Miracle-dz/UniFAR-FTUs huggingface dataset:
The Content Analysis Guidebook

Content analysis is one of the most important but complex research methodologies in the social sciences. In The Content Analysis Guidebook author Kimberly Neuendorf provides an accessible core text for upper-level undergraduates and graduate students across the social sciences. Comprising step-by-step instructions and practical advice, this text unravels the complicated aspects of content analysis. The Content Analysis Guidebook provides readers: • Numerous examples from across the social sciences • Sidebars that describe innovative and wide-ranging content analysis projects, from both academia and commercial research • Pedagogical tools in an easy to understand format
Multi-Stream Speech Recognition

In this paper, we discuss a new automatic speech recognition (ASR) approach based on independent processing and recombination of several feature streams. In this framework, it is assumed that the speech signal is represented in terms of multiple input streams, each input stream representing a different characteristic of the signal. If the streams are entirely synchronous, they may be accommodated simply (as they usually are in state-of-the-art systems). However, as discussed in the paper, it may be required to permit some degree of asynchrony between streams. This paper introduces the basic framework of a statistical structure that can accommodate multiple (asynchronous) observation streams (possibly exhibiting different frame rates). This approach will then be applied to the particular case of multi-band speech recognition and will be shown to yield significantly better noise robustness.
Improved MLP neural network as chromosome classifier

In this paper we introduce a technique to reduce dimension of Neural Networks (NN) for classification and apply it to a Multi Layer Perceptron (MLP) NN. This technique reduces number of output neurons from an order of n to log/sub 2/{n} that reduces dimension of network, number of required training data, generalization error of the network and training time significantly. The proposed technique is employed for human chromosome classification using Copenhagen data set. Using 304 chromosomes for 24 classes in training mode, a faster training time in compare to standard MLP and accuracy more than 88% in recall mode is achieved. The introduced idea can be generalized to any Neural Network, which is used for classification.
The new Collins dictionary and thesaurus in one volume

This book includes a general-purpose dictionary and a thesaurus in dictionary form, arranged so that the relevant material from each appears on the same page, an arrangement made possible by the use of computer data-handling. Meanings, spelling, pronunciation, usage and a wide range of words and phrases are instantly available. The dictionary in this volume is derived from the "Collins English Dictionary" while the thesaurus is derived from the "New Collins Thesaurus".
Personalized Boutique Service: Critical to Academic Library Success?

An academic library that focuses on delivering a personalized service is examined within the context of the boutique library model. It is suggested that a critical success factor in adopting a personalized, boutique-style service is acquiring knowledge and insight of our users. This, together with appropriate evaluation, will assist with providing evidence of service impact. A critical incident survey for third year dissertation students in a subject library is used to demonstrate the depth of knowledge essential for services to provide for their user populations. The extent to which obtaining user knowledge for making informed decisions about services underpins any academic library strategy is dependent on service managers. The conclusion is that local knowledge, along with evaluation of that information and tailored service implementation, is essential for academic library success, whatever the size of institution.
Multiuser Detection in CDMA Mobile Terminals

Preface. Introduction and CDMA Models. Single-User Detection. Linear Multiuser Detection, Structured vs. Unstructured Linear Detection and Interference Mitigation. Adaptive Linear Multiuser Detection. Performance of Linear Multiuser Detection. Non-Linear Multiuser Detection. Synchronization Techniques. Third Generation Mobile Radio System. The ASI-CNIT Communication System.
Self-cascaded machine: a low-speed motor or high frequency brushless alternator

The self-cascaded machine is a single-unit version of two separate induction machines connected in cascade. In construction, however, it closely resembles a conventional induction motor. It may be run asynchronously, with resistance control if required, or synchronously without any external connections to the rotor winding. As a motor it is particularly suited to low-speed duties. With its simple and robust form of rotor construction, and the absence of slip rings or rotating diodes, it is also ideally suited for operation at high speeds as a high-frequency brushless alternator. A general description of the machine, and the underlying principles involved, are presented. A theoretical treatment is included based on doubly stator-fed operation of the machine. General performance equations are derived, and equivalent static networks are obtained for steady-state operating conditions.
Q: A Multi-lingual Interprocess Communications System for Software Environment Implementation

Abstract : Q is a set of matched C and Ada interfaces designed to support interprocess communication between these two languages. It is a first step toward a more general notion of a multi-lingual interprocess communication model. The Q interfaces are adapted from the remote procedure call (RPC) interface model. The need for modification was imposed by the unavailability of certain C language features in the Ada language. Q attempts to define an interprocess communication model common to both languages, and a type space common to both languages.
The development of ESL learners' pragmatic competence : a longitudinal investigation of awareness and production.

