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The measurement of input power of power supply in network disturbed by low frequency distortions
PublikacjaIn the paper authors present results of observation of input power changes versus harmonics amplitude in supply voltage of low-power power supply device. In the study, the electrical measurements supported with thermal imaging were used. The input circuit elements of studied device responsible for input power increase are pointed
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A repeated game formulation of network embedded coding for multicast resilience in extreme conditions
PublikacjaComputer networks and data sharing applications are vital for our current society and fundamental for any available ICT solution, so that networking is considered as one of the key critical infrastructures and its correct behavior should be always enforced, even in case of disasters or severe execution conditions. Resilience is a strongly demanding nonfunctional requirement for current computer networks, and one of the key factors...
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Modeling a Traffic Remapping Attack Game in a Multi-hop Ad Hoc Network
PublikacjaIn multi-hop ad hoc networks, selfish nodes may unduly acquire high quality of service (QoS) by assigning higher priority to source packets and lower priority to transit packets. Such traffic remapping attacks (TRAs) are cheap to launch, impossible to prevent, hard to detect, and harmful to non-selfish nodes. While studied mostly in single-hop wireless network settings, TRAs have resisted analysis in multi-hop settings. In this paper...
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EPILEPTIC BEHAVIOR WITH A DISTINGUISHED PREICTAL PERIOD IN A LARGE-SCALE NEURAL NETWORK MODEL
PublikacjaWe present a neural network model capable of reproducing focal epileptic behavior. An important property of our model is the distinguished preictal state. This novel feature may shed light on the pathologi-cal mechanisms of seizure generation and, in perspective, help develop new therapeutic strategies to manage refractory partial epilepsy.
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Assessment and Optimization of Air Monitoring Network for Smart Cities with Multicriteria Decision Analysis
PublikacjaEnvironmental monitoring networks need to be designed in efficient way, to minimize costs and maximize the information granted by their operation. Gathering data from monitoring stations is also the essence of Smart Cities. Agency of Regional Air Quality Monitoring in the Gdańsk Metropolitan Area (pol. ARMAAG) was assessed in terms of its efficiency to obtain variety of information. The results on one-month average concentrations...
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Diagnosing wind turbine condition employing a neural network to the analysis of vibroacoustic signals
PublikacjaIt is important from the economic point of view to detect damage early in the wind turbines before failures occur. For this purpose, a monitoring device was built that analyzes both acoustic signals acquired from the built-in non-contact acoustic intensity probe, as well as from the accelerometers, mounted on the internal devices in the nacelle. The signals collected in this way are used for long-term training of the autoencoder...
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INCREASING THE COUNTRY'S SECURITY AND PUBLIC TRANSPORT ACCESSIBILITY BY CREATING A NETWORK OF SMALL AIRPORTS
PublikacjaIt has been shown that by creating a network of small airports, it is possible to increase the communication accessibility of large population groups and the country's security, including safety at sea. The airports mentioned above may also be located on land considered to be weak from an engineering point of view. These include, for example, wetlands, swamps, flood embankments, poor coastal belt grounds, and reclaimed land. A...
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Non-isolated resonant quasi-Z-source network DC–DC converter
PublikacjaA novel non-isolated resonant quasi-impedance (quasi-Z)-source network DC–DC converter is proposed. The resonant impedance source network is derived from the quasi-Z-source network by including the autotransformer-based resonant cell instead of the second inductor of the quasi-Z-network. The leakage inductance of the autotransformer and two resonant capacitors connected in series with the autotransformer windings constitute a high-frequency...
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Benchmarking Deep Neural Network Training Using Multi- and Many-Core Processors
PublikacjaIn the paper we provide thorough benchmarking of deep neural network (DNN) training on modern multi- and many-core Intel processors in order to assess performance differences for various deep learning as well as parallel computing parameters. We present performance of DNN training for Alexnet, Googlenet, Googlenet_v2 as well as Resnet_50 for various engines used by the deep learning framework, for various batch sizes. Furthermore,...
