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This paper describes the course Systems for Supervision and Process Visualization that is conducted at the undergraduate studies of Mechatronics at University of Novi Sad, the scope, tasks, labs and hands on activities. In addition, it presents the student evaluation of the course that provided valuable feedback for further improvements. © 2013 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:54–62, 2015; View this article online at http://wileyonlinelibrary.com/journal/cae; DOI

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Industry 4.0 is a paradigm that enhances industrial automation systems with the recent advances in the domain of the Internet of Things (IoT), gaining new possibilities and providing new services. Traditional industrial machines do not have IoT capabilities, and in order to integrate such a machine into Industry 4.0, there is a need for an intermediary device or system that communicates with the machine through its supported communication interfaces and protocols and forwards the communication to the global network. This paper presents the development and experimental validation of a low-cost hardware module that can easily integrate the machine’s existing control unit into the IoT and enable synchronization of the measurements and states of the variables of the machine and its environment with a cloud server. The developed module is universal, can connect to any control unit that is able to communicate through basic RS232 serial communication, and does not require the control unit to have any higher level communication protocol implemented. On the other end, the presented solution uses a dedicated smartphone application to provide remote monitoring and control of the machine through the cloud by using the synchronized variable states, as well as further possibilities for storing, processing, and analyzing the historical data from the system. The developed solution was experimentally validated on an experimental setup consisting of a conveyor belt driven by a three-phase asynchronous electromotor controlled by a programmable logic controller through a variable-frequency drive.

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Abstract. Food product traceability from harvesting, through food processing to the final food product and through the retailer to the end consumer is a significant process that has to ensure food quality and safety. The traceability enables the end consumer to get information from all previous stages of the food product, leading back to the food origin. In this way, the consumer can get more information on the specific product, and thus make a decision on buying the product that suits his needs best. In each stage of the food product transformation, important data are generated for the subsequent chain participants. Every participant should have access to certain data of interest to them. This can be achieved by using automated identification technologies, like RFID (Radio Frequency IDentification) and two-dimensional barcode, which allow faster data acquisition, recording and reading processes than the traditional means, and provide up-to-date information in each product stage. Furthermore, these technologies allow the possibility to record large amounts of data for each specific product, and interconnect all the data in a database. This paper discusses the process of providing traceability of food products, recording, transmitting and reading of significant data in specific stages of food product chain, with the application of automated identification technologies, including the possibility of obtaining additional data from a database, according to appropriate access level of each participant in the chain. Advantages and disadvantages of automated identification technologies are discussed, with the proposition for using specific technologies in certain food product stages.

Many applications including Industry 4.0, Smart City, Building Management, Car of the Future, Smart Home and Connected Health use IoT (Internet of Things). IoT is changing the way businesses and consumers, even whole cities interact through connected devices. In the future, with Internet of Everything (IoE), every entity (people, machines, animals, cars, buildings, etc.) will have possibilities for direct interconnections. Forecasts show that over 20 billion connected devices will reach the market by 2020. Ninety percent of cars are expected to be connected, too. These wide range of industry and consumer applications have growing needs for IoT and many common elements such as decentralization, real-time requirements, sensory or measurement capabilities, a communications layer and Big Dataanalytics/intelligence. Besides these well know common elements, also in many applications exit the need for payment. This additional requirement is known as the idea of IoT payments. In this paper is present some of challenges in implementation of IoT payments.

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