Miracle-dz/UniFAR-FTUs huggingface dataset:
Clustering Columns of the Wide-Table in Cloud Computing

Various data-centric web applications are becoming the developing trend of information society. Cloud computing currently adopt column-oriented storage wide table to represent the heterogeneous structured data of these applications. The wide table reduces the waste of storage space, but slows down query efficiency. The paper implements the hybrid partition on access frequent (HPAF) to horizontally and vertically partition a wide table. It uses a variant of consistent hashing to dynamically horizontally partition a wide table across multiple storage nodes on each node’s performance; It use entropy to represent the number of reducing access data block from the table with N columns than from N column-oriented storage tables. According to the second law of thermodynamics, the paper designs an entropy increasing clustering algorithm to classify the columns of a wide table. The algorithm finds a cluster with multiple classes which save maximum access time. The paper implements an algorithm for structured query across multiple materialized views too. Lastly the paper demonstrates the query performance and storage efficiency of our strategy compared to single column storage.
From corpus to language classroom: reusing Stockholm Umeå Corpus in a vocabulary exercise generator SCORVEX

In this master thesis the focus has been made on the evaluation of Stockholm Umea Corpus (SUC) as a source of teaching materials for learners of Swedish as a Second language. The evaluation has been carried out both practically and theoretically. On the theoretical side, readability tests have been run on all SUC texts to analyze whether appropriate texts can be automatically selected for each proficiency level. To make readability analysis more “vocabulary aware” lexical frequency profile of each text has been collected, analyzed and embedded into the final readability score assigned to each text. SUC has proven to be a rich source of texts of different proficiency levels appropriate for language training purposes. Advantages and disadvantages of SUC as a source of pedagogical materials have been identified in the course of work. On the practical side, as a side effect of the theoretical analysis, a pedagogical tool SCORVEX (Swedish CORpus-based Vocabulary EXercise generator) has been designed and implemented. The existing modules of SCORVEX demonstrate to which extent it is possible to generate pedagogically acceptable vocabulary items with SUC as the only language resource. I am demonstrating in the thesis how wordbank items, multiple choice items and c-tests can be automatically generated for a specified proficiency level, word frequency band and a specified wordclass. In yes/no items potential words are generated on the basis of existing morphemes. All the four modules are therefore “language-aware”. Accessing frequency data obtained from SUC is the pre-requisite for the exercise generation, whereas SUC text archive is the only source of texts, sentences and words for vocabulary items. This thesis can hopefully wake interest among teachers to test this generator in real-life conditions and maybe even convince some teachers in the usefulness of this pedagogical tool. The numerous ways for further development of this software are outlined in the paper.
Processor Selection for Embedded System Design

Abstract The main objective of the system described in this paper is to provide a mechanism with which designers can select a suitable processor for embedded systems design efficiently. To achieve this, we first extract the characteristics of the application using a Keil Integrated Development Environment. The database of the processors is dynamically normalized using the application parameters. The extracted parameters are also translated to the characteristics of the processor specifications. Two standard algorithms – weighted sum algorithm and Kepner–Tregoe method – are used to rank the processors in terms of their suitability. A comparative study of the two algorithms is also made.
On quantum computation theory

