Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent Search Assistant: The MetaOn Approach

In this paper we present an overview of the MetaOn system. The core target of MetaOn is to construct and integrate semantically rich metadata extracted from documents, images and linguistic resources, to facilitate intelligent search and analysis. The MetaOn framework involves ontology-based information extraction and data mining, semiautomatic construction of domain specific ontologies, content-based image indexing and retrieval, and metadata management. The Hellenic history has been chosen as a challenging application case study.
Developing virtual programming laboratories to inform the pedagogy of programming

Traditional lectures are considered inadequate as a sole means of teaching computer programming, and are most commonly combined with practical workshops designed to encourage students to learn by practical experimentation. Delivering these can be difficult when faced with large cohort sizes and flexible modes of study, with deleterious effects on the crucial “learning loop” that exists between student and tutor in an ideal workshop session. NoobLab is an online environment for the delivery of computer programming workshops. The environment provides a seamless, integrated an analogue of the framing lectures, the practical workshop environment, as well as delivering the feedback component of the learning loop. The software is “aware” of a workshop’s learning objectives, providing feedback both on-demand and based on “observation” of the student’s activities. Additionally, by controlling the environment where students engage in practical tasks, students’ progress and the patterns they generate as they solve a problem can be monitored. These patterns can be correlated with other metrics and provide empirical data for investigating pedagogic issues around the teaching and learning of programming.
Automated Text Classification Using Library Classification Schemes : Trends, Issues, and Challenges

The proliferation of digital resources and their integration into a traditional library setting has created a pressing need for an automated tool that organizes textual information based on library classification schemes. Automated text classification is a research field of developing tools, methods, and models to automate text classification. This article describes the current popular approach for text classification and major text classification projects and applications that are based on library classification schemes. Related issues and challenges are discussed, and a number of considerations for the challenges are examined.
The Gemini Data Handling System

The Data Handling System for the Gemini 8m telescopes provides the data handling infrastructure for the Observatory Control System and the instrument control systems. Its primary functions, which are all related to processing and analyzing instrument data, are: 1) to provide an interface between the OCS, instruments and the quick-look subsystem; 2) to provide a common, eecient data buuering, archival storage, and retrieval subsystem that is shared by all instruments and the quick-look subsystem; 3) to provide an interface to the data processing system for synchronous and on-line data processing.
High radix booth multipliers using reduced area adder trees

The reduced area multiplier, the Wallace multiplier, and the Dadda (1965) multiplier each offer fast multiplication of signed binary numbers with the use of a large adder tree and a carry lookahead adder. However, their complexity makes them undesirable for some applications. A Booth (1951) multiplier, on the other hand, offers simplicity and flexibility, by both breaking a multiplication up into pieces, and by allowing the size of the pieces to be chosen. Unfortunately, Booth multipliers become difficult to design for higher radices. The use of a fast adder tree, such as that found in a reduced area multiplier, permits straightforward design of very high radix Booth multipliers. Increasing the radix of a Booth multiplier in this manner results in large increases in speed with reasonable hardware cost. <<ETX>>
Improving Search Engine Results by Query Extension and Categorization

Since its emergence, the Internet has changed the way in which information is distributed and it has strongly influenced how people communicate. Nowadays, Web search engines are widely used to locate information on the Web, and online social networks have become pervasive platforms of communication. Retrieving relevant Web pages in response to a query is not an easy task for Web search engines due to the enormous corpus of data that the Web stores and the inherent ambiguity of search queries. We present two approaches to improve the effectiveness of Web search engines. The first approach allows us to retrieve more Web pages relevant to a user’s query by extending the query to include synonyms and other variations. The second, gives us the ability to retrieve Web pages that more precisely reflect the user’s intentions by filtering out those pages which are not related to the user-specified interests. Discovering communities in online social networks (OSNs) has attracted much attention in recent years. We introduce the concept of subject-driven communities and propose to discover such communities by modeling a community using a posting/commenting interaction graph which is relevant to a given subject of interest, and then applying link analysis on the interaction graph to locate the core members of a community.
WinBUGS User Manual: Version 1.4

A travelling block system that can be changed quickly from a four support line system to a two support line system, which comprises a travelling block having two sheaves, and a single sheave block with hook, attached to the crown of a boom. The two sheave travelling blocks comprise a frame with two parallel spaced plates serving as inner sheave plates, two sheaves on the outside of the inner sheave plates, and two outer sheave plates. The sheave plates are firmly bolted to the frame, and appropriate sheave pins are supplied through each pair of outer and inner sheave plates. Two guard strips are provided which are removably attached around the periphery of the outer and inner sheave plates so as to completely contain the cable around the sheave on sides and bottom of the sheaves.
Semantic networks and cognitive dynamics

