Miracle-dz/UniFAR-FTUs huggingface dataset:
Parallel benefits in test day evaluations

One of the goals in the HPBREEDING project was to reduce computing time using parallel computing. Parallelization focused on the following aspects: 1) each of the processors should have about an equal amount of work, 2) communication between the processors should be kept small, 3) memory requirements per processor should be as small as possible. The parallel implementation was tested with a small and a large random regression test-day model having about 7.28 and 21.7 million unknowns in the mixed model equations, respectively. The iterative solver method was iterated 50 rounds on Cycle Ultra AXmp and SGI Origin 2000 computers. Testing with the smaller (larger) model on the Cycle computer yielded speedups 1.97 and 3.86 (1.98 and 3.60) with 2 and 4 processors, respectively. Speedups for the iterating the smaller system on the SGI Origin 2000 were 1.65 and 3.06 with 2 and 4 processors, respectively. Increasing number of processors increased speedup almost linearly up to 8 processors, after which speedup increased slower than linearly due to increased communication.
Topology optimization: a tool for the tailoring of structures and materials

Is there a systematic way to minimize the weight of car and aeroplane parts? Is there a way to design materials that expand transversely when pulled? To design materials that shrink when heated? To design robots that are so small that they can be mounted on the head of a pin? The answer to all four questions is affirmative; the method that solves the problems is called ‘topology optimization’. This method is based on complex computer calculations. This paper describes the background of the method and shows a number of applications, ranging from the design of materials with ‘exotic’ properties over microscopic robots to the design of large–scale satellite structures.
Tralics, a LaTeX to XML translator; Part I

In this paper we describe Tralics, a LaTeX to XML translator. A previous version of the software (written in Perl) was used to obtain the Pdf version of Inria's ``Rapport d'Activite'' for year 2001. The current version of the software (written in C++) is used for both the HTML and Pdf version for the year 2002: the XML\generated by Tralics is conforming to a local DTD, similar to the TEI; it was converted to Pdf via pdfTeX and the xmltex package, and the HTML via a xslt processor. We explain here the philosophy of the software, its usage, its limitations, and how to customize it. All commands defined by Tralics are explained in this document, for most of them, we give an example of use. The index lists all commmands, environments, and options. This document describes Tralics 2.12.
Beyond the Kalman Filter: Particle Filters for Tracking Applications

Part I Theoretical concepts: introduction suboptimal nonlinear filters a tutorial on particle filters Cramer-Rao bounds for nonlinear filtering. Part II Tracking applications: tracking a ballistic object bearings-only tracking range-only tracking bistatic radar tracking tracking targets through blind Doppler terrain aided tracking detection and tracking of stealthy targets group and extended object tracking.
A new method of medical image fusion based on nonsubsampled contourlet transform

To improve the normal medical image fusion algorithm in order to avoid the loss of the detailed information in the processes of medical image fusion, a multiscale medical image fusion method based on nonsubsampled contourlet transform(NSCT) is proposed in this paper. First, the source images(MRI and CT images) are decomposed by using nonsubsampled contourlet transform. Then, the details of contourlet coefficients are fused on each corresponding levels with a vision feature fusion operator. Finally, the fused image will be obtained by taking the inverse nonsubsampled contourlet transformation. The experimental results show that the effect of the nonsubsampled contourlet-based method is obviously improved, and the proposed method can effectively preserve the detailed information of the source images.
Progressive Coding For Image Compression

New algorithms for image compression based on wavelets have been recently developed. One of the most efficient algorithms is the Set Partitioning in Hierarchical Trees (SPIHT) algorithm. The SPIHT algorithm orders the wavelet coefficients according to a significance test and stores this information in three separate lists. This paper describes an implementation of discrete wavelet transform based image compression using SPIHT coding in the MATLAB environment. Although, SPIHT is well known for its simplicity and efficiency, it requires a large amount of memory for storing the coordinates of wavelet coefficients. A great number of operations to manipulate the memory are also required in the codec scheme, which greatly reduces the speed of coding procedure. This becomes a big drawback for realizing the algorithm on hardware platform. In this paper, a Modified SPIHT (MSPIHT) method suitable for image compression, an improved version of original SPIHT is also discussed. Keywords-image compression, MSPIHT, SPIHT
Analysis of Mass Spectrometry data: Significance Analysis of Microarrays for SELDI-MS Data in Proteomics

