Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-Time Target Following Using an Unmanned Rotorcraft with a Laser Rangefinder

Real-Time Target Following Using an Unmanned Rotorcraft with a Laser Rangefinder Bryce S. Pincock Department of Electrical and Computer Engineering Master of Science Micro-unmanned aerial rotorcraft are quickly gaining acceptance as indoor platforms for performing stealth, surveillance, and rescue and reconnaissance missions. These rotorcraft are generally required to operate in cluttered, unknown, and dynamic GPS-denied environments, which present threats to the safe operation of the vehicle. To overcome these environmental challenges, we describe a system that is capable of localizing itself by producing accurate odometry estimates that can detect and track moving objects and avoid collisions with obstacles while following a moving target using a laser range finder. Our system has been implemented in the Simulink environment in MATLAB. Various simulations have shown our methods to work well, even in the presence of sensor noise and out-of-plane motion. Our system is capable of localizing itself within ±20 mm in North and East and ±0.5 degrees in ψ while detecting and tracking maneuvering objects. A potential field method is then used to avoid collisions with obstacles while following a moving target.
Instructions for EACL-09 Proceedings

This document contains the instructions for preparing a camera-ready manuscript for the proceedings of EACL-09. The document itself conforms to its own specifications, and is therefore an example of what your manuscript should look like. These instructions should be used for both papers submitted for review and for final versions of accepted papers. Authors are asked to conform to all the directions reported in this document.
Rate-Distortion Optimized Packet Scheduling for Video Streaming: Optimizing video delivery in packet networks

Internet video streaming places new demands on source coding and network transport algorithms. The challenge is to deliver compressed video packets before their play-out deadline, despite of varying throughput, packet delay, and loss. The book provides an optimization framework for packet scheduling in video streming that maximizes the video quality at the receiving client while taking into account the above constraints. We derive instances of our framework for several advanced video streaming architectures, applications, and coding techniques. These include streaming over multiple network paths or from multiple media servers, streaming from an intermediate network proxy, and streaming with rich acknowledgements. We assess the performance of our framework through series of systematic experiments in all of these scenarios. The experimental results are accurately predicted through our analysis. In addition, we evaluate the performance of rate-distortion optimized packet scheduling for streaming over network traces of packet losses and packet delays collected in the Internet.
Analyse Factorielle Neuronale pour Documents Textuels

En recherche documentaire, on représente souvent les documents textuels par des vecteurs lexicaux de grande dimension qui sont redondants et coûteux. Il est utile de réduire la dimension des ces représentations pour des raisons à la fois techniques et sémantiques. Cependant les techniques classiques d’analyse factorielle comme l’ACP ne permettent pas de traiter des vecteurs de très grande dimension. Nous avons alors utilisé une méthode adaptative neuronale (GHA) qui s’est révélée efficace pour calculer un nombre réduit de nouvelles dimensions représentatives des données. L’approche nous a permis de classer un corpus réel de pages Web avec de bons résultats.
Use case oriented medical visual information retrieval & system evaluation

Large amounts of medical visual data are produced daily in hospitals, while new imaging techniques continue to emerge. In addition, many images are made available continuously via publications in the scientific literature and can also be valuable for clinical routine, research and education. Information retrieval systems are useful tools to provide access to the biomedical literature and fulfil the information needs of medical professionals. The tools developed in this thesis can potentially help clinicians make decisions about difficult diagnoses via a case-based retrieval system based on a use case associated with a specific evaluation task. This system retrieves articles from the biomedical literature when querying with a case description and attached images. This thesis proposes a multimodal approach for medical case-based retrieval with focus on the integration of visual information connected to text. Furthermore, the ImageCLEFmed evaluation campaign was organised during this thesis promoting medical retrieval system evaluation.
Some improvements in the reinforcement learning of a mobile robot

The paper presents application of the reinforcement learning to autonomous mobile robot moving learning in an unknown, stationary environment. The robot movement policy was represented by a probabilistic RBF neural network. As the learning process was very slow or even impossible for complicated environments, there are presented some improvements, which were found out to be very effective in most cases
Midnormal-based Area Localization Algorithm

【Abstract】This paper provides a range-free localization algorithm——Midnormal-based Localization Algorithm(MBLA), which is based on midnormal. This localization scheme, which belongs to range-free localization algorithm, can save the energy caused by measuring range and can achieve good localization accuracy. By theory analysis and simulation, it shows that MBLA is better than APIT algorithm in localization accuracy and communication costs.
B-8-38 Dantzig Selector Algorithm for Sparse Multipath Channel Estimation

