as SSL and Pretty Good Privacy. Such simulations enable students to gain a deep understanding of how the protocols operate and how protocol design affects security of the protocol. Student response to the game is positive and engaging. It has been successfully used with both information technology students and management students. This paper presents the game briefly followed by analysis and discussion of a recent survey of student response to the game.
Tutorial: Software Design Strategies

tutorial software design strategies. Book lovers, when you need a new book to read, find the book here. Never worry not to find what you need. Is the tutorial software design strategies your needed book now? That's true; you are really a good reader. This is a perfect book that comes from great author to share with you. The book offers the best experience and lesson to take, not only take, but also learn.
Toulmin Tartışma Modeli

The aim of this paper is to have an eloborate discussion of the Toulmin’s model of argumentation Born in London England in 1922 Stephen Toulmin is one of the modern day leaders of informal logic and rhetoric theory In his influential book entitled “The Uses of Argument 1958” he proposes a structural model by which rhetorical arguments can be analyzed Toulmin’s Model of Argument consists of six elements: claim data warrant support rebuttal and qualifiers After presenting background information about the dimensions or functions of argumentation Toulmin’s ideas on argumentation and the structures of the argumentation model will be defined; and analyzed based on problems arising in implementations in educational and professional practice Key Words: Toulmin argumentation model argumentation informal logic
Performance of Data Services in cellular CDMA in Presence of Soft Handoff, Beam -forming and Packet Combining

Performance analysis of data services is studied in CDMA network in presence of packet combining, beam forming and soft handoff (HO). Beam forming in conjunction with soft handoff and packet combining is found to enhance throughput and reduce delay and BER significantly. It also reduces packet delay variation (PDV) significantly. Both the cases of perfect and imperfect Beam forming are investigated. Two different packet combining schemes for packet data service, one based on log likelihood ratio (LLR) and another based on equal gain combining (EGC) have been studied. A cross layer interactions between ARQ and packet combining at link layer and soft HO and beam forming in physical layer has been shown. Truncated automatic repeat request (T-ARQ) is used at link layer to satisfy a prescribed delay constraint. The impact of processing gain, number of retransmissions, throughput, delay and packet loss on system performance is studied.
The Sound Pattern of English

Since this classic work in phonology was published in 1968, there has been no other book that gives as broad a view of the subject, combining generally applicable theoretical contributions with analysis of the details of a single language. The theoretical issues raised in The Sound Pattern of English continue to be critical to current phonology, and in many instances the solutions proposed by Chomsky and Halle have yet to be improved upon.Noam Chomsky and Morris Halle are Institute Professors of Linguistics and Philosophy at MIT.
A single Fourier series technique for the simulation and analysis of asynchronous pulse width modulation in motor drive systems

A generalized single Fourier series description is presented for the simulation and analysis of asynchronous pulsewidth modulation (PWM) in brushless motor drive (BLMD) systems. This simple expedient eliminates the need for very small time steps in resolving the PWM waveform edge transition times, within a switching interval, without loss of simulation accuracy. Graphed simulation data indistinguishable from that for analog comparator circuit implementation is presented for three forms of PWM based on the generalized Fourier series representation. Substantial savings of up to fiftyfold in motor drive simulation time are achieved without impairment to simulation accuracy.
Numerical methods in engineering practice

The fifth edition of "Numerical Methods for Engineers" continues its tradition of excellence. Instructors love this text because it is a comprehensive text that is easy to teach from. Students love it because it is written for them--with great pedagogy and clear explanations and examples throughout. The text features a broad array of applications, including all engineering disciplines. The revision retains the successful pedagogy of the prior editions. Chapra and Canale's unique approach opens each part of the text with sections called Motivation, Mathematical Background, and Orientation, preparing the student for what is to come in a motivating and engaging manner. Each part closes with an Epilogue containing sections called Trade-Offs, Important Relationships and Formulas, and Advanced Methods and Additional References. Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. Approximately 80% of the end-of-chapter problems are revised or new to this edition. The expanded breadth of engineering disciplines covered is especially evident in the problems, which now cover such areas as biotechnology and biomedical engineering. Users will find use of software packages, specifically MATLAB and Excel with VBA. This includes material on developing MATLAB m-files and VBA macros.
Hypervideo and Cognition: Designing Video-Based Hypermedia for Individual Learning and Collaborative Knowledge Building

