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Search results for: INTERNET-OF- THINGS

Search results for: INTERNET-OF- THINGS

  • A Compact Circularly Polarized Dielectric Resonator Antenna with MIMO Characterizations for UWB Applications

    Publication

    - Scientific Reports - Year 2024

    Ultra-wideband (UWB) technology is extensively used in indoor navigation, medical applications, and Internet of Things (IoT) devices due to its low power consumption and resilience against multipath fading and losses. This paper examines a multiple input multiple-output (MIMO), circularly polarized (CP) dielectric resonator antenna (DRA) for UWB systems. Compact form factor, high gain, wideband response, improved port isolation,...

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  • Globalized Simulation-Driven Miniaturization of Microwave Circuits by Means of Dimensionality-Reduced Constrained Surrogates

    Publication

    Small size has become a crucial prerequisite in the design of modern microwave components. Miniaturized devices are essential for a number of application areas, including wireless communications, 5G/6G technology, wearable devices, or the internet of things. Notwithstanding, size reduction generally degrades the electrical performance of microwave systems. Therefore, trade-off solutions have to be sought that represent acceptable...

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  • On Decision-Making Strategies for Improved-Reliability Size Reduction of Microwave Passives: Intermittent Correction of Equality Constraints and Adaptive Handling of Inequality Constraints

    Publication

    Design optimization of passive microwave components is an intricate process, especially if the primary objective is a reduction of the physical size of the structure. The latter has become an important design consideration for a growing number of modern applications (mobile communications, wearable/implantable devices, internet of things), where miniaturization is imperative due to a limited space allocated for the electronic circuitry....

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  • Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation

    Publication

    - SENSORS - Year 2024

    To 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

    Handling 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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  • Processing of Satellite Data in the Cloud

    Publication

    The 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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  • Cost-Efficient EM-Driven Size Reduction of Antenna Structures by Multi-Fidelity Simulation Models

    Publication

    Design of antenna systems for emerging application areas such as the Internet of Things (IoT), fifth generation wireless communications (5G), or remote sensing, is a challenging endeavor. In addition to meeting stringent performance specifications concerning electrical and field properties, the structure has to maintain small physical dimensions. The latter normally requires searching for trade-off solutions because miniaturization...

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  • 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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  • Using LSTM networks to predict engine condition on large scale data processing framework

    Publication

    - Year 2017

    As 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

    Publication

    - Year 2018

    Rozprawa 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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  • Rafał Leszczyna dr hab. inż.

    Dr 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...

  • Leszek Zięba mgr inż.

    People

    He 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...

  • Decision making process using deep learning

    Publication

    - Year 2019

    Endüstri 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...

  • Sławomir Jerzy Ambroziak dr hab. inż.

    Sławomir 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...

  • Zdolni z Pomorza 2022/23 - Podstawy programowania urządzeń brzegowych na Raspberry Pi w języku Python

    e-Learning Courses
    • T. Neumann

    Cel 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...

  • Zdolni z Pomorza 2022/23 - Podstawy programowania urządzeń brzegowych na Raspberry Pi w języku Python - arch.

    e-Learning Courses
    • T. Neumann
    • B. Wikieł

    Cel 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...

  • Low-Cost 3-D Printed Lens Antenna for Ka-Band Connectivity Applications

    This paper discusses the use of low-cost 3-D printing technology to fabricate dielectric lenses for Ka-band wireless networks. A low-cost FDM alternative to previously presented 3-D printed lens in SLA technology with high performance resin is presented. The presented approach has been demonstrated for a 39 GHz MU-MIMO antenna array modified to realize multibeam or switched-beam antenna that can support demanding energy-efficient...

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