Search results for: library user training - Bridge of Knowledge

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Search results for: library user training

Search results for: library user training

  • Teaching High Performance Computing Using BeesyCluster and Relevant Usage Statistics

    Publication

    - Year 2014

    The paper presents motivations and experiences from using the BeesyCluster middleware for teaching high performance computing at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology. Features of BeesyCluster well suited for conducting courses are discussed including: easy-to-use WWW interface for application development and running hiding queuing systems, publishing applications as services...

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  • BeesyCluster as Front-End for High Performance Computing Services

    Publication

    - TASK Quarterly - Year 2015

    The paper presents the BeesyCluster system as a middleware allowing invocation of services on high performance computing resources within the NIWA Centre of Competence project. Access is possible through both WWW and SOAP Web Service interfaces. The former allows non-experienced users to invoke both simple and complex services exposed through easyto-use servlets. The latter is meant for integration of external applications with...

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  • Throughput-Coverage Characteristics for Soft and Partial Frequency Reuse in the LTE Downlink

    Publication

    - Year 2013

    The paper presents results of simulation and evaluation of throughput-coverage characteristics for the OFDMA-based LTE network with Soft Frequency Reuse or Partial Frequency Reuse. Firstly, simulation results of throughput characteristics for a single user connection are presented, which allow the evaluation of the stability and availability of bit rate achieved in different areas of a cell. Secondly, the capacity characteristics...

  • Mobile navigation system for visually impaired users in the urban environment

    This paper describes the prototype version of a mobile application supporting independent movement of theblind. Its objective is to improve the quality of life of visually impaired people, providing them with navigationalassistance in urban areas. The authors present the most important modules of the application. The module forprecise positioning using DGPS data from the ASG-EUPOS network as well as enhancements of positioning...

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  • Ergonomics in Polish outpatient clinics

    Publication

    Outpatient clinics are structures In which ergonomics play a key role. This fact is associated with an often occurring risk of developing hospital-acquired infection. The risk increases with mistakes made in wrong planning the functional and spatial lay-out is subordinated to high utilitarian requirements, including hygienic and sanitary, and technological requirements. A properly planned structure allows to reduce dangers more...

  • Very accurate time propagation of coupled Schrödinger equations for femto- and attosecond physics and chemistry, with C++ source code

    Publication

    In this article, I present a very fast and high-precision (up to 33 decimal places) C++ implementation of the semi-global time propagation algorithm for a system of coupled Schrödinger equations with a time-dependent Hamiltonian. It can be used to describe time-dependent processes in molecular systems after excitation by femto- and attosecond laser pulses. It also works with an arbitrary user supplied Hamiltonian and can be used...

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  • Exploring the Prevalence of Anti-patterns in the Application of Scrum in Software Development Organizations

    Publication

    - Year 2023

    The paper presents a survey-based study that aimed to determine the prevalence of anti-patterns in the Scrum software development methodology. A total of 35 anti-patterns were selected from the literature review, and 42 respondents indicated whether they had encountered each anti-pattern in their organizations. The study found that``Unfinished Tasks'' was the most prevalent anti-pattern, highlighting the importance of proper planning...

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  • The Impact of Ergonomic Guiding Principles on the Formation of Modern Monumental Art

    Commemoration of historic events is now a commonplace phenomenon both in culture and in academic research. The phenomenon is linked to an increase in the representation of the visualisation of the past in public sphere, which in turn leads to reformulation of monumental art. Modern monuments are often spatial forms consisting both of sculpture installation and bigger constructions. In case of these realisations, the designers,...

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  • Acoustic Processor of the Mine Countermeasure Sonar

    This paper presents the concept of an acoustic processor of the mine countermeasure sonar. Developed at the Department of Marine Electronics Systems, Gdansk University of Technology, the acoustic processor is an element of the MG-89, an underwater acoustic station. The focus of the article is on the modules of the processor. They are responsible for sampling analogue signals and implementing the algorithms controlling the measurement...

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  • Hand gesture recognition supported by fuzzy rules and Kalman filters

    The paper presents a system based on camera and multimediaprojector enabling a user to control computer applications by dynamic hand gestures. Gesture recognition methodology based on representing hand movement trajectory by motion vectors analysed using fuzzy rule-based inference is first given. For effective hand position tracking Kalman filters are employed. The system engineered is developed using J2SE and C++/OpenCV technology....