This chapter discusses how advanced digital video technologies, such as hypervideo, can be used to broaden the spectrum of meaningful learning activities. Hypervideo is conceptualized as the true integration of video into non-linear information structures by means of spatio-temporal links. Based on cognitive-psychological perspectives, the discussion focuses on the way cognitive and socio-cognitive processes relate to the specific characteristics of hyperlinked videos, and how they inform their design. Then, with regard to technology, two approaches are introduced, providing tools for knowledge building and interaction with non-linear information structures based on dynamic video information. Case studies and research findings are presented and prospects for future research are outlined.
Tabulation of Multiple Responses

Although multiple-response questions are quite common in survey research, Stata's official release does not provide much capability for an effective analysis of multiple-response variables. For example, in a study on drug addiction an interview question might be, “Which substances did you consume during the last four weeks? ” The respondents just list all the drugs they took, if any; e.g., an answer could be “cannabis, cocaine, heroin” or “ecstasy, cannabis” or “none”, etc. Usually, the responses to such questions are stored as a set of variables and, therefore, cannot be easily tabulated. I will address this issue here and present a new module to compute one- and two-way tables of multiple responses. The module supports several types of data structure, provides significance tests, and offers various options to control the computation and display of the results. In addition, tools to create graphs of multiple-response distributions are presented.
Improving learning vector quantization classifier in machine fault diagnosis by adding consistency

This paper presents a hybrid neural network system which combines the learning vector quantization (LVQ) classifier with the theory of consistency. The hybrid system employs consistency to measure the degree of matching between the input feature vectors and the output classes. In the calculation of the consistency, the probability distribution is embedded to describe the occurring frequencies of various classes in a neighborhood region associated with the input feature. This successfully avoids the case that usually occurs in complex classification problems of machine faults, that is, one or a few deviated input feature affecting the Euclidean distance and leads to misclassifications. Experiments shows that the consistency can improve the classification capability of LVQ by not only reducing the influence of distorted features but also making the boundaries of overlapped classes more discriminative. From the results of identifying faults occurred in a tapping machine, it is demonstrated that the successful rate of classification using this hybrid method outweighed the backpropagation and the conventional LVQ classifiers.
Facial Expression Recognition Under Panial Occlusion Based on Facial Region Segmentation

Abstraet [[his paper presents a facial expression recognition algorithm based on segrnentation of a face irnage into four facial regions (eye-eyebrowl forehead, nose and mouth) in order to develop a facial expression recognition under partial occlusion, As the special case of partial occlusion, half face occlusion is also examined. In feature extraction stage the proposed method
Prefix sums and their applications

Abstract: "Experienced algorithm designers rely heavily on a set of building blocks and on the tools needed to put the blocks together into an algorithm. The understanding of these basic blocks and tools is therefore critical to the understanding of algorithms. Many of the blocks and tools needed for parallel algorithms extend from sequential algorithms, such as dynamic-programming and divide-and-conquer, but others are new. This paper introduces one of the simplest and most useful building blocks for parallel algorithms: the all-prefix-sums operation. The paper defines the operation, shows how to implement it on a P-RAM and illustrates many applications of the operation.In addition to being a useful building block, the all-prefix-sums operation is a good example of a computation that seems inherently sequential, but for which there is an efficient parallel algorithm. "
A neutral network for isolated-word recognition

Algorithms that are implementable by artificial neural networks show promise of augmenting the field of automatic speech recognition. A specific approach to the problem of isolated-word recognition was initiated by Tank and Hopfield. These ideas were applied to a concatenated systems consisting of a vector quantizer, a time concentrator with vector sequences as input and allophones as output and a final stage with allophone sequence as input and isolated words as output. Improvements in the system are discussed; included are the addition of data-dependent 'phenomenological' rules that yield improved results for a single-speaker 35-word vocabulary isolated-word recognition task. <<ETX>>
A Column Generation-based Algorithm for Multi-Class Dynamic User Equilibrium Problem

