Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine learning with R : discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R

Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.
Analog building blocks for a sampled data fast wavelet transform CMOS VLSI implementation

A set of high performance analog blocks, used for a sampled data fast wavelet transform chip, is presented. Use of novel techniques based on multiple-input floating-gate MOS transistors enhances the circuit characteristics. Control circuits using these devices allow one to improve behavior parameters such as bandwidth, distortion, common-mode, and unity-gain compensation. An improved voltage follower circuit using these blocks is discussed. Simulation results are presented.
Productiviteit van korte vegetaties en beperkende factoren in relatie tot voedselrijkdom en vochttoestand van natuurterreinen; basisonderzoek voor ecologische nutriëntenmodellen

Op 39 standplaatsen met uiteenlopende bodemkundige en hydrologische omstandigheden zijn bodemkundige en hydrologische analyses uitgevoerd om empirisch-correlatief onderzoek te doen naar de productiviteit van de vegetatie en de aard van de beperkend factoren. Met de verkregen inzichten zullen de bestaande ecologische voorspellingsmodellen, die veronderstellen dat de productiviteit volledig wordt bepaald door de stikstofhuishouding, worden aangepast. Het blijkt dat in meer dan de helft van de standplaatsen behalve stikstof ook fosfor, kalium en vocht beperkend kunnen zijn. In grondwateronafhankelijke systemen blijkt de productie voornamelijk door vochtbeschikbaarheid te worden bepaald en in mindere mate door stikstof en fosfor. In grondwaterafhankelijke systemen kan de productie grotendeels worden verklaard uit de fosforvoorraden in de bodem. De beschikbaarheid daarvan wordt gereguleerd door ijzer en het luchtgehalte van de bodem. Kalium blijkt op vrijwel alle onderzochte plaatsen een beperkende factor te zijn. Aanbevolen wordt ecologische voorspellingsmodellen uit te breiden met de simulatie van de fosfor- en kaliumhuishouding en de vochtbeschikbaarheid om de productiviteit te kunnen voorspellen.
Game Programming Gems

From the Publisher: Blazing through the excitement generated by the first volume, Game Programming Gems II is here with an entirely new set of innovative ideas, techniques, and algorithms. Game developers of all levels will find insightful tips and tools from this unique collection. Written by game programming experts, each contribution provides a hands-on solution to a programming problem, or a creative method for reducing programming time and redundancy. Edited by Mark DeLoura, Editor-In-Chief of Game Developer magazine and a group of top-notch area editors, this collection covers the major topics needed to develop a state-of-the-art game engine and provides all new coverage of audio issues. From animation and artificial intelligence to Z-buffering, lighting calculations, weather effects, curved surfaces, audio tools, multi-player Internet gaming, music and sound effects, all of the major techniques needed to develop a competitive game engine are covered. All of the source code for each algorithm is included and can be used by advanced programmers immediately. For aspiring game programmers, the text for each algorithm explains the algorithm in detail, gives suggestions for beneficial modifications and optimizations, and includes references to related material. KEY FEATURES: * An all new collection of original tools for game programmers * New section on Audio tools and techniques * CD-ROM is packed with portable source code in C & C++; most of the techniques will work in OpenGL and Linux, however, there are some techniques which will only work on Windows/Xbox/DirectX.
Die Veränderung der Softwareerstellung durch Open Source

