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ISBN: 9783031170911
Language: English
Pages: 1 Online-Ressource(XIX, 681 p. 347 illus., 291 illus. in color.)
Edition: 1st ed. 2023.
Series Statement: Lecture Notes in Networks and Systems 524
Parallel Title: Erscheint auch als
Parallel Title: Erscheint auch als
Keywords: Engineering—Data processing. ; Computational intelligence. ; Cooperating objects (Computer systems). ; Industrial engineering. ; Production engineering. ; Engineering
Abstract: Novel Dynamometer: the Gripwise -- Software Configurable Hardware-based Remote Laboratory System -- Software Configurable Hardware-based Remote Laboratory System -- Printed Wearable Accessories For Electrochemical Applications -- AES Hardware Implementation Based On FPGA With Improved Throughput -- The Impact of Digitization on the Romanian Music Therapists -- New Laccase Portable Monitor -- Remote Microelectronics Experimentation based on VISIR Remote Laboratory: Expanding VISIR Functionalities -- Development Of a Simulator Tool For Teaching The Autonomous Vehicles Behavior -- Work in Progress: Hardware Design of a Smart Wristband Used for Epileptic Seizure Detection.
Abstract: Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparable connected for example with Internet of Things & Industrial Internet of Things (Industry 4.0), Online & Biomedical Engineering, Data Science, Machine Learning, and Artificial Intelligence, Cross & Mixed Reality, and Remote Working Environments. to name only a few. Since the first REV conference in 2004, we tried to focus on the upcoming use of the Internet for engineering tasks and the opportunities as well as challenges around it. Consequently, the motto of this year’s REV2022 was “Artificial Intelligence and Online Engineering”. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation and other related new technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber-Security, and M2M & Smart Objects. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and Open Resources. REV2022 was the 19th in a series of annual events concerning the area of Online Engineering. It has been organized in cooperation with The British University in Egypt (BUE), Cairo, as a hybrid event from February 28 until March 02, 2022.
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  • 2
    Online Resource
    Online Resource
    In:  Artificial Intelligence and Online Engineering (2023), Seite 112-124 | year:2023 | pages:112-124
    ISBN: 9783031170911
    Language: English
    Titel der Quelle: Artificial Intelligence and Online Engineering
    Publ. der Quelle: Cham : Springer International Publishing, 2023
    Angaben zur Quelle: (2023), Seite 112-124
    Angaben zur Quelle: year:2023
    Angaben zur Quelle: pages:112-124
    Abstract: This work will focus on the problems of creating a safe distributed laboratory. We explicitly will not discuss how to make individual elements of an experiment safe, as this is highly application-dependent. Instead, the goal is to find and evaluate different methods to detect and respond to fault conditions that an individual laboratory device might detect. Specifically, the methods should differentiate between user-based faults and those introduced through network communications. We develop a mathematical model to simulate distributed laboratories. We will introduce (time-dependent) network latency and jitter between all elements. Based on the model, a discrete event simulation is created. This simulation environment simulates three different fault detecting methods: the token method, the timestamp method, and the full-state-transfer method. We will compare detection ratios, bandwidth usage, and memory usage between the three methods based on the simulation.
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  • 3
    ISBN: 9783031170911
    Language: English
    Titel der Quelle: Artificial Intelligence and Online Engineering
    Publ. der Quelle: Cham : Springer International Publishing, 2023
    Angaben zur Quelle: (2023), Seite 81-91
    Angaben zur Quelle: year:2023
    Angaben zur Quelle: pages:81-91
    Abstract: The paper presents a method for extending the diversity of virtual experiments in remotely controlled laboratories. Using the example of experiments controlling the model of a manufacturing cell, it is shown how a variety of different experiments can be achieved by synthesizing new variants of the structure of this manufacturing cell. The manufacturing cell is used to process workpieces and consists of elements such as conveyors, turntables, processing devices, and others. Each of these devices is represented by a variety of discrete sensors and actuators, where the sensors are inputs and the actuators are outputs to the control system, which must be designed by the student as a finite state machine (FSM). The devices with their sensors and actuators, as well as visual and virtual device models, are grouped together as a structure constructor. Here, the visual model of a device is a set of graphic objects whose visual properties depend on the values of the tags of the virtual model. The virtual model of the device specifies the graphical (tag values) and functional (values of the inputs of the FSM) response of the device model to the control signals of the FSM. The requirements for the structure of the manufacturing cell are determined by the sequence of operations for processing the workpiece. As a result of the synthesis of the manufacturing cell structure, the following are determined: the composition and location of the devices on the working field of the system; their visual reactions to temporal changes in the values of the outputs of the FSM; the values of the inputs in response to the control signals (=outputs of the FSM); and the values of the variables of the relationship with neighboring devices. The proposed method can be useful in organizing a laboratory workshop on the design of parallel and hierarchical control automata.
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