Miracle-dz/UniFAR-FTUs huggingface dataset:
Estudio bibliográfico del estado del arte de la digestión anaerobia de residuos sólidos orgánicos y mejora del proceso mediante pretratamientos

The objective of this work is to perform a bibliographic study about the state of the art of anaerobic digestion of organic solid waste, beginning with its definition and a general classification. Next, the need to treat these waste is justified, as well as their possibility of converting them into a resource through the anaerobic digestion process. This process supposed an environmental and technologically attractive opportunity derived from the use of biogas as renewable energy. The methodology addressed in this study is based on the search and organization of information, as well as in the bibliographic selection criteria that adjusts of explicitly form to the subject treated. On the other hand, the anaerobic digestion process has been analyzed explaining its phases, the main bacteria involved, the parameters that affect and the technologies that can be carried out in this process with the associated energetic consumption. Finally, a comparative analysis of the pre-treatment methods is effected, between which the mechanical, thermal, chemical and thermochemical and biological pre-treatments stand out, that allow to improve the anaerobic digestion process and obtain a higher energetic yield.
Utilizing Wikipedia as a Knowledge Source in Categorizing Topic related Korean Blogs into Facets

As blog services and blog tools are becoming more and more popular, people have been able to express one’s own interests as well as opinions on the Web. Search engines are then used for accessing various information that can be found in the blogosphere, where, given a search query, a ranked list of blog posts is provided as a search result. However, such a search result in the form of a ranked list is not usually helpful for a user to quickly identify blog posts that satisfy his/her information need. This is especially true when, given a search query, the search result is a mixture of blog posts that focus on various sub-topics. In such a situation, the framework of faceted search [8], which has been well studied in the information retrieval community, can be a solution. In this paper, we propose a framework of categorizing Korean blog posts according to their sub-topics, where, given a search query, those blog posts are collected from the Korean blogosphere. In our framework, the sub-topic of each blog post is regarded as a facet of an initial topic keyword, and a facet is automatically assigned to each blog post. For example, Figure 1 illustrates a result of faceted search for an initial topic keyword “global warming” within the Korean blogosphere. In this result, a number of collected blog posts regarding “global warming” are categorized into facets by identifying each blogger’s interest in a blog post. This procedure of assigning a facet to a blog post is realized by utilizing Wikipedia entries as a knowledge source and each Wikipedia entry title is considered as a facet label. In the evaluation, we can achieve about 50∼70 % accuracy.
Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms

During the last decade, the web transformed from a web of information consumers to a web of information producers. In particular, the advent of online social media platforms is hugely responsible for this shift as people now actively post information in knowledge bases, engage in online communities and contribute to social media platforms. Hence, a vast amount of new information is produced each day. This publicly available data is an invaluable source of information which still is to be fully exploited. Due to the broad span of users of such systems (originating from different cultures and backgrounds, speaking different languages, etc.), the information provided features a limited amount of common structure, as e.g., objects are named differently and information is structured differently. This is a severe constraint in regards to the performance of search facilities. This thesis proposes to facilitate recommender systems to create and maintain a common structure within collaborative social media platforms aiming at improving search performance. For this purpose, two different recommender systems for two showcase platforms are presented. The first recommender system provides recommendations for structuring information within a semistructured information system whereas the second recommender systems is a hashtag recommender system for microblogging services. Zusammenfassung Wahrend des letzten Jahrzehnts hat sich das Web von einem Netz von Informationskonsumenten zu einem Netz von Informationsproduzenten gewandelt. Insbesondere die zunehmende Verbreitung von Social Media Plattformen hat grosen Anteil an dieser Entwicklung. Menschen erstellen nun aktiv Beitrage in Wissensbasen, beteiligen sich in online Communities und wirken bei Social Media Plattformen mit. So werden taglich sehr grose Datenmengen erzeugt, die fur die Offentlichkeit zuganglich sind. Allerdings werden diese wertvollen Datenmengen noch nicht vollstandig genutzt. Aufgrund der grosen Diversitat der Benutzer (verschiedene Kulturen, Hintergrunde, verschiedene Sprachen, etc.), weisen die verfugbaren Informationen nur beschrankt eine gemeinsame Struktur auf, so sind beispielsweise gleiche Objekte oft verschieden benannt oder Information ist verschieden strukturiert. Dies wirkt sich negativ auf die Performance der Suche auf diesen Daten aus. Diese Dissertation beschaftigt sich mit der Fragestellung, wie Recommender Systems (dt. Empfehlungssysteme) verwendet werden konnen, um eine gemeinsame Struktur in kollaborativen Social Media Plattformen erstellen und pflegen zu konnen. Das Ziel dabei ist, die Such-Performance auf diesen Daten zu verbessern. Dazu werden zwei exemplarische Empfehlungssysteme fur zwei solchen Plattformen prasentiert. Das erste Empfehlungssystem stellt Empfehlung fur die Strukturierung von Information in semistrukturierten Informationssystemen zur Verfugung. Das zweite Empfehlungssystem ist ein Hashtag-Empfehlungssystem fur Microblogging Plattformen.
Harvester of Desires: Gaming Amazon Echo through John Cayley's The Listeners

