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Music information retrieval—The impact of technology, crowdsourcing, big data, and the cloud in art.
PublikacjaThe exponential growth of computer processing power, cloud data storage, and crowdsourcing model of gathering data bring new possibilities to music information retrieval (mir) field. Mir is no longer music content retrieval only; the area also comprises the discovery of expressing feelings and emotions contained in music, incorporating other than hearing modalities for helping this issue, users’ profiling, merging music with social...
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Investigating Feature Spaces for Isolated Word Recognition
PublikacjaMuch attention is given by researchers to the speech processing task in automatic speech recognition (ASR) over the past decades. The study addresses the issue related to the investigation of the appropriateness of a two-dimensional representation of speech feature spaces for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and timefrequency signal representation...
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Face with Mask Detection in Thermal Images Using Deep Neural Networks
PublikacjaAs the interest in facial detection grows, especially during a pandemic, solutions are sought that will be effective and bring more benefits. This is the case with the use of thermal imaging, which is resistant to environmental factors and makes it possible, for example, to determine the temperature based on the detected face, which brings new perspectives and opportunities to use such an approach for health control purposes. The...
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Supply current signal and artificial neural networks in the induction motor bearings diagnostics
PublikacjaThis paper contains research results of the diagnostics of induction motor bearings based on measurement of the supply current with usage of artificial neural networks. Bearing failure amount is greater than 40% of all engine failures, which makes their damage-free operation crucial. Tests were performed on motors with intentionally made bearings defects. Chapter 2 introduces the concept of artificial neural networks. It presents...
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Introduction to the ONDM 2022 special issue
PublikacjaThis JOCN special issue contains extended versions of selected papers presented at the 26th International Conference on Optical Network Design and Modeling (ONDM 2022), which took place 16–19 May 2022 at Warsaw University of Technology, Warsaw, Poland. The topics covered by the papers represent trends in optical networking research: application of machine learning to network management, cross-layer network performance optimization,...
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Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA
PublikacjaIn this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands...
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TeleCAD course online and evaluation procedure.
PublikacjaW artykule zaprezentowano system zarządzania nauczaniem na odległość -TeleCAD (Teleworkers Training for CAD Systems Users, projekt Leonardo da Vinci 1998-2001) i jego wykorzystanie w projekcie V Ramowy CURE 2003-2005). Przedstawiono również procedurę ewaluacyjną kursów na odległość na podstawie doświadczeń zdobytych podczas realizacji projektu Leonardo da Vinci EMDEL (European Model for Distance Education and Learning, 2001-2004).
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Bezpieczeństwo elektroenergetyczne dla pokoleń
PublikacjaW artykule przeanalizowano źródła energii pierwotnej, ich wystarczalnośći dywersyfikację w skali lokalnej i globalnej, problem dekarbonizacji polskiej elektroenergetyki na tle europejskiej polityki klimatycznej, osiągalność źródeł gazu jako efektywnego paliwa dla energetyki, polski program energetyki jądrowej, bezpieczeństwo zasilania elektrycznych systemów trakcyjnych jako strategicznej alternatywy...
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Improving Social Justice, Environmental Integrity, and Geopolitical Resilience in EU Electric Mobility Transition
PublikacjaWe recommend improving social justice, environmental integrity, and geopolitical resilience in electric mobility transition. To achieve this policy recommendation, we propose the following: (1) Increase societal acceptance and justice of climate policies by engaging local stakeholders; (2) Prioritize sustainable mobility practices over replacement of internal combustion engine vehicle (ICEV) with battery electric vehicle (BEV);...
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Examples of Taxation on Real Estate Properties as an Long-term Investment Asset. Description of Situation in Selected European Countries
PublikacjaReal estate properties have become the alternative asset for long-term savings and investments. Such investment however is strictly related to risk inter alia taxation policy. The following article describes and discusses both theoretical and practical aspects of long-term investment taxation imposed on real estate market in selected European countries. The article presents the analyses of the taxes including its functions, mechanisms...