The content of the Chapters 3 through 7 of this Ph.D. thesis corresponds with the following articles written by the author. Chapter 3: Quantum Oracle Interrogation • “Quantum Oracle Interrogation: Getting all information for almost half the price”, Wim van Dam, in Proceedings of the 39th Annual IEEE Symposium on Foundations of Computer Science, pages 362–367 (1998); quant-ph report no. 9805006 Chapter 4: Bounded Quantum Queries • “Two Classical Queries versus One Quantum Query”, Wim van Dam, quant-ph report no. 9806090 • “Bounded Quantum Query Complexity”, Harry Buhrman and Wim van Dam, in Proceedings of the 14th Annual IEEE Conference on Computational Complexity, pages 149–156 (1999); quant-ph report no. 9903035 Chapter 5: Quantum Algorithms and Combinatorics • “Quantum Algorithms for Weighing Matrices and Quadratic Residues”, Wim van Dam, quant-ph report no. 0008059; to appear in Algorithmica Chapter 6: Self-Testing of Quantum Gates • “Self-Testing of Universal and Fault-Tolerant Sets of Quantum Gates”, Wim van Dam, Frederic Magniez, Michele Mosca and Miklos Santha, in Proceedings of the 32nd Annual ACM Symposium on Theory of Computing, pages 688–696 (2000); quant-ph report no. 994108 Chapter 7: Quantum Kolmogorov Complexity • “Quantum Kolmogorov Complexity”, Andre Berthiaume, Wim van Dam and Sophie Laplante, in Proceedings of the 15th Annual IEEE Conference on Computational Complexity, pages 240–249 (2000); Journal of Computer and Systems Sciences, Volume 63, No. 2, pages 201–221 (2001); quant-ph report no. 0005018
Virtual prototyping tools for electronic design automation

Virtual prototyping environments are emerging as a new generation of EDA tools. Such a tool will allow the designer to test interactively complex electronic systems on an enhanced-reality virtual workbench, by concurrently running multidomain (mechanical, electrical, thermal, etc.) what-if experiments. Virtual prototyping will shorten the design cycle, improve the product quality, and reduce the time to market. Advanced computational techniques are needed to reduce the execution time, especially for the field (EM and thermal) models used in these virtual prototyping environments. This article shows how neural networks could be used efficiently for 3D EM field modeling. Neural network models have much better real-time performance than classical numerical EM-field modeling methods, and this is particularly important when the field analysis is coupled with system optimization.
Problems and prospects of Hindi language search and text processing

Hindi has evolved to its’ present form almost a thousand years before. Today it has become a major language of the world and requires representation over Web as an expressive language for literary people and those who love to communicate in Hindi. Unicode has enabled to read and write over the Web but Hindi text processing and retrieval are some major issues which should be given considerable attention. The present paper draws attention of researchers to undertake the challenging areas of Hindi language processing and invites them to undertake research projects.
Experiencia sobre el diseño y evaluación de una herramienta educativa para POO

Este artículo presenta una aplicación educativa para enseñar el concepto de herencia en Java. Al ser una herramienta pensada y diseñada para el aprendizaje, contiene un fundamento pedagógico sustentado por la taxonomía de Bloom. Las guías para usar esta jerarquía se pueden encontrar en [8]. Se muestra con un cierto grado de detalle el proceso de análisis y diseño, así como la evaluación llevada a cabo en un curso universitario de Programación Orientada a Objetos.
Désoccultation de nuage de points LiDAR en topologie capteur

Ce travail presente une nouvelle methode pour la desoccultation d'objets mobiles dans des scenes 3D LIDAR acquises par des dispositifs de scan urbains. Ce probleme est generalement traite directement dans l'espace 3D. Cet article propose une approche alternative qui repose sur une representation 2D en topologie capteur du nuage de points 3D. Cette image est ensuite segmentee par une methode basee histogramme afin d'extraire le masque des objets a supprimer. Enfin, une methode d'inpainting variationnel est utilisee pour supprimer ces objets.
Channel estimation and equalization for high speed mobile OFDM systems

In this paper, we propose new channel estimation and equalization techniques for OFDM (orthogonal frequency division multiplexing) systems in mobile environment. In the mobile OFDM system, the estimation of time varying channel is the most important issue. In the proposed method, we assume that wireless channels are varying in the linear fusion during a certain internal, and estimate the initial channel coefficients and their corresponding slopes. After such estimation, we compensate the estimated channel and ICI (inter-carrier interference) effect due to time selectivity. We verify that this scheme shows better performance than conventional methods using computer simulations.
Interval-Based Techniques for Sensor Data Fusion

