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Performance analysis of an rfid-based 3d indoor positioning system combining scene analysis and neural network methods
PublikacjaThe main purpose of this research is to improve localization accuracy of an active Radio Frequency Identification, RFID tag, in 3D indoor space. The paper presents a new RFID based 3D Indoor Positioning System which shows performance improvement. The proposed positioning system combines two methods: the Scene Analysis technique and Artificial Neural Network. The results of both simulation using Log-Distance Path Loss Model and...
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Speaker Recognition Using Convolutional Neural Network with Minimal Training Data for Smart Home Solutions
PublikacjaWith the technology advancements in smart home sector, voice control and automation are key components that can make a real difference in people's lives. The voice recognition technology market continues to involve rapidly as almost all smart home devices are providing speaker recognition capability today. However, most of them provide cloud-based solutions or use very deep Neural Networks for speaker recognition task, which are...
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Quality Evaluation of Voice Transmission Using BPL Communication System in MV Mine Cable Network
PublikacjaThis article presents results of a quality evaluation study, considering voice transmission in a 6 kV medium voltage cable network using the BPL (Broadband over Power Line) communication system. The tests are carried out under real mining conditions for the selected power cable without voltage, earthed at both sides. Such a method of monitoring work conditions is of great importance, especially during a disaster. Power cables are...
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Artificial neural network based fatigue life assessment of friction stir welding AA2024-T351 aluminum alloy and multi-objective optimization of welding parameters
PublikacjaIn this paper, the fracture behavior and fatigue crack growth rate of the 2024-T351 aluminum alloy has been investigated. At first, the 2024-T351 aluminum alloys have been welded using friction stir welding procedure and the fracture toughness and fatigue crack growth rate of the CT specimens have been studied experimentally based on ASTM standards. After that, in order to predict fatigue crack growth rate and fracture toughness,...
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DIAGNOSIS OF MALIGNANT MELANOMA BY NEURAL NETWORK ENSEMBLE-BASED SYSTEM UTILISING HAND-CRAFTED SKIN LESION FEATURES
PublikacjaMalignant melanomas are the most deadly type of skin cancer but detected early have high chances for successful treatment. In the last twenty years, the interest of automated melanoma recognition detection and classification dynamically increased partially because of public datasets appearing with dermatoscopic images of skin lesions. Automated computer-aided skin cancer detection in dermatoscopic images is a very challenging task...
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Krzysztof Gierłowski dr inż.
OsobyKrzysztof Gierłowski uzyskał tytuł doktora inżyniera telekomunikacji na Wydziale Elektroniki, Telekomunikacji i Informatyki w 2018 roku. Jest autorem lub współautorem ponad 80 publikacji naukowych oraz recenzentem wielu czasopism i konferencji. Brał udział w szeregu projektów badawczych dotyczących tematyki IT, wliczając w to: finansowany ze źródeł UE projekt Inżynieria Internetu Przyszłości, projekt infrastrukturalny PL-LAB2020,...
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The influences of the information and communication technology on the structural changes of Japanese energy sectors from 1985 through 2005: a statistical analysis
PublikacjaThe purpose of this study is to analyse the influences of information and communication technology (ICT) on the structural changes of Japanese energy sectors from 1985-2005. In this study, ICT is represented by two explanatory variables, namely: 1) computers, main parts and accessories; 2) telecommunications equipment. We employ a statistical tool in investigating the influences quantitatively, namely constrained multivariate regression...
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Modeling of TEC Variations Based on Signals from Near Zenith GNSS Satellite Observed by Dense Regional Network
PublikacjaCurrently the substantial successes in high-resolution ionospheric mapping is declared in many publications. Nevertheless, up to now there are no examples of dynamic visualization of TEC disturbances on regional scale with as high resolution as tropospheric models. Over the years, ionosphere has been modeling basing on the simple assumption, that it is a thin layer, which surrounds the Earth at some arbitrary height. However, the...
