The application of Wireless Charging Vehicle (WCV) based wireless energy transfer technology to recharge the wireless sensor network nodes is attracted a great deal of attention recently. In this paper, a novel multi-...
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ISBN:
(纸本)9781538685426
The application of Wireless Charging Vehicle (WCV) based wireless energy transfer technology to recharge the wireless sensor network nodes is attracted a great deal of attention recently. In this paper, a novel multi-node energy supplemental policy based on a circular cell for the wireless rechargeable sensor networks is proposed. In this policy, the WCV is used to charge the sensor node by traversal the center of the circular cells. For achieving the optimal WCV traversal path, a position distribution strategy of lower complexity for circular cells based on k-means algorithm to minimize the cluster quantity of circular cell and smallest enclosing circle algorithm to minimize the radius of each cell are given. Finally, the simulation results show that the position distribution strategy proposed in this paper can help to significantly reduce the WCV traversal time of each charge cycle.
With the rapid development of computer vision technology and image processing technology,image retrieval has also developed from simple text information query to complex content-based image retrieval,which is a proces...
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With the rapid development of computer vision technology and image processing technology,image retrieval has also developed from simple text information query to complex content-based image retrieval,which is a process from low-level to high-level *** paper mainly focuses on the content-based image retrieval method,to analyze the application of an optimized PAM algorithm based on fireworks particle swarm optimization in image retrieval.
The evaluation of region development of network has been a widespread concern in recent years. However, network development of a region, due to its specific characteristics and application scenario, should have a tail...
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ISBN:
(纸本)9789811075216;9789811075209
The evaluation of region development of network has been a widespread concern in recent years. However, network development of a region, due to its specific characteristics and application scenario, should have a tailor-made evaluation system. In this study, taking into account various factors in multiple fields, a multiple-index evaluation system is established. Then, a principal component analysis-based K-means clustering approach is proposed to address the analyzing problem with an acceptable complexity. A simulation experiment is implemented to verify the algorithm. The results can be used to compare the different areas telecommunication networks, and provide rational and effective suggestions for network planning and construction.
In this paper we propose a method of movie series recommender system development. Our recommender system is content-based, and movie series are represented by their scripts. We experiment with several semantic similar...
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ISBN:
(数字)9783030014377
ISBN:
(纸本)9783030014377;9783030014360
In this paper we propose a method of movie series recommender system development. Our recommender system is content-based, and movie series are represented by their scripts. We experiment with several semantic similarity measures, lexico-morphological metrics, keywords and vector space models to extract similar movie series. Evaluation is conducted in the experiment with informants. The best results are achieved by distributional semantic approach (i.e., using word2vec technology).
Opening new lines will bring the structural change of passenger flow characteristics in network operation of Urban Rail Transit. Based on the smart card data from Shenzhen Metro, temporal-spatial characteristics was d...
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ISBN:
(纸本)9781450360449
Opening new lines will bring the structural change of passenger flow characteristics in network operation of Urban Rail Transit. Based on the smart card data from Shenzhen Metro, temporal-spatial characteristics was discussed comprehensively from different statistics dimensions and analysis angles. At the same time, passenger flow in 28 transfer stations was analyzed by clustering algorithm and the land use nature was attained. Consequently, the passenger flow law in Shenzhen Metro will be understood better combined with visualization. Especially, when facing the risk of large passenger flow, targeted measures can be taken in advance to improve the safety and resilience of Shenzhen Metro.
Recently a density peaks based clustering algorithm (dubbed as DPC) was proposed to group data by setting up a decision graph and finding out cluster centers from the graph fast. It is simple but efficient since it is...
