Search results for: art and architecture - Bridge of Knowledge

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Search results for: art and architecture

Search results for: art and architecture

  • RECSYS CHALLENGE 2015: a BUY EVENT PREDICTION IN THE E-COMMERCE DOMAIN

    Publication

    - Year 2016

    In this paper we present our approach to RecSys Challenge 2015. Given a set of e-commerce events, the task is to predict whether a user will buy something in the current session and, if yes, which of the item will be bought. We show that the data preparation and enrichment are very important in finding the solution for the challenge and that simple ideas and intuitions could lead to satisfactory results. We also show that simple...

  • Crystalline Silicon (c-Si)-Based Tunnel Oxide Passivated Contact (TOPCon) Solar Cells: A Review

    Publication

    - ENERGIES - Year 2023

    Contact selectivity is a key parameter for enhancing and improving the power conversion efficiency (PCE) of crystalline silicon (c-Si)-based solar cells. Carrier selective contacts (CSC) are the key technology which has the potential to achieve a higher PCE for c-Si-based solar cells closer to their theoretical efficiency limit. A recent and state-of-the-art approach in this domain is the tunnel oxide passivated contact (TOPCon)...

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  • Identification of Fast Time-varying Communication Channels Using the Preestimation Technique

    Accurate identification of stochastic systems with fast-varying parameters is a challenging task which cannot be accomplished using model-free estimation methods, such as weighted least squares, which assume only that system coefficients can be regarded as locally constant. The current state-of-the-art solutions are based on the assumption that system parameters can be locally approximated by a linear combination of appropriately...

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  • Kinetics of nitrogen removal processes in constructed wetlands

    Publication

    - Year 2018

    The aim of this paper is to present a state-of-the-art review of the kinetics of nitrogen removal in constructed wetlands. Biological processes of nitrogen removal from wastewater can be described using equations and kinetic models. Hence, these kinetic models which have been developed and evaluated allow for predicting the removal of nitrogen in treatment wetlands. One of the most important, first order removal model, which is...

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  • Towards defragmented Lighting Design: concatenating research theories for effective use in design practices.

    Publication
    • K. M. Zielińska-Dąbkowska
    • A. M. Dugar

    - Year 2015

    This paper aims to provide guidelines for transferring design research to practice in the realm of lighting. It is based on the premise that design research in lighting should function as a development of practice, instead of being a distraction to it. Design research refers to the scholarly inquiry that seeks to advance design by studying and improving it in systematic and scientific ways by expanding, testing and operationalizing...

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  • Determination of p-y curves for offshore piles based on in-situ soil investigations

    Offshore piles are subjected to complex loads with considerable lateral component. The pile-soil response to lateral loads can be described with the p-y method. For a given depth the load–deflection relationship is built to simulate the surrounding soil stiffness. This state-of-art paper presents a brief discussion of determination methods for the p-y curves using a standard approach based on the soil parameters derived from laboratory...

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  • State of the Art of Automated Buses

    Publication
    • J. Ainsalu
    • V. Arffman
    • M. Bellone
    • M. Ellner
    • T. Haapamäki
    • N. Haavisto
    • E. Josefson
    • A. Ismailogullari
    • E. Pilli-sihvola
    • O. Madland... and 13 others

    - Sustainability - Year 2018

    Urban transportation in the next few decades will shift worldwide towards electrification and automation, with the final aim of increasing energy efficiency and safety for passengers. Such a big change requires strong collaboration and efforts among public administration, research and stakeholders in developing, testing and promoting these technologies in the public transportation. Working in this direction, this work provides...

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  • Scheduling jobs to contain a natural disaster: a model and complexity

    this paper is devoted to the problem of scheduling suppression units so that a natural disaster is dealt with as efficient as possible. the concept of deteriorating jobs is adopted, that is, the formal model of scheduling represents linearly increasing value loss as the disaster remains unsuppressed and increasing time for its suppression. more precisely, two different goals are considered: finding a suppression schedule of minimal...

  • High-Precision FIR-Model-Based Dynamic Weighing System

    Conveyor belt-type checkweighers are increasingly popular components of modern production lines. They are used to assess the weight of the produced items in motion, i.e., without stopping them on the weighing platform. The main challenge one faces when designing a dynamic weighing system is providing high measurement accuracy, especially at high conveyor belt speeds. The approach proposed in this paper can be characterized as a...

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  • CSR and innovation or CSR as non-technological innovation

    Publication

    - Year 2022

    This chapter investigates the relationship between Corporate Social Responsibility (CSR) and innovation process. There is an ongoing discussion in the literature regarding this relationship, in particular on its one- or bidirectional nature and possible antecedents or mediating factors. This research addresses this gap and aims to provide more conceptual clarity and synthesize the different types of relationships between CSR and...

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  • Amino Acid Based Antimicrobial Agents – Synthesis and Properties

    Structures of several dozen of known antibacterial, antifungal or antiprotozoal agents are based on the amino acid scaffold. In most of them, the amino acid skeleton is of a crucial importance for their antimicrobial activity, since very often they are structural analogs of amino acid intermediates of different microbial biosynthetic pathways. Particularly, some aminophosphonate or aminoboronate analogs of protein amino acids are...

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  • State of the art in sample preparation for human breast milk metabolomics—merits and limitations

    Human breast milk (HBM) contains metabolites that are diverse in chemical structure and concentration. These metabolites range from high-abundance to low-abundance compounds and from polar to nonpolar. This complex nature of HBM makes HBM samples difficult to analyze, especially in global metabolomic studies for the determination and characterization of complete sets of metabolites. In this review, the state of the art in sample...

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  • Miniaturized dual‐band branch‐line coupler with enhanced bandwidth

    In this letter, a miniaturized hybrid dual-band branch-line coupler (BLC) with enhanced fractional bandwidths is proposed. Compact size and bandwidth enhancement are obtained using meandered transmission line sections with broken symmetry between cross-coupling branches. The circuit is designed at a low numerical cost using surrogate-assisted techniques. The optimized design features small size of only 0.25λg×0.19λg(28% miniaturization...