Zu Beginn der Computer-Ara war Software ein Gut, welches hauptsachlich als Zugabe beim Erwerb eines Computersystems gesehen wurde. Es existierten keine Softwarefirmen im heutigen Sinne, sondern die Software war ein Bestandteil der von den Hardwareherstellern angebotenen Produkte. Viele zusatzliche Programme wurden zu dieser Zeit von Anwendern fur ihre eigenen Bedurfnisse geschrieben und oftmals als public domain zur Verfugung gestellt. Mitte der '70er Jahre trat hier eine Wende hin zu kommerziell vertriebener Software ein. Seit der Grundung der Free Software Foundation (FSF), 1985, entstand eine organisierte Gegenbewegung Hier haben auch die heute bekannte GNU/General Public License, unter der auch Linux vertrieben wird, sowie das gesamte GNU-Projekt ihre gemeinsamen Wurzeln. Mit Grundung der Open Source Initiative6 (OSI) 1998 und der damit verbundenen Veroffentlichung der ersten Version der Open Source Definition (OSD) wurde der Begriff „Open Source“ (OS), wie wir ihn heute kennen einer breiten Offentlichkeit zuganglich gemacht. Die OSD (mittlerweile in der Version 1.9) ist selbst keine Lizenz sondern eine zehn Punkte umfassende Bedingung, die eine Lizenz erfullen muss, um als OS Lizenz zu gelten. Hierbei stehen vor allem die freie Verfugbarkeit des Quelltextes und die uneingeschrankte Weitergabemoglichkeit der Software an sich sowie des Quelltextes im Besonderen im Vordergrund. Auserdem mussen eine Veranderung des Quelltextes und die Weitergabe der veranderten Quellen uneingeschrankt gestattet sein. Der Unterschied zwischen den Ansichten der FSF und der Open Source Bewegung (OSI) finden sich in deren unterschiedlichen Betrachtungsweisen der Softwarewelt. Fur die Open Source Bewegung ist die Frage, ob eine Software quelloffen (open source) sein sollte, eine rein praktische und keine ethische. Eine nicht open source stehende Software stellt im Sinne der Open Source Bewegung lediglich eine suboptimale Losung dar. Die OSI sieht ihre Aufgabe vor allem in der Verwaltung und dem Marketing der OSD. Fur die FSF dagegen, stellt sie hauptsachlich ein soziales Problem dar. Der ursprungliche Entstehungsweg eines Open Source Projekts ging bisher von einem einzelnen Entwickler aus, der mit einem bestehenden Produkt unzufrieden war oder fur ein bestimmtes Problem keine passende Losung fand. Eine „strategische Ausrichtung“ von OS war in diesem Kontext nur schwer moglich. Diese Begrenzung von Open Source beginnt sich heute allerdings immer weiter aufzulosen. Viele Unternehmen sehen in Open Source mittlerweile eine alternative Moglichkeit und Chance, die es sich lohnt zu fordern und voranzutreiben. Im Weiteren wird diskutiert, inwiefern Methoden der Open Source Softwareentwicklung (OSSE) auch auf Unternehmensebene, d.h. in einem kommerziellen Umfeld, zum Einsatz kommen konnen. Es geht nicht darum, eine qualitative, produktbezogene Untersuchung von Open Source Software (OSS) im Vergleich zu proprietarer Software durchzufuhren, sondern den moglichen Nutzen von OSSE fur Unternehmen, die Software herstellen, zu analysieren.
Tales of Things - The Internet of ‘Old’ Tales of Things: Collecting Stories of Objects, Places and Spaces.

The design of digital memory technologies is arguably one of the grand challenges of Human-Computer Interaction research. Objects and places often mediate access to personal and collective memories and allow recollections of past experiences. Tales of Things is a tagging service that uses two-dimensional barcodes (QR Codes) and RFID tags to enable people to attach stories and memories to any object. The scanning of readable and writable tags allows stories to be replayed and added. Through these interactions provenance information about things is created which provides novel ways for engaging with past experiences. In our research we are exploring the implications of these digital object memories in different contexts.
Of spin and charge in the cuprates

Centraal in dit proefschrift staan de elektlonische eigenschappen van de cupraten, waarbij we zowel spinexcitaties als ladingsexcitaties bestudcrcn. De cupraten zijn voornamelijk bekend vanwege hun metallische fase met buitengewoon hoge ovelgangstemperaturen naar de supergeleinde toestand, maar de magnetische eigensxappen van de isolerende fase zijn niet minder interessant. Onze voorrraamste interesse is het verband tussen magnetisme en supergeleiding. Eerst geven we een uitgebreid overzicht van de stand van zaken in de wetenschappelijke discussie over de cupraten. Dit overzicht vormt de achtergrond waarin we onze eigen resultaten plaatsen. Zie: Samenvatting.
Battery Energy Storage System for Stochastic Based Power Dispatch Incorporating Renewable Energy Sources Uncertainty

