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Search results for: INTEGRATED DIAGNOSTICS
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Using an IEEE1149.1 Test Bus for Fault Diagnosis of Analog Parts of Electronic Embedded Systems
PublicationThe new solution of a BIST called the JTAG BIST for self-testing of analog parts of electronic embedded systems is presented in the paper. The JTAG BIST consists of the BCT8244A and SCANSTA476 integrated circuits of Texas Instruments controlled via the IEEE 1149.1 bus. The BCT8244A is a scan test device with octal buffers, and the SCANSTA476 is a 12-bit ADC with 8 analog input channels. Self-testing approach is based on the fault...
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Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment
PublicationClinical Decision Support Systems (CDSS) are active knowledge resources that use patient data to generate case specific advice. The fast pace of change of clinical knowledge imposes to CDSS the continuous update of the domain knowledge and decision criteria. Traditional approaches require costly tedious manual maintenance of the CDSS knowledge bases and repositories. Often, such an effort cannot be assumed by medical teams, hence...
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Two‐functional μBIST for Testing and Self‐Diagnosis of Analog Circuits in Electronic Embedded Systems
PublicationThe paper concerns the testing of analog circuits and blocks in mixed‐signal Electronic Embedded Systems (EESs), using the Built‐in Self‐Test (BIST) technique. An integrated, two‐functional, embedded microtester (μBIST) based on reuse of signal blocks already present in an EES, such as microprocessors, memories, ADCs, DACs, is presented. The novelty of the μBIST solution is its extended functionality. It can perform 2 testing functions:...
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APPLICATION OF STATISTICAL FEATURES AND MULTILAYER NEURAL NETWORK TO AUTOMATIC DIAGNOSIS OF ARRHYTHMIA BY ECG SIGNALS
PublicationAbnormal electrical activity of heart can produce a cardiac arrhythmia. The electrocardiogram (ECG) is a non-invasive technique which is used as a diagnostic tool for cardiac diseases. Non-stationarity and irregu- larity of heartbeat signal imposes many difficulties to clinicians (e.g., in the case of myocardial infarction arrhythmia). Fortunately, signal processing algorithms can expose hidden information within ECG signal contaminated...
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Carbon nanotube based dielectric spectroscopy of tumor secretion; electrochemical lipidomics for cancer diagnosis
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Association between Age at Diagnosis of Graves' Disease and Variants in Genes Involved in Immune Response
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Enhancing Breast Cancer Diagnosis: A CNN-Based Approach for Medical Image Segmentation and Classification
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Enhancing Facial Palsy Treatment through Artificial Intelligence: From Diagnosis to Recovery Monitoring
PublicationThe objective of this study is to develop and assess a mobile application that leverages artificial intelligence (AI) to support the rehabilitation of individuals with facial nerve paralysis. The application features two primary functionalities: assessing the paralysis severity and facilitating the monitoring of rehabilitation exercises. The AI algorithm employed for this purpose was Google's ML Kit “face-detection”. The classification...
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A Biased-Randomized Iterated Local Search Algorithm for Rich Portfolio Optimization
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Microcrack monitoring and fracture evolution of polyolefin and steel fibre concrete beams using integrated acoustic emission and digital image correlation techniques
PublicationThe use of polymer and steel fibres in plain concrete appears to be an excellent solution for limiting crack propagation and improving the post-ductility performance of concrete structures. Based on this premise, this study investigated the fracture evolution of polyolefin fibre-reinforced concrete (PFRC) and steel fibre-reinforced concrete (SFRC) specimens through the integrated application of two diagnostic techniques, acoustic...
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Set-Bounded joined parameter and state estimation for model predictive control of integrated wastewater treatment plant systems at medium time scale.
PublicationW artykule opisano moduł łącznej estymacji w postaci zbiorów ograniczonych (ang. set-bounded) parametrów i stanu systemu dla potrzeb sterowania predykcyjnego zintegrowanym systemem ściekowym w średniej skali czasu. Jest to jeden ze składowych elementów Inteligentnej Hierarchicznej Struktury Sterowania opracowanej w celu pokonania następujących problemów, które występują w kontrolowanym systemie: różne skale czasowe procesów, silnie...