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  • Extending Expressiveness of Knowledge Description with Contextual Approach

    Publication

    - Year 2017

    In the paper we show how imposing the contextual structure of a knowledge base can lead to extending its expressiveness without changing the underlying language. We show this using the example of Description Logics, which constitutes a base for a range of dialects for expressing knowledge in ontologies (including state-of-the-art OWL). While the contextual frameworks have been used in knowledge bases, they have been perceived as...

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  • Selected studies of flow maldistribution in a minichannel plate heat exchanger

    Analysis of the state of-the-art in research of minichannel heat exchangers, especially on the topic of flow maldistribution in multiple channels, has been accomplished. Studies on minichannel plate heat exchanger with 51 parallel minichannels with four hydraulic diameters, i.e., 461 μm, 574 μm, 667 μm, and 750 μm have been presented. Flow at the instance of filling the microchannel with water at low flow rates has been visualized. The...

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  • Miniaturized solid-phase extraction techniques

    More than 80% of analysis time is spent on sample collection and sample preparation, so sample preparation is a critical part of the analytical process. Traditionally, liquid-liquid extraction was developed and employed to screen for general unknowns. However, solid-phase extraction (SPE) is becoming highly popular as an alternative, due to its simplicity and economy in terms of time and solvent. This review summarizes the current...

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  • IZOLACJA I IDENTYFIKACJA NATURALNYCH SUBSTANCJI BARWIĄCYCH OBECNYCH W PRÓBKACH FARB ARTYSTYCZNYCH I TKANINACH POCHODZENIA HISTORYCZNEGO

    Natural organic dyes are group of substances that belong to various types of chemical compounds. The most commonly used in paintings and dyeing textiles were naturally occurring dyestuffs from group of anthraquinones, flavones and indigoid dyes. Identification of coloring substances present in historical artistic paints provides relevant information for a wide range of specialists dealing with works of art and in the field of conservation science....

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  • Computer-assisted pronunciation training—Speech synthesis is almost all you need

    Publication

    - SPEECH COMMUNICATION - Year 2022

    The research community has long studied computer-assisted pronunciation training (CAPT) methods in non-native speech. Researchers focused on studying various model architectures, such as Bayesian networks and deep learning methods, as well as on the analysis of different representations of the speech signal. Despite significant progress in recent years, existing CAPT methods are not able to detect pronunciation errors with high...

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  • Integration of Services into Workflow Applications

    Publication

    - Year 2015

    Describing state-of-the-art solutions in distributed system architectures, Integration of Services into Workflow Applications presents a concise approach to the integration of loosely coupled services into workflow applications. It discusses key challenges related to the integration of distributed systems and proposes solutions, both in terms of theoretical aspects such as models and workflow scheduling algorithms, and technical...

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  • Mainstream shortcut N removal modeling current status and perspectives

    Publication
    • G. Kirim
    • K. Mccullough
    • T. Bressani-ribeiro
    • C. Domingo-félez
    • H. Duan
    • A. Al-omari
    • H. Clippeleir De
    • J. Jimenez
    • S. Klaus
    • M. Ladipo-obasa... and 5 others

    - WATER SCIENCE AND TECHNOLOGY - Year 2022

    This work gives an overview of the state-of-the-art in modelling of short-cut processes for nitrogen removal in mainstream wastewater treatment and presents future perspectives for directing research efforts in line with the needs of practice. The modelling status for deammonification (i.e., anammox-based) and nitrite-shunt processes is presented with its challenges and limitations. The importance of mathematical models for considering...

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  • Upper Limb Bionic Orthoses: General Overview and Forecasting Changes

    Using robotics in modern medicine is slowly becoming a common practice. However, there are still important life science fields which are currently devoid of such advanced technology. A noteworthy example of a life sciences field which would benefit from process automation and advanced robotic technology is rehabilitation of the upper limb with the use of an orthosis. Here, we present the state-of-the-art and prospects for development...

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  • Architektury klasyfikatorów obrazów

    Publication

    - Year 2022

    Klasyfikacja obrazów jest zagadnieniem z dziedziny widzenia komputerowego. Polega na całościowej analizie obrazu i przypisaniu go do jednej lub wielu kategorii (klas). Współczesne rozwiązania tego problemu są w znacznej części realizowane z wykorzystaniem konwolucyjnych głębokich sieci neuronowych (convolutional neural network, CNN). W tym rozdziale opisano przełomowe architektury CNN oraz ewolucję state-of-the-art w klasyfikacji...

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  • A Circular Waveguide Dual-Mode Filter With Improved Out-of-Band Performance for Satellite Communication Systems

    Publication

    This letter presents a novel design for a 3-D-printed circular waveguide dual-mode (CWDM) filter with a modified cavity shape. The modification leads to a wide spurious-free stopband, which is highly desirable for channel separation in waveguide contiguous output multiplexers (OMUXs) in satellite communication systems. The new resonant cavity design is a result of applying shape deformation to a basic circular cavity in order to...

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  • Design and Optimization of a Compact Planar Radiator for UWB Applications and Beyond

    Publication

    A compact monopole antenna for ultra-wideband (UWB) and beyond applications has been proposed. The radiator is based on the monopole topology. The super-wideband behavior has been achieved using a combination of spline-based modifications applied to the driven element, as well as utilization of a tapered feed and a slot-modified ground plane. The electrical performance of the structure has been tuned using a numerical optimization...

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  • Recent trends in determination of neurotoxins in aquatic environmental samples

    Anatoxins, saxitoxins, ciguatoxins, beta-N-methylamino-l-alanine and its isomers are groups of neurotoxins which have a highly specific effect on the nervous system of animals, including humans, by interfering with the transmission of nerve impulses. In order to assess the human exposure to these neurotoxins, selective, interlaboratory-validated analytical methods are being developed to facilitate obtaining reliable results on...

