Mikulas Huba

Bio: Mikulas Huba is an academic researcher from Slovak University of Technology in Bratislava. The author has contributed to research in topics: PID controller & Control theory. The author has an hindex of 17, co-authored 163 publications receiving 1284 citations. Previous affiliations of Mikulas Huba include Rolf C. Hagen Group.

Modular Approach to Teaching PID Control

Abstract: This paper describes a blended learning approach in teaching ?Constrained Time-Delayed Proportional-Integral-Derivative Control.? It is based on the ?learning by doing? paradigm supported by several e-learning tools: by the interactive electronic course materials in Moodle; by the laboratory of low-cost and easy-to-manipulate plants; and by the virtual laboratory WebLAB. These open the access to study and experiment on real systems via Internet for 24 h/day, seven days a week. Synergy of the newly structured theory developed to deal with real-world constraints with the interactive content delivery and with active learning based on simulations, real-time experiments in laboratories, and tele-experiments via Internet offers stimulating and quasi-authentic learning environment. These give students multiple formative feedback, ranging from computer quizzes to plant reactions in a rich variety of authentic situations.

From e-Learning to Industry 4.0

Abstract: Keywords like Flexible Learning revolution, e-Learning, Life-Long Learning, Learning Management Systems (LMS), Blended Learning, Flipped Classrooms, Learning Analytics, or Massive Open Online Courses (MOOCs) represent just few of the headlines dominating the last two decades of the education development. All of them are strongly influenced and conditioned by the Internet phenomenon. Of course, this list is still far from being complete. One could continue with numerous more recent keywords as Cloud Computing, Internet of Things, or Industry 4.0 that are again strongly related to the Internet. All these words appeared as slogans of numerous campaigns in the society development typically having a hype-cycle features. The presentation commemorates several moments of previous development, the good, the bad and the ugly. In such a context it introduces the latest initiative presented as Industry 4.0 and its importance for the automotive industry in Slovakia. Then it raises several questions concerning sustainability of the future development. Based on previous experience it concludes by the statement that the slogan Industry 4.0 is not complete. If it will not simultaneously include also massive extension to Industry. 4.University and Industry.4.Teachers activities, a sustainable development will be seriously jeopardized, at least in the Central Europe.

Current Trends in Remote Laboratories

Abstract: Remote laboratories have been introduced during the last few decades into engineering education processes as well as integrated within e-learning frameworks offered to engineering and science students. Remote laboratories are also being used to support life-long learning and student's autonomous learning activities. In this paper, after a brief overview of state-of-the-art technologies in the development of remote laboratories and presentation of recent and interesting examples of remote laboratories in several areas related with industrial electronics education, some current trends and challenges are also identified and discussed.

Virtual and remote labs in education

Abstract: Laboratory experimentation plays an essential role in engineering and scientific education. Virtual and remote labs reduce the costs associated with conventional hands-on labs due to their required equipment, space, and maintenance staff. Furthermore, they provide additional benefits such as supporting distance learning, improving lab accessibility to handicapped people, and increasing safety for dangerous experimentation. This paper analyzes the literature on virtual and remote labs from its beginnings to 2015, identifying the most influential publications, the most researched topics, and how the interest in those topics has evolved along the way. To do so, bibliographical data gathered from ISI Web of Science, Scopus and GRC2014 have been examined using two prominent bibliometric approaches: science mapping and performance analysis. Display Omitted Laboratory experimentation plays an essential role in engineering and sci-entific education.Virtual and remote labs are emerging as a valuable alternative to conven-tional hands-on labs.This paper analyzes the literature on virtual and remote labs from 1993 to 2015.4405 records retrieved from ISI Web of Science, Scopus and GRC2014 are processed.Two bibliometric approaches are applied: performance analysis and science mapping.

A Remote Laboratory in Engineering Measurement

Abstract: Online engineering practice is offering nowadays new potentials for training of measurement technologies and experimental procedures. In a laboratory mainly devoted to instrumentation for measurement by hands-on activity in engineering fields, students and engineering professionals are using, at present, online experiments in a blended-learning approach. A set of experiments has been designed and developed as well as some virtual simulators. The experiments integrated in a Moodle platform are using a Web-server system based on LabVIEW 7.1, linked to them by data acquisition interface cards, a video server, and a booking system developed as an extension of the Moodle platform. This paper reports a particular setup specially designed for remotely measuring and determining mechanical material properties and its combination with the design of a highly interactive user interface. The user may remotely conduct the experiment, getting numerical, graphical, and live video output information and receiving e-mailed experimental results.

Process Modelling, Identification, and Control

Abstract: Mathematical Modelling of Processes.- Analysis of Process Models.- Dynamical Behaviour of Processes.- Discrete-Time Process Models.- Process Identification.- The Control Problem and Design of Simple Controllers.- Optimal Process Control.- Predictive Control.- Adaptive Control.