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Geospatial Coverage and Signal Quality Measurements of Terrestrial DAB+ Network in Northern Poland
PublikacjaModern signal coverage maps are prepared based on industry-standard radio propagation models, which take into account a number of parameters, including: type of antenna, distance from the transmitter, type of terrain, etc. However, such simulations are prone to location-specific inaccuracies, and should be verified with in-situ measurements. This paper presents results of a field test of a terrestrial DAB+ (Digital Audio Broadcasting...
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Development of a tropical disease diagnosis system using artificial neural network and GIS
PublikacjaExpert systems for diagnosis of tropical diseases have been developed and implemented for over a decade with varying degrees of success. While the recent introduction of artificial neural networks has helped to improve the diagnosis accuracy of such systems, this aspect is still negatively affected by the number of supported diseases. A large number of supported diseases usually corresponds to a high number of overlapping symptoms,...
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Health System Efficiency in European Countries: Network Data Envelopment Analysis Approach
PublikacjaPurpose: The article's main aim is to investigate the effectiveness of health systems in European countries based on EUROSTAT data. A comparative analysis of the health systems' effectiveness in different countries is based on their improvement (reform), using the best practices approach. Design/Methodology/Approach: The network DEA model and a slack-based model (NDEA – SBM) are used. A non-oriented model is used. The research...
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Wireless Local Area Network Technologies as Communication Solutions for Unmanned Surface Vehicles
PublikacjaAs the number of research activities and practical deployments of unmanned vehicles has shown a rapid growth, topics related to their communication with operator and external infrastructure became of high importance. As a result a trend of employing IP communication for this purpose is emerging and can be expected to bring significant advantages. However, its employment can be expected to be most effective using broadband communication...
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Network-assisted processing of advanced IoT applications: challenges and proof-of-concept application
PublikacjaRecent advances in the area of the Internet of Things shows that devices are usually resource-constrained. To enable advanced applications on these devices, it is necessary to enhance their performance by leveraging external computing resources available in the network. This work presents a study of computational platforms to increase the performance of these devices based on the Mobile Cloud Computing (MCC) paradigm. The main...
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5G Millimeter Wave Network Optimization: Dual Connectivity and Power Allocation Strategy
PublikacjaThe fifth generation (5G) of mobile networks utilizing millimeter Wave (mmWave) bands can be considered the leading player in meeting the continuously increasing hunger of the end user demands in the near future. However, 5G networks are characterized by high power consumption, which poses a significant challenge to the efficient management of base stations (BSs) and user association. Implementing new power consumption and user...
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KEMR-Net: A Knowledge-Enhanced Mask Refinement Network for Chromosome Instance Segmentation
PublikacjaThis article proposes a mask refinement method for chromosome instance segmentation. The proposed method exploits the knowledge representation capability of Neural Knowledge DNA (NK-DNA) to capture the semantics of the chromosome’s shape, texture, and key points, and then it uses the captured knowledge to improve the accuracy and smoothness of the masks. We validate the method’s effectiveness on our latest high-resolution chromosome...
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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 Statistical Text Representation Methods for Performance Improvement of a Hierarchical Attention Network
PublikacjaTo effectively process textual data, many approaches have been proposed to create text representations. The transformation of a text into a form of numbers that can be computed using computers is crucial for further applications in downstream tasks such as document classification, document summarization, and so forth. In our work, we study the quality of text representations using statistical methods and compare them to approaches...
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Voltage variations and their reduction in a rural low-voltage network with PV sources of energy
PublikacjaRenewable sources of energy (RES), especially photovoltaic (PV) micro-sources, are very popular in many countries. This way of clean power production is applied on a wide scale in Poland as well. The Polish legal regulations and tariffs specify that every prosumer in a low-voltage network may feed this network with a power not higher than the maximum declared consumed power. In power networks with RES, the voltage level changes...