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  • Development of proximity in cluster organizations

    Sustainable development in cluster organizations (COs) is most fully manifested in the synergy effect. In turn, the synergy effect is achieved thanks to the development of proximity among cluster entities. The purpose of the paper is to test two conceptual models reflecting relations between selected dimensions of proximity in cluster organizations. The author reports the findings of a quantitative study conducted in four COs....

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  • Optimally regularized local basis function approach to identification of time-varying systems

    Publication

    Accurate identification of stochastic systems with fast-varying parameters is a challenging task which cannot be accomplished using model-free estimation methods, such as weighted least squares, which assume only that system coefficients can be regarded as locally constant. The current state of the art solutions are based on the assumption that system parameters can be locally approximated by a linear combination of appropriately...

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  • Automatic Correction of Non-Anechoic Antenna Measurements using Low-Pass Filters

    Publication

    Prototype measurements belong to key steps in the development of antenna structures. They are normally performed in expensive facilities, such as anechoic chambers (ACs). Alternatively, antenna performance can be extracted (at a low cost) in non-anechoic conditions upon appropriate post-processing. Unfortunately, existing correction algorithms are difficult to set up and prone to failure, which limits their practical usefulness....

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  • AUTOMATIC OPTIMIZATION OF ADAPTIVE NOTCH FILTER’S FREQUEN CY TRACKING

    Publication

    - Year 2014

    Estimation of instantaneous frequency of narrowband com- plex sinusoids is often performed using lightweight algo- rithms called adaptive notch filters. However, to reach high performance, these algorithms require careful tuning. The paper proposes a novel self-tuning layer for a recently intr o- ducedadaptive notch filtering algorithm. Analysis shows th at, under Gaussian random-walk type assumptions, the resultin g solution converges...

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  • Automatic Optimization Of Adaptive Notch Filter’s Frequency Tracking

    Publication

    - Year 2014

    Estimation of instantaneous frequency of narrowband com- plex sinusoids is often performed using lightweight algo- rithms called adaptive notch filters. However, to reach high performance, these algorithms require careful tuning. The paper proposes a novel self-tuning layer for a recently intr o- ducedadaptive notch filtering algorithm. Analysis shows th at, under Gaussian random-walk type assumptions, the resultin g solution converges...

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  • Multistage generalized adaptive notch filter with improved accuracy

    Publication

    - Year 2015

    Generalized adaptive notch filters (GANFs) are estimators of coefficients of quasi-periodically time-varying systems. Current state of the art GANFs can deliver highly accurate estimates of system variations’ frequency, but underperform in terms of accuracy of the coefficient estimates. The paper proposes a novel multistage GANF with accuracy improved in this aspect. The processing pipeline consists of three stages. The preliminary...

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  • Hierarchical Estimation of Human Upper Body Based on 2D Observation Utilizing Evolutionary Programming and 'Genetic Memory'

    New method of the human body pose estimation based on single camera 2D observation is presented. It employs 3D model of the human body, and genetic algorithm combined with annealed particle filter for searching the global optimum of model state, best matching the object's 2D observation. Additionally, motion cost metric is employed, considering current pose and history of the body movement, favouring the estimates with the lowest...

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  • Surgical tool tracking by on-line selection of structural correlation filters

    Publication

    In visual tracking of surgical instruments, correlation filtering finds the best candidate with maximal correlation peak. However, most trackers only consider capturing target appearance but not target structure. In this paper we propose surgical instrument tracking approach that integrates prior knowledge related to rotation of both shaft and tool tips. To this end, we employ rigid parts mixtures model of an instrument. The rigidly...

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  • OKREŚLENIE STOPNIA DOSTĘPNOŚCI PRZESTRZENI PUBLICZNYCH NA KAMPUSIE POLITECHNIKI GDAŃSKIEJ W MYŚL TEORII PROJEKTOWANIA UNIWERSALNEGO Z UŻYCIEM METODOLOGII SPACE SYNTAX

    Publication

    - Year 2017

    W pracy podjęto próbę oceny efektywności dostępności przestrzeni publicznych na Kampusie Politechniki Gdańskiej oraz zbadania zagadnienia zgodność tych przestrzeni z założeniami projektowania uniwersalnego. Celem pracy jest zbadanie relacji między poszczególnymi obiektami dydaktycznymi, zidentyfikowanie głównych korytarzy dostępu oraz wykazanie czy przestrzeń publiczna Kampusu PG jest przestrzenią dostępną (spatial accesibillity)...

  • Dostępność zakładów karnych i aresztów śledczych z uwzględnieniem potrzeb osób z dysfunkcją wzroku

    Publication

    - Year 2014

    Projektowanie zakładów karnych i aresztów śledczych do potrzeb osób z dysfunkcją wzroku powinno podlegać takim samym uwarunkowaniom, jak projektowanie obiektów zamieszkania zbiorowego. Niestety przepisy Rozporządzenia Ministra Infrastruktury w sprawie warunków technicznych jakim powinny odpowiadać budynki i ich usytuowanie wyłączają zakłady karne z konieczności ich dostosowania do potrzeb osób z niepełnosprawnością. Stoi to w...

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  • Application of regularized Savitzky–Golay filters to identification of time-varying systems

    Savitzky–Golay (SG) filtering is a classical signal smoothing technique based on the local least squares approximation of the analyzed signal by a linear combination of known functions of time (originally — powers of time, which corresponds to polynomial approximation). It is shown that the regularized version of the SG algorithm can be successfully applied to identification of time-varying finite impulse response (FIR) systems....

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  • Low cost real time UAV stereo photogrammetry modelling technique – accuracy considerations

    Publication

    The paper presents accuracy considerations regarding three 3D modelling techniques. The tested new consumer type stereo camera (ZED 3D Stereolabs) has been implemented info an aerial mapping system, on board micro air vehicle MAV) and tested object has been mapped using a real-time photogrammetry with original real-time software application. The evaluated results has been compared with model gained with a state of art unmanned...