The present paper presents the results of a longitudinal study into the development of ESL learners‟ pragmatic awareness and their productive pragmatic competence. The data for the investigation of the learners‟ pragmatic awareness were elicited with Bardovi-Harlig and Dornyei‟s (1998) seminal video-and-questionnaire instrument and semi-structured interviews, while the data for the investigation of the learners‟ productive pragmatic competence were collected with the Multimedia Elicitation Task (MET) that had been specifically designed for this study. All ESL learners were German native speakers who attended an English university for the duration of one academic year. Sixteen ESL learners provided the data for awareness part of the investigation and nine of those sixteen took part in the productive part of the study. The results indicate that two factors seem to influence learners‟ pragmatic development in the L2 context: the temporal effect of exposure to the L2 as well as individual learner variation.
Evolving networks: using the genetic algorithm with connectionist learning

It is appealing to consider hybrids of neural-network learning algorithms with evolutionary search procedures, simply because Nature has so successfully done so. In fact, computational models of learning and evolution ooer theoretical biology new tools for addressing questions about Nature that have dogged that eld since Darwin Belew, 1990]. The concern of this paper, however, is strictly artiicial: Can hybrids of connectionist learning algorithms and genetic algorithms produce more eecient and eeective algorithms than either technique applied in isolation? The paper begins with a survey of recent work (by us and others) that combines Holland's Genetic Algorithm (GA) with con-nectionist techniques and delineates some of the basic design problems these hybrids share. This analysis suggests the dangers of overly literal representations of the network on the genome (e.g., encoding each weight explicitly). A preliminary set of experiments that use the GA to nd unusual but successful values for BP parameters (learning rate, momentum) are also reported. The focus of the report is a series of experiments that use the GA to explore the space of initial weight values , from which two diierent gradient techniques (conjugate gradient and back propagation) are then allowed to optimize. We nd that use of the GA provides much greater conndence in the face of the stochas-tic variation that can plague gradient techniques, and can also allow training times to be reduced by as much as two orders of magnitude. Computational trade-oos between BP and the GA are considered, including discussion of a software facility that exploits the parallelism inherent in GA/BP hybrids. This evidence leads us to conclude that the GA's global sampling characteristics compliment connectionist local search techniques well, leading to eecient and reliable hybrids.
Analysis and modelling of point processes in computer systems

Abstract : Models of univariate and multivariate series of events (point processes) and statistical methods for the analysis of point processes have diverse applications in the study of computer systems. These applications, which include the analysis and prediction of computer system reliability and the evaluation of computer system performance, are reviewed with emphasis on the latter. In addition recent results are described in the development of methodology for the statistical analysis of point processes. The analysis of multivariate point processes is much more difficult than that of univariate point processes, and that methodology has only recently been developed in a perforce fairly tentative manner. The applications to computer system data illustrate the need for new data analytic methods for handling large amounts of data, and the need for simple models for non-normal, positive multivariate time series. Some starts in these directions are indicated.
Exploring imagery in literary corpora with the Natural Language ToolKit

This paper presents a middle way for corpus linguists between use of “off-the-shelf” corpus analysis software and building tools from scratch, which presupposes competence in a general-purpose programming language. The Python Natural Language ToolKit (NLTK) offers a range of sophisticated natural language processing tools which we have applied to literary analysis, through case studies in Macbeth and Hamlet, with code snippets and experiments that can be replicated for research and research-led teaching with other literary texts.
A new switching technique for DC-link capacitor minimisation in switched reluctance machine drives

In this paper, a new switching technique to minimise the dc-link capacitor size of a switched reluctance (SR) machine drive is described. In conventional SR drives, the commutation induced energy exchange between the DC supply and the SR machine is the main cause of the DC-link voltage and current ripples and hence the need for a large capacitor. The commutation induced DC-link current fluctuation is significantly reduced by controlling the switching time and switching logic of the SR converter according to a specified average DC-link current over a defined switching period. The performance of the proposed new switching technique is investigated by comprehensive simulation studies on a 3-phase SR drive. (6 pages)
Scientific Computing on Itanium-Based Systems

