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Kulesza, Wlodek
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Olsson, A., Frånberg, O. & Kulesza, W. (2022). A New Method for As-built Burial Risk Assessment for Subsea Cables. In: SyNERGY MED 2022 - 2nd International Conference on Energy Transition in the Mediterranean Area, Proceedings: . Paper presented at 2nd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2022, Thessaloniki, 17 October 2021 through 19 October 2021. Institute of Electrical and Electronics Engineers (IEEE)
Öppna denna publikation i ny flik eller fönster >>A New Method for As-built Burial Risk Assessment for Subsea Cables
2022 (Engelska)Ingår i: SyNERGY MED 2022 - 2nd International Conference on Energy Transition in the Mediterranean Area, Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2022Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

A new method using burial measurements for risk assessment of subsea cable installations is proposed. Only methods comparing the design boundaries have previously been used to verify subsea cable installments. The disadvantage of utilizing design boundaries is the possibility of not fulfilling the risk requirements since the assumed burial depth of the cable and its measurement data can differ, leading to the challenge of assessing how the difference and its uncertainty affect burial risk. We proposed and tested the method for a scenario using seagoing vessel traffic data and sensor characteristics. The analysis is limited to white measurement noise but shows a deviation in risk estimation between the design-and measurement-based assessments. The presented result enables the approximation of the risk assessment for projects of varying specifications. The proposed statistical method is a less conservative way to assess the correct installment of a cable and possibly to evaluate verification specifications. © 2022 IEEE.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE), 2022
Nyckelord
AIS, Cable Burial, CBRA, Depth of Burial, Risk Assessment, Subsea Anchor Protection Assessment, Subsea cable measurement data analysis, Subsea High Voltage Cables, Risk perception, Specifications, Uncertainty analysis, High voltage cable, Measurement data analysis, Risks assessments, Subsea cables, Subseum anchor protection assessment, Subseum cable measurement data analyse, Subseum high voltage cable
Nationell ämneskategori
Farkostteknik
Identifikatorer
urn:nbn:se:bth-24050 (URN)10.1109/SyNERGYMED55767.2022.9941457 (DOI)2-s2.0-85142885332 (Scopus ID)9781665461078 (ISBN)
Konferens
2nd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2022, Thessaloniki, 17 October 2021 through 19 October 2021
Tillgänglig från: 2022-12-12 Skapad: 2022-12-12 Senast uppdaterad: 2023-03-03Bibliografiskt granskad
Dziak, D., Gradolewski, D., Witkowski, S., Kaniecki, D., Jaworski, A., Skakuj, M. & Kulesza, W. (2022). Airport Wildlife Hazard Management System - A Sensor Fusion Approach. Elektronika ir Elektrotechnika, 28(3), 45-53
Öppna denna publikation i ny flik eller fönster >>Airport Wildlife Hazard Management System - A Sensor Fusion Approach
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2022 (Engelska)Ingår i: Elektronika ir Elektrotechnika, ISSN 1392-1215, Vol. 28, nr 3, s. 45-53Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Aviation reports indicate that between 1988 and 2019 there were 292 human deaths and 327 injuries that had been reported from wildlife strikes with airplanes. To minimize these numbers, a new approach to airport Wildlife Hazard Management (WHM) is presented in the following article. The proposed solution is based on the data fusion of thermal and vision streams, which are used to improve the reliability and adaptability of the real-time WHM system. The system is designed to operate under all environmental conditions and provides advance information on the fauna presence on the airport runway. The proposed sensor fusion approach was designed and developed using user-driven design methodology. Moreover, the developed system has been validated in real-case scenarios and previously installed at an airport. Performed tests proved detection capabilities during day and night of dog-sized animals up to 300 meters. Moreover, by using machine learning algorithms during daylight, the system was able to classify person-sized objects with over 90 % efficiency up to 300 meters and dog-sized objects up to 200 meters. The general accuracy of the threat level based on the three safety zones was 94 %. © 2022 Kauno Technologijos Universitetas. All rights reserved.

