In recent years, drones have been widely used in various applications, from entertainment, agriculture, their use in photo and video services, military applications and so on. The risk of accidents while using a drone is quite high. To meet this risk, the most important solution is to use a device that helps and simplifies the control of a drone; in addition, the training of drone pilots is very important. To train the drone pilots, both physical and virtual environments can be used, but the probability of an accident is higher for beginners, so the safest method is to train in a virtual environment. The aim of this study is to develop a new device for controlling a drone in a virtual environment. This device is attached to the upper limb of the person involved in the control of that drone. For precise control, the newly created device uses MEMS sensor technology and artificial intelligence-specific methods.
Informational society needs major changes in the educational programs, being necessary to prepare teachers from all fields, in such way to use the information technologies in computer assisted learning. The computer, as auxiliary element of the teacher, is used since few decades, but the new technologies appeared in computer science lead to the necessity to adapt the learning/teaching methodologies in such way to be based increasingly on information technology. This paper presents a software package, which can be used as educational software, for study the power electronics. This study deals with the simulation of power electronic circuits by using PSCAD EMTDC software. Since the equations and functions can be represented in blocks, simulation method is simple and versatile. The PSCAD models of single and three-phase rectifiers, PWM choppers and inverters, AC choppers, are developed and performance waveforms are obtained. This study would be useful for obtaining a quick solution for, power electronic networks and for more complex systems containing power electronic circuits. ß
The traditional systems used in the physiotherapy rehabilitation process are evolving towards more advanced systems that use virtual reality (VR) environments so that the patient in the rehabilitation process can perform various exercises in an interactive way, thus improving the patient’s motivation and reducing the therapist’s work. The paper presents a VR simulator for an intelligent robotic system of physiotherapeutic rehabilitation of the ankle of a person who has had a stroke. This simulator can interact with a real human subject by attaching a sensor that contains a gyroscope and accelerometer to identify the position and acceleration of foot movement on three axes. An electromyography (EMG) sensor is also attached to the patient’s leg muscles to measure muscle activity because a patient who is in a worse condition has weaker muscle activity. The data collected from the sensors are taken by an intelligent module that uses machine learning to create new levels of exercise and control of the robotic rehabilitation structure of the virtual environment. Starting from these objectives, the virtual reality simulator created will have a low dependence on the therapist, this being the main improvement over other simulators already created for this purpose.
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