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EN
In case of considerable traffic congestion in an airport, transportation of passengers to city centre may become a challenging task, since airports are generally located far from the centre. In this study, transportation of passengers, who arrive at an airport, to the city centre has been handled. A mathematical model has been developed, which minimises total costs arising from both, the time passed, while passengers are waiting for a vehicle, and the dispatching of a significant amount of vehicles for transporting the passengers. By utilising the proposed model, in addition to matter of when to dispatch, it is also possible to specify which type of vehicles, and how many of them should be dispatched at each time interval. Ultimately, it is reported that such a plan has a great potential to enhance the productivity.
EN
Detailed knowledge about the temperature distribution achieved in the target area is essential for the development of magnetic hyperthermia treatments. However, the temperature inhomogeneity was found in all local hyperthermia studies. As a consequence of the impossibility of guaranteeing the temperature and thus the thermal dose distribution, hyperthermia is never applied as a single treatment modality. We suggest a model that enables the calculations and optimization of the spatial-time distribution of the temperature in the target volume (i.e. tumor) caused by magnetically heated elements: (i) arrays of clusters of iron oxides magnetite (Fe_3O_4) magnetic nanoparticles, and (ii) arrays of magnetic needles. In order to find the spatial-time temperature distribution in tumor, the bioheat transfer equation is solved for the two above-mentioned arrays of magnetically heated sources embedded in the tumor. The temporal and spatial temperature distributions were calculated with regard to the effect of blood perfusion in the tumor. It is shown that a matrix of magnetic micro-needles injected in the tumor could provide rather uniform tumor heating with the center-edge temperature difference smaller than 3°C at any times during the magnetic hyperthermia treatments. The temperature profiles can be suitably adjusted by a proper choice of the magnetic nanoparticles arrangement.
Acta Physica Polonica A
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2017
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vol. 132
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issue 3
1134-1139
EN
Maximum power point trackers are in charge of absorbing the maximum potential power from the photovoltaic panels. Thus, this makes the maximum power point trackers the fundamental parts of the photovoltaic panel systems. The conventional maximum power point tracker algorithms are working well under balanced insolation conditions, however when the partial shade condition occurs, those algorithms are trapped at the local maxima. Hence, under partial shade conditions, the need for a global maximum power point tracking algorithm arises. Particle swarm optimization is a preferential algorithm of maximum power point trackers in literature, especially in partial shade conditions. This paper is focused on improving the existing particle swarm optimization algorithm for maximum power point trackers. The proposed advanced particle swarm optimization algorithm aims to catch the global maximum power point much faster, accurately and to reduce the chatter in the power curve. The proposed method accelerates the global maximum tracking time with gridding the initial search area. The effectiveness of the proposed method is demonstrated with simulation results and these results are compared with a conventional particle swarm optimization method under step changes in irradiance and partial shade conditions of an array of photovoltaic panels.
EN
The "real time" technique of high dose rate brachytherapy of the prostate gland is described from the point of view of the medical physicist, as an illustration of modern radiotherapy techniques currently applied at the Centre of Oncology in Krakow. This technique, based on ultrasound imaging and on-line calculations of dose distribution around catheters inserted into the prostate volume in which a radioactive Ir-192 source is moved with the aid of an afterloading apparatus, is performed in operating-room conditions in close cooperation with the physician within stringent time limits.
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EN
One of the main problems in path planning for multiple mobile robots is to find the optimal path between two points so that robots can follow the shortest path and consume the least energy. Also, motion planning is important to avoid collisions if multiple mobile robots are running together within environments with obstacles. In this study, motion planning for multiple robots has been proposed. It is desired that robots could move in coordination with each other from the starting point to the destination point on a plane. The coordinates of the objects and mobile robots have been acquired using image processing with a single ceiling camera. The path planning for the shortest distance has been performed using A* algorithm in dynamic frame between robot-object and object-target point, respectively. A graphical user interface has been developed based on MATLAB GUI. It is hoped that the developed system will have a wide area of applications in industry and will make important contributions for the improvement of manufacturing, assembly, transportation and storage technologies.
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