Drone swarms are being utilized in several areas, e.g., monitoring, surveillance, security, and search, demonstrating great potential. In this paper, we considered a specific number of drones flying simultaneously (us...
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ISBN:
(纸本)9781665462808
Drone swarms are being utilized in several areas, e.g., monitoring, surveillance, security, and search, demonstrating great potential. In this paper, we considered a specific number of drones flying simultaneously (using computational intelligence techniques between them to avoid collisions) and increased the effectiveness in conducting search tasks. The main contribution of this work is to propose a technique to coordinate the swarm using search methods based on the A* a*algorithm and its heuristics (i.e., Euclidean and Manhattan distances). The communication between drones is also evaluated and applied to a target search problem on a two-dimensional cost map. The results show a considerable optimization in the effectiveness of the drone swarm (fewer drones are blocked at local minima), which highlights the contribution of this work.
In order to solve the collision problems between multiple RFID tags and improve the identification efficiency, this work presents an improved dynamic framed slotted ALOHA Anti-collision a*algorithm for RFID systems. Bas...
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ISBN:
(纸本)9781479919376
In order to solve the collision problems between multiple RFID tags and improve the identification efficiency, this work presents an improved dynamic framed slotted ALOHA Anti-collision a*algorithm for RFID systems. Based on the time slot distribution information, the a*algorithm estimates the average number of tags in each collision slot and then dynamically sets the frame size for unrecognized tags due to the collision between multiple tags. We theoretically analyzed the time complexity of the proposed a*algorithm. Simulation results demonstrate that our proposed a*algorithm outperforms other existing a*algorithms in the literature in terms of the identification efficiency and the total number of time slots.
A higher level of coverage is required for many sensitive applications. Though initial work on target coverage problems in wireless sensor networks used binary sensing model, a more realistic sensing model, the probab...
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ISBN:
(纸本)9783642271717
A higher level of coverage is required for many sensitive applications. Though initial work on target coverage problems in wireless sensor networks used binary sensing model, a more realistic sensing model, the probabilistic sensing model has been used later. This work considers probabilistic k-coverage;where the required level of coverage has to be satisfied with k sensors and each target should also be monitored with a specific probability. We compute the optimal deployment location of sensor nodes, such that the probabilistic coverage as well as the k-coverage requirement is satisfied with the required sensing range being optimal. Preliminary results of using artificial bee colony a*algorithm to solve deployment problem for probabilistic target k-coverage is reported in this paper.
In vascular interventional surgery, accurate path planning is essential to improve surgical success and reduce risk. This paper aimed to verify the effectiveness and practicability of the A* a*algorithm in the shortest ...
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ISBN:
(纸本)9798350388084;9798350388077
In vascular interventional surgery, accurate path planning is essential to improve surgical success and reduce risk. This paper aimed to verify the effectiveness and practicability of the A* a*algorithm in the shortest path planning of vascular interventional surgical robot systems. Computed tomography angiography (CTA) vascular images were processed in advance to extract features and calibrate obstacles, simulating the path planning problem in vascular interventional surgery. The A* a*algorithm was then employed to search for the shortest path from the starting point to the endpoint. Based on the planned path, assistance could be provided to surgeons during operative procedures. The experimental results indicated that the A* a*algorithm effectively navigated obstacles and identified the shortest path. Moreover, through user-interactive design, this paper offered an intuitive operational experience, allowing users to interactively choose start and end points and display the a*algorithm's search process and outcomes in real-time. This paper demonstrated the potential application of the A* a*algorithm within vascular structures and laid the groundwork for the future development of more efficient and intelligent systems for planning and navigating vascular interventional surgeries.
In the edge-cloud environment, offloading technique decides the task to be executed either at the cloud or at the edge. Offloading can improve the quality of service and the efficiency of the system. In most previous ...
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ISBN:
(纸本)9783030590161;9783030590154
In the edge-cloud environment, offloading technique decides the task to be executed either at the cloud or at the edge. Offloading can improve the quality of service and the efficiency of the system. In most previous works on the offloading problem, the communication costs between tasks on both cloud side or the edge side are often ignored. We consider a general offloading model where the communication costs between any two tasks is non-zero and asymmetric. Moreover, due to the resource limitation on the edge side, we assume that the number of tasks executed on the edge side is bounded by a fixed constant k. This generalized offloading problem is NP-hard in minimizing the total cost with cardinality constraint. Based on semidefinite program, we give an approximation a*algorithm with the performance guarantee of 2/pi.