This paper introduces battery energy storage systems (BESS) as one of the alternatives in dispatching power systems including renewable energy sources (RES) as well as thermal units. A stochastic based power dispatch model is proposed to optimize the operation of thermal units, RES and BESS involves the degradation cost of BESS. The RES operating cost considers the uncertainties of solar irradiance and wind speed by considering overestimation and underestimation penalty terms. The degradation cost of the BESS includes the starting and ending levels of the batteries’ state of charge as well as the discharge rate. Hybrid mean variance mapping optimization (MVMO-SH) algorithm is utilized to solve the dispatch problem. The model is tested using different case studies and the impact of RES as well as BESS penetration in power systems are investigated. The results show that there is a significant drop in the total operating cost caused by RES and BESS integration in the cases under study. This is attained by lessening the power drawn from thermal units.
Construction et utilisation de la sémantique dans le cadre de l'annotation automatique d'images

Cette these vise a ameliorer l'annotation automatique d'images en introduisant de la connaissance et en proposant un systeme completement automatique, ou notamment la base d’apprentissage est construite automatiquement a partir des images du Web. Cette these est constituee de trois parties : La premiere partie categorise une image en fonction de son type (photo, carte, peinture, clipart) puis pour les photographies, determine le contexte de la scene : interieur, exterieur, nuit, jour, nature, ville ? Y a-t-il des visages dans la photo ? Y a-t-il du ciel, de l���herbe, de l’eau, de la neige, une route dans l’image ? La deuxieme partie construit automatiquement une base d’apprentissage pour n’importe quel objet. Ne connaissant que le nom de l'objet a apprendre, nous deduisons automatiquement sa couleur et le milieu dans lequel il se trouve a partir du web. Nous utilisons ces connaissances pour filtrer des images recuperees egalement sur Internet, c’est-a-dire rejeter les images ne correspondant pas au concept recherche, et isoler la region correspondant a l’objet dans l’image. La troisieme partie concerne la desambiguisation, i. E. La maniere de choisir parmi plusieurs hypotheses de reconnaissance pour une region donnee celle qui permet une annotation globale de l’image semantiquement coherente. Deux sortes de desambiguisation sont developpees : l'une utilise les relations spatiales, et s’assure que par exemple le ciel est toujours au-dessus de la mer ; l'autre tient compte du contexte de l’image, en utilisant la relation entre les objets et les milieux dans lesquels ils se trouvent : on a plus de chance de trouver un elephant dans la savane et un dauphin dans l'eau.
Multics Security Evaluation Volume II. Vulnerability Analysis.

Abstract : A security evaluation of MULTICS for potential use as a two-level (Secret/Top Secret) system in the Air Force Data Services Center (AFDSC) is presented. An overview is provided of the present implementation of the Multics Security controls. The report then details the results of a penetration exercise of Multics on the HIS 645 computer. In addition, preliminary results of a penetration exercise of MULTICS on the new HIS 6180 computer are presented. The rport concludes that MULTICS as implemented today is not certifiably secure and cannot be used in an open use multi-level system. However, the Multics security design principles are significantly better than other contemporary systems. Thus, MULTICS as implemented today, can be used in a benign Secret/Top Secret environment. In addition, MULTICS forms a base from which a certifiably secure open use multi-level system can be developed.
Emergence of imitation mediated by objects

This paper describes our model of the emergence of a mirror system for imitative learning. The mirror system is an intermodal mapping between someone's action (as seen) and one's own action (to execute). It is widely assumed that the mapping is a geometric transformation between bodies in the visual and motor spaces; however, it is still unclear if the mapping is innate or, if not, how it is acquired. We claim here that the mapping is not a geometric transformation between bodies but a functional correspondence between someone's action on an object for producing an effect and one's own action on the same or similar object for producing a similar effect, which is learnable because both tend to utilize the object's affordance in a similar way.
A robust low rate voice codec for wireless communications

