Miracle-dz/UniFAR-FTUs huggingface dataset:
CliqueSquare: efficient Hadoop-based RDF query processing

Large volumes of RDF data collections are being created, published and used lately in various contexts, from scientific data to domain ontologies and to open government data, in particular in the context of the Linked Data movement. Managing such large volumes of RDF data is challenging due to the sheer size and the heterogeneity. To tackle the size challenge, a single isolated machine is not an efficient solution anymore. The MapReduce paradigm is a promising direction providing scalability and massively parallel processing of large-volume data. We present CliqueSquare, an efficient RDF data management platform based on Hadoop, an open source MapReduce implementation, and its file system, Hadoop Distributed File System (HDFS). CliqueSquare relies on a novel RDF data partitioning scheme enabling queries to be evaluated efficiently, by minimizing both the number of MapReduce jobs and the data transfer between nodes during query execution. We present preliminary experiments comparing our system against HadoopRDF, the state-of-the-art Hadoop-based RDF platform. The results demonstrate the advantages of CliqueSquare not only in terms of query response times, but also in terms of network traffic.
Dimensionality Reduction Techniques for Face Recognition

High level of image content analysis is required for several applications. This is taking more significance as the number of digital images stored is growing exponentially. On the one hand the technology should help store these images, on the other, enable us to develop newer algorithmic models aimed at efficient and quick retrieval of images. The entire captured data may not be applicable for an application and hence deriving a subset of data to achieve objective function is desirable. Face detection and recognition are preliminary steps to a wide range of applications such as personal identity verification, video-surveillance, facial expression extraction, gender classification, advanced human and computer interaction. A face recognition system would allow user to be identified by simply walking past a surveillance camera. Research has been devoted to facial recognition for years and has brought forward algorithms in an attempt to be as accurate as humans are. A face recognition system is expected to identify faces present in images and videos automatically. It can operate in either or both of two modes:
Rapid E-Learning And Desktop Virtualization In Education

Generally it is not easy for an instructor to prepare and deliver electronic courses via elearning. Therefore it is necessary to work and develop an easy method to deliver e-learning courses. In this context rapid e-learning can be used to develop e-learning courses in a more quick and easy course development. Desktop virtualization works through a centralized computing process environment to offer computing services. In order to implement rapid e-learning, a desktop virtual environment was set up. Rapid e-learning building process, virtual desktop building process were explained. Rapid e-learning was used by teachers and students. Finally the overall hybrid system cost was calculated and reported. In implementation rapid e-learning and desktop virtualization were combined. It was seen that the hybrid method was acceptable by teachers and students and fit the requirements. The cost reduction was %41 comparing with traditional desktop computing and e-learning system.
An improved multisection vector quantization model with application to Chinese digits recognition

In this paper, an improved model using multisection vector quantization (MVQ) is proposed and detailed experimental results are discussed. The major weakness of conventional MVQ is that it can not make segments accurately. Thus, a dynamic segmenting algorithm based on the Viterbi algorithm is presented. Moreover explicit state duration density and dynamic features are integrated into the model. Thus more acoustic information is depicted and a better performance is acquired.
REMAPP-PC; remote sensing image processing software for MS-DOS personal computers

91 449 A Documentation (Paper Copy) 91 449 B Installation and Executable Programs 91 449 C Executable Programs and Source Code 91 449 D Documentation and Landsat MSS Test Images (Canon City, Colorado) 91 449 E Landsat 4 TM Test Images (TM Disk 1 of 2) (Canon City and Central City, Colorado) 91 449 F Landsat 4 TM Test Images (TM Disk 2 of 2) (Canon City and Central City, Colorado) 91 449 G AVIRIS (NASA) Imaging Spectrometry Test Data
An adaptive scaffolding e-learning system for middle school students’ physics learning

This study presents a framework that utilizes cognitive and motivational aspects of learning to design an adaptive scaffolding e-learning system. It addresses scaffolding processes and conditions for designing adaptive scaffolds. The features and effectiveness of this adaptive scaffolding e-learning system are discussed and evaluated. An experiment was conducted within the domain of velocity and acceleration. The results revealed that the adaptive scaffolding system appeals to students and promotes improved performances and motivational outcomes. Specifically, the results suggested that learners with lower levels of knowledge who possessed extrinsic motivation benefited the most from the adaptive scaffolds. The implications of the design guidelines for developing personalized, adaptive scaffolding e-learning systems are discussed, and future research directions are recommended.
From Gesture to Speech

