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Search results for: DEEP BELIEF NETWORK
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CERGE-EI, 16th Annual Regional Research Competition “Reshaping financial systems - identifying the role of ICT in diffusion of financial innovations. Recent evidence from European countries”
ProjectsProject realized in Gdańsk University of Technology according to CERGE_GDN agreement from 2016-01-01
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The Effect of Cryogenic Treatment on Microstructure and Mechanical Response of AISI D3 Tool Steel Punches
PublicationRecently, deep cryogenic treatment is performed to improve the mechanical responses (wear, hardness, fatigue, and thermal conductivity) of various steel components. Researchers have tried to evaluate the eco-friendly and nontoxic process to optimize the parameters. Cold-shearing punches used to manufacture various holes that undergo severe impact loading and wear in the metal forming process. This study concerns the effect of soaking...
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Jacek Oskarbski dr hab. inż.
PeopleAssociate professor (D.SC.Eng.) in the Department of Civil Engineering at the Gdansk University of Technology. Main research areas are traffic modeling and forecasting, transport planning, intelligent transport systems, traffic engineering, and mobility management. A graduate of the University (1994). He worked as road planner in BPBK and Transprojekt Gdański Office (1993-1996). Pposition of assistant in the Highway Engineering...
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Reinforcement Learning Algorithm and FDTD-based Simulation Applied to Schroeder Diffuser Design Optimization
PublicationThe aim of this paper is to propose a novel approach to the algorithmic design of Schroeder acoustic diffusers employing a deep learning optimization algorithm and a fitness function based on a computer simulation of the propagation of acoustic waves. The deep learning method employed for the research is a deep policy gradient algorithm. It is used as a tool for carrying out a sequential optimization process the goal of which is...
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Podejście nauczycieli akademickich do rozwoju narzędzi e-learningowych na wyższych uczelniach technicznych
PublicationPlatforma edukacyjna na uczelni wyższej stała się już standardem. Jest wyznacznikiem nowoczesno- ści danej uczelni. Wpływa na jej konkurencyjność. Mimo to, istnieje przekonanie że środowisko nauczycieli akademickich nie jest gotowe do akceptacji nowych środków nauczania. Postanowiono zbadać ten problem. Artykuł zawiera odpowiedź na pytanie jaki stosunek do metod e-nauczania panuje wśród nauczycieli akademickich, nie posiadających...
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Detecting Objects of Various Categories in Optical Remote Sensing Imagery Using Neural Networks
PublicationThe effective detection of objects in remote sensing images is of great research importance, so recent years have seen a significant progress in deep learning techniques in this field. However, despite much valuable research being conducted, many challenges still remain. A lot of research projects focus on detecting objects of a single category (class), while correctly detecting objects of different categories is much harder. The...
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A Triplet-Learnt Coarse-to-Fine Reranking for Vehicle Re-identification
PublicationVehicle re-identification refers to the task of matching the same query vehicle across non-overlapping cameras and diverse viewpoints. Research interest on the field emerged with intelligent transportation systems and the necessity for public security maintenance. Compared to person, vehicle re-identification is more intricate, facing the challenges of lower intra-class and higher inter-class similarities. Motivated by deep...
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Architectural Modifications to Enhance Steganalysis with Convolutional Neural Networks
PublicationThis paper investigates the impact of various modifications introduced to current state-of-the-art Convolutional Neural Network (CNN) architectures specifically designed for the steganalysis of digital images. Usage of deep learning methods has consistently demonstrated improved results in this field over the past few years, primarily due to the development of newer architectures with higher classification accuracy compared to...
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Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models
PublicationThis work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) object buried in various dispersive soil media, and in different positions. The main contributions of this work are (i) development of a fast and accurate data driven surrogate modeling...
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Book Review
PublicationActing over the last three decades as an Editor and Associate Editor for a number of international journals in the general area of cybernetics and AI, as well as a Chair and Co-Chair of numerous conferences in this field, I have had the exciting opportunity to closely witness and to be actively engaged in the stimulating research area of machine learning and its important augmentation with deep learning techniques and technologies. From...
