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Search results for: internet of things
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Processing of Satellite Data in the Cloud
PublicationThe dynamic development of digital technologies, especially those dedicated to devices generating large data streams, such as all kinds of measurement equipment (temperature and humidity sensors, cameras, radio-telescopes and satellites – Internet of Things) enables more in-depth analysis of the surrounding reality, including better understanding of various natural phenomenon, starting from atomic level reactions, through macroscopic...
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Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation
PublicationTo date, significant progress has been made in the field of railway anomaly detection using technologies such as real-time data analytics, the Internet of Things, and machine learning. As technology continues to evolve, the ability to detect and respond to anomalies in railway systems is once again in the spotlight. However, railway anomaly detection faces challenges related to the vast infrastructure, dynamic conditions, aging...
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Direct Constraint Control for EM-Based Miniaturization of Microwave Passives
PublicationHandling constraints imposed on physical dimensions of microwave circuits has become an important design consideration over the recent years. It is primarily fostered by the needs of emerging application areas such as 5G mobile communications, internet of things, or wearable/implantable devices. The size of conventional passive components is determined by the guided wavelength, and its reduction requires topological modifications,...
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Rafał Leszczyna dr hab. inż.
PeopleDr hab. Rafal Leszczyna is an associate professor at Gdansk University of Technology, Faculty of Management and Economics. He holds the M.Sc. degrees of Computer Science and Business Management. In December, 2006 he earned a Ph.D. in Computer Science, specialisation - Computer Security at the Faculty of Electronics, Telecommunications and Informatics of Gdansk University of Technology. Between 2004 and 2008 he worked in the European...
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Using LSTM networks to predict engine condition on large scale data processing framework
PublicationAs the Internet of Things technology is developing rapidly, companies have an ability to observe the health of engine components and constructed systems through collecting signals from sensors. According to output of IoT sensors, companies can build systems to predict the conditions of components. Practically the components are required to be maintained or replaced before the end of life in performing their assigned task. Predicting...
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Optymalizacja kosztu działania aplikacji na urządzeniach mobilnych wspomaganych przez chmurę obliczeniową
PublicationRozprawa doktorska dotyczy problemu optymalnego rozdziału aplikacji na dwa heterogeniczne środowiska – urządzenie mobilne i chmurę obliczeniową – w celu minimalizacji kosztu jej wykonania. W części wstępnej przedstawiona została problematyka dotycząca urządzeń mobilnych, w tym urządzeń IoT (Internet of Things), architektury chmury obliczeniowej, a także istniejące badania związane ze współpracą pomiędzy urządzeniami mobilnymi i...
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Leszek Zięba mgr inż.
PeopleHe is a graduate of the Faculty of Electronics (1979 M.Sc. Electronics majoring in Computer Science). In the years 1979-1994 he worked at the PG Computing Center as a senior programmer, chief technologist in the Department of Basic Software and Software Development Department, senior designer. From 1994, he was employed as a senior lecturer in the Department of Production Engineering at the Faculty of Management and Economics of...
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Decision making process using deep learning
PublicationEndüstri 4.0, dördüncü endüstri devrimi veya Endüstriyel Nesnelerin İnterneti (IIoT) olarak adlandırılan sanayi akımı, işletmelere, daha verimli, daha büyük bir esneklikle, daha güvenli ve daha çevre dostu bir şekilde üretim yapma imkanı sunmaktadır. Nesnelerin İnterneti ile bağlantılı yeni teknoloji ve hizmetler birçok endüstriyel uygulamada devrim niteliği taşımaktadır. Fabrikalardaki otomasyon, tahminleyici bakım (PdM – Predictive...
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Sławomir Jerzy Ambroziak dr hab. inż.
PeopleSławomir J. Ambroziak was born in Poland, in 1982. He received the M.Sc., Ph.D. and D.Sc. degrees in radio communication from Gdańsk University of Technology (Gdańsk Tech), Poland, in 2008, 2013, and 2020 respectively. Since 2008 he is with the Department of Radiocommunication Systems and Networks of the Gdańsk Tech: 2008-2013 as Research Assistant, 2013-2020 as Assistant Professor, and since 2020 as Associate Professor. He is...
