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3 Journal of Medical Informatics & Technologies

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The visual detection and steering of medical autonomous vehicles

100%

Bernas M.

tom Vol. 24

133--140

The paper presents initial research on method, which improves precise indoor localization and steering of autonomous mobile devices that can be used for medical applications like: patient’s state monitoring, medicine distribution or environmental data collection before medical intervention (in case of biohazard or ﬁre). The localization of object is based on optical codes, which are modified to be easily identified from distance in low light. Multiple codes modification was tested to find optimal ones. The visual recognition system is using Hough transform and Canny edge detection to read values from code. The novelty of the proposed method is reading values directly from image, without scaling and rotation. Moreover, the steering algorithm for identified device is proposed. It takes distance and decision uncertainty under consideration. The proposed method was verified against state-of-the-art optical codes in real-world indoor environment. Finally, the further research directions are discussed.

Quantum road traffic model for ambulance travel time estimation

63%

Bernas M. , Wisniewska J.

tom Vol. 22

257--264

Efficient management of ambulance utilisation is a vital issue for life saving. Knowledge of the amount of time needed for an ambulance to get to the hospital and when it will be available for a new task, can be estimated using modern Intelligent Transport Systems. Their main feature is an ability to simulate the state of traffic not only in long term, but also the real time events like accidents or high congestion, using microscopic models. The paper introduces usage of Quantum Computing paradigm to propose a quantum model of road traffic, which can track the state of traffic and estimate the travel time of vehicles. Model, if run on quantum computer can simulate the traffic in vast areas in real time. Proposed model was verified against the cellular automata model. Finally, application of quantum microscopic traffic models for ambulance vehicles was taken into consideration.

Separation of groups of free radicals from noised EPR spectrum using genetic algorithm and gradient method

63%

Bernas M. , Ramos P.

tom Vol. 22

117--123

Different groups of free radicals exist in biological material like animal tissues or plants parts. The processes like heating or cooling creates additional types of free radicals groups in this organic matter, due to changes in chemical bonds. The paper proposes a method to determine types and concentrations of different groups of free radicals in the matter processed in various temperatures. The method extracts the spectrum of free radicals using electron paramagnetic resonance with the microwave power of 2.2 mW. Then an automatic method to find a best possible fit using limited number of theoretical mathematical functions is proposed. The match is found using spectrum filtration, and a genetic algorithm implementation supported by a Gradient Method. The obtained results were compared against the samples prepared by an expert. Finally, some remarks were given and new possibilities for future research were proposed.