One of the major problems concerning the evolution of human language is to understand how sounds became associated to meaningful gestures. It has been proposed that the circuit controlling gestures and speech evolved from a circuit involved in the control of arm and mouth movements related to ingestion. This circuit contributed to the evolution of spoken language, moving from a system of communication based on arm gestures. The discovery of the mirror neurons has provided strong support for the gestural theory of speech origin because they offer a natural substrate for the embodiment of language and create a direct link between sender and receiver of a message. Behavioural studies indicate that manual gestures are linked to mouth movements used for syllable emission. Grasping with the hand selectively affected movement of inner or outer parts of the mouth according to syllable pronunciation and hand postures, in addition to hand actions, influenced the control of mouth grasp and vocalization. Gestures and words are also related to each other. It was found that when producing communicative gestures (emblems) the intention to interact directly with a conspecific was transferred from gestures to words, inducing modification in voice parameters. Transfer effects of the meaning of representational gestures were found on both vocalizations and meaningful words. It has been concluded that the results of our studies suggest the existence of a system relating gesture to vocalization which was precursor of a more general system reciprocally relating gesture to word.
Intelligent System for Improving Student Performance in Programming Language via Error Detection and Analysis

The development of an intelligent system to detect student' errors in the programming language and to improve his/her programming style is a difficult task; this is due to the difficulty of finding an effective method for teaching course that can be suitable for all students. This paper presents an intelligent system to improve student performance in java programming language; the system is composed of e-course, proposed student model and an advisory system. The ecourse is designed through the collecting of common programming errors via human expert, literature review, student diagnostic test and course analysis. A proposed student model is designed through literature review that includes the components of the student model. An advisory system is developed based on integrated knowledge resources; these resources are the extracted rules via decision tree, human experts and student tests. The artificial neural network is used for student prediction to assist student in learning the programming language course. KeywordsError Detection, Student Model, Decision Tree, Intelligent System, Artificial Neural Network.
Fundamentals of Social Work Research

Chapter 1. Science, Society, and Social Work Research Chapter 2. The Process and Problems of Social Work Research Chapter 3. Ethical and Scientific Guidelines for Social Work Research Chapter 4. Conceptualization and Measurement Chapter 5. Sampling Chapter 6. Group Experimental Designs Chapter 7. Single-Subject Design Chapter 8. Survey Research Chapter 9. Qualitative Methods: Observing, Participating, Listening Chapter 10. Mixing Methods and Comparing Methods and Studies Chapter 11. Evaluation Research Chapter 12. Quantitative Data Analysis Chapter 13. Qualitative Data Analysis Chapter 14. Reporting Research Appendix A: Questions to Ask About a Quantitative Research Article Appendix B: How to Read a Quantitative Research Article Appendix C: Questions to Ask About a Qualitative Research Article Appendix D: How to Read a Qualitative Research Article Glossary
Spatial and temporal coupling models for the discovery of binding events in ChIP-Seq data

In this thesis, we will present two methods for identifying binding events in ChIP-Seq data. The motivation of this venture is to propose a complete read generating process under a probabilistic graphical model framework which will determine more accurately binding event locations and enforce alignment of events across conditions. More specifically, we will first propose the so-called Spatial Coupling method which exploits the relative positions of reads by assuming dependent assignment of events to close reads. Second, we will present the socalled Temporal Coupling method, whose goal is to align events across multiple conditions assuming that a transcription factor binds to the same genomic coordinates across conditions. We test the Spatial Coupling using toy and real data comparing it with a Simple Mixture model, where the independence assumption between reads’ positions and their assignments is taken into account. We show that the latter is generally superior in terms of locating the events more accurately and more efficient in terms of running time to the proposed method. In addition, we apply Temporal Coupling to synthetic and real data and show that it achieves alignment across conditions unlike the Simple Mixture one. Furthermore, we show by using synthetic data that even if the binding events are not aligned or not present in all conditions, the algorithm still holds its alignment property and avoids calling false positive peaks in places where do not actually exist. Lastly, we demonstrate that when binding events are aligned, the spatial resolution of Temporal Coupling is better than that of the Simple Mixture model and furthermore better sensitivity and specificity are achieved. Thesis Supervisor: David K. Gifford Title: Professor of Electrical Engineering and Computer Science
What We Have Learned about Memory from Neuroimaging

