Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Information Systems for Enabling Corporate Awareness

The digital economy is hard to imagine without ubiquitous network access. Discussions tend to highlight commercial prospects, such as electronic business, but proliferation of network access has also enabled potentially threatening activities. Threats, such as break-ins and malicious code, are receiving considerable attention. Potential impacts of virtually unrestricted information distribution, however, are just beginning to receive scientific attention. From a corporate perspective, potentially threatening information is not limited to hoaxes, rumours and purposely false information but may also include “true” information potentially having negative impacts on the business situation. Companies need to be aware of such potentially threatening activities. Elsewhere we have discussed what distinguishes these information-level threats from network-level threats, such as break-ins and malicious code, and we have outlined why information-level threats may be hard to detect. We have proposed “corporate awareness” as an approach allowing corporations to prepare for the increasing importance of threatening online activities. In this paper, we focus on practical aspects of corporate awareness and discuss how information systems can be used to enable corporate awareness. In particular, we sketch requirements for online activities information systems and discuss to what extent these requirements are met by collaborative software systems, such as LiveNet.
A Framework for Real-Time Systems Migration to Multi-Cores

Power consumption and thermal problems limit a further increase of speed in single-core processors. Processor architects are therefore moving toward multicore processors. However, a shift to multi-core processors is a big challenge for developers of embedded real-time systems, especially considering existing âlegacyâ systems which have been developed with single-core processor assumptions. These systems have been developed and maintained by many developers over many years, and cannot easily be replaced due to the huge development investments they represent. In this paper we investigate challenges of migrating complex legacy real-time systems to multi-core architectures. We propose a partitioning algorithm to prepare the migration. Partitioning groups task and maps them to the different cores on the multicore processor, increasing system performance while ensuring correctness. We have run experiments that compare outputs of the algorithm to the outputs of an exhaustive search. Based on a cost function, the algorithm produces systems very close to optimal partitioning with respect to the cost function.
Lois de similitude dans les essais de cavitation des turbines Francis

These Ecole polytechnique federale de Lausanne EPFL, n° 914 (1991)Laboratoire de machines hydrauliques Reference doi:10.5075/epfl-thesis-914Print copy in library catalog Record created on 2005-03-16, modified on 2017-05-10
Information Retrieval and Processing

What do you do to start reading information retrieval and processing? Searching the book that you love to read first or find an interesting book that will make you want to read? Everybody has difference with their reason of reading a book. Actuary, reading habit must be from earlier. Many people may be love to read, but not a book. It's not fault. Someone will be bored to open the thick book with small words to read. In more, this is the real condition. So do happen probably with this information retrieval and processing.
High Performance Implementation of Support Vector Machines Using OpenCL

Support Vector Machines are a machine learning approach that is well studied, thoroughly vetted and effective in a large number of applications. The objective of this thesis is to accelerate an implementation of Support Vector Machines (SVM) using a heterogeneous computing system programmed using OpenCL in C/C++. LIBSVM, a widely-available, popular and open source implementation of SVM is chosen, allowing the presented work to be integrated seamlessly into existing systems. The proposed framework is evaluated in terms of speed and accuracy when performing training and classification on a number of standard data sets. Testing was based on two work station GPUs, the NVIDIA GTX 480 and Tesla K20, and a modern, work station CPU (Intel i5 Quad Core, 3 GHz). We find that, for large data sets, training is accelerated by a factor ranging from 9 to 22. In general, speedup increases with the total number of training samples in the data set until the GPU device is fully utilized. While these gains in speedup are significant, they do not match the ideal parallel speedup, that is the total number of cores in the parallel system. Our findings indicate that performance is hampered by the portions of the SVM training algorithm that are sequential. In addition, we find that the classification phase of the SVM system is accelerated by a factor of up to 12. During classification only a relatively small number of samples are classified compared to the typical number of training samples, and the computational complexity of classification grows only linearly with the number of samples processed, as opposed to the training phase where it grows quadratically. The contri- butions of this thesis include the use of OpenCL for accelerating SVM training and testing on heterogeneous systems, and the performance analysis of the acceleration of SVM.
Location, Localization, and Localizability: Location-awareness Technology for Wireless Networks

This book reflects up-to-date research, fundamental theories, and key techniques of of wireless localization technology and error-controlling techniques. It also presents and discusses the issue of localizability, as well as privacy issues associated with LBS. This book encompasses the significant and quickly growing area of wireless localization technology. It presents comprehensive and up-to-date research in both fundamental theories and key techniques of network localization. In addition to localization approaches, it also is the first book to address the issue of localizability. The privacy issue of LBS technology is also discussed.
Models for Concurrency

