Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 

Saved Queries

Sign in to use this feature.

Search Filter Reset All

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
Add Subjects Reset
Select Subjects

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
Add Journals Reset
Select Journals

Article Types

remove_circle_outline
remove_circle_outline
Add Article Types Reset
Select Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
Add Countries / Regions Reset
Select Countries / Regions
Update Search
share announcement

Search Results (6)

Search Parameters:
Authors = Radim Hercik ORCID = 0000-0001-8292-225X

Order results
Result details
Results per page
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
15 pages, 5160 KiB  
Article
Powering Agriculture IoT Sensors Using Natural Temperature Differences Between Air and Soil: Measurement and Evaluation
by Kamil Bancik, Jaromir Konecny, Jiri Konecny, Miroslav Mikus, Jan Choutka, Radim Hercik, Jiri Koziorek, Dangirutis Navikas, Darius Andriukaitis and Michal Prauzek
Sensors 2024, 24(23), 7687; https://doi.org/10.3390/s24237687 - 30 Nov 2024
Cited by 2 | Viewed by 1686
Abstract
As the need to monitor agriculture parameters intensifies, the development of new sensor nodes for data collection is crucial. These sensor types naturally require power for operation, but conventional battery-based power solutions have certain limitations. This study investigates the potential of harnessing the [...] Read more.
As the need to monitor agriculture parameters intensifies, the development of new sensor nodes for data collection is crucial. These sensor types naturally require power for operation, but conventional battery-based power solutions have certain limitations. This study investigates the potential of harnessing the natural temperature gradient between soil and air to power wireless sensor nodes deployed in environments such as agricultural areas or remote off-grid locations where the use of batteries as a power source is impractical. We evaluated existing devices that exploit similar energy sources and applied the results to develop a state-of-the-art device for extensive testing over a 12-month period. Our main objective was to precisely measure the temperature on a thermoelectric generator (TEG) (a Peltier cell, in particular) and assess the device’s energy yield. The device harvested 7852.2 J of electrical energy during the testing period. The experiment highlights the viability of using environmental temperature differences to power wireless sensor nodes in off-grid and battery-constrained applications. The results indicate significant potential for the device as a sustainable energy solution in agricultural monitoring scenarios. Full article
(This article belongs to the Special Issue Energy Harvesting and Machine Learning in IoT Sensors)
►▼ Show Figures

Figure 1

13 pages, 2920 KiB  
Article
Construction of a High-Temperature Sensor for Industry Based on Optical Fibers and Ruby Crystal
by Radim Hercík, Martin Mikolajek, Radek Byrtus, Stanislav Hejduk, Jan Látal, Aleš Vanderka, Zdeněk Macháček and Jiří Koziorek
Sensors 2024, 24(12), 3703; https://doi.org/10.3390/s24123703 - 7 Jun 2024
Cited by 1 | Viewed by 1992
Abstract
This paper presents the construction of an innovative high-temperature sensor based on the optical principle. The sensor is designed especially for the measurement of exhaust gases with a temperature range of up to +850 °C. The methodology is based on two principles-luminescence and [...] Read more.
This paper presents the construction of an innovative high-temperature sensor based on the optical principle. The sensor is designed especially for the measurement of exhaust gases with a temperature range of up to +850 °C. The methodology is based on two principles-luminescence and dark body radiation. The core of this study is the description of sensing element construction together with electronics and the system of photodiode dark current compensation. An advantage of this optical-based system is its immunity to strong magnetic fields. This study also discusses results achieved and further steps. The solution is covered by a European Patent. Full article
(This article belongs to the Section Optical Sensors)
►▼ Show Figures

Figure 1

19 pages, 7575 KiB  
Article
Using Interoperability between Mobile Robot and KNX Technology for Occupancy Monitoring in Smart Home Care
by Jan Vanus, Radim Hercik and Petr Bilik
Sensors 2023, 23(21), 8953; https://doi.org/10.3390/s23218953 - 3 Nov 2023
Cited by 2 | Viewed by 2503
Abstract
It is important for older and disabled people who live alone to be able to cope with the daily challenges of living at home. In order to support independent living, the Smart Home Care (SHC) concept offers the possibility of providing comfortable control [...] Read more.
It is important for older and disabled people who live alone to be able to cope with the daily challenges of living at home. In order to support independent living, the Smart Home Care (SHC) concept offers the possibility of providing comfortable control of operational and technical functions using a mobile robot for operating and assisting activities to support independent living for elderly and disabled people. This article presents a unique proposal for the implementation of interoperability between a mobile robot and KNX technology in a home environment within SHC automation to determine the presence of people and occupancy of occupied spaces in SHC using measured operational and technical variables (to determine the quality of the indoor environment), such as temperature, relative humidity, light intensity, and CO2 concentration, and to locate occupancy in SHC spaces using magnetic contacts monitoring the opening/closing of windows and doors by indirectly monitoring occupancy without the use of cameras. In this article, a novel method using nonlinear autoregressive Neural Networks (NN) with exogenous inputs and nonlinear autoregressive is used to predict the CO2 concentration waveform to transmit the information from KNX technology to mobile robots for monitoring and determining the occupancy of people in SHC with better than 98% accuracy. Full article
(This article belongs to the Special Issue Advanced Sensors Technologies Applied in Mobile Robotics: 2nd Edition)
►▼ Show Figures

