Miracle-dz/UniFAR-FTUs huggingface dataset:
A Radiosity Solution for Complex Environments

Ein Ziel der Computergrafik ist es, realistische Bilder von nichtexistenten Szenen zu erstellen. Dies wird durch die Simulation der Verteilung der Lichtenergie in einer gegebenen Geometrie oder physikalischen Beschreibung der Umgebung erreicht. Ein grosseres Problem dabei war die korrekte Simulation der globalen Beleuchtungseffekte. Das von einem Objekt abgegebene Licht entsteht entweder durch direkte Abstrahlung, wie z.B. bei einer Lichtquelle, oder durch Reflexion oder Transmission von einfallendem Licht. Das einfallende Licht kann das Objekt direkt erreichen (auf einer Linie zwischen einer Lichtquelle und dem Objekt) oder indirekt durch typischerweise komplexe Reflexionen oder Transmissionen anderer Objekte in der Umgebung (Licht aus „sekundaren“ Lichtquellen). Diese sekundaren Lichtquellen wurden fruher ignoriert oder im besten Fall mehr schlecht als recht modelliert. Meistens wurden sie durch einen konstanten Term approximiert, der dann als ambiente Komponente hinzuaddiert wurde. Fur die spekulare Komponente der globalen Beleuchtung existieren bereits Losungen, wie z.B. das Ray-TracingVerfahren. Die Mehrheit der Oberflachen in einer realen Umgebung sind diffuse Reflektoren, d.h. ein einfallender Lichtstrahl wird in alle Richtungen innerhalb der Halbkugel uber der Oberflache reflektiert. Ein Spezialfall eines diffusen Reflektors ist der „ideal diffuse“ oder „Lambertscher“ Reflektor. Das einfallende Licht wird in diesem Fall in alle Richtungen mit gleicher Intensitat reflektiert. Goral et al. haben zwar in [1] mit der Radiosity-Methode eine Losung fur die diffuse Komponente der globalen Beleuchtung vorgeschlagen, gingen aber von Umgebungen aus, in denen sich Objekte gegenseitig nicht verdecken. Ziel dieses Papers ist es, das Radiosity-Verfahren so zu erweitern, dass auch Umgebungen mit sich gegenseitig verdeckenden Objekten zugelassen sind.
HTS-technology for UMTS radio base stations

The impact of high-temperature-superconductor (HTS) technology onto future Universal Mobile Telecommunications System (UMTS) radio base stations is discussed. It is shown that HTS-technology offers advanced RF prefiltering capabilities which can be used to obtain significantly increased dynamic range and sensitivity in W-CDMA multicarrier receivers. Furthermore it provides a mean to cope with extremely high selectivity requirements for combined FDD and TDD operation.
Composition and Analysis of Music Using Mathematica

In this paper we demonstrate how to create and analyze musical compositions using Mathematica. In Section 1, we begin by demonstrating how to create a musical composition for an orchestra based on the butterfly curve using traditional means. In Section 2, we then show how a computer generated piece based on any curve can be composed using Mathematica. Finally, in Section 3 we show how Mathematica can be used to analyze musical compositions using the methods from nonlinear time series analysis. 1. The composition of an orchestral piece using the butterfly curve 1.1 The relationship between music and mathematics In the composition of a musical work, it is common to find that musical transformations are closely related to geometric transformations [1]. For example, in musical terms, a geometric reflection occurs when notes are symmetric about some line in a staff. In this paper, we study the relationship between music and mathematics through the use of Mathematica. This approach is based on the premise that the compositional process of a musical work could be generated from a graph of a mathematical expression by using geometric transformations as patterns for musical transformations. In this attempt, the graphical expression of a parametric curve executed through Mathematica is taken as a starting point for determining the compositional features and creating form in an acoustical piece. The following section contains a description of the compositional process of an orchestral work based on a butterfly curve [2]. In[1]:= r@t_D := 8Sin@tD HE^Cos@tD − 2 Cos@4 tD + Sin@te12D^5L, Cos@tD HE^Cos@tD − 2 Cos@4 tD + Sin@te12D^5 L<; ParametricPlot@r@tD, 8t, 0, 48<, AspectRatio → Automatic, PlotStyle → RedD;
The Negative Search, Online Reference, and the Humanities: A Critical Essay in Library Literature.