Following a classical conception of Artificial Intelligence (one that aims a definition of cognitive mechanisms and their implementation in computers), this thesis explores the problem of knowledge organization. In particular, it draws attention to the linguistic and semantic memory, trying to find out how semantic relations emerge between words. To achieve these objectives, we rely on three main sources: use of empirical data from psycholinguistics and neuropsychology; the use of complex ? [+]systems (statistical physics) methodology to build and simulate dynamic models; and finally the utilization of technologies at our disposal both for obtaining new data (Internet) as well as sufficient storage capacity and processing speed for massive data manipulation. From this point of view, rooted in Cognitive Science, many applications may arise, some of them strongly linked to current problems in the field of Computer Science, such as unsupervised information extraction, enrichment of databases and language electronic resources (Wikipedia, WordNet, etc.). and improve consultation systems (query-based systems). In Chapter 2 the methodologies that have helped build the rest of the work are established. Chapter 3 is devoted to clarify (i) the kind of data that have been used in the large-scale study of language and cognitive phenomena around it, and (ii) review some of the major contributions to the date about language and cognition. In Chapter 4 the Random Inheritance Model is introduced, which represents an attempt to understand how does semantic similarity between words and semantic categories emerge. Results are compared with empirical data obtained from responses with human subjects. In Chapter 5 we present a model of semantic degradation which emulates neurodegenerative processes, and predicts experimental observations from Alzheimer's Disease patients in the field of neuropsychology. In the study of such degenerative processes different multidisciplinary interests converge, ranging from cognition itself to percolation theory in statistical physics. Chapter 6 is finally devoted to a global reflection of this memory. [-]
Predict-observe-explain tasks using simulation to assist students’ learning in basic electric circuits

The goal of this work-in-progress is to investigate how simulations can assist students grasping concepts understanding in Basic Electric Circuit course.This study involved first-year Electrical Engineering students in Malaysia. Students were administered a pretest prior to the intervention. During intervention, each student was assigned to one computer station with NI Multisim installed. The incorporation of predict-observe-explain (POE) tasks during intervention was to monitor how students’ involvement in learning while doing the simulation. Students’ conversation during the POE task were recorded and analyzed qualitatively. Students were administered again on posttest at the end of the semester. Both pretest and posttest data were analyzed quantitatively. Findings show that students’ performance on concept test improved from pretest to posttest. Their conversation with peers during the POE tasks does help them verbalize their understanding and assist them to have in-depth grasped of the concept.Since learning Basic Electric Circuit is very abstract, therefore assisting students’ to learn through simulation does help them to visualize the working of the circuit. By being able to verbalize shows that students have good grasp on the concept taught.Students having difficulty in understanding basic concept of electric circuit is a global issue. Finding ways to assist them grasping the concept is very much needed. Simulation can assist them to be able to visualize the working of the circuits. Furthermore, by incorporating POE tasks can assist them to verbalize their concept understanding. This finding will be useful in developing new teaching and learning activities or adapting available ones to assist students grasping conceptual understanding of any courses.
Introduction to data communications

New updated! The latest book from a very famous author finally comes out. Book of introduction to data communications, as an amazing reference becomes what you need to get. What's for is this book? Are you still thinking for what the book is? Well, this is what you probably will get. You should have made proper choices for your better life. Book, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with.
Une stratégie de recherche constructiviste appliquée aux services culturels: l'exemple du Musée olympique, de son concept et de ses profils types de visiteurs

Le Musée olympique a été conçu par Juan Antonio Samaranch pour être une vitrine traditionnelle de l'olympisme. Mais le Musée olympique est également un « objet culturel » défini par les visiteurs en fonction de leur histoire et de leur expérience. Une étude qualitative, inscrite dans une perspective constructiviste, a été réalisée. L'analyse d'entretiens en profondeur auprès de visiteurs a d'abord permis d'induire un modèle du service « Musée olympique » articulé autour de trois dimensions que sont « un espace à s'approprier », « une mémoire réappropriée » et « une production expérientielle ». Une seconde analyse compréhensive a permis d'induire six représentations symboliques propres à des profils spécifiques de visiteurs. La reconnaissance de ces profils symboliques conduit à envisager une nouvelle approche du marketing des services culturels.
cytonGrasp: Cyton Alpha Controller via GraspIt! Simulation

