Miracle-dz/UniFAR-FTUs huggingface dataset:
The More You Look the More You Get: Intention-Based Interface Using Gaze-Tracking.

Only a decade ago eyeand gaze-tracking technologies using cumbersome and expensive equipment were confined to the university research labs. However, rapid technological advancements (increased processor speed, advanced digital video processing) and mass production have both lowered the cost and dramatically increased the efficacy of eyeand gaze-tracking equipment. This opens up a whole new area of interaction mechanisms with museum content. In this paper I will describe a conceptual framework for an interface, designed for use in museums and galleries, which is based on non-invasive tracking of a viewer's gaze direction. Following the simple premise that prolonged visual fixation is an indication of viewer's interest, I dubbed this approach intention-based interface.
Airborne Network Data Availability Using Peer to Peer Database Replication on a Distributed Hash Table

Abstract : The concept of distributing one complex task to several smaller, simpler Unmanned Aerial Vehicles (UAVs) as opposed to one complex UAV is the way of the future for a vast number of surveillance and data collection tasks. One objective for this type of application is to be able to maintain an operational picture of the overall environment. Due to high bandwidth costs, centralizing all data may not be possible, necessitating a distributed storage system such as mobile Distributed Hash Table (DHT). A diffculty with this maintenance is that for an Airborne Network (AN), nodes are vehicles and travel at high rates of speed. Since the nodes travel at high speeds they may be out of contact with other nodes and their data becomes unavailable. To address this the DHT must include a data replication strategy to ensure data availability. This research investigates the percentage of data available throughout the network by balancing data replication and network bandwidth. The DHT used is Pastry with data replication using Beehive, running over an 802.11 wireless environment, simulated in Network Simulator 3. Results show that high levels of replication perform well until nodes are too tightly packed inside a given area which results in too much contention for limited bandwidth.
ROTEL: LINGUISTIC WEB SERVICES

According to Tim Berners-Lee, a web service provides for “program integration across application and organizational boundaries” [2]. The integration is achieved via a standardized RPC call interface implemented with SOAP which is essentially built over XML. The great advantage of the web service concept is that the machine hosting the actual service need not be the same with the machine of the user of the service. This is a concept borrowed from RPC and CORBA and extended such that the message transport can be implemented according to any Internet protocol such as HTTP or SMTP. One of the protocols for the message encoding is SOAP the latest version of which is 1.2. Also, a web service can be formally described using an XML language called WSDL. Together, SOAP and WSDL assure the user that the web service is readily available to use directly in any application (provided that the user knows the URL of the WSDL file describing the web service). Thus, the time spent to collect, adapt and test a standalone application is reduced to a minimum. The present article will describe several linguistic web services for English and Romanian developed during the CEEX ROTEL project, implementing NLP operations such as POS tagging (with its prerequisites sentence and token splitting), lemmatization, chunking, word linking, WordNet lookup, languages identification and diacritics insertion (for Romanian).
Découvrir des sens de mots à partir d’un réseau de cooccurrences lexicales

Les réseaux lexico-sémantiques de type WordNet ont fait l’objet de nombreuses critiques concernant la nature des sens qu’ils distinguent ainsi que la façon dont ils caractérisent ces distinctions de sens. Cet article présente une solution possible à ces limites, solution consistant à définir les sens des mots à partir de leur usage. Plus précisément, il propose de différencier les sens d’un mot à partir d’un réseau de cooccurrences lexicales construit sur la base d’un large corpus. Cette méthode a été testée à la fois pour le français et pour l’anglais et a fait l’objet dans ce dernier cas d’une première évaluation par comparaison avec WordNet.
Die deutsche Version des "Early Trauma Inventory" (ETI) Erste psychometrische Charakterisierung eines Interviews zur Erfassung traumatischer Lebensereignisse in der Kindheit und Jugend