s (LISA), and Information Science Abstracts (ISA) revealed neither use of the specific terms negative search or negative searching nor discussion of the general concept. This somewhat impressionistic finding led to the present study. 7. Texts and readers examined included: Margaret Hutchins, Introduction to Reference Work (Chi cago: American Library Assn., 1944); Denis Grogan, Practical Reference Work (London: Clive Bingley, 1979); Thomas J. Galvin, Current Problems in Reference Service (New York: Bowker, 1971) ; William A. Katz, Introduction to Reference Work, 5th ed. 2 vols. (New York: McGraw Hill, 1987); Diana M. Thomas, Ann T. Hinckley, and Elizabeth R. Eisenbach, The Effective Reference Librarian (New York: Academic Pr., 1981); Gerald Jahoda and Judith Schiek Braunagel, The Librarian and Reference Queries (New York: Academic Pr., 1980); Bill Katz and This content downloaded from 207.46. 13.101 on Sat, 08 Oct 2016 05:59:38 UTC All use subject to http://about.jstor. org/terms
Spatial configuration in communication via a MRP system

21 novice users working as alarm operators, responding to alarms coming from elderly were invited to a training session where they tried driving Giraff for the first time. The users did a scripted visit in a ”home” via Giraff. As such they were asked to behave as if it was a real visit. All training sessions were filmed for later analysis of spatial formations. Specifically we were interested in analyzing the spatial formation in four situations: • S1 – Whether the pilot followed the elder to the kitchen. • S2 – Whether the pilot formed a vis-a-vis while talking about a delicate matter in the kitchen • S3 – Whether the pilot went ahead of the elder when asked to find the remote to the television set • S4 – Whether the pilot would form a L-shape when describing the location of the remote which was located in a space restricted area where forming a Side-by-side was difficult. In S1, 18 out of 21 (86%) followed the elder. The other three (14%) drove ahead of the elder. While interacting in the kitchen (S2), only 14/21 (67%) formed a vis-a-vis with the elder. The other 7 (33%) did not turn Giraff towards the elder but instead looked away. In S3, 13/21 /62%) drove ahead of the elder when asked to find the remote , but 8 followed the elder. In S4, only 13/21 formed the expected L-shape when finding the remote and 8 unexpectedly formed a side-by-side. One-way anova tests show that the choice of spatial formation influenced the participants’ perceived presence. The ones who drove ahead of the elder in S1 experienced the interaction with the elder with a higher attentional engagement [7] than the ones following the elder. The ones forming the expected L-shape in S4 experienced a higher comprehension [7] than the ones choosing the side-by-side. The choice of formation also correlated with the perceived ease of use of the system. The ones doing the expected vis-a-vis in S2 thought it was both easier to leave the docking station and to make a u-turn than the ones doing the unexpected look-away in the kitchen. The researcher also observed that the ones forming the side-by-side in S4 steered the Giraff with more difficulty. It could be the case that the ones perceiving Giraff as easier to use had to put less of an effort in forming the spatial formations. Spatial Configuration in Communication via a MRP System Annica Kristoffersson, Center of Applied Autonomous Sensor Systems (AASS), Orebro University, Sweden. E-mail: annica.kristoffersson@oru.se
An ultrawideband patch antenna for UHF detection of partial discharge