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Supporting Cybersecurity Compliance Assessment of Industrial Automation and Control System Components
PublicationThe chapter presents a case study demonstrating how security requirements of an Industrial Automation and Control System (IACS) component can be represented in a form of Protection Profile that is based on IEC 62443 standards and how compliance assessment of such component can be supported by explicitly representing a conformity argument in a form based on the OMG SACM meta-model. It is also demonstrated how an advanced argument...
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KCN Kompleks podwodny do obsługi nurkowań rekreacyjnych
ProjectsProject realized in Faculty of Ocean Engineering and Ship Technology from 2013-07-25
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Justyna Zander dr inż.
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Implementation of daylight design strategies in urban planning - barriers to application in Poland
PublicationThis paper reflects on studies done in the area of daylight design methods with regard to principles that can be applied in architecture and urban planning strategies. The paper addresses barriers to the application of new daylight design methods in urban planning, and in particular discusses current Polish building regulations in the context of daylight design. The results of the pilot study carried out among 82 participants show...
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Analysis of the objects images on the sea using Dempster-Shafer Theory
PublicationThe paper presents the concept of using aerial and satellite imagery or images coming from the marine radar to identify and track vessels at sea. The acquired data were subjected to a highly advanced image analysis. The development of remote sensing techniques allows to gain a huge amount of data. These data are useful information source however usually we have to use different data mining methods to gain interested information....
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Maria Jastrzębska dr hab.
PeopleMaria Jastrzębska is an employee of the Department of Finance. She is the author of over 170 publications, including 8 monographs - Financial Management of Municipalities. Theoretical aspects; Budgetary policy of local government units; Debt management of local government units; Finances of local government units; Risk management in the activity of local government units with special consideration of catastrophic risk (co-author...
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Joanna Rymaszewska prof. dr hab. n. med.
PeopleCV Joanna Rymaszewska Wroclaw University of Science and Technology, Wroclaw, Poland +48 601 98 26 24, joanna.rymaszewska@pwr.edu.pl orcid.org/0000-0001-8985-3592 2023 → Professor of Wroclaw University of Science and Technology (WUST), Poland 2011 → 2023 Professor of Wroclaw Medical University (WMU), PL 2016 → 2022 Head of the Department of Psychiatry, Wroclaw Medical University 2016 → 2022 Head of the Clinic of Psychiatry,...
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Automated Parking Management for Urban Efficiency: A Comprehensive Approach
PublicationEffective parking management is essential for ad-dressing the challenges of traffic congestion, city logistics, and air pollution in densely populated urban areas. This paper presents an algorithm designed to optimize parking management within city environments. The proposed system leverages deep learning models to accurately detect and classify street elements and events. Various algorithms, including automatic segmentation of...
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Mask Detection and Classification in Thermal Face Images
PublicationFace masks are recommended to reduce the transmission of many viruses, especially SARS-CoV-2. Therefore, the automatic detection of whether there is a mask on the face, what type of mask is worn, and how it is worn is an important research topic. In this work, the use of thermal imaging was considered to analyze the possibility of detecting (localizing) a mask on the face, as well as to check whether it is possible to classify...
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Equal Baseline Camera Array—Calibration, Testbed and Applications
PublicationThis paper presents research on 3D scanning by taking advantage of a camera array consisting of up to five adjacent cameras. Such an array makes it possible to make a disparity map with a higher precision than a stereo camera, however it preserves the advantages of a stereo camera such as a possibility to operate in wide range of distances and in highly illuminated areas. In an outdoor environment, the array is a competitive alternative...
