This paper aims to present data analysis of quadcopter dynamic attitude on a circular trajectory, specifically by comparing the modeling results conventional Proportional Integral Derivative (PID) and Fuzzy-PID controllers. Simulations stability with both control systems were done using Simulink toolbox from Matlab so identification each system is clearly seen. Each algorithm related roll pitch angles which affects horizontal movement trajectory explained in detail. The outcome tuning...

The paper presents a study regarding the possibility to develop drowsiness detection system for car drivers based on three types of methods: EEG and EOG signal processing driver image analysis. In previous works authors have described researches first two methods. this studied detect drowsy or alert state images taken during driving by analyzing driver's eyes: opened, half-opened closed. For purpose kinds artificial neural networks were employed: 1 hidden layer network an autoencoder network.

Implementation of control systems for metal machining process is leading to better quality products, increase productivity and decrease environmental impact. These are analyzing various types data, acquired by sensors IoT devices, predict, make classifications generate decisions. imply all phases. By the surface roughness, can be controlled, decision if resulting product accepted or should rejected taken, decisions regarding maintenance tasks generated, that may replacement cutting tools....

The article outlines various approaches to developing a fuzzy decision algorithm designed for monitoring and issuing warnings about driver drowsiness. This is based on analyzing EOG (electrooculography) signals eye state images with the aim of preventing accidents. drowsiness warning system comprises key components that learn about, analyze make decisions regarding driver’s alertness status. outcomes this analysis can then trigger if identified as being in drowsy state. Driver characterized...

Flexibility of manufacturing systems is an essential factor in maintaining the competitiveness industrial production. can be defined several ways and according to factors, but order obtain adequate results implementing a flexible system able compete on market, high level autonomy (free human intervention) must achieved. There are many factors that disturb production process reduce system, because need intervention overcome these disturbances. One tool wear. The aim this paper present...

This study presents a detailed analysis of an air monitoring development system using quadcopters. The data collecting method is based on gas dispersion investigation to pinpoint the source location and determine concentration level. Due its flexibility low cost, quadcopter was integrated with sensors collect required data. started sensor placement their correlation generated vortex. reliability response time used duration collection process. dynamic nature environment makes technique...

There is a great diversity of ways to use fuzzy inference in robot control systems, either the place where it applied scheme or form type algorithms used. On other hand, artificial neural networks ability simulate nonlinear systems used different researches order develop automated industrial processes. In these applications networks, there are two important steps: system identification (development process model) and development (definition structure). this paper we present some modelling...

An unbalanced propeller can affect a quadcopter’s performance due to vibration, also decreasing its thrust’s yield. Analyses were conducted determine the correlation between vibration in dynamic movement of balanced and an imbalanced using laser vibrometer (portable digital vibrometer) PDV-100, rotational speed as well propeller’s maximum avoid over-vibration. The analysis was on carbon fiber 2-blade by comparing results tests with blade contour. response has been analyzed at three points,...

Intelligent Building, as a concept, has been established nearly 30 years ago, and it covered the field of building automation. In time, concept evolved to cover more dynamic systems complex elements, which actively responds user's demands. As result project named Intelbuild (HURO 0802/155_AF), University Oradea Debrecen had developed laboratory platform with research equipment software support in Building domain. Our paper synthesizes ideas related applications can be these software. The...

In this paper the authors describe results of experiments for surface roughness image acquisition and processing in order to develop an automated control system. This implies finding a characteristic parameter (for example Ra) on bases information contained surface. To achieve goal we use quasi-fractal characteristics fuzzy clustering methods.

A Brain-Computer Interface uses measurements of scalp electric potential (electroencephalography - EEG) reflecting brain activity, to communicate with external devices. Recent developments in electronics and computer sciences have enabled applications that may help users disabilities also develop new types Human Machine Interfaces. By producing modifications their the can perform control different In order actions, this EEG signals must be processed proper algorithms. Our approach is based...

A current modeling framework for disturbance in manufacturing systems (MS) is given by concepts like discrete-event systems, stochastic fluid models and infinitesimal analysis. The goal of to achieve control structural functional optimization MS. Objective functions these are focused on quantities which reflect the level reliability, manufactured products, quality products or impact environment MS with disturbances. These do not allow a dynamic evaluation consequences disturbances appears...

Abstract The paper presents the results of research on use hierarchical models with colored Petri nets in evaluation automated systems for preparation and analysis metallographic specimens. Modeling was used to evaluate performance a robotic system samples. is composed three subsystems: subsystem samples, attack reagent Two were made: model simple colors timed complex colors. Each developed two levels. Level 1 contains entire flexible 2 consists sub-models: sub-model Models allow terms...

There are several human activities where the awareness and conscious control is a very important factor: vehicle driving, heavy equipment operation, hazardous materials manipulation.In these cases drowsiness can be cause of injury or even death.For example car driver one causes serious traffic accidents, which makes this an area significant importance.Continuous monitoring driver's operator's great importance if we want to reduce accidents due fault.If detected in time, part could...

A Brain-Computer Interface uses measurements of scalp electric potential (electroencephalography - EEG) reflecting brain activity, to communicate with external devices. Recent developments in electronics and computer sciences have enabled applications that may help users disabilities also develop new types Human Machine Interfaces. By producing modifications their the can perform control different In order actions, this EEG signals must be processed proper algorithms. Our approach is based...

Road transport is an important factor in carbon dioxide emissions. These emissions can be reduced by improving propulsion sources and traffic flow (avoiding jams due to accidents). This article presents a system for monitoring warning the driver prevent possible accident involving material damage, injury, or loss of life. The performs video order determine his state (tired attentive). By reducing incidents jams, energy consumed will not wasted; thus, more sustainable use achieved.

The design techniques of flexible manufacturing systems deal, among other methods, with the application high level Petri Nets. modeling and simulation a cell (FMC) can be done by implementing hierarchical based on Colored Timed This paper is focused decisions strategies in colored techniques. In this context we discuss decision making for machine, parts allocated tools transitions. FMC model designed operating at laboratory Faculty Managerial Technological Engineering, University Oradea....

The increasing sophistication of computer programs and communication systems requires the development more efficient interactive human-computer interfaces. One solution to this problem could be brain-machine aim paper is explore possibilities using context dependent interpretations EEG signals, in addition signal processing techniques.

In Flexible manufacturing field the Fuzzy application found in to solve conflict situation, production routing, and control system. present days, produce a product according Delivery dates is an important issue Manufacturing industry. order focus on this issue, we try problem by implementing fuzzy rules due dates. The are divided three sections such as Early Due Dates (EDD), Exact (EXACT), Over (OVER). flexible cell two other parameters part processing time number of tools which described...

Electro-oculograms (EOGs) are signals generated by the movement of muscles around user's eyes when moving. These can be registered Ag/AgCl electrodes adhered to skin and coupled a data acquisition device (usually an analog-to-digital converter) used in different control applications perfectly healthy or even disabled people. In this application, we recorded EOG with 24-bit, 4 channel, 51.2 kS/s per channel sampling rate converter (ADC), from which only 3 input channels, analyzed these...

In this paper a development of distance learning system using virtual reality and augmented techniques will be presented, having two research directions: use applications in the e-labs for students, master students researchers, systems simulation robotic respectively, based on movements environment. Development e-lab application involves realization calibration sensors existence communication that uses Internet. The robot controlled remotely via Internet is 5-axis Mitsubishi RV-M1 Movemaster...