Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic Author Profiling of Online Chat Logs

Abstract : Now that the Internet has become easily accessible and more affordable, a larger number of people spend more time in front of a computer. Some spend so much time on the Internet that they develop virtual friendships and relationships people with whom they have regular contact via a computer screen and the Internet. While most of the dialogue exchanged online is not harmful or illegal, there are those with dishonest intentions lurking online. These people can be breaking the law by seducing a minor virtually or even going as far as meeting a minor in person. Terrorists can also use the Internet to facilitate communication and plan attacks. Since e-mail is one of the original means of communication on the Internet, methods for determining the author of an e-mail have already been studied. So far, however, no significant experimentation with online chat logs exists. The first of part of this study is comprised of generating an unbiased, random, and broad corpus of online chat logs. Having a general corpus with a wide-range of topics allows the results of this research to be applied in the most general case. Because developing a complete solution to the authorship attribution problem for chat logs is difficult, we limit our scope to predicting gender and age. The ultimate goal of this work, then, is to facilitate the jobs of law enforcers in tracking down criminals who attempt to use the Internet as a hiding place.
3D volumetric object perception in binocular vision

3D object perception is one of the important issues in the study of human visual functions. It is a seemingly effortless process that requires no conscious thought for the human beings, but a difficult computational problem for machines. The object perception with binocular viewing utilizes the disparities between the two eyes to recover the 3D information of an object, and takes advantage of the fact that human beings have two eyes. Recently, a new visual effect named the mime effect was found, in which an illusory 3D volumetric object is perceived due to some stereoscopically displayed inducing objects (Zhang et al., 1998). Here we propose a processing model with both top-down and bottom-up processes, and discuss the involvement of the early and higher-level visual cortical areas to this 3D volumetric object perception. It is hoped to provide new clues to the understanding of the human 3D visual system.
Communication systems at millimeter waves for ITS applications

This paper refers to the work carried out by the author in the framework of the Italian project TELCO, which aims at defining a communication system for cooperative driving applications. Inter-vehicle and beacon-to-vehicle communications at 63.5 GHz in highway environments are investigated. The purpose of the paper is network performance evaluation by considering a multi-hop reservation Aloha protocol, proper transmission techniques and a suitable propagation model. The performance is assessed both by means of a simulation tool and analytical modeling, in terms of packet success probability and deadline failure probability; the main protocol parameters, such as the total bit rate and the number of slots per frame, are defined.
Scaling a mobile tutoring project: strategic interventions in C3TO

Scalability is a critical characteristic when attempting to take a successful research "pilot project" and roll it out on a large scale. Dr Math, an online mobile tutoring system, was such a pilot project. Dr Math linked primary and secondary school pupils to university students using Mxit on the pupils' cell phones in order to provide the pupils with quality help with their mathematics homework in the afternoons after school. From an initial expectation of approximately 50 pupils, Dr Math grew to assist thousands of pupils during its initial 3 years of existence. However, as more and more pupils asked Dr Math for help with their mathematics homework, it became clear that the original IT architecture could not scale to handle the unexpected work load. C3TO, Chatter Call Centre/Tutoring Online, specifically addresses the scalability issues of online mobile tutoring. Scalability is the ability of an IT solution to satisfactorily handle work loads of different sizes. C3TO tackles the scalability problem at three different levels: technical, tactical, and strategic. The technical level includes "what" components are being used in the solution (for example, Mobicents running under Jboss on Linux servers). The tactical level includes "how" these components are configured, accessed, and used. The strategic level includes facilities which attempt to answer the pupils questions using the least amount of resources and protects scarce resources from misuse (or abuse). Dr Math was ported to the new C3TO architecutre in November, 2009. At the time of writing this abstract, a handful of tutors from various tertiary institutions around South Africa, are using C3TO to provide quality mathematics tutoring to hundreds of pupils. This paper will discuss in detail the technical, tactical, and strategic solutions required to enable a mobile tutoring system to scale adequately. In addition, in view of the fact that this conference is to be held later in 2010, we will have more numerical data on scalability issues such as tutor/pupil ratio, connectivity, data requirements, etc.
Speech Development and Disorder in Bilingual Children