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Towards Synthetic and Balanced Digital Government Benchmarking
PublikacjaReliable benchmarking is essential for effective management of the government digitalization efforts. Existing benchmarking instruments generally fail to support this target. One problem is the diversity of instruments, resulting in a split image of digital progress and adding ambiguity to policy decisions. Another problem is disconnect in assessing progress between digital and traditional “analog” governance, lending support to...
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Experiment with small objects floating under water in the harbor security aspect.
PublikacjaObservation of the underwater area is the element of general trend which primary purpose is to protect and enhance the safety of the selected region. The aim of the paper is to present the acoustic characteristics of typical objects floating on the surface or under the water, which constitute some knowledge on how to detect these objects. Create a catalog of acoustic signatures and acoustic images of objects mostly floating under...
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Barriers to inter-company cooperation in clusters
PublikacjaClusters have proved to be an important source of competitiveness for the economic development of regions within the European Union. One of the main goals of cluster development is to stimulate cooperation between companies in one or a few related sectors. The stakeholders of a cluster, as well as the local economy, can derive many benefits from such cooperation. However, there are numerous barriers, which make it difficult for...
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Challenges of branding and marketing of clusters
PublikacjaClusters have proved to be powerful engine s of economic development in the European Union. Clusters and their stakehol ders can derive many benefits fr om a strong cluster brand. However, they face numerous branding and marketing challenges. Specifics of clusters, such as multiple stakeholders, make it difficult to forge a strong brand identity. This paper addresses the need to develop a cluster specific approach to branding and...
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Hazards of a flooding event in the city of Gdansk and possible forms of preventing the phenomenon – case study
PublikacjaThe main objective is to examine the urban flood hazard in the city of Gdansk and to determine the possibilities of preventing this phenomenon. Hydrological and hydraulic modeling was used for the case study analysis of urban flood in Strzyża basin, applying the HEC-HMS and HEC-RAS systems. The result of modeling with the assumption of torrential rainfall with a duration of t = 1 h (from 35 to 58 mm) is the probability of pluvial...
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Virtual reality tools in teaching the conservation and history of Polish architecture
PublikacjaVirtual reality and its impact on teaching conservation and architectural history is the subject of this article. During the COVID-19 crisis in 2020, the education of students of architecture was transferred by Gdańsk University of Technology (GUT), Gdańsk, Poland, to distance learning. This method has provided academics an opportunity to examine the impact of virtual reality and remote education on architectural history and conservation....
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Adding Intelligence to Cars Using the Neural Knowledge DNA
PublikacjaIn this paper we propose a Neural Knowledge DNA based framework that is capable of learning from the car’s daily operation. The Neural Knowledge DNA is a novel knowledge representation and reasoning approach designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing devices. We examine our framework for drivers' classification based on their driving behaviour. The experimental...
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Detection of the Oocyte Orientation for the ICSI Method Automation
PublikacjaAutomation or even computer assistance of the popular infertility treatment method: ICSI (Intracytoplasmic Sperm Injection) would speed up the whole process and improve the control of the results. This paper introduces a preliminary research for automatic spermatozoon injection into the oocyte cytoplasm. Here, the method for detection a correct orientation of the polar body of the oocyte is presented. Proposed method uses deep...
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Potwierdzanie efektów uczenia się jakonowe zadanie dla uczelni wyższych
PublikacjaPraca nawiązuje do przeprowadzonej w 2014 roku nowelizacji ustawy z dnia 27 lipca 2005 r. Prawo o szkolnictwie wyższym. Wprowadzono w niej nowy obowiązek dla uczelni wyższych – potwierdzanie efektów uczenia się nabytych poza systemem studiów. Omowiono zasady kształcenia w kontekście Lifelong Learning oraz walidacji efektów uczenia się. Przedstawiono podstawy wdrożeniowe potwierdzania efektów uczenia się na Politechnice Gdańskiej.
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Interactive Application for Visualization of the Basic Phenomena in RF and Microwave Devices
PublikacjaAn interactive computer application visualizing the basic phenomena in RF and microwave devices is presented. Such kind of educational package can be a very helpful tool for the students as well as for the teachers (of electronics and related fields). This paper is focused on three exemplary problems only and involves: movement of electric charge, filtering of electromagnetic waves and interference phenomena in antenna arrays. The...