We view the problem of sensor-based decision-making in terms of two components: a sensor fusion component that isolates a set of models consistent with observed data, and an evaluation component that uses this information and task-related information to make model-based decisions. This paper describes a procedure for computing the solution set of parametric equations describing a sensor-object imaging relationship. Given a parametric form with s parameters, we show that this procedure can be implemented using a parallel array of 6s2 processors. We then describe an application of these techniques which demonstrates the use of task-related information and set-based decision-making methods. Comments University of Pennsylvania Department of Computer and Information Science Technical Report No. MSCIS-90-80. This technical report is available at ScholarlyCommons: http://repository.upenn. edu/cis_reports/749 Interval-Based Techniques for Sensor Data Fusion MS-CIS-90-80 GRASP LAB 241
The Dutch Eating Behavior Questionnaire (DEBQ) for assessment of restrained, emotional, and external eating behavior

The development of the Dutch Eating Behaviour Questionnaire (DEBQ) with scales for restrained, emotional, and external eating is described. Factor analyses have shown that all items on restrained and external eating each have high loadings on one factor, but items on emotional eating have two dimensions, one dealing with eating in response to diffuse emotions, and the other with eating in response to clearly labelled emotions. The pattern of corrected item-total correlation coefficients and of the factors was very similar for various subsamples, which indicates a high degree of stability of dimensions on the eating behavior scales. The norms and Cronbach's alpha coefficients of the scales and also the Pearson's correlation coefficients to assess interrelationships between scales indicate that the scales have a high internal consistency and factorial validity. However, their external validity has yet to be investigated.
Comparison of Face Verification Results on the XM2VTS Database

The paper presents results of the face verification contest that was organized in conjunction with International Conference on Pattern Recognition 2000 [14]. Participants had to use identical data sets from a large, publicly available multimodal database XM2VTSDB. Training and evaluation was carried out according to an a priori known protocol ([7]). Verification results of all tested algorithms have been collected and made public on the XM2VTSDB website [15], facilitating large scale experiments on classifier combination and fusion. Tested methods included, among others, representatives of the most common approaches to face verification elastic graph matching, Fisher's linear discriminant and Support vector machines.
EDFAs for high-capacity optical FDM networks: Technology and network applications

Optical frequency division multiplexing (optical FDM), which allows the use of an extremely broad lightwave bandwidth, 10,000-200,000 GHz and over, can realize novel transport systems that could replace current digital (time division multiplexing based) transport networks. The future perspectives of communication networks based on optical FDM technology as well as the impact of Er-doped fiber amplifiers on optical FDM networks are described. <<ETX>>
Inside XML DTDs

From the Publisher: The Extensible Markup Language (XML) is today's most exciting new format for transferring data across the World Wide Web and other networks. "Focusing on the nuts and bolts of XML, Inside XML DTDs is the first and only complete guide to creating, using, and updating document type definitions (DTDs), which provide a layer of additional power on top of the document structures built into XML and enable documents to share large chunks of information. "Included is a value-packed CD-ROM containing DTDs discussed in the book, sample documents, and browsers.
Out-of-core Interactive Display of Large Meshes Using an Oriented Bounding Box-based Hardware Depth Query

In this paper we present an occlusion culling method that uses hardware-based depth queries on oriented bounding boxes to cull unseen geometric primitives efficiently. An out-of-core design enables this method to interactively display data sets that are too large to fit into main memory. During a preprocessing phase, a spatial subdivision (such as an octree or BSP tree) of a given data set is constructed where, for each node, an oriented bounding box containing mesh primitives is computed using principal component analysis (PCA). At runtime, the tree indicated by the spatial subdivision is traversed in front-to-back order, and only nodes that are determined to be visible, based on a hardware accelerated depth query, are rendered.
Semantic structure of personal information