Speech-language pathologists have no clear guidelines on how to assess, diagnose or treat bilingual children with speech disorders. This thesis addresses this issue. The phonological development of 91 Cantonese-English and Punjabi-English bilingual children is described. Two Cantonese-English bilingual children's phonological development over the year they were first exposed to English is also presented. The bilingual children's phonological systems were clearly differentiated. The bilingual children's speech also included many phonological processes that would be considered atypical for a monolingual child. The use of these processes is argued to be characteristic of normal bilingual development. The longitudinal data showed that the atypical error patterns were transient and directly related to the introduction of the second language. Some `atypical' error patterns could be plausibly explained by referring to the nature of the two phonological systems. Other atypical processes could be explained by language-specific differences in normal developmental or adult variation patterns. This thesis argues that the differences evident in the bilingual children's phonological patterns are due to `hypothesis testing' resulting in underspecified realisation rules. There was no indication that bilingual children process phonological input and output differently to monolingual children. However, they differentiate the cognitive-linguistic information they abstract from the two languages, and they use separate phonological realisation rules for each language. This thesis argues that bilingual children use the same phonological processing mechanism for both languages, however they are able to filter each language through the appropriate language-specific phonological information.
The MapReduce Programming Model and Implementations

Recently the computing world has been undergoing a significant transformation from the traditional noncentralized distributed system architecture, typified by distributed data and computation on different geographic areas, to a centralized cloud computing architecture, where the computations and data are operated somewhere in the “cloud”—that is, data centers owned and maintained by third party. The interest in cloud computinghas beenmotivatedbymany factors [1] such as the low cost of system hardware, the increase in computing power and storage capacity (e.g., themoderndatacenterconsistsofhundredof thousandofcoresand petascale storage), and themassive growth in data size generated by digitalmedia (images/audio/video), Web authoring, scientific instruments, physical simulations,andsoon.Tothisend,still themainchallengeinthecloudishowtoeffectively store, query, analyze, and utilize these immense datasets. The traditional dataintensive system(data tocomputingparadigm) isnotefficient for cloudcomputing due to the bottleneck of the Internet when transferring large amounts of data to a distant CPU [2]. New paradigms should be adopted, where computing and data resources are co-located, thus minimizing the communication cost and benefiting from the large improvements in IO speeds using local disks, as shown inFigure 14.1. Alex Szalay and JimGray stated in a commentary on 2020 computing [3]:
Design Parameters For Distributed PIM Memory Systems

by Richard Cameron Murphy Processing-In-Memory (PIM) circumvents the von Neumann bottleneck by combining logic and memory (typically DRAM) on a single die. This work examines the memory system parameters for constructing PIM based computers which are capable of solving significant problems. Using several data intensive benchmarks, simulations demonstrate that PIMs are capable of supporting enough data to be multicomputer nodes. Additionally, the results show that even data intensive code exhibits a large amount of internal spatial locality. A mobile thread execution model is presented that takes advantage of the tremendous amount of internal bandwidth available on a given PIM node and the locality exhibited by the application. Communication and other overhead is also discussed. For my parents, Maura and Lester Murphy. Sir Winston Churchill said, “the empires of the future are the empires of the mind. ” Thank you for founding my empire.
The Effect of Audio and Visual Aids on Task Performance in Distributed Collaborative Virtual Environments

Collaborative virtual environments (CVE) has recently gained the attention of many researchers due to its numerous potential application domains. Cooperative virtual environments, where users simultaneously manipulate objects, is one of the subfields of CVEs. In this paper we present a framework that enables two users to cooperatively manipulate objects in virtual environment, while setting on two separate machines connected through local network. In addition the article presents the use of sensory feedback (audio and visual) and investigates their effects on the cooperation and user’s performance. Six volunteers subject had to cooperatively perform a peg‐in‐hole task. Results revealed that visual and auditory aid increase users’ performance. However majority of the users preferred visual feedback to audio. We hope this framework will greatly help in the development of CAD systems that allow the designers to collaboratively design while being distant. Similarly other application domains may be cooperative.
Reversed Voodoo Dolls: An exploration of physical visualizations of biological data

Physical visualizations are artifacts that materialize abstract data. They take advantage of human natural abilities to interact with information in the physical world. These visualizations present an opportunity to be applied on new application domains. With the objective of discovering if physical visualizations can support remote monitoring of biological data, a technology probe is presented in the form of a reversed voodoo doll. This probe uses the natural affordance of an anthropomorphic figure to represent a person and reverses the concept of voodoo dolls in a playful way. The scenario of safety is selected for testing physical visualizations of bio-data. Two measurements from the human body, heart rate and motion are chosen as a light way to monitor remotely over a person’s conditions. During the study, a group of six participants were exposed to the technology probe and their interactions with it were observed. The study reports on the users’ interpretations of the data and uses given to the alternative modalities of the probe.The results suggest that the data mapping to the object’s body parts was effective for conveying meaning. Additionally, the results confirm that the use of multiple modalities in physical visualizations offers an opportunity to present information in situated contexts in the real world. The degree of physicality achieved by the reversed voodoo doll and the effects of the selected metaphors are discussed. In conclusion, it is argued that the responses and interpretations from the users indicate that the reversed voodoo doll served as a means in its own right to transmit information for monitoring of bio-data.
Opengl programming guide: the official guide to learning opengl

