An Evidence Combination Method based on DBSCAN Clustering

Yang, Kehua; Tan, Tian; Zhang, Wei

doi:10.32604/cmc.2018.03696

Cited by 12 publications

(8 citation statements)

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“…The ratio of the access intensity ratio of Cluster5, Cluster6 and Cluster1 is 25:8:3, so the number of preambles allocated to the three clusters are 33, 11 and 4 respectively. It means the preambles allocated to the three clusters are P(1-33), P(34-44) and P (45)(46)(47)(48).…”

Section: Experimental Methodology and Numerical Resultsmentioning

confidence: 99%

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An Enhanced Random Access Algorithm Based on the Clustering-Reuse Preamble Allocation in NB-IoT System

Zhang

Fan

et al. 2019

IEEE Access

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As a new wireless access technology, Narrow Band IoT (NB-IoT) enables low-power widearea coverage services and can be applied to many domains. Emerging applications such as smart traffic, shared bicycles and shared cars have put forward more stringent requirements for connectivity. In order to get higher QoS, an enhancement access algorithm is proposed for the complex service scenario of NB-IoT, in which the network terminals are clustered based the distance from base station and terminal traffic intensity, and allocated reuse preamble code to improve network access capacity. The capacity is modeled and analyzed to evaluate the enhanced access algorithm based on clustering-reuse preamble allocation (ERA-CRPA). The experimental results show that the ERA-CRPA can effectively reduce the probability of random access preamble collision, further improve the access efficiency and increase the equivalent capacity of NB-IoT network.INDEX TERMS NB-IoT, media IoT, preamble reuse, random access, clustering.

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Section: Experimental Methodology and Numerical Resultsmentioning

confidence: 99%

“…References [41]- [43] introduced several kinds of partitioning relocation methods using different mixture models. References [44]- [46] proposed three major approaches for densitybased methods.…”

Section: Algorithm Descriptionmentioning

confidence: 99%

An Enhanced Random Access Algorithm Based on the Clustering-Reuse Preamble Allocation in NB-IoT System

Zhang

Fan

et al. 2019

IEEE Access

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“…In order to calculate the centre point of each data cluster in Figure 7, the clustering algorithm of Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is introduced, which is a clustering algorithm based on the density characteristics of data samples [22][23]. The DBSCAN clustering algorithm can divide the data with enough high density into a cluster, also can find data cluster with any shape in the data sample database with noise.…”

Section: The Ultrasonic Signal Dbscan Clustering Synthetic Peak Methodsmentioning

confidence: 99%

A new method for processing ultrasonic gas flowmeter signal in wet gas

Wang

Zheng

Mei

et al. 2020

IET Science Measure & Tech

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Gas velocity as an important characteristic parameter of wet gas has become a very active research issue in engineering field. Among many gas velocity measurement techniques, the ultrasonic flowmeter technique is more suitable for actual working conditions. However, the traditional signal processing methods of ultrasonic flowmeter are only proposed for single‐phase gas. In wet gas, the ultrasonic signals fluctuate greatly, are easily distorted and even lost, so the single‐phase ultrasonic signal processing methods are not applicable. Therefore, a new ultrasonic signal DBSCAN clustering synthetic peak method is proposed to solve the above problems. To verify the feasibility of this new proposed method, three real flow experiments are carried out on horizontal pipe at ambient temperature and pressure. Additionally, comparing the gas velocity results using ultrasonic signal double threshold method and ultrasonic empirical model method for single‐phase gas and the new proposed method for wet gas, it is shown that the measurement results using new proposed method accord with the theoretical law and can accurately measure the gas velocity. Furthermore, the three real flow experimental results show that the repeatability of gas velocity in wet gas by the new proposed method is mostly <0.5%.

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“…In order to avoid the negative transfer, we need to cluster the data that is unlabeled. Yang et al [Yang, Tan and Zhang (2018)] proposed a clustering method based on DBSCAN which is a density clustering algorithm. Different from the algorithm mentioned earlier, we propose a feature selection algorithm based on Kmeans, and apply it to sentiment analysis method.…”

Section: Feature Selection Algorithm Based On Kmeansmentioning

confidence: 99%

Sentiment Analysis Method based on Kmeans and Online Transfer Learning

Wu¹,

Liu²,

Wang³

et al. 2019

Computers, Materials &Amp; Continua

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Sentiment analysis is a research hot spot in the field of natural language processing and content security. Traditional methods are often difficult to handle the problems of large difference in sample distribution and the data in the target domain is transmitted in a streaming fashion. This paper proposes a sentiment analysis method based on Kmeans and online transfer learning in the view of fact that most existing sentiment analysis methods are based on transfer learning and offline transfer learning. We first use the Kmeans clustering algorithm to process data from one or multiple source domains and select the data similar to target domain data to establish the classifier, so that the processed data does not negatively transfer the data in the target domain. And then create a new classifier based on the new target domain. The source domain classifier and target domain classifier are combined with certain weights by using the homogeneous online transfer learning method to achieve sentiment analysis. The experimental results show that this method has achieved better performance in terms of error rate and classification accuracy.

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An Evidence Combination Method based on DBSCAN Clustering

Cited by 12 publications

References 0 publications

An Enhanced Random Access Algorithm Based on the Clustering-Reuse Preamble Allocation in NB-IoT System

An Enhanced Random Access Algorithm Based on the Clustering-Reuse Preamble Allocation in NB-IoT System

A new method for processing ultrasonic gas flowmeter signal in wet gas

Sentiment Analysis Method based on Kmeans and Online Transfer Learning

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