The location of partial discharge (PD) sources by free-space UHF detection is an attractive approach for condition monitoring of high voltage equipment in substations. A low-cost, radiometric, PD wireless sensor network (WSN) has been proposed to provide continuous real-time coverage for an entire substation (J.M. Neto, Y. Zhang, A. Jaber, M. Zhu, M. Judd, R. Atkinson, J. Soraghan, J.S. Neto, M.F. Vieira, I.A. Glover, 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS), Beijing, 16 – 23 Aug. 2014, pp.1–4). A suggested band for UHF PD detection is 0.3 – 1.5 GHz (Z. Tang, C. Li, X. Cheng, W. Wang, J. Li, IEEE Trans. Dielectr. Electr. Insul., 6, 2006, pp. 1193–1199). A novel ultrawideband (UWB) printed monopole antenna is presented here for PD WSN applications.
Personal Content Experience: Managing Digital Life in the Mobile Age

An agricultural tool bar includes a main frame adapted to be drawn by a traction vehicle. First and second tool support beams are pivotally mounted to the main frame. The tool support beams are adapted for movement between a use position and a road travel position. In the use position, the axes of the tool support beams are collinear and extend transverse of the direction of travel of the vehicle, and in the travel position, they are folded rearwardly. An articulated link is provided for each tool support bar, selectively holding it either in the use position or the folded position. The main frame and tool support beams may be raised relative to the ground so that the tool support bars do not have to be rotated about horizontal axes prior to folding.
An Statistical Research on Feed Forward Neural Networks for Forecasting Time Series

In recent years, artificial neural networks have being successfully used in time series analysis. Using linear methods such as ARIMA and exponential smoothing for non linear time series cannot produce satisfactory results. Although there are various non linear methods, these methods have an important drawback that all of them require a specific model assumption. On the other hand, artificial neural networks have no restrictions such as linearity or model assumptions. In many applications within the time series analysis, it has been seen that artificial neural networks produce more accurate results than those obtained from traditional methods. In spite of the fact that artificial neural networks provide some advantages, re- searchers keep working on the component selection problem of the method. The answer of the question that which compo- nents of the method should be used is a vital issue in terms of forecasting performance. In this study, the effects of number of hidden layer and length of test set on forecasting performance of artificial neural networks are examined. Eight real time series are used in the implementation. The obtained results are analyzed by using statistical analysis and are interpreted.
Language, Mind and Brain: Some Psychological and Neurological Constraints on Theories of Grammar

Chapter 1: Introduction Part I: The Basic Specifications Chapter 2: Language Processing: Speed and Flexibility1. The Complexity of the Task2. Speed3. Processing Shortcuts 4. Implications for Linguistic Theory Chapter 3: Language Acquisition: Robustness1. Individual Differences2. The Role of Input3. Language Development in Blind Children4. The Robustness of Language Chapter 4: Language in the Brain 1. The Localisation Issue2. Preservation of Grammatical Knowledge in Brosca's Aphasia3. The Co-occurrence of Lexical and Grammatical Deficits4. The Resilience of Language Chapter 5: Language and Other Cognitive Processes1. A Genetically Specified Language Module? 2. Human Adaptations to Language3. Language Adaptations to Humans4. Universal Grammar Again5. Conclusion Part II: The Building Blocks of Language Chapter 7: Words1. The Semantics of Locative Terms2. The Acquisition of Locative Terms3. Innate Structure, yes -- but of What Kind? 4. Lexical Learning in a Constrained Connectionist Network5. Conclusion Chapter 8: On Rules and Regularity1. Words and Rules2. The Connectionist Bombshell3. The Linguists Strike Back4. The Dual-Mechanism Model5. The German Plural: A Minority Default? 6. An Inflectional System Without a Default: The Polish Genitive7. The Final Test Case: The Polish Dative8. Interim Conclusions9. Challenges for Connectionism Chapter 9: Syntactic Constructions1. Ties between Lexical and Grammatical Knowledge2. Multi-word Units in Acquisition3. A Case Study: Questions Chapter 10: The Cognitive Enterprise1. Towards a Psychologically Realistic Grammar 2. A Crash Course in Cognitive Grammar3. Language Production in a CG Framework4. A Cognitive View of Language Acquisition5. More on Regularity6. Future Directions BibliographyIndex
Dealing with Variability in Architecture Descriptions to Support Automotive Product Lines.