OpenGL is a powerful software interface used to produce high-quality, computer-generated images and interactive applications using 2D and 3D objects, bitmaps, and color images. The OpenGLProgramming Guide, Seventh Edition, provides definitive and comprehensive information on OpenGL and the OpenGL Utility Library. The previous edition covered OpenGL through Version 2.1. This seventh edition of the best-selling red book describes the latest features of OpenGL Versions 3.0 and 3.1. You will find clear explanations of OpenGL functionality and many basic computer graphics techniques, such as building and rendering 3D models; interactively viewing objects from different perspective points; and using shading, lighting, and texturing effects for greater realism. In addition, this book provides in-depth coverage of advanced techniques, including texture mapping, antialiasing, fog and atmospheric effects, NURBS, image processing, and more. The text also explores other key topics such as enhancing performance, OpenGL extensions, and cross-platform techniques. This seventh edition has been updated to include the newest features of OpenGL Versions 3.0 and 3.1, including Using framebuffer objects for off-screen rendering and texture updates Examples of the various new buffer object types, including uniform-buffer objects, transform feedback buffers, and vertex array objects Using texture arrays to increase performance when using numerous textures Efficient rendering using primitive restart and conditional rendering Discussion of OpenGLs deprecation mechanism and how to verify your programs for future versions of OpenGL This edition continues the discussion of the OpenGL Shading Language (GLSL) and explains the mechanics of using this language to create complex graphics effects and boost the computational power of OpenGL. The OpenGL Technical Library provides tutorial and reference books for OpenGL. The Library enables programmers to gain a practical understanding of OpenGL and shows them how to unlock its full potential. Originally developed by SGI, the Library continues to evolve under the auspices of the Khronos OpenGL ARB Working Group, an industry consortium responsible for guiding the evolution of OpenGL and related technologies.
Estimation of Software Reliability with Immune Algorithm and Support Vector Regression

The accurate estimation of software reliability is important to a successful development in software engineering. Until recent days, the models using regression analysis based on statistical algorithm and machine learning method have been used. However, this paper estimates the software reliability using support vector regression, a sort of machine learning technique. Also, it finds the best set of optimized parameters applying immune algorithm, changing the number of generations, memory cells, and allele. The proposed IA-SVR model outperforms some recent results reported in the literature.
Projet pédagogique Master Micro-Nano Électronique de Strasbourg ¬ CRTC: Testabilité numérique-analogique sur circuit intégré mixte dédié

Cet article présente les résultats d'un enseignement de testabilité sur circuit mixte qui est le résultat d'une collaboration entre le Master Micro-Nano Electronique de l'université de Strasbourg et le Centre de Ressources de Test du CNFM à Montpellier. Cette collaboration a débuté il y a deux ans et a fait l'objet d'une première communication dans la précédente édition des Journées Pédagogiques du CNFM [1]. Les paragraphes I à III traitent des performances et des possibilités du circuit ainsi que d'une première expérience d'enseignement en Master MNE au cours de l'année dernière, puis, les paragraphes IV à VI traitent plus spécifiquement de la carte de test et du développement du programme de test par le CRTC de Montpellier.
A study of multilingual speech features: perceptive scalogram based on wavelet analysis

In recent years adopted speech feature for automatic speech recognition system is degraded by the additive noise when the system is being used in real environments. In this respect a lot of efforts have been devoting to find the robust features. In this paper, we propose the use of perceptive scalogram, which is a kind of time-scale distribution of signal to approximate perception of speech. It provides a three-dimensional representation of speech signal spectra, with time represented on the x-axis and frequency on the y-axis. Gray scales are used to represent the third dimension, either the amplitudes (for scalograms) or the phase (for phase-shift diagrams), of the wavelet transform data. It takes considerations that speech and background noise has different perceptions on human beings, and speech signals are non-stationary. It is a time-scale distribution of signal, and uses wavelets as its analysis tool, which makes a good approximation of some hearing properties. Computer simulations show that the proposed perceptive scalogram is very robust to additive white Gaussian noise for different languages (e.g. English, Putonghua, Cantonese).
Incorporating Dictionary and Corpus Information into a Context Vector Measure of Semantic Relatednes