According to the problem of optimal power flow (OPF), the optimization objectives including minimization of total fuel cost for generating units, minimization of emission for atmospheric pollutants, minimization of ac...
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ISBN:
(纸本)9783037859124
According to the problem of optimal power flow (OPF), the optimization objectives including minimization of total fuel cost for generating units, minimization of emission for atmospheric pollutants, minimization of active power losses and minimization of voltages deviations are established. The paper uses fuzzy membership functions instead of multi-objective functions to form fuzzy optimal power flow in the optimal power flow calculation process. The novel artificial bee colony (ABC) a*algorithm is proposed to solve OPF problem with multi-objective. The proposed approach is applied to the OPF problem on IEEE30 test systems. And the simulation results verify the effectiveness of the proposed method.
In this paper, an effective ant colony a*algorithm is proposed for solving the graph planarization problem. In the proposed a*algorithm, two kinds of pheromone are adopted to reinforce the search ability, and each kind of...
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ISBN:
(纸本)9783642245527;9783642245534
In this paper, an effective ant colony a*algorithm is proposed for solving the graph planarization problem. In the proposed a*algorithm, two kinds of pheromone are adopted to reinforce the search ability, and each kind of pheromone consists of two elements. The proposed a*algorithm is verified by a large number of simulation runs and compared with other a*algorithms. The experiment results show that the proposed a*algorithm performs remarkably well and outperforms its competitors.
This work presents the utilization of African Vulture Optimization a*algorithm (AVOA) to solve the Economic Load Dispatch (ELD) problem. To simulate practical conditions, both transmission losses and the effect of valve...
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ISBN:
(纸本)9798350384901;9798350384895
This work presents the utilization of African Vulture Optimization a*algorithm (AVOA) to solve the Economic Load Dispatch (ELD) problem. To simulate practical conditions, both transmission losses and the effect of valve-point loading were considered. The a*algorithm was applied to a 6-bus system, under a 600 MW and 850 MW loading condition. The results were compared to that of other optimization techniques, such as Particle Swarm Optimization ( PSO), Bat a*algorithm (BA), and Whale Optimization a*algorithm (WOA). Results were analyzed in terms of best result, worst result, average value, and standard deviation. Results for the average test for both the 600 MW and 850 MW tests indicated the capability of the AVOA to produce average superiorities of up to 53.98% and 45.26% respectively. The convergence curves of the various tests indicated the capability of the AVOA to produce a superior result in a short space of time and converge quickly.
The signal characteristics varies so fast that too of noise signal, for cancellation of noise and handling of it is very difficult. The FIR filter would not able to converge fast so that we get the desired output. In ...
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ISBN:
(纸本)9781728188768
The signal characteristics varies so fast that too of noise signal, for cancellation of noise and handling of it is very difficult. The FIR filter would not able to converge fast so that we get the desired output. In that case we have go for the other option, adaptive filters may be utilize because of their fast convergent rate. Least Mean Square (LMS), Normalized Least Mean Squares (NLMS) and Recursive Least Squares (RLS) a*algorithms frequently used. But these a*algorithms have problems of high computational complexity and stability, for that Averaging a*algorithm is applied because of its fast convergence rate and low computation complexity. In the present work we are implementing Averaging a*algorithm for noise reduction in the signals of the musical instruments. For that we have done experiments with Gaussian noise. The implementation is done on Matlab software.
作者：
Zhou, HangHu, Xiao-BingCivil Aviat Univ China CAUC
Sino European Inst Aviat Engn SIAE Tianjin Peoples R China CAUC
CAUC ENAC Joint Res Ctr Appl Math Air Traff Manag Tianjin Peoples R China CAUC
Coll Elect Informat & Automat Tianjin Peoples R China
In order to overcome the demerits of traditional city air terminals, a new service mode based on urban mobile stations for providing the urban luggage check-in service is proposed in this study. The station locations ...
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ISBN:
(纸本)9781728172705
In order to overcome the demerits of traditional city air terminals, a new service mode based on urban mobile stations for providing the urban luggage check-in service is proposed in this study. The station locations are dynamically allocated based on the real-time passenger distribution. Three aspects including the average distance from passengers to urban mobile stations, the maximum tolerable distance, and the maximum service capacity are considered. An effective hybrid a*algorithm is developed, in which the ripple-spreading a*algorithm is applied for solving many-to-many path optimization problems and an adaptive genetic a*algorithm is developed for locating stations. In a case study of Tianjin, China, the proposed method is applied to allocate the urban mobile stations. The service performance of the new mode is compared with that of the traditional city air terminals mode to show the advantages.
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