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Zdolni z Pomorza 2022/23 - Podstawy programowania urządzeń brzegowych na Raspberry Pi w języku Python
e-Learning CoursesCel kursu: Celem kursu jest zapoznanie uczniów z podstawami w zakresie programowania w języku Python w tym urządzeń brzegowych podłączanych do minikomputera Raspberry Pi 4B, umożliwiających pomiar wielkości fizycznych, środowiskowych lub biomedycznych. Opis kursu: Python jest jednym z najpopularniejszych języków programowania, który wraz w połączeniu z dodatkowymi narzędziami może posłużyć do tworzenia stron internetowych, przetwarzania...
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Zdolni z Pomorza 2022/23 - Podstawy programowania urządzeń brzegowych na Raspberry Pi w języku Python - arch.
e-Learning CoursesCel kursu: Celem kursu jest zapoznanie uczniów z podstawami w zakresie programowania w języku Python w tym urządzeń brzegowych podłączanych do minikomputera Raspberry Pi 4B, umożliwiających pomiar wielkości fizycznych, środowiskowych lub biomedycznych. Opis kursu: Python jest jednym z najpopularniejszych języków programowania, który wraz w połączeniu z dodatkowymi narzędziami może posłużyć do tworzenia stron internetowych, przetwarzania...
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Investigation of Continuous Wave Jamming in an IEEE 802.15.4 Network
PublicationThis paper presents how continuous wave jamming affects IEEE 802.15.4 network. To this end, an office-based measurement setup has been proposed. Within the measurement area, 25 nodes have been set up in order to create a IEEE 802.15.4 tree-based test network structure. A dedicated jamming device that generates and transmits a continuous wave signal has been developed. Several tests have been conducted and presented to demonstrate...
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Embedded system using Bluetooth Low Energy sensors for smart farming applications
PublicationThe main goal of this Bachelor of Engineering project titled Embedded system using Bluetooth Low Energy sensors for smart farming applications is to create a prototype of a system consistent with Agriculture 4.0 concept using Bluetooth Low Energy (BLE) technology. Developed solution shall be easy in implementation and its main functionality shall be periodic gathering of data from environmental sensors...
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Design and Evaluation of the Compact and Autonomous Energy Subsystem of a Wave Energy Converter
PublicationThis paper presents the results of the design process focused on the development of the energy subsystem (ES) of a wave energy converter (WEC). The ES is an important electrical part that significantly affects the energy reliability and energy efficiency of the entire WEC device. The designed ES was intended for compact WECs powering IoT network devices working in the distributed grid. The developed ES is an electronic circuit...
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Low-Cost Open-Hardware System for Measurements of Antenna Far-Field Characteristics in Non-Anechoic Environments
PublicationExperimental validation belongs to the most important steps in the development of antenna structures. Measurements are normally performed in expensive, dedicated facilities such as anechoic chambers, or open-test sites. A high cost of their construction might not be justified when the main goal of antenna verification boils down to demonstration of the measurement procedure, or rough validation of the simulation models used for...
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Application of Smart IoT Technology in Project Management Scenarios
PublicationThe report presents a low-cost and flexible solution to control and monitor home and industrial appliances. The popularity of automation devices has increased greatly in recent years due to higher affordability and simplicity through IoT phone and tablet connectivity. For this purpose, we have developed the IoT Outlet: a stand-alone communication unit, used to connect outlets to the internet. The IoT Plug is a power switch which...
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The adaptive spatio-temporal clustering method in classifying direct labor costs for the manufacturing industry
PublicationEmployee productivity is critical to the profitability of not only the manufacturing industry. By capturing employee locations using recent advanced tracking devices, one can analyze and evaluate the time spent during a workday of each individual. However, over time, the quantity of the collected data becomes a burden, and decreases the capabilities of efficient classification of direct labor costs. However, the results obtained...
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Łukasz Wiszniewski mgr inż.
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Dr. Asmaa Mahfoud Al-Hakimi PhD
PeopleDr. ASMA’A MAHFOUD HEZAM AL-HAKIMY from Yemen was born in Egypt 9th October. Received Diploma in Computer Programming in 2006 from University of Science and Technology Sanaa Yemen. Received Bachelor’s Degree in Computer Studies in 2008 from NORTHUMBRIA Newcastle University UK. Received master’s degree in Software Engineering in 2011 from STAFFORDSHIRE University, UK. Received PhD in Software Engineering from Universiti Putra Malaysia....
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Aleksandra Zaforemska
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