Search results for: KNOWLEDGE REPRESENTATION - Bridge of Knowledge

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Search results for: KNOWLEDGE REPRESENTATION

Search results for: KNOWLEDGE REPRESENTATION

  • Natalia Sokół dr inż.

    BACKGROUND       Master of Science in Light and Lighting (2008-2009/11) The UCL Bartlett School of Graduate Studies, Faculty of the Built Environment, London, UK, www.bartlett.ucl.ac.uk       MA Degree in Interior Architecture (1999-2004), The Academy of Fine Arts, Poznan, Poland, www.uap.edu.pl       MA Degree in Art Education (1997-2002), Academy of Fine Arts, Poznan, Poland, www.uap.edu.pl MAIN RESEARCH AREAS ·         ...

  • TIME- AND FREQUENCY-DOMAIN QUASI-2D SMALL-SIGNAL MOSFET MODELS

    Publication

    - Year 2019

    A novel approach to small-signal MOSFET modeling is presented in this book. As a result, time- and frequency-domain physics-based quasi-2D NQS four-terminal small-signal MOSFET models are proposed. The time-domain model provides the background to a novel DIBL-included quasi‑2D NQS four-terminal frequency-domain small-signal MOSFET model. Parameters and electrical quantities of the frequency-domain model are described by explicit...

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  • Hydration of N-Hydroxyurea from Ab Initio Molecular Dynamics Simulations

    Publication

    N-Hydroxyurea (HU) is an important chemotherapeutic agent used as a first-line treatment in conditions such as sickle cell disease and β-thalassemia, among others. To date, its properties as a hydrated molecule in the blood plasma or cytoplasm are dramatically understudied, although they may be crucial to the binding of HU to the radical catalytic site of ribonucleotide reductase, its molecular target. The purpose of this work...

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  • Automatic Regularization by Quantization in Reducible Representations of CCR: Point-Form Quantum Optics with Classical Sources

    Electromagnetic fields are quantized in a manifestly covariant way by means ofa class of reducible "center-of-mass N-representations" of the algebra of canonical commutationrelations (CCR). The four-potential Aa(x) transforms in these representations as aHermitian four-vector field in Minkowski four-position space (without change of gauge), butin momentum space it splits into spin-1 massless photons and two massless scalars. Whatwe...

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  • The Use of an Ontotrigger for Designing the Ontology of a Model Maturity Capsule

    The aim of this work is to give the definition and present the possibility of applying (introduced and defined here) ontotriggers to design the ontology of a maturity capsule used in the assessment of IT projects. The complexity of designing ontology processes raises the question of whether there is a need for designing ontologies in a situation where it is possible to map them. The work is divided into four main parts. The first...

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  • Smart experience engineering to support collaborative design problems based on constraints modelling

    Publication

    Engineering design is a knowledge intensive process. Experts' experiences from different product life-cycle stages play a key role in problem solving during design decision making by linking up knowledge to find better solutions for a specific design problem. Different approaches have been used to support Collaborative and Concurrent Product Design, such as Constraint Satisfaction Problem (CSP) modelling. Additionally, due to the...

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  • Implementing fuzzy logic to generate user profile in decisional DNA television: the concept and initial case study

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2013

    In the paper the concept and case study of a novel approach that generates a television user's profile utilizing principles of fuzzy logic is presented.

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  • Stream Reasoning to Improve Decision-Making in Cognitive Systems

    Publication
    • C. S. de Oliveira
    • F. Giustozzi
    • C. Zanni-Merk
    • C. Sanin
    • E. Szczerbicki

    - CYBERNETICS AND SYSTEMS - Year 2020

    ABSTRACT Cognitive Vision Systems have gained a lot of interest from industry and academia recently, due to their potential to revolutionize human life as they are designed to work under complex scenes, adapting to a range of unforeseen situations, changing accordingly to new scenarios and exhibiting prospective behavior. The combination of these properties aims to mimic the human capabilities and create more intelligent and efficient...

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  • The Neural Knowledge DNA Based Smart Internet of Things

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2020

    ABSTRACT The Internet of Things (IoT) has gained significant attention from industry as well as academia during the past decade. Smartness, however, remains a substantial challenge for IoT applications. Recent advances in networked sensor technologies, computing, and machine learning have made it possible for building new smart IoT applications. In this paper, we propose a novel approach: the Neural Knowledge DNA based Smart Internet...

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  • Experience-Based Cognition for Driving Behavioral Fingerprint Extraction

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2020

    ABSTRACT With the rapid progress of information technologies, cars have been made increasingly intelligent. This allows cars to act as cognitive agents, i.e., to acquire knowledge and understanding of the driving habits and behavioral characteristics of drivers (i.e., driving behavioral fingerprint) through experience. Such knowledge can be then reused to facilitate the interaction between a car and its driver, and to develop better and...

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  • Architektura a dekonstrukcja. Przypadek Petera Eisenmana i Bernarda Tschumiego

    Publication

    - Year 2015

    Architecture and Deconstruction Case of Peter Eisenman and Bernard Tschumi   Introduction Towards deconstruction in architecture Intensive relations between philosophical deconstruction and architecture, which were present in the late 1980s and early 1990s, belong to the past and therefore may be described from a greater than...

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  • Łukasz Szeremeta

    People

    My current research areas are issues related to the Property Graphs, Cheminformatics and Semantic Web. I am also interested in the latest applications of Artificial Intelligence.