Miracle-dz/UniFAR-FTUs huggingface dataset:
Sunshine duration climate maps of Belgium and Luxembourg based on Meteosat and in-situ observations

Abstract. Sunshine duration was historically the traditional parameter to quantify solar radiation. In the present study, we propose to benefit from the measurements made with Campbell-Stokes recorders at 18 sites in Belgium and Luxembourg to generate maps of daily sunshine duration for the period 1995–2005. In order to provide maps with the highest degree of confidence as possible, ancillary data of high spatial resolution derived from Meteosat satellites images are used within the mapping process. Different methods combining in situ sunshine duration measurements and Meteosat-derived data are evaluated. The best performing method is then used to compile a dataset of gridded daily sunshine duration data over Belgium and Luxembourg. The 1995–2005 sunshine duration climate map is finally provided. Various areal mean values are computed and discussed.
The dynamic brain : an exploration of neuronal variability and its functional significance

It is a well-known fact of neurophysiology that neuronal responses to identically presented stimuli are extremely variable. This variability has in the past often been regarded as "noise. " At the single neuron level, interspike interval (ISI) histograms constructed during either spontaneous or stimulus evoked activity reveal a Poisson type distribution. These observations have been taken as evidence that neurons are intrinsically "noisy" in their firing properties. In fact, the use of averaging techniques, like post-stimulus time histograms (PSTH) or event-related potentials (ERPs) have largely been justified based on the presence of what was believed to be noise in the neuronal responses. More recent attempts to measure the information content of single neuron spike trains have revealed that a surprising amount of information can be coded in spike trains even in the presence of trial-to-trial variability. Multiple single unit recording experiments have suggested that variability formerly attributed to noise in single cell recordings may instead simply reflect system-wide changes in cellular response properties. These observations raise the possibility that, at least at the level of neuronal coding, the variability seen in single neuron responses may not simply reflect an underlying noisy process. They further raise the very distinct possibility that noise may in fact contain real, meaningful information which is available for the nervous system in information processing. To understand how neurons work in concert to bring about coherent behavior and its breakdown in disease, neuroscientists now routinely record simultaneously from hundreds of different neurons and from different brain areas, and then attempt to evaluate the network activities by computing various interdependence measures, including cross correlation, phase synchronization and spectral coherence. This book examines neuronal variability from theoretical, experimental and clinical perspectives.
The Efficacy of Small Multiples in the Visual Language of Instructional Designs

e Efficacy Of Small Multiples In e Visual Language Of Instructional Designs Douglas B. Stringham Department of Instructional Psychology and Technology Brigham Young University Master of Science e visualization strategy of small multiples (Tue, 1983, 1990, 1997) is not merely the clever or ordered arrangement of similar and personable images; small multiples—purposeful compositions of similarly sized, repeated illustrations—contain a great deal more than the sum of their respective parts. e purpose of this study is to define a set of objectives and guiding tactics for using small multiples in the visual language of instructional designs. is study aims to (1) compile a targeted literature review cataloging the historical treatment of small multiples and their pedagogical and cognitive virtues and (2) analyze examples of small multiples usage in visual design artifacts to determine efficacious and expansive applications of this technique.
A fluid flow network solver for integrated building and plant energy simulation

This paper outlines the ESP approach to the simulation of coupled heat and mass flows in integrated building and plant systems. It describes the equation-sets used to represent inter-zonal (building) and inter-component (plant) fluid flow, the method used for the simultaneous solution of these non-linear equations, and the solution coupling of the heat and mass conservation equation-sets. By means of a case study, the application in a real building perfonnance evaluation context is demonstrated.
Tool Support for Two-Tiered Architectural Design for Automotive Control Systems

An attractive approach to architecture-based design is to structure the development process into two tiers. The top tier represents the abstract design (or architecture) of a system in terms of abstract components. The bottom tier refines that design by making specific implementation decisions, such as platform, middleware, and component implementations. While attractive in principle, there has been relatively little industrial-based experience to shed light on problems and solutions involved in such an approach. In this paper we describe our experience in developing tools to introduce a two-tiered model-based approach to the design of Ford Motor Company’s automotive control systems, highlighting the principle challenges, and evaluating the effectiveness of our solutions for them.
Using a

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Using Fisheye for Navigation on Small Displays

