Search results for: CLOUD - Bridge of Knowledge

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Search results for: CLOUD

Search results for: CLOUD

  • Laser scanning point clouds of a 32-meter radiotelescope located in the radioastronomical observatory in Piwnice (Poland)

    Open Research Data

    This dataset contains laser scanning point clouds of a 32-meter RT4 radiotelescope located in the radioastronomical observatory in Piwnice in Poland. Measurements were performed on 18th May 2018 using two laser scanners: Leica P40 (shared by Leica Geosystems Poland) and Riegl VZ400 (shared by Geotronics Dystrybucja Sp. z o.o.). The cloud points from...

  • Architektura Systemów Komputerowych

    Główną tematyką badawczą podejmowaną w Katedrze jest rozwój architektury aplikacji i systemów komputerowych, w szczególności aplikacji i systemów równoległych i rozproszonych. "Architecture starts when you carefully put two bricks together" - stwierdza niemiecki architekt Ludwig Mies von der Rohe. W przypadku systemów komputerowych dotyczy to nie cegieł, a modułów sprzętowych lub programowych. Przez architekturę systemu komputerowego...

  • Conference on Innovation in Clouds, Internet and Networks

    Conferences

  • International Symposium on Grids and Clouds (International Symposium on Grid Computing)

    Conferences

  • Krzysztof Gierłowski dr inż.

    Krzysztof Gierłowski received his Ph.D. degree in telecommunications from the Faculty of Electronics, Gdańsk University of Technology (GUT), Poland, in 2018. He is author or co-author of more than 80 scientific papers and reviewer for a number of conferences and journals. Krzysztof Gierłowski took part in major IT-oriented projects, including: EU-funded Polish Future Internet Engineering initiative, PL-LAB2020 Infrastructural...

  • DEPTH IMAGES FILTERING IN DISTRIBUTED STREAMING

    In this paper we discuss the comparison of point cloud filters focusing on their applicability for streaming optimization. For the filtering stage within a stream pipeline processing we evaluate three filters: Voxel Grid, Pass Through and Statistical Outlier Removal. For the filters we perform series of the tests aiming at evaluation of changes of point cloud size and transmitting frequency (various fps ratio). We propose a distributed...

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  • Depth Images Filtering In Distributed Streaming

    In this paper, we propose a distributed system for point cloud processing and transferring them via computer network regarding to effectiveness-related requirements. We discuss the comparison of point cloud filters focusing on their usage for streaming optimization. For the filtering step of the stream pipeline processing we evaluate four filters: Voxel Grid, Radial Outliner Remover, Statistical Outlier Removal and Pass Through....

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  • Big Data from Sensor Network via Internet of Things to Edge Deep Learning for Smart City

    Publication

    - Year 2021

    Data from a physical world is sampled by sensor networks, and then streams of Big Data are sent to cloud hosts to support decision making by deep learning software. In a smart city, some tasks may be assigned to smart devices of the Internet of Things for performing edge computing. Besides, a part of workload of calculations can be transferred to the cloud hosts. This paper proposes benchmarks for division tasks between an edge...

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  • Tomasz Gierszewski dr inż.

    People

  • Patryk Ziółkowski dr inż.

    Patryk Ziolkowski is a graduate of the Faculty of Civil and Environmental Engineering at the Gdansk University of Technology, specializing in Building and Engineering Structures. He works as an Assistant Professor at the Department of Engineering Structures. He participated in international projects, including projects for the Ministry of Transportation of the State of Alabama (2015), he is also the winner of a grant from the Kosciuszko...

  • Paweł Lubomski dr inż.

    People

    Paweł Lubomski is the director of the IT Services Centre at the Gdańsk University of Technology. He is responsible for developing and maintaining the central information systems of the university. He is also in charge of the R&D team and works on new approaches to IT systems’ protection. He also acts as the project manager of two big innovative IT projects co-financed by the European Funds. He received a PhD degree in computer...

  • Low-Level Aerial Photogrammetry as a Source of Supplementary Data for ALS Measurements

    Publication

    - Year 2017

    The development of laser scanning technology ALS allows to make high-resolution measurements for large areas result-ing in significant reduction of costs. The main stakeholders at heights data received from the airborne laser scanning is mainly state administration. The state institutions appear among projects such as ISOK. Each point is classified in ac-cordance with the standard LAS 1.2, our research focuses on the class 6 -...