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Sylwester Kaczmarek dr hab. inż.
PeopleSylwester Kaczmarek received his M.Sc in electronics engineering, Ph.D. and D.Sc. in switching and teletraffic science from the Gdansk University of Technology, Gdansk, Poland, in 1972, 1981 and 1994, respectively. His research interests include: IP QoS and GMPLS and SDN networks, switching, QoS routing, teletraffic, multimedia services and quality of services. Currently, his research is focused on developing and applicability...
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Analysis of the instantaneous power signal for bearing diagnostics -bearing damaged
Open Research DataThe attached dataset contains the measurement results of the instantaneous values of current and voltage, recorded during the diagnostics of a damaged bearing. Bearing diagnostics can be carried out based on the method, which relies on the measurement and analysis of the variability of the signal instantaneous power, defined as the product of instantaneous...
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Analysis of the instantaneous power signal for bearing diagnostics - bearing undamaged
Open Research DataThe attached dataset contains the measurement results of the instantaneous values of current and voltage, recorded during the diagnostics of an undamaged bearing. Bearing diagnostics can be carried out based on the method, which relies on the measurement and analysis of the variability of the signal instantaneous power, defined as the product of instantaneous...
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Damage Detection Using Cointegration Technique and Wavelet Analysis of the Post-Cointegrated Lamb Waves
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Michał Michna dr hab. inż.
PeopleMichal Michna received the M.Sc. and Ph.D. degrees in electrical engineering from the Gdansk University of Technology (GUT), Gdansk, Poland, in 1998 and 2005, respectively. Since 2004, he was employed at the Department of Power Electronics and Electrical Machines of the Gdańsk University of Technology (assistant, assistant professor, senior lecturer). In 2010-2015 he was a deputy of head of the Department of Power Electronics and...
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Rozpraszanie ramanowskie w diagnostyce procesów syntezy materiałów cienkowarstwowych dla zastosowań opto- i mikroelektronicznych
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Application a laboratory stand for multi-symptoms tests for high cyclic fatigue of constructional material
PublicationThis paper describes a need of diagnostics present ship plants according to current technical state. In order to reach competent physical quantity describing fatigue of materials by congregated energy. This paper describes using some diagnostics methods (acoustic emission AE, vibration, thermovision, deformation) in order to definition fatigue state of construction material. The author tries to find correlation between measured...
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Brain-dead and coma patients exhibit different serum metabolic profiles: preliminary investigation of a novel diagnostic approach in neurocritical care
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Rozdział 6. Epidemiologia molekularna - nowe metody typowania diagnostycznego mikroorganizmów = Molecular epidemiology new methods for diagnostic typing of microorganismus
PublicationMolekularne metody diagnostyczne oparte o analizę kwasów nukleinowych dają nowe możliwości laboratoriom w szybkim wykrywaniu i różnicowaniu mikroorganizmów patogennych. W pracy przedstawiono panujące tendencje w zastosowaniach metod typowania genetycznego znaczących klinicznie mikroorganizmów w Europie, a także omówiono niektóre techniki stosowane w laboratoriach mikrobiologicznych, z uwzględnieniem ich zdolności aplikacyjnych,...
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Steroid profiles as potential biomarkers in patients with urogenital tract cancer for diagnostic investigations analyzed by liquid chromatography coupled to mass spectrometry
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Correction to: Plasma free amino acid profiling as metabolomic diagnostic and prognostic biomarker in paediatric cancer patients: a follow-up study
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Diagnostic Analysis of Exhaust Gas with A Quick-Changing Temperature from a Marine Diesel Engine Part II / Two Factor Analysis
PublicationThe article presents a continuation of research carried out to determine the effect of input parameters (changes in engine structure parameters) on selected output parameters (diagnostic measures), based on quickly changing exhaust gas temperature. A method of determining the simultaneous influence of two input factors (the structure parameter and the engine load) on one output factor was presented, as well as an evaluation...