  • Analysis of luminance distribution uniformity in CAVE-type virtual reality systems

    Publication

    In recent years, many scientific and industrial centers in the world developed a virtual reality systems or laboratories. The effect of user “immersion” into virtual reality in such systems is largely dependent of optical properties of the system. In this paper, problems of luminance distribution uniformity in CAVE-type virtual reality systems are analyzed. For better characterization of CAVE luminance nonuniformity corner and...

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  • The study of Arduino Uno feasibility for DAQ purposes

    Publication

    - Diagnostyka - Year 2019

    Using microcontroller systems becomes a routine in various measurement and control tasks. Their wide availability together with a huge potential of extending their functionality by additional modules allows developing advanced measuring and monitoring systems by non-specialists. However, using popular example codes often leads the user to pass over or not to be aware of the limitations of the system and drawing too far-reaching...

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  • HYDROGEN PRODUCTION PERFORMANCE IN THERMOCATALYTIC REACTOR BASED ON THE INTERMETALLIC PHASE OF NI3AL

    Publication

    - Year 2018

    The main aim of the following paper is mathematical modelling for momentum, heat and mass transfer, which is accompanied by chemical surface reactions of the flow of the mixture helium and methanol. The thermocatalytic devices used for decomposition of hydrocarbons incorporate vertical microchannels coupling at the ends and heated to 500 oC at the walls. The results of the experiment were compared with CFD calculations to calibrate...

  • Methodology for hospital design in architectural education

    The architecture of a hospital should be a response to strong user requirements. Recommendations on how to shape the environment of such facilities are highly complex, integrating guidelines from many fields of science. If contradictions between them exist, the designer is required to set priorities for spatial activities. This issue is particularly important during architectural education. The learning process should include projects...

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  • Decrease in Photovoltaic Module Efficiency Due to Deposition of Pollutants

    The deposition of pollutants on the surface of photovoltaic (PV) modules reduce the efficiency that can be achieved in given climatic conditions. This results in the loss of energy yield obtained from the solar installation. A number of factors determine the scale of this problem. The first of these is the amount of impurities deposited, the associated amount of precipitation, and the speed and direction of the wind. A second aspect...

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  • The dynamic signature verification using population-based vertical partitioning

    Publication

    - Year 2020

    The dynamic signature is an attribute used in behavioral biometrics for verifying the identity of an individual. This attribute, apart from the shape of the signature, also contains information about the dynamics of the signing process described by the signals which tend to change over time. It is possible to process those signals in order to obtain descriptors of the signature characteristic of an individual user. One of the methods...

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  • Badanie stanu nawierzchni drogowej z wykorzystaniem uczenia maszynowego

    Publication

    W artykule opisano budowę systemu informowania o stanie nawierzchni drogowej z wykorzystaniem metod cyfrowego przetwarzania obrazów oraz uczenia maszynowego. Efektem wykonanych prac badawczych jest eksperymentalna platforma, pozwalająca na rejestrację uszkodzeń na drogach, system do analizy, przetwarzania i klasyfikacji danych oraz webowa aplikacja użytkownika do przeglądu stanu nawierzchni w wybranej lokalizacji.

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  • Uwierzytelnienie i autoryzacja w systemie STRADAR

    Przedstawiono rozwiązanie serwera uwierzytelnienia i autoryzacji (AA) w rozproszonym systemie STRADAR, udostępniającym funkcjonalności dla prowadzenia działań operacyjnych Morskiego Oddziału Straży Granicznej. System umożliwia prezentację na stanowisku wizualizacji zdarzeń (SWZ) bieżącej i archiwalnej sytuacji na mapie (AIS, radary), obrazu z kamer, zdjęć, notatek, rozmów telefonicznych oraz plików i wiadomości tekstowych (SMS)...

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  • SegSperm - a dataset of sperm images for blurry and small object segmentation

    Open Research Data

    Many deep learning applications require figure-ground segmentation. The performance of segmentation models varies across modalities and acquisition settings.

  • Physics-guided neural networks (PGNNs) to solve differential equations for spatial analysis

    Numerous examples of physically unjustified neural networks, despite satisfactory performance, generate contradictions with logic and lead to many inaccuracies in the final applications. One of the methods to justify the typical black-box model already at the training stage and lead to many inaccuracies in the final applications. One of the methods to justify the typical black-box model already at the training stage involves extending...

