An incentive mechanism model based on the correlation between neighbor behavior and distance

In this study, the incentive is defined based on feedback mechanism promoting propagation, and a novel model of behavior propagation is proposed based on feedback mechanism to investigate behavior propagation. In this model, the incentive includes the distance among individuals and the set of state and the influence of node is decided by the incentive and node degree, which explore the propagation effect under different network. The experimental results show the incentive and the propagation have positive correlation, and the propagating effect is determined by the network attribute. At the same time, the greater the degree of the node, the more obvious the incentive effect. Incentive results of nodes will continuously decline until they suffer second incentive.

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A Novel Model-Based Approach in Classification Using Extension Distance

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.644-650.2009 ◽

2014 ◽

Vol 644-650 ◽

pp. 2009-2012 ◽

Cited By ~ 1

Author(s):

Hai Tao Zhang ◽

Bin Jun Wang

Keyword(s):

Experimental Results ◽

Training Data ◽

Data Sets ◽

Benchmark Data ◽

Model Based ◽

Original Dataset ◽

Testing Data ◽

Data Points ◽

Low Efficiency ◽

Novel Model

In order to solve the low efficiency problem of KNN or K-Means like algorithms in classification, a novel extension distance of interval is proposed to measure the similarity between testing data and the class domain. The method constructs representatives for data points in shorter time than traditional methods which replace original dataset to serve as the basis of classification. Virtually, the construction of the model containing representatives makes classification faster. Experimental results from two benchmark data sets, verify the effectiveness and applicability of the proposed work. The model based method using extension distance can effectively build data models to represent whole training data, and thus a high cost of classifying new instances problem is solved.

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Generalized analytical model based on harmonic coupling for hybrid plasmonic modes: comparison with numerical and experimental results

Optics Express ◽

10.1364/oe.23.027376 ◽

2015 ◽

Vol 23 (21) ◽

pp. 27376 ◽

Cited By ~ 8

Author(s):

Mitradeep Sarkar ◽

Jean-François Bryche ◽

Julien Moreau ◽

Mondher Besbes ◽

Grégory Barbillon ◽

...

Keyword(s):

Analytical Model ◽

Experimental Results ◽

Model Based

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Research of Personalized Recommendation Technology Based on Knowledge Graphs

Applied Sciences ◽

10.3390/app11157104 ◽

2021 ◽

Vol 11 (15) ◽

pp. 7104

Author(s):

Xu Yang ◽

Ziyi Huan ◽

Yisong Zhai ◽

Ting Lin

Keyword(s):

Neural Network ◽

Hot Spot ◽

Experimental Results ◽

Graph Representation ◽

Personalized Recommendation ◽

Knowledge Graph ◽

Learning Technology ◽

Data Set ◽

Model Based ◽

Knowledge Graphs

Nowadays, personalized recommendation based on knowledge graphs has become a hot spot for researchers due to its good recommendation effect. In this paper, we researched personalized recommendation based on knowledge graphs. First of all, we study the knowledge graphs’ construction method and complete the construction of the movie knowledge graphs. Furthermore, we use Neo4j graph database to store the movie data and vividly display it. Then, the classical translation model TransE algorithm in knowledge graph representation learning technology is studied in this paper, and we improved the algorithm through a cross-training method by using the information of the neighboring feature structures of the entities in the knowledge graph. Furthermore, the negative sampling process of TransE algorithm is improved. The experimental results show that the improved TransE model can more accurately vectorize entities and relations. Finally, this paper constructs a recommendation model by combining knowledge graphs with ranking learning and neural network. We propose the Bayesian personalized recommendation model based on knowledge graphs (KG-BPR) and the neural network recommendation model based on knowledge graphs(KG-NN). The semantic information of entities and relations in knowledge graphs is embedded into vector space by using improved TransE method, and we compare the results. The item entity vectors containing external knowledge information are integrated into the BPR model and neural network, respectively, which make up for the lack of knowledge information of the item itself. Finally, the experimental analysis is carried out on MovieLens-1M data set. The experimental results show that the two recommendation models proposed in this paper can effectively improve the accuracy, recall, F1 value and MAP value of recommendation.

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A Novel Model-Based Security Scheme for LoRa Key Generation

Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021) ◽

10.1145/3412382.3458256 ◽

2021 ◽

Author(s):

Jiayao Gao ◽

Weitao Xu ◽

Salil Kanhere ◽

Sanjay Jha ◽

Jun Young Kim ◽

...

Keyword(s):

Key Generation ◽

Security Scheme ◽

Model Based ◽

Novel Model

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Novel model based path planning for multi-axle steered heavy load vehicles

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) ◽

10.1109/itsc.2013.6728268 ◽

2013 ◽

Cited By ~ 10

Author(s):

Susann Beyersdorfer ◽

Sebastian Wagner

Keyword(s):

Path Planning ◽

Heavy Load ◽

Model Based ◽

Novel Model

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An Analysis of Conventional and Self-Aligned four Terminal Resistor Structures for The Determination of The Contact Resistivity from End Resistance Measurements

MRS Proceedings ◽

10.1557/proc-71-363 ◽

1986 ◽

Vol 71 ◽

Cited By ~ 1

Author(s):

I. Suni ◽

M. Finetti ◽

K. Grahn

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Computer Model ◽

Contact Resistivity ◽

Experimental Results ◽

The Finite Element Method ◽

Model Based ◽

A Value ◽

And Diffusion

AbstractA computer model based on the finite element method has been applied to evaluate the effect of the parasitic area between contact and diffusion edges on end resistance measurements in four terminal Kelvin resistor structures. The model is then applied to Al/Ti/n+ Si contacts and a value of contact resistivity of Qc = 1.8×10−7.Ωcm2 is derived. For comparison, the use of a self-aligned structure to avoid parasitic effects is presented and the first experimental results obtained on Al/Ti/n+Si and Al/CoSi2/n+Si contacts are shown and discussed.

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