Ort, förlag, år, upplaga, sidor
Kauno Technologijos Universitetas, 2022
Nyckelord
Image processing, Thermal sensors, User-driven design, Vision systems
Nationell ämneskategori
Inbäddad systemteknik
Identifikatorer
urn:nbn:se:bth-23548 (URN)10.5755/j02.eie.31418 (DOI)000838025400006 ()2-s2.0-85133737018 (Scopus ID)
Anmärkning

open access

Tillgänglig från: 2022-08-15 Skapad: 2022-08-15 Senast uppdaterad: 2022-08-30Bibliografiskt granskad
Olsson, A., Frånberg, O. & Kulesza, W. (2022). An Improvement of Assessing As-built Burial Risk for Subsea Cables. In: SyNERGY MED 2022 - 2nd International Conference on Energy Transition in the Mediterranean Area, Proceedings: . Paper presented at 2nd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2022, Thessaloniki, 17 October 2021 through 19 October 2021. Institute of Electrical and Electronics Engineers (IEEE)
Öppna denna publikation i ny flik eller fönster >>An Improvement of Assessing As-built Burial Risk for Subsea Cables
2022 (Engelska)Ingår i: SyNERGY MED 2022 - 2nd International Conference on Energy Transition in the Mediterranean Area, Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2022Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Available methods using the burial measurements to assess the subsea cable installations risks compare measurements to the design boundaries. The disadvantage of using this is that the assumed cable burial depths and their measurements can differ. However, it is unclear how the uncertainty in depth affects burial risk; hence, there is a need to verify the burial operations using a proper method to handle this aspect of risk reliability. We proposed a conservative cable burial scenario test, which evaluates the highest deviation between the measured risk and the design risk to indicate differences in risk based on the measurements. The result shows that the most significant deviation could be up to 55%. It proves that measurement uncertainty significantly affects the final risk evaluation. Moreover, this deviation in verifiable risk is not considered in today's boundary-level verification methodology. © 2022 IEEE.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE), 2022
Nyckelord
AIS, Cable Burial, CBRA, Depth of Burial, Risk Assessment, Subsea Anchor Protection Assessment, Subsea cable measurement data analysis, Subsea High Voltage Cables, High voltage cable, Measurement data analysis, Risks assessments, Subsea cables, Subseum anchor protection assessment, Subseum cable measurement data analyse, Subseum high voltage cable, Risk perception
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Identifikatorer
urn:nbn:se:bth-24051 (URN)10.1109/SyNERGYMED55767.2022.9941417 (DOI)2-s2.0-85142884490 (Scopus ID)9781665461078 (ISBN)
Konferens
2nd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2022, Thessaloniki, 17 October 2021 through 19 October 2021
Tillgänglig från: 2022-12-12 Skapad: 2022-12-12 Senast uppdaterad: 2023-03-03Bibliografiskt granskad
Gradolewski, D., Dziak, D., Kaniecki, D., Jaworski, A., Skakuj, M. & Kulesza, W. (2021). A runway safety system based on vertically oriented stereovision. Sensors, 21(4), 1-25, Article ID 1464.
Öppna denna publikation i ny flik eller fönster >>A runway safety system based on vertically oriented stereovision
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2021 (Engelska)Ingår i: Sensors, E-ISSN 1424-8220, Vol. 21, nr 4, s. 1-25, artikel-id 1464Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