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  • Człowiek zanurzony w rzeczywistości wirtualnej na przykładzie Laboratorium Zanurzonej Wizualizacji Przestrzennej

    Publication

    - Year 2015

    Artykuł opisuje Laboratorium Zanurzonej Wizualizacji Przestrzennej (LZWP), które umożliwia swobodną podróż w czasie i przestrzeni. Jego podstawowym wyposażeniem jest jaskinia rzeczywistości wirtualnej, czyli pomieszczenie o ścianach, suficie i podłodze stanowiących ekrany projekcyjne, wyświetlające generowane komputerowo obrazy 3D, tworzące spójny widok jednej sceny. Człowiek znajdujący się w takiej jaskini jest zatem zanurzony...

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  • DOROTKA, czyli Doskonalenie Organizacji, ROzwoju oraz Tworzenia Kursów Akademickich przez Internet.

    Publication

    - Year 2005

    W artykule zaprezentowano dedykowaną platformę wspierającą kształcenie na odległość opracowaną i uruchomioną w ramach projektu Leonardo da Vinci TeleCAD (Teleworkers Training for CAD System Users, 1998-2001), wykorzystywaną w latach 2000-2003 do wspomagania przedmiotu Podstawy Informatyki na Wydziale Inżynierii Lądowej Politechniki Gdańskiej. Przedstawiono również, bazujący na wieloletnich doświadczeniach, model DOROTKA (Doskonalenie...

  • Visual Features for Improving Endoscopic Bleeding Detection Using Convolutional Neural Networks

    Publication

    The presented paper investigates the problem of endoscopic bleeding detection in endoscopic videos in the form of a binary image classification task. A set of definitions of high-level visual features of endoscopic bleeding is introduced, which incorporates domain knowledge from the field. The high-level features are coupled with respective feature descriptors, enabling automatic capture of the features using image processing methods....

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  • Paradygmat jakościowy w analizie interakcji międzykulturowych – interpretacja na bazie wybranych teorii psychologicznych

    Publication

    - Przedsiębiorczość i Zarządzanie - Year 2016

    Intercultural interactions in a multicultural work environment are a peculiar type of social interactions. The results of prior research on the effects of interactions in such environment are inconclusive. The majority of the previous studies have emphasized problems, applied a quantitative methodology and interpreted the results with regard to social identity and categorization theory, information-processing theory and intergroup contact...

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  • Low-Cost Data-Driven Surrogate Modeling of Antenna Structures by Constrained Sampling

    Full-wave electromagnetic (EM) analysis has become one of the major design tools for contemporary antenna structures. Although reliable, it is computationally expensive which makes automated simulation-driven antenna design (e.g., parametric optimization) difficult. This difficulty can be alleviated by utilization of fast and accurate replacement models (surrogates). Unfortunately, conventional data-driven modeling of antennas...

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  • Cloud solutions as a platform for building advanced learning platform, that stimulate the real work environment for project managers

    Publication

    - Year 2014

    Improving skills of managers and executives require, that during the transfer of knowledge (in different ways: during studies, trainings, workshops and other forms of education) it is necessary to use tools and solutions that are (or will be) used in real world environments, where people being educated are working or will work. Cloud solutions allow educational entities (universities, training companies, trainers, etc.) to provide...

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  • Exploring Neural Networks for Musical Instrument Identification in Polyphonic Audio

    Publication

    - IEEE INTELLIGENT SYSTEMS - Year 2024

    The purpose of this paper is to introduce neural network-based methods that surpass state-of-the-art (SOTA) models, either by training faster or having simpler architecture, while maintaining comparable effectiveness in musical instrument identification in polyphonic music. Several approaches are presented, including two authors’ proposals, i.e., spiking neural networks (SNN) and a modular deep learning model named FMCNN (Fully...

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  • Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models

    Publication
    • R. Yurt
    • H. Torpi
    • P. Mahouti
    • A. Kizilay
    • S. Kozieł

    - IEEE Access - Year 2023

    This work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) object buried in various dispersive soil media, and in different positions. The main contributions of this work are (i) development of a fast and accurate data driven surrogate modeling...

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  • Improved Uniform Sampling in Constrained Domains for Data-Driven Modelling of Antennas

    Publication

    - Year 2018

    Data-driven surrogate modelling of antenna structures is an attractive way of accelerating the design process, in particular, parametric optimization. In practice, construction of surrogates is hindered by curse of dimensionality as well as wide ranges of geometry parameters that need to be covered in order to make the model useful. These difficulties can be alleviated by constrained performance-driven modelling with the surrogate...