In this paper we present a solution to the problem of visualising large amount of hierarchical information structures on small computer screens. Our solution has been implemented as a prototype for mobile use on a hand-held computer using Microsoft Pocket PC with a screen size of 240x320 pixels. The prototype uses the same information as service engineers use on stationary computers. The visualisation technique we used for displaying information is based on fisheye technique, which we have found functional on small displays. The prototype is domain independent; the information is easily interchangeable. A consequence of the result presented here is that the possibility of using hand-held computers in different types of contexts increases.
Work-integrated learning with work-integrated learners

The digital era gives many new opportunities for higher education. Especially online education makes it possible to reach new groups of students like, for instance, full time working professionals. This case study investigates an online course in applied statistics constructed to attract “non-traditional students” such as full-time working professionals. The course was constructed using the Work Integrated Learning (WIL) approach as well as guidelines for statistics courses (GAISE) and online courses. The main goal of the article is to investigate if the course attracted the participants that were intended, and to summarize the pedagogical experiences from the course. Among the findings are that the course succeeded in attracting “non-traditional students”, it is also found that the concept of WIL and GAISE helps increase the participant’s interest in, and perceived usability of, statistics. Furthermore, the concept of WIL can be enhanced, both for the traditional and “non-traditional” students, by inviting the “non-traditional students” to share statistical problems from their workplace. This opens up for the pedagogical concept of using the participants in the course as a resource for WIL and hence building a course with the students rather than for the students.
Adabul mar'ah fil Islam

Buku ini memiliki beberapa Bab Bab 1 Wanita dan Pergaulan Bab 2 Berpakaian Menurut Tuntutan Islam Bab 3 Arak-Arakan Pawai dan Demonstrasi Bab 4 Wanita dan Kesenian Bab 5 Wanita dan Ilmu Pengetahuan Bab 6 Wanita dan Jihad Bab 7 Wanita Islam dalam Bidang Politik Bab 8 Bolehkah wanita Menjadi Hakimn Bab 9 Wanita Suri Tauladan dalam Sejarah Bab 1 Wanita dan Pergaulan Bab 2 Berpakaian Menurut Tuntunan Islam Bab 3 Arak-Arakan Pawai dan Demokrasi Bab 4 Wanita dan Kesenian Bab 5 Wanita dan Kesenian Bab 6 Wanita dan Jihad Bab 7 Wanita Islam dalam bidang Politik Bab 8 Bolehkah wanita menjadi Hakim ? Bab 9 Wanita suri Tauladan dalam Sejarah
The Treadmill of Alternatively Fueled Vehicle Production

This paper examines the extent to which alternatively fueled vehicles (AFVs) act as a counterforce to traditional fuel consumption in the United States. I estimate a time-series cross-sectional Prais-Winsten regression model with panel-corrected standard errors to explore how increases in the proportion of AFVs influences fuel consumption rates per vehicle. Findings indicate that AFVs are increasing the average fuel consumption rates of vehicles. Using an additional time-series cross-sectional Prais-Winsten regression model with panel-corrected standard errors, I demonstrate that at least part of this correlation is due to AFVs’ positive relationship to travel. I explain this phenomenon using the treadmill of production theory (a prominent theory in environmental sociology), and argue that AFVs up until this point have been used to expand development, and in turn environmental impacts. Furthermore, I argue that the inability of AFVs to replace traditional fuel consumption demonstrates a paradox in their application that can be explained through the treadmill of production theory.
Digital processing and management tools for 2D and 3D shape repositories

This thesis presents work on several aspects of 3D shape processing. We develop a learning based surface reconstruction algorithm that is robust to typical input artifacts and alleviates the restrictions imposed by previous such methods. Using the human shape perception motivated paradigm of representing a 3D shape by its 2D views obtained from its view sphere, we compute the shape’s “best views”, extend these views to obtain the more dynamic “best fly” of the shape and also compute shape complexity which is used to compare the shape with others so as to obtain an ordering. Our example based method to “correctly” reorient a 2D shape in an image is also presented as well as a strategy to approximate shape descriptor values on the view sphere using just a few samples. This allows to bypass the often time consuming requirement of evaluating the descriptor on a dense sampling of the view sphere to obtain an accurate representation. We also present our work on accelerating shape similarity retrieval by using techniques from text retrieval. Lastly, we present some of the guiding principles behind the maintenance and development of a large scale, publicly accessible shape repository.
Data Analysis through Polyhedral Theory From Land Consolidation to Circuit Diameters