Zusammenfassung. Fur den deutschsprachigen Raum stehen derzeit kaum evaluierte Instrumente zur Erfassung traumatischer Ereignisse in der Kindheit und Jugend zur Verfugung. Wahrend das strukturierte klinische Interview fur DSM-IV das Vorliegen einer Traumatisierung in der Kindheit und Jugend mittels eines binaren Items erfasst, wird mit dem „Early Trauma Inventory” (ETI; Bremner, Vermetten & Mazure, 2000) ein breites Spektrum traumatischer Ereignisse erhoben. Beim ETI handelt es sich um ein halbstandardisiertes klinisches Interview mit den Skalen „Emotionale Erfahrungen”, „Erzieherische/Korperliche Bestrafung”, „Sexuelle Erlebnisse” und „Generelle Traumata”. An einer Stichprobe von 230 Probanden wurden die Reliabilitat und Validitat der deutschen Ubersetzung uberpruft. Es konnten gute Reliabilitatskoeffizienten gefunden werden sowie hohe bis moderate Korrelationen zwischen dem ETI und einem Fragebogen zur Erfassung traumatischer Erfahrungen in der Kindheit (CTQ). Niedrigere Korrelationskoeffizienten fanden.
Iterative Methods in Scientific Computing

Contents: Basic Theory: Inner-outer iterations. - Wavelets. - Multilevel methods. - Finite element methods. - Preconditioning. - Lanczos algorithm, and monotone methods. - Parallel Algorithms: Parallel computer architectures and algorithms. - Parallel iterative methods. - Domain decomposition methods. - Applications: Computational fluid dynamics - convection-diffusion equations and Stokes solvers. - Signal and imafe processing. - Queueing networks.
Maintaining Optimal Challenge in Computer Games through Real-Time Physiological Feedback

Computer based games are steadily becoming a powerful tool for entertainment and education. When the aim of the game is to keep the player maximally involved, it would be useful to continuously alter the game difficulty level in order to maintain a high level of challenge. This paper presents a framework for providing real-time feedback regarding the affective state (anxiety level) of the player to modify game difficulty. Peripheral physiological signals were measured through wearable biofeedback sensors and an anxiety-based difficulty altering methodology for a Pong game was designed and implemented. The results from affect-elicitation tasks for human participants showed that it is possible to detect affective states of anxiety, engagement, boredom and frustration through physiological sensing in real-time. Performance feedback-based and anxiety-feedback based Pong experiments were then conducted to demonstrate that the latter resulted in higher performance improvement and greater perceived challenge by the participants under lower anxiety.
High performance reconfigurable architectures for biological sequence alignment

This paper presents the design and implementation of the computationally intensive Smith Waterman and Needleman-Wunsch algorithms on the Virtex-5 (XC5VLX110) FPGA (Field Programmable Gate Array). A parameterisable architecture of the processing element (PE) for the pairwise biological sequence analysis is presented. We evaluate our core’s performance in terms of speed up performance and normalised cell update per second (CUPS) against various computing platforms including our previous Graphics Processor Unit (GPU) and other FPGA implementations. Our efficient hardware design produces the highest normalised throughput ever reported in literature.
NEWSUMT: A FORTRAN program for inequality constrained function minimization, users guide

A computer program written in FORTRAN subroutine form for the solution of linear and nonlinear constrained and unconstrained function minimization problems is presented. The algorithm is the sequence of unconstrained minimizations using the Newton's method for unconstrained function minimizations. The use of NEWSUMT and the definition of all parameters are described.
Two-Dimensional Soft Output Viterbi Algorithm with a Variable Reliability Factor for Holographic Data Storage

In a practical holographic data storage system, the reconstruction process for a data page should account for the processing time as well as the bit error rate (BER) performance. To improve both aspects, we introduce two-dimensional (2D) partial response maximum likelihood composed of a 2D partial response (PR) target including diagonal elements and a 2D soft output Viterbi algorithm (SOVA) with a variable reliability factor. The 2D SOVA performs two one-dimensional (1D) SOVAs in structural accordance with the 2D PR target where extrinsic information uses the expected value calculated on a synchronization pattern. Finally, the 2D SOVA exports a weighted average using the reliability factor that is updated similarly as the optimization scheme for each page. The simulation results show that the proposed method has superior BER performance, despite using only two 1D SOVAs as compared with the modified 2D SOVA composed of four 1D SOVAs.
On the bottle: situating place-based discourses in global production networks – a visual and textual analysis of craft beer labels