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Nowoczesne technologie dla systemów zdalnej edukacji. Zastosowanie Komputerów w Nauce i Technice.XIII cykl seminariów zorganizowanych przez PTETiS, Oddział Gdańsk.
PublikacjaInternet w przyszłości może stać się podstawowym źródłem materiałów do nauczania w szkolnictwie. Problemami w tej dziedzinie są sposoby tworzenia i przechowywania danych oraz metody poszukiwania materiałów na ściśle określony temat. Obecnie istnieją międzynarodowe standardy do tworzenia materiałów edukacyjnych, które zostaną opisane w niniejszym artykule. W publikacji zostanie również przedstawiona całościowa koncepcja...
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Data-driven, probabilistic model for attainable speed for ships approaching Gdańsk harbour
PublikacjaThe growing demand for maritime transportation leads to increased traffic in ports. From this arises the need to observe the consequences of the specific speed ships reach when approaching seaports. However, usually the analyzed cases refer only to the statistical evaluation of the studied phenomenon or to the empirical modelling, ignoring the mutual influence of variables such as ship type, length or weather conditions. In this...
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Risking It All or Here Comes the Flood
PublikacjaThe professional reality is interdisciplinary! When city transformation and evolution starts, what are the tools for successful strategies for urban interventions? How does digital planning for digital fabrication processes look like? How dedicated are the new professionals? And how does this all influence the future of bridge design? More than 60 students representing various disciplines of built environment and working together...
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Thriving in multicultural work settings
PublikacjaOwing to globalization and the global mobility of workforce, working in multicultural environments has become a daily reality for an increasing number of manpower. Such an environment does introduce unique challenges to individuals, enabling some of them to thrive. The aim of the paper, therefore, is to explore the antecedents of thriving and its components in multicultural work settings of multinational corporations (MNCs). The...
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Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
PublikacjaThe construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole.The existing research on construction accidents heavily relies on expert evaluations,which often suffer from issues such as low efficiency, insufficient intelligence, and subjectivity.However, expert opinions provided in construction...
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Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets
PublikacjaThis paper is devoted to the problem of class imbalance in machine learning, focusing on the intrusion detection of rare classes in computer networks. The problem of class imbalance occurs when one class heavily outnumbers examples from the other classes. In this paper, we are particularly interested in classifiers, as pattern recognition and anomaly detection could be solved as a classification problem. As still a major part of...
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PRZYKŁAD MODELU GRY FABULARNEJ WSPIERAJĄCY PROCES ZAANGAŻOWANIA I MOTYWACJI STUDENTÓW WYŻSZYCH UCZELNI TECHNICZNYCH
PublikacjaArtykuł prezentuje koncepcję budowy uniwersalnego scenariusza gry fabularnej, która pomaga zbudować zaangażowanie wśród studentów uczelni technicznych. Jednym ze sposobów na wzmożenie motywacji w procesie uczenia się jest gamifikacja. Gdy gamifikacja wspiera proces nauczania często tworzone są modele tematycznie związane z problematyką danego przedmiotu. Scenariusz proponowanej gry jest uniwersalny i można go wykorzystać w ramach...
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Programy komputerowe a style uczenia się
PublikacjaW artykule podjęto tematykę uczenia się obsługi programów komputerowych w kontekście różnych stylów uczenia się użytkowników. Badania są przeprowadzone na styku użytkownik - program komputerowy; z jednej strony występuje człowiek z jego własnościami psychologicznymi, z drugiej zaś program komputerowy ze cechami wynikającymi z jego budowy i działania. Analizy empiryczne przeprowadzono na przykładzie nauki obsługi programu graficznego...
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Performance Analysis of Convolutional Neural Networks on Embedded Systems
PublikacjaMachine learning is no longer confined to cloud and high-end server systems and has been successfully deployed on devices that are part of Internet of Things. This paper presents the analysis of performance of convolutional neural networks deployed on an ARM microcontroller. Inference time is measured for different core frequencies, with and without DSP instructions and disabled access to cache. Networks use both real-valued and...