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  • Waldemar Korłub dr inż.

    People

    Waldemar Korłub obtained an Eng. degree in 2011, MSc.Eng. degree in 2012 and PhD in Computer Science in 2017 granted by the Faculty of Electronics, Telecommunications and Informatics at Gdansk University of Technology. His research interests include: distributed systems mainly grid and cloud computing platforms, autonomous systems capable of self-optimization, self-management, self-healing and self-protection, artificial intelligence...

  • Autonomous pick-and-place system based on multiple 3Dsensors and deep learning

    Publication

    - Year 2022

    Grasping objects and manipulating them is the main way the robot interacts with its environment. However, for robots to operate in a dynamic environment, a system for determining the gripping position for objects in the scene is also required. For this purpose, neural networks segmenting the point cloud are usually applied. However, training such networks is very complex and their results are unsatisfactory. Therefore, we propose...

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  • Autonomous Perception and Grasp Generation Based on Multiple 3D Sensors and Deep Learning

    Publication

    - Year 2022

    Grasping objects and manipulating them is the main way the robot interacts with its environment. However, for robots to operate in a dynamic environment, a system for determining the gripping position for objects in the scene is also required. For this purpose, neural networks segmenting the point cloud are usually applied. However, training such networks is very complex and their results are unsatisfactory. Therefore, we propose...

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  • Protection in elastic optical networks

    Publication
    • R. Goścień
    • K. Walkowiak
    • M. Klinkowski
    • J. Rak

    - IEEE NETWORK - Year 2015

    In this article, we analyze gains resulting from the use of EON architectures with special focus on transportation of cloud-ready and content-oriented traffic in the context of network resilience. EONs are a promising approach for future optical transport networks and, apart from improving the network spectral efficiency, bring such new capabilities as squeezed protection, which reduces resource requirements in failure scenarios....

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  • Some Optimization Methods for Simulations in Volunteer and Grid Systems

    Publication

    In this chapter, some optimization methods have been presented for improving performance of simulations in the volunteer and grid computing system called Comcute. Some issues related to the cloud computing can be solved by presented approaches as well as the Comcute platform can be used to simulate execution of expensive and energy consuming long-term tasks in the cloud environment. In particular, evolutionary algorithms as well...

  • Zastosowanie technologii holonowych w środowisku chmurowym przedsiębiorstwa

    Celem artykułu jest wskazanie możliwości stosowania technologii holonowych dla implementacji chmurowego przetwarzania danych (cloud computing, CC) oraz chmurowego wytwarzania (cloud manufacturing, CM) w przedsiębiorstwie wirtualnym. Przyjęto następujący schemat wywodu: wyszczególnienie cech wspólnych oraz wyróżniających, występujących pomiędzy chmurą obliczeniową a wytwarzaniem chmurowym przedsiębiorstwa wirtualnego, a następnie...

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  • Wykorzystanie klasyfikacji funkcjonalnej usług do efektywnego zarządzania zasobami chmurowymi

    Publication

    - Year 2023

    Wykazano jak istotnym problemem jest zarzadzanie chmurą obliczeniową, w tym alokacja zasobów do wykonania usług (workloadów) zgłoszonych przez użytkownika. Przeanalizowano problem podziału usług wdrażanych w środowiskach chmurowych na klasy określające ich funkcjonalność. Zaproponowano oryginalną metodę alokacji workloadów wykorzystującą wprowadzoną klasyfikację funkcjonalną oraz identyfikację tych klas na podstawie wielkości generowanego...

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  • Schematiclab.com – A web tool for the design and analysis of electrical circuits

    Publication

    Along with a general progress in the modern computational tools, dynamic development of Internet applications using the cloud methodology and solutions is now observed. Clearly, also the applications installed locally, and being commonly used previously, are gradually gaining their counterparts in computational network clouds. The clouds have also brought new service sales opportunities. Namely, the service sales model based on...

  • Measurement file of stainless stell shaft LSS1 and LSS2 with diameter 95,995 with 3d measurment device

    Open Research Data
    open access

    3d point cloud consist of measured points on new stainless steel shaft used during testing hydrodynamic journal PEEK bearing.