Place remains a critical concept within globalization processes, often communicated via packaging, design, and branding. This article uses grounded theory methodology to develop a theory of Place-Based Discourses (PBDs) based on a dataset of beer labels collected, coded, memoed and analyzed between 2011–2019. I argue that the beer label incorporates all three elements and presents a primary site for studying value addition, providing a ready space for producers to introduce national motifs, such as flags and tartans in the case of Scotch Ales, or depictions of local working landscapes to connote ecological, social, and economic connections to place. Drawing on extant literature on conceptualizations of place within the Global Production Networks perspective (GPNs), this paper contributes to debates about food and drink branding and globalization by generating new ways of examining the sites and processes of representation of place within cultural-material hybrids (such as beer labels) imbricated through globalization mechanisms. I interpret three constituent themes which emerged during the theorization of PBDs – historical imagination and local identity, thin place and thick networks, and performative globalizations – and I argue that this approach provides an important contribution to the geographies of globalization, linking cultural analysis of branding and place to the GPN tradition. Future studies can apply this knowledge to move towards an understanding of other place-based sites and processes within GPNs, with specific research attention directed towards how PBDs can “reveal and rebalance” power structures vis-à-vis the place dimensions
Dynamic control of the permanent magnet assisted reluctance synchronous machine with constant current angle

A digital signal processor-based control system for the permanent magnet-assisted reluctance synchronous machine, with the emphasis on dynamic performance, is proposed. A classical design approach is used to design the current and speed controllers for the machine. The stator current of the machine is controlled in such a way that the current angle in the dq synchronous reference frame is constant. The load–torque is estimated using a state space observer and compensation current based on the estimated load is used to improve the dynamic performance of the drive. The control system design is machine specific as it relies on data from finite-element analysis. Simulated and measured results on a 110-kW power level show that the resulting control system is stable and robust with good dynamic performance.
Urban exploration, cidade e o encanto do abandono

A pesquisa tem como foco analisar um movimento que realiza expedicoes urbanas. Considerada um hobby, essas expedicoes designam uma pratica contemporânea denominada urban exploration, atividade que envolve percursos atraves de lugares abandonados, de subterrâneos, ate os pontos mais altos da cidade. A pratica revela um modo de ressignificacao do individuo em sua relacao com a cidade, no intuito de observa-la e registra-la por diversos ângulos. O objetivo da pesquisa consiste em demonstrar uma relacao do urban exploration com a teoria da arte, literatura e filosofia. Uma relacao do sujeito com a cidade, abordando o caminhar, os monumentos, a relacao afetiva com a metropole atraves da imaginacao, entre outras questoes que serao tratadas para compreender o percurso que pode ser pensado pela heranca do flâneur, pelas caminhadas surrealistas, pela compreensao do projeto das Passagens, de Walter Benjamin, e com a postura revolucionaria e critica dos Situacionistas, com Guy Debord. A dissertacao investiga, primeiramente, o estudo sobre o movimento urban exploration analisando sua historia, a formacao dos grupos, as caracteristicas da pratica, as publicacoes textuais e as producoes esteticas de suas fotografias e videos. Em um segundo momento, sao apresentados os antecedentes, e atraves da literatura, filosofia e teoria da arte, a relacao do sujeito com a cidade e as transformacoes com o processo de modernizacao serao enfocados, visando abordar a importância de pensar o valor das ruinas, da experiencia do sujeito com a cidade e do valor afetivo da memoria. Por ultimo, analisam-se as ruinas, tendo em vista a beleza e o encanto que existe no abandono. A intencao e mostrar o encanto, o que move as pessoas hoje a se interessar pelas ruinas para compreender 12 o fenomeno contemporâneo do urban exploration. Frente a diversidade de praticas voltadas a participacao do individuo no espaco urbano, esta pesquisa destina seu olhar sobre as expedicoes fotograficas da arquitetura urbana em ruinas. O livro Nadja, de Andre Breton, fundamenta a pesquisa em dois pontos: primeiro, o caminho errante do personagem que deambula pelas ruas de Paris; segundo, a expressao de Breton que diz: a beleza sera convulsiva, ou nao sera . A afirmacao de Breton diz respeito a uma beleza que e dinâmica, uma beleza que vem da loucura, do instinto, do abandono, contraria a ideia de beleza harmonica e racional. Essa abordagem talvez permita compreender o encanto do abandono no urban exploration.
Italy in the space (of products)

