Medical delivery robot refers to the delivery robot used in the medical *** with ordinary delivery robots,the medical delivery robot needs to work in an environment with many people,which means that it needs to deal w...
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Medical delivery robot refers to the delivery robot used in the medical *** with ordinary delivery robots,the medical delivery robot needs to work in an environment with many people,which means that it needs to deal with many random obstacles at any *** article will discuss automatically avoiding obstacles,and formulate and compare algorithms to analyze the advantages and disadvantages of automatic road exploration algorithms of different *** order to accomplish this goal,this paper will use Matlab as the main development tool and use the A-star algorithm and the Euclid algorithm as the main heuristics in the main mathematical model of the *** program needs to be able to complete the obstacle avoidance task in a map with random size,random position,random shape,and random number of obstacles,and be able to reach the end point from the starting *** addition,this paper will also discuss the efficiency of the A-star algorithm and the dijkstra algorithm in obstacle avoidance and route planning,and demonstrate why the A-star algorithm is more efficient by taking time and congestion indicators.
The aim of this study is to analyse dynamic programming in large scale, complex networks is more important in the fields of scientific and engineering. Recent applications needs the analysis of scale-free networks wit...
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This study copes with the problem of finding the optimal route that a pedestrian could follow in order to move into an urban environment taking into consideration various criteria and possible points of interest, eith...
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ISBN:
(纸本)9783030694791;9783030694807
This study copes with the problem of finding the optimal route that a pedestrian could follow in order to move into an urban environment taking into consideration various criteria and possible points of interest, either objective nor subjective. For this purpose, an appropriate computational model has been designed, based on Cellular Automata (CA) that responds taking into consideration the walkability of the urban area under study. The latter feature encompasses a variety of qualitative parameters in regard to the pedestrian mobility. Thus, this model aims at enforcing more sustainable transport approaches, such as walking. In order to evaluate the functionality of the proposed model, an initial application is carried out in the city of Xanthi, North-East Greece, in order to verify the plausibility and completeness of the proposed routes in different scenarios.
Background and purpose: This study developed a trajectory search method for biaxially rotational dynamic- radiation therapy (BROAD-RT) using a new O-ring-shaped linac, aimed at identifying a patient-specific trajector...
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Background and purpose: This study developed a trajectory search method for biaxially rotational dynamic- radiation therapy (BROAD-RT) using a new O-ring-shaped linac, aimed at identifying a patient-specific trajectory in a commercial treatment planning system. Subsequently, its efficacy in the treatment of pancreatic cancer was assessed. Materials and methods: BROAD-RT is a beam delivery technique in which the gantry and O-ring are simultaneously rotated around two axes. A beam's eye view-based structure map was generated, and the dijkstra algorithm was then applied to explore the BROAD-RT for minimizing radiation doses to critical organs in RayStation. This procedure was evaluated in 10 patients with pancreatic cancer. For each patient, two different plans were created: volumetric modulated arc therapy (VMAT) plan with coplanar and BROAD-RT trajectory. The effects of different trajectories on the plan and dosimetric indices were assessed for each delivery technique. Results: The mean modulation complexity score for VMAT (MCSv) and aperture area (AA) (x103 cm2) were 0.3 f 0.0 and 24.8 f 3.9 for the coplanar trajectory and 0.4 f 0.1 and 35.2 f 7.1 for the BROAD-RT trajectory, respectively, with both MCSv (p = 5 x 10- 5) and AA (p = 0.0002) values significantly higher for the BROAD-RT trajectory. Dose difference between the coplanar and BROAD-RT trajectories reduced the dose to the stomach and duodenum. Conclusions: Our study conducted an automated search for patient-specific BROAD-RT trajectory using a new Oring-shaped linac and implemented these trajectories in RayStation. Dose distributions were reduced in the intermediate-dose regions with BROAD-RT trajectory.
Aiming at the problem of the shortest path's optimization for direct navigation of ships, the dijkstra algorithm search is improved. The environment of the ship's navigation area was modeled by rasterization a...
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ISBN:
(纸本)9781728158556
Aiming at the problem of the shortest path's optimization for direct navigation of ships, the dijkstra algorithm search is improved. The environment of the ship's navigation area was modeled by rasterization and swelling. Then the four-direction search,eight-direction search and arbitrary-angle search based on the dijkstra algorithm were improved, and the three search methods were compared. Simulation experiments and research results show that the improved arbitrary angle search method can best meet the requirement of the shortest direct flight path.
