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
Dairy cows identification and monitoring on small cattle farms are usually based on the utilization of barcode technology. This kind of identification technology is unsuitable for dairy cows milking and feeding process automation. Radio Frequency Identification (RFID) technology is a better solution in this case. This paper describes the research and implementation of the milking cycle´s automated monitoring with the use of RFID tags conducted on a small cattle farm in the Republic of Serbia. This solution is based on RFID system which consists of two parts. First part includes control box, two Ultra High Frequency (UHF) RFID readers operating at frequency of 915 MHz and RFID tags glued onto the dairy cow ear labels. Second part includes software modules for acquisition and collecting data from RFID tags to build up an archive due to supervision and analysis of the milking cycle. Reading accuracy of RFID system in the observed period was 99.8 % in average. A group of dairy cows having a settled milking cycle within an interval of 12h ± 5 % had a 1.5 % better yield and a 0.08 better quality in comparison with a group of dairy cows having a milking cycle variance higher than 20 %. RFID system implemented in described way can be easily integrated into a new or existing farm management system in order to have better production results which depend on several factors including settled milking cycles.
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.
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.
U radu se razmatra problem motivacije studenata za učenje glazbe u kontekstu obaveznoga glazbenog obrazovanja na studijima za buduće učitelje razredne nastave. Namjera je uputiti na čimbenike motivacije studenata za učenje glazbe kako bi nastava glazbe na učiteljskom studiju bila što učinkovitija te kako bi se olakšalo stjecanje kompetencija za vođenje nastave glazbe budućih učitelja. Predstavljene su tri teorije motivacije koje se konceptualno mogu primijeniti na motivaciju studenata, budućih učitelja za učenje glazbe na studiju, a to su atribucijska teorija, teorija ciljne orijentacije i teorija očekivanja-vrednovanja. Primjenom navedenih teorija na kontekst učenja glazbe na učiteljskim studijima istaknule su se varijable percepcije sposobnosti studenata, ulaganja truda, uspješnosti, afektivne i vrijednosne komponente motivacije. Teorija koja obuhvaća najviše elemenata važnih za glazbeno obrazovanje studenata učiteljskih studija jest teorija očekivanja-vrednovanja koja bi se mogla rabiti u budućim istraživanjima. Pregled dosadašnjih istraživanja motivacije u glazbenom obrazovanju pokazao je kako nastavnici mogu djelovati na povećanje motivacije za učenje glazbe ohrabrivanjem studenata na usvajanje atribucija vezanih uz ulaganje truda, poticanjem ciljne orijentacije studenata prema ciljevima učenja, omogućavanjem uspješnosti studenata u glazbi, ponudom brojnih i različitih glazbenih zadataka, ocjenjivanjem studenata temeljem uloženoga truda te sustavnim djelovanjem na razvoj vrijednosne komponente stavova studenata o glazbenom obrazovanju.
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