Over the past two years, smart speakers such as Amazon Echo have become popular entertainment technologies and, increasingly, game platforms in households across the globe. These systems are controlled through voice-interactive Artificial Intelligences such as Amazon’s Alexa. The present work seeks to open a conversation about voice-interactive games on smart speaker systems in game studies. While these platforms open exciting new creative spaces for gamers and game developers alike, they also raise ethical concerns: Smart speakers are powerful twenty-first century surveillance capable of interpreting, recording and synthesizing human speech. Through the lens of a case study on John Cayley’s ludic Alexa skill The Listeners, this paper interrogates how Amazon Echo’s technological affordances enable new forms of surveillance while also giving rise to a new poetics of voice interaction. Illuminating aesthetic and ethical dimensions can help scholars in game studies assess the risks and perks of this new ludic platform.
Dual redundant arm system operational quality measures and their applications: static measures

The authors present dual-arm system static operational quality measures which quantify the efficiency and capability of a dual-arm system in generating Cartesian velocities and static forces. First, they define and analyze the kinematic interactions between the two arms incurred by the various modes of dual-arm cooperation, such as transport, assembly, and grasping modes of cooperation, and specify the kinematic constraints imposed on individual arms in Cartesian space due to the kinematic interactions. Dual-arm static manipulability is presented. Finally, dual-arm operational quality is scaled by a task-oriented operational quality measure (TOQ/sub s/) obtained by the comparison between the desired and actual static manipulabilities. TOQ/sub s/ is used in the optimization of dual-arm joint configurations. Simulation results are shown. <<ETX>>
The Reactive Keyboard

Extremely slow communication is a daily reality for many people with different forms of physical disability. Modern computer interfaces can be designed to enhance expressive communication. This is accomplished first by supplying facilities to tailor them to each particular user's residual physical disabilities, and second by automatically supplying much of the redundancy inherent in natural communication. In the first part of this book a functional architecture for communication aids is discussed and the idea of automatically supplying the intrinsic redundancy contained in natural communication is explained. The distinctions between adaptive and non-adaptive models of communication are shown and details are given of working predictive text generation systems. One such system is the Reactive Keyboard, and in the second part of the book this is described. It greatly speeds communication by predicting the user's next response before it is made, although it does not always predict correctly. The guesses are made on the basis of previous answers and thus can conform to whatever kind of text is entered. Versions of the Reactive Keyboard exist for Unix, IBM PC, and Macintosh systems, free of charge, and can be tailored to individual user needs. This book will be of great value to all involved in helping disabled users interact with computers.
INTERACTION BETWEEN AUDIENCE AND GAME PLAYERS DURING LIVE STREAMING OF GAMES

