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Search results for: object detection, remote sensing images, optical images, machine learning, neural network, cnn, deep learning
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UAV Survey Images - orthophotomap - Gdynia Container Terminal Day Light- MP2
Open Research DataDataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Container Terminal - day light photosLocation: Gdynia, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: Single GridTarget Product: OrthophotoDate: 15.10.2020Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description and position includedGCP...
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UAV Survey Images - orthophotomap - Gdynia Chwaszczyno - MP1 - AGL 50 m
Open Research DataDataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Chwaszczyno district Location: Gdynia, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single GridTarget Product: OrthophotoDate: 11.07.2019Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description and position includedGCP Quality:...
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UAV Survey Images - orthophotomap - Gdynia Container Terminal Night Time- MP2
Open Research DataDataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Container Terminal - night artificial photosLocation: Gdynia, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: Single GridTarget Product: OrthophotoDate: 14.10.2020Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description and position...
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UAV Survey Images - orthophotomap - Gdynia Chwaszczyno - MP1 - AGL 100 m
Open Research DataDataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Chwaszczyno district Location: Gdynia, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single GridTarget Product: OrthophotoDate: 11.07.2019Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description and position includedGCP Quality:...
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X-ray images of Baltic herring. Data analysis
Open Research DataBased on the developed methodology for the: (i) optimal method of catching, (ii) transporting and storing fish, (iii) measuring and (iv) analyzing X-rays images, the existing collection of X-ray images of Baltic herring, caught in October 2002 during the Swedish component of the Baltic International Acoustic Survey (BIAS) in the Baltic proper (ICES...
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Introduction to the ONDM 2022 special issue
PublicationThis JOCN special issue contains extended versions of selected papers presented at the 26th International Conference on Optical Network Design and Modeling (ONDM 2022), which took place 16–19 May 2022 at Warsaw University of Technology, Warsaw, Poland. The topics covered by the papers represent trends in optical networking research: application of machine learning to network management, cross-layer network performance optimization,...
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Terrestrial Laser Scan and Survey Images - 3D Model - Simulated Car Accident - MP1 - Reigl
Open Research DataDataset description: Raw images from photogrammetric and terresttial laser scaning survey. Object: Simulated Car AccidentLocation: Puck Pomorskie, PolandDrone type: DJI Mavic Pro 1Flight plan: Circle | Point Of InterestTarget Product: 3D ModelDate: 07.07.2017Direct georeferencing: yesMetadata data: Yes/GPSGCP: Yes - some targets on the object are marked...
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Moving object detection and tracking for the purpose of multimodal surveillance system in urban areas
PublicationBackground subtraction method based on mixture of Gaussians was employed to detect all regions in a video frame denoting moving objects. Kalman filters were used for establishing relations between the regions and real moving objects in a scene and for tracking them continuously. The objects were represented by rectangles. The objects coupling with adequate regions including the relation of many-to-many was studied experimentally...
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Terrestrial Laser Scan and Survey Images - 3D Model - Palm House - MP1 - Leica
Open Research DataDataset description: Raw images from photogrammetric and terresttial laser scaning survey. Object: Palm House in Gdansk Oliwa ParkLocation: Gdansk, Pomorskie, PolandDrone type: DJI Mavic Pro 1Flight plan: Circle | Point Of InterestTarget Product: 3D ModelDate: 06.11.2018Direct georeferencing: yesMetadata data: Yes/GPSGCP: NoCamera Name: DJI FC220Lasser...
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Luminescent optical fibre sensor for UV-A detection
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Increasing the Geometrical and Interpretation Quality of Unmanned Aerial Vehicle Photogrammetry Products Using Super-Resolution Algorithms
PublicationUnmanned aerial vehicles (UAVs) have now become very popular in photogrammetric and remote-sensing applications. Every day, these vehicles are used in new applications, new terrains, and new tasks, facing new problems. One of these problems is connected with flight altitude and the determined ground sample distance in a specific area, especially within cities and industrial and construction areas. The problem is that a safe flight...
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Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System
PublicationMonitoring plays an important role in advanced control of complex dynamic systems. Precise information about system's behaviour, including faults detection, enables efficient control. Proposed method- Kernel Principal Component Analysis (KPCA), a representative of machine learning, skilfully takes full advantage of the well known PCA method and extends its application to nonlinear case. The paper explains the general idea of KPCA...
