INTRODUCTION Development of mechatronic systems involves finding an optimal balance between the basic mechanical structure, sensor and actuator implementation, automatic information processing and overall control. Mechatronic systems are characterized by a combination of basic mechanical devices with a processing unit monitoring and controlling it via number of actuators and sensors. Therefore sensors are significant in the process of providing usable output to microcontrollers. Wide range of sensors are available for constructing mechatronic systems. Sensors can be divided into two big groups: Active and Passive. Other type of classification is by the means of detection used in the sensor. Some of the means are electric, chemical, radioactive etc. Various types of sensors are classified by their measuring objectives for example light sensors, temperature sensors, flow sensors etc. MATERIALS AND METHODS In the process of constructing a mechatronic system a proper setup and signal processing must be provided. There exist certain problems with several sensors, therefore sometimes additional circuits for signal conditioning are made to linearize the output with hardware, but some researchers and developers try to linearize the signal using software. In modern manufacturing equipment very complex systems of devices and sensors are made therefore, they must function correctly because they are the main control parameters. It is particularly important that such control parameters that bring about a correct actual behavior in relation to the reference behavior of such a system are available as a function of time. This means that the parameters must be such that the actual behavior of the system corresponds as closely as possible to the reference behavior. Some examples of such systems are: Robot arms, which move a tool, such as a laser or burr removing tool, for example, which is to be guided along a particulary contour line of a workpiece. Heating systems which are intended to impart a particulary temperature profile to a workpiece. The input data of sensors is crucial for mechatronic systems. A large part of the system is equipped with sensors that read the most important parameters – location coordinates, altitude, compass readings, distance to the barrier (for robots and unmanned aerial vehicles), temperature (heaters and coolers), lighting, etc. Often, some types of sensors give floating data, processing which, a computer or controller acting under an algorithm develops non-physical, inexecutable commands for the final control elements. This results in an increasing load of engines, heating elements, and other actuators, as well as inappropriately increasing energy consumption. The well-known PID algorithm and numerical approximation with built-in MatLab or MATCAD functions does not provide a solution for autonomous systems with controllers that have limited memory and speed of operation. RESULTS New methods that approximate sensor data and are applicable to both analogue and PWM (Pulse-Width-Modulation)-controlled devices have been developed in the paper. The first proposed – derivative - method relates to the restriction of the function direction coefficient module. The second method – the growth bisection method enables smooth sensor data to be obtained. The derivation method is based on limitation of the maximum function increment to a specified level. The growth bisection (proportional) method is based on comparison of the increment module with the increment in the previous step and its proportional decrease by multiplying by a predefined constant. Both methods take up some lines in the control program code, and most mechatronic equipment is capable of real-time operation. CONCLUSIO Dynamic data background connection allows to obtain a self-learning system adapting to the nature of incoming data – a higher number of data will be used in case of minor changes; in contrast, only the last data saved will be used for a rapid change. A system response delay is negligible.
<p><em>Teamwork skills are key feature for Information Technology (IT) specialists. The university IT curriculum contains both IT specific courses, and comprehensive courses. Due to limited amount of the learning courses and efficient achievement of learning goals, it is necessary to look for opportunities to integrate activities developing social and communication skills courses into IT specific courses. Managing the teamwork that is close to practice, it is necessary to solve the problems of teaching and learning organisation, and assessment of individual learning outcomes and competences. In Liepāja University, the student teamwork has been managed for several years as integral part of Software Engineering courses and study projects. The course management system Moodle has been used in learning process providing possibilities to evaluate both assignments submitted by students and their learning behaviour. The current paper describes and analyses the experience of academic staff of Liepāja University.</em></p>
Life-long learning, including development of professional competence, is an essential paradigm of the 21st century. The goal of this research is to analyse the quality and efficiency of the educators’ professional competence enhancement programme dubbed “Fundamentals of Programming in Visual Programming Environment Scratch” in accordance with the following criteria: organization, lecturer’s competence, quality of handouts, content, expectations, usefulness, applicability, and the overall assessment of the programme. The target group of the research is 98 educators of Latvia. Data was collected using close and open questions to ensure triangulation of data. Results were analysed using SPSS 20. The correlation coefficient was used to analyse the data. Per the results of the analysis, the acquisition of the professional competence enhancement programme, educators have significantly improved their knowledge in programming, as well as the digital competence in general Keywords: educators’ professional competence; digital competence; fundamentals of programming; programming environment; Scratch.
This demonstration introduces the SIGCSE ComputingThe publication of tested laboratory materials in an on-line Laboratory Repository and will allow the audience to provide journal will be handled within the structure of the Lab feedback that will help tailor the interface. We illustrate two Repository.The prototype for the journal containing peerphases of the project. The current features of the Web-based reviewed lab materials will be presented during the Repository for submitting lab abstracts and searching for demonstration. Audience feedback will be summarized for use specific lab materials are introduced. Reactions of the audience by the Working Group on Designing Laboratory Materials for participants will help refine the Abstract Server.Computing Courses.
The current paper describes the use of game development for improvement of first year Computer Science students’ professional and social competencies. The computer-based education games play grateful platform for integration of knowledge and skills gained by students in several learning courses, i.e., programming, web-design, computer graphics and animation, introduction to software engineering, etc. The multidisciplinary character of the games provides possibilities to constitute teams with students from different study programs. Thereby the students get their first experience in cross-disciplinary communication. Key words: computer-based education, educational games, learning environment.
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