  • Some Artificial Intelligence Driven Algorithms For Mobile Edge Computing in Smart City

    Publication

    - Year 2019

    Smart mobile devices can share computing workload with the computer cloud that is important when artificial intelligence tools support computer systems in a smart city. This concept brings computing on the edge of the cloud, closer to citizens and it can shorten latency. Edge computing removes a crucial drawback of the smart city computing because city services are usually far away from citizens, physically. Besides, we introduced...

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  • Kosmiczne zastosowania zaawansowanych technologii informatycznych

    e-Learning Courses
    • J. Proficz
    • A. Królicka-Gałązka

    Nowoczesne technologie wykorzystania systemów dużej mocy obliczeniowej: superkomputerów o architekturze klastrowej na przykładzie środowisk związanych z masowym przetwarzaniem danych (Big Data), obliczeniami w chmurze (Cloud Computing) oraz klasycznym podejściem wymiany wiadomości (MPI: Message Passing Interface) dla przetwarzania wsadowego.

  • Krzysztof Goczyła prof. dr hab. inż.

    Krzysztof Goczyła, full professor of Gdańsk University of Technology, computer scientist, a specialist in software engineering, knowledge engineering and databases. He graduated from the Faculty of Electronics Technical University of Gdansk in 1976 with a degree in electronic engineering, specializing in automation. Since then he has been working at Gdańsk University of Technology. In 1982 he obtained a doctorate in computer science...

  • Optymalizacja zasobów chmury obliczeniowej z wykorzystaniem inteligentnych agentów w zdalnym nauczaniu

    Publication

    - Year 2023

    Rozprawa 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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  • Big Data and the Internet of Things in Edge Computing for Smart City

    Publication

    - Year 2019

    Requests expressing collective human expectations and outcomes from city service tasks can be partially satisfied by processing Big Data provided to a city cloud via the Internet of Things. To improve the efficiency of the city clouds an edge computing has been introduced regarding Big Data mining. This intelligent and efficient distributed system can be developed for citizens that are supposed to be informed and educated by the...

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  • Ontology clustering by directions algorithm to expand ontology queries

    Publication

    - Year 2009

    This paper concerns formulating ontology queries. It describes existing languages in which ontologies can be queried. It focuses on languages which are intended to be easily understood by users who are willing to retrieve information from ontologies. Such a language can be, for example, a type of controlled natural language (CNL). In this paper a novel algorithm called Ontology Clustering by Directions is presented. The algorithm...

  • Modele budowy wartości dla klienta - charakterystyka i rozwinięcie

    Publication

    Rozwój form realizacji biznesu umożliwił zbadanie nowych obiektów związanych z generowaniem wartości dla klienta i przedsiębiorstwa. W pracy scharakteryzowano logiki tworzenia wartości będące podstawą modeli łańcucha wartości, sklepu wartości, sieci wartości oraz chmury wartości. Zaproponowano także wprowadzenie nowego składnika do struktury tych modeli w postaci węzła wartości.

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  • Distributed Architectures for Intensive Urban Computing: A Case Study on Smart Lighting for Sustainable Cities

    Publication

    - IEEE Access - Year 2019

    New information and communication technologies have contributed to the development of the smart city concept. On a physical level, this paradigm is characterised by deploying a substantial number of different devices that can sense their surroundings and generate a large amount of data. The most typical case is image and video acquisition sensors. Recently, these types of sensors are found in abundance in urban spaces and are responsible...

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  • St. Adalberd church 3D point model

    Open Research Data
    open access

    Research data show the church of St. Adalbert in Gdansk, Poland. Two layers are presented in the .zip file: one represents the laser scanning result, the second represents the point cloud from 36 photogrammetry images from the UAV system. The aligned point clouds formed the basis to create the high-resolution 3D model. Reference data are laser scanning...

  • Application of the Optimum Dataset Method in Archeological Studies on Barrows

    Publication

    - Year 2018

    Light Detection and Ranging (LiDAR) became one of the technologies used in archaeological research. It allows for relatively easy detection of archaeological sites that have their own field form, e.g.: barrows, fortresses, tracts, ancient fields [1]. As a result of the scanning, the so-called point cloud is obtained, often consisting of millions of points. Such large measurement datasets are very time-consuming and labor-intensive...