Functional neuroimaging techniques, such as functional magnetic resonance imaging (fMRI) and electro/magnetoencephalography (EEG/MEG), have had a major impact on the study of human memory over the last two decades. This impact includes not only new evidence about the parts of the brain that are important for memory (“functional localization” or “brain mapping”), which extends what was previously known from patients with brain damage, but also arguably informs our theoretical understanding of how memory works (e.g., Henson, 2005; Poldrack, 2006; though such claims have been questioned, e.g., Coltheart, 2006; Uttal, 2001). In this chapter, we illustrate ways in which functional neuroimaging has influenced our understanding of memory, going beyond research that was previously based primarily on behavioral techniques. We focus in particular on how memory processes might be implemented in the brain in terms of average levels of activity in certain brain areas, patterns of activity within areas, and connectivity between brain areas.
Real-time hand gesture recognition

This paper proposes a new method of hand gesture recognition using Microsoft’s Kinect in real-time. Our system includes detecting and recognizing hand gestures via combining shape, local auto-correlation information and multi-class support vector machine (SVM). Our evaluation shows that the system recognizes one-handed gestures with more than 93% accuracy in real-time. The efficiency of the system execution is good enough and we are encouraged to develop a natural human-machine interaction in the near future.
Algorytm adaptacyjnego balansowania obciążenia zapytań w rozproszonych przestrzenno-temporalnych hurtowniach danych

Streszczenie. Artykul opisuje algorytm adaptacyjnego balansowania obciązenia zapytan w przestrzenno-temporalnych hurtowniach danych. Przedstawione zostaly istniejące algorytmy oraz porownanie ich dzialania z nowym algorytmem. Ponadto, omowione zostaly podstawy teoretyczne algorytmu ALBQ (ang. Adaptive Load Balancing for Queries) oraz wyniki testow dzialania algorytmu, w zalezności od wartości parametrow. Slowa kluczowe: hurtownia danych, balansowanie obciązenia, systemy rozproszone
Survivable Networks: Algorithms for Diverse Routing

From the Publisher: Survivable Networks: Algorithms for Diverse Routingprovides algorithms for diverse routing to enhance the survivabilityof a network. It considers the common mesh-type network and describesin detail the construction of physically disjoint paths algorithms fordiverse routing. The algorithms are developed in a systematic manner,starting with shortest path algorithms appropriate for disjoint pathsconstruction. Key features of the algorithms are optimality andsimplicity. Although the algorithms have been developed forsurvivability of communication networks, they are in a generic form,and thus applicable in other scientific and technical disciplines toproblems that can be modeled as a network. A notable highlight of this book is the consideration of real-lifetelecommunication networks in detail. Such networks are described notonly by nodes and links, but also by the actual physical elements,called span nodes and spans. The sharing of spans (the actual physicallinks) by the network (logical) links complicates the network,requiring new algorithms. This book is the first one to providealgorithms for such networks. Survivable Networks: Algorithms for Diverse Routing is acomprehensive work on physically disjoint paths algorithms. It is aninvaluable resource and reference for practicing network designers andplanners, researchers, professionals, instructors, students, andothers working in computer networking, telecommunications, and relatedfields.
On the border between biology, mathematics and computer science

Computational biology, bioinformatics and systems biology are three closely related interdisciplinary areas of research rapidly evolving at the intersection of biology, mathematics and computer science. The general goal of all of these areas is to support the analysis of biological phenomena by mathematical and algorithmic me-thods. However, the ideas flow not only from mathematics and computer science to biology but also in the opposite direction when the biological objects and processes become a motivation for developing new mathematical theories or algorithms. It may be said that, at least in some sense, bioinformatics and systems biology are parts of computational biology. While computational biology as a whole, concerns the development of mathematical models of biological phenomena and algorithmic methods and tools for the analysis of biological processes and structures, bioinformatics is focused mainly on using these tools for biological discoveries. On the other hand, systems biology is related to the systems analysis of biological complex objects which, in turn, includes the development of mathematical and algorithmic me-thods for such an analysis and using them for biological investigations.
Study of Computer Aided History Matching Technology

On the basic of studying the present technical situation of home and abroad about computer aided History Matching of the reservoir numerical simulation and digesting, absorbing technology, we studied and optimized highly effective algorithm fit for the aided History Matching. At the same time, we designed the software interface and frame and function module, developed the independent aided History Matching software named CAPHE, thus formed aided history methods suitable for our independent reservoir simulator-PBRS. By using of the software in practical some oil simulation blocks, CAPHE can significantly increase History Matching efficiency in the reservoir simulation.
Insights into DNA intercalation using combined optical tweezers and fluorescence microscopy