PART I 1. System Executions 2. Semantics of Concurrent Protocols PART II 1. On the Producer/Consumer Problem 2. Circular Buffers PART III 1.Specification of Channels 2. A Sliding Window Protocol 3. Elements of Model Theory 4. Broadcasting and Causal Ordering 5. Uniform Deliveries
SEGMENTATION AUTOMATIQUE DE CATÉGORIES MUSICALES: ÉTUDE EXPLORATOIRE SUR LE FREE JAZZ

Le travail présenté ici est le résultat d’un projet collaboratif pluridisciplinaire entre l’informatique et la musicologie. L’objectif est de développer une méthodologie permettant d’assister l’analyse musicale en faisant émerger des catégories. La recherche de catégories musicales dans un signal relève d’un exercice de segmentation et de regroupement en catégories. Pour cela, l’outil se base principalement sur la technique du clustering spectral, mais apporte également de nouvelles fonctionnalités telles que la transformée différentielle, l’utilisation de différents ensembles de descripteurs acoustiques, ou la détermination automatique du nombre de catégories présentes dans la structure. L’article précise les choix d’implémentation réalisés lors du développement de l’outil de segmentation et propose une analyse des résultats obtenus sur une œuvre du répertoire Free Jazz. Ces travaux ont permis de valider les nouvelles fonctionnalités apportées par les auteurs dans un contexte d’analyse musicale.
Graph Theory and Complex Networks: An Introduction

Chapter Description 01: Introduction History, background 02: Foundations Basic terminology and properties of graphs 03: Extensions Directed & weighted graphs, colorings 04: Network traversal Walking through graphs (cf. traveling) 05: Trees Graphs without cycles; routing algorithms 06: Network analysis Basic metrics for analyzing large graphs 07: Random networks Introduction modeling real-world networks 08: Computer networks The Internet & WWW seen as a huge graph 09: Social networks Communities seen as graphs
Kualitas Pelayanan Dan Pemuasan Pelanggan Terhadap Loyalitas Pelanggan

Pelayanan dan kepuasan pelanggan merupakan hal yang penting agar perusahaan dapat terus bertahan dalam persaingan, Perusahaan harus dapat membina hubungan baik dengan para konsumen juga kepada para pelanggannya, dan terus berupaya meningkatkan kualitas pelayanan untuk menjaga agar konsumen tetap setia / loyal kepada perusahaan. Untuk mendapatkan keunggulan kompetitif maka setiap perusahaan dituntut untuk mampu memuaskan konsumennya. Sehingga strategi yang didasarkan pada komitmen manajemen untuk meningkatkan pelayanan dan kepuasan pelanggan untuk memuaskan pelanggan secara terus-menerus dilakukan oleh perusahaan-perusahaan, agar loyalitas pelanggan tercipta.Penelitian ini dilakukan untuk mengetahui dan mendapatkan gambaran serta memperoleh gambaran jelas antara pengaruh kualitas pelayanan dan kepuasan pelanggan terhadap loyalitas pelanggan pada perusahaan yang bersangkutan. terhadap Yogya Dept. Store. Metode yang digunakan adalah melalui wawancara, riset kepustakaan, dan penelitian lapangan dengan alat kuesioner. Penelitian dilakukan di Yogya Dept. Store tepatnya pada outlet yang berlokasi di Jalan K.H Sholeh Iskandar Bogor. Yogya Dept. Store adalah perusahaan yang bergerak dibidang ritel untuk memenuhi kebutuhan pelanggan.Hasil evaluasi dalam penelitian ini menunjukan bahwa Langkah � langkah yang dilakukan oleh Yogya Dept. Store dalam mempertahankan Loyalitas pelanggan adalah Memberikan pelayanan dan kepuasan pelanggan, serta suasana outletnya yang lebih baik lagi kepada para konsumen dan pelanggannya. Serta hal yang perlu diperhatikan oleh Yogya Dept. Store adalah memberikan layanan yang lebih baik lagi juga menjaga kualitas pelayanannya. Dan menjaga para konsumen dan pelanggan untuk lebih loyal kepada Yogya Dept. Store.
Methods For Guaranteeing Contracted Availability In Connection Oriented Networks

Service Level Agreements (SLAs) are used to define obligations between network/service providers and customers in business relationships. The terms that define the guaranteed availability for a given period are fundamental to these contracts. The appropriate selection of the availability to be promised is still an open challenge for network operators due to: (i) SLAs are defined for finite periods, and hence the stochastic properties of the availability have to be considered. (ii) Real operational networks have not the Markovian properties. (iii) The way that correlation affects the interval availability in operational networks is unknown. In this work, we show the impact of dependent failures on SLAs, based on operational failure data obtained from the UNINETT network. Using these data, we simulate the behavior of network connections that use shared backup protection. We evaluate the SLA success probability using two different methods. First, we apply trace driven simulation combined with random circular shifting. Second, we develop a model that uses Monte Carlo techniques. This approach includes the characterization of up and down times of each network component and the use of a model that generates correlated samples based on fitted marginal distributions. Finally, we analyze the probability density function of the interval availability for different observation periods under independent and correlated failures. (C) 2012 Elsevier B.V. All rights reserved.
A Network Architecture for Data-Driven Systems

