The traditional method does not calculate the moving distance parameter when detecting coverage vulnerabilities, so its coverage performance is poor. The clustering algorithm can effectively calculate the moving dista...
详细信息
The traditional method does not calculate the moving distance parameter when detecting coverage vulnerabilities, so its coverage performance is poor. The clustering algorithm can effectively calculate the moving distance parameter. Therefore, a method to detect the coverage hole in wireless sensor network based on clustering algorithm was proposed. Firstly, the parameter of coverage hole in wireless sensor network were calculated, including the moving distance parameters, circular intersection area parameters and redundancy parameters. Secondly, the algorithm of hole edge intersection was used to judge edge nodes of coverage holes in wireless sensor network. By judging whether there was a hole edge intersection on the sensing circle, the edge nodes of coverage holes in wireless sensor network could be determined. Thirdly, the mobile nodes were deployed in the way of airdrop, and then they were distributed evenly. The density of the initially deployed mobile nodes should meet the highest coverage requirement in wireless sensor network. After determining the edge nodes of coverage holes in wireless sensor network, the deployed mobile nodes were used to find the edge nodes of coverage holes in wireless sensor networks by random walk. Meanwhile, the coverage holes were approximated by the set of edge nodes. Finally, it was able to detect the coverage holes in wireless sensor network by clustering algorithm, including the detection of hole shape and the judgment of holes size. In order to verify the gap coverage performance of the coverage hole detection method based on clustering algorithm, the traditional method was compared with the proposed method. Experimental results show that the gap coverage performance of the proposed method is better than that of traditional method. The gap coverage performance of this method is 389 T, while the traditional method is only 351 T. so this method is more suitable for the detection of coverage hole in wireless sensor network.
Ozone is an active gas in the atmosphere. Its content is quite low, but it plays an important role in protecting the health of human beings and other living things on earth. Ozone circulates in the atmosphere, and its...
详细信息
The joint combat of multiple fighter formations is an important means of attack in modern warfare. We can respond in a timely manner if the enemy's flight formations can be predicted in advance. That is significan...
详细信息
ISBN:
(纸本)9781728185750
The joint combat of multiple fighter formations is an important means of attack in modern warfare. We can respond in a timely manner if the enemy's flight formations can be predicted in advance. That is significant to our combat deployment and countermeasures. Based on the needs and characteristics of aircraft formation analysis and prediction, this paper uses a density-based clustering algorithm to automatically identify flight formations, and uses a large amount of real aircraft data for testing. The test results of the examples show that the proposed method can be more accurate to identify aircraft flying in formation.
This paper describes navigation method usable in agriculture plant row for mobile robot. The proposed method with clustering algorithm uses data obtained by Hokuyo laser sensor. Using the created solution it is possib...
详细信息
ISBN:
(纸本)9781728103624
This paper describes navigation method usable in agriculture plant row for mobile robot. The proposed method with clustering algorithm uses data obtained by Hokuyo laser sensor. Using the created solution it is possible to determine plant in a row when mobile robot using the local navigation principle. Crops in a row are characteristic waypoints that create the vertices of the polygon. From this polygon the center of gravity is calculated, which determines the center position of the plant row. From this polygon the center of gravity is calculated, which determines the center position of the plant row. This position is used for mobile robot control algorithm. The processed data by scanners provide information not only on waypoints but also on any obstacles in the agricultural plant row.
The clustering algorithm has a very important application in the data mining technology, and can achieve good results in the data classification operation. With the rapid development of the network communication techn...
详细信息
ISBN:
(纸本)9783030152352;9783030152345
The clustering algorithm has a very important application in the data mining technology, and can achieve good results in the data classification operation. With the rapid development of the network communication technology and the personal computers and other digital devices, the real-time computer desktop image transmission technology has been widely used. The computer desktop image compression algorithm based on the block classification can effectively realize the compression and storage of the computer desktop images, and significantly improve the speed and quality of the computer desktop image transmission.
The cultural heritage is a unique and irreplaceable witness of our past and it is vulnerable to natural disasters and anthropic behaviors. A rating evaluation system for smart museum environment parameter can serve as...