Safe lane changing of the dynamic industrial park and port scenarios with autonomous trucks involves the problem of planning an effective and smooth trajectory. To solve this problem, we propose a new trajectory plann...
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Safe lane changing of the dynamic industrial park and port scenarios with autonomous trucks involves the problem of planning an effective and smooth trajectory. To solve this problem, we propose a new trajectory planning method based on the dijkstra algorithm, which combines the dijkstra algorithm with a cost function model and the Bezier curve. The cost function model is established to filter target trajectories to obtain the optimal target trajectory. The third-order Bezier curve is employed to smooth the optimal target trajectory. Road experiments are carried out with an autonomous truck to illustrate the effectiveness and smoothness of the proposed method. Compared with other conventional methods, the improved method can generate a more effective and smoother trajectory in the truck lane change.
With the rapid economic and social development of our country, the number of private cars has also increased rapidly, and at the same time, the problems of noise pollution and environmental pollution have become more ...
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With the rapid economic and social development of our country, the number of private cars has also increased rapidly, and at the same time, the problems of noise pollution and environmental pollution have become more and more prominent. As a kind of new energy vehicle, electric vehicle has quickly entered people's field of vision with its advantages of no pollution, low noise, convenient use and high energy utilization efficiency. However, wide-spread and universal adoption of electric vehicles requires a well-established infrastructure for electric vehicles, namely a network of charging facilities. Nowadays, there are still problems such as unreasonable location selection and unsound network in the setting of charging stations. It is urgent to analyze the current road network and build a reasonable charging station selection model. With the help of geographic information system, this paper analyzes and integrates the traffic hot spots and road network in Lingang area of Shanghai, and constructs a charging station site selection model with the help of charging station accessibility and charging station construction cost. The model composition is determined, and reference opinions are provided for the site selection and construction of the charging station.
In order to better solve the path planning problem, our paper extends the two-dimensional path planning to three-dimensional *** spatial modeling method based on the surface model rasterizes the three-dimensional spac...
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ISBN:
(纸本)9781728176871
In order to better solve the path planning problem, our paper extends the two-dimensional path planning to three-dimensional *** spatial modeling method based on the surface model rasterizes the three-dimensional space for environmental modeling, and by improving the dijkstra algorithm, the diagonal search and the linear search at any angle are designed. Experiments show that the linear search can effectively plan the optimal path.
The data on the collective dose reduction of a nuclear power plant's personnel after the introduction of new dose limits by the International Commission for Radiological Protection (ICRP) (Publication 60) in 1990 ...
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The data on the collective dose reduction of a nuclear power plant's personnel after the introduction of new dose limits by the International Commission for Radiological Protection (ICRP) (Publication 60) in 1990 are presented. The main methods of personnel irradiation reduction are formulated, which are namely: to impact on radiation parameters, to increase the distance between a radiation source and a person, and to reduce the exposure time in radiation fields. The ways to implement one of the basic principles of radiation safety, the principle of optimization, are described. The possibility of route optimization in minimizing the personnel dose costs when moving in heterogeneous radiation fields is shown. The results of the algorithm development for solving the "dosimetrist problem" using the dijkstra algorithm and dynamic programming are presented, including determining the optimal route with visiting given points in the room and bypassing possible obstacles. An interpolation algorithm based on the method of radial basic functions for constructing a radiation map of a room is proposed and implemented. The results of a computational experiment using the "Uran" supercomputer and the assessment of the developed algorithm efficiency are given. The results of experimental verification of the developed algorithm for solving the "dosimetrist problem" using interpolation in the operating nuclear power plant conditions are presented.
The effectiveness of the path plan is the main factor of the evacuation affecting the amount of exposure to personnel, however, the effect of the radiation field distribution has not been fully considered in current s...
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The effectiveness of the path plan is the main factor of the evacuation affecting the amount of exposure to personnel, however, the effect of the radiation field distribution has not been fully considered in current studies. In this paper, a Minimizing Collective dose based Path-Planning method (MCPP) was proposed. Among which, the accumulative dose based dijkstra algorithm was proposed to find the optimal evacuation routes, and then the equilibrium model considering road resistance was used to formulate the optimal evacuation path plan under nuclear accidents, in which the obtained routes were reasonably arranged to evacuate all people with minimize collective dose. This paper used the Daya Bay Nuclear Power Station as an application scenario for evacuation simulation to verify the effectiveness of the method. The results showed that the path plan formulated by MCPP method could reasonably reduce personnel radiation exposure during the evacuation process. (C) 2020 Elsevier Ltd. All rights reserved.
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