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Integrated Data Environments Australia Workshop
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Revista Iberoamericana de Diagnostico y Evaluacion-e Avaliacao Psicologica
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Andrzej Czyżewski prof. dr hab. inż.
PeopleProf. zw. dr hab. inż. Andrzej Czyżewski jest absolwentem Wydziału Elektroniki PG (studia magisterskie ukończył w 1982 r.). Pracę doktorską na temat związany z dźwiękiem cyfrowym obronił z wyróżnieniem na Wydziale Elektroniki PG w roku 1987. W 1992 r. przedstawił rozprawę habilitacyjną pt.: „Cyfrowe operacje na sygnałach fonicznych”. Jego kolokwium habilitacyjne zostało przyjęte jednomyślnie w czerwcu 1992 r. w Akademii Górniczo-Hutniczej...
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On the possibility of the application of magnetoacoustic emission intensity measurements for the diagnosis of thick-walled objects in the industrial environment
PublicationArtykuł przedstawia wyniki pomiarów sygnału emisji magnetoakustycznej (EMA) wykonanych na obiektach grubościennych w środowisku przemysłowym oraz omawia możliwe sposoby jego dalszej analizy. Pomimo tego, ze bezpośredni pomiar sygnału EMA nie pozwala na określenie jego natężenia w artykule wykazano, że możliwa jest separacja użytecznego sygnału od szumów tła albo poprzez analogowe filtrowanie sprzętowe albo poprzez cyfrową analizę...
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Selected aspects of traction transformer diagnosis based on analysis of power looses in windings and the iron core
PublicationW rozdziale przedstawiono metodę diagnostyki detekcji uszkodzeń wewnętrznych uzwojeń transformatora trakcyjnego oparta na analizie strat mocy rozpraszanej wewnątrz transformatora. Straty mocy są powiekszane o szereg czynników świadczacych o uszkodzeniu transformatora takich jak: zwarcia zwojowe, asymetria uzwojeń, relaksacja naprężeń na stykach połaczeń, uszkodzenie izolacji pomiedzy blachami rdzenia itp. Proponowana metoda dokonuje...
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Probability measures of likelihood of diagnosis of the technical state of main combustion engines of sea-going ships
PublicationW artykule uzasadniono potrzebę rozróżniania pojęć wiarygodności diagnozy i trafności diagnozy przy podejmowaniu decyzji eksploatacyjnych. Wyprowadzono wzór na prawdopodobieństwo sformułowania prawidłowej diagnozy jako miary wiarygodności diagnozy. Do wyprowadzenia tego wzoru zastosowano teorię procesów semimarkowskich oraz wzór Bayesa na prawdopodobieństwo warunkowe. Podano także inne probabilistyczne miary wiarygodności diagnozy....
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The optimal mixture of Toxoplasma gondii recombinant antigens (GRA1, P22, ROP1) for diagnosis of ovine toxoplasmosis
PublicationToxoplasmosis, caused by Toxoplasma gondii, is the major parasitic disease affecting sheep. Infection not only results in significant reproductive losses in these animals, but has public health implications since consumption of infected meat can facilitate zoonotic transmission. Although several serological tests are currently used for diagnosis of ovine toxoplasmosis, production of reliable reagents is a constraint and therefore...
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Performance of the AMOEBA Water Model in the Vicinity of QM Solutes: A Diagnosis Using Energy Decomposition Analysis
PublicationThe importance of incorporating solvent polarization effects into the modeling of solvation processes has been well-recognized, and therefore a new generation of hybrid quantum mechanics/molecular mechanics (QM/MM) approaches that accounts for this effect is desirable. We present a fully self-consistent, mutually polarizable QM/MM scheme using the AMOEBA force field, in which the total energy of the system is variationally minimized...