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Opracowanie technologii spawania naprawczego szyn poddźwigowych A120 oraz badania nieniszczące jakości szyn w DCT w Porcie Północnym
PublicationEkspertyza dotyczy realizacji zlecenia związanego z naprawą spoin szyn poddźwigowych na terenie terminalu kontenerowego - Deep Water Terminal (DCT) w Porcie Północnym w Gdańsku. W ramach opracowania: 1. Wykonano badania ultradźwiękowe (UT) i magnetyczno-proszkowe (MT) spoin czołowych szyn poddźwigowych typu A120, według schematu dostarczonego przez firmę SKANSKA S.A. 2. Wykonano analizę wyników badań...
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An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
PublicationSentiment analysis is an automated approach which is utilized in process of analysing textual data to describe public opinion. The sentiment analysis has major role in creating impact in the day-to-day life of individuals. However, a precise interpretation of text still relies as a major concern in classifying sentiment. So, this research introduced Bidirectional Long Short Term Memory with Ranger AdaBelief Optimizer (Bi-LSTM RAO)...
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Risk Diagnosis and Management with BBN for Civil Engineering Projects during Construction and Operation
PublicationThe authors demonstrate how expert knowledge about the construction and operation phases combined with monitoring data can be utilized for the diagnosis and management of risks typical to large civil engineering projects. The methodology chosen for estimating the probabilities of risk elements is known as Bayesian Belief Networks (BBN). Using a BBN model one can keep on updating the risk event probabilities as the new evidence...
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Wojciech Gumiński dr inż.
PeopleWojciech Gumiński received his M.Sc. ad Ph.D. degrees from Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Poland in 1991 and 2003 respectively. His scientific and research interest include computer network architectures, communication protocols and digital signal processing. Hi participated as principal investigator in several projects including Future Internet Engineering, PL-LAB...
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Robert Burczyk mgr inż.
PeopleRobert Burczyk received Eng. degree and M. SC. Eng. degree in electronics and telecommunictions engineering in 2017 and 2018 successively with specialization in radiocommunication systems and networks. The subject of the dissertations was focused on Wireless Body Area Network (WBAN). Currently, he is a PhD student and an employee at the Department of Radiocommunication Systems and Networks, Gdansk University of Technology. His...
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Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
PublicationThe economic sustainability of aquifers across the world relies on accurate and rapid estimates of groundwater storage changes, but this becomes difficult due to the absence of insitu groundwater surveys in most areas. By closing the water balance, hydrologic remote sensing measures offer a possible method for quantifying changes in groundwater storage. However, it is uncertain to what extent remote sensing data can provide an...
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Badania krytycznych technologii dla podwodnego robota mobilnego dużej mocy z wielosensorowym zestawem rozpoznawczym
ProjectsProject realized in Faculty of Ocean Engineering and Ship Technology according to PBS1/B9/12/2012 agreement from 2012-12-18
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Musical Instrument Tagging Using Data Augmentation and Effective Noisy Data Processing
PublicationDeveloping signal processing methods to extract information automatically has potential in several applications, for example searching for multimedia based on its audio content, making context-aware mobile applications (e.g., tuning apps), or pre-processing for an automatic mixing system. However, the last-mentioned application needs a significant amount of research to reliably recognize real musical instruments in recordings....
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Euromicro International Conference on Parallel, Distributed and Network Based Processing
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Agnieszka Mikołajczyk-Bareła dr inż.
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Mohsan Ali Master of Science in Computer Science
PeopleMohsan Ali is a researcher at the University of the Aegean. He won the Marie-Curie Scholarship in 2021 in the field of open data ecosystem (ODECO) to pursue his PhD degree at the University of the Aegean. Currently, he is working on the technical interoperability of open data in the information systems laboratory; this position is funded by ODECO. His areas of expertise are open data, open data interoperability, data science, natural...
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Standardy Profesjonalnego Public Relations
Publication" Standardy przedstawiają wartości i pryncypia uzasadniające konieczność dokonywania odpowiednich wyborów. Public relations ma godzić interesy zleceniodawców, przedstawicieli mediów i różnych grup społeczeństwa, a przy tym pozostawać w zgodzie z normami etycznymi i odwoływać się do takich wartości jak szacunek, godność, rzetelność, uczciwość, prawda, wiarygodność, niezależność, lojalność i zaufanie. Opracowanie "Standardów profesjonalnego...