The functioning of a single cell, and indirectly that of complete organism, is due to a large number of interlocking biological processes. These processes essentially comprise of a large number of highly specific interactions between different individual biomolecules, such as nucleic acids, proteins, lipids and other small organic molecules. One of the most important interactions within the cell is the interaction of protein molecules with deoxyribonucleic acid (DNA). DNA contains the genetic information of an organism and by duplicating itself very accurately before cell division, it is responsible for the transfer of this information from one cell to the next. Another central role of the DNA in the living cell is its involvement in the process of transcription and translation, which are the essential steps towards the synthesis of proteins. Many technologies have been developed that are able to measure biomolecular interactions, but they are limited to measurements on large number of interactions (ensemble measurements). During the past 20 years we have witnessed the development of different single molecule techniques such as magnetic tweezers, atomic force microscopy, fluorescence microscopy and optical tweezers, that allow the measurement of one molecule at a time, or the interactions between a small number of molecules. This ‘single molecule’ approach provides detailed information about the interactions that cannot be retrieved using bulk techniques, because the effects would be averaged and therefore not observable. In this thesis we set out to develop an instrument which is capable of probing the change in the mechanical properties of a single double-stranded DNA molecule as it is interacting with protein molecules, having the capability to detect the number and location of the protein molecules on the DNA simultaneously. This allows us to directly correlate the effect of protein binding on the mechanical properties of the DNA on a single molecule level.
Symphony: a conceptual model based on business components

Fifteen years after the object promising beginning, object oriented methods are not really used in companies. Several reasons can be quoted, in particular the fact that components reuse during the analysis and design stages of application development remains difficult. The work undertaken around the Symphony method addresses this problem. Its aims are to give a user centric vision, to optimize the reuse of components during the analysis and design stages and to facilitate the applications' evolutions. Symphony is a component based method which is drawn out of Umanis experiences. An application is seen as an assembly of independent and inter-connected components at the conceptual level and at the software level. This article stresses the components conceptual model and their relationship.
Two-dimensional clusters in grammatical relations

While it is drugs, cars and software which are serving as examples ofproducts, the list of verbs has a role as well. If I merely said that products were things like drugs, cars, and software, someone would hardly be in a position to say whether toothpaste counts as a product. And a definition of "product" as simply "something which is produced" gets a more general sense of the word, including things uch as toxic waste produced by an industrial process, and carbon dioxide produced by human respiration. The explanation f"product" by multiplied xample involves the implicit claim that drugs, cars, and software are all developed, and all produced, all sold, and all used. Not only is this true, but in a large enough text corpus we can lind examples examples of drugs, cars, and software being described as being developed, produced, sold and used, in all combinations:
Simulation-based estimation

In this paper, I present a number of leading examples in the empirical literature that use simulation-based estimation methods. For each example, I describe the model, why simulation is needed, and how to simulate the relevant object. There is a section on simulation methods and another on simulations-based estimation methods. The paper concludes by considering the significance of each of the examples discussed a commenting on potential future areas of interest.
Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standards

Multimedia hardware still cannot accommodate the demand for large amounts of visual data. Without the generation of high-quality video bitstreams, limited hardware capabilities will continue to stifle the advancement of multimedia technologies. Thorough grounding in coding is needed so that applications such as MPEG-4 and JPEG 2000 may come to fruition. Image and Video Compression for Multimedia Engineering provides a solid, comprehensive understanding of the fundamentals and algorithms that lead to the creation of new methods for generating high quality video bit streams. The authors present a number of relevant advances along with international standards. New to the Second Edition A chapter describing the recently developed video coding standard, MPEG-Part 10 Advances Video Coding also known as H.264 Fundamental concepts and algorithms of JPEG2000 Color systems of digital video Up-to-date video coding standards and profiles Visual data, image, and video coding will continue to enable the creation of advanced hardware, suitable to the demands of new applications. Covering both image and video compression, this book yields a unique, self-contained reference for practitioners tobuild a basis for future study, research, and development.
Answer Re-ranking with bilingual LDA and social QA forum corpus

One of the most important tasks for AI is to find valuable information from the Web. In this research, we develop a question answering system for retrieving answers based on a topic model, bilingual latent Dirichlet allocation (Bi-LDA), and knowledge from social question answering (SQA) forum, such as Yahoo! Answers. Regarding question and answer pairs from a SQA forum as a bilingual corpus, a shared topic over question and answer documents is assigned to each term so that the answer re-ranking system can infer the correlation of terms between questions and answers. A query expansion approach based on the topic model obtains a 9% higher top-150 mean reciprocal rank (MRR@150) and a 16% better geometric mean rank as compared to a simple matching system via Okapi/BM25. In addition, this thesis compares the performance in several experimental settings to clarify the factor of the result.