A sequential arrangement of processing stages is incorporated into most theoretical models of person recognition (e.g., Bruce and Young, 1986). Simple familiar/unfamiliar decisions are earliest, followed by access to semantic information, followed by naming. To date, the stage involved in semantic decisions has received least attention. Thus, relatively little is known about how we store personal semantic information. More research into this stage is necessary if we are to better understand the organisation of semantic memory for familiar people. The primary aim of this dissertation is to provide new evidence relating to the storage and retrieval of such information. The first line of enquiry attempts to discriminate between two influential models in this area (Burton et.al., 1990 and Bredart et. al., 1995), by using a new method involving semantic judgement tasks in the traditional semantic priming paradigm. In one model (Burton et. al., 1990), semantic information is stored in a single undifferentiated pool. In the other model (Bredart et. al., 1995) semantic information is clustered into separate pools. The two types of account make different predictions about certain patterns of priming during information retrieval. The experiments reported here fail to discriminate between the models. Later experiments identify the locus of the reported semantic priming effects and provide an explanation of these findings within a structural model of person recognition.
COCO Topology Control Scheme in MANET’S With Cooperative Communications

Agreeable correspondence has gotten enormous diversions in remote systems. Most existing works on agreeable interchanges are centered around connection level physical layer issues. Therefore, the effects of agreeable interchanges on system level upper layer issues, for example, topology control, steering and system limit, are generally overlooked. In this paper, we propose a Capacity-Optimized Cooperative (COCO) topology with helpful interchanges. Control plan to enhance the system limit in Manets by mutually considering both upper layer system limit and physical layer helpful interchanges. Utilizing reenactment illustrations, we demonstrate that physical layer helpful interchanges have huge effects on the execution of topology control and system limit, and the proposed topology control plan can significantly enhance the system limit in Manets.
Energy Aware Data Aggregation with Sink Relocation to Improve the Network Lifetime

In Wireless Sensor Network (WSN), the sensor devices are prepared with limited battery source and conserving the sensor node’s power in order to increase the lifetime of a network plays a vital role. This paper proposes Energy aware Data Aggregation with Sink Relocation (EDASR) technique to improve the network lifetime. The nodes that are closer to sink will consume additional energy than others to compute and communicate data to sink. Based on the residual energy sink will relocate to another position. During Energy Aware Data Aggregation (EADA) both the Hop Count (hpc) and shortest distance to reach the sink is considered for clustering. The simulation is performed using ns-2.34 in Ubuntu for different initial battery energy and transmission range. Simulation results prove that EDASR method improves network lifetime by increasing number of rounds of message relaying until the first relocation occurs than the existing sink relocation algorithm.
A Review on Image enhancement of fingerprint using Directional filters

Fingerprint enhancement is a critical part in an automatic fingerprint recognition system. It is necessary to choose the suitable enhancement technique for fingerprint, in order to reduce the post-processing part of the fingerprint recognition system. This paper is a survey on directional filter, which describes the splitting of the input image into eight parts and reconstruction in to a single image after image enhancement .
Face recognition in a transformed domain

This paper proposes the use of a discrete cosine transform (DCT) instead of the eigenfaces method (Karhunen-Loeve Transform) for biometric identification based on frontal face images. Experimental results show better recognition accuracies and reduced computational burden. This paper includes results with different classifiers and a combination of them.
Depreciación del tipo de cambio, tasas de interés y sustitución de activos financieros

Este articulo analiza las posibilidades de mantener un tipo de cambio estable en una pequena economia abierta, donde existe un sistema financiero dual. Los movimientos observados del tipo de cambio se relacionan con la sustitucion de activos financieros denominados en moneda local por activos en moneda extranjera. Coeficientes de elasticidad de sustitucion de activos financieros son estimados utilizando funciones de elasticidad de sustitucion constante. Los cambios en signos de estos coeficientes corresponden a cambios en la percepcion de riesgos sobre la moneda local. Los resultados empiricos muestran coeficientes de elasticidad de sustitucion con signos negativos, con tasas mas altas pagadas sobre los depositos en pesos, y depreciacion del tipo de cambio
Construction and Kinematic Properties of 3-UPU Parallel Mechanisms