This thesis addresses an expansion of the control programs for the Cyton Alpha 7D 1G arm. The original control system made use of configurable software, which exploited the arm’s seven degrees of freedom and kinematic redundancy to control the arm based on desired behaviors that were configured off-line. The inclusions of the GraspIt! grasp planning simulator and toolkit enable the Cyton Alpha to be used in more proactive on-line grasping problems as well as presenting many additional tools for on-line learning applications. In short, GraspIt! expands what is possible with the Cyton Alpha to include many machine learning tools and opportunities for future research. Noteworthy features of GraspIt! : • A 3D user interface allowing the user to see and interact with virtual objects, obstacles, and robots, in addition to a 3D representation of the Cyton Alpha • A collision detection and contact determination system within simulation • On-line grasp analysis routines • Visualization methods for determining the weak points within a grasp, as well as creating projections of grasp quality and the ability to resist dynamic forces. • Computation of numerical grasp quality metrics and visualization methods for proposed grasps
Business Process Modeling and Workflow Automation

Process modeling and workflow applications have become more an more important during last decade. The main reason for this increased interest is the need to provide computer aided system integration of the enterprise based on its business processes. This need requires a technology that enables to integrate modeling, simulation and enactment of processes into one single package. Predecessors of this paper introduced method BPM (Business Process Modeling) and its implementation in a software system BP Studio (Business Process Studio). This paper describes how this system (primarily focused on process analysis, simulation, and control) can be extended into real workflow management system. It means, how the automated aspects of business process can be controlled.
Measuring with ultra-low power Wi-Fi sensor tags in LabVIEW

G2 Microsystems of Campbell, California, USA, released in 2007 the first ever ultra-low power Wi-Fi System on a Chip (SoC) named G2C501. This SoC includes a 32-bit CPU, crypto accelerator, real-time clock and a versatile sensor interface that can serve as a standalone host subsystem. The G2C501 goes beyond today's basic radio frequency identification (RFID) technology to offer intelligent tracking and sensor capabilities that leverage IEEE 802.11 (Wi-Fi) networks. Due to its support for multiple location technologies, small form factor and ultra-low power consumption, the G2C502 SoC can be integrated into Wi-Fi sensor tags that lower cost of ownership and meet the needs of a variety of industries including consumer electronics, pharmaceuticals, chemical manufacturing, cold chain and more. A battery powered, small size ultra low-power Wi-Fi wireless measurement node name IP Sensor has been built using the G2C501 SoC. Sensors for measurement of temperature, humidity, light, and vibration or motion are currently mounted on the IP Sensor board. The node is able to read a sensor and send data to the network by using an IP-based application protocol such as UDP. This paper describes the new IP Sensor device and gives a programming methodology using LabVIEW.
The approximation modality in models of higher-order types

In this thesis we advance the state of the art in intensional type systems for low-level code. The need for powerful, carefully designed type-systems for low-level code is well-documented. We argue for an intensional , or semantic, such system, one which is distinguished by the use of a modality of type approximation to solve the problems of self-reference that arise in the models of recursive types, impredicative type quantification, and unrestricted mutable references.
Using twitter as a source of information for time series prediction

This project aims to assess whether tapping into the wealth of information that Twitter has to offer can positively affect the prediction of time series. We intend to accomplish our goal by means of applying multiple machine learning predictive models and text mining techniques, all organized within a framework that should be general enough to allow the realization of any similar task.
Hardopdenkprotocollen en gebruikersonderzoek: Volledigheid en reactiviteit van de synchrone hardopdenkmethode

De hardopdenkmethode heeft zich ontwikkeld tot een gangbare onderzoeksmethode voor uiteenlopend lees- en schrijfonderzoek. In dit artikel staat de validiteit van de hardopdenkmethode als pretestinstrument centraal. Discussies over de validiteit van hardopdenkprotocollen betreffen de reactiviteit van de methode en de volledigheid van de verbalisaties. De vraag wordt beantwoord in hoeverre de aard van het testobject van invloed is op de reactiviteit van de methode en de volledigheid van de protocollen. Daartoe zijn synchrone en retrospectieve hardopdenkprotocollen vergeleken voor twee typen internet-applicaties: een online bibliotheekcatalogus en een gemeentelijke website. In beide gevallen blijken synchrone hardopdenkprotocollen minder geverbaliseerde problemen te bevatten dan retrospectieve protocollen. De reactiviteit van de methode blijkt samen te hangen met het testobject: in de bibliotheekcatalogus leidde de opdracht om synchroon hardop te denken tot meer observeerbare fouten in de taakuitvoering, op de gemeentelijke website niet. Deze verschillen kunnen worden herleid tot verschillen in taken tussen de beide testobjecten.
Construction of Driving-Simulation View by Synthesizing Real Video Images

We propose an efficient and effective view generation system for more photo-realistic driving simulation by using image-based rendering for landscape scene, in contrast to conventional product represented by full geometry-based rendering with poor reality and huge cost for model construction. As for the image dataset, we capture omni-directional video image through the model course, a public road, with multiple video cameras on our data acquisition vehicle. The capturing run is carried out only once. We assume two flat walls along both side of the road, and the the view for the landscape scene is realized as dynamic textures on the wall by synthesizing captured images. On-street scene is still renderd by geometry base for versatility such as overlaying other vehicles. The system works as a module of “Mixed-Reality Traffic Experiment Space”, an enhanced driving and traffic simulation system developed in the collaborative research project “Sustainable ITS”.
Spatial analysis of multiparty speech scenes