详细信息
ISBN:
(纸本)9781728158556
The cultural heritage is a unique and irreplaceable witness of our past and it is vulnerable to natural disasters and anthropic behaviors. A rating evaluation system for smart museum environment parameter can serve as a reference for decision-making. However, this field is in short in preventive conservation strategies aimed to assure the protection, or increase the life expectancy in museums. This paper proposes a rating evaluation for museum environment parameter data based on improved K-Means clustering algorithm by introducing weighted cluster center function. Presented improved K-Means improves the clustering effect by weakening the random initial cluster center selection easy to fall into the local optimal results. Experimental results demonstrate that the improved clustering algorithm is not only more stable in clustering process, but can reduce the impact of the noise data. The presented rating evaluation for museum environment parameter data can provide the basis for reasonable, effective regulation and control of museum environmental parameters.
In three-phase unbalanced management, static var generator (SVG) can be used as a current source to compensate unbalanced load and reduce three-phase unbalanced node voltage. Reasonable configuration of SVG compensati...
详细信息
ISBN:
(纸本)9781728143903
In three-phase unbalanced management, static var generator (SVG) can be used as a current source to compensate unbalanced load and reduce three-phase unbalanced node voltage. Reasonable configuration of SVG compensation points can not only improve the governance effect of three-phase imbalance, but also reduce the investment cost. Aiming at the problem of reasonable configuration of SVG compensation points, this paper proposes a negative sequence current based clustering algorithm to determine SVG compensation points, and establishes a mathematical model to solve the compensation capacity of SVG with the objective of negative sequence voltage, network loss and minimum investment cost. The feasibility and economy of the proposed method are verified by IEEE33-bus simulation.
In this paper, an unsupervised clustering algorithm based on the Gaussian Mixture Model (UCGMM algorithm) for the coherent optical OFDM communication system is proposed to determine the constellation diagram. The purp...
详细信息
ISBN:
(纸本)9781510639607
In this paper, an unsupervised clustering algorithm based on the Gaussian Mixture Model (UCGMM algorithm) for the coherent optical OFDM communication system is proposed to determine the constellation diagram. The purpose of nonlinear equalization of communication systems is achieved. In a back to back transmission system, compared to the K-means algorithm and the without any clustering algorithm, the UCGMM algorithm can obtain gains of approximately 0.6dB and 2dB respectively. For the cases of simulation in optical fiber transmission, the transmission distance of UCGMM algorithm is extended by 45km relative to the K-means algorithm, and 75km relative to without any clustering algorithm. In both cases, the effectiveness of the proposed UCGMM algorithm in nonlinear equilibrium is proved.
This paper studies the path planning problem of multi-UAVs with multiple missions under complicated constraints, and proposes a new approach to provide optimal paths for each UAV such that the task completion time wou...
详细信息
ISBN:
(纸本)9781728143231;9781728143224
This paper studies the path planning problem of multi-UAVs with multiple missions under complicated constraints, and proposes a new approach to provide optimal paths for each UAV such that the task completion time would be minimized. First, with the model of UAVs, we analyze the object function and travelling constraints of the path planning problem. Then, by considering the limit of the maximum yaw angle of UAVs, we propose an efficient approach to solve the path planning problem by combining the improved clustering by Fast Search and Find of Density Peaks algorithm (CFSDP) and ant colony system (ACS) algorithm together. The propose approach not only helps UAVs in covering the cruise valid areas, but also finds the shortest tasks completion time for each UAV to perform the searching task. Finally, we use simulation experiments randomly generated targets to verify the effectiveness of the proposed approach.
For many express companies, express shops are the first line of serving customers. Reasonable location of express shops is very important to improve customer satisfaction. To balance the operation cost for the express...
详细信息
ISBN:
(纸本)9781538672204
For many express companies, express shops are the first line of serving customers. Reasonable location of express shops is very important to improve customer satisfaction. To balance the operation cost for the express company and the convenience of customers, we need to shorten the distance of customers to their closest shop while maintaining an appropriate express amount at each shop. In order to optimize the location of express shops, a heuristic clustering algorithm considering the constraints of service scope and service capability is proposed. The validity of the model is validated by DB Shanghai regional data, and the constrained clustering algorithm is compared with immune genetic algorithm and K-means method. The results show that, within the ideal service capacity and distance constraints, the proposed clustering algorithm can cover 31%-35% more demand than immune genetic algorithm, 1.4%-13% higher than K- means method.
暂无评论