Abstract : This technical report discusses the hardware and software constructs of a unique computer network designed by the author. The network is especially designed for a multiple computer system operating in a synchronous real-time simulation system environment. The network emulates a shared memory system but has the unique property of being serially linked. All currently available shared memory systems utilize parallel address and data transmission schemes that demand a close proximity of the computers. Now, due to the serial linking, the computers may be hundreds or thousands of meters apart. Innovative data-driven hardware and software concepts applied to the serially-linked shared-memory multi-computer structure allow network transmission and subsequent software execution to be commanded relative to the dynamics of shared data variables. This concept is contrasted to synchronous network transmission and software execution of conventional real-time multi-computer systems.
Ada 9X Project Report, A Study of Implementation-Dependent Pragmas and Attributes in Ada

Abstract : The Ada Standard describes an assortment of pragmas and attributes that a compiler must support. A compiler may add other pragmas and attributes as long as the legality of the program is not affected. This study examines implementation-dependent pragmas in existing compilers with the goal of identifying candidates for inclusion in a revised version of the language. Compiler support for language-defined pragmas is first characterized and we show that the level of support varies surprisingly between implementations. A change in the Standard's Appendix F is recommended to help remedy this problem. More than one-quarter of the implementation-defined pragmas (27%) serve to extend the functionality of pragma INTERFACE. Overall compiler uniformity would be improved by standardizing some of these extensions. A variety of implementation-defined pragmas are provided to improve program performance. Some of these pragmas yield well-defined results only if programs obey certain restrictions. The Standard should provide greater control over the use of these pragmas. In contrast to pragmas, we found very few implementation-dependent attributes, and none that seemed of sufficiently wide interest to merit inclusion in a revised version of the language.
Génération intégrée de textes et de graphiques statistiques

Les graphiques et le texte sont deux médias très différents. Heureusement, lorsque leur intégration est bien effectuée, ils se complètent à merveille: une image permet de montrer alors qu'un texte permet de décrire. Dans le cadre de notre recherche, nous étudions l'interaction entre le texte d'un rapport statistique et ses figures.Nous nous intéressons aussi à l'influence de l'intention du rédacteur(ses buts) sur un rapport. Notre but final est la réalisation d'un système capable de générer automatiquement des rapports statistiques contenant du texte et des graphiques à partir de données brutes.
The Word-Based Pyramid Method

Abstract : The comparison of human and machine generated descriptions is a problem confronting the document-understanding community and other researchers developing systems that output natural language. An investigator often wants to know how similar a machine description is to a human description. By assuming the message can be portrayed by a bag of words, it is possible to automate model formulation and then evaluate descriptions. Based on the study performed, the word-based pyramid method provides a useful tool for the quantification of verbal similarity.
A PUBLIC TRANSPORT ASSIGNMENT METHOD

A method is described for finding the shortest route through a public transport network. The algorithm used is an extension of the once-through algorithm. Before the solution is presented the characteristics of the Moore algorithm and the once-through algorithm are mentioned and the difficulties and related assumptions concerning the search of routes through a public transport network are analyzed. Reference is made to methods developed elsewhere to solve these difficulties. An outline is given of the program package in which the algorithm is incorporated. /TRRL/
CONTEXT AWARE PRIVACY PRESERVING CLUSTERING AND CLASSIFICATION

OF DISSERTATION CONTEXT AWARE PRIVACY PRESERVING CLUSTERING AND CLASSIFICATION Data are valuable assets to any organizations or individuals. Data are sources of useful information which is a big part of decision making. All sectors have potential to benefit from having information. Commerce, health, and research are some of the fields that have benefited from data. On the other hand, the availability of the data makes it easy for anyone to exploit the data, which in many cases are private confidential data. It is necessary to preserve the confidentiality of the data. We study two categories of privacy: Data Value Hiding and Data Pattern Hiding. Privacy is a huge concern but equally important is the concern of data utility. Data should avoid privacy breach yet be usable. Although these two objectives are contradictory and achieving both at the same time is challenging, having knowledge of the purpose and the manner in which it will be utilized helps. In this research, we focus on some particular situations for clustering and classification problems and strive to balance the utility and privacy of the data. In the first part of this dissertation, we propose Nonnegative Matrix Factorization (NMF) based techniques that accommodate constraints defined explicitly into the update rules. These constraints determine how the factorization takes place leading to the favorable results. These methods are designed to make alterations on the matrices such that user-specified cluster properties are introduced. These methods can be used to preserve data value as well as data pattern. As NMF and K-means are proven to be equivalent, NMF is an ideal choice for pattern hiding for clustering problems. In addition to the NMF based methods, we propose methods that take into account the data structures and the attribute properties for the classification problems. We separate the work into two different parts: linear classifiers and nonlinear classifiers. We propose two different solutions based on the classifiers. We study the effect of distortion on the utility of data. We propose three distortion measurement metrics which demonstrate better characteristics than the traditional metrics. The effectiveness of the measures is examined on different benchmark datasets. The result shows that the methods have the desirable properties such as invariance to translation, rotation, and scaling.
Tracing Technique in Geohydrology