Figure 1

16 pages, 3255 KiB  
Article
Identification of the Physical Dependencies of Accurate Oil Level Measurement for Automotive Applications
by Radim Hercik, Zdenek Machacek, Radek Byrtus and Jiri Koziorek
Appl. Sci. 2023, 13(13), 7707; https://doi.org/10.3390/app13137707 - 29 Jun 2023
Cited by 3 | Viewed by 1624
Abstract
The presented research addresses the problem of dependency analysis of the ultrasonic signal measured by a sensor in an engine oil bath. The dependency analysis is performed on a selected ultrasonic signal sensor solution containing its own generator and an ultrasonic signal receiver [...] Read more.
The presented research addresses the problem of dependency analysis of the ultrasonic signal measured by a sensor in an engine oil bath. The dependency analysis is performed on a selected ultrasonic signal sensor solution containing its own generator and an ultrasonic signal receiver detecting the level of the oil in which it is immersed. The influence of the resulting amplitude of the received ultrasonic signal is mainly due to the level of the measured oil level and the oil temperature, as shown by the regression analysis and ANOVA (Analysis of Variance) testing performed. The analyzed dependence of the time determination of the length of the generated ultrasonic signal envelope is given by a set threshold value, which can be dynamically adjusted based on the backtracking evaluation. The analysis results in the form of approximation by the dependency algorithm confirm the assumption of possible standardization of the envelope parameters with the achievement of accuracy up to 99.02%. The analyzed parameters approximated by the temperature and oil level dependence algorithms include the amplitude of the measured signal, steepness of the rising edge, duration of the envelope, and the digitally processed amplitude value. Full article
(This article belongs to the Section Applied Physics General)
►▼ Show Figures

Figure 1

14 pages, 587 KiB  
Data Descriptor
Collecting and Pre-Processing Data for Industry 4.0 Implementation Using Hydraulic Press
by Radim Hercik and Radek Svoboda
Data 2023, 8(4), 72; https://doi.org/10.3390/data8040072 - 15 Apr 2023
Cited by 2 | Viewed by 2497
Abstract
More and more activities are being undertaken to implement the Industry 4.0 concept in industrial practice. One of the biggest challenges is the digitization of existing industrial systems and heavy industry operations, where there is huge potential for optimizing and managing these processes [...] Read more.
More and more activities are being undertaken to implement the Industry 4.0 concept in industrial practice. One of the biggest challenges is the digitization of existing industrial systems and heavy industry operations, where there is huge potential for optimizing and managing these processes more efficiently, but this requires collecting large amounts of data, understanding, and evaluating it so that we can add value back based on it. This paper focuses on the collection, local pre-processing of data, and its subsequent transfer to the cloud from an industrial hydraulic press to create a comprehensive dataset that forms the basis for further digitization of the operation. The novelty lies mainly in the process of data collection and pre-processing in the framework of edge computing of large amounts of data. In the data pre-processing, data normalization methods are applied, which allow the data to be logically sorted, tagged, and linked, which also allows the data to be efficiently compressed, thus, dynamically creating a complex dataset for later use in the process digitization. Full article
►▼ Show Figures

Figure 1

18 pages, 2790 KiB  
Article
Implementation of Autonomous Mobile Robot in SmartFactory
by Radim Hercik, Radek Byrtus, Rene Jaros and Jiri Koziorek
Appl. Sci. 2022, 12(17), 8912; https://doi.org/10.3390/app12178912 - 5 Sep 2022
Cited by 31 | Viewed by 8590
Abstract
This study deals with the technology of autonomous mobile robots (AMR) and their implementation on the SmartFactory production line at the Technical University of Ostrava. The task of the mobile robot is to cooperate with the production line, take over the manufactured products, [...] Read more.
This study deals with the technology of autonomous mobile robots (AMR) and their implementation on the SmartFactory production line at the Technical University of Ostrava. The task of the mobile robot is to cooperate with the production line, take over the manufactured products, and then deliver them. The content also includes a description of the individual steps that were necessary to make the mobile robot operational, such as loading a virtual map of the space, creating a network for communication with the mobile robot, and programming it. The main part of the experiment deals with testing the accuracy of moving the mobile robot to each position and establishing communication between the production line and the mobile robot. A high accuracy is a necessity in this process. The result of the study is the configuration of the autonomous mobile robot. The repetitive precision of the approach of the autonomous mobile robot to a position is ±3 mm. Full article
(This article belongs to the Special Issue Trajectory Analysis, Positioning and Control of Mobile Robots)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying article 1-50 on page 1 of 1.
Back to TopTop