The design, implementation and performance of a high quality low bit rate speech codec for wireless communication is presented. The codec is based on the CELP model. Generalized analysis-by-synthesis, algebraic fixed codebooks, and multistage LSF techniques are used, resulting in robustness to transmission errors and high quality across changing speech levels and background noise conditions. The bit allocations for the quantization of LSF, pitch and the excitation are chosen in a mode specific manner based on a robust mode classification scheme. A 4.8 kb/s version has been implemented and subjective tests show speech quality that is equivalent to or better than most cellular standard codecs. Performance is also consistent across speech levels and transmission errors.
Architecture Design Selection Scheme for Usability Quality Attribute

Usability quality attribute is one of the important quality attributes because it is a basic need for end-user stakeholder. Usability provides the ease of use and learnability to end user. Usability is very useful quality attribute of software architecture and architect should remember about usability aspect. Usability aspect means such type of software architecture which provides the learnability, memorability and performance. In this paper we discuss software architecture design based on usability aspect. Usability is necessary for end-users and business stakeholders. We measure and evaluate the usability through one of the mathematical equations. For the selection of usability aspect, or to evaluate the highest usability score in different architecture designs, we have taken the questionnaire from technical persons on the basis of nonfunctional requirements or subcharacteristics of usability quality attributes such as learnability, memorability and performance. Then finally we calculate the usability score.
Next Generation of Recommender Systems: Algorithms and Applications

OF THE DISSERTATION NEXT GENERATION OF RECOMMENDER SYSTEMS: ALGORITHMS AND APPLICATIONS by Lei Li Florida International University, 2014 Miami, Florida Professor Tao Li, Major Professor Personalized recommender systems aim to assist users in retrieving and accessing interesting items by automatically acquiring user preferences from the historical data and matching items with the preferences. In the last decade, recommendation services have gained great attention due to the problem of information overload. However, despite recent advances of personalization techniques, several critical issues in modern recommender systems have not been well studied. These issues include: (1) understanding the accessing patterns of users (i.e., how to effectively model users’ accessing behaviors); (2) understanding the relations between users and other objects (i.e., how to comprehensively assess the complex correlations between users and entities in recommender systems); and (3) understanding the interest change of users (i.e., how to adaptively capture users’ preference drift over time). To meet the needs of users in modern recommender systems, it is imperative to provide solutions to address the aforementioned issues and apply the solutions to real-world applications. The major goal of this dissertation is to provide integrated recommendation approaches to tackle the challenges of the current generation of recommender systems. In particular, three user-oriented aspects of recommendation techniques were studied, including understanding accessing patterns, understanding complex relations and understanding temporal dynamics. To this end, we made three research contributions.
Second order PMD compensation using correlation factor between degree of polarization and depolarization rate

We proposed a new algorithm to calculate the feedback signal-depolarization rate for the second order PMD compensation. For this, we suggested the correlation between DOP and depolarization rate, and verified its validity through the analysis. With the application of this algorithm, the outage probability at 10/sup -12/ BER decreased by more than three times at averaged DGD value of 30 psec. The simulation results shows that the new algorithm will be useful in enhancing the system performance under severe PMD environment.
Functional magnetic resonance imaging : methods and applications

The technique of functional magnetic resonance imaging is rapidly moving from one of technical interest to wide clinical application. However, there are a number of questions regarding the method that need resolution. Some of these are investigated in this thesis. High resolutionf MRI is demonstrated at 3.0 T, using an interleaved echo planar imaging technique to keep image distortion low. The optimum echo time to use in fMRI experiments is investigated using a multiple gradient echo sequence to obtain six images, each with a different echo time, from a single free induction decay. The same data are used to construct T2* maps during functional stimulation. Various techniques for correcting the N/2 ghost are tested for use in fMRI experiments, and a method for removing the image artefact caused by external r. f. interference in a non-linearly sampled matrix is presented. The steps in the analysis of fMRI data are detailed, and two new non-directed analysis techniques, particularly for data from single events, as opposed to epoch based paradigms, are proposed. The theory behind software that has been written for fMRI data analysis is also given. Finally, some of the results from an fMRI study into the initiation of movement are presented, illustrating the power of single event experiments in the separation of cognitive processes.
Signal and image source separations by wavelet analysis