Architectural description languages (ADLs) are essential means for a system and software design in the large. Their common concepts are components, ports, interfaces and connectors. Some of them already support the representation and management of variance, a prerequisite to support product line engineering, but the support of variability often stops on component level. In this paper, a more detailed view on the integration of variability into architectural models is taken. The focus is set on providing support for product line engineering within the automotive E/E1 domain, where functionality and/or its realization is varying according to specific customer needs and hardware topologies. In general, the fundamental question in this domain is not, whether a product line approach should be applied, but what is the best way to integrate it.
Desambiguação lexical de sentidos para o português por meio de uma abordagem multilíngue mono e multidocumento

The lexical ambiguity is considered one of the main barries to improving applications of Natural Language Processing (NLP). In this context, it has benn the area of Word Sense Disambiguation (WSD), whose goal is to develop and evaluate methods to determine the correct sense of a word in a give context by a nite set of possible meanings. The DLS is used mainly in order to provide resources and tools to reduce problems of ambiguity and thus contribute to improved results in other areas of NLP. In the Portuguese of Brazil, little has been researched in this area, with some work and speci c domain. Another important factor is that many areas of NLP commit themselves in multidocument scenario, where the computation is performed on a collection of texts, however, there is no report of WSD work directed to this scenario, either disambiguation experiments in this eld. Therefore, this master thesis aimed to develop methods of WSD general domain facing the Portuguese language in Brazil and the development of algorithms that make use of disambiguation multidocument informations, as well as experimentation and evaluation of the multidocument scenario. Therefore, in order to support experiments, development and evaluation of this project, the corpus CSTNews with 50 document collections, was manually annotated by means of synsets of the WordNet Princeton. Four methods were developed: A heuristic method (to measure values fo baseline); variations of the Lesk (1986) algorithm; a adaptation of the Mihalcea and Moldovan (1999) algorithm; and a variation of the Lesk method for multidocument scenario. Three experiments were conducted to evaluate the methods, whose objectives were to determine the general performance algorithms across the corpus; evaluate the quality of disambiguation of most ambiguous words in the corpus, and check the gain quality of disambiguation by employing information multidocumento. After these experiments, it was observed that the heuristic method presents a better overall result. However, it is important to note that most of the words in the annotated corpus had only one synset, which usually was the most frequent, which, in turn, presents a scenario more conducive to the heuristic method. Another important fact was that in this scenario, the performance di erence between the heuristic method and multidocument algorithm was statistically irrelevant. As for the disambiguation of most ambiguous words, the heuristic method was lower, indicating that, for the disambiguation of ambiguous words, more sophisticated WSD methods are needed. Finally, it has been found that the use of multidocument information assists the disambiguation process. The contributions of this work can be divided between theoretical and technical. In theory, there is the research and analysis of WSD in multidocument scenario. Among the techniques contributions, WSD methods have been developed an annotated corpus and annotation tool targeted to the Portuguese language in Brazil that can advance research in WSD for the language.
Region Based -Semantics Graph Driven Image Retrieval

This work is about content based image database retrieval, focusing on developing a classification based methodology to address semantics-intensive image retrieval. With Self Organization Map based image feature grouping, a visual dictionary is created for color, texture, and shape feature attributes, respectively. Labeling each training image with the keywords in the visual dictionary, a classification tree is built. Based on the statistical properties of the feature space we define a structure, called ? -Semantics Graph, to discover the hidden semantic relationships among the semantic repositories embodied in the image database. With the ? -Semantics Graph, each semantic repository is modeled as a unique fuzzy set to explicitly address the semantic uncertainty and the semantic overlap existing among the repositories in the feature space. A retrieval algorithm combining the built classification tree with the developed fuzzy set models to deliver semantically relevant image retrieval is provided. The experimental evaluations have demonstrated that the proposed approach models the semantic relationships effectively and outperforms a state-of-the-art content based image retrieval system in the literature both in effectiveness and efficiency.
BAGS: The Brown Animation Generation System