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Perception of Pathologists in Poland of Artificial Intelligence and Machine Learning in Medical Diagnosis—A Cross-Sectional Study
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POEMS Syndrome: Real World Experience in Diagnosis and Systemic Therapy - 108 Patients Multicenter Analysis
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Condition monitoring and fault diagnosis of wind turbines based on structural break detection in SCADA data
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PHYSICAL MODEL OF ENERGY-RELATED PROCESSES IN A ROTATING MECHANICAL SYSTEM FOR THE PURPOSES OF DIAGNOSIS OF TRANSMISSION SHAFTS
PublicationIn the present article, selected problems connected with identification of slowly changing energy-related processes accompanying high cyclic fatigue of construction materials of simple mechanical systems, with special consideration of transmission shafts, are mentioned for diagnostic purposes. The article also presents physical models of object and processes that in a simplified way reflect mechanical energy transmission from transmission...
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Novel Investigation of Higher Order Spectral Technologies for Fault Diagnosis of Motor-Based Rotating Machinery
PublicationIn the last decade, research centered around the fault diagnosis of rotating machinery using non-contact techniques has been significantly on the rise. For the first time worldwide, innovative techniques for the diagnosis of rotating machinery, based on electrical motors, including generic, nonlinear, higher-order cross-correlations of spectral moduli of the third and fourth order (CCSM3 and CCSM4, respectively), have been comprehensively...
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Expert System and Decision Support System for Electrocardiogram Interpretation and Diagnosis: Review, Challenges and Research Directions
PublicationElectrocardiography (ECG) is one of the most widely used recordings in clinical medicine. ECG deals with the recording of electrical activity that is generated by the heart through the surface of the body. The electrical activity generated by the heart is measured using electrodes that are attached to the body surface. The use of ECG in the diagnosis and management of cardiovascular disease (CVD) has been in existence for over...
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Fast Real-Time RDFT- and GDFT-Based Direct Fault Diagnosis of Induction Motor Drive
PublicationThis paper presents the theoretical analysis and experimental verification of a direct fault harmonic identification approach in a converter-fed electric drive for automated diagnosis purposes. On the basis of the analytical model of the proposed real-time direct fault diagnosis, the fault-related harmonic component is calculated using recursive DFT (RDFT) and Goertzel DFT (GDFT), applied instead of the full spectrum calculations...
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Fault diagnosis in electronic circuits based on bilinear transformation in 3-D and 4-D spaces
PublicationPrzedstawiono ideę nowych metod diagnostycznych 3-D i 4-D opartych na przek-ształceniu biliniowym. Metody te bazują na transformacjach operujących odpo-wiednio w trzy i czterowymiarowych przestrzeniach funkcji układowych. Dlatych metod omówiono algorytm lokalizacji i identyfikacji pojedynczych uszko-dzeń parametrycznych w liniowych układach elektronicznych oraz algorytm lo-kalizacji i identyfikacji pojedynczych uszkodzeń...
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Some methods of diagnosis of analog circuit using mixed signal test bus IEEE 1149.4
PublicationW artykule przedstawiono wybrane metody testowania i diagnostyki analogowych układów elektronicznych zamontowanych na pakiecie pomiędzy układami scalonymi wyposażonymi w magistralę IEEE 1149.4. Prezentowane metody dobrano pod kątem stopnia skomplikowania układów testowanych oraz specyficznych właściwości metrologicznych magistrali, które ograniczają możliwości pomiarowe i aplikacyjność metod. Rozważono trzy typy układów testowanych:...
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Grey wolf optimizer integrated within boosting algorithm: Application in mechanical properties prediction of ultra high-performance concrete including carbon nanotubes
PublicationNowadays, the construction industry has increasingly recognized the superior performance characteristics of ultra high-performance concrete (UHPC). Known for its exceptional durability and high tensile strength, UHPC material is revolutionizing structure standards subjected to extreme environmental conditions and heavy loads. This paper explores the enhancement of UHPC with nano- and micromaterials, employing advanced machine-learning...