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Adaptive Hounsfield Scale Windowing in Computed Tomography Liver Segmentation
PublicationIn computed tomography (CT) imaging, the Hounsfield Unit (HU) scale quantifies radiodensity, but its nonlinear nature across organs and lesions complicates machine learning analysis. This paper introduces an automated method for adaptive HU scale windowing in deep learning-based CT liver segmentation. We propose a new neural network layer that optimizes HU scale window parameters during training. Experiments on the Liver Tumor...
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Study on Combined Optical and Electrochemical Analysis Using Indium-tin-oxide-coated Optical Fiber Sensor
PublicationThe growing needs for fast and reliable sensing devices stimulate development of new technological solutions. In this work a new multi-domain sensing method is demonstrated where optical sensing device has been applied to enhance amount of data received during electrochemical analysis. Thin, optically transparent, high-refractive-index, and electrically conductive indium tin oxide (ITO) film was deposited using magnetron sputtering...
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Calibration images under different lighting conditions vol. 2
Open Research DataDataset description: Calibration images under different lighting conditions vol. 1
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Journal of Object Technology
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UAV Survey Images - orthophotomap - Gdynia Container Terminal Night Time- MP1
Open Research DataDataset description: Raw images from photogrammetric survey. Object: Parking place near by Gdynia Container Terminal - night artificial light photosLocation: Gdynia, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single Grid - free flightTarget Product: OrthophotoDate: 14.10.2020Direct georeferencing: yesMetadata data: yes/GPSGCP: Yes - Description...
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The Empirical Application of Automotive 3D Radar Sensor for Target Detection for an Autonomous Surface Vehicle’s Navigation
PublicationAvoiding collisions with other objects is one of the most basic safety tasks undertaken in the operation of floating vehicles. Addressing this challenge is essential, especially during unmanned vehicle navigation processes in autonomous missions. This paper provides an empirical analysis of the surface target detection possibilities in a water environment, which can be used for the future development of tracking and anti-collision...
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The processing of staphylococcal biofilm images from Fluorescence and Confocal Microscopy to assess in vitro efficacy of antiseptic molecules
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International conference “Images of Europe in Transition”, Kiev/Ukraine, 25th-26th november 2016 Conference report
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Architectural Space of Ideas in the Author’s Structures Presented at the Fire Painted Images Art Festival: A Case Study
PublicationThe article is aimed to discuss the place of architecture in the space of ideas. The present work discusses a specific place, the Zaspa housing estate in Gdańsk, and refers to a specific person, namely, the author of artistic installations tem- porarily exhibited in the Zaspa housing estate. Also, the wider context of the specific situations in which the exhibitions were...
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UAV Survey Images - 3D Model - Gdansk Church Pw. Św. Wojciecha - MP2
Open Research DataDataset description: Raw images from photogrammetric survey. Object: Kościół Rzymskokatolicki Pw. Św. WojciechaLocation: Gdansk, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: Circle (Point Of Interest) + Free flightTarget Product: 3D ModelDate: 02.04.2022Direct georeferencing: yesMetadata data: yes/GPSGCP: YESGCP Quality: RTKCamera Name:...
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Artificial Neural Network based fatigue life assessment of riveted joints in AA2024 aluminum alloy plates and optimization of riveted joints parameters
PublicationThe objective of this paper is to provide the fatigue life of riveted joints in AA2024 aluminum alloy plates and optimization of riveted joints parameters. At first, the fatigue life of the riveted joints in AA2024 aluminum alloy plates is obtained by experimental tests. Then, an artificial neural network is applied to estimate the fatigue life of riveted lap joints based on the number of lateral and longitudinal holes, punch pressure,...
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SEM images of biosorbents (CC) after DES impregnation
Open Research DataSEM images of biosorbents (CC) after DES impregnation
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Machine Design 2
e-Learning CoursesMachine Design 2, what else?
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Creating a Remote Choir Performance Recording Based on an Ambisonic Approach
PublicationThe aim of this paper is three-fold. First, the basics of binaural and ambisonic techniques are briefly presented. Then, details related to audio-visual recordings of a remote performance of the Academic Choir of the Gdańsk University of Technology are shown. Due to the COVID-19 pandemic, artists had a choice, namely, to stay at home and not perform or stay at home and perform. In fact, staying at home brought in the possibility...