I am interested in mathematical optimization and data analysis, two fields that concern themselves with educated decision-making. They tie into business analytics, life science, machine learning, computer science, and more. My work is based on the studies of high-dimensional objects arising in operations research and the analysis of big data. The geometric properties of these objects contain information about the combinatorial structure of underlying problems, and therefore show approaches for practice. I see optimization as a beautiful blend of mathematical theory and working in applications. The first part of this thesis, and the application that originally got me interested in data analysis, is on land consolidation. Already in 2001, Prof. Peter Gritzmann and Prof. Andreas Brieden began with the development of algorithms which formed an alternative approach for the classical form of land consolidation in agriculture, which was applied to several communities in Northern Bavaria [33, 34]. In my Ph.D. and postdoctorate time, we refined the methods for land consolidation in agriculture [19, 22, 23, 25, 35, 36], and I moved to studies in land consolidation in forestry. In particular, I lead an R&D-project for the Bavarian State Ministry of Agriculture, Nutrition, and Forests in 2012/13. It was concerned with the additional challenges arising in private forest areas [30, 31] and involved the engineering of software, and the application of methods and software in forest regions. The joint theoretical work on land consolidation and the practical implementation in both agriculture and forestry were recognized by the Euro Excellence in Practice Award 2013. The methods originally devised for land consolidation (in dimension two) work for all dimensions, and proved to be powerful tools for structuring point sets in arbitrary dimension showing the way for a broad field of application. These require the ability to deal with big data and noisy data sets. This lead to generalizations of classical methods in machine learning: weight-balanced k-means [24] (a generalization of k-means [76]) and soft power diagrams [21] (a generalization of multiclass separation [12]).
Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques

Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.
Feature logics, infinitary descriptions, and grammar

Constraint and unification-based approaches to grammar have become increasingly popular in computational linguistics because of their flexibility and descriptive power. These approaches have developed an important notion of feature structures that play a key role in the representation of linguistic information. This book provides a detailed survey and comparison of recent approaches to the logical formalization of feature structures and their description languages in constraint and unification-based grammar formalisms. Bill Keller is a lecturer in computer science and artificial intelligence in the School of Cognitive and Computing Sciences at the University of Sussex.
Game Theory and Learning for Wireless Networks: Fundamentals and Applications

* The first tutorial-style book that gives all the relevant theory at the right level of rigor, for the wireless communications engineer. * Bridges the gap between theory and practice by giving examples and case studies showing how game theory can solve real-word problems. * Contains algorithms and techniques to implement game theory in wireless terminals. Written by leading experts in the field, Game Theory and Learning for Wireless Networks Covers how theory can be used to solve prevalent problems in wireless networks such as power control, resource allocation or medium access control. With the emphasis now on promoting 'green' solutions in the wireless field where power consumption is minimized, there is an added focus on developing network solutions that maximizes the use of the spectrum available. With the growth of distributed wireless networks such as Wi-Fi and the Internet; the push to develop ad hoc and cognitive networks has led to a considerable interest in applying game theory to wireless communication systems. Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students. Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at Suplec, Gif-sur-Yvette, France. He is also a part-time professor in the Department of Physics at cole Polytechnique, Palaiseau, France. Hamidou Tembine is a professor in the Department of Telecommunications at Suplec, Gif-sur-Yvette, France. Merouane Debbah is a professor at Suplec, Gif-sur-Yvette, France. He is the holder of the Alcatel-Lucent chair in flexible radio since 2007. The first tutorial style book that gives all the relevant theory, at the right level of rigour, for the wireless communications engineer Bridges the gap between theory and practice by giving examples and case studies showing how game theory can solve real world resource allocation problems Contains algorithms and techniques to implement game theory in wireless terminals
Professional CUDA C Programming

Description: Break into the powerful world of parallel computing Focused on the essential aspects of CUDA, Professional CUDA C Programming offers down–to–earth coverage of parallel computing. Packed with examples and exercises that help you see code, real–world applications, and try out new skills, this resource makes the complex concepts of parallel computing accessible and easy to understand. Each chapter is organized around one central topic, and includes workable examples that demonstrate the development process, allowing you to measure significant performance gains while exploring all aspects of GPU programming. Professional CUDA C Programming:-Focuses on GPU programming skills and best practices that deliver outstanding performance-Shows you how to think in parallel-Turns complex subjects into easy–to–understand concepts-Makes information accessible across multiple industrial sectors-Features helpful examples and exercises in each chapter-Covers the essentials for those who are not experts in C programming wrox.com Programmer Forums Join our Programmer to Programmer forums to ask and answer programming questions about this book, join discussions on the hottest topics in the industry, and connect with fellow programmers from around the world. Code Downloads Take advantage of free code samples from this book, as well as code samples from hundreds of other books, all ready to use. Read More Find articles, e–books, sample chapters, and tables of contents for hundreds of books, and more reference resources on programming topics that matter to you.
Securing routing protocols through information corroboration

