Wyniki wyszukiwania dla: REDUCIBLE REPRESENTATIONS - MOST Wiedzy

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Wyniki wyszukiwania dla: REDUCIBLE REPRESENTATIONS

Wyniki wyszukiwania dla: REDUCIBLE REPRESENTATIONS

  • 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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  • Decisional-DNA Based Smart Production Performance Analysis Model

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2019

    n order to allocate resources effectively according to the production plan and to reduce disturbances, a framework for smart production performance analysis is proposed in this article. Decisional DNA based knowledge models of engineering objects, processes and factory are developed within the proposed framework. These models are the virtual representation of manufacturing resources, and with help of Internet of Things, are capable...

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  • MSIS sonar image segmentation method based on underwater viewshed analysis and high-density seabed model

    Publikacja

    - Rok 2017

    High resolution images of Mechanically Scanned Imaging Sonars can bring detailed representation of underwater area if favorable conditions for acoustic signal to propagate are provided. However to properly asses underwater situation based solely on such data can be challenging for less than proficient interpreter. In this paper we propose a method to enhance interpretative potential of MSIS image by dividing it in to subareas depending...

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  • Decisional DNA based intelligent knowledge model for flexible manufacturing system

    Publikacja

    - JOURNAL OF INTELLIGENT & FUZZY SYSTEMS - Rok 2019

    Modeling an effective mechanism for design and control strategies for the implementation of a flexible manufacturing system (FMS) has been a challenge. Consequently, to overcome this issue various techniques have applied in the past but most of these models are effective only for some specific situation or an element of FMS. In this study, the knowledge representation technique of Decisional DNA (DDNA) is applied to FMS to develop...

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  • Study on the Influence of an Axial Distance Between Rotors on a Performance of a Small Counter-Rotating Wind Turbine

    Publikacja

    - Rok 2019

    In this paper, results of the investigation on the performance of a small counter-rotating wind turbinehas been presented. Computational Fluid Dynamics methodshave been used forwind turbine simulations. Rotors representation were introduced into computational domain by means of Actuator Line Model. Influence of an axial distance of CRWTrotorshas been investigated. In all studied configurations rotors were counter-rotating...

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  • Semantic modeling of contextual augmented reality environments

    Publikacja
    • D. Rumiński

    - Rok 2018

    Despite significant progress in the field of augmented reality (AR), regarding both hardware and software, there is still a lack of universal models and methods that would enable building ubiquitous AR systems that could be used anywhere and anytime, covering different application areas. This dissertation describes a new approach to building AR systems, called the Contextual Augmented Reality Environment (CARE). The CARE approach...

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  • Marek Zienkiewicz dr inż.

    Doktor inżynier Marek Hubert dwojga imion Zienkiewicz jest absolwentem Wydziału Geodezji, Inżynierii Przestrzennej i Budownictwa Uniwersytetu Warmińsko-Mazurskiego w Olsztynie. Zainteresowania naukowe w okresie studiów inżynierskich, magisterskich i doktoranckich rozwijał pod opieką przedstawicieli olsztyńskiej szkoły geodezyjnego rachunku wyrównawczego. W roku 2011 uzyskał tytuł zawodowy magistra inżyniera w zakresie geodezji...

  • Vehicle detector training with minimal supervision

    Publikacja

    Recently many efficient object detectors based on convolutional neural networks (CNN) have been developed and they achieved impressive performance on many computer vision tasks. However, in order to achieve practical results, CNNs require really large annotated datasets for training. While many such databases are available, many of them can only be used for research purposes. Also some problems exist where such datasets are not...

  • Damage Imaging in Lamb Wave-Based Inspection of Adhesive Joints

    Adhesive bonding has become increasingly important in many industries. Non-destructive inspection of adhesive joints is essential for the condition assessment and maintenance of a structure containing such joints. The aim of this paper was the experimental investigation of the damage identification of a single lap adhesive joint of metal plate-like structures. Nine joints with different defects in the form of partial debonding...

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  • Programmatic Simulation of Laser Scanning Products

    Publikacja

    - Rok 2018

    The technology of laser scanning is widely used for producing three-dimensional digital representations of geographic features. The measurement results are usually available in the form of 3D point clouds, which are often used as a transitional data model in various remote sensing applications. Unfortunately, while the costs of Light Detection And Ranging scanners have dropped significantly in recent years, they are still considered...

