Miracle-dz/UniFAR-FTUs huggingface dataset:
Extracting visual information from text: using captions to label faces in newspaper photographs

There are many situations where linguistic and pictorial data are jointly presented to communicate information. In the general case, each of these two sources conveys orthogonal information. A computer model for integrating information from the two sources requires an initial interpretation of both the text and the picture followed by consolidation of information. The problem of performing general-purpose vision without apriori knowledge (needed in such a situation) is nearly impossible. However, in some situations, the text describes salient aspects of the picture. In such situations, it is possible to extract visual information from the text, resulting in a conceptualised graph describing the structure of the accompanying picture. This graph can then be used by a computer vision system in the top-down interpretation of the picture. In this dissertation, a computational model for understanding pictures based on information in accompanying captions is presented. The use of SNePS (Semantic Network Processing System) as the common intermediate representation for both linguistic and pictorial information is discussed. Specifically, we present the knowledge representations and interpretations that comprise the model. The focus of this dissertation is on the generation of a conceptualised graph, a SNePS network which reflects a cognitive agent's conceptualisation of a picture based on information contained in a descriptive caption. This representation includes information about objects appearing in the picture and spatial constraints between them, information used in the subsequent task of labelling objects in the picture. A substantial portion of the dissertation is devoted to techniques of extracting such visual information from text. The techniques are based on both syntactic and semantic considerations. We classify linguistic methods of identifying objects in pictures into several broad categories and, for each category, discuss the manner in which visual information can be extracted. The problem of dynamically generating model descriptions for objects (and for entire pictures) is illustrated. A theoretical solution to this problem is presented and illustrated through an example. As a test of the model, we present an implementation, PICTION, whereby information obtained from parsing a caption of a newspaper photograph is used to identify human faces in the photograph. A key component of the system is the utilisation of spatial constraints in order to reduce the number of possible labels that could be associated with a face. These constraints are generated by a natural-language processing system that examines the caption in detail. We report on the extensive testing of the system and discuss the results obtained. The method of evaluating the performance of PICTION can be used by any face-identification system.
Software visualization : programming as a multimedia experience

Part 1 An overview of software visualization: an introduction to software visualization, Blaine Price et al The early history of software visualization, Ronald Baecker, Blaine Price a taxonomy of algorithm animation displays, Marc H. Brown. Part 2 Techniques - what to draw? how to draw it? Printing and publishing C programs, Ronald Baecker, Aaron Marcus Visualizing graph models of software, Stephen North A menagerie of program visualization techniques, Clinton L. Jeffery Fundamental techniques for algorithm animation displays, Marc H. Brown, John Hershberger smooth continuous animation for portraying algorithms and processes, John Stasko algorithm animation using interactive 3D graphics, Marc H. Brown, Marc A. Najork Program auralization, Marc H. Brown, John Hershberger User interface issues for algorithm animation, Peter A. Gloor. Part 3 Joining pictures to code - how to specify a visualization: Interesting events, Marc H. brown, Robert Sedgewick Declarative visualization, Gruia-Catalin Roman Building software visualization through direct manipulation and demonstration, John Stasko. Part 4 Visualization for specialized domains: the truth about Prolog execution, Marc Eisenstadt, Mike Brayshaw Visualizing knowledge based systems, John Domingue Visualizing concurrent programs, Eileen Kraemer. Part 5 Visualization for software engineering: Visualization for software engineering -programming environments, Steven P. Reiss ZStep 95 - a reversible, animated source code stepper, Henry Lieberman, Christopher Fry Visualization of dynamics in Real World software systems, Doug Kimelman et al Maintenance of large systems, Stephen G. Eick Visualizing object-oriented software execution, Wim De Pauw et al Visualization for parallel performance evaluation and optimization, Michael T. Heath et al. Part 6 Visualization for education: Sorting out Sorting - a case study of software visualization for teaching computer science, Ronald Baecker Software visualization in teaching at Brown University, John Bazik et al Using software to teach computer programming - past, present, and future, Paul Mulholland, Marc eisenstadt animated algorithms, Peter A. Gloor. Part 7 Evaluation: Empirically assessing algorithm animation as learning aids, John Stasko, Andrew Lawrence a principled approach to the evaluation of SV - a case study in Prolog, Paul Mulholland Cognitive questions in software visualization, Marian Petre et al.
Feature sets for screenshot detection