We discuss the international specialization of Italy as a determinant of its rate of economic growth, documenting an incomplete economic evolution: Italy is still a follower economy in some aspects while it is being followed in some others. We show that the productivity level associated to the export bundle increased until 2000, but then slowed down, and finally started decreasing after 2005. In parallel, Italy first improved its position in the international ``product space'' in the long run, but without any sensible evolution after 1990, and the country is absent from the most sophisticated section of the map. Results are also confirmed when comparing Italy to a panel of other countries.
Automatic text summarization in digital libraries

A digital library is a collection of services and information objects for storing, accessing, and retrieving digital objects. Automatic text summarization presents salient information in a condensed form suitable for user needs. This thesis amalgamates digital libraries and automatic text summarization by extending the Greenstone Digital Library software suite to include the University of Lethbridge Summarizer. The tool generates summaries, nouns, and noun phrases for use as metadata for searching and browsing digital collections. Digital collections of newspapers, PDFs, and eBooks were created with summary metadata. PDF documents were processed the fastest at 1.8 MB/hr, followed by the newspapers at 1.3 MB/hr, with eBooks being the slowest at 0.9 MB/hr. Qualitative analysis on four genres: newspaper, M.Sc. thesis, novel, and poetry, revealed narrative newspapers were most suitable for automatically generated summarization. The other genres suffered from incoherence and information loss. Overall, summaries for digital collections are suitable when used with newspaper documents and unsuitable for other genres.
Short text model based on Strong feature thesaurus

Data Sparseness, the evident characteristic of short text, is caused by the diversity of language expression and the short text length. The previous text models represented by Bag of Word (BOW) only considers the statistical feature of words, and thus always underperformed when it comes to short texts. To tackle this problem, we introduced a new text model by combining the statistical method and semantic estimation. Specifically, we managed to obtain the “Strong Feature Thesaurus” through mining process with Latent Dirichlet allocation (LDA) model, and then the semantic information is incorporated in the BOW by weighting those strong feature terms. To assess the performance of this model, we conduct two experiments of the clustering of short text corpuses. The results have shown that our model outperform the prevailing text models such as BOW.
Exploiting structural meeting-specific features for topic segmentation

In this article we address the task of automatic text structuring into linear and non-overlapping thematic episodes. Our investigation reports on the use of various lexical, acoustic and syntactic features, and makes a comparison of how these features influence performance of automatic topic segmentation. Using datasets containing multi-party meeting transcriptions, we base our experiments on a proven state-of-the-art approach using support vector classification.
Extending CDIF to support Enterprise Modeling

In recent years organizations developing information systems have started to demand that there should be an explicit connection between the rationale of the system developed and the system itself. In the "From Fuzzy to Formal" project an attempt to develop a methodology supporting this was made. Within the project a method called Enterprise Modeling was developed, aiming at creating this connection. This method contains five different sub-models. The sub-models are connected to each other by inter-model links. The models developed using EM are of high complexity. Therefore tool and repository support should be provided. To be flexible and extendible, such a tool set should be based upon a standardized meta-model. CDIF is an example of such a standard. In this dissertation we develop a meta-model capable of capturing the information that is created using the Enterprise Modeling technique. We use the extensibility mechanism that is provided with the CDIF standard to extend the existing CDIF Integrated meta-model to support the models used in this work. We also develop a procedure supporting the mapping between the representations. Finally we discuss the functionality of a tool capable of supporting the work with the models.
Dynamic Load Balancing of Virtual Machines Hosted on Xen