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  • Historical Wreck Inventory

    Open Research Data
    open access
    • P. Tysiąc
    • J. Dankowska
    • R. Khudoley
    • F. Kowalewski
    • P. Kucharski
    • D. Michalska
    • J. Mioduszewski
    • K. Miszewska
    • M. Myszk
    • M. Pachulska
    • O. Zygmuntowicz

    The measurement solution results in a point cloud obtained from the Leica P30 laser scanner. Another element is the processing of photos into point clouds with the Zenmuse P1 camera of the unmanned Matrice 300 RTK aircraft. The measurement provides complete geometrical information about the wreck. The measurement took place as part of the Photogrammetry...

  • Programmatic Simulation of Laser Scanning Products

    Publication

    - Year 2018

    The technology of laser scanning is widely used for producing three-dimensional digital representations of geographic features. The measurement results are usually available in the form of 3D point clouds, which are often used as a transitional data model in various remote sensing applications. Unfortunately, while the costs of Light Detection And Ranging scanners have dropped significantly in recent years, they are still considered...

  • Data Analysis in Bridge of Data

    Publication

    The chapter presents the data analysis aspects of the Bridge of Data project. The software framework used, Jupyter, and its configuration are presented. The solution’s architecture, including the TRYTON supercomputer as the underlying infrastructure, is described. The use case templates provided by the Stat-reducer application are presented, including data analysis related to spatial points’ cloud-, audio- and wind-related research.

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  • Application of Reverse Engineering Technology in Part Design for Shipbuilding Industry

    Publication

    - Polish Maritime Research - Year 2019

    In the shipbuilding industry, it is difficult to create CAD models of existing or prototype parts, especially with many freeform surfaces. The paper presents the creation of the CAD 3D model of a shipbuilding component with the application of the reverse engineering technology. Based on the data obtained from the digitization process, the component is reconstructed in point cloud processing programs and the CAD model is created....

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  • C2 Niwa - The Centre of Competence for Novel Infrastructure of Workable Applications

    Publication

    - TASK Quarterly - Year 2015

    Scientific and cloud computing are discussed in the paper . The paradigm of EaaS (Everything as a Service) is presented and the design methodology of service oriented applications is proposed. Implementation of the SOSE (Software Oriented Software Engineering) approach is analyzed and the roles of developing teams to obtain software products satisfying business requirements are also shown. The above listed activities create a basic...

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  • SERVICE-ORIENTED CYBERSPACE FOR IMPROVING CYBERSECURITY

    Publication

    - TASK Quarterly - Year 2020

    The paper presents a cyberspace model where different categories of IT services are offered and used largely. A general cybersecurity policy is considered and the corresponding cybersecurity strategies are shown. The role of such technologies as: Internet of Things, Cloud Computing and Big Data is analyzed in order to improve the cybersecurity of a cyberspace. A new kind of service oriented cyberspace is proposed and its main properties...

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  • Speaker Recognition Using Convolutional Neural Network with Minimal Training Data for Smart Home Solutions

    Publication

    - Year 2018

    With the technology advancements in smart home sector, voice control and automation are key components that can make a real difference in people's lives. The voice recognition technology market continues to involve rapidly as almost all smart home devices are providing speaker recognition capability today. However, most of them provide cloud-based solutions or use very deep Neural Networks for speaker recognition task, which are...

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  • Jerzy Konorski dr hab. inż.

    Jerzy Konorski received his M. Sc. degree in telecommunications from Gdansk University of Technology, Poland, and his Ph. D. degree in computer science from the Polish Academy of Sciences, Warsaw, Poland. In 2007, he defended his D. Sc. thesis at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology. He has authored over 150 papers, led scientific projects funded by the European Union,...

  • Accuracy improvement of the prestressed concrete structures precise geometry assessment by use of bubble micro-sampling algorithm

    Prestressed concrete structures are well-known technology for a vast period, but nevertheless, this very technology is a leading solution, currently used in construction industry. Prestressed concrete structures have a huge advantage over conventional methods because it uses the properties of concrete in a very efficient way. The main idea behind this technology is to introduce into the cross-section of the structure, the internal...

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  • Effect of the North Atlantic Thermohaline Circulation on changes in climatic conditions and river flow in Poland

    Publication

    - Water - Year 2019

    : The purpose of this study is to find connections between the North Atlantic Thermohaline Circulation (NA THC), climate elements, such as cloud cover, precipitation, air temperature, sunshine duration, and relative humidity, and flow of rivers in Poland. The intensity of NA THC was characterized by the DG3L index, which was established to assess changes in the amount of heat transported by NA THC along with the transport of water...