The assembly condition of universal pairs in the 3-UPU parallel mechanism determines the mechanism mobility. This paper uses reciprocal screw theory to study mobility analysis of the 3-UPU parallel mechanism under several different assembly conditions. The analysis and the method presented in this paper will be helpful in using the 3-UPU parallel mechanism and introduce new insights into the mobility analysis of parallel mechanisms. © 2002 ASME
Swarm Patterns: Trends & Transformation Tools

The domain of multi-robot systems incorporates research which is inspired by nature. The aim of this research is to design man-made systems which incorporate principles observed in multi-agent natural systems. The mapping of these principles to man-made systems is referred to as biomimetics (Habib et al., 2007) and the area within multi-robot systems that explores this mapping is generally referred to as swarm robotic systems (Sahin & Spears, 2005). Research within swarm robotics includes self-organisation and an interesting aspect of self organisation is pattern formation (Camazine et al., 2003). The term pattern formation in literature is used in at least two different ways. Firstly, to define an area of study within multi robot systems that covers distinct aspects of patterns such as the establishment, maintenance and reconfiguration of patterns. Secondly, to report the natural phenomenon of flocking whereby loose or deformed geometric patterns emerge, and not necessarily strict geometric patterns (Arkin, 1998). In this chapter, the first usage of the term is adopted. The research in this chapter is motivated by two observations based on an extensive review of literature based on pattern formation and swarm robotics. Firstly, it was noted that there are no mathematical models that exist for pattern formation in swarm robotic systems. Secondly, it was also noted that though pattern formation was a classic area of research, yet the challenges that have emerged in due course have not been addressed through a unifying model. Hence, it was necessary to address the need for a unifying mathematical model that can surmount the identified challenges in pattern formation. The remainder of this chapter is organised as follows. The next section presents eight challenges identified in pattern formation. The second section sets the basic framework for mathematical modelling required to address the challenges. The fourth section presents a definition for transformation, four cases of transformation and tools for transformation. Simulation studies and a discussion are presented in the penultimate section. The last section concludes this chapter.
Applied research on intelligent tutoring system based on Dynamic Bayesian Network

In order to research the higher intelligent in education system, mainly reflected in the student evaluation and diagnostic capabilities, we propose a dynamic Bayesian network based intelligent tutoring system (DBNITS). Application of the EM algorithm and the PC algorithm to establish a Bayesian network structure, and test the system with students, by comparing the experimental results and analysis of variance showed that: DBNITS can make more accurate evaluation and diagnosis according to students’ characteristics, and play a significant role in improving students’ efficiency in learning and enhancing their comprehensive access to knowledge.
Rambling along paths, trees, flows, curves, knots, and rails

As Professor of Mathematics at the Free University, Cor Baayen was an inspiring teacher. His lectures were lucid and skilful, and his broad knowledge enabled him to exhibit the students unexpected vistas and panoramas through several areas in mathematics and theoretical computer science, with topology, set theory, discrete mathematics, logic, and computability as landmarks. As a student you learned that everything is related to everything. Another characteristic of Cor Baayen's lectures was that he always was eager to present courses on 'modern' topics in mathematics modern in the sense of not belonging to the standard student curriculum in mathematics (many still don't belong to it). Thus we learned about boolean algebras, graphs, modal logic, proof theory, recursion theory, computability, etc. At the same time there was a strong interest in the historical side of the results discussed. The courses of Cor Baayen (and his oral examinations, which generally outgrowed to private lessons of at least three hours) being stimulating, he added a personal touch by inviting students from their first year at his home, for further metamathematical background. He has stimulated the enthusiasm of several students for mathematics and for doing research. I think it appropriate not to restrict myself in this paper to one area, but rather to try to link some of the areas of Cor Baayen's interest, by a ramble through topology, discrete mathematics, and algorithrnics, with due attention to the historical roots and to some connections with a few of the other interests of Cor Baayeu.