From the Publisher: Written for professionals who need to write, port, or maintain reliable, accurate, and efficient numerical software for the Itanium architecture, Scientific Computing on Itanium-based Systems shows you how to construct several key numerical infrastructure and application programs. This book describes the crucial techniques required for stability and reliability in developing numerical kernels and applications. Through numerous tested examples, the authors explain how you can get the most from the 64-bit architecture. This combination of explanation with example helps you to make difficult computations more easily and to increase the performance of your numerical software. This book provides examples to solve problems encountered in scientific and engineering computations, such as: Polynomial evaluation Complex arithmetic Quad-precision arithmetic Software pipelining, to include register rotation and modulo-scheduled loop support SIMD instructions Interval arithmetic Fast-Fourier Transformation (FFT) algorithms Numerical linear algebra and basic linear algebra subprograms(BLAS) Vector Math Library (VML) Cryptography
State estimation for short‐time switched linear systems under asynchronous switching

In this note, the state estimation problem for a class of short‐time switched linear systems is investigated. By incorporating the concept of finite‐time stability, an observer is designed to ensure the error dynamics finite‐time stable in the short‐time switching interval under the general asynchronous switching whereas synchronous switching mode is its special case. A numerical example is provided to illustrate the effectiveness of our study in this paper. Copyright © 2013 John Wiley & Sons, Ltd.
A Framework of Scalable and Secure Sharing of Personal Health Record in Cloud using Enhanced Multi Authority Attribute Based Encryption

Personal Health Record is a recently growing technology in cloud which allow users to store and access their health record in one centralized place. To provide high security for user data, encrypt each record before stored it to the cloud server. For encryption use RSA algorithm because there is no attacker is hack the data from the RSA encrypted data. To reduce the key management complexity Attribute Based Encryption method is recently used. ABE is used to generate access policy or procedures to access PHR. To handle the remote user in an efficient manner divide the users in the system into public domain and personal domain based on user roles. For personal domain PHR owner provide access policies and distribute the key. In public domain an enhanced MA-ABE scheme is used. The key and access policy for public domain is distributed by TPA. In this way the PHR service is work well in cloud environment and reduce the task of owner and user and also provide secure and efficient access of PHR. Keywords---Cloud Computing, Attribute Based Encryption, PHR, Scalable, EMA-ABE.
Post-modemism: the role of user adoption of teletext, videotex & bulletin board systems in the history of the Internet

The enduring policy conflicts of the Information Age increasingly demand a history of technology that acknowledges the legacy of accumulated user experience across successive paradigms and generations of communication media. Interrogation of the histories of Internet, teletext, videotex and bulletin board system (BBS) technologies, reveal the 1980s as a watershed decade for the radically decentralized socialization of digital communication. While each new technical paradigm requires cultural practices to socialize the products of engineering, the prevalence of elite- and infrastructure-focused histories reflect a systematic preference for describing centralized processes of engineering. This work integrates disparate accounts of technological innovation, diffusion, adoption and translation, pointing the way toward a more flexible, user-focused, people’s history of the Internet.
Direct equalizer based on a modified receiver structure

This paper discusses the direct blind equalization for the time varying channel, which is represented by means of basis expansions. Based on the results reported in G.B. Giannakis et al. (1998), a modified receiver structure to achieve a new direct equalizer, which intends to reduce the frequency shift effect caused during the transmitting process, is adopted. The simulation results show that the modified receiver structure achieves better performance comparing with the original receiver structure.
Redesigning social inquiry

For over twenty years Charles C. Ragin has been at the forefront of the development of innovative methods for social scientists. In "Redesigning Social Inquiry", he continues his campaign to revitalize the field, challenging major aspects of the conventional template for social science research while offering a clear alternative. "Redesigning Social Inquiry" provides a substantive critique of the standard approach to social research - namely, assessing the relative importance of causal variables drawn from competing theories. Instead, Ragin proposes the use of set-theoretic methods to find a middle path between quantitative and qualitative research. Through a series of contrasts between fuzzy-set analysis and conventional quantitative research, Ragin demonstrates the capacity for set-theoretic methods to strengthen connections between qualitative researchers' deep knowledge of their cases and quantitative researchers' elaboration of cross-case patterns. Packed with useful examples, "Redesigning Social Inquiry" will be indispensable to experienced professionals and to budding scholars about to embark on their first project.
OBIWAN - An Internet Protocol Router in Reconfigurable Hardware