In 2020, over 10,000 bird strikes were reported in the USA, with average repair costs exceeding $200 million annually, rising to $1.2 billion worldwide. These collisions of avifauna with airplanes pose a significant threat to human safety and wildlife. This article presents a system dedicated to monitoring the space over an airport and is used to localize and identify moving objects. The solution is a stereovision based real-time bird protection system, which uses IoT and distributed computing concepts together with advanced HMI to provide the setup’s flexibility and usability. To create a high degree of customization, a modified stereovision system with freely oriented optical axes is proposed. To provide a market tailored solution affordable for small and medium size airports, a user-driven design methodology is used. The mathematical model is implemented and optimized in MATLAB. The implemented system prototype is verified in a real environment. The quantitative validation of the system performance is carried out using fixed-wing drones with GPS recorders. The results obtained prove the system’s high efficiency for detection and size classification in real-time, as well as a high degree of localization certainty. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Ort, förlag, år, upplaga, sidor
MDPI, 2021
Nyckelord
Bird monitoring, Bird strike, Distributed computing, Environmental sustainability, Internet of Things, Localization, Monitoring of avifauna, Runway safety, Safety system, Stereovision, Visual sensor network, Birds, Fixed wings, MATLAB, Bird protection systems, Degree of localization, Design Methodology, Quantitative validation, Real environments, Size classification, Stereo-vision system, Tailored Solutions, Aircraft accidents
Nationell ämneskategori
Robotteknik och automation Signalbehandling
Identifikatorer
urn:nbn:se:bth-21173 (URN)10.3390/s21041464 (DOI)000624684500001 ()2-s2.0-85100917246 (Scopus ID)
Anmärkning

open access

Tillgänglig från: 2021-03-04 Skapad: 2021-03-04 Senast uppdaterad: 2023-06-07Bibliografiskt granskad
Gradolewski, D., Dziak, D., Martynow, M., Kaniecki, D., Szurlej-Kielanska, A., Jaworski, A. & Kulesza, W. (2021). Comprehensive bird preservation at wind farms. Sensors, 21(1), 1-35, Article ID 267.
Öppna denna publikation i ny flik eller fönster >>Comprehensive bird preservation at wind farms
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2021 (Engelska)Ingår i: Sensors, E-ISSN 1424-8220, Vol. 21, nr 1, s. 1-35, artikel-id 267Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Wind as a clean and renewable energy source has been used by humans for centuries. However, in recent years with the increase in the number and size of wind turbines, their impact on avifauna has become worrisome. Researchers estimated that in the U.S. up to 500,000 birds die annually due to collisions with wind turbines. This article proposes a system for mitigating bird mortality around wind farms. The solution is based on a stereo-vision system embedded in distributed computing and IoT paradigms. After a bird’s detection in a defined zone, the decision-making system activates a collision avoidance routine composed of light and sound deterrents and the turbine stopping procedure. The development process applies a User-Driven Design approach along with the process of component selection and heuristic adjustment. This proposal includes a bird detection method and localization procedure. The bird identification is carried out using artificial intelligence algorithms. Validation tests with a fixed-wing drone and verifying observations by ornithologists proved the system’s desired reliability of detecting a bird with wingspan over 1.5 m from at least 300 m. Moreover, the suitability of the system to classify the size of the detected bird into one of three wingspan categories, small, medium and large, was confirmed. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Ort, förlag, år, upplaga, sidor
MDPI AG, 2021
Nyckelord
Artificial intelligence, Bird monitoring system, Distributed computing, Environmental sustainability, Monitoring of avifauna, Safety system, Stereo-vision, Vision system, Aircraft detection, Decision making, Electric utilities, Fixed wings, Stereo image processing, Stereo vision, Wind power, Wind turbines, Artificial intelligence algorithms, Component selection, Decision-making systems, Design approaches, Development process, Localization procedure, Renewable energy source, Stereo vision system, Birds, algorithm, article, avoidance behavior, bird, human, mortality, nonhuman, reliability, renewable energy, sound, vision, wind farm, wing
Nationell ämneskategori
Annan elektroteknik och elektronik
Identifikatorer
urn:nbn:se:bth-20993 (URN)10.3390/s21010267 (DOI)000606059700001 ()33401575 (PubMedID)2-s2.0-85099421498 (Scopus ID)
Anmärkning