Mass Spectrometry (MS) has arguably become thecore technology in proteomics. MALDI and SELDI-TOFtechniques enable the study biological fluids, e.g. human blood.Analysis of these samples can lead to discover new biomarkerswhich can ease the diagnostic and prognostic of several diseases,e.g. various cancers. In this work, we focus on MS data fromSELDI-TOF experiments. We begin with a preprocessing step inorder to remove noises due to the acquisition process of the data.Then, we apply the differential analysis to a SELDI-MS data,using the Significance Analysis of Microarray (SAM) methodimplemented in Matlab. Results using the SAM method arecompared with those obtained by the conventional t -test andAnalysis Of Variance (ANOVA) in order to evaluate its efficacyand its performance. As a result, we demonstrate that the SAMmethod can be adapted for effective significance analysis ofSELDI-MS data. It is deemed powerful and provides betterresults that totes. An easy-to-use application is developed withMatlab for mass spectrometry data analysis from raw spectra todifferential analysis, including the SAM method.
Design and validation of an upper extremity kinematic model for application in stroke rehabilitation

Design and validation of a new upper extremity (UE) motion assessment system was completed to evaluate recovery progress during stroke rehabilitation. This UE model was constructed to accurately track the three-dimensional (3-D) orientation of the trunk, shoulder, elbow, and wrist during task performance. Linear static, linear dynamic and angular dynamic validation was completed to determine the resolution and accuracy of the system. Marker spacing was evaluated for both resolution and accuracy for 50, 150, and 300 mm. The system was then applied to a pilot study with stroke subjects. Linear static resolution was greatest along the y-axis (0.17/spl plusmn/0.26 mm) and poorest along the z-axis (0.90/spl plusmn/0.86 mm) at the 0.05 level of significance. The overall linear static accuracy of the system was in excess of 99%. Mean linear dynamic resolution and accuracy are 0.98/spl plusmn/ 0.30 mm and 99.9%, respectively. Angular dynamic validation demonstrated a mean resolution of 0.84/spl plusmn/0.80 degrees and mean accuracy of 99.6% in the three clinical planes. The quantitative validation results as well as pilot subject tests indicate the system is suitable for further clinical assessment.
Object-oriented development: the fusion method

1. Introduction. 2. Analysis Models and Notations. 3. Process of Analysis. 4. Design. 5. Implementation. 6. Case Study. 7. Exercises. 8. Fusion and Other Methods. 9. Reuse. 10. Managing a Fusion Project. Appendix A: Fusion Process Summary. Appendix B: Fusion Notation Summary. Appendix C: Fusion Reference.
Speech and sign perception in deaf children with cochlear implants: dissertation abstract (University of Amsterdam, 2011)

Although a cochlear implant (CI) restores access to sound and speech for profoundly deaf children, there is substantial inter-individual variation in outcomes and many children with a CI continue to be delayed in their spoken language development. This suggests that they may benefit from alternative modes of communication such as sign language. However, the role of signed input in the education of children with a CI is much debated. The aim of the present thesis was two-folded: to explore underlying processes in speech perception that may help to explain inter-individual variation in outcomes, and to obtain insight into the effects of signed input on spoken language abilities. To that end, this thesis investigates speech and sign perception in 5- to 6-year old children with a CI. More specifically, it examines and interrelates the use of acoustic and visual cues in phonetic categorization and the representation of phonetic contrasts in novel words and signs. Additionally, it investigates the effects of bimodal (i.e., simultaneously spoken and signed) input on speech perception. The analyses show that children with a CI have fuzzy boundaries between sound categories and have difficulties to represent phonetic detail in novel words. Weakly-specified auditory phonological-lexical representations likely negatively impact speech processing. Importantly, signing experience did not negatively affect their speech perception and bimodal input seemed to even facilitate spoken word recognition. Together, these findings form an argument for bilingualism in a spoken and a signed language as the ultimate goal in the rehabilitation and education of children with a CI.
Text Categorization and Prototypes

" There is nothing more basic to thought and language than our sense of similarity; our sorting of things into kinds. " Kant 2 Acknowledgements: First and foremost to Maarten de Rijke and his brilliant guidance, effort to keep me going and consistent support far beyond the reaches of what is to be expected. To Christof Monz for his encouraging words, and for sharing his knowledge. To Ingrid van Loon and Dick de Jongh for accepting me! To all my new-won friends for their warmth. To Benjamin and Hanno (subset of friends) for voluntarily including me in their discussion groups. To Viil for moving down to Amsterdam ++. To all my lecturers for showing me a glimpse of the beautiful world(s) of logic. Last but not least, to the whole community of ILLC for their incredible attitude.
Seamless connectivity and mobility in wireless mesh networks

