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The paper presents a control system for biotechnological processes, using an image processing-based biomass concentration transducer. The advantages of using such transducers are the low price and the response time, which is faster than any off-line measuring method. These advantages do not exclude the accuracy of the measurement. The chosen case study is a yeast growth process, a typical biotechnological...
In this paper a model-based fault detection method of actuators in a biological wastewater treatment process is proposed. Using an extended Kalman filter, the states of a WWTP model are estimated. Then, comparing the estimated states affected by actuator faults with the model of the process, the residuals are generated. Simulation results show that faults can be detected effectively using this method.
This paper deals with the measurement of the biomass concentration in a bioprocess, with a final purpose of building an on-line concentration transducer, for the control of a continuous bioprocess. The proposed method is based on processing the images of the target population, captured by a camera under a regular bright field microscope. The image processing algorithm for this method was developed...
In this paper is presented a fault detection method for a biological wastewater treatment process (WWTP) based on residual generation. The residuals were determined by comparing the process model affected by different faults with its neural model. The simulation results demonstrate that this approach is efficient for detecting faults which occurs in biotechnological processes.
The paper presents an acquisition system, intended to be used for recording the images of the pavement in front of a vehicle and the geographic position where the images were taken. The main advantages of this system are: easy to deploy in a regular car, low-cost, easy to use acquisition and recording software. The system is based on a cheap and widespread board, Raspberry Pi. It can record images...
This research deals with the use of artificial neural networks for modeling a nonlinear biotechnological process, thus approximating a nonlinear function. In the absence of a mathematical model, an artificial neural network trained with a set of representative data can successfully replace and predict the system's behavior in time. Furthermore, this approximation is useful in the identification algorithms,...
This research evaluates the cell growth stages in a culture of Saccharomyces cerevisiae yeast using image processing algorithm. This algorithm is able to detect intracellular patterns, cell size and other parameters which determines the growth stage of cells (young, mature, in division, old, dead cell) using image clustering methods. The images studied in the present work were captured using a regular...
This paper presents an alternative approach of intelligent control: the pattern recognizing systems. The main idea is to endow the control system with the ability to learn from the experience generated by the interaction with the environment (the control object and the external world). Learning implies generalization and abstraction, through recognition of synthetic entities, which concentrate the...
This work evaluates the possibility of measuring the biomass concentration and diagnosing the cell viability in non-stained cultures of yeast cells through image processing techniques. The algorithm presented in this study is validated on Saccharomyces cerevisiae cells. It processes the images acquired off-line on a bright field microscope, in order to enhance the features of the cells, to assess...
The paper presents an acquisition system, intended to be used for recording the vibrations of the vehicles. The system can be used in easy-to-mount experiments, for assessment of the status of the pavement, status of the vehicle and comfort of the passengers. It is intended to allow an alternative to the large and expensive systems performing off-line vehicle vibrations measurements. It also can add...
In this paper, we propose a genetic algorithm for the separation of two mixed acoustic signals in their independent components. The genetic algorithm is implemented in two variants that use different evaluation functions. The first variant uses statistical properties provided by a normalized version of the fourth moment of the probability density function of the signal, called kurtosis, while the...
Airborne ultrasonic images are not often used in practice, mainly because of the poor air propagation properties of ultrasonic frequencies and high necessary computation resources. The availability of powerful signal processors and the need to have solutions in some special environments, such as dark, smog or fog, require the reconsideration of airborne ultrasonic images, using classic or classic...
The paper considers the uncertainty modeling and compensation in the context of ultrasonic image generation with fixed working frequency. From the set of uncertainty sources, which could be considered at the level of sonar systems, the present work considers only one source: the uncertainty at the level of the receiver transducers, expressed by two phenomena: side-lobes, possibly slow time variables,...
“Designer drugs” have been synthesized since the early 1980s. Amphetamines, generally referred to as phenylethylamines, are the class of compounds with the largest number of individual substances on the illicit drug market. We are presenting an easy-to-use ICT application providing a fast and reliable screening of amphetamines and of their main precursors (representing also drugs-of abuse). The application...
The paper presents some preliminary results of airborne ultrasonic image generation and processing. The work relates to mobile robots which use artificial vision to navigate and to recognize objects from the environment. Ultrasonic images are generated by sonar heads. The images are obtained by a discrete approach, i.e. element by element. Two methods of building ultrasonic images are presented, both...
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