Watching others play video games is a popular online activity. Video of a game in progress for a particular game player or team is broadcast live to an online audience, along with a feed of text shared among spectators and game players. Currently, spectators can interact with other spectators and the game players by posting text or emoji. This disclosure describes techniques that enable spectators to provide game resources to particular game players as gifts. The resources can include any object within the game and can have an impact on the outcome of a game. Greater interactivity and engagement can be achieved.
Hybrid Multicore Algorithms for Some Semi-Numerical Applications and Graphs

The computing industry has undergone several paradigm shifts in the last few decades. Fueled by the need of faster computing, larger data and real time processing needs parallel computing has emerged as one of the dominant paradigms. Motivated by the success achieved in distributed computing models and the limitations faced by single core processors, parallel computing is the only alternative for building faster computers. Parallel computing is one of the most challenging areas computer science in the present and developing algorithms and optimization techniques for utilizing the processing power present in a current generation parallel computer is still a very exciting area for research. The parallel computing industry underwent a massive shift with the conventional sequential computers hitting the power wall. It led to the development of multicore and many-core computing chips that had multiple sequential computing cores packed into a single chip. The immediate impact was the need for (re)designing sequential algorithms in order to utilize the computing power of such chips. Combined with the intricate memory and cache structures, parallel algorithms require a higher degree of engineering for the most optimal performance. The many-core revolution started with the release of Graphics Processing Units (GPU) which had a large number of compute cores and offered massive parallelism. With the evolution of the many-core chips, the GPUs found application in graphics, gaming as well as general purpose computation. In the same time frame, the Central Processing Units (CPU) too under went a sea of innovation and emerged as more powerful and mature computing machines. However, the multicore CPUs were mostly ignored in its initial days. With the advancement of accelerator platforms, the CPUs and GPUs are now able to communicate in a more efficient manner. In the recent times there has been quite a few works such as the ones in [79, 91, 43] that shows that hybrid algorithms actually provide better performance and efficiency over conventional accelerator based computing. In this thesis we work towards the development of hybrid multicore computing. Hybrid multicore computing is developing algorithms and optimization strategies for popular computing primitives on an hybrid platform. A hybrid platform is one which contains two or more multicore or many-core devices. There are several challenges towards the efficient algorithm design on hybrid platforms such as that of communication bottlenecks, load balance and synchronization. In this thesis we work towards developing algorithms for some computing primitives such as that of list ranking, sorting and pseudorandomness and some graph algorithms. We experiment on a hybrid platform consisting of a 6-core Intel CPU and Nvidia GPUs of broadly two generations.
An Historical Sketch of the Prevalence of Malaria in North America

INCIDENCE AND EPIDEMIOLOGY 1. Pre-Columbian indigenous malaria The question whether the early European conquerors and colonizers of the New World encountered malaria already established as an indigenous infection of the aboriginal population, or whether they, together with the subjugated Indians, were assailed by parasites introduced by the conquerors to the hospitality of American anophelines, is a subject of considerable interest, but at this date of little practical importance. Elucidation is difficult, for although illness and disease were two of the principal obstacles encountered, the deficiencies of medical knowledge of the times, together with the infrequency with which their characteristics came under the observation of medical men or even to the attention of keen lay observers, leave much to be desired in the available accounts. If, as is generally believed at present, the aboriginal population of the Americas represent the descendents of various migratory bands of Asiatics which crossed Bering Straits, it is to be expected that their slow passage through cold and arid regions would have eliminated any plasmodia with which their ancestors may have been infected in Asia (Childs, 1940).
Joint audio-video object localization and tracking

There has been a tremendous amount of research on object localization either involving microphone arrays or video cameras. Considerable less attention has been paid, however, to object localization and tracking based on joint audio-video processing thus far. This may be related to the lack of suitable algorithms for object localization simultaneously using multimicrophone outputs and color image sequences. In this article, we propose a solution to this problem. Before elaborating on joint audio-video processing, we review some previous work the areas of audio and video object localization. Then a recursive sensor fusion method based on decentralized Kalman filtering is introduced. Unfortunately, the decentralized Kalman filter cannot be directly used for joint audio-video object localization due to specific properties of the audio sensor. By properly adjusting the local audio position estimator, however, we manage to keep the overall architecture. We stress the general methodology.
Extraktion von Kontextinformationen zur Analyse von Nutzerströmen