  • Reduced-cost surrogate modelling of compact microwave components by two-level kriging interpolation

    Full-wave electromagnetic (EM) analysis is a versatile tool for evaluating the performance of high-frequency components. Its potential drawback is its high computational cost, inhibiting the execution of EM-driven tasks requiring massive simulations. The applicability of equivalent network models is limited owing to the topological complexity of compact microstrip components because of EM cross-coupling effects. Development of...

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  • The Decisional DNA-Based Smart Bike for Internet of Things

    Publikacja

    - Rok 2014

    In this paper, we introduce a novel application of the Internet of Things, the Decisional DNAbased Smart Bike. The Decisional DNA is a domain-independent, flexible and standard knowledge representation structure; it allows its domains to acquire and store experiential knowledge and formal decision events in an explicit way. By using Decisional DNA, the sensor-equipped bicycle is able to learn its user’s weight, riding habits, etc....

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  • Concept of Multifactor Method and Non-Functional Requirements Solution to Increase Resilience through Functional Safety with Cybersecurity Analysis

    Publikacja

    In the process of designing safety systems, an integrated approach in safety and cybersecurity analysis is necessary. The paper describes a new technique of increasing resilience through integrated analysis of functional safety and cybersecurity. It is a modeling methodology based on the combination of the multifactor method utilizing modified risk graphs, used previously for Safety Integrity Level (SIL) assessment, and the Non-Functional...

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  • Runtime Visualization of Application Progress and Monitoring of a GPU-enabled Parallel Environment

    Publikacja

    The paper presents design, implementation and real life uses of a visualization subsystem for a distributed framework for parallelization of workflow-based computations among clusters with nodes that feature both CPUs and GPUs. Firstly, the proposed system presents a graphical view of the infrastructure with clusters, nodes and compute devices along with parameters and runtime graphs of load, memory available, fan speeds etc. Secondly,...

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  • Multibeam data processing for 3D object shape reconstruction

    Publikacja

    The technology of hydroacoustic scanning offers an efficient and widely-used source of geospatial information regarding underwater environments, providing measurement data which usually have the structure of irregular groups of points known as point clouds. Since this data model has known disadvantages, a different form of representation based on representing surfaces with simple geometric structures, such as edges and facets,...

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  • CONSTRUCTION TECHNOLOGY OF TIMBER-FRAME HOUSES RESISTANT TO DYNAMIC LOADS – STUDY ON MODELS OF EXTERIOR WALLS

    The aim of this paper is to show the numeric representation of experimental studies concerning the behaviour of exterior wall models of a timber-frame house under harmonic loading. A single wall model according to traditional technology of timberframe house walls (filling with mineral wool) was tested. The analysis was conducted for the following frequencies: 0.5 Hz, 1.0 Hz, 2.0 Hz and 5.0 Hz for various values of the specified...

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  • Semantic Memory for Avatars in Cyberspace

    Publikacja

    - Rok 2005

    Avatars that show intelligent behavior should have an access to general knowledge about the world, knowledge that humans store in their semantic memories. The simplest knowledge representation for semantic memory is based on the Concept Description Vectors (CDVs) that store, for each concept, an information whether a given property can be applied to this concept or not. Unfortunately large-scale semantic memories are not available....

  • Rapid multi-objective design optimisation of compact microwave couplers by means of physics-based surrogates

    Publikacja
    • S. Koziel
    • A. Bekasiewicz
    • P. Kurgan
    • J. W. Bandler

    - IET Microwaves Antennas & Propagation - Rok 2016

    The authors introduce a methodology for fast multi-objective design optimisation of miniaturised microwave couplers. The approach exploits the surrogate-based optimisation paradigm with an underlying low-fidelity model constructed from an equivalent circuit of the structure under consideration, corrected through implicit and frequency space mapping. A fast prediction tool obtained this way is subsequently optimised by a multi-objective...

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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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  • Modelling Coarse Particulate Matter PM10 Concentration in the Tricity Area Using GIS

    Publikacja

    Environmental pollution is an issue of global concern, with Particulate Matter (PM) poisoning being a prime cause of lung cancer. This has led the European Commission to establish strict daily and annual PM concentration limits. The monitoring of air quality in major cities is the responsibility of European Member States. The Tricity, a 414.81 km 2 area in northern Poland, is monitored by a network of only 9 stations operated by...

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  • Dispersive Delay Structures With Asymmetric Arbitrary Group-Delay Response Using Coupled-Resonator Networks With Frequency-Variant Couplings

    This article reports the design of coupled-resonatorbased microwave dispersive delay structures (DDSs) with arbitrary asymmetric-type group delay response. The design process exploits a coupling matrix representation of the DDS circuit as a network of resonators with frequency-variant couplings (FVCs). The group delay response is shaped using complex transmission zeros (TZs) created by dispersive cross-couplings. We also present an...