Sparse multi-path channels (MPC) are often encountered in high data rate wireless communication applications. Conventional linear MPC methods, such as the least squares (LS), do not exploit the sparsity [1] of MPC. Based on the compressed sensing (CS) theory[2], accurate sparse MPC estimator can be obtained by solving a Lasso problem even in the presence of noise. In this paper, a novel CS-based sparse MPC method by using Dantzig selector (DS) [3] is proposed. This method exploits a channel’s sparsity to reduce the length of training sequence and, hence, increase spectral efficiency. Simulation results demonstrate a significant reduction of the number of training sequence compared to the LS and Lasso algorithms.
Awaiting the sensation of a short, sharp shock: twist-centred story generation by transformation

A mechanism whereby a human storyteller may compose a twist-centred story, that is, a story posssessing a surprising ending that obliges the addressee (audience or reader) to reappraise their understanding of what has preceded it, is proposed. The mechanism involves the generation of an overt story, its conversion into a concealed story, and the building of a twist phase whose function is to destroy the credibility of the overt story and reveal the concealed story. A piece of software, TWISTER, which models this process, is described. Examples of its operation are given.
" Learning Role-Playing Games " : méthodologie et formalisme de description pour l'assistance à la conception - Premiers résultats d'expérimentation

Les effets reconnus du jeu sur l'engagement incitent de plus en plus les entreprises a utiliser des dispositifs de formation integrant le jeu, tels que les Learning Role Playing Games. Cet article presente la methodologie d'assistance a la conception et le formalisme que nous proposons pour accompagner les concepteurs pedagogiques dans l'elaboration de tels dispositifs. Les premiers resultats d'une experimentation menee semblent valider certains principes cles : une methodologie basee sur l'explicitation des ressorts de jeu et la reutilisation de scenarios ; et un formalisme de description visuelle simple pour structurer la reflexion et faciliter les echanges et le partage.
Informing Visual Poetry: Information Needs and Sources of Artists

ers, and second by the nature of the research available. My hypothesis evolved into a critical one about the nature of the research in the field. I quickly came to believe that the informa tion-seeking behavior studies were rife with unidentified assumptions which distorted their results. Therefore, my research followed two streams: the first, to find out what has been done in the LIS field and try to come to grips with why I find the existing research so unsatisfactory; and second, to find out through a case
Gestural Motivation, Learning and Evaluation using Interactive Game Design

Emerging game interface design increasingly incorporate human gestural learning. Electronic gestural games, when effectively designed, offer high levels of user engagement. The chapter to follow presents theatrical practice, an art form that manufactures expressive gestures in set paradigms, as a model for gestural game systems design. A rigorous definition of gesture is first developed from yoga practice as an exercise for performance preparation, emphasising the gesture as a still form executed within a narrative context. The theatrical model is then refigured into an interactive gestural film game design, To be or not be, designed and programmed by Roman Danylak and Alastair Weakley, based on a section of text from Shakespeare’s play Hamlet (Danylak and Weakley, 2007). Evaluation of gestural learning is integrated into the system. The focus is on the generation of the physical aspect of the gesture as a movement.
sMax: A Multimodal Toolkit for Stock Market Sonification

In this work, we present sMax a multimodal toolkit for stock market data sonification. Unlike most research focusing their effort primarily on the sonification of single stock information, sMax provides an auditory display for the user to monitor parallel distributed data. sMax uses a set of Java and Max modules to map real time stock market information into recognizable musical patterns. One of the main design goals of the toolkit is to allow low-latency controls over real-time data sonification. Because of its object-oriented architecture, sMax can be easily extended by the user when additional functionality is required. The project outcomes range from the creation of art installations to auditory display for mobile computing devices.We present the theoretical background, and the structure of the program.
Successful Reading Strategies To Meet the Texas Reading Initiative Components: A Literary Review and Manual for Administrators, Teachers, and Parents.

This paper provides a literary review and research-based techniques for teaching reading. The paper also examines the different philosophies of reading to ascertain beneficial commonalities. Based on the literature review, a manual was produced to support administrators, teachers, and parents in securing quality reading instruction. Appendix A contains teacher and administrative conversations at Wilshire Elementary; Appendix B contains the manual. (Contains 48 references.) (NKA) Reproductions supplied by EDRS are the best that can be made from the original document. SUCCESSFUL READING STRATEGIES TO MEET THE TEXAS READING INITIATIVE COMPONENTS: A LITERARY REVIEW AND MANUAL FOR ADMINISTRATORS, TEACHERS, AND PARENTS Bridget Baker P.3 Karr-Kidwell, Ph.D. Hurst-Euless-Bedford I.S. D. /Sp. Educator Professor, Educational Leadership Masters, "MU Texas Woman's University U.S. DEPARTMENT OF EDUCATION Of lice of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) This document has been reproduced as received from the person or organization originating it. Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. BEST COPYAVAILABLE 2 1 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC)
ANALISIS TWITTER UNTUK MENGETAHUI KARAKTER SESEORANG MENGGUNAKAN ALGORITMA NAÏVE BAYESS CLASSIFIER