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Recently a density peaks based clustering algorithm (dubbed as DPC) was proposed to group data by setting up a decision graph and finding out cluster centers from the graph fast. It is simple but efficient since it is noniterative and needs few parameters. However, the improper selection of its parameter cutoff distance d(c) will lead to the wrong selection of initial cluster centers, but the DPC cannot correct it in the subsequent assignment process. Furthermore, in some cases, even the proper value of d(c) was set, initial cluster centers are still difficult to be selected from the decision graph. To overcome these defects, an adaptive clustering algorithm (named as ADPC-KNN) is proposed in this paper. We introduce the idea of K-nearest neighbors to compute the global parameter d(c) and the local density pi of each point, apply a new approach to select initial cluster centers automatically, and finally aggregate clusters if they are density reachable. The ADPC-KNN requires only one parameter and the clustering is automatic. Experiments on synthetic and real-world data show that the proposed clustering algorithm can often outperform DB-SCAN, DPC, K-Means++, Expectation Maximization (EM) and single-link. (C) 2017 Elsevier B.V. All rights reserved.
In order to improve the lifetime and throughput of wireless sensor networks under the limited power, an improved clustering algorithm is proposed in this paper on the basis of LEACH protocol. The energy factor is cons...
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In order to improve the lifetime and throughput of wireless sensor networks under the limited power, an improved clustering algorithm is proposed in this paper on the basis of LEACH protocol. The energy factor is considered in this algorithm. The residual energy of all sensor nodes is referred to select cluster-heads of wireless sensor networks. The new clustering algorithm effectively improves the energy efficiency, throughput and lifetime of wireless sensor networks. The results are proved by simulations.
Real-time monitoring of surface water quality is an intractable problem. A Soft-sensor method based on fuzzy neural network(FNN) is proposed to solve this problem in this paper. Firstly, the river data was analyzed by...
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Real-time monitoring of surface water quality is an intractable problem. A Soft-sensor method based on fuzzy neural network(FNN) is proposed to solve this problem in this paper. Firstly, the river data was analyzed by principal component analysis(PCA) to obtain related variables such as dissolved oxygen(DO) and ammonia nitrogen(NH3-N). Secondly, a multi-input soft-sensor method based on FNN is designed. The training data is preprocessed by Hierarchical clustering and K-means algorithm(H-K algorithm), which improves the accuracy of the soft-sensor method. Finally, the soft-sensor method is packaged and applied to Beijing Tonghui River. The results indicate that the FNN based soft-sensor can predict surface water quality simultaneously with suitable prediction accuracy.
We explore the use of M-ary frequency shift keying (FSK) as an integrated modulation/random access scheme for wireless sensor networks whereby multiple sensor nodes may transmit data simultaneously to a master node. S...
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We explore the use of M-ary frequency shift keying (FSK) as an integrated modulation/random access scheme for wireless sensor networks whereby multiple sensor nodes may transmit data simultaneously to a master node. Specifically, we propose exploiting the presence of multiple signal dimensions and using a clustering algorithm to estimate blindly the channel gains required for coherent multi-user detection. To demonstrate the feasibility of this concept, we simulate the bit error rates (BER) of 4FSK and 8FSK systems with three and four simultaneously transmitting sensor nodes, respectively. It was found that the BER of the proposed blind multi-user detector is very close to that achieved under perfect channel state information. This suggests that the proposed integrated modulation/randomaccess approach can significantly improve spectral efficiency and mitigate multi-user interference. Compared to no multi-user detection, less energy is wasted on the retranmissions caused by packet collisions and this helps to extend the lifetime of the sensor nodes.
We consider a type of covering problem in the e-commerce enterprise retail distribution network, the problem amounts to determining the location of the warehousing and distribution center. In order to adapt to the e-c...
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ISBN:
(纸本)9781510888050
We consider a type of covering problem in the e-commerce enterprise retail distribution network, the problem amounts to determining the location of the warehousing and distribution center. In order to adapt to the e-commerce distribution mode and ensure timely delivery, a demand point can be covered by multiple distribution centers, a set multi-coverage model with the shortest distribution distance and the minimum construction cost as the dual target is established to determine the location of the distribution center. Finally, the example is solved in IBM CPLEX, and the calculation results verify the effectiveness of the algorithm and model.
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