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  • Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention

    Publikacja

    - Rok 2021

    This paper describes two novel complementary techniques that improve the detection of lexical stress errors in non-native (L2) English speech: attention-based feature extraction and data augmentation based on Neural Text-To-Speech (TTS). In a classical approach, audio features are usually extracted from fixed regions of speech such as the syllable nucleus. We propose an attention-based deep learning model that automatically de...

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  • Toward Human Chromosome Knowledge Engine

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2024

    Human chromosomes carry genetic information about our life. Chromosome classification is crucial for karyotype analysis. Existing chromosome classification methods do not take into account reasoning, such as: analyzing the relationship between variables, modeling uncertainty, and performing causal reasoning. In this paper, we introduce a knowledge engine for reasoning-based human chromosome classification that stores knowledge...

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  • On Applications of Elements Modelled by Fractional Derivatives in Circuit Theory

    Publikacja

    - ENERGIES - Rok 2020

    In this paper, concepts of fractional-order (FO) derivatives are reviewed and discussed with regard to element models applied in the circuit theory. The properties of FO derivatives required for the circuit-level modeling are formulated. Potential problems related to the generalization of transmission-line equations with the use of FO derivatives are presented. It is demonstrated that some formulations of FO derivatives have limited...

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  • Experience-Oriented Knowledge Management for Internet of Things

    Publikacja

    - Rok 2016

    In this paper, we propose a novel approach for knowledge management in Internet of Things. By utilizing Decisional DNA and deep learning technologies, our approach enables Internet of Things of experiential knowledge discovery, representation, reuse, and sharing among each other. Rather than using traditional machine learning and knowledge discovery methods, this approach focuses on capturing domain’s decisional events via Decisional...

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  • Decisional DNA Based Conceptual Framework for Smart Manufacturing

    Publikacja

    - Advances in Intelligent Systems and Computing - Rok 2016

    This paper presents the conceptual framework for systematic knowledge representation, storage and reuse of manufacturing information in a production scenario. This knowledge structure is designed for three levels in a manufacturing set up viz. first at the engineering objects level, second at process and finally at factory level. Virtual engineering object (VEO) deals with knowledge at the individual object/component/machine level...

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  • Multi-objective optimization of compact UWB impedance matching transformers using Pareto front exploration and adjoint sensitivities

    Publikacja

    - Rok 2016

    In this paper, a technique for fast multi-objective optimization of impedance matching transformers has been presented. In our approach, a set of alternative designs that represent the best possible trade-offs between conflicting objectives (here, the maximum reflection level within a frequency band of interest and the circuit size) is identified by directly exploring the Pareto front. More specifically, the subsequent Pareto-optimal...

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  • Flora i fauna w sztuce cystersów Pomorza Gdańskiego. Flora and fauna in the art of Pomerelian Cistercians.

    Publikacja

    - Rok 2016

    W sztuce cystersów pomorskich bardzo często spotyka się motywy odnoszące się do flory i fauny. W okresie średniowiecza miały one najczęściej znaczenie symboliczne, związane ze Starym i Nowym Testamentem. Ich głównym zadaniem było przypomnienie zakonnikom o miłosierdziu Pańskim oraz treści związanych z tymi fragmentami życia Jezusa, które są wskazówkami jak powinni żyć chrześcijanie. Sygnalizowano też konieczność wykazywania stałej...

  • Sub-national structures matter when evaluating physical activity promotion: Lessons from Germany

    Publikacja
    • S. Forberger
    • P. Gelius
    • S. Messing
    • K. Volf
    • L. Kelly
    • S. J. E. Taylor
    • J. Żukowska
    • J. Lakerveld
    • C. Woods

    - EUROPEAN JOURNAL OF PUBLIC HEALTH - Rok 2020

    Background Public policies are increasingly acknowledged as important part of promoting physical activity (PA). However, especially in states with sub-national administrative structures such as Germany, national and sub-national approaches differ considerably. In Germany, sport for all (SfA) promotion is mostly organized at sub-national level, which is usually not covered in national evaluations. Knowledge of these structures helps...

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  • Damian Rosiak dr inż.

    Osoby

    Wykształcenie Studia I stopnia - inżynierskie, kierunek BIOTECHNOLOGIATytuł pracy inżynierskiej: "Reakcja halogenków rtęci(II) z wybranymi N-benzoilotiomocznikami i charakterystyka strukturalna jej produktów"Promotor: prof. dr hab. inż. Barbara Becker, prof. zw. PG Studia II stopnia - magisterskie, kierunek BIOTECHNOLOGIATytuł pracy magisterskiej: "Reakcje halogenków rtęci(II) z wybranymi tiomocznikami i charakterystyka produktów"Praca...