BAGS is a system for the production of three-dimensional computer animation. It is also a testbed for research into techniques used within animation systems. The combination of these aspects in one animation system is made possible by a modular design, in the center of which lies SCEFO, a general language for animation specification. SCEFO serves as the interface between the modeling and rendering components of BAGS, allowing these distinct processes to be independent. This decoupling of modeling and rendering permits a variety of modeling and rendering techniques to be incorporated in the system. The use of an object-oriented paradigm also contributes to this flexibility. The use of BAGS as a framework for research has resulted in the development of a realistic lighting model and two extensions to the ray tracing rendering technique. The first extension implements an area-sampling solution to the aliasing problem inherent in ray tracing, without requiring a special model or complex object intersection procedures. The second extension, which is similar in form to the first, incorporates caustics, the interplay of light between objects.
On the properties of temporal processing for speech in adverse environments

In this paper we report on the results that we have obtained in the application of temporal processing to speech signals. We describe what are the properties that make temporal processing an interesting and useful technique to alleviate the harmful effects that environmental factors have on speech. Though temporal processing has been used in the past, its analysis and properties have not been studied in detail. We summarize some results that we obtained in a detailed analysis, and describe a data-driven design technique to design the processing. We demonstrate a speech enhancement system which illustrates some properties, advantages, and short-comings of the technique.
Bidirectional convergence: A cognitive approach to generalisation

We present a cognitive approach to generalisation, Bidirectional Convergence. This is the implementation of a cognitive process we call concept crystallisation, whereby a concept is formed gradually from initially many possibilities which converge to a single possibility under the weight of a series of learning instances shown over a period of time. Bidirectional Convergence (BDC) is a form of concept crystallisation that represents the alternative possible concepts through. Boundary versions of the concept during learning. BDC is an abstraction of Mitchell's symbolic concept learning technique (1982). We describe how BDC is evolved from Mitchell's technique into a form suitable for incorporation into neural networks, BDC is shown to provide a best-fit to given problems. <<ETX>>
Extracting and Visualizing Dispute comments and Relations on Internet Forum Site

Recently, many users discuss and argue with others using replying comments. This implies that a series of comments can be a new source of information since various opinions can be appeared in the dispute. It is important to understand the implicit dispute structure immanent in the comment set. In this paper, we examine the characteristics of disputes using replying comments in the Internet forum sites using a set of test articles with the comments collected from SketicalLeft and Agora, which are famous Internet forum sites in Korea. And we propose a new method for detecting and visualizing the dispute sections and relations from a large set of replying comments. To show the performance of our method, we measured precision, recall, and F-measure. According to the experimental results, the F-measures of the detection of the comments in dispute are about 0.84 (SketpcialLeft) and 0.83 (Agora); those of the detection of the commenter pairs in dispute are 0.75 (SketpcialLeft) and 0.82 (Agora), respectively. Since our method exploits the temporal order of commenters to detect the disputes, it is not dependent on the host language nor on the typos in comments. Also, our method can help the readers to grasp the structure of controversy hidden in the comment set through the visualized view.
A Fast Radix-4 Algorithm and Architecture for DHT

The radix-4 decimation-in-time fast Hartley transform and algorithm for DHT was introduced by Bracewell. A set of fast algorithms were further developed by Sorenson et al. In this paper, a fast radix-4 decimation-in-time algorithm that requires less number of multiplications and additions is proposed. It utilizes four different structures in the signal flow diagram. It exhibits a recursive pattern and is modular. The operational counts for the proposed algorithm are determined and verified by implementing the program in C. An analog architecture to implement the algorithm is proposed. The validity of the same is tested by simulating it with the help of the Orcad PSpice.
Literature-Based Instruction: Reshaping the Curriculum.

could not form ponytails, could also exist in literature. ” all English language arts curriculum. is a long (Eds.), Literature-based instruction: Reshaping. This session emphasizes process-based, traitspecific instruction (within the By exploring specific examples in reading (literature and informational text), The new standards and next generation of assessments are reshaping writing instruction, particularly as they stress the importance of writing across all curriculum.