The multi-class dynamic user equilibrium (MDUE) model can be adopted in the lower level of a bi-level formulation of dynamic network design problems to predict heterogeneous travelers’ path choices in response to transportation authority’s decisions in the upper level. While a number of previous studies were devoted to the finite-dimensional MDUE (FMDUE) problem with a given number of user classes, the infinite-dimensional MDUE (IMDUE) problem was rarely addressed. This work proposes a column generation-based algorithm that solves the IMDUE problem as a series of FMDUE sub-problems. Each sub-problem is formulated as a nonlinear minimization program via a gap function and solved by a feasible descent direction method that is able to circumvent the needs to calculate partial derivatives for determining search direction, while maintaining the mechanisms of searching along feasible descent directions. Numerical results show this approach is superior to the algorithm based on the method of successive averages.
Software fault injection for survivability

In this paper, we present an approach and experimental results from using software fault injection to assess information survivability. We define information survivability to mean the ability of an information system to continue to operate in the presence of faults, anomalous system behavior, or malicious attack. In the past, finding and removing software flaws has traditionally been the realm of software testing. Software testing has largely concerned itself with ensuring that software behaves correctly-an intractable problem for any non-trivial piece of software. In this paper, we present "off-nominal" testing techniques, which are not concerned with the correctness of the software, but with the survivability of the software in the face of anomalous events and malicious attack. Where software testing is focused on ensuring that the software computes the specified function correctly, we are concerned that the software continues to operate in the presence of faults, unusual system events or malicious attacks.
Natural Language Grammatical Inference

This project is concerned with programming a computer to make predictions about which words are most likely to follow a small segment of English text. At first this may seem a strange problem, but I intend to show that there exist a wide range of applications that would benefit from such a program. Indeed, my motivation for approaching this problem was to provide a way of improving the accuracy of speech recognition systems. Additionally, I am interested with the problem of Grammatical Inference. In fact, the word prediction problem and the Grammatical Inference problem are intertwined, and it seems that approaching either one will lead to the other. Grammatical Inference entails inferring a grammar for an arbitrary language from a finite set of sample sentences in the language. It is quite easy to measure the performance of a word prediction system, providing that its prediction is given as a probability distribution. This allows us to compare our predictor with others, such as the trigram predictor developed at the IBM Thomas J. Watson Research Centre by Jelinek et al. A comparison between the IBM predictor and the algorithm presented in this dissertation indicates that the method I have used is able to make broader generalisations about the language under investigation, and produces more accurate predictions about texts generated by artificial grammars.
Performance of Thorium-Based Mixed Oxide Fuels for the Consumption of Plutonium and Minor Actinides in Current and Advanced Reactors

A renewed interest in thorium-based fuels has arisen lately based on the need for proliferation resistance, longer fuel cycles, higher burnup and improved wasteform characteristics. Recent studies have been directed toward homogeneously mixed, heterogeneously mixed, and seed-and-blanket thorium-uranium fuel cycles that rely on "in situ" use of the bred-in U-233. However, due to the higher initial enrichment required to achieve acceptable burnups, these fuels are encountering economic constraints. Thorium can nevertheless play a large role in the nuclear fuel cycle; particularly in the reduction of plutonium. While uranium-based mixedoxide (MOX) fuel will decrease the amount of plutonium, the reduction is limited due to the breeding of more plutonium (and higher actinides) from the U-238. Here we present calculational results and a comparison of the potential burnup of a thorium-based and uranium-based mixed oxide fuel in a light water reactor (LWR). Although the uranium-based fuels outperformed the thorium-based fuels in achievable burnup, a depletion comparison of the initially charged plutonium (both reactor and weapons grade) showed that the thorium-based fuels outperformed the uranium-based fuels by more that a factor of 2; where more than 70% of the total plutonium in the thorium-based fuel is consumed during the cycle. This is significant more » considering that the achievable burnup of the thorium-based fuels were 1.4 to 4.6 times less than the uranium-based fuels. Furthermore, use of a thorium-based fuel could also be used as a strategy for reducing the amount of long-lived nuclides (including the minor actinides), and thus the radiotoxicity in spent nuclear fuel. Although the breeding of U-233 is a concern, the presence of U-232 and its daughter products can aid in making this fuel self-protecting, and/or enough U-238 can be added to denature the fissile uranium. From these calculations, it appears that thorium-based fuel for plutonium incineration is superior as compared to uranium-based fuel, and should be considered as an alternative to traditional MOX in both current and future reactor designs. « less