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Comparison of Selected Neural Network Models Used for Automatic Liver Tumor Segmentation
PublikacjaAutomatic and accurate segmentation of liver tumors is crucial for the diagnosis and treatment of hepatocellular carcinoma or metastases. However, the task remains challenging due to imprecise boundaries and significant variations in the shape, size, and location of tumors. The present study focuses on tumor segmentation as a more critical aspect from a medical perspective, compared to liver parenchyma segmentation, which is the...
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Highlighting interlanguage phoneme differences based on similarity matrices and convolutional neural network
PublikacjaThe goal of this research is to find a way of highlighting the acoustic differences between consonant phonemes of the Polish and Lithuanian languages. For this purpose, similarity matrices are employed based on speech acoustic parameters combined with a convolutional neural network (CNN). In the first experiment, we compare the effectiveness of the similarity matrices applied to discerning acoustic differences between consonant...
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IEEE NETWORK
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Resilience and Security in Software Defined Networking
PublikacjaThis paper gives an overview of the most important issues on resilience and security in Software Defined Networking
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Software defined HF data modem
PublikacjaW artykule przedstawiono koncepcję budowy modemu krótkofalowego, opartego na technologii radia programowego. Zaproponowano rozwiązanie warstwy sprzętowej i programowej modemu, które zostało zweryfikowane na drodze pomiarowej w warunkach laboratoryjnych.
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Psychological inspirations in empirical software engineering.
PublikacjaSoftware development is people-intensive activity. Incorporation of human factors in empirical studies of software engineering can bring many benefits for both researchers and practitioners. Psychological inspirations can facilitate this task. In this paper, such incorporation is presented in the contexts of the objectives and problems in empirical studies, applicability of the results in the business context of software enterprise,...
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Risk Identification Patterns for Software Projects.
PublikacjaArtykuł prezentuje metodę identyfikacji ryzyka w projektach informatycznych z użyciem wzorców ryzyka odnoszących się do modelu procesu projektowego. W artykule zdefiniowano meta-model dla modelowania procesów ukierunkowany na analizę ryzyka oraz proste i złożone wzorce ryzyka wywiedzione z tego meta-modelu, jak również pokazano przykładowe użycie wzorców do opisu czynników ryzyka odnoszących się do modelu RUP. Metodę poddano walidacji...
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The control software of the portable raman spectrometer
PublikacjaThe paper contains a description of the control software of a portable Raman spectrometer which was built in the Department of Optoelectronics and Electronic Systems Faculty of Electronics, Telecommunications and Informatics Gdansk University of Technology. The software has modular structure, which includes the laser control module and the spectrum acquisition module (laser power selection, working mode and data acquisition time)...
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Software Tools to Measure the Duplication of Information
PublikacjaData stored in average computer system usually is not unique, portions of stored data are duplicated. When duplicated data are stored in separate files containing source code of computer program of student homework, a possibility of cheating should be seriously considered. This paper presents software tools built, in order to detect re-use of pieces of code in supplied text files. Three aspects of information atching are considered:...
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Towards Agile Development of Critical Software
PublikacjaThe paper presents a case study aiming at collecting opinions of software en-gineers on the risks related to integration of agile practices to safety-critical software development projects. The study has been performed within the scope of our research targetting at providing critical software developers with a comprehensive solution allowing to incorporate agile practices into software development process while still being conformant...
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PROPRIETARY SOFTWARE IN TECHNICAL HIGHER EDUCATION
PublikacjaThe authors present a relatively easy way to extend the quality of education in professional studies (engineering) on major “Geodesy and Cartography”. They indicate the possibility to deepen students’ knowledge by using in the educational process proprietary software enriching education. The authors use their own experiences, results of the cooperation with employers, as well as the effects of scientific research to introduce into...
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PROPRIETARY SOFTWARE IN TECHNICAL HIGHER EDUCATION
PublikacjaThe authors present a relatively easy way to extend the quality of education in professional studies (engineering) on major “Geodesy and Cartography”. They indicate the possibility to deepen students’ knowledge by using in the educational process proprietary software enriching education. The authors use their own experiences, results of the cooperation with employers, as well as the effects of scientific research to introduce...