The continuous functioning of the Internet has become so vital to the normal operation of today's electronic communication activities that its disruption can cause catastrophic consequences. However, it is well-known that the modern Internet is not secure; both Internet application software and the underlying Internet infrastructure (such as routing) are vulnerable to a variety of attacks. This thesis studies the vulnerabilities of Internet routing protocols and examines practical mechanisms for improving their security. Specifically, we propose to verify the factual correctness of routing updates in a vectoring routing protocol by corroborating information from multiple sources. Based on this method, two proposals, S-RIP and psBGP, are developed for respectively improving the security of Routing Information Protocol (RIP) and the Border Gateway Protocol (BGP), both of which are based on vectoring approaches and widely used on the Internet. Advantages of our proposals include: simplicity---cryptographic mechanisms used are manageable; effectiveness---they can successfully defend against threats from uncoordinated malicious parties; and incremental deployability---they can be incrementally deployed with some incremental benefits.
Visuo-Haptic recognition of daily-life objects : a contribution to the data scarcity problem

Il est important pour les robots de pouvoir reconnaitre les objets rencontres dans la vie quotidienne afin d’assurer leur autonomie. De nos jours, les robots sont equipes de capteurs sophistiques permettant d’imiter le sens humain du toucher. C’est ce qui permet aux robots interagissant avec les objets de percevoir les proprietes (telles la texture, la rigidite et la matiere) necessaires pour leur reconnaissance. Dans cette these, notre but est d’exploiter les donnees haptiques issues de l’interaction robot-objet afin de reconnaitre les objets de la vie quotidienne, et cela en utilisant les algorithmes d’apprentissage automatique. Le probleme qui se pose est la difficulte de collecter suffisamment de donnees haptiques afin d’entrainer les algorithmes d’apprentissage supervise sur tous les objets que le robot doit reconnaitre. En effet, les objets de la vie quotidienne sont nombreux et l’interaction physique entre le robot et chaque objet pour la collection des donnees prend beaucoup de temps et d’efforts. Pour traiter ce probleme, nous developpons un systeme de reconnaissance haptique permettant de reconnaitre des objets a partir d'aucune, de une seule, ou de plusieurs donnees d’entrainement. Enfin, nous integrons la vision afin d’ameliorer la reconnaissance d'objets lorsque le robot est equipe de cameras.
Fingerprinting Software Defined Networks and Controllers

Abstract : SDN transforms a network from a calcified collection of hardware into a logically centralized and programmable method of interconnectivity. Changing the networking paradigm shifts a networks security posture. Changes visible to a host connected to the network include small latency differences between a traditional network environment and an SDN environment. This thesis aims to reliably distinguish SDN environments from traditional environments by observing latency behavior. Additionally, this thesis determines whether latency information contributes to the unique fingerprint of SDN controllers. Identifying the controller software gives an adversary information contributing to a network attack. An SDN and traditional network environment consisting of two hosts, one switch, and one controller are created. Within both environments, packet RTT values are compared between SDN and traditional environments to determine if both sets differ. Latency analysis is used to observe features of an SDN controller. Collected features contribute to a table of information used to uniquely fingerprint an SDN controller. Results show that packet RTTs within a traditional network environment significantly (p-value less than 1:0 10(-15)) differ from SDN environments. The predicted controller inactivity timeout within the simulated environment differs from the true timeout by a mean value of 0.44956 seconds. The emulated environment shows that the observed inactivity timeout depends on the network switch implementation of the controllers set value, leading to incorrect observed timeouts. Within the SDN environment, the host is not able to directly communicate with the SDN controller, leading to an inability to collect the number of features needed to uniquely identify the SDN controller.
Noun Phrase Complexity in English

1. Introduction 2. The variationist framework 3. Methodology I: defining the syntactic complexity of NPs 4. Methodology II: modes of data presentation, statistical procedures and electronic corpora 5. Optional verb phrases in topic-restricting as far as constructions 6. Word order variation involving the collocations take prisoner, hold prisoner and take hostage, hold hostage 7. Word-order variation involving pre- and postposed notwithstanding 8. Infinitival variation following help 9. NP-complexity and change 10. Conclusion and future directions.