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  • A novel microstrip dual-layer rat-race coupler with compact size and enhanced bandwidth

    Publication

    Microwave hybrid couplers are crucial components of mixers, phase shifters, amplifiers and other high-frequency systems. Conventional couplers are characterized by large size which limits their usefulness in modern applications. In this work, a novel compact rat-race coupler with enhanced bandwidth has been proposed. The structure consists of six compact microstrip resonant cells. It is implemented on two separate layers which permits...

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  • Maritime Communications Network Development Using Virtualised Network Slicing of 5G Network

    Publication

    - Nase More - Year 2020

    The paper presents the review on perspectives of maritime systems development at the context of 5G systems implementation and their main properties. Firstly, 5G systems requirements and principles are discussed, which can be important for maritime applications. Secondly, the problems of network softwarisation, virtualisation and slicing, and possible types of services for potential implementation in 5G marine applications are described....

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  • A Survey Investigating the Influence of Business Analysis Techniques on Software Quality Characteristics

    Publication

    Business analysis is recognized as one of the most important areas determining the outcome (success or failure) of a software project. In this paper we explore this subject further by investigating the potential impact of techniques applied in business analysis on essential software quality characteristics. We conducted a literature search for software quality models, analyzed the existing models and selected a subset of commonly...

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  • Considerations of Computational Efficiency in Volunteer and Cluster Computing

    Publication

    - Year 2016

    In the paper we focus on analysis of performance and power consumption statistics for two modern environments used for computing – volunteer and cluster based systems. The former integrate computational power donated by volunteers from their own locations, often towards social oriented or targeted initiatives, be it of medical, mathematical or space nature. The latter is meant for high performance computing and is typically installed...

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  • Quality Evaluation of Novel DTD Algorithm Based on Audio Watermarking

    Publication

    Echo cancellers typically employ a doubletalk detection (DTD) algorithm in order to keep the adaptive filter from diverging in the presence of near-end speech signal or other disruptive sounds in the microphone signal. A novel doubletalk detection algorithm based on techniques similar to those used for audio signal watermarking was introduced by the authors. The application of the described DTD algorithm within acoustic echo cancellation...

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  • Modeling bioaugmentation with nitrifiers in membrane bioreactors

    Publication
    • A. Mannucci
    • G. Munz
    • G. Mori
    • J. Mąkinia
    • C. Lubello
    • J. A. Oleszkiewicz

    - WATER SCIENCE AND TECHNOLOGY - Year 2015

    Bioaugmentation with nitrifiers was studied using two pilot-scale membrane bioreactors, with the purpose of assessing the suitability of state-of-the-art activated sludge models (ASMs) in predicting the efficiency of bioaugmentation as a function of operating conditions. It was demonstrated that the temperature difference between seeding and seeded reactors (ΔT) affects bioaugmentation efficiency. Experimental data were accurately...

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  • Pareto Ranking Bisection Algorithm for Expedited Multi-Objective Optimization of Antenna Structures

    The purpose of this letter is introduction of a novel methodology for expedited multi-objective design of antenna structures. The key component of the presented approach is fast identification of the initial representation of the Pareto front (i.e., a set of design representing the best possible trade-offs between conflicting objectives) using a Pareto-ranking bisection algorithm. The algorithm finds a discrete set of Pareto-optimal...

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  • HYDRODYNAMIC THRUST BEARINGS WITH POLYMER LINING

    Publication

    - TRIBOLOGIA - Year 2016

    Polymeric linings of sliding surfaces of the hydrodynamic bearings have been used successfully for over 50 years. Despite of their long history of operation and research, they have not become wide spread in industrial applications. This fact may be surprising, considering th e conclusions that have been published concerning bearing operation and design. This paper summarizes the current...

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  • THE CREATIVE AND SYMBOLIC FUNCTIONS OF DAYLIGHT IN THE ART MUSEUM BUILDINGS OF THE 21st CENTURY

    Publication

    The paper presents the results of the study on the current extent of daylight use in contemporary buildings of art museums, focusing especially on the possibilities of aesthetic function. A case study and critical analysis were used as the research method. Selected, representative examples of museums of the 21st century are discussed with regard to the creative and functional use of daylight and the application of advanced technology....

  • Rating Prediction with Contextual Conditional Preferences

    Publication

    - Year 2016

    Exploiting contextual information is considered a good solution to improve the quality of recommendations, aiming at suggesting more relevant items for a specific context. On the other hand, recommender systems research still strive for solving the cold-start problem, namely where not enough information about users and their ratings is available. In this paper we propose a new rating prediction algorithm to face the cold-start...

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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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  • A note on the affective computing systems and machines: a classification and appraisal

    Publication

    - Procedia Computer Science - Year 2022

    Affective computing (AfC) is a continuously growing multidisciplinary field, spanning areas from artificial intelligence, throughout engineering, psychology, education, cognitive science, to sociology. Therefore, many studies have been devoted to the aim of addressing numerous issues, regarding different facets of AfC solutions. However, there is a lack of classification of the AfC systems. This study aims to fill this gap by reviewing...

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  • Intelligent Audio Signal Processing − Do We Still Need Annotated Datasets?

    Publication

    - Year 2022

    In this paper, intelligent audio signal processing examples are shortly described. The focus is, however, on the machine learning approach and datasets needed, especially for deep learning models. Years of intense research produced many important results in this area; however, the goal of fully intelligent signal processing, characterized by its autonomous acting, is not yet achieved. Therefore, a review of state-of-the-art concerning...

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  • Decoupled Kalman filter based identification of time-varying FIR systems

    Publication

    When system parameters vary at a fast rate, identification schemes based on model-free local estimation approaches do not yield satisfactory results. In cases like this, more sophisticated parameter tracking procedures must be used, based on explicit models of parameter variation (often referred to as hypermodels), either deterministic or stochastic. Kalman filter trackers, which belong to the second category, are seldom used in...