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  • Multi-objective design optimization of antennas for reflection, size, and gain variability using kriging surrogates and generalized domain segmentation

    Cost-efficient multi-objective design optimization of antennas is presented. The framework exploits auxiliary data-driven surrogates, a multi-objective evolutionary algorithm for initial Pareto front identification, response correction techniques for design refinement, as well as generalized domain segmentation. The purpose of this last mechanism is to reduce the volume of the design space region that needs to be sampled in order...

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  • Potential and Use of the Googlenet Ann for the Purposes of Inland Water Ships Classification

    Publication

    - Polish Maritime Research - Year 2020

    This article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and...

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  • Rapid Multi-band Patch Antenna Yield Estimation Using Polynomial Chaos-Kriging

    Publication

    - Year 2019

    Yield estimation of antenna systems is important to check their robustness with respect to the uncertain sources. Since the Monte Carlo sampling-based real physics simulation model evaluations are computationally intensive, this work proposes the polynomial chaos-Kriging (PC-Kriging) metamodeling technique for fast yield estimation. PC-Kriging integrates the polynomial chaos expansion (PCE) as the trend function of Kriging metamodel...

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  • Ranking Speech Features for Their Usage in Singing Emotion Classification

    Publication

    - Year 2020

    This paper aims to retrieve speech descriptors that may be useful for the classification of emotions in singing. For this purpose, Mel Frequency Cepstral Coefficients (MFCC) and selected Low-Level MPEG 7 descriptors were calculated based on the RAVDESS dataset. The database contains recordings of emotional speech and singing of professional actors presenting six different emotions. Employing the algorithm of Feature Selection based...

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  • Investigating Feature Spaces for Isolated Word Recognition

    Publication
    • P. Treigys
    • G. Korvel
    • G. Tamulevicius
    • J. Bernataviciene
    • B. Kostek

    - Year 2020

    The study addresses the issues related to the appropriateness of a two-dimensional representation of speech signal for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and time-frequency signal representation converted to the investigated feature spaces. In particular, waveforms and fractal dimension features of the signal were chosen for the time domain, and...

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  • Neural Modelling of Steam Turbine Control Stage

    Publication

    The paper describes possibility of steam turbine control stage neural model creation. It is of great importance because wider application of green energy causes severe conditions for control of energy generation systems operation Results of chosen steam turbine of 200 MW power measurements are applied as an example showing way of neural model creation. They serve as training and testing data of such neural model. Relatively simple...

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  • Framework for gamification of specialized subjects within engineering studies

    Publication

    - Year 2017

    Gamification is a relatively new term forged along with the occurrence of new information technology, especially easy access to internet and smartphones. Gamification is a use of game mechanics, to modify the behavior of people in non-games situations to increase the involvement of individuals. The method is based on the pleasure that comes from overcoming the obstacles to reach next achievable level, which consists of challenges,...

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  • Survey on opportunities and barriers in lighting controls

    Publication
    • B. B. Unzeta
    • J. de Boer
    • R. Delvaeye
    • B. Deroisy
    • M. Fontoynont
    • D. Geisler-Moroder,
    • N. Gentile,
    • T. Luo
    • D. N. Pimenta
    • P. Reinhold... and 5 others

    - Year 2021

    This report summarizes a survey performed in eight countries on the status quo of daylight and electric lighting control systems. Feedback from more than 100 international experts (building / facility managers and planers) was evaluated. The aim of the survey was to identify the perception of the different possibilities of the current lighting control solutions and the expectations about the control systems. The survey aims to...

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  • Deep Learning Basics 2023/24

    e-Learning Courses
    • K. Draszawka

    A course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.

  • Designing intranet portals as electronic workplaces

    Publication

    - Year 2007

    This paper highlights the most important requirements for developing intranet portals, especially in the areas of user interface ergonomics and usability. In specifying relevant usability requirements both perspectives are considered: of company employees and of executives. Best practices are reviewed, regarding successes and failures in intranet absorption, basing on the results on recent research in a number of surveyed Polish...

  • Application tool for IP QoS network design

    Publication

    - Year 2010

    Despite the fact that differentiated-service-aware network implementation has been a widely discussed topic for quite some time, network design still proofs nontrivial. Well developed software could put an end to network designer's problems. This chapter describes work, which has been aimed at creating a comprehensive network design tool, offering a fair range of functionality and high reliability. The presented tool is able to...