The ongoing exponential increase of line speed in the Internet and combined with the uncountable requests for increased functionality of network devices presents a major challenge. These demands call for the use of reprogrammable hardware to provide the required flexible high-speed functionaltiy. The Field Programmable Port Extender (FPX) provides such an environment for development of networking components in reprogrammable hardware. We present the high-speed IP routing components in reprogrammable hardware. We present the high-speed IP routing module "OBIWAN" (Optimal Binary search IP lookup for Wide Area Networks) built on top of an IP processing framework.
Migrating Legacy Software Applications to Cloud Computing Environments : A Software Architect's Approach

Cloud computing has garnered a great deal of interest in the past few years. The availability of on-demand computational power is presumed to provide substantial IT infrastructure cost-savings partially through the reduction of maintenance and administration costs. However in order to take advantage of these savings it is often required that legacy applications be rewritten at least partially if not in entirety to operate in these environments. As a part of re-architecting these legacy assets for cloud computing environments the software architect may also consider application modifications providing other cost benefits which may have been cost prohibitive to implement in a more traditional computing environment. Although not a new technology the combination of parallel computing and cloud environments can offer a number of benefits to many application categories if the cost of making the necessary changes to the application and setting up and maintaining the environment can be justified. This thesis explores the use of cloud computing to provide a flexible deployment environment in which to run a migrated legacy application using one of the popular parallel computing frameworks. The ability to easily and rapidly configure and deploy hardware and software to create a cloud capable of executing applications with parallelism combines the benefits of these technologies in a powerful manner. In order to make an informed decision about the potential benefits of such an environment the owner of those assets needs to be able to balance any savings against any costs incurred to enable existing corporate business applications to run in such an environment. An approach to performing such an analysis is presented in this thesis. To provide some quantitative means of measuring benefits benchmark results of the computational resources required by the application in the different environments are provided. Additionally offsetting costs such as software re-architecting and refactoring are considered.
Pragmatics and Computational Linguistics

These days there’s a computational version of everything. Computational biology, computational musicology, computational archaeology, and so on, ad infinitum. Even movies are going digital. This chapter, as you might have guessed by now, thus explores the computational side of pragmatics. Computational pragmatics might be defined as the computational study of the relation between utterances and context. Like other kinds of pragmatics, this means that computational pragmatics is concerned with indexicality, with the relation between utterances and action, with the relation between utterances and discourse, and with the relationship between utterances and the place, time, and environmental context of their being uttered. As Bunt and Black (2000) point out, computational pragmatics, like pragmatics in general, is especially concerned with INFERENCE. Four core inferential problems in pragmatics have received the most attention in the computational community: REFERENCE RESOLUTION, the interpretation and generation of SPEECH ACTS, the interpretation and generation of DISCOURSE STRUCTURE AND COHERENCE RELATIONS, and ABDUCTION. Each of these four problems can be cast as an inference task, one of somehow filling in information that isn’t actually present in the utterance at hand. Two of these tasks are addressed in other chapters of this volume; abduction in Hobbs (this volume) , and discourse structure and coherence in Kehler (this volume). Reference resolution is covered in Kehler (2000). I have therefore chosen the interpretation of speech acts as the topic of this chapter. Speech act interpretation, a classic pragmatic problem, is a good choice for this overview chapter for many reasons. First, the early computational work drew very strongly from the linguistic literature of the period. This enables us to closely compare the ways that computational linguistic and non-computational linguistic approaches differ in their methodology Second, there are two distinct computational paradigms in speech act interpretation: a logic-based approach and a probabilistic approach. I see these two approaches as good vehicles for motivating the two dominant paradigms in computational linguistics; one based on logic, logical inference,
Detecting flames and insults in text

While the Internet has become the leading source of information, it is also become the medium for flames, insults and other forms of abusive language, which add nothing to the quality of information available. A human reader can easily distinguish between what is information and what is a flame or any other form of abuse. It is however much more difficult for a language processor to do this automatically. This paper describes a new approach for an automated system to distinguish between information and personal attacks containing insulting or abusive expressions in a given document. In Linguistics, insulting or abusive messages are viewed as an extreme subset of the subjective language because of its extreme nature. We create a set of rules to extract the semantic information of a given sentence from the general semantic structure of that sentence to separate information from abusive language.