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Optymalizacja zasobów chmury obliczeniowej z wykorzystaniem inteligentnych agentów w zdalnym nauczaniu
PublicationRozprawa dotyczy optymalizacji zasobów chmury obliczeniowej, w której zastosowano inteligentne agenty w zdalnym nauczaniu. Zagadnienie jest istotne w edukacji, gdzie wykorzystuje się nowoczesne technologie, takie jak Internet Rzeczy, rozszerzoną i wirtualną rzeczywistość oraz deep learning w środowisku chmury obliczeniowej. Zagadnienie jest istotne również w sytuacji, gdy pandemia wymusza stosowanie zdalnego nauczania na dużą skalę...
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Service-based Resilience via Shared Protection in Mission-critical Embedded Networks
PublicationMission-critical networks, which for example can be found in autonomous cars and avionics, are complex systems with a multitude of interconnected embedded nodes and various service demands. Their resilience against failures and attacks is a crucial property and has to be already considered in their design phase. In this paper, we introduce a novel approach for optimal joint service allocation and routing, leveraging virtualized...
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Age Prediction from Low Resolution, Dual-Energy X-ray Images Using Convolutional Neural Networks
PublicationAge prediction from X-rays is an interesting research topic important for clinical applications such as biological maturity assessment. It is also useful in many other practical applications, including sports or forensic investigations for age verification purposes. Research on these issues is usually carried out using high-resolution X-ray scans of parts of the body, such as images of the hands or images of the chest. In this...
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Sieciowe systemy operacyjne 2022
e-Learning Courses{mlang pl}Sieciowe systemy operacyjne 2021/22, informatyka, studia II stopnia, I sem. studia stacjonarne{mlang} {mlang en}Network Operating Systems 2021/22, Informatics, full-time postgraduate studies, 1st semester{mlang}
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Sieciowe systemy operacyjne 2023
e-Learning Courses{mlang pl}Sieciowe systemy operacyjne 2022/23, informatyka, studia II stopnia, I sem. studia stacjonarne{mlang} {mlang en}Network Operating Systems 2022/23, Informatics, full-time postgraduate studies, 1st semester{mlang}
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Sieciowe systemy operacyjne 2024
e-Learning Courses{mlang pl}Sieciowe systemy operacyjne 2023/24, informatyka, studia II stopnia, I sem. studia stacjonarne{mlang} {mlang en}Network Operating Systems 2023/24, Informatics, full-time postgraduate studies, 1st semester{mlang}
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Signals of the 5G Standalone Radio Interface
Open Research DataThe research work conducted within the scope of NATO-STO (North Atlantic Treaty Organization – Science and Technology Organization) IST-187 group assumed investigation of the 5G gNodeB performance. The downlink (DL) signals of the FDD (Frequency Division Duplex) 5G-Standalone station were registered in isolated and controlled laboratory conditions....
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THE IPV4 TO IPV6 MIGRATION OF APPLICATIONS AND SERVICE
PublicationThis article presents the problems related to IPv4 to IPv6 migration of applications supporting network services. It summarizes the needs of executing such migration. It shows the basic problems of automating the migration process, having defined the basic terms, i.e.: a network service, a network application. It shows a sample implementation of the automation of the migration process between IP technologies for selected network...
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Jacek Rumiński prof. dr hab. inż.
PeopleWykształcenie i kariera zawodowa 2022 2016 2002 1995 1991-1995 Tytuł profesora Habilitacja Doktor nauk technicznych Magister inżynier Prezydent RP, dziedzina nauk inżynieryjno-technicznych, dyscyplina: inzyniera biomedyczna Politechnika Gdańska, Biocybernetyka i inżyniera biomedyczna, tematyka: „Metody wyodrębniania sygnałów i parametrów z różnomodalnych sekwencji obrazów dla potrzeb diagnostyki i wspomagania...