open access

Tillgänglig från: 2021-02-01 Skapad: 2021-02-01 Senast uppdaterad: 2022-02-10Bibliografiskt granskad
Jachimzcyk, B., Tkaczyk, R., Piotrowski, T., Johansson, S. & Kulesza, W. (2021). IoT-based dairy supply chain: An ontological approach. Elektronika ir Elektrotechnika, 27(1), 71-83
Öppna denna publikation i ny flik eller fönster >>IoT-based dairy supply chain: An ontological approach
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2021 (Engelska)Ingår i: Elektronika ir Elektrotechnika, ISSN 1392-1215, Vol. 27, nr 1, s. 71-83Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Emerging digital transformation in industry is noticeable among others in Supply Chain Management (SCM). For instance, applying new-generation digitalized technologies in the Dairy Supply Chain (DSC) enables an increase of manufacturing productivity, improves planning and forecasting, and also enhances competitive capabilities according to Industry 4.0 assumptions. It is worth mentioning, that in modern DSC, high visibility of raw materials, components, products, and processes by all contributors on all stages of DSC is crucial. This article focuses on the transparency aspect of the DSC supported by IoT-based technologies enabling interoperability among all DSC participants. The paper addresses the problem of effective integration of heterogeneous data sources, i.e., deployed new technological IoT solutions with traditional SCM systems and a third-party software component. The main objective of this report is to propose the IoT-based DSC model comprising four chain stages: milk production, milk transportation, milk processing, and dairy products distribution. Moreover, the comprehensive DSC domain ontology as a knowledge model is formulated and described. The ontology aims on improvement of the DSC management efficiency by facilitating interoperability within DSC. The applicability of the proposed ontological model is verified using a sustainable-oriented case study, which estimates the environmental footprint at the milk transportation stage of the DSC. © 2021 Kauno Technologijos Universitetas. All rights reserved.

Ort, förlag, år, upplaga, sidor
Kauno Technologijos Universitetas, 2021
Nyckelord
Dairy value chain, Knowledge model, Semantic web, Supply chain management, Supply chain modelling, Visibility
Nationell ämneskategori
Företagsekonomi Produktionsteknik, arbetsvetenskap och ergonomi Transportteknik och logistik
Identifikatorer
urn:nbn:se:bth-21231 (URN)10.5755/j02.eie.27612 (DOI)000621642600008 ()2-s2.0-85101624827 (Scopus ID)
Anmärkning

open access

Electronic Components and Systems for European Leadership 783221

Tillgänglig från: 2021-03-12 Skapad: 2021-03-12 Senast uppdaterad: 2022-05-25Bibliografiskt granskad
Gradolewski, D., Maslowski, D., Dziak, D., Jachimczyk, B., Mundlamuri, S. T., Prakash, C. G. & Kulesza, W. (2020). A Distributed Computing Real-Time Safety System of Collaborative Robot. Elektronika ir Elektrotechnika, 26(2), 4-14
Öppna denna publikation i ny flik eller fönster >>A Distributed Computing Real-Time Safety System of Collaborative Robot
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2020 (Engelska)Ingår i: Elektronika ir Elektrotechnika, ISSN 1392-1215, Vol. 26, nr 2, s. 4-14Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Robotization has become common in modern factories due to its efficiency and cost-effectiveness. Lots of robots and manipulators share their workspaces with humans what could lead to hazardous situations causing health damage or even death. This article presents a real-time safety system applying the distributed computing paradigm for a collaborative robot. The system consists of detection/sensing modules connected with a server working as decision-making system. Each configurable sensing module pre-processes vision information and then sends to the server the images cropped to new objects extracted from a background. After identifying persons from the images, the decision-making system sends a request to the robot to perform pre-defined action. In the proposed solution, there are indicated three safety zones defined by three different actions on a robot motion. As identification method, state-of-the-art of Machine Learning algorithms, the Histogram of Oriented Gradients (HOG), Viola-Jones, and You Only Look Once (YOLO), have been examined and presented. The industrial environment tests indicated that YOLOv3 algorithm outperformed other solutions in terms of identification capabilities, false positive rate and maximum latency.