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Categorization of Cloud Workload Types with Clustering
PublikacjaThe paper presents a new classification schema of IaaS cloud workloads types, based on the functional characteristics. We show the results of an experiment of automatic categorization performed with different benchmarks that represent particular workload types. Monitoring of resource utilization allowed us to construct workload models that can be processed with machine learning algorithms. The direct connection between the functional...
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Adaptive Algorithm for Interactive Question-based Search
PublikacjaPopular web search engines tend to improve the relevanceof their result pages, but the search is still keyword-oriented and far from "understanding" the queries' meaning. In the article we propose an interactive question-based search algorithm that might come up helpful for identifying users' intents. We describe the algorithm implemented in a form of a questions game. The stress is put mainly on the most critical aspect of this...
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Data-driven models for fault detection using kernel pca:a water distribution system case study
PublikacjaKernel Principal Component Analysis (KPCA), an example of machine learning, can be considered a non-linear extension of the PCA method. While various applications of KPCA are known, this paper explores the possibility to use it for building a data-driven model of a non-linear system-the water distribution system of the Chojnice town (Poland). This model is utilised for fault detection with the emphasis on water leakage detection....
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Detection of Alzheimer's disease using Otsu thresholding with tunicate swarm algorithm and deep belief network
PublikacjaIntroduction: Alzheimer’s Disease (AD) is a degenerative brain disorder characterized by cognitive and memory dysfunctions. The early detection of AD is necessary to reduce the mortality rate through slowing down its progression. The prevention and detection of AD is the emerging research topic for many researchers. The structural Magnetic Resonance Imaging (sMRI) is an extensively used imaging technique in detection of AD, because...
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imPlatelet classifier: image‐converted RNA biomarker profiles enable blood‐based cancer diagnostics
PublikacjaLiquid biopsies offer a minimally invasive sample collection, outperforming traditional biopsies employed for cancer evaluation. The widely used material is blood, which is the source of tumor-educated platelets. Here, we developed the imPlatelet classifier, which converts RNA-sequenced platelet data into images in which each pixel corresponds to the expression level of a certain gene. Biological knowledge from the Kyoto Encyclopedia...
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Adversarial attack algorithm for traffic sign recognition
PublikacjaDeep learning suffers from the threat of adversarial attacks, and its defense methods have become a research hotspot. In all applications of deep learning, intelligent driving is an important and promising one, facing serious threat of adversarial attack in the meanwhile. To address the adversarial attack, this paper takes the traffic sign recognition as a typical object, for it is the core function of intelligent driving. Considering...
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Convolutional Neural Networks for C. Elegans Muscle Age Classification Using Only Self-Learned Features
PublikacjaNematodes Caenorhabditis elegans (C. elegans) have been used as model organisms in a wide variety of biological studies, especially those intended to obtain a better understanding of aging and age-associated diseases. This paper focuses on automating the analysis of C. elegans imagery to classify the muscle age of nematodes based on the known and well established IICBU dataset. Unlike many modern classification methods, the proposed...
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Pedestrian detection in low-resolution thermal images
PublikacjaOver one million people die in car accidents worldwide each year. A solution that will be able to reduce situations in which pedestrian safety is at risk has been sought for a long time. One of the techniques for detecting pedestrians on the road is the use of artificial intelligence in connection with thermal imaging. The purpose of this work was to design a system to assist the safety of people and car intelligence with the use...
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Gender and Digital Divide - Information and Communication Technologiesand their Impact on Equality
PublikacjaIn the entire Europe more women than men graduate from tertiaryeducation institutes. However, they are underrepresented in scientific and engineering disciplines. Women researchers still constitute a minority in the Government and Higher Education Sectors. A number of industry reports highlight a low number of women in IT occupations49. This has led to a variety of public policy measures, such as subsidies on community provision,...
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Convergence or divergence in the European Union
PublikacjaThe disparities in economic prosperity revealed both from inter-country and inter-region perspective are one of the main problem in the modern economy. They consist of the dispersion in the real values such as incomes, GDP or productivity, but also nominal values such as prices and costs. The European Union is aware of this problem hence the role of the regional and structural policy aiming enhancing the cohesion between member...