Abstrak Analisis kepribadian seseorang pada beberapa perusahaan maupun instansi merupakan hal yang sangat penting. Analisis tersebut dapat dijadikan pertimbangan dalam perekrutan karyawan maupun untuk kenaikan jabatan. Analisis kepribadian secara konvensional membutuhkan beberapa sumber daya seperti ruangan dan waktu yang cukup lama. Penelitian ini memberikan solusi dengan cukup menggunakan media twitter berdasarkan hasil tweets dari seseorang. Proses klasifikasi menggunakan algoritma Naive Bayess Classifier. Peneliti menggunakan 10 pengguna twitter sebagai data latih dan 10 pengguna twitter sebagai data uji. Hasil yang diperoleh tersebut kemudian dibandingkan dengan data dari pakar, sehingga didapat keakurasian data mencapai 100%. Kata kunci:Naive Bayess Classifier (NBC), twitter, analisis kepribadian
Relative and non-relative databases performance with an Android platform application

This article gives an introduction to NoSQL movement and how it can help in creating modem application trends of Web 2.0 by its scalability and performance. To achieve the objectives of this work, three types of databases have been tested to see which of them will be the best to work with mobile devices working on Android system. All received results were presented and commented.
An Assessment Procedure and a Set of Criteria for Use in the Evaluation of 'Computerized Models and Computer-Based Modelling Tools'.

Abstract : This paper contains a flexible and adaptive assessment procedure and a set of assessment criteria for use in having assessments conducted of general purpose computerized models and computer-based modelling tools. Basically, the procedure requires the use of a third party to make subjective judgments on a set of criteria specified by the assessment sponsor and to make an overall recommendation on the use of the model or modelling tool. (Author)
Evaluation of Network Comparison Approaches

Network visualizations have been used for quit long time. Different disciplines use this visualization to compare a given dataset. Identifying better comparison approach that is used for information visualization is indispensable both for the people who are using it and for developers who are looking for a better way of visualizing huge data. In this thesis a task based approach has been used to analyze two different network comparison approaches namely Juxtaposition (showing different objects compared in separate space or time) and Superposition (overlaying objects in the same space). Thirty students at Linnaeus University have participated in the questionnaire to evaluate the usability of the two approaches. SPSS tool is used to analyze the data collected from the participants and the result explicitly indicates that there is no significant variation between Juxtaposition and Superposition comparison approaches. The result can be used as a recommendation for domain specific professionals and developers in their quest for better network comparison for their audience.
Méthode d'évaluation contingente et Evaluation économique d'un projet de réserves naturelles dans le Golfe du Morbihan (France)

Cette these s'inscrit dans la perspective de la creation de reserves naturelles dans le Golfe du Morbihan. Appliquant la methode d'evaluation contingente (MEC), elle evalue les benefices associes a ces dernieres du point de vue de la population touristique, et discute des moyens permettant de capter les benefices et les transformer en revenu pour le producteur des futures reserves naturelles. On evalue les benefices en tenant compte de deux phenomenes relativement peu consideres dans la litterature relative a la MEC: (1) la sensibilite eventuelle des agents enquetes aux supports de paiement proposes; (2) l'existence possible d'un biais de selection lie a un ou plusieurs facteurs explicatifs du consentement a payer (CAP), biais de selection qui s'ajoute a celui generalement controle dans les etudes contingentes, a savoir celui correspondant au choix des individus d'accepter de payer ou non. Une enquete contingente a ete realisee durant l'ete 2007 au cours de laquelle un groupe de touristes a donne son CAP par le biais d'une taxe d'hebergement, et un autre par l'intermediaire d'un ticket d'entree. Les resultats montrent que les modes de paiement influent sur la decision des individus d'accepter de payer, d'une part, et sur les montants indiques, d'autre part. Ils confirment de plus l'existence des deux types de biais de selection suspectes, et donc la necessite de les controler lors de l'estimation econometrique du CAP. Au-dela de ces deux questions (impact des vecteurs de paiement sur les preferences individuelles et double biais de selection), la these montre que, du point de vue de la population touristique, il y a bien un benefice a proteger la nature du Golfe du Morbihan au travers des reserves naturelles. Enfin, s'inscrivant dans un cadre fictif de financement de ces espaces naturels a l'aide du droit d'entree, dont le montant serait estime a partir des CAP obtenus, la these discute de la pratique d'un tarif unique, dans une logique de maximisation des recettes, et d'un tarif differencie, dans une logique d'equite.
Automatic Detection of Abnormal Behavior in Computing Systems