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Featured based CAVE software factory
PublikacjaIn the paper we convey the lessons learned along the path we have gone through several years since establishing a room-sized CAVE installation at our university, from craft manufacturing and ad-hoc software reuse of VR software products to the robust feature driven software product line (SPL) implementing the Product Line Engineering (PLE) factory paradigm. With that we can serve all our departments and other entities from the...
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Automated Software Engineering
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IEE PROCEEDINGS-SOFTWARE
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INFORMATION AND SOFTWARE TECHNOLOGY
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Journal of Statistical Software
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PROGRAMMING AND COMPUTER SOFTWARE
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JOURNAL OF SYSTEMS AND SOFTWARE
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OPTIMIZATION METHODS & SOFTWARE
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Software and Systems Modeling
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LEARN Journal: Language Education and Acquisition Research Network
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Accuracy analysis of a mobile station location in the cellular networks
PublikacjaJakość usług lokalizacyjnych oferowanych w sieciach komórkowych zależy od efektywności estymacji położenia terminala ruchomego. Dokładność obecnie stosowanych metod lokalizacyjnych jest niewystarczająca, szczególnie w odniesieniu do wywołań w niebezpieczeństwie. Modyfikacja istniejących algorytmów może istotnie wpłynąć na zwiększenie dokładności lokalizowania terminala ruchomego przy jednocześnie niewielkich nakładach finansowych....
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Design of Optical Wireless Networks with Fair Traffic Flows
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Wireless Networks as an Infrastructure for Mission-Critical Business Applications
PublikacjaDespite the dynamic growth of wireless network systems, their pres-ence in business-support infrastructure has been limited. In the article we provide an overview of generic corporate network architecture and examine usefulness of available wireless network solutions in such systems. Following this overview we analyze new wireless network architecture which currently undergoes standardization process - wireless mesh. It can result...
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Performance of LSP preemption methods in different MPLS networks
PublikacjaPreemption in Multiprotocol Label Switching (MPLS) is an optional traffic engineering technique used to create a new path of high priority when there is not enough bandwidth available. In such case the path is admitted by removing one or more previously allocated paths of lower priority. As there are usually many possible sets of low priority paths which can be selected, a preemption algorithm is being started to select the best...
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Localization in wireless sensor networks based on zigbee platform
PublikacjaW artykule porównano dwie różne metody lokalizacji w sieciach sensorów bezprzewodowych. Jedną z metod jest implementacja sprzętowa algorytmu w układzie nadawczo odbiorczym CC2431. Drugą metodą jest implementacja programowa. Wyniki testów przeprowadzonych na otwartym terenie oraz w pomieszczeniach zamkniętych zostały przedstawione i porównane w pracy.
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CRVG - a new model for wireless networks topology generation
PublikacjaThis paper presents a new model of wireless network topology generator. Its main advantage is the possibility of relatively sparse networks generation. Because no iteration is needed, the model can be used for massive generation of networks for testing. The topological properties of produced graphs place them in the class of scale free networks, resembling real ones.
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Application of Bayesian Networks for Forecasting Future Model of Farm
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Problems in toxicity analysis - application of fuzzy neural networks
PublikacjaPraca dotyczy zastosowania sztucznych sieci neuronowych do przygotowywania danych do szacowania toksyczności (wody powierzchniowe). Przygotowanie to polega na sztucznym zagęszczaniu zbioru danych, które następnie mogą być wykorzystane do szacowania/modelowania wartości toksyczności na ich podstawie.
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MAC-layer vulnerabilities of IEEE 802.11 wireless networks
PublikacjaDla sieci bezprzewodowych pracujących według standardu IEEE 802.11 przeprowadzono analizę symulacyjną i badania pomiarowe w specjalnie zestawionej konfiguracji w celu określenia rozdziału pasma transmisyjnego pomiędzy stacje uczciwe i stacje atakujące wybrane mechanizmy protokołu MAC.