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  • IFE: NN-aided Instantaneous Pitch Estimation

    Publication

    Pitch estimation is still an open issue in contemporary signal processing research. Nowadays, growing momentum of machine learning techniques application in the data-driven society allows for tackling this problem from a new perspective. This work leverages such an opportunity to propose a refined Instantaneous Frequency and power based pitch Estimator method called IFE. It incorporates deep neural network based pitch estimation...

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  • Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks

    Deep Neural Networks (DNN) are state of the art algorithms for image classification. Although significant achievements and perspectives, deep neural networks and accompanying learning algorithms have some important challenges to tackle. However, it appears that it is relatively easy to attack and fool with well-designed input samples called adversarial examples. Adversarial perturba-tions are unnoticeable for humans. Such attacks...

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  • Compact 4 × 4 butler matrix with non‐standard phase differences for IoT applications

    Publication

    Butler matrices represent a popular class of feeding networks for antenna arrays. Large dimensions and the lack of flexibility in terms of achievable output phase difference make conventional Butler structures of limited use for modern communication devices. In this work, a compact planar 4 × 4 matrix with non-standard relative phase shifts of –30º, 150º, –120º, and 60º has been proposed. The structure is designed to operate at...

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  • Advances in mass spectrometry for iron speciation in plants

    Publication
    • G. AlChoubassi
    • J. Aszyk
    • P. Pisarek
    • K. Bierla
    • L. Ouerdane
    • J. Szpunar
    • R. Łobiński

    - TRAC-TRENDS IN ANALYTICAL CHEMISTRY - Year 2018

    Iron is an important nutrient essential for plants and critical for human health. The state-of-the art of methods for iron speciation in cereal grains and plant fluids is critically reviewed. Particular attention is given to the latest developments in the coupling of HPLC with the parallel ICP MS and electrospray ionization (ESI) MS/MS detection, usually QTOF MS or Q-Orbitrap MS, for the identification and quantification of iron...

  • Carbon Nanomaterials From Metal-Organic Frameworks: A New Material Horizon for CO2 Reduction

    Publication
    • X. Xuan
    • S. Chen
    • S. Zhao
    • J. Y. Yoon
    • G. Boczkaj
    • X. Sun

    - Frontiers in Chemistry - Year 2020

    The rise of CO2 in the atmosphere, which results in severe climate change and temperature increase, is known as the major reason for greenhouse effect. Reducing CO2 to value-added products is an attractive solution to this severe problem, along with addressing the energy crisis, to which the catalysts being employed are of vital importance. Due to their high porosity and tunable compositions, Metal-Organic Frameworks (MOFs) show...

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  • Improving Clairvoyant: reduction algorithm resilient to imbalanced process arrival patterns

    The Clairvoyant algorithm proposed in “A novel MPI reduction algorithm resilient to imbalances in process arrival times” was analyzed, commented and improved. The comments concern handling certain edge cases in the original pseudocode and description, i.e., adding another state of a process, improved cache friendliness more precise complexity estimations and some other issues improving the robustness of the algorithm implementation....

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  • The biological role of prolyl oligopeptidase and the procognitive potential of its peptidic inhibitors from food proteins

    Prolyl oligopeptidase (POP) is a conserved serine protease belonging to proline-specific peptidases. It has both enzymatic and non-enzymatic activity and is involved in numerous biological processes in the human body, playing a role in e.g., cellular growth and differentiation, inflammation, as well as the development of some neurodegenerative and neuropsychiatric disorders. This article describes the physiological and pathological...

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  • Impact of Visual Image Quality on Lymphocyte Detection Using YOLOv5 and RetinaNet Algorithms

    Lymphocytes, a type of leukocytes, play a vital role in the immune system. The precise quantification, spatial arrangement and phenotypic characterization of lymphocytes within haematological or histopathological images can serve as a diagnostic indicator of a particular lesion. Artificial neural networks, employed for the detection of lymphocytes, not only can provide support to the work of histopathologists but also enable better...

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  • Wybrane czynniki ekonomiczno-prawne wpływające na wybór miejsca prowadzenia działalności gospodarczej w krajach Unii Europejskiej

    Publication

    W myśl przepisów art. 49-55 Traktatu o Funkcjonowaniu Unii Europejskiej, które regulują swobodę przedsiębiorczości, przedsiębiorcy uprawnieni są do korzystania z niej w różny sposób. Jedną z cech tej swobody niewątpliwie jest transgraniczność, która wiąże się z wyborem miejsca prowadzenia działalności gospodarczej. Różne są czynniki wpływające na decyzję przedsiębiorcy co do tego miejsca. Część z nich ma charakter ekonomiczny,...

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  • The Current State-of-the-Art in the Determination of Pharmaceutical Residues in Environmental Matrices Using Hyphenated Techniques

    Several thousand tons of pharmaceuticals and their transformation products (metabolites and degradation products) are introduced into the environment each year. They affect both human health and the environment, therefore, analytical procedures enabling the determination of a wide range of pharmaceuticals at trace levelswithminimal effort, time, and energy are required. Nowadays, hyphenated techniques are commonly applied in pharmaceutical...

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  • 3D Imaging Of Underwater Objects Using Multi-Beam Data

    Publication

    One of the main applications of multibeam sonars is high resolution bathymetry measurement, as well as detecting and imaging of underwater objects like shipwrecks. In order to obtain the visualisation quality good enough to allow the researcher to investigate an object in more detail, the approach relying on construction of three-dimensional model of an imaged object, e.g. consisting of nodes, edges and plane elements (facets)...