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High-Resolution, Broad-Range Detection Setup for Polarimetric Optical Fiber Sensors
PublicationA common-path polarization interferometer using a Wollaston prism and an area detector for the measurement of retardation or optical path difference is presented. Employing a moderate-resolution 1280 by 1024 pixel monochrome camera, it offers a measurement range of approximately 780 radians at 830 nm and 1350 radians at 515 nm while maintaining a high measurement resolution. Retardation introduced by a zero-order waveplate or a...
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Estimation of object size in the calibrated camera image = Estymacja rozmiaru obiektów w obrazach ze skalibrowanej kamery
PublicationIn the paper, a method of estimation of the physical sizes of the objects tracked by the camera is presented. First, the camera is calibrated, then the proposed algorithm is used to estimate the real width and height of the tracked moving objects. The results of size estimation are then used for classification of the moving objects. Two methods of camera calibration are compared, test results are presented and discussed. The proposed...
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Becoming a Learning Organization Through Dynamic Business Process Management
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An A-Team Approach to Learning Classifiers from Distributed Data Sources
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An A-Team approach to learning classifiers from distributed data sources
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Employing a biofeedback method based on hemispheric synchronization in effective learning
PublicationIn this paper an approach to build a brain computer-based hemispheric synchronization system is presented. The concept utilizes the wireless EEG signal registration and acquisition as well as advanced pre-processing methods. The influence of various filtration techniques of EOG artifacts on brain state recognition is examined. The emphasis is put on brain state recognition using band pass filtration for separation of individual...
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Scheduling Repetitive Construction Processes Using the Learning-Forgetting Theory
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Meta-Design and the Triple Learning Organization in Architectural Design Process
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Digital competence learning in secondary adult education in Finland and Poland
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Building the Learning Environment for Sustainable Development: a Co-creation approach
PublicationEducation for sustainable development supports the improvement of knowledge, skills, attitudes and behaviors related to global challenges such as climate change, global warming and environmental degradation, among others. It is increasingly taking place through projects based on information and communication technologies. The effectiveness of the actions taken depends not only on the quality of the project activities or the...
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Beyond Traditional Learning: The LLM Revolution in BPM Education at University
PublicationLarge Language Models (LLMs) significantly impact higher education, requiring changes in educational processes, especially in Business Process Management (BPM) practical exercises. The research aims to evaluate the effectiveness of LLMs in BPM education to determine if LLMs can supplement educators. The study involved 33 master’s degree students. Students’ works were manually evaluated and compared to LLM-generated responses. Results...
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Didaktische simulationsmodelle fur E-learning in der IK-ausbildung.
PublicationPrzedstawiono dydaktyczne modele symulacyjne wykorzystywane w zdalnym kształceniu z zakresu informatyki i technik komunikacyjnych. Pokazano na przykładach zbudowanych symulatorów, w jaki sposób zrealizować lub dostosować modele symulacyjne do zdalnego nauczania. Opisano doświadczenia autorów w wykorzystaniu modeli symulacyjnych w zdalnym nauczaniu.
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Applying artificial neural networks for modelling ship speed and fuel consumption
PublicationThis paper deals with modelling ship speed and fuel consumption using artificial neural network (ANN) techniques. These tools allowed us to develop ANN models that can be used for predicting both the fuel consumption and the travel time to the destination for commanded outputs (the ship driveline shaft speed and the propeller pitch) selected by the ship operator. In these cases, due to variable environmental conditions, making...
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Remote Sensing Methods In the Study of the Impact of Long-Term Process of Sulphur Mining on Environmental Changes of the Carpathian Foreland
PublicationThe paper presents research on the extent of impact of sulphur mining process and post-mining activities upon properties of selected elements of the environment, as well as the assessment of the influence of indirect effects resulting from many years' process of exploitation of sulphur deposits in the areas of the Carpathian Foreland (south-east Poland). Within the scope of research conducted, the assessment of the extent of...