Ort, förlag, år, upplaga, sidor
Kauno Technologijos Universitetas, 2020
Nyckelord
Artificial intelligence, Collaborative robots, Neural networks, Safety system
Nationell ämneskategori
Signalbehandling Robotteknik och automation
Identifikatorer
urn:nbn:se:bth-19446 (URN)10.5755/j01.eie.26.2.25757 (DOI)000529319700001 ()2-s2.0-85086876420 (Scopus ID)
Anmärkning

open access

Tillgänglig från: 2020-05-14 Skapad: 2020-05-14 Senast uppdaterad: 2023-06-07Bibliografiskt granskad
Narri, V. & Kulesza, W. (2020). Performance Optimisation of Accelerated Tests: Simulation and Experimental Approach in Automotive Industry. In: Andriukaitis D.,Valinevicius A.,Sledevic T. (Ed.), Proceedings of the 2020 24th International Conference Electronics, ELECTRONICS 2020: . Paper presented at 24th International Conference Electronics, ELECTRONICS 2020, Palanga, Lithuania, 15 June 2020 through 17 June 2020. Institute of Electrical and Electronics Engineers Inc., Article ID 9141623.
Öppna denna publikation i ny flik eller fönster >>Performance Optimisation of Accelerated Tests: Simulation and Experimental Approach in Automotive Industry
2020 (Engelska)Ingår i: Proceedings of the 2020 24th International Conference Electronics, ELECTRONICS 2020 / [ed] Andriukaitis D.,Valinevicius A.,Sledevic T., Institute of Electrical and Electronics Engineers Inc. , 2020, artikel-id 9141623Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

This paper is focused on the performance evaluation of Accelerated Tests (AT), which are carried out in a rapid manner to estimate life-length of a Device Under Test (DUT). Manufacturers need to preform ATs on the prototype of the product to anticipate its reliability and lifetime. The requirements for higher reliability impose tests of DUT's materials and components in advance. ATs expose products to different stressing environments, which include Electrical Stress, Mechanical Vibration, Temperature Shock, Temperature Cycling, Humidity, and others. An AT profile consists of different parameters, which depend on the DUT, and the most common are: a type of stress, rate of change, stress extreme points. Although these tests are accelerated, they are still time consuming. Furthermore, for large and complex DUTs, the test reliability itself can be doubted due to the involved diversity and uncertainty. In this paper, different experimental methods are applied to optimize the virtual test parameters to obtain reliable results. © 2020 IEEE.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers Inc., 2020
Nyckelord
Industrial Electronics, Life Testing, Lifetime Estimation, Simulation, Design for testability, Reliability, Stresses, Vibrations (mechanical), Accelerated tests, Device under test, Electrical stress, Experimental approaches, Experimental methods, Performance optimisation, Temperature cycling, Test reliability, Testing
Nationell ämneskategori
Annan elektroteknik och elektronik
Identifikatorer
urn:nbn:se:bth-20545 (URN)10.1109/IEEECONF49502.2020.9141623 (DOI)2-s2.0-85091979236 (Scopus ID)9781728158686 (ISBN)
Konferens
24th International Conference Electronics, ELECTRONICS 2020, Palanga, Lithuania, 15 June 2020 through 17 June 2020
Tillgänglig från: 2020-10-16 Skapad: 2020-10-16 Senast uppdaterad: 2020-10-16Bibliografiskt granskad
Felgueiras, C., Costa, R., Alves, G. R., Viegas, C., Fidalgo, A., Marques, M. A., . . . Schlichting, L. C. (2019). A sustainable approach to laboratory experimentation. In: Gonzalez, MAC; Sedano, FJR; Llamas, CF; GarciaPenalvo, FJ (Ed.), TEEM'19: SEVENTH INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ECOSYSTEMS FOR ENHANCING MULTICULTURALITY: . Paper presented at 7th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM, Leon; Spain, 16 October 2019 through 18 October 2019 (pp. 500-506). Association for Computing Machinery
Öppna denna publikation i ny flik eller fönster >>A sustainable approach to laboratory experimentation
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2019 (Engelska)Ingår i: TEEM'19: SEVENTH INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ECOSYSTEMS FOR ENHANCING MULTICULTURALITY / [ed] Gonzalez, MAC; Sedano, FJR; Llamas, CF; GarciaPenalvo, FJ, Association for Computing Machinery , 2019, s. 500-506Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Sustainability is currently a general concern in society and in particular in the use of laboratories for educational purposes. Although laboratories are unavoidable facilities for education, they often produce waste resulting from students' experiments. To contribute for sustainable solutions in education, the use of remote laboratories instead of the traditional hands-on laboratories should be considered in every engineering course. It is precisely this aspect that is discussed in the current paper. Some comments about the importance of sustainability in education are made. Later, it is described the use of a remote laboratory named VISIR in a course held at the Polytechnic of Porto - School of Engineering, for the conduction of an electronic experiment named Schmitt Trigger. At the end, some comments about the contribution of this remote lab for sustainability in education, are provided. © 2019 ACM.

