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  1. No Access

    Chapter and Conference Paper

    Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data

    The rapid evolution of smart manufacturing and the pivotal role of Automated Guided Vehicles (AGVs) in enhancing operational efficiency, underscore the necessity for robust anomaly detection mechanisms. This p...

    Paweł Benecki, Daniel Kostrzewa, Marek Drewniak in Computational Science – ICCS 2024 (2024)

  2. No Access

    Chapter and Conference Paper

    Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment

    Federated learning is a distributed machine learning method that is well-suited for the Industrial Internet of Things (IIoT) as it enables the training of machine learning models on distributed datasets. One o...

    Bohdan Shubyn, Piotr Grzesik, Taras Maksymyuk in Computational Science – ICCS 2023 (2023)

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    Chapter and Conference Paper

    Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles

    Intelligent production requires maximum downtime avoidance since downtimes lead to economic loss. Thus, Industry 4.0 (today’s IoT-driven industrial revolution) is aimed at automated production with real-time d...

    Bohdan Shubyn, Dariusz Mrozek, Taras Maksymyuk in Computational Science – ICCS 2022 (2022)

  4. No Access

    Chapter and Conference Paper

    On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles

    Industrial IoT systems, such as those based on Autonomous Guided Vehicles (AGV), often generate a massive volume of data that needs to be processed and sent over to the cloud or private data centers. The prese...

    Piotr Grzesik, Paweł Benecki, Daniel Kostrzewa in Computational Science – ICCS 2022 (2022)

  5. No Access

    Chapter and Conference Paper

    Accelerating Edge Metagenomic Analysis with Serverless-Based Cloud Offloading

    Third-generation nanopore sequencing technologies, along with portable devices such as MinION Nanopore and Jetson Xavier NX, allow performing cost-effective metagenomic analysis in a portable manner. At the sa...

    Piotr Grzesik, Dariusz Mrozek in Computational Science – ICCS 2022 (2022)

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    Chapter and Conference Paper

    Cloud as a Platform for W-Machine Didactic Computer Simulator

    Effective teaching of how computers work is essential for future computer engineers and requires fairly simple computer simulators used in regular students’ education. This article shows the evaluation of alte...

    Piotr Paczuła, Robert Tutajewicz, Robert Brzeski in Computational Science – ICCS 2022 (2022)

  7. No Access

    Chapter and Conference Paper

    Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables

    Wearable IoT devices that can register and transmit human voice can be invaluable in personal situations, such as summoning assistance in emergency healthcare situations. Such applications would benefit greatl...

    Dariusz Mrozek, Szymon Kwaśnicki, Vaidy Sunderam in Computational Science – ICCS 2021 (2021)

  8. No Access

    Chapter and Conference Paper

    Metagenomic Analysis at the Edge with Jetson Xavier NX

    Nanopore sequencing technologies and devices such as MinION Nanopore enable cost-effective and portable metagenomic analysis. However, performing mobile metagenomics analysis in secluded areas requires computa...

    Piotr Grzesik, Dariusz Mrozek in Computational Science – ICCS 2021 (2021)

  9. No Access

    Chapter and Conference Paper

    Serverless Nanopore Basecalling with AWS Lambda

    The serverless computing paradigm allows simplifying operations, offers highly parallel execution and high scalability without the need for manual management of underlying infrastructure. This paper aims to ev...

    Piotr Grzesik, Dariusz Mrozek in Computational Science – ICCS 2021 (2021)

  10. No Access

    Chapter and Conference Paper

    Challenges Associated with Sensors and Data Fusion for AGV-Driven Smart Manufacturing

    Data fusion methods enable the precision of measurements based on information from individual systems as well as many different subsystems to be increased. Besides, the data obtained in this way enables additi...

    Adam Ziebinski, Dariusz Mrozek, Rafal Cupek in Computational Science – ICCS 2021 (2021)

  11. No Access

    Chapter and Conference Paper

    BioTest - Remote Platform for Hypothesis Testing and Analysis of Biomedical Data

    Modern multi-omics studies introduce a major challenge for biomedic...

    Krzysztof Psiuk-Maksymowicz, Roman Jaksik in Current Trends in Biomedical Engineering a… (2020)

  12. Chapter and Conference Paper

    Fuzzy Intelligence in Monitoring Older Adults with Wearables

    Monitoring older adults with wearable sensors and IoT devices requires collecting data from various sources and proliferates the number of data that should be collected in the monitoring center. Due to the lar...

    Dariusz Mrozek, Mateusz Milik, Bożena Małysiak-Mrozek in Computational Science – ICCS 2020 (2020)

  13. Chapter and Conference Paper

    Regression Methods for Detecting Anomalies in Flue Gas Desulphurization Installations in Coal-Fired Power Plants Based on Sensor Data

    In the industrial world, the Internet of Things produces an enormous amount of data that we can use as a source for machine learning algorithms to optimize the production process. One area of application of th...

    Marek Moleda, Alina Momot, Dariusz Mrozek in Computational Science – ICCS 2020 (2020)

  14. Chapter and Conference Paper

    Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks

    Selection of an appropriate database system for edge IoT devices is one of the essential elements that determine efficient edge-based data analysis in low power wireless sensor networks. This paper presents a ...

    Piotr Grzesik, Dariusz Mrozek in Computational Science – ICCS 2020 (2020)

  15. No Access

    Chapter and Conference Paper

    Development of High Performance Computing Systems

    The aim of the work is to present the development trends of high performance computers. The analysis focused on system architecture, processors and computing accelerators used. Particular attention was paid t...

    Stanisław Kozielski, Dariusz Mrozek in Computer Networks (2020)

  16. Chapter and Conference Paper

    Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges

    Autonomous Guided Vehicles (AGVs) are considered to be one of the critical enabling technologies for smart manufacturing. This paper focus on the application of AGVs in new generations of manufacturing systems...

    Rafal Cupek, Marek Drewniak, Marcin Fojcik in Computational Science – ICCS 2020 (2020)

  17. Article

    Open Access

    High-throughput and scalable protein function identification with Hadoop and Map-only pattern of the MapReduce processing model

    Efficient computational solutions for identification of protein functions or finding structural homologs of proteins gain importance in the era of structural genomics and in the face of growing volumes of biol...

    Dariusz Mrozek, Marek Suwała, Bożena Małysiak-Mrozek in Knowledge and Information Systems (2019)

  18. Article

    Open Access

    Spark-IDPP: high-throughput and scalable prediction of intrinsically disordered protein regions with Spark clusters on the Cloud

    Intrinsically disorder proteins (IDPs) constitute a significant part of proteins that exist and act in cells of living organisms. IDPs play key roles in central cellular processes and some of them are closely ...

    Bożena Małysiak-Mrozek, Tomasz Baron, Dariusz Mrozek in Cluster Computing (2019)

  19. No Access

    Book and Conference Proceedings

  20. No Access

    Chapter and Conference Paper

    Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase

    This paper presents the concept of the IoT system for chronic arthr...

    Paweł Mielnik, Krzysztof Tokarz, Dariusz Mrozek in Computational Collective Intelligence (2019)

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