SAR.IoT: Secured Augmented Reality for IoT Devices Management

Currently, solutions based on the Internet of Things (IoT) concept are increasingly being adopted in several fields, namely, industry, agriculture, and home automation. The costs associated with this type of equipment is reasonably small, as IoT devices usually do not have output peripherals to display information about their status (e.g., a screen or a printer), although they may have informative LEDs, which is sometimes insufficient. For most IoT devices, the price of a minimalist display, to output and display the device’s running status (i.e., what the device is doing), might cost much more than the actual IoT device. Occasionally, it might become necessary to visualize the IoT device output, making it necessary to find solutions to show the hardware output information in real time, without requiring extra equipment, only what the administrator usually has with them. In order to solve the above, a technological solution that allows for the visualization of IoT device information in actual time, using augmented reality and a simple smartphone, was developed and analyzed. In addition, the system created integrates a security layer, at the level of AR, to secure the shown data from unwanted eyes. The results of the tests carried out allowed us to validate the operation of the solution when accessing the information of the IoT devices, verify the operation of the security layer in AR, analyze the interaction between smartphones, the platform, and the devices, and check which AR markers are most optimized for this use case. This work results in a secure augmented reality solution, which can be used with a simple smartphone, to monitor/manage IoT devices in industrial, laboratory or research environments.

IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES

Hyperspectral imaging (HSI) systems have been invaluable tools for over two decades, but there are few authoritative standards that characterize these systems or define the data and metadata they produce. Manufacturers calibrate instruments and report specifications differently and, in some cases, the same term has different definitions among HSI programs.To address these inconsistencies, the Institute of Electrical and Electronics Engineers (IEEE) Geoscience and Remote Sensing Society (GRSS) sponsored Project 4001 (P4001), a Hyperspectral Working Group under the auspices of IEEE’s Standards Association. Since its inception in 2018, the IEEE P4001 Working Group has been working to specify testing and characterization methods for HSI device manufacturers, as well as recommend data structures and terminology for HSI products.P4001 focuses on the ultraviolet through the shortwave infrared spectral range (~250 to 2500 nm) and prioritizes camera technologies that are in widespread use. Many aspects of the standard will have wider applicability with respect to camera technology and wavelength range, and updates will expand the range of technologies and topics covered. Industrial, laboratory and geoscience use cases are informing the development of the standard. Utilization of the P4001 HSI standard will lead to HSI systems with consistent characterization and calibration criteria, as well as interoperable data products with a common lexicon for data and metadata.

Alexei Vasilyevich Filippov and the State Museum of Ceramics

This article refers to previously unknown pages in the history of State Museum of Ceramics – its functioning as an industrial museum. The transformation of the Museum of Porcelain Art into the “industrial” State Museum of Ceramics took place in conditions of escalating discussion on the need for creating "industrial art” in the USSR. One of the initiators of such direction was the ceramic artist A. V. Filippov. His name earlier was not associated with the State Museum of Ceramics; however, Filippov contributed to the emergence of art-industrial laboratory in the museum structure, which not only experimented with manufacturing glazes and ceramic mixtures, but also set the production process. The novelty of this article lies in introduction into the scientific discourse of previously unknown archival documents, which allows tracing the history of origin of the art and ceramic laboratory. It was deemed that the structural division was opened in the State Museum of Ceramics. However, the laboratory was originally founded by A. V. Filippov at the Faculty of Ceramics of the Russian State Art and Technical School, then transferred to the Institute of Silicate Chemistry, and only in 1928 transferred from the Institute to the museum. The establishment of the laboratory has prompted a significant shift in the vector of development of the museum towards instusrial museum. It is also proven that Filippov developed the concept of exhibitory-manufacturing department in the museum, which included educational activity with interactive elements. These museum competencies would be in demand in the world museum practice only by the late XX century, which determines the activity of the State Museum of Ceramics during 1920s as innovative.

Optimization Performance Integral Criteria Based on Hybrid Soft Computing for QTS System

This research work proposed MPSO methods for nonlinear complex QTS process. This system is implemented in various process control industries, design, and development of a new controller to increase the better stability and improve the performance of integral criteria. This proposed work goal is to minimize parameters for process controller by statistical Taguchi method combined with mutation particle swarm optimization algorithm for industrial laboratory highly complex nonlinear QTS. The designed value is tested using Simulink model in MATLAB. Using proposed controller values are tested in the real experiment set up and experiment output response is reached. The various controller designed are PID controller for QTS. The result shows that TMPSO technique is provided the good result when compared with other approaches. The TMPSO techniques use for setting controller offers enhanced process specification such as better time domain specifications, smooth error reference tracking, and minimization of error in the nonlinear system.

Digital factory in the University of Pannonia Nagykanizsa Campus - the Factory Subsystem

One of the new challenges of the 21st century is the Industry 4.0. Manufacturing companies moving away from mass production and getting closer to customized production and manufacturing of customized products through digitization. The expectations are high, meeting the requirements is a real challenge to industrial partners. In order to help meet the challenges the University of Pannonia Nagykanizsa Campus started to establish a fully automatized industrial laboratory. In this paper the architecture of the Industry 4.0 laboratory and the purpose of the Factory Subsystem is presented.