Ort, förlag, år, upplaga, sidor
Association for Computing Machinery, 2019
Nyckelord
Engineering education, Remote labs, Schmitt Trigger circuits, Sustainability in higher education, VISIR, Ecosystems, Laboratories, Sustainable development, Trigger circuits, Hands-on laboratories, Higher education, Remote laboratories, Schmitt trigger circuit, School of engineering, Sustainable solution, Distance education
Nationell ämneskategori
Signalbehandling Pedagogik Annan elektroteknik och elektronik
Identifikatorer
urn:nbn:se:bth-19010 (URN)10.1145/3362789.3362952 (DOI)000525516700077 ()2-s2.0-85075465239 (Scopus ID)9781450371919 (ISBN)
Konferens
7th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM, Leon; Spain, 16 October 2019 through 18 October 2019
Tillgänglig från: 2019-12-13 Skapad: 2019-12-13 Senast uppdaterad: 2020-04-30Bibliografiskt granskad
Gradolewski, D., Magenes, G., Johansson, S. & Kulesza, W. (2019). A Wavelet Transform-Based Neural Network Denoising Algorithm for Mobile Phonocardiography. Sensors, 19(4), Article ID 957.
Öppna denna publikation i ny flik eller fönster >>A Wavelet Transform-Based Neural Network Denoising Algorithm for Mobile Phonocardiography
2019 (Engelska)Ingår i: Sensors, E-ISSN 1424-8220, Vol. 19, nr 4, artikel-id 957Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Cardiovascular pathologies cause 23.5% of human deaths, worldwide. An auto-diagnostic system monitoring heart activity, which can identify the early symptoms of cardiac illnesses, might reduce the death rate caused by these problems. Phonocardiography (PCG) is one of the possible techniques able to detect heart problems. Nevertheless, acoustic signal enhancement is required since it is exposed to various disturbances coming from different sources. The most common denoising enhancement is based on the Wavelet Transform (WT). However, the WT is highly susceptible to variations in the noise frequency distribution. This paper proposes a new adaptive denoising algorithm, which combines WT and Time Delay Neural Networks (TDNN). The acquired signal is decomposed by means of the WT using the coif five-wavelet basis at the tenth decomposition level and then provided as input to the TDNN. Besides the advantage of adaptive thresholding, the reason for using TDNNs is their capacity of estimating the Inverse Wavelet Transform (IWT). The best parameters of the TDNN were found for a NN consisting of 25 neurons in the first and 15 in the second layer and the delay block of 12 samples. The method was evaluated on several pathological heart sounds and on signals recorded in a noisy environment. The performance of the developed system with respect to other wavelet-based denoising approaches was validated by the online questionnaire.

Ort, förlag, år, upplaga, sidor
MDPI, 2019
Nyckelord
adaptive filters, auscultation techniques, auto-diagnostic system, cardiovascular pathologies, Inverse Wavelet Transform (IWT), noise cancellation, signal denoising, Time Delay Neural Networks (TDNN)
Nationell ämneskategori
Signalbehandling
Identifikatorer
urn:nbn:se:bth-17760 (URN)10.3390/s19040957 (DOI)000460829200208 ()30813479 (PubMedID)
Anmärkning

open access

Tillgänglig från: 2019-04-04 Skapad: 2019-04-04 Senast uppdaterad: 2022-02-10Bibliografiskt granskad
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