  • Polish internet mortgage market: towards fully developed fuzzy model

    Publication

    The first part of the paper consists of introduction describing the Polish Internet Mortgage Market. Later there is presented the idea of the rule based model which may be used on this market. Next step consists of fuzzyfication of the model. This process begins with the initial set of variables which was used previously for the rule based model of the same market. As numerous aspects of the market cannot be presented in the crisp...

  • Acoustic Processor of the MCM Sonar

    This paper presents the concept of an acoustic processor of the mine countermeasure sonar. Developed at the Department of Marine Electronics Systems, Gdansk University of Technology, the acoustic processor is an element of the MG-89, a modernised underwater acoustic station. The focus of the article is on the modules of the processor. They are responsible for sampling analogue signals and implementing the algorithms controlling...

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  • Detection of Face Position and Orientation Using Depth Data

    Publication

    In this paper an original approach is presented for real-time detection of user's face position and orientation based only on depth channel from a Microsoft Kinect sensor which can be used in facial analysis on scenes with poor lighting conditions where traditional algorithms based on optical channel may have failed. Thus the proposed approach can support, or even replace, algorithms based on optical channel or based on skeleton...

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  • HISTORIA ROZWOJU LAMP I OPRAW OŚWIETLENIOWYCH SŁUŻĄCYCH DO OŚWIETLANIA WNĘTRZ MIESZKALNYCH. CZĘŚĆ PIERWSZA

    This paper reflects on the history of decorative luminaire design. The development of the new sources of light within residential environment has been changing the luminaire design. Residential dwellings have been lit by a lot of light sources through the centuries form a point lamps like candle or incandescent lamps to linear florescent lamps and LED strips. A development of SSL technology introduced an idea of lit surfaces. Energy...

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  • Measurements of Spectral Spatial Distribution of Scattering Materials for Rear Projection Screens used in Virtual Reality Systems

    Rapid development of computing and visualisation systems has resulted in an unprecedented capability to display, in real time, realistic computer-generated worlds. Advanced techniques, including three-dimensional (3D) projection, supplemented by multi-channel surround sound, create immersive environments whose applications range from entertainment to military to scientific. One of the most advanced virtual reality systems are CAVE-type...

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  • Enhancing Facial Palsy Treatment through Artificial Intelligence: From Diagnosis to Recovery Monitoring

    Publication

    The objective of this study is to develop and assess a mobile application that leverages artificial intelligence (AI) to support the rehabilitation of individuals with facial nerve paralysis. The application features two primary functionalities: assessing the paralysis severity and facilitating the monitoring of rehabilitation exercises. The AI algorithm employed for this purpose was Google's ML Kit “face-detection”. The classification...

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  • Parallel implementation of a Sailing Assistance Application in a Cloud Environment

    Sailboat weather routing is a highly complex problem in terms of both the computational time and memory. The reason for this is a large search resulting in a multitude of possible routes and a variety of user preferences. Analysing all possible routes is only feasible for small sailing regions, low-resolution maps, or sailboat movements on a grid. Therefore, various heuristic approaches are often applied, which can find solutions...

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  • Simulation Environment in Python for Ship Encounter Situations

    To assess the risk of collision in radar navigation distance-based safety measures such as Distance at the Closest Point of Approach and Time to the Closest Point of Approach are most commonly used. Also Bow Crossing Range and Bow Crossing Time measures are good complement to the picture of the meeting situation. When ship safety domain is considered then Degree of Domain Violation and Time to Domain Violation can be applied. This...

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  • DBpedia and YAGO Based System for Answering Questions in Natural Language

    In this paper we propose a method for answering class 1 and class 2 questions (out of 5 classes defined by Moldovan for TREC conference) based on DBpedia and YAGO. Our method is based on generating dependency trees for the query. In the dependency tree we look for paths leading from the root to the named entity of interest. These paths (referenced further as fibers) are candidates for representation of actual user intention. The...

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  • Support for Employees with ASD in the Workplace Using a Bluetooth Skin Resistance Sensor–A Preliminary Study

    The application of a Bluetooth skin resistance sensor in assisting people with Autism Spectrum Disorders (ASD), in their day-to-day work, is presented in this paper. The design and construction of the device are discussed. The authors have considered the best placement of the sensor, on the body, to gain the most accurate readings of user stress levels, under various conditions. Trial tests were performed on a group of sixteen...

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