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  • LIDAR data from the measurement of a WD113 bridge structure

    Open Research Data

    The measurement data was obtained during research related to the utilization of LiDAR observations to assess the condition of bridge structures. The provided data comes from measurements of viaduct WD113 located along a newly built national road near the town of Koszalin. The acquired point cloud constitutes an integral set of information regarding...

  • CNN-CLFFA: Support Mobile Edge Computing in Transportation Cyber Physical System

    Publication
    • A. Bhansali
    • R. Kumar Patra
    • P. Bidare Divakarachari
    • P. Falkowski-Gilski
    • G. Shivakanth
    • S. N. Patil

    - IEEE Access - Year 2024

    In the present scenario, the transportation Cyber Physical System (CPS) improves the reliability and efficiency of the transportation systems by enhancing the interactions between the physical and cyber systems. With the provision of better storage ability and enhanced computing, cloud computing extends transportation CPS in Mobile Edge Computing (MEC). By inspecting the existing literatures, the cloud computing cannot fulfill...

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  • 3D-Breast System for Determining the Volume of Tissue Needed for Breast Reconstruction

    3D imaging systems can be used to effectively determine breast volumes for surgical applications. This article presents methods for surface reconstruction and volume determination based on the point cloud created by 3D imaging. Such a system would be used to accurately estimate breast volume in patients classified for breast reconstruction surgery at plastic surgery centers. To develop such a system, various methods of determining...

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  • Optimization of the System for Determining the Volume of Tissue Needed for Breast Reconstruction

    Publication

    This article presents techniques for reconstructing surfaces and volume calculations using a point cloud generated from 3D imaging. The main objective of this article was to optimize the voxel size for the most accurate representation of the surface of the female breast. We experimented with different methods for determining volume using images from the Intel D435i camera. In addition, we designed application and measurement station...

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  • Performance Analysis of Convolutional Neural Networks on Embedded Systems

    Publication

    - Year 2020

    Machine learning is no longer confined to cloud and high-end server systems and has been successfully deployed on devices that are part of Internet of Things. This paper presents the analysis of performance of convolutional neural networks deployed on an ARM microcontroller. Inference time is measured for different core frequencies, with and without DSP instructions and disabled access to cache. Networks use both real-valued and...

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  • 3D Model Preparing Patterns for Interactive Urban Visualization - Guidelines for Graphic Designers Preparing 3D Models for Virtual Reality Applications

    Publication

    While working on architectural visualizations, the software developer often has to work with graphic designers who create models in a different environment what can cause many complications. For this reason, it is very important to have some guidelines which can protect both the developer and the designer from commixing mistakes. The paper presents a list of such guidelines based on the authors’ experience. The reader can treat...

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  • Inżynieria odwrotna bazy paliw płynnych w Gdańsku

    Publication

    Artykuł prezentuje prace z zakresu pozyskania danych o zbiornikach bazy paliw płynnych w Gdańsku. Przedstawione rozwiązanie nie ogranicza się tylko do stworzenia (rejestracji) chmury punktów, ale jest próbą wskazania użycia naziemnego skaningu laserowego do stworzenia bazy informacji o bazie paliw – w tym głównie geometrii zbiorników. Autorzy prezentują proces inwentaryzacji, rejestrację chmury punktów oraz wskazują zasady tworzenia...

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  • Comparative conformance cases for monitoring multiple implementations of critical requirements

    Publication

    The paper presents the concept and the mechanism of comparative conformance cases which support conformance monitoring in situations where a standard or other set of requirements are being implemented at multiple sites. The mechanism is enabled by NOR-STA services which implement the TRUST-IT methodology and are deployed in the cloud in accordance with the SaaS model. In the paper we introduce the concept of comparative conformance...

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  • "3D-Breast System for Determining the Volume of Tissue Needed for Breast Reconstruction"

    Publication

    This article presents methods for surface reconstruction and volume determination based on the point cloud created by 3D imaging. Such a system would be used to accurately estimate breast volume in patients classified for breast reconstruction surgery at plastic surgery centers. To develop such a system, various methods of determining volume, based on images from the Intel D435i camera, were tested. In addition, an application...