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A Novel Iterative Decoding for Iterated Codes Using Classical and Convolutional Neural Networks
PublicationForward error correction is crucial for communication, enabling error rate or required SNR reduction. Longer codes improve correction ratio. Iterated codes offer a solution for constructing long codeswith a simple coder and decoder. However, a basic iterative code decoder cannot fully exploit the code’s potential, as some error patterns within its correction capacity remain uncorrected.We propose two neural network-assisted decoders:...
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Non-destructive Diagnostics of the Floor in the Gdańsk Crane Using Ground Penetrating Radar = Diagnostyka nieniszcząca posadzki w gdańskim Żurawiu z zastosowaniem metody georadarowej
PublicationThis paper presents the results of a ground penetrating radar (GPR) survey carried out at the Crane in Gdańsk. The measurements were conducted on the floor of the southern and northern towers. The aim of the experiment is to assess the possibility of detecting anomalies beneath the floor. The surveys were carried out in a non-destructive manner, using a georadar unit with 2 GHz and 400/900 MHz antennas. This paper compares the...
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Jerzy Głuch dr hab. inż.
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Structural Integrity and Life-Integritet I Vek Konstrukcija
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THIRD-ORDER EXPONENTIAL INTEGRATOR FOR LINEAR KLEIN–GORDON EQUATIONS WITH TIME AND SPACE-DEPENDANT MASS
PublicationAllowing for space- and time-dependance of mass in Klein–Gordon equations re- solves the problem of negative probability density and of violation of Lorenz covariance of interaction in quantum mechanics. Moreover it extends their applicability to the domain of quantum cosmology, where the variation in mass may be accompanied by high oscillations....
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THIRD-ORDER EXPONENTIAL INTEGRATOR FOR LINEAR KLEIN–GORDON EQUATIONS WITH TIME AND SPACE-DEPENDANT MASS
PublicationAllowing for space- and time-dependance of mass in Klein–Gordon equations re- solves the problem of negative probability density and of violation of Lorenz covariance of interaction in quantum mechanics. Moreover it extends their applicability to the domain of quantum cosmology, where the variation in mass may be accompanied by high oscillations....
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Zagadnienie bilansowania obiegu cieplnego z zastosowaniem rachunku wyrównawczego w diagnostyce okrętowych turbinowych silników spalinowych
PublicationPrzedstawiono metodę określania niedostępnych pomiarowo parametrów stosowanych w diagnozowaniu okrętowych turbinowych silników spalinowych. Na przykładzie silnika jednowirnikowego pokazano parametry sygnału diagnostycznego. Przedstawiono wstępne szacowanie parametrów w bilansowaniu obiegu jednowirnikowego turbinowego silnika spalinowego. Pokazano przykładowe wyniki obliczeń sprawności termicznej komory spalania z wykorzystaniem...
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Metoda georadarowa w diagnostyce betonowych obiektów mostowych wzdłuż linii Pomorskiej Kolei Metropolitalnej w Gdańsku
PublicationW pracy przedstawiono badania doświadczalne metodą georadarową betonowych obiektów mostowych wzdłuż nowopowstałej linii Pomorskiej Kolei Metropolitalnej (PKM) w Gdańsku. Przedmiotem badań był wiadukt drogowy, ramowo łukowa oraz ramowa kładka dla pieszych. Pomiary wykonano za pomocą zestawu georadarowego Alladin z anteną o częstotliwości emitowanej fali równej 2 GHz. W artykule opisano także podstawy teoretyczne metody georadarowej...
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Spektroskopia szumowa. Część II. Badania przyrządów półprzewodnikowych, szumy elektrochemiczne i emisja akustyczna w diagnostyce.
PublicationPrzedstawiono wyniki pomiaru szumów 1/f tranzystorów z GaAs i ich analizę w spektroskopii. Opisano procedurę klasyfikacji na grupy o zróżnicowanej jakości półprzewodnikowych elementów mocy na podstawie wyników pomiaru szumów małoczęstotliwościowych. Szumy elektrochemiczne stanowią dogodne narzędzie do analizy korozji, zwłaszcza korozji wżerowej. Przedstawiono wyniki pomiaru szumów ogniw słonecznych i ich porównanie z analizą niejednorodności...