This is to certify that I have examined this copy of master's thesis by SIDDHARTH PATWARDHAN and have found that it is complete and satisfactory in all respects, and that any and all revisions required by the final examining committee have been made. Acknowledgments I would like to take this opportunity to thank a number of people, without whose support and encouragement this thesis would not have been possible. Firstly, I would like to thank my advisor Dr. Pedersen for being so thorough and patient, and for seeing me through this research till the end. I would like to thank my committee members, Dr. Gallian and Dr. Turner, for going over the thesis so carefully and for their insightful suggestions. I would also like to thank Bano, whose work we built upon and who was full of ideas throughout. I thank my fellow NLP group members – Saif, Bridget and Amruta – for their ideas and suggestions and my colleague Navdeep for proofreading and providing her thoughts on the thesis. I am grateful to Jason Rennie for providing a wonderful interface to WordNet and to Mona Diab for her feedback on the measures. I am also grateful to Diana Inkpen for her insights on the Vector measure. Abstract Humans are able to judge the relatedness of words (concepts) relatively easily, and are often in general agreement as to how related two words are. For example, few would disagree that " pencil " is more related to " paper " than it is to " boat ". Miller and Charles (1991) attribute this human perception of relatedness to the overlap of contextual representations of words in the human mind, and there is at least some understanding of how humans are able to perform this task. However, it remains an open question as to how to create automatic computational methods that assign relatedness values or scores to pairs of concepts. A number of measures of relatedness have been proposed, most of them relying on information taken from the lexical database WordNet, and possibly augmented with corpus based statistics. In this thesis we study a number of such measures, and offer various refinements to those proposed We then compare these measures along with three others in the context of a human relatedness study and in word sense disambiguation experiments. We find that the measures of Jiang and Conrath (1997) and Banerjee and Pedersen …
Indexing methods for approximate string matching

Indexing for approximate text searching is a novel problem receiving much attention because of its applications in signal processing, computational biology and text retrieval, to name a few. We classify most indexing methods in a taxonomy that helps understand their essential features. We show that the existing methods, rather than completely diierent as they are regarded, form a range of solutions whose optimum is usually somewhere in between.
Escala de Encuentro de Beneficio para pacientes cardiacos

Resumen :El encuentro de beneficio, que se define como la percepcion de cambios positivos por parte del individuo como resultado de su enfrentamiento a un suceso vital adverso, ha sido asociado con bienestar emocional y mejor salud. El objetivo del presente estudio fue analizar las propiedades psicometricas de la Benefit Finding Scale (BFS; Antoni et al., 2001) en una muestra de pacientes que acababan de sufrir un primer episodio cardiaco (n=153). Los resultados mostraron que en la escala se pueden distinguir tres dimensiones que recogen aspectos relacionados con el crecimiento personal, la importancia de la familia y la aceptacion de las situaciones, aunque tambien es posible emplearla como una escala unidimensional. Tanto la escala total como las tres subescalas mostraron alta consistencia interna y estabilidad temporal relativa, asi como adecuada validez de criterio. Se concluye que puede ser empleada con total garantia y se discute la idoneidad de realizar analisis confirmatorios. Abstract : Benefit Finding Scale for cardiac patients . Benefit finding, which is defined as the perception of positive changes by the individual because of his confrontation with an adverse life event, has been associated with emotional well-being and better health. The main objective of this study was to analyze the psychometric properties of the Benefit Finding Scale (BFS; Antoni et al., 2001) in a sample of patients who had just suffered a fi rst cardiac event (n = 153). The results showed that in this scale three dimensions can be distinguished which collect aspects of personal growth, the importance of family and acceptance of situations, although it can also be used as a one-dimensional scale. Both the total scale and the three subscales showed high internal consistency and relative temporal stability, and adequate criterion validity. It is concluded that it can be used with full warranty and the suitability of confi rmatory analyses is discussed.
Bayesian Signal Processing: Classical, Modern and Particle Filtering Methods

Bayesian-based signal processing is expected to dominate the future of model-based signal processing for years to come. This book develops the "Bayesian approach" to statistical signal processing for a variety of useful model sets with an emphasis on nonlinear/non-Gaussian problems, as well as classical techniques. Current applications and simple examples motivate the models and prepare the reader for developments in subsequent chapters. Although designed primarily as a graduate textbook, Bayesian Signal Processing is also useful to signal processing professionals and scientists.
Comparative Study of Synchronous Machine, Model 1.0 and Model 1.1 in Transient Stability Studies with and without PSS

This paper represents the modelling differences of Single Machine Infinite Bus (SMIB) system with a Power System Stabiliser (PSS) developed in MATLAB/SIMULINK software. In this model the synchronous generator is represented by Model 1.0 and Model 1.1 in which they have only generator main field winding for the former and a damper winding on q axis in addition to the main field winding in the latter. This paper provides a view into the fact how power system returns to normal or stable operation after being subjected to various kinds of disturbances. Keywords— Model 1.0, model 1.1, Single Machine Infinite Bus (SMIB), modelling and simulation, MATLAB/SIMULINK, Power System Stabilizer (PSS).