DYNAMIC LOAD BALANCING OF VIRTUAL MACHINES HOSTED ON XEN Terry C. Wilcox Jr. Department of Computer Science Master of Science Currently systems of virtual machines are load balanced statically which can create load imbalances for systems where the load changes dynamically over time. For throughput and response time of a system to be maximized it is necessary for load to be evenly distributed among each part of the system. We implement a prototype policy engine for the Xen virtual machine monitor which can dynamically load balance virtual machines. We compare the throughput and response time of our system using the cpu2000 and the WEB2005 benchmarks from SPEC. Under the loads we tested, dynamic load balancing had 5%-8% higher throughput than static load balancing.
Multiprocessor performance debugging and memory bottlenecks

Driven by the computational demands of scientists and engineers, computer architects are building increasingly complex multiprocessor systems. However, while the peak Gigaflop ratings of such systems are often impressive, the actual performance of initial implementations of applications can be disappointing. To make the task of performance debugging manageable, tools are needed that can analyze program behavior and report sources of performance loss. This dissertation describes techniques for building such tools for shared memory multiprocessors. Previous efforts to build performance debugging systems for shared memory multiprocessors had two shortcomings. First, though memory hierarchy performance is often critical to whole program performance, most tools cannot distinguish the time the CPU is computing from the time when it is stalled waiting on the memory hierarchy. Second, many tools significantly perturb a program's execution adding 50% or more overhead, making it difficult to measure the behavior of the original uninstrumented code. This dissertation addresses both of these problems. It describes a software instrumentation system, Mtool, that typically increases program execution time by less than 10% while collecting a detailed profile of where processors are doing work, waiting for work, or stalled waiting on the memory hierarchy. A window-based user interface allows the user to interpret the profile, viewing compute, memory, and synchronization bottlenecks at increasing levels of detail, from a whole program level down to the level of individual procedures, loops, and synchronization objects. In addition to introducing Mtool, we present extensive data on the overhead of collecting basic block count profiles, provide a characterization of the memory overheads in the SPEC benchmark suite, and offer several case studies to illustrate how the features of Mtool have helped users to improve multiprocessor program performance.
FIGURATIVE LANGUAGE IN SONG LYRICS OF LINKIN PARK

The objective of this study is to identify figurative language in song lyrics of Linkin Park. This study used descriptive method to analyze data. The research data collected from the Linkin Park album entitled “One More Light”. This research focus on Nobody Can Save Me, Sorry for now, Talking To My Self, Heavy, and One More Light. The result of this study is indicated that: 1. There are 7 types of figurative language Linkin Park’s song’s Lyrics; they are personification, hyperbole, allegory, repetition, simile, metaphor, and synecdoche. In Nobody Can Save Me song, there are 3 figurative language types; personification, hyperbole, and allegory. In Talking To Myself song there are 2 figurative language types, such as repetition and simile. In One More Light songs there are 4 figurative language types; personification, hyperbole, repetition, and parallelism. In Heavy song there are 3 figurative language types, such as personification, metaphor, and hyperbole. In Sorry For Now song there are 3 figurative language types; hyperbole, repetition, and synecdoche. Furthermore, the dominant figurative language in song lyrics of linkin park is hyperbole.
Metadata: For Information Management and Retrieval

1. Introduction 2. Describing and expressing metadata 3. Standards and data models 4. Purpose i: Resource description 5. Purpose ii: Information retrieval 6. Purpose iii: Management of information 7. Purpose iv: Rights management, ownership and authenticity 8. Purpose v: Interoperability and e-commerce 9. Managing metadata 10. Looking forward - the future.