Wireless mesh networks extend the connectivity range of mobile devices by using multiple access points, some of them connected to the Internet, to create a mesh topology and forward packets over multiple wireless hops. Mobile clients should be able to freely roam within the area covered by the mesh and maintain their connectivity at all times. This thesis presents the architecture and protocols of the first transparent wireless mesh system that offers seamless, fast handoff, supporting VoIP and other real-time application traffic for any unmodified 802.11 device. The entire mesh network is seen by the mobile clients as a single, omnipresent access point. Access points continuously monitor the connectivity quality of any client in their range and efficiently share information with other access points in the vicinity of that client to coordinate and decide which of them should serve the client. We first show an intra-domain handoff protocol that transfers connectivity between the access points serving the mobile device. We then show an inter-domain handoff protocol that transfer connectivity between access points connected to the Internet. Both handoffs, which can occur simultaneously, maintain all previously opened connections while transferring them as fast as possible without any involvement from the mobile device. Experimental results on a fully deployed mesh network demonstrate the effectiveness of the architecture and its handoff protocols.
Efficient Newton-Raphson algorithm for load-flow calculation in transmission and distribution networks

An efficient algorithm is presented for load-flow solutions in electrical power systems. The algorithm is based on the Newton-Raphson process and uses a partitioned-matrix approach to the Jacobian equation which was previously suggested for array-processor applications. It is shown that this approach is also beneficial when using conventional computer systems. The numerical method and computation techniques employed are described, and their relationship to modern computer architectures is considered. The algorithm is highly efficient for the solution of transmission networks but also has particular advantages for lower-voltage networks, and for difficult or ill conditioned load-flow problems. Computational results, obtained using minicomputer hardware, are given for a variety of networks of up to 734 nodes. The numerical method which has been developed is also applicable to other power-system problems including state estimation and dynamic simulation.
Design and performance evaluation of mobile web services in libraries: A case study of the Oriental Institute of Technology Library

Purpose – This research aims to use the Oriental Institute of Technology Library (the OIT Library) in Taiwan as a case to introduce some of the mobile web services which can be provided by a library, as well as to investigate and discuss the first two mobile web services offered by the OIT Library, the due‐day reminder and renewal‐request services, at length. Furthermore, the performance evaluation of the two services is conducted.Design/methodology/approach – This research employs system logs and patron questionnaires to understand the effectiveness of, and patron satisfaction toward, the two services.Findings – Results of system log analysis show that the usage of the two services improves the average number of overdue occurrences, average amount of overdue fines, average amount of overdue fines per transaction, and average overdue rate; furthermore, the use of the services also indirectly increases the number of items borrowed by patrons, which corresponds with the questionnaire analysis as well. Resul.
A MODEL TO EXTRACT SENTIMENTAL KNOWLEDGE IN A SEMANTIC WEB CONTEXT

Nowadays, in a social and semantic context, the web contains millions of data, generic information and opinions. The semantic techonology, using specific ontologies, is very important to represent the web knowledge and to understand the meaning of online textual information. To extract useful knowledge and sentiment (positivity or negativity) of opinions it is necessary to have a model that interpreters this information from both semantic and sentiment point of view. In this paper, after the analysis of the web semantic architecture, we describe a framework of sentiment analysis to interpret and extract the sentiment of opinions expressed by people about a product/service, public administrator or law.
Detection of internal faults in transformers using nonlinear observers

The developments in transformer construction made the basic principle of the classical differential protection not practicable, when some kind of faults are present in the transformer. Internal faults could not be detected by using differential protection. In this work an approach based on analytical redundancy is applied to the problem of detection of internal faults in the transformer. Using a nonlinear model of the transformer it is shown how faults could be effectively detected.
Attractors accompanied with a training pattern of multivalued hopfield neural networks

Recently, multivalued Hopfield neural networks, such as complex‐valued Hopfield neural networks, and their applications have been studied by many researchers. In their application, low noise robustness is an important problem. Too many attractors accompanied with training patterns damage the noise robustness. Rotated patterns are well‐known attractors of complex‐valued Hopfield neural networks. In the present work, we reveal that any other patterns are never attractors in complex‐valued Hopfield neural networks with a training pattern. We also prove a similar result for rotor Hopfield neural network. In addition, we investigate the relation between noise robustness and the number of attractors. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Memory-Based Text Chunking

The abundance of data often hinders computational efficiency in information retrie val, information extraction and parsing. Several data reduction techniques have been proposed t o v rcome this problem. A recently blooming approach to data reduction in computational linguist ics chunking. In (Daelemans, Buchholz, and Veenstra, 1999), we describe experiments on NP and V P (noun and verb phrase) chunking using Memory-Based Learning ( MBL ) carried out in the context of subject/object identification. In this paper we will show that NP, VP and PP ( prepositional phrase) chunking is possible with a precision and recall around 94-95%.
Real Sound Synthesis for Interactive Applications

Virtual environments such as games and animated and "real" movies require realistic sound effects that can be integrated by computer synthesis. The book emphasizes physical modeling of sound and focuses on real-world interactive sound effects. It is intended for game developers, graphics programmers, developers of virtual reality systems and training simulators, and others who want to learn about computational sound. It is written at an introductory level with mathematical foundations provided in appendices. Links to code examples and sound files can be found on the Downloads/Updates tab.
Effect of Mutual Coupling on a Mobile-Radio Maximum Ratio Diversity Combiner With a Large Number of Branches