OF THESIS Automatic Detection of Abnormal Behavior in Computing Systems I present RAACD, a software suite that detects misbehaving computers in large computing systems and presents information about those machines to the system administrator. I build this system using preexisting anomaly detection techniques. I evaluate my methods using simple synthesized data, real data containing coerced abnormal behavior, and real data containing naturally occurring abnormal behavior. I find that the system adequately detects abnormal behavior and significantly reduces the amount of uninteresting computer health data presented to a system administrator.
Teach yourself Cobol in 21 days

Q: Who programs with COBOL? A: Numerous corporations and nearly every beginning and student programmer -- and this is the ideal tutorial to get them started. Following the very popular 21-day lesson plan, this book shows the beginner how to implement the strengths of the COBOL language for genuine programming results. -- Each chapter features review questions and exercises -- great for self-teaching and concept reinforcement -- Includes shaded syntax boxes, handy references, and real-world examples of everyday programming code -- Line-by-line programming analyses help readers understand exactly what's going on -- and when
Building models of learning and expertise with CHREST

Developing detailed process models of cognitive phenomena is important to the development of cognitive science as only then can cognitive theories be used to generate quantitative predictions for complex phenomena. The history of computational modelling includes many diverse approaches, from models of single phenomena (such as Sternberg’s model of STM; Sternberg, 1966), to integrated models covering a wide range of different phenomena (such as Soar (Newell, 1990) and ACT-R (Anderson, 1998)), to over-arching principles, which guide the development of models in disparate domains (such as connectionist approaches, or embodied cognition). The CHREST system, which forms the heart of this tutorial, was developed from the earlier EPAM model. EPAM provided the impetus to develop the chunking theory, which has been an important component of theories of human cognition ever since. Focussing on learning phenomena, CHREST places a great emphasis on how the model’s information is learnt through interactions with an external environment. Thus, CHREST models are typically developed from large quantities of naturalistic input. For example, in modelling expert perception of chess players, actual chess games are used. Similarly, in modelling the acquisition of syntax, large corpora of mother-child interactions are employed to develop the model’s long-term memory.
Language Planning: From Practice to Theory

Part 1 Initial concepts for language planning: a contextual and terminological basis for planning a framework for planning - who does what to whom? goals of language planning. Part 2 Key issues in language planning: language planning process social purpose planning - education and literacy the economics of language planning. Part 3 Case studies in language planning: language planning and power bilingualism and language status specific purpose language planning. Part 4 Towards a theory of language planning: conceptualizing language planning - key elements conceptualizing language planning - key issues.
Applications of adaptive control based on nonlinear static characteristic

This paper proposes a real-time control algorithm based on a model reference adaptive control mechanism for a class of nonlinear systems. The reference model is computed off-line, while the controller's parameters are determined on-line, using a static gain adaptation criterion. The relevance of this approach was tested on several nonlinear processes, using a real-time applications package developed in LabWindows/CVI. A solution designed for a class of nonlinear systems, based on parametric adaptation for an RST controller is presented. Issues on the stability of the solution are also discussed.
A systematic strategy to incorporate intensification and diversification into ant colony optimisation

Modern meta-heuristic search strategies are often used to solve discrete optimisation problems with little regard to varying the level of search intensity. Search intensity refers to whether the search concentrates in a particular region of space or is allowed to visit disparate regions. An intensification/diversification strategy for ant colony optimisation is developed based on the tabu search notion of the frequency of incorporation of elements into solutions. The tabu search meta-heuristic in particular has had a set of systematic intensification/diversification strategies developed for it. In this paper, these strategies are adapted for use in the relatively new ant colony optimisation techniques. The travelling salesman problem is used as the benchmark with encouraging results, particularly for larger problem instances.
Multimedia Content Analysis: Theory and Applications

Multimedia Content Analysis: Theory and Applications covers the latest in multimedia content analysis and applications based on such analysis. As research has progressed, it has become clear that this field has to appeal to other disciplines such as psycho-physics, media production, etc. This book consists of invited chapters that cover the entire range of the field. Some of the topics covered include low-level audio-visual analysis based retrieval and indexing techniques, the TRECVID effort, video browsing interfaces, content creation and content analysis, and multimedia analysis-based applications, among others. The chapters are written by leading researchers in the multimedia field.
Advanced grammar in use : a reference and practice book for advanced learners of English

A fully updated version of the highly successful grammar title. This new revised edition focuses specifically on the complexities of grammatical choices that advanced students need to appreciate. It also includes a comprehensive Basic Grammar Reference so students can easily review their understanding of language areas they have previously studied. This edition, without answers, is ideal for use in the classroom.