  • Wsparcie rzeczywistości wirtualnej dla projektów realizowanych w ASP w Gdańsku / Virtual reality support for the projects carried out in the AFA in Gdańsk

    Publikacja

    - Rok 2019

    Laboratorium Zanurzonej Wizualizacji Przestrzennej (LZWP) jest unikatowym w skali kraju miejscem, gdzie w grupie kilku osób można wspólnie eksplorować świat iluzji. Na takie doświadczenie pozwalają znajdujące się tam jaskinie rzeczywistości wirtualnej (ang. Cave Automatic Virtual Environment, CAVE) umożliwiające uczestnikom eksperymentu wniknięcie w środowisko zarówno kreowane komputerowo, jak i stanowiące cyfrową kopię realnego...

  • General solution of quantum mechanical equations of motion with time-dependent Hamiltonians: A Lie algebraic approach

    Publikacja

    - REPORTS ON MATHEMATICAL PHYSICS - Rok 2010

    The unitary operators U(t), describing the quantum time evolution of systems with a time-dependent Hamiltonian, can be constructed in an explicit manner using the method of time-dependent invariants. We clarify the role of Lie-algebraic techniques in this context and elaborate the theory for SU(2) and SU(1,1). In these cases we give explicit formulae for obtaining general solutions from special ones. We show that the constructions...

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  • Musical Instrument Tagging Using Data Augmentation and Effective Noisy Data Processing

    Developing signal processing methods to extract information automatically has potential in several applications, for example searching for multimedia based on its audio content, making context-aware mobile applications (e.g., tuning apps), or pre-processing for an automatic mixing system. However, the last-mentioned application needs a significant amount of research to reliably recognize real musical instruments in recordings....

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  • Application of multicriteria decision analysis to assess the greenness of molecularly imprinted polymers synthesis components

    Publikacja

    - MICROCHEMICAL JOURNAL - Rok 2024

    The study applies multicriteria decision analysis (MCDA) to rank the components of molecularly imprinted polymers (MIPs) synthesis according to their greenness. The components are taken from papers that are describing synthesis of MIPs for persistent organic pollutants (POPs) sorbents. Functional monomers (n = 14), target/surrogate molecules (n = 10), porogens (n = 8), cross-linking agents (n = 8) and initiators (n = 4) are described...

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  • CHALK & TALK OR SWIPE & SKYPE?

    Technology in classroom is a matter of heated discussions in the field of education development, especially when multidisciplinary education goes along with language skills. Engineers’ education requires theoretical and practical knowledge. Moreover, dedicated computer skills become crucial for both young graduates and experienced educators on the labor market. Teaching online with or without using different Learning Management...

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  • Greening procedures and analytical parameters. The polychlorinated naphthalenes analysis in complex matrices as proof of concept

    Due to the complexity of analytical procedures employed for the determination of wide spectrum of persistent organic pollutants (POPs), it is important to consider the green character of the applied protocols and propose the greenest solutions. In this review, the green aspects of several analytical procedures used for the determination of polychlorinated naphthalenes (PCNs) (as a representatives of POPs) in different types of...

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  • Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure

    Publikacja

    - Rok 2024

    Design of antennas for modern applications is a challenging task that combines cognition-driven development of topology intertwined with tuning of its parameters using rigorous numerical optimization. However, the process can be streamlined by neglecting the engineering insight in favor of automatic de-termination of structure geometry. In this work, a specification-oriented design of topologically agnostic antenna is considered....

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  • Low-Cost EM-Simulation-Driven Multi-Objective Optimization of Antennas

    Publikacja

    A surrogate-based method for efficient multi-objective antenna optimization is presented. Our technique exploits response surface approximation (RSA) model constructed from sampled low-fidelity antenna model (here, obtained through coarse-discretization EM simulation). The RSA model enables fast determination of the best available trade-offs between conflicting design goals. A low-cost RSA model construction is possible through...

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  • Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning

    Publikacja
    • F. Szatkowski
    • M. Pyła
    • M. Przewięźlikowski
    • S. Cygert
    • B. Twardowski
    • T. Trzciński

    - Rok 2024

    In this work, we investigate exemplar-free class incremental learning (CIL) with knowledge distillation (KD) as a regularization strategy, aiming to prevent forgetting. KDbased methods are successfully used in CIL, but they often struggle to regularize the model without access to exemplars of the training data from previous tasks. Our analysis reveals that this issue originates from substantial representation shifts in the teacher...