The effect of mutual coupling on a space diversity combined signal from an optimum resistive load network lessens when the antenna spacing d and the number of elements M increase. When d is greater than 0. 2λ, the cumulative distribution curves of an M -branch signal with mutual effects included show only a small difference compared to an array with no coupling, and are close to the cumulative distribution curve of an array with M independent branches. For the average SNR of an array with 100 branches obtained from an optimum resistive load network to be within -3 dB of the SNR from independent branches the required antenna spacing is at least 0. 25λ, for an in-line array and 0. 5λ, for a planar array. Since a planar array is much smaller than an in-line array for equal performance, the planar array is a more desirable configuration.
XML-Based RDF Data Management for XPath Query Language

The Semantic Web is an extention of the current Web that will allow to find, share and combine information more easily. The meaning in the Semantic Web is mostly represented by Resource Description Framework (RDF). To harvest such power requires robust and scalable data repositories that can store RDF data. Most of the existing RDF storage techniques rely on relation model and relational database technologies for these tasks. The mis-match between the graph model of the RDF data and the rigid 2D tables of relational model jeopardizes the scalability of such repositories and frequently renders a repository inefficient for some types of data and queries. This paper proposed a system that can store RDF data in the XML repository and discuss the basic idea of conversion from RDF Schema to XML Schema and XPath queries for extract information from XML database. DOI: http://dx.doi. org/10.11591/ij-ict.v2i1. 1503
Web tabanlı eğitsel çoklu ortamların göz izleme tekniği ile kullanışlılık açısından değerlendirilmesi

Egitim-ogretim sureclerinin internet ve web teknolojileri ile desteklendigi durumlarda kullanislilik, ogrenci basarisini etkileyebilen faktorlerden biridir. Bu calismada, egitim ve ogretimi hedefleyen web tabanli egitsel coklu ortam paketlerinin etkin tasarimi ve kullanimi icin kullanislilik faktorleri degerlendirilmistir. Arastirma suresince, deneyler ve analizler Marmara Universitesi, Ataturk Egitim Fakultesi, Bilgisayar ve Ogretim Teknolojileri Egitimi Bolumu’nde hizmet vermekte olan Insan–Bilgisayar Etkilesim Laboratuvari’nda gerceklestirilmistir. Verilerin kayit edilmesi esnasinda, goz ve fare hareketlerini gosteren ekran kayitlari alinmistir. Verilerin analizinde, kilavuzlanmis ilgi alanlarinda gozun odaklanma sayisi, bakis sirasi ve gozun durma suresi, butunde odaklanma sayisi, isi haritalari ve gozun tarama yolu degerlerine bakilmistir. Bu calismadan elde edilen sonuclarin, web tabanli egitimin yani sira gunumuzde gittikce yayginlasan sanal sinif uygulamalari, ogrenme nesneleri, egitsel yazilimlar, alistirma yazilimlari, egitsel oyunlar gibi bilgisayar destekli materyallerin tasarimi ve degerlendirilmesi icin de yon gosterici oldugu dusunulmektedir
SAC Availability for the IRIS Community

SAC (also known as SAC2000) is a signal processing and analysis code that has been developed by Lawrence Livermore National Laboratory (LLNL) over the past 20+ years for a variety of seismic and geophysical research projects. SAC has evolved into a general purpose interactive program designed for the study of sequential signals, especially time-series data. Emphasis has been placed on analysis tools used by research seismologists in the detailed study of seismic events. Analysis capabilities include general arithmetic operations, Fourier transforms, three spectral estimation techniques, IIR and FIR filtering, signal stacking, decimation, interpolation, correlation, and seismic phase picking. SAC also contains an extensive graphics capability. SAC is used extensively by the seismic community because: (1) it has a broad range of well-tested, efficient data analysis capabilities (examples include: data inspection, phase picking, signal correction, quality control, unary and binary data operations, travel-time analysis, spectral analysis including high-resolution spectral estimation, spectrograms and binary sonograms, and array and three-component analysis), (2) it is easy to use and reliable, (3) it has a macro programming language that allows users to develop innovative new analysis techniques, (4) it has interfaces to the Unix operating system, Matlab (www.mathworks.com), and the Generic Mapping Tools (GMT) software (Wessel and Smith, 1991, 1998 and gmt.soest.hawaii.edu) that make it very flexible, allowing researchers to solve many research problems innovatively with minimal programming effort, and (5) the suite of analysis capabilities are integrated so that innovative processing schemes are easily implemented. SAC is also widely used because of its user oriented development philosophy, which has led to consistent, easy to use capabilities that are backward compatible. A sample of some of SAC's capabilities is displayed in Figure 1.
Actionable Gamification: Beyond Points, Badges, and Leaderboards

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