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What matters most to patients? On the Core Determinants of Patient Experience from Free Text Feedback
PublicationFree-text feedback from patients is increasingly used for improving the quality of healthcare services and systems. A major reason for the growing interest in harnessing free-text feedback is the belief that it provides richer information about what patients want and care about. The use of computational approaches such as structural topic modelling for analysing large unstructured textual data such as free-text feedback from patients...
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Nietypowa podziemna konstrukcja oporowa w technologii DSM jako zabezpieczenie głębokiej wymiany gruntu
PublicationW artykule przedstawiono nietypowe rozwiązanie podparcia i zabezpieczenia głębokiej wymiany gruntu z zastosowaniem przestrzennej konstrukcji oporowej w technologii DSM, ze względu na ograniczenie miejsca oraz zapewnienie stateczności nasypu drogowego. Opisano również realizację rozwiązania oraz prowadzony monitoring geotechniczny.
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Nietypowa podziemna konstrukcja oporowa w technologii DSM jako zabezpieczenie głębokiej wymiany gruntu
PublicationW artykule przedstawiono nietypowe rozwiązanie podparcia i zabezpieczenia głębokiej wymiany gruntu z zastosowaniem przestrzennej konstrukcji oporowej w technologii DSM, ze względu na ograniczenie miejsca oraz zapewnienie stateczności nasypu drogowego. Opisano również realizację rozwiązania oraz prowadzony monitoring geotechniczny.
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Comparative study of neural networks used in modeling and control of dynamic systems
PublicationIn this paper, a diagonal recurrent neural network that contains two recurrent weights in the hidden layer is proposed for the designing of a synchronous generator control system. To demonstrate the superiority of the proposed neural network, a comparative study of performances, with two other neural network (1_DRNN) and the proposed second-order diagonal recurrent neural network (2_DRNN). Moreover, to confirm the superiority...
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SegSperm - a dataset of sperm images for blurry and small object segmentation
Open Research DataMany deep learning applications require figure-ground segmentation. The performance of segmentation models varies across modalities and acquisition settings.
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Magdalena Licznerska mgr
PeopleMagdalena Licznerska jest asystentem w Katedrze Przedsiębiorczości na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej, gdzie prowadzi zajęcia z zarządzania małą firmą i podstaw ekonomii. Jej badania koncentrują się na przedsiębiorczości kobiet, kobietach w firmach rodzinnych oraz społeczno-kognitywnym spojrzeniu na przedsiębiorczość. Przygotowuje pracę doktorską na temat roli kontekstu w kształtowaniu indywidualnej orientacji...
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Smartphones as tools for equitable food quality assessment
PublicationBackground: The ubiquity of smartphones equipped with an array of sophisticated sensors, ample processing power, network connectivity and a convenient interface makes them a promising tool for non-invasive, portable food quality assessment. Combined with the recent developments in the areas of IoT, deep learning algorithms and cloud computing, they present an opportunity for advancing wide-spread, equitable and sustainable food...
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Evaluating Accuracy of Respiratory Rate Estimation from Super Resolved Thermal Imagery
PublicationNon-contact estimation of Respiratory Rate (RR) has revolutionized the process of establishing the measurement by surpassing some issues related to attaching sensors to a body, e.g. epidermal stripping, skin disruption and pain. In this study, we perform further experiments with image processing-based RR estimation by using various image enhancement algorithms. Specifically, we employ Super Resolution (SR) Deep Learning (DL) network...
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Marek Biziuk prof. dr hab. inż.
PeopleCURRICULUM VITAE Marek BIZIUK Born 1947 MSc 1969 GUT PhD 1977 GUT DSc 1994 GUT Professor 2001 Membership of scientific society - Gdansk Scientific Society - Romanian Society of Analytical Chemistry - Engineers and Techniques of...