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Experimental and Theoretical Insights into the Intermolecular Interactions in Saturated Systems of Dapsone in Conventional and Deep Eutectic Solvents
PublicationSolubility is not only a crucial physicochemical property for laboratory practice but also provides valuable insight into the mechanism of saturated system organization, as a measure of the interplay between various intermolecular interactions. The importance of these data cannot be overstated, particularly when dealing with active pharmaceutical ingredients (APIs), such as dapsone. It is a commonly used anti-inflammatory and...
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Computational complexity and length of recorded data for fluctuation enhanced sensing method in resistive gas sensors
PublicationThis paper considers complexity and accuracy of data processing for gas detection using resistance fluctuation data observed in resistance gas sensors. A few selected methods were considered (Principal Component Analysis – PCA, Support Vector Machine – SVM). Functions like power spectral density or histogram were used to create input data vector for these algorithms from the observed resistance fluctuations. The presented considerations...
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Data-driven models for fault detection using kernel pca:a water distribution system case study
PublicationKernel Principal Component Analysis (KPCA), an example of machine learning, can be considered a non-linear extension of the PCA method. While various applications of KPCA are known, this paper explores the possibility to use it for building a data-driven model of a non-linear system-the water distribution system of the Chojnice town (Poland). This model is utilised for fault detection with the emphasis on water leakage detection....
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Artificial-Neural-Network-Based Sensorless Nonlinear Control of Induction Motors
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An application of the TCRBF neural network in multi-node fault diagnosis method
PublicationPrzedstawiono nową metodę samo-testowania części analogowej w systemach elektronicznych sterowanych mikrokontrolerami. Układ badany pobudzany jest przebiegiem sinusoidalnym przez generator zamontowany w systemie, a jego odpowiedź jest próbkowana w wybranych węzłach przez wewnętrzny przetwornik A/C mikrokontrolera. Detekcja i lokalizacja uszkodzenia jest dokontwana przez sieć neuronową typu TCRBF. Procedurę diagnostyczną zaimplementowano...
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Ultracapacitor modeling and control with discrete fractional order artificial neural network
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Artificial neural network controller for underwater ship hull operation robot.
PublicationZaproponowano model matematyczny pojazdu podwodnego, który w uproszczonej wersji spełnia warunki dynamiki odpowiadające głowicy roboczej podwodnego robota. Uwzględniono niektóre czynniki oddziałujące na ruch podwodnej głowicy roboczej, jak np. gęstość wody oraz siły odśrodkowe i wypornościowe. Przedstawiono układ sterowania, w którym zastosowano regulator oparty na bazie sieci neuronowych, za pomocą którego można sterować...
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On thermal and Flow Expert Systems Based on Artificial Neural Network (ANN)
PublicationZaprezentowano możliwość realizacji jednego z zadań systemów eksperckich, polegającego na określaniu rozmiaru eksploatacyjnej degradacji parametrów geometrycznych układów łopatkowych turbin. Dyskusję przeprowadzono w oparciu o zastosowanie wybranego typu sztucznej sieci neuronowej (SSN). Badano jakość i dokładność polegającą na dobrej identyfikacji rozmiaru degradacji przez tę wybraną SSN wykrywającą rozmiar degradacji geometrycznej....
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Neural Network Application for Recognition of Geometry Degradation of Power Cycle Components
PublicationPrzedyskutowano problem rozpoznawania degradacji geometrycznej. Skuteczne zastosowanie wybranego typu sieci neuronowej (SSN) jest prezentowane w referacie. SSN wykrywająca typy degradacji geometrycznej wykazała wysoką jakość. Pokazano pewną możliwość ekstrapolacji takich SSN. Pokazano możliwość wykrywania typów degradacji geometrycznej nawet w przypadku pozyskiwania niepełnych danych pomiarowych.
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Artificial Neural Network-Based Sensorless Nonlinear Control Of Induction Motors
PublicationW niniejszym artykule przedstawiono strukturę sztucznej sieci neuronowej służącej do korygowania działania układu estymacji prędkości kątowej wirnika. Odtworzona prędkość kątowa wirnika zostały wykorzystane w bezczujnikowym układzie sterowania silnikiem indukcyjnym pracującym w zamkniętej pętli sprzężenia prędkościowego.Przedstawiono wyniki badań eksperymentalnych z silnikiem o mocy 1,1kW.