This thesis conducts a series of investigations into the estimation of speaker location cues from multi-party meeting speech recordings. As participants in meetings generally remain stationary, speaker location information is fundamentally useful for higher-level tasks such as steering a microphone array beamformer towards an active speaker, or segmenting meeting speech into each speaker’s period of participation for ‘browsing’ of recordings and speech recognition. Whilst existing speaker location cues are typically Time-Delay Estimations (TDE) estimated from microphone array signals, this thesis proposes the use of level and time/phase-based spatial cues, motivated by the spatial cues utilised in recently standardised Spatial Audio Coding (SAC) paradigms. Implemented using leading and standardised SAC techniques, experiments compared the proposed SAC spatial cues with TDE and found the combination of TDE with SAC level-based cues to be the most accurate for speech segmentation. As meetings recordings predominantly contain speech content, front-end LinearPrediction (LP) analysis using theoretical and standardised speech coders is then investigated with single and multichannel LP models. Whilst existing approaches estimate TDE from the Hilbert envelope of single-channel LP speech residuals, this thesis proposes the use of intra and interchannel multichannel prediction and found spatial cues estimated from the Hilbert envelope of LP residuals to be the most robust against reverberation. xv
Event Structure of Resultatives in ASL

Kentner, Ashley M.A., Purdue University, May 2014. Event Structure of Resultatives in ASL. Major Professor: Ronnie B. Wilbur. The relationship between the duration and telicity of the causing predicate and the gradability and standard of comparison of the resultant predicate in resultative constructions in American Sign Language (ASL) is investigated. Two homomorphic accounts of resultative constructions are considered, the feature-based approach of Beavers (2008), and the compositional approach of Ramchand (2008). The analysis utilizes morpho-phonological and semantics interface properties in ASL in order to discriminate between the two approaches. These properties are expressed by the Visibility Hypothesis (VH) in Wilbur, Malaia, and Shay (2012), which posits that the ends of semantic scales are phonologically marked in ASL in particular, but also in sign languages more generally. It is concluded that the compositional approach of Ramchand (2008) better accounts for the data.
Todas as palavras da sentença como métrica para um sumarizador automático

The purpose of this work is to present an automatic summarizer that uses as a metric the number of words into a sentence to define the text author's pragmatic profile. Using the number of words as a metric, the original text is classified according to its temporal measures and textual composition, which is based on its formality. Also, these features are parameters to the summary generation that indicate the compression level. This work uses traditional methodologies of automatic summarization and compares these results to results obtained with our proposal.
Dağıtımcı Liderlik Ölçeği’nin Türkçeye Uyarlanması, Dil Geçerliği ve Ön Psikometrik İncelenmesi

Bu calismanin amaci, calisanlarin yoneticilerinin dagitimci liderlik algilarini olcen Dagitimci Liderlik Olcegi’ni (Davis, 2009) Turk diline uyarlanarak, Turkce olcegin gecerlik ve guvenirliginin sinanmasidir. 268 katilimci uzerinde gerceklestirilen calismada oncelikle, olcek maddelerinin Turkceye cevrilerek ceviri gecerligi incelenmis; ardindan dil ve anlam gecerligi, icerik gecerliligi, yapi gecerligi, test-yeniden-test guvenirligi ve ic tutarliklari arastirilmistir. Elde edilen bulgular bize olcegin guvenilir oldugunu dusundurmektedir. Ancak gerceklestirilen DFA sonucunda elde edilen degerler Turkce formun gecerliligini problemli kilmaktadir. Sonuc olarak, DLO Turkce formunun, her ne kadar yeterli guvenirlik katsayilari saglanmis olsa da, olcegin orijinal 7 boyutlu formuna yonelik yeterli gecerlilik degerlerine sahip olmamasi sebebiyle, tek boyutlu olarak kullanilmasi uygun olarak kabul edilebilir.
Facilitating biomedical systematic reviews using ranked text retrieval and classification

Searching and selecting articles to be included in systematic reviews is a real challenge for healthcare agencies responsible for publishing these reviews. The current practice of manually reviewing all papers returned by complex hand-crafted boolean queries is human labour-intensive and difficult to maintain. We demonstrate a two-stage searching system that takes advantage of ranked queries and support-vector machine text classification to assist in the retrieval of relevant articles, and to restrict results to higher-quality documents. Our proposed approach shows significant work saved in the systematic review process over a baseline of a keyword-based retrieval system.