Blind Source Separation (BSS) is one of the hottest emerging areas in signal processing. The purpose of BSS is to separate and to estimate the original sources from the sensor array, without knowing the transmission channel characteristics. Besides methods based on independent component analysis which is one of the most powerful tools for BSS, several methods based on time-frequency analysis have been proposed. One of them is the quotient signal estimation method which can estimate the unknown number of sources. We present a new method using wavelet analysis and apply it to signal and image source separations.
Object manipulation and grasping for virtual humans

Virtual environments need virtual humans that are capable of interacting with objects around them. Existing virtual environments have not found satisfactory general solutions for this problem. The common method is to combine pre-designed (or motion captured) virtual human animation with simple object animation. While the quality of animation produced for object manipulation by such techniques is usually acceptable, adaptability to changes in the virtual environment is very low, if not non-existent. There is also usually no provision for increased variety in interaction scenarios, meaning that a virtual human manipulates an object always exactly in the same way. The answer may lie in higher-level descriptions of object manipulation. This thesis explores different options available to construct and exploit such descriptions. A primary contribution of this thesis is a manipulation framework that brings together a methodology for defining semantic information and several algorithms for virtual human animation to enable describing manipulation sequences in a procedural manner. Within this framework, we also address how virtual object grasping, an action that is central to object manipulation, can be accomplished. Moving towards an even more high-level specification, we also look at how motion planning techniques can be employed to simply specify start and end configurations and have a manipulation sequence generated from these. Several case studies are provided to illustrate the capabilities and potential of the proposed approaches.
Overview of MPEG audio : Current and future standards for low-bit-rate audio coding

Since 1988 MPEG has been working on the standardization of high-quality low-bit rate audio coding. In 1992 and 1994 the MPEG-I and MPEG-2 audio standards were completed. Current work in MPEG includes the MPEG-2 advanced audio coding (MPEG-2 AAC) 1 of stereo or multichannel sound material and the audio part of MPEG-4. Common features as well as differences between MPEG-I and MPEG-2 audio, other current audio coding systems currently in use, and the new work for MPEG-2 AAC and MPEG-4 audio will be presented.
Using object database as a cache for relational database - performance and usage considerations

Every non trivial application cooperates with database, usually of relational type. In most cases this cooperation decreases the performance. The fastest, but not too handy, way to access a relational data from an object application is SQL. As alternative one can use object-relational mapping and/or object or NoSQL database. Object database paradigm is the same as object application uses. This makes it possible to avoid characteristic concept dualism (so called impedance mismatch) and resulting from this need to transform relations into objects and vice versa. This article presents an attempt to use ORM and object database to increase performance of accessing relational database.
Song Similarity Classication

The purpose of this study was to investigate the possibility of automaticallyclassifying the similarity of song pairs. The machine learning algorithmK-Nearest Neighbours, combined with both bootstrap aggregating andanattribute selection classier, was rst trained by combining the acousticfeatures of 45 song pairs extracted from the Million Song Dataset with usersubmittedsimilarity for each pair. The trained algorithm was then utilizedto predict the similarity between 50 hand-picked and about 4000 randomlychosen pop and rock songs from the Million Song Dataset.Finally, the algorithm was subjectively evaluated by asking users to identifywhich out of two randomly ordered songs, one with a low and one witha high predicted similarity, they found most similar to a target song. Theusers picked the same song as the algorithm 365 out of 514 times, giving thealgorithm an accuracy of 71%. The results indicates that automatic and accurate classication of songsimilarity may be possible and thus may be used in music applications. Furtherresearch on improving the current algorithm or nding alternative algorithmsis warranted to draw further conclusions about the viability of usingautomatically classied song similarity in real-world applications.