Kontextadaptive Dienste ermitteln auf Basis von Sensordaten die aktuelle Situation des Nutzers. Dabei zahlt neben Zeit, Identitat und Aktivitat vor allem der Aufenthaltsort zu den primaren Kontextinformationen. Gerade Gebaude- und Infrastrukturbetreiber haben hochstes Interesse an solchen Daten, bekommen jedoch nur selten Zugriff darauf. Eine vielversprechende Alternative stellt das Aufzeichnen und Analysieren von Bluetooth- bzw. WLAN-Signalen dar, welches sich auch ohne Einverstandnis der Nutzer realisieren lasst. Einige Startup-Unternehmen bieten mit dieser Strategie bereits Kundenanalysen an, jedoch fehlen wissenschaftliche Studien uber die tatsachliche Gute solcher Verfahren. Zudem stellt die Extraktion primarer Kontextinformationen eine bisher ungeloste Herausforderung dar, da die aufgezeichneten Daten ein hohes Rauschen und eine geringe Frequenz aufweisen. Die vorliegende Arbeit geht dieses Problem der Datenunsicherheit an. So wird im ersten Teil untersucht, wie und welche Informationen aus Kommunikationsdaten gewonnen werden konnen. Diese werden anschliesend zur Berechnung von Nutzerstromen in einem realen Szenario verwendet. Mithilfe einer bekannten Grundwahrheit konnen erstmals belastbare Aussagen uber die Gute der evaluierten Verfahren getroffen werden. Die Ergebnisse zeigen, dass sich gerade WLAN-Daten zur Nutzerstromanalyse eignen, weshalb anschliesend Simulationsmodelle von WLAN-Beobachtungen entwickelt werden. Dabei wird erstmals neben der Zeit auch die Aktivitat und das Endgerat berucksichtigt. Der zweite Teil beschaftigt sich mit der Extraktion der Ortsinformation aus WLAN-Daten, die von mehreren Messknoten aufgezeichnet werden. Hierbei werden zunachst geometrische Ansatze zur Platzierung solcher Knoten vorgestellt. Auf Basis der Ergebnisse werden Messknoten installiert, um Bewegungspfade mobiler Nutzer im Gebaude zu ermitteln. Es zeigt sich, dass deterministische Methoden nicht die notige Genauigkeit liefern und probabilistische Verfahren andere Nachteile aufweisen. Deshalb wird der State-Partikel-Filter als neuartige hybride Variante vorgestellt, die im Rahmen der Evaluation bessere Ergebnisse in Bezug auf anerkannte Metriken erreicht. Im dritten Teil wird die Extraktion von Aktivitats- und Identitatsinformationen untersucht. Hierzu wird ein modifiziertes Verfahren zur Bestimmung von Ruhe- und Bewegungsphasen vorgestellt, das im Vergleich zu verwandten Arbeiten genauer ist. Auf Basis aller verfugbaren Informationen wird schlieslich zur Identitatserkennung eine Klassifizierung von Nutzerrollen durchgefuhrt. Anders als in bisherigen Arbeiten findet so eine komplette Extraktion primarer Kontextinformationen aus aufgezeichneten Kommunikationsdaten statt.
Power amplifier linearisation using digital predistortion and multi-port techniques

Power amplifiers are essential components in communication systems and are inherently non-linear. The non-linearity creates spectral growth (broadening) beyond the signal bandwidth, which interferes with adjacent channels. It also causes distortions within the signal bandwidth, which decreases the bit error rate at the receiver. This study reports an adaptive digital predistorter with fast convergence rate and low complexity and cost to alleviate these problems. In this design, a lookup table-based adaptive digital predistortion (DPD) technique using a five-port receiver instead of traditional heterodyne and homodyne architectures is proposed to realise the linearisation loop for this amplifier. The five-port receiver is implemented by use of passive microwave circuits and detector diodes. This approach highly reduces the cost and complexity of the linearisation system. Simulation and measurement results obtained are presented for a laterally diffused metal–oxide–semiconductor-based high-power amplifier biased in class AB operation with wideband code-division multiple access input signal to demonstrate the effectiveness of this novel DPD design. Moreover, these results are compared with DPD technique using homodyne receiver in feedback path.
Cloud Computing: Dissolving Traditional Boundaries