Abstract : As digital media capacity continues to increase and the cost continues to decrease, digital forensic examiners need progressively more efficient, effective, and tailored tools in order to perform useful media triage. This thesis documents the development of feature sets for classifying images as either screenshots or non-screenshots. Using linear- and intensity-based image information we developed the first (to our knowledge) screenshot detection algorithm. Four feature sets were developed and combinations of these feature sets were tested, with the best results achieving an F-score of 0.98 in ten-fold cross-validation. Requiring less than 0.18 seconds to analyze and classify an image, this is a critical contribution to the state-of-the-art of media forensics.
Analytical study on active and nonlinear control for large earthquakes

The feasibility of nonlinear control rules consisting of the conventional hybrid mass damper (HMD) method with a control force limiter and of the bounded-force control (BFC) method on an existing building, Kyobashi Seiwa Building, which is equipped with an active seismic response control system, were investigated analytically using the JMA-Kobe ground motion of the Kobe Earthquake as an input. As a result, it has been concluded that the existing system can control the responses to l0cm/s ground motion by changing only the control algorithm. The control system with 10t weight, and HMD-plus-limiter and BFC method are promising up to 50cm/s ground motion. The control force, stroke and control power requirements of the BFC and HMD-plus-limiter method were well within the practical range.
AUTOMATIC INCIDENT DETECTION THROUGH VIDEO IMAGE PROCESSING

Automatic Incident Detection is one of the major challenges in urban freeway operations. In spite of recent efforts worldwide, fast and reliable Automatic Incident Detection has been elusive. To a large extent this can be attributed to the limitations of existing detection devices. To overcome this problem, a new wide-area video detection system called AUTOSCOPE was recently developed in Minnesota and was installed in the field for rigorous around-the-clock testing for over two years. As a result, AUTOSCOPE was substantially improved, weatherized and expanded to multiple camera units. Subsequently an incident detection system was developed, based on AUTOSCOPE measurements, installed at a site in Minneapolis and evaluated under continuous around-the-clock, real-time operation for over four months. In parallel to this, a 39-camera, seven-mile, machine vision, live laboratory was designed on Interstate-394 for full deployment and validation of the incident detection system. In this paper the development and testing of the machine vision-based incident detection system is presented, along with the long-term AUTOSCOPE test results and plans for future improvements.
Self-scheduled H/sub /spl infin// control of a missile via LMIs

This paper is concerned with the application of advanced linear parameter-varying (LPV) techniques to the global control of a missile. The LPV technique considered in this paper is an extension of the standard H/sub /spl infin// synthesis technique to the case where the plant depends affinely on a time-varying vector /spl theta/(t). Working in the class of LPV plants, the proposed methodology produces an LPV controller. That is, a controller which is automatically "gain-scheduled" along the trajectories of the plant. LPV controllers solutions to the problem are characterized via a set of Riccati linear matrix inequalities (LMI) which can be solved using convex programming. The missile under consideration is a very demanding plant. The power and advantages of the proposed methodology as an efficient tool to handle the global performances and robustness of the missile on its whole operating range are demonstrated. <<ETX>>
A VHDL library of LNS operators

Logarithmic number system (LNS) have been shown to be a competitive replacement of floating-point (FP) arithmetic, for precisions up to 32 bits. This paper presents a library of LNS operators aimed at smaller precisions typical of DSP applications. The novelty of our approach is the use of multipartite table compression in the addition and subtraction operators. The paper compares this approach to other published implementations, and to similar FP operators. The operators have been developed and tested on FPGAs, but they are written in fairly standard VHDL. They are available for download from www.ens-lyon.fr/LIP/Arenaire.
A framework for analysing types of user information on social networking sites

Social Networking Sites (SNS) are web-based applications used by a very large number of users for networking and communication by posting different types of information on their SNS. While some of the information posted on SNS can prove to be useful for users, making the users as well as their achievements known to a wider set of people, some information can be a cost to users such as expressing anger, being critical or abusive, voicing political opinions or racist connotations. To date, there is no information classification scheme that can help users determine useful and detrimental SNS information. This paper classifies types of information users post on SNS by grouping them into categories guided by literature, to establish information types that can have useful outcomes and types of information that can have a detrimental impact on users. It adds to the theory of SNS on types of user information, as well as guide practitioners for SNS design so that it is a useful networking tool with little negative ramifications.
An Efficient Peer-to-Peer Distributed Scheduling for Content Based File Sharing in Manet