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Information and communication technologies versus diffusion and substitution of financial innovations. The case of exchange-traded funds in Japan and South Korea
PublikacjaThe substitution between financial innovations, exchange-traded funds (ETFs), and stock index derivatives (i.e. index financial instruments) is one of the relatively understudied topics of the financial sciences. The current study aims to verify empirically the diffusion and substitution of ETFs in the market for index financial instruments. It presents in-depth analysis of the development of index financial instruments traded...
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Enhancing women’s engagement in economic activities through information and communication technology deployment: evidence from Central–Eastern European countries
PublikacjaThis study takes a macro perspective to examine the associations between the economic deployment of information and communication technology (ICT), women’s labor market participation, and economic growth in Central–Eastern European countries between 1990 and 2017. We use data extracted from World Bank Development Indicators, World Development Reports, and the World Telecommunication/ICT Indicators Database. Our methodological framework...
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Food Classification from Images Using a Neural Network Based Approach with NVIDIA Volta and Pascal GPUs
PublikacjaIn the paper we investigate the problem of food classification from images, for the Food-101 dataset extended with 31 additional food classes from Polish cuisine. We adopted transfer learning and firstly measured training times for models such as MobileNet, MobileNetV2, ResNet50, ResNet50V2, ResNet101, ResNet101V2, InceptionV3, InceptionResNetV2, Xception, NasNetMobile and DenseNet, for systems with NVIDIA Tesla V100 (Volta) and...
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An Adaptive Network Model Simulating the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning
PublikacjaThis paper investigates computationally the following research hypotheses: (1) Higher flexibility and discretion in organizational culture results in better mistake management and thus better organizational learning, (2) Effective organizational learning requires a transformational leader to have both high social and formal status and consistency, and (3) Company culture and leader's behavior must align for the best learning effects....
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An Adaptive Network Model Simulating the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning
PublikacjaThis paper investigates computationally the following research hypotheses: (1) Higher flexibility and discretion in organizational culture results in better mistake management and thus better organizational learning, (2) Effective organizational learning requires a transformational leader to have both high social and formal status and consistency, and (3) Company culture and leader’s behavior must align for the best learning effects....
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International Journal of Mobile Network Design and Innovation
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Network Modeling and Analysis in Health Informatics and Bioinformatics
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Journal of the International Network for Korean Language and Culture
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Discovering relationships between data in an enterprise information system using log analysis
PublikacjaEnterprise systems are inherently complex and maintaining their full, up-to-date overview poses a serious challenge to the enterprise architects’ teams. This problem encourages the search for automated means of discovering knowledge about such systems. An important aspect of this knowledge is understanding the data that are processed by applications and their relationships. In our previous work, we used application logs of an enterprise...
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Exploring Relationships Between Data in Enterprise Information Systems by Analysis of Log Contents
PublikacjaEnterprise systems are inherently complex and maintaining their full, up-to-date overview poses a serious challenge to the enterprise architects’ teams. This problem encourages the search for automated means of discovering knowledge about such systems. An important aspect of this knowledge is understanding the data that are processed by applications and their relationships. In our previous work, we used application logs of an enterprise...
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The operational method of filling information gaps in satellite imagery using numerical models
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Minimum Information about T Regulatory Cells: A Step toward Reproducibility and Standardization
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Modern information technology as a factor supporting participation in physical culture of a contemporary man
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Delineating Groundwater Recharge Potential through Remote Sensing and Geographical Information Systems
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The Impact of Innovation and Information Technology on Greenhouse Gas Emissions: A Case of the Visegrád Countries
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Teleportation seen from spacetime: on 2-spinor aspects of quantum information processing
PublikacjaZastosowanie formalizmu 2-spinowego do kwantowego przetwarzania informacji zilustrowane przykładem teleportacji i relatywistycznej korelacji błędu.
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Coastal zone critical infrastructure protection using dedicated geographical information system
PublikacjaW pracy przeanalizowano kilka infrastruktur krytycznych dla Trojmiasta z wykorzystaniem CARVER2. Wyniki zostale poddane analizie z wykorzystaniem systemu GIS.