As an emerging technology and business paradigm, Cloud Computing has taken commercial computing by storm. Cloud computing platforms provide easy access to a company's high-performance computing and storage infrastructure through web services. Cloud computing is developed based on grid computing. Cloud computing is changing the way we provision hardware and software for on-demand capacity fulfillment and changing the way we develop web applications and make business decisions.
Psychologists In Word And Image

The psychologists in word and image that we provide for you will be ultimate to give preference. This reading book is your chosen book to accompany you when in your free time, in your lonely. This kind of book can help you to heal the lonely and get or add the inspirations to be more inoperative. Yeah, book as the widow of the world can be very inspiring manners. As here, this book is also created by an inspiring author that can make influences of you to do more.
A tojástermelés és -fogyasztás nemzetközi és magyarországi helyzete, főbb tendenciái

A tojas a legolcsobb allati eredetű feherje, amely alapvető nepelelmezesi cikknek szamit. Emellett kivalo funkcionalis elelmiszer es jelentős egeszsegvedő, betegsegmegelőző szerepe is van. A tanulmany celja a tojastermeles es -fogyasztas nemzetkozi es magyarorszagi helyzetenek, valamint főbb tendenciainak bemutatasa es ertekelese. A vilag tojastermelese 1990 es 2013 kozott kozel ketszeresere, 68,3 millio tonnara novekedett, s az elkovetkezendő ket evtizedre evente 2% koruli bővules prognosztizalhato. Ezzel egyutt a vilag eves egy főre juto tojasfogyasztasa 9,2 kg-ra emelkedett. Az EU tojastermelese 2015-ben kozel 7,6 millio tonna volt, ami 2005-hoz kepest 3,7%-kal tobb, s tovabbi novekedes varhato. A nemzetkozi tendenciaval ellentetben Magyarorszagon 2001-2016 kozott drasztikus mertekben, mintegy 30%-kal csokkent a tojoallomany es ezzel egyutt a tojastermeles is. Tojasfogyasztasunk 2013-ban 214 db/fő/ev volt, ami 45%-kal kevesebb, mint 1990-ben. Hazank onellatottsagi szintje jelenleg 70-75%, es ezzel egyutt jelentős mennyisegű import termek van a hazai piacon, ami alapvetően versenykepessegi problemakra vezethető vissza.
Measuring responses to dance : is there a 'grammar' of dance

This paper reports a series of experiments that investigated how dance artists learn to see and understand dance. We measured, in real time, the responses of a number of dance artists and students, to a range of different dance stimuli to gain an understanding of how observers respond to structural elements of dance as they unfold over time.
Desarrollo de cementos híbridos activados alcalinamente con desempeño de un cemento de uso general

En este trabajo de grado se desarrollaron cementos hibridos activados alcalinamente con el fin de disminuir la relacion Clinker/cemento con respecto a un cemento de uso general (CUG), basados en una escoria de alto horno como material suplementario (ESC), un cementante utilizado por la industria (MC), una adicion inerte (CA) y yeso -- Se evaluo el efecto de tres activadores alcalinos en las mezclas, tomando como variable de respuesta la resistencia a la compresion; se analizaron estadisticamente los resultados con la metodologia de superficie de respuesta (MSR), siendo los factores: el porcentaje de Na2O y la relacion oxido de calcio/silice (C/S) -- Ademas, se evaluo la reaccion alcali-agregado de un hibrido vs. el CUG -- Para caracterizar las materias primas y los cementos, se utilizaron tecnicas analiticas, tales como, microcalorimetria, difraccion de rayos X y fluorescencia de rayos X -- Se alcanzaron resistencias similares al CUG a 7 dias de curado, y se encontro que un cemento hibrido mitigo la reaccion alcali-agregado respecto al CUG