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  • Reliable low-cost surrogate modeling and design optimisation of antennas using implicit space mapping with substrate segmentation

    Abstract: In this work, a reliable methodology for fast simulation-driven design optimisation of antenna structures is proposed. The authors’ approach exploits implicit space mapping (ISM) technology. To adopt it for handling antenna structures, they introduce substrate segmentation with separate dielectric permittivity value assigned for each segment as ISM preassigned parameters. At the same time, the coarse model for space mapping...

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  • Main strategies, analytical trends and challenges in LC-MS and ambient mass spectrometry-based metabolomics

    A plethora of analytical LC-MS-based methods have been successfully applied to analyses of complex samples of various origin for metabolomics investigations. Over the last ten years, the substantial evolution of ambient mass spectrometry (AMS) techniques has highlighted their tremendous potential in metabolomic studies due to the minimal sample pretreatment requirement and the ability to analyse samples in their native state. This...

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  • Treatment of malodorous air in biotrickling filters: A review

    Odour nuisance, resulting mainly from the presence of the compounds containing osmophore group and characterized by low olfactory threshold, is associated with danger and may be the cause of negative psychosomatic symptoms. Among different methods of malodorous air treatment, biological methods are of importance, mainly due to reduced operating costs, high purification efficiency of voluminous gas streams characterized by low concentrations...

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  • Architekci malują Kaszuby

    Publication

    - Year 2019

    W lipcu Towarzystwo Przyjaciół Sopotu zaprasza na wystawę prezentującą pejzaże kaszubskie. Będzie to kolejna odsłona projektu ARCHITEKCI MALUJĄ zapoczątkowanego w 2016 roku. Obrazy i rysunki eksponowane w dworkowej Galerii powstały w ramach Arch Art 2019 podczas pleneru w urokliwej wsi Krzeszna w gminie Stężyca. Czerwcowe krajobrazy okazały się wyjątkowo sprzyjające wielu ciekawym artystycznym obserwacjom. Autorami prezentowanych...

  • Lamp of adjustable spectrum for photographic usage

    Publication

    Photography is a unique rapidly growing interdisciplinary field encompassing aspects of science, art and technology. Expectations of photographers are steadily increasing with the development of technology. One of the areas playing a crucial role in photography is lighting. Consequently, several types of light sources for photographic use have been developed. The ongoing research in this field concentrates on lamps with tunable...

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  • Preliminary investigations of effect of conditions of FCAW process on diffusible hydrogen content in deposited metal

    Publication

    One of the types of hydrogen degradation of steel welded joints is cold cracking. The direct cause of the formation of cold cracks is simultaneous presence of hydrogen, residual stresses and brittle structure. The way of preventing the occurring of degradation is to eliminate at least one of these factors. Practice has shown that the best solution is to control the amount of hydrogen in deposited metal. In this paper the state...

  • Playback Attack Detection: The Search for the Ultimate Set of Antispoof Features

    Publication

    - Year 2017

    Automatic speaker verification systems are vulnerable to several kinds of spoofing attacks. Some of them can be quite simple – for example, the playback of an eavesdropped recording does not require any specialized equipment nor knowledge, but still may pose a serious threat for a biometric identification module built into an e-banking application. In this paper we follow the recent approach and convert recordings to images, assuming...

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  • Multi-task Video Enhancement for Dental Interventions

    A microcamera firmly attached to a dental handpiece allows dentists to continuously monitor the progress of conservative dental procedures. Video enhancement in video-assisted dental interventions alleviates low-light, noise, blur, and camera handshakes that collectively degrade visual comfort. To this end, we introduce a novel deep network for multi-task video enhancement that enables macro-visualization of dental scenes. In particular,...

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  • Fiber-optic sensors based on microspheres with nanocoatings (Zastosowanie mikrosfer optycznych z cienkowarstwowymi pokryciami w czujnikach światłowodowych)

    Publication

    - Year 2021

    Temperature is one of the most important physical quantities. Temperature measurements are used in every field of life, especially electronics, electrical engineering, energy-related fields, including energy source and storage devices. The goal of this dissertation is to design and optimize the microsphere-based fiber-optic sensors construction for measurement of the sensor surrounding medium temperature, including selection of...

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  • Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment

    Publication
    • A. Kryshtafovych
    • J. Moult
    • W. M. Billings
    • D. Della Corte
    • K. Fidelis
    • S. Kwon
    • K. Olechnovič
    • C. Seok
    • Č. Venclovas
    • J. Won... and 79 others

    - PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS - Year 2021

    Critical Assessment of Structure Prediction (CASP) is an organization aimed at advancing the state of the art in computing protein structure from sequence. In the spring of 2020, CASP launched a community project to compute the structures of the most structurally challenging proteins coded for in the SARS-CoV-2 genome. Forty-seven research groups submitted over 3000 three-dimensional models and 700 sets of accuracy estimates on...

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  • Polysaccharides in fabrication of membranes: A review

    Publication

    - CARBOHYDRATE POLYMERS - Year 2022

    Sustainability concerns have motivated and directed a great deal of interest over the past decade towards the development of green technologies. Polysaccharides are green polymers, which experienced growing demand to substitute chemically synthetic polymers. Different types of polysaccharides i.e. cellulose-, starch-, chitin- alginate-, and chitosan-based carbohydrate polymers have been applied in the fabrication of separation...

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  • A Survey of Fast-Recovery Mechanisms in Packet-Switched Networks

    Publication
    • M. Chiesa
    • A. Kamisinski
    • J. Rak
    • G. Retvari
    • S. Schmid

    - IEEE Communications Surveys and Tutorials - Year 2021

    In order to meet their stringent dependability requirements, most modern packet-switched communication networks support fast-recovery mechanisms in the data plane. While reactions to failures in the data plane can be significantly faster compared to control plane mechanisms, implementing fast recovery in the data plane is challenging, and has recently received much attention in the literature. This survey presents a systematic,...