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Own or public? Later livelihoods of Ukrainian war migrant households in Poland
PublikacjaThis paper presents empirical research on the livelihood resources of Ukrainian households that fled to Poland due to the Russian invasion and reside there long term. Using a nationwide sample of these households and an accurate econometric framework, we investigate the factors influencing the role of income from work, other private resources and public assistance in covering their living costs in exile. Our findings confirm the...
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Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming
PublikacjaIn order to address the output feedback issue for linear discrete-time systems, this work suggests a brand-new adaptive dynamic programming (ADP) technique based on the internal model principle (IMP). The proposed method, termed as IMP-ADP, does not require complete state feedback, merely the measurement of input and output data. More specifically, based on the IMP, the output control problem can first be converted into a stabilization...
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The role of sport in the Smart City concept
PublikacjaSport brings to cities innovative solutions that influence urban life, yet considerations about sport still rarely contribute to the development of the very popular smart city concept. This raises the question: what is the perception of sport in the city from the perspective of the smart city concept? One of the challenges of future urban policy is to provide initiatives that ensure the wellbeing and promote the model of a healthy...
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Smart Document-Centric Processing of Human Oriented Information Flows
PublikacjaUsually people prefer to focus on creative rather than repetitive and schematic work patterns. Still, they must spend a lot of time complying with the procedures, selecting the information they receive and repeatedly restoring the previous state of work. This paper proposes the Mobile INteractive Document architecture (MIND) - a document-centric uniform interface to provide both effective communication of content and coordination...
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Standard of living in Poland at regional level - classification with Kohonen self-organizing maps
PublikacjaThe standard of living is spatially diversified and its analyzes enable shaping regional policy. Therefore, it is crucial to assess the standard of living and to classify regions due to their standard of living, based on a wide set of determinants. The most common research methods are those based on composite indicators, however, they are not ideal. Among the current critiques moved to the use of composite...
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Adapting new tools of urban freight management based on Gdynia’s dedicated delivery bays example – an analysis of the process
PublikacjaThe article presents an analysis of a process which ultimately helped Gdynia to designate pilot delivery sites in its downtown area using international experience. A verification was conducted of policy transfer theory and its practical implementation based on an URBACT Freight Tails project. While the choice of the solution was based on critical analysis of existing practical examples, it needed to be adapted to the local conditions...
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Landscape as the tool of coherence in the land management of rural communes
PublikacjaEconomic and social transformation of rural areas in Poland after 1990 reveals itself through disintegration of previous spatial order. Building a new pattern requires a vision, which would counteract complex causes of disintegration. The latter belong to institutional domain of planning strategies and the area of common practices. Therefore, agreement on aims and means between spatial policy strategies and tactics of space users...
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Benchmarking the Digital Government Value Chain
PublikacjaDigital Government (DG) benchmarking is an academically vivid topic and, equally important, a tool with the potential to provide valuable insights to policymakers and public managers responsible for digital policies at the level of countries and international bodies. Alas, this potential remains largely untapped in the current DG benchmarking practice. In our study, we identify the reasons and propose a way of mitigating them....
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Development of trolleybus public transport in Gdynia as part of sustainable mobility strategy
PublikacjaIn many EU cities trolleybuses are experiencing a period of revitalization. New lines, new and modern trolley-buses, the use of auxiliary propulsion battery, eco-logical values and others, create great opportunities for that kind of public transport as an effective tool to shape transport policy in accordance with the principles of sustainable mobility. Gdynia is one of three cities in Poland with trolleybuses public transport...
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How to define and measure informal employment in CEE countries - the case of Poland
PublikacjaThe study of informal employment is still associated with several obstacles, from the scope of definition, through measurement methods, to policy recommendations. This article aims to revise the existing methodological frames in order to point out how to improve the study of informal employment in CEE countries. The case of Poland serves to examine whether the common definitions and measurement methods are suitable for an inclusive...
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An adaptive-noise Augmented Kalman Filter approach for input-state estimation in structural dynamics
PublikacjaThe establishment of a Digital Twin of an operating engineered system can increase the potency of Structural Health Monitoring (SHM) tools, which are then bestowed with enhanced predictive capabilities. This is particularly relevant for wind energy infrastructures, where the definition of remaining useful life is a main driver for assessing the efficacy of these systems. In order to ensure a proper representation of the physical...