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Keyword: matlab/simulink

  • DOMINANT TECHNOLOGIES IN “INDUSTRY 4.0”

    Preliminary use of hydrogen for ozone concentration control

    • Satoru Tada
    • Takeshi Tanaka
    • Masayuki Yamauchi
    • Koji Kakugawa
    • Katia Vutova
    Industry 4.0, Vol. 8 (2023), Issue 4, pg(s) 123-125
    • Abstract
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    •  Article PDF

    We achieved a CT(ozone concentration(ppm) X exposure time(min) )value of 60, which can inactivate coronavirus from 1/10 to 1/100 by operating for 24 h at an appropriate ozone concentration (less than 0.1 ppm) using feedback control in the previous report. In this system, the only way to reduce the ozone concentration is the decomposition reaction of ozone in the natural world, and it was not possible to cope with the rapid increase in ozone. In this study, we investigated the reduction of ozone concentration using hydrogen. As a result, it was clarified that the concentration of ozone rapidly decreased even with about 1/100 of hydrogen’s explosion limit (about 4%).

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    Basic use of OpenWeatherMap for an IoT system with Sigfox

    • Takeshi Tanaka
    • Satoru Tada
    • Masayuki Yamauchi
    • Koji Kakugawa
    • Katia Vutova
    Industry 4.0, Vol. 8 (2023), Issue 1, pg(s) 1-4
    • Abstract
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    •  Article PDF

    Using the Sigfox network, one of LPWA (Low Power Wide Area), and the Internet, we developed a temperature, humidity, pressure, and Internet of Things devices with different sensors to measure various physical data. It is much simpler to work with weather data when using OpenWeatherMap’s widely recognizable weather products. In this study, OpenWeatherMap’s meteorological data were captured every 15 minutes using are Sigfox communication, which is one of LPWA. These data were transferred to ThingSpeak using MATLAB analysis and time control of ThingSpeak.

  • Implementation of INS for control of robots with a DC motor

    • Boţek P.
    • Mudrikova A.
    Industry 4.0, Vol. 4 (2019), Issue 3, pg(s) 116-119
    • Abstract
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    This paper describes the activity system and the importance of INS with the possibility of implementation to the robot control. The contribution also introduces the execution of DC motor regulation utilized for the positioning of a rotary positioned arm. The motor control comprises the current regulation, angular velocity and the rotation of the motor shaft fixed to the arm regarding the required angular change course of the arm rotation. The regulation structure of the DC motor is carried out in MATLAB/Simulink program. The arm movement is investigated via the mathematical model and virtual dynamic model formed in MSC.ADAMS program.

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