The aim of this project was to create a tool for improvement of microemulsions formulation process. Microemulsions are promising drug forms allowing for improvement of solubility and enabling controlled release of drugs. As a modeling tool, artificial neural networks (ANNs) were chosen. ME _expert system was created basing on the neural expert committee constructed of 11 neural models. ANN were designed to predict occurrence of microemulsion basing on its particular quantitative and quantitative compostion. Generalization abilities of ME _expert were tested in laboratory trials, where 77% of accuracy was found for unknown composition of microemulsion.
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Artykuł dotyczy dwóch aspektów badawczych silnie ze sobą powiązanych: konstrukcyjno-systemowego - budowy bezprzewodowego i bezbateryjnego interfejsu dla mikroczujników/mikrosystemów o znamionach uniwersalności oraz sprawdzenia nowych tanich technologii realizacji tego interfejsu. Interfejs wykonany został z elementów dyskretnych na podłożach LTCC, PET, LCP oraz na standardowym laminacie (FR4) z wykorzystaniem odpowiednich dla tych technologii procesów wytwarzania ścieżek przewodzących i montażu elementów. Przedstawione zostały zarówno wyniki dotyczące testów samych podłoży jak i całego skonstruowanego interfejsu.
EN
The paper presents research and construction aspects of universal wireless and battery less smart sensor system made with four different techniques. In this work FR4 laminate (PCB), Low Temperature Co-fired Ceramics (LTCC), Liquid Crystal Polymer (LCP) and Polyethylene Terephthalate foil (PET) were used as an interface electronic and sensor board. Suitable for the type of substrate four different techniques and materials were used to fabricate conductive traces and to mount electronic components. The interface operation idea was tested using build up hardware and software. The paper reports comparison of electrical parameters obtained in the tests for each type of board with complete realized wireless interface.
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In this paper a double source images fusion algorithm is presented. Its task is to enhance temperature feature of objects located on the scene. Presented solution is design to be executed in real-time environment. It consists of three stages: in the first part the differences between acquired double source images are examined in order to determine their intersection. Then for each analysed image the contours of all objects located on the scene are determined. This operation is essential to solve disparition issue. In the last stage, based on determined contours and their match coefficient the images are fused. The enhanced temperature feature is displayed on one image acquired from day-light camera.
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Robotic vehicles autonomy is the subject of many researches performed by various institutions. There is growing tendency to conduct research in the field of autonomous mobile units, unmanned vehicles and robots moving without operator supervision. Authors of this article presents the concept of the modularized subsystem implementing the functionality of the mobile platform navigation in an unknown environment. The concept has been implemented in the real mobile robot.
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