-File sharing applications in Mobile Ad hoc Networks plays a vital role in modern years. The effectiveness of file querying suffers from the distinct properties of such networks including node mobility and restricted communication range and resource. A spontaneous method to lighten this problem is to create file duplication in the network. No research has focused on the universal best reproduction creation with least querying delay. In this research work P2P content-based file sharing system, namely Improved SPOON (ISPOON) is implemented for disconnected MANETs. The method uses an interest extraction algorithm to obtain a node’s attention from its files for content-based file searching. For efficient file searching, Social network based P2P cOntent-based file sharing in mObile ad hoc Network (SPOON)groups common-interest nodes that often meets with each other as communities and consider storage as resource for replica, but ignore the fact that the file holders frequently meet other nodes and also plays an important role in determining file accessibility. A node that meets frequently with others nodes affords higher availability to its files. This becomes even more apparent in lightly distributed MANETs, where nodes meet disruptively the protocol can attain minimum querying delay at a lower cost than existing replication protocols.
IRC on your dime? What you really need to know about Internet relay chat

The purpose of this paper is to describe recent trends CIAC has encountered while working with sites that have been compromised. Frequently, the intruders set up and run Internet Relay Chat (IRC) to exchange information and to show off their success at having compromised a site. Invariably, this protocol consumes bandwidth, uses CPU cycles and is a source of embarrassment for the site. This paper focuses on these negative aspects of IRC and concedes that one can cite numerous examples where IRC is used in a positive manner.
On the margins of standard compounding: the phrasal compound adjective playing with the norms

This article investigates the boundary between acceptable and unacceptable phrasal compound adjectives in pre-nominal position. Considered marginal by many existing studies, the phrasal compound is often said to be non-standard; phrasal compounding consists of the linking of several lexical elements linked together, usually by multiple hyphenation.First, this article will explore the ways in which this multi-faceted element is defined in the existing literature; I will seek to determine if the phrasal compound could potentially become part and parcel of the existing definitions and typologies of compounding. Finally, I will consider whether phrasal compound adjectives are still considered marginal when they occur in works of literature.
The Neuroscience of Language: On Brain Circuits of Words and Serial Order

How is language organized in the human brain? The Neuroscience of Language, published in 2003, puts forth a systematic model of language to bridge the gap between linguistics and neuroscience. Neuronal models of word and serial order processing are presented in the form of a computational, connectionist neural network. The linguistic emphasis is on words and elementary syntactic rules. Introductory chapters focus on neuronal structure and function, cognitive brain processes, the basics of classical aphasia research and modern neuroimaging of language, neural network approaches to language, and the basics of syntactic theories. The essence of the work is contained in chapters on neural algorithms and networks, basic syntax, serial order mechanisms, and neuronal grammar. Throughout, excursuses illustrate the functioning of brain models of language, some of which are accessible as animations on the book's accompanying web site. It will appeal to graduate students and researchers in neuroscience, psychology, linguistics, and computational modeling.
A reconfigurable WSI neural network

The solution presented consists of implementing the N neuron Hopfield network as a systolic square array made up of N/sup 2/ cells. Systolic arrays are well suited to wafer-scale integration (WSI). Inherent error tolerance of neural networks facilitates wafer design. However, a wafer-level reconfiguration is required to bypass faulty chips. The principle and the architecture of a switching element which provides a flexible wafer-level reconfiguration is described. <<ETX>>
Immersive Interactive Learning Labs for STEM Education

This paper describes using the digital dome theater as an Immersive Interactive Learning Lab (I2L2) for teaching K-12 STEM curricula. The I2L2 integrates several important aspects of education practice and theory for advancing shared 3D virtual environments as tools for inquiry and discovery learning. We describe our findings from different implementations of a new interactive game, the Ghosts of Tikal. Findings indicate that students’ learning of conceptual information is enhanced in the I2L2 environment and that interactive games having a rich suite of content can readily be adapted to learners of varying needs and abilities.
Necessary and sufficient conditions for robust stability of a continuous system-the continuous dependency case illustrated via multilinear dependency