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  • Low-cost multi-objective design of compact microwave structures using domain patching

    Publikacja

    - Rok 2016

    A good compromise between size and electrical performance is an important design consideration for compact microwave structures. Comprehensive information about size/performance trade-offs can be obtained through multi-objective optimization. Due to considerable electromagnetic (EM) cross-couplings in highly compressed layouts, the design process has to be conducted at the level of high-fidelity EM analysis which is computationally...

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  • Assurance Case Patterns On-line Catalogue

    Publikacja

    - Rok 2017

    Assurance case is an evidence-based argument demonstrating that a given property of a system (e.g. safety, security) is assured. Assurance cases are developed for high integrity systems, as in many industry domains such argu-ment is explicitly required by regulations. Despite the fact that each assurance case is unique, several reusable argument patterns have been identified and pub-lished. This paper reports work on development...

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  • Modal analysis of railway current collectors using Autodesk Inventor

    Publikacja

    - Rok 2018

    The paper presents the results of modal analysis of railway current collector type 160EC. In the first place, the analysis was carried out analytically for a simplified two lumped mass pantograph model. Then numerical analysis was conducted in the Autodesk Inventor (AI) on the prepared multibody model using the AI modal analysis algorithm, which is based on the finite element method (FEM). Model elements which are most relevant...

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  • Vehicle detector training with labels derived from background subtraction algorithms in video surveillance

    Publikacja

    Vehicle detection in video from a miniature station- ary closed-circuit television (CCTV) camera is discussed in the paper. The camera provides one of components of the intelligent road sign developed in the project concerning the traffic control with the use of autonomous devices being developed. Modern Convolutional Neural Network (CNN) based detectors need big data input, usually demanding their manual labeling. In the presented...

  • Identification of the Contamination Source Location in the Drinking Water Distribution System Based on the Neural Network Classifier

    Publikacja

    The contamination ingression to the Water Distribution System (WDS) may have a major impact on the drinking water consumers health. In the case of the WDS contamination the data from the water quality sensors may be efficiently used for the appropriate disaster management. In this paper the methodology based on the Learning Vector Quantization (LVQ) neural network classifier for the identification of the contamination source location...

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  • Pure cross-anisotropy for geotechnical elastic potentials

    Publikacja

    - Acta Geotechnica - Rok 2022

    The pure cross-anisotropy is understood as a special scaling of strain (or stress). The scaled tensor is used as an argument in the elastic stiffness (or compliance). Such anisotropy can be overlaid on the top of any elastic stiffness, in particular on one obtained from an elastic potential with its own stress-induced anisotropy. This superposition does not violate the Second Law. The method can be also applied to other functions...

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  • Ranking Speech Features for Their Usage in Singing Emotion Classification

    Publikacja

    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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  • The experience of movement in the built form and space: A framework for movement evaluation in architecture

    Publikacja

    - Cogent Arts & Humanities - Rok 2019

    “Movement in architecture” is an organized system of various types of movements stimulated by specific architectural elements. This research was conducted through a qualitative-analytical method and empirical and bibliographical research methods with the aim to categorize different types of movements based on the explorer and observer relationships with the built space and form. So far, most of the related studies have focused...

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  • Rapid multi-objective antenna design using point-by-point Pareto set identification and local surrogate models

    Antenna design is inherently a multicriterial problem.Determination of the best possible tradeoffs between conflicting objectives (a so-called Pareto front), such as reflection response, gain, and antenna size, is indispensable from the designer’s point of view, yet challenging when high-fidelity electromagnetic (EM) simulations are utilized for performance evaluation. Here, a novel and computationally...

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  • Rapid dimension scaling of compact microwave couplers with power split correction

    Publikacja

    - Rok 2017

    In this paper, a technique for rapid re-design ofcompact microwave couplers with respect to operating frequency is discussed. Our methodology involves an inverse surrogate model setup using several reference designs optimized (at the level of equivalent circuit representation of the coupler) for a set of operating frequencies within a range of interest. The surrogate establishes the relationship between the operating frequency...

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  • The Hough transform in the classification process of inland ships

    Publikacja

    This article presents an analysis of the possibilities of using image processing methods for feature extraction that allows kNN classification based on a ship’s image delivered from an on-water video surveillance system. The subject of the analysis is the Hough transform which enables the detection of straight lines in an image. The recognized straight lines and the information about them serve as features in the classification...

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