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  • Implicit Space Mapping for Variable-Fidelity EM-Driven Design of Compact Circuits

    Space mapping (SM) belongs to the most successful surrogate-based optimization (SBO) methods in microwave engineering. Among available SM variations, implicit SM (ISM) is particularly attractive due to its simplicity and separation of extractable surrogate model parameters and design variables of the circuit/system at hand. Unlike other SM approaches, ISM exploits a set of preassigned parameters to align the surrogate with the...

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  • Manufacturing Parameters, Materials, and Welds Properties of Butt Friction Stir Welded Joints–Overview

    Publication

    - Materials - Year 2020

    The modern and eco-friendly friction stir welding (FSW) method allows the combination of even such materials that are considered to be non-weldable. The development of FSW technology in recent years has allowed a rapid increase in the understanding of the mechanism of this process and made it possible to perform the first welding trials of modern polymeric and composite materials, the joining of which was previously a challenge....

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  • A Triplet-Learnt Coarse-to-Fine Reranking for Vehicle Re-identification

    Publication

    - Year 2020

    Vehicle re-identification refers to the task of matching the same query vehicle across non-overlapping cameras and diverse viewpoints. Research interest on the field emerged with intelligent transportation systems and the necessity for public security maintenance. Compared to person, vehicle re-identification is more intricate, facing the challenges of lower intra-class and higher inter-class similarities. Motivated by deep...

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  • Numerical analysis of the container vessel's self-propulsion at different rudder deflection angles

    Publication

    Nowadays, CFD becomes one of the most commonly used research method in ship hydrodynamics, limited to the analyses of hull resistance in calm water. With continuously improving computing power and increasingly more accurate numerical methods it is possible to simulate more complex cases. State of the art CFD tools also enable development of new ways of assessing ship maneuvering performance. This paper presents an attempt on...

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  • Application of Structural Control Systems for the Cables of Cable-Stayed Bridges: State-of-the-Art and State-of-the-Practice

    Publication

    - ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING - Year 2021

    Stay cables are one of the key elements of cable-stayed bridges and are characterized by lightweight, low inherent damping, and high flexibility. They are continuously subjected to small-to large-amplitude vibrations due to various types of dynamic loads that may, in the long term, cause fatigue and fracture problems for the cable system, and may eventually compromise the safety of cable-stayed bridges. Thus, several countermeasures...

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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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  • Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement

    Publication

    - Year 2023

    Behavioral modeling has been rising in importance in modern antenna design. It is primarily employed to diminish the computational cost of procedures involving massive full-wave electromagnetic (EM) simulations. Cheaper alternative offer surrogate models, yet, setting up data-driven surrogates is impeded by, among others, the curse of dimensionality. This article introduces a novel approach to reduced-cost surrogate modeling of...

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  • Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review

    Publication

    - Applied Sciences-Basel - Year 2023

    Background: In the context of Warehouse Management Systems, knowledge related to motion trajectory prediction methods utilizing machine learning techniques seems to be scattered and fragmented. Objective: This study seeks to fill this research gap by using a systematic literature review approach. Methods: Based on the data collected from Google Scholar, a systematic literature review was performed, covering the period from 2016...

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  • Cross-Lingual Knowledge Distillation via Flow-Based Voice Conversion for Robust Polyglot Text-to-Speech

    Publication
    • D. Piotrowski
    • R. Korzeniowski
    • A. Falai
    • S. Cygert
    • K. Pokora
    • G. Tinchev
    • Z. Zhang
    • K. Yanagisawa

    - Year 2023

    In this work, we introduce a framework for cross-lingual speech synthesis, which involves an upstream Voice Conversion (VC) model and a downstream Text-To-Speech (TTS) model. The proposed framework consists of 4 stages. In the first two stages, we use a VC model to convert utterances in the target locale to the voice of the target speaker. In the third stage, the converted data is combined with the linguistic features and durations...

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  • Numerical analysis of the container vessel's self-propulsion at different rudder deflection angles

    Publication

    - Year 2019

    Nowadays, CFD becomes one of the most commonly used research method in ship hydrodynamics, limited to the analyses of hull resistance in calm water. With continuously improving computing power and increasingly more accurate numerical methods it is possible to simulate more complex cases. State of the art CFD tools also enable development of new ways of assessing ship maneuvering performance. This paper presents an attempt on using...

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  • Critical review of electronic nose and tongue instruments prospects in pharmaceutical analysis

    Publication

    - ANALYTICA CHIMICA ACTA - Year 2019

    Electronic nose (enose, EN) and electronic tongue (etongue, ET) have been designed to simulate human senses of smell and taste in the best possible way. The signals acquired from a sensor array, combined with suitable data analysis system, are the basis for holistic analysis of samples. The efficiency of these instruments, regarding classification, discrimination, detection, monitoring and analytics of samples in different types...

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  • Sound engineering as our commitment to its creators in Poland

    Publication

    Sound engineering is an interdisciplinary and rapidly expanding domain. It covers many aspects, such as sound perception, studio and sound mastering technology, music information retrieval including content-based search systems and automatic music transcription frameworks, sound synthesis, sound restoration, electroacoustics, and other ones constituting multimedia technology. Moreover, machine learning methods applied to the topics...

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  • Pareto Ranking Bisection Algorithm for EM-Driven Multi-Objective Design of Antennas in Highly-Dimensional Parameter Spaces

    Publication

    - Procedia Computer Science - Year 2017

    A deterministic technique for fast surrogate-assisted multi-objective design optimization of antennas in highly-dimensional parameters spaces has been discussed. In this two-stage approach, the initial approximation of the Pareto set representing the best compromise between conflicting objectives is obtained using a bisection algorithm which finds new Pareto-optimal designs by dividing the line segments interconnecting previously...

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  • EM-driven topology evolution for bandwidth enhancement of hybrid quadrature patch couplers

    Publication

    A broad operational bandwidth is one of the key performance figures of hybrid patch couplers. Due to the lack of systematic design procedures, bandwidth enhancement is normally obtained through manual modifications of the structure geometry. In this work, an optimization-based topology evolution for EM-driven design of patch couplers with enhanced bandwidth has been proposed. The method exploits a novel spline-based EM model where...