It is noted that problems of testing robust stability of linear systems with structured uncertainty are formulated, from the mathematical viewpoint, as methods for testing the nonvanishing of a polynomial whose coefficients are functions of interval (uncertain) parameters, in a certain domain in the complex plane. In the present work, a recently derived theorem is reformulated (with new direct proof) to be pertinent in particular to such problems, where the domain is the closed right-half complex plane. Applying this reformulated theorem to the two-parameter multilinear dependency case, the author obtains explicit necessary and sufficient conditions. >
Using the Nearest Neighbor Algorithm to Build a Web-Based Recommender System for House Trading and Matching

This paper is to present one of the techniques of data mining called the nearest neighbor algorithm to build a web-based recommender system for house trading and matching. The nearest neighbor algorithm is a pragmatic and highly accurate algorithm and can be used in the recommender system. Its use could enhance the systems matching ability so that users can easily obtain the information they need. This system offers a better way to get beyond the disadvantages of the traditional conditional or Boolean method that real estate agencies use to search for appropriate houses. Through improving the traditional but inefficient approach to searching, users will not waste much time without getting useful information or good offers of real estate.
Talking signs: a remote signage, solution for the blind, visually impaired and reading disabled

-A system of signage which can be read from a distance by a person who is blind is needed to provide a truly accessible environment. Such a system, the Talking Signs: is described here. Infrared transmitters are used to send sign contents to receivers carried by blind travelers, who can receive the sign information in the form of speech. The need for such a system is discussed, along with its technology, history and progress to date.
System-embedded Intelligence in Architecture

Founded on the imperative to understand, evaluate and consciously decide about the use of digital media in architecture this research not only aims to analyze and critically assess computer-based systems in architecture, but also proposes evaluation and classification of digitally driven architecture through procedural- and object-oriented studies. It, furthermore, introduces methodologies of digital design, which in-corporate intelligent computer-based systems proposing development of prototypical tools to support the design process. Bijlagen op DVD in TU Delft Tresor collectie, TR diss 5272
A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems

Contents: Preface. - Introduction. - Preliminaries. - Problem Formulations. - Vapnik-Chervonenkis and Pollard (Pseudo-) Dimensions. - Uniform Convergence of Empirical Means. - Learning Under a Fixed Probability Measure. - Distribution-ree Learning. - Learning Under an Intermediate Family of Probabilities. - Alternate Models of Learning. - Applications to Neural Networks. - Applications to Control Systems. - Some Open Problems.
A Hybrid Keyword Extraction Method Based on TF and Semantic Strategies for Chinese Document

Keyword extraction is important for information retrieval. This paper gave a hybrid keyword extraction method based on TF and semantic strategies for Chinese document. A new word finding method was proposed to find the new word not exist in the dictionary. Moreover the semantic strategies were introduced to filter the dependent words and remove the synonyms. Experimental results show that the proposed method can improve the accuracy and performance of keyword extraction.
Systematic Methods of Chemical Process Design

1. Introduction to Process Design. I. PRELIMINARY ANALYSIS AND EVALUATION OF PROCESSES. 2. Overview of Flowsheet Synthesis. 3. Mass and Energy Balances. 4. Equipment Sizing and Costing. 5. Economic Evaluation. 6. Design and Scheduling of Batch Processes. II. ANALYSIS WITH RIGOROUS PROCESS MODELS. 7. Unit Equation Models. 8. General Concepts of Simulation for Process Design. 9. Process Flowsheet Optimization. III. BASIC CONCEPTS IN PROCESS SYNTHESIS. 10. Heat and Power Integration. 11. Ideal Distillation Systems. 12. Heat Integrated Distillation Processes. 13. Geometric Techniques for the Synthesis of Reactor Networks. 14. Separating Azeotropic Mixtures. IV. OPTIMIZATION APPROACHES TO PROCESS SYNTHESIS AND DESIGN. 15. Basic Concepts for Algorithmic Methods. 16. Synthesis of Heat Exchanger Networks. 17. Synthesis of Distillation Sequences. 18. Simultaneous Optimization and Heat Integration. 19. Optimization Techniques for Reactor Network Synthesis. 20. Structural Optimization of Process Flowsheets. 21. Process Flexibility. 22. Optimal Design and Scheduling for Multiproduct Batch Plants. References. Exercises. Appendix A. : Summary of Optimization Theory and Methods. Appendix B. : Smooth Approximations for max { 0, f(x)}. Appendix C. : Computer Tools for Preliminary Process Design. Author Index. Subject Index.
1/F noise in MOSFETs

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.