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Integrated multiscale 3d imaging geographic information system using acoustic data
PublikacjaW artykule zaprezentowano prototyp zintegrowanego systemu informacji geograficznej do trójwymiarowej wizualizacji danych uzyskanych metodami akustycznymi. System wykorzystuje dane pochodzące z systemów wielowiązkowych, sonarów bocznych oraz echosond jednowiązkowych. Otrzymane wyniki zostały zaprezentowane w postaci trójwymiarowych interaktywnych scen obszaru Zatoki Gdańskiej.
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Geographic Information System (GIS) tools for aiding development of inland waterways fleet
PublikacjaInformatyczne wspomaganie planowania i eksploatacji floty śródlądowej obejmuje szereg zagadnień, pośród których szczególnie istotne są problemy związane z analizą stanu istniejących dróg wodnych. Artykuł przedstawia koncepcję budowy modelu danych GIS dla potrzeb projektu INCOWATRANS z uwzględnieniem istniejących danych i ewentualnego wykorzystania ich przez administrację oraz innych użytkowników dróg wodnych.
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Investigating Human Visual Behavior by Hidden Markov Models in the Design of Marketing Information
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Conception of interactive information and decision support system for urban and industrial air management
PublikacjaThis article presents the conception of interactive system for air quality management.
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Architecture for Aggregation, Processing and Provisioning of Data from Heterogeneous Scientific Information Services
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Full Implementation of the River Information Services of Border and Lower Section of the Odra in Poland
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Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium
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Musical Instrument Classification and Duet Analysis Employing Music Information Retrieval Techniques.
PublikacjaArtykuł przedstawia w sposób przeglądowy prace Katedry Systemów Multimedialnych Politechniki Gdańskiej związane z wyszukiwaniem informacji muzycznej, a w szczególności z klasyfikacją dźwięków instrumentów muzycznych. W opisywanych eksperymentach wykorzystano sztuczne sieci neuronowe.
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Longitudinal drug synergy assessment using convolutional neural network image-decoding of glioblastoma single-spheroid cultures
PublikacjaAbstract Background In recent years, drug combinations have become increasingly popular to improve therapeutic outcomes in various diseases, including difficult to cure cancers such as the brain cancer glioblastoma. Assessing the interaction between drugs over time is critical for predicting drug combination effectiveness and minimizing the risk of therapy resistance. However, as viability readouts of drug combination experiments...
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Classification of Covid-19 using Differential Evolution Chaotic Whale Optimization based Convolutional Neural Network
PublikacjaCOVID-19, also known as the Coronavirus disease-2019, is an transferrable disease that spreads rapidly, affecting countless individuals and leading to fatalities in this worldwide pandemic. The precise and swift detection of COVID-19 plays a crucial role in managing the pandemic's dissemination. Additionally, it is necessary to recognize COVID-19 quickly and accurately by investigating chest x-ray images. This paper proposed a...
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Dietary behaviour and physical activity policies in Europe: learnings from the Policy Evaluation Network (PEN)
PublikacjaThe European Policy Evaluation Network (PEN), initiated in autumn 2018, aimed at advancing the evidence base for public policies impacting dietary behaviour, physical activity and sedentary behaviours in Europe. This is needed because non-communicable diseases—the leading cause of global mortality—are substantially caused by physical inactivity and unhealthy dietary behaviours, which in turn are driven by upstream factors that...
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Mutual Coupling Reduction in Antenna Arrays Using Artificial Intelligence Approach and Inverse Neural Network Surrogates
PublikacjaThis paper presents a novel approach to reduce undesirable coupling in antenna arrays using custom-designed resonators and inverse surrogate modeling. To illustrate the concept, two stand-ard patch antenna cells with 0.07λ edge-to-edge distance are designed and fabricated to operate at 2.45 GHz. A stepped-impedance resonator is applied between the antennas to suppress their mutual coupling. For the first time, the optimum values...