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  • Performance Evaluation of a 650V E-HEMT GaN Power Switch

    Publication

    - Year 2015

    GaN power switches have better characteristics compared to the state-of-the-art Si power transistors. These devices offer high operating temperature and current densities, fast switching and low on-resistance. However, currently only a few producers offer technology of high voltage GaN transistors. Immaturity of this technology is the reason why experimental evaluation of GaN parameters must be performed to properly exploit their...

  • Top k Recommendations using Contextual Conditional Preferences Model

    Recommender systems are software tools and techniques which aim at suggesting to users items they might be interested in. Context-aware recommender systems are a particular category of recommender systems which exploit contextual information to provide more adequate recommendations. However, recommendation engines still suffer from the cold-start problem, namely where not enough information about users and their ratings is available....

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  • Multifrequency Wideband Sonar Array

    Publication
    • A. Eliminowicz
    • W. Lis
    • L. Zajączkowski

    - HYDROACOUSTICS - Year 2012

    This paper describes of new approach to Multifrequency Wideband Arrays (MWA),applied piezocomposite technologies of the array elements. MWA operating in transmitting(Tx) and receiving (Rx) mode on two or three bands, requires state-of-the-art technology andefficient array designing than conventional array in which separate arrays for every band oreven separate Tx and Rx transducers/arrays are used. The new piezocomposite elements...

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  • Design and Implementation of a Dual-band Filtering Wil-kinson Power Divider Using Coupled T-shaped Dual-band Resonators

    Publication

    - ENERGIES - Year 2022

    The paper introduces a novel structure of a dual-band filtering Wilkinson power divider (WPD). Its essential component is a dual-band bandpass filter (BPF), implemented using coupling lines and two T-shaped resonators. The BPF is incorporated into the divider structure to suppress the unwanted harmonics within the circuit. The latter is achieved owing to a wide stopband of the filter. The deigned dual-band WPD can suppress third...

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  • Tuning of the finesse coefficient of optoelectronic devices

    Publication

    - Year 2022

    Optoelectronic devices attracted considerable attention in many branches of science and technology, which can be attributed to their unique properties. Many of them use optical cavities which parameters can be adopted to specific requirements. This thesis investigates the introduction of diamond structures (nitrogen-doped diamond film, boron-doped diamond film, undoped diamond sheet) to optical cavities to tune their finesse coefficient....

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  • Towards Use of OntoClean for Ontology Contextualization

    Publication

    Ontologies are formal systems of concepts used to describe numerous domains of interest. Ontologies are usually very expressive, but it comes at a price of computationally expensive reasoning over them. In our previous work we discussed the possible performance benefits that can be obtained by decomposing an ontology into contexts. While the benefits are appealing, we discovered that, in our case, the main obstacle against using...

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  • Weakly-Supervised Word-Level Pronunciation Error Detection in Non-Native English Speech

    Publication
    • D. Korzekwa
    • J. Lorenzo-trueba
    • T. Drugman
    • S. Calamaro
    • B. Kostek

    - Year 2021

    We propose a weakly-supervised model for word-level mispronunciation detection in non-native (L2) English speech. To train this model, phonetically transcribed L2 speech is not required and we only need to mark mispronounced words. The lack of phonetic transcriptions for L2 speech means that the model has to learn only from a weak signal of word-level mispronunciations. Because of that and due to the limited amount of mispronounced...

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  • MP3vec: A Reusable Machine-Constructed Feature Representation for Protein Sequences

    Publication
    • S. R. Gupte
    • D. S. Jain
    • A. Srinivasan
    • R. Aduri

    - Year 2020

    —Machine Learning (ML) methods have been used with varying degrees of success on protein prediction tasks, with two inherent limitations. First, prediction performance often depends upon the features extracted from the proteins. Second, experimental data may be insufficient to construct reliable ML models. Here we introduce MP3vec, a transferable representation for protein sequences that is designed to be used specifically for sequence-to-sequence...

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  • Advances in olfaction-inspired biomaterials applied to bioelectronic noses

    Publication

    - SENSORS AND ACTUATORS B-CHEMICAL - Year 2018

    Among all the senses, olfactory system of mammals is the least characterised as far as the mechanisms of odour identification are concerned. The results of recent investigations allow better understanding of the operation mechanism of the sense of smell. Progress in this field is crucial for the development of sensor technology based on olfaction-inspired biomaterials, which simulate the olfactory system of the biological counterparts....

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  • Electrodeposited Biocoatings, Their Properties and Fabrication Technologies: A Review

    Publication

    Coatings deposited under an electric field are applied for the surface modification of biomaterials. This review is aimed to characterize the state-of-art in this area with an emphasis on the advantages and disadvantages of used methods, process determinants, and properties of coatings. Over 170 articles, published mainly during the last ten years, were chosen, and reviewed as the most representative. The most recent developments...

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  • Electromagnetic Simulation with 3D FEM for Design Automation in 5G Era

    Publication

    Electromagnetic simulation and electronic design automation (EDA) play an important role in the design of 5G antennas and radio chips. The simulation challenges include electromagnetic effects and long simulation time and this paper focuses on simulation software based on finite-element method (FEM). The state-of-the-art EDA software using novel computational techniques based on FEM can not only accelerate numerical analysis, but...

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  • Constrained aerodynamic shape optimization using neural networks and sequential sampling

    Publication

    - Year 2023

    Aerodynamic shape optimization (ASO) involves computational fluid dynamics (CFD)-based search for an optimal aerodynamic shape such as airfoils and wings. Gradient-based optimization (GBO) with adjoints can be used efficiently to solve ASO problems with many design variables, but problems with many constraints can still be challenging. The recently created efficient global optimization algorithm with neural network (NN)-based prediction...

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