This translation of the original German textbook, Hydrogeologie, summarizes tracing techniques. Individual chapters have been contributed by relevant experts from geology, hydrology, chemistry and virology, and engineering and isotope specialists. Text contributions are complemented by numerous figures. A cd rom will assist in the evaluation and presentation of data from tracing tests.
Point extraction and matching for registration of infrared astronomical images

In this thesis, we deal with digital image sequences produced by an infrared detector array. The image sequences are characterized by large variations in noise and gray level statistics from one frame to the next. Moreover, owing to a number of defective pixels in the detector array, the frames are deliberately shifted from each other to improve the statistical properties of the signal and minimize noise. This and the inherent pointing uncertainty of the instrument result in random errors in frame positioning larger than a few pixels. This thesis discusses two point-feature based techniques to register such frames. Image registration, in general, deals with the establishment of correspondence between images of the same scene. In order to establish this correspondence, two point-feature extraction andmatching algorithms have been developed and evaluated. The basic approach in both algorithms is to determine a multidimensional space of possible transformation parameters and choose a point in this space with the maximum probability of occurrence. Both algorithms make use of a localized histogram equalization and a thresholding function for feature extraction. The first relies on a priori information about the image sequences,
The Enhanced Instructional Presentation (EIP) Model: Adapting Linear Presentations to Meet Learner Needs

A miniature self-powered portable illuminating device including a thin-wall molded rectangular housing and removable bottom cover defining a battery compartment. The top surface of the housing includes a momentary on/off switch and an elongated flexible conduit mounted thereon. the conduit is economically formed using only protective coated dual-conductor stranded flexible wire tightly covered with a thin-wall plastic tube over its entire exposed length. By this arrangement, the molded reflector and sub-miniature high-intensity light bulb mounted therein may be easily manipulated into any desired shape. The housing is releasably attachable onto a working surface adjacent to or part of an object to be illuminated.
A TCM-Based Remote Anonymous Attestation Protocol for Power Information System

Project development in a power enterprise always needs to authorize external devices access to the enterprise intranet for testing. In order to avoid an external device with a virus and pose a security risk to the power information system, external devices should have strict security assessment before access the enterprise intranet. But after the security assessment, the device user still be possible to change the platform configuration. Remote attestation is one of important measures when two sides need to communicate. It is concernful to attest the remote platform is trusty but not revealing the any private information of the platform. For this reason, we designed a novel remote anonymous attestation protocol based on TCM. The proposed protocol does not need extra zero knowledge proof and the involvement of the third trusted party and the composite signature scheme is proved secure against existential forgery on adaptively chosen message. So this protocol has better security and execution property.
Update Mammakarzinom 2019 Teil 1 – Implementierung der Ergebnisse neuer Studienkonzepte beim frühen Mammakarzinom in die klinische Praxis

Zusammenfassung In der Prävention und Behandlung des frühen Mammakarzinoms sind über die Jahre immer wieder kleine, aber bedeutsame Fortschritte gemacht worden. In der Prävention gewinnen die sogenannten Panel-Gen-Analysen immer mehr an Bedeutung, da das durch die getesteten Gene bedingte Risiko immer besser verstanden wird und somit Konzepte für die Integration in die Krankenversorgung erarbeitet werden können. In der adjuvanten Situation konnte die erste Studie in der sogenannten post-neoadjuvanten Situation bei fehlender pathologischer Komplettremission nach Trastuzumab oder Pertuzumab + Trastuzumab eine deutliche Verbesserung der Prognose zeigen. Weitere Studien mit diesem post-neoadjuvanten Therapiekonzept werden zurzeit noch durchgeführt. Die CDK4/6-Inhibitoren, die in der metastasierten Situation eine deutliche Verbesserung des progressionsfreien Überlebens gezeigt hatten, werden zurzeit in der adjuvanten Situation in großen Therapiestudien getestet. Diese und weitere neue Daten zur Behandlung oder Prävention des primären Mammakarzinoms werden in dieser Übersichtsarbeit vor dem Hintergrund aktueller Studien vorgestellt.