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A Method of Fast and Simultaneous Calibration of Many Mobile FMCW Radars Operating in a Network Anti-Drone System
PublikacjaA market for small drones is developing very fast. They are used for leisure activities and exploited in commercial applications. However, there is a growing concern for accidental or even criminal misuses of these platforms. Dangerous incidents with drones are appearing more often, and have caused many institutions to start thinking about anti-drone solutions. There are many cases when building stationary systems seems to be aimless...
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Performance and Security Testing for Improving Quality of Distributed Applications Working in Public/Private Network Environments
PublikacjaThe goal of this dissertation is to create an integrated testing approach to distributed applications, combining both security and performance testing methodologies, allowing computer scientist to achieve appropriate balance between security and performance charakterstics from application requirements point of view. The constructed method: Multidimensional Approach to Quality Analysis (MA2QA) allows researcher to represent software...
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Personalized nutrition in ageing society: redox control of major-age related diseases through the NutRedOx Network (COST Action CA16112)
PublikacjaA healthy ageing process is important when it is considered that one-third of the population of Europe is already over 50 years old, although there are regional variations. This proportion is likely to increase in the future, and maintenance of vitality at an older age is not only an important measure of the quality of life but also key to participation and productivity. So, the binomial “nutrition and ageing” has different aspects...
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Neural Network-Based Sequential Global Sensitivity Analysis Algorithm
PublikacjaPerforming global sensitivity analysis (GSA) can be challenging due to the combined effect of the high computational cost, but it is also essential for engineering decision making. To reduce this cost, surrogate modeling such as neural networks (NNs) are used to replace the expensive simulation model in the GSA process, which introduces the additional challenge of finding the minimum number of training data samples required to...
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Modern power-electronics installations in the Polish electrical power network
PublikacjaThe paper discusses the most important areas of application of power electronics arrangements in the Polish electrical power system; especially in the distribution system. The examples presented demonstrate both the need for and the purpose of further research and its applications in these fields, as well as indicating the direction of future research, with special consideration given to the research required in Poland. The proposed...
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Energy-Efficient Neural Network Inference with Microcavity Exciton Polaritons
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Neural network approach to 2D Kalman filtering in image processing
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Traffic Speed Deflectometer for Network-Level Pavement Management in Tennessee
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Modular wireless sensor network platform for RF transceiver evaluation
PublikacjaArtykuł przedstawia modułową technikę projektowania sieci sensorów bezprzewodowych. Uniwersalne połączenia występujące pomiędzy modułami pozwalają na zaprojektowanie nowej wersji sieci w przeciągu kilku dni zamiast tygodni. Na bazie wymienionej metodologii skonstruowane została platforma pozwalająca testować różnego rodzaju układy nadawczo odbiorcze pracujące na częstotliwościach RF.
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A global atmospheric electricity monitoring network for climate and geophysical research
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NIRCa: An artificial neural network-based insulin resistance calculator
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Measurement of engine and vehicle parameters using onboard CAN network
PublikacjaWspółczesne samochody wyposażane są w dużą liczbę układów elektronicznych, które wymagają wzajemnej wymiany informacji. Techniczne problemy niezależnego łączenia ze sobą dużej liczby sterowników doprowadziły do powstania pokładowych sieci wymiany danych. Do najpopularniejszych z nich zalicza się obecnie system CAN. W pracy przedstawiono metodę rozpoznawania ramek wiadomości transmitowanych w pokładowej sieci CAN pojazdu przez sterowniki....
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Photovoltaic bulk heterojunctions with interpenetrating network based on semiconducting polymers
PublikacjaPhotovoltaic cells are supposed to be the most common generators of useful electricity in the nearest future as they utilize inexhaustible carriers of renewable energy called photons. Despite the fact that 95% of worldwide applied photovoltaic devices are based on inorganic semiconductors the area of organic photovoltaics grows successively due to possibility of considerable reduction of manufacturing costs. Since the Heeger's...