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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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Chapter and Conference Paper
Combining Data from Fitness Trackers with Meteorological Sensor Measurements for Enhanced Monitoring of Sports Performance
Systematic analysis of training data has become an inherent element of building a sports condition and preparation for sports competitions. Today’s progress in the development of various fitness trackers, smar...
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Chapter and Conference Paper
Fuzzy Join as a Preparation Step for the Analysis of Training Data
Analysis of training data has become an inseparable part of sports preparation not only for professional athletes but also for sports enthusiasts and sports amateurs. Nowadays, smart wearables and IoT devices ...
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Chapter and Conference Paper
Exploration of Data from Smart Bands in the Cloud and on the Edge – The Impact on the Data Storage Space
Wearable devices used for tracking people’s health state usually transmit their data to a remote monitoring data center that can be located in the Cloud due to large storage capacities. However, the growing nu...