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Chapter and Conference Paper
Embedded Network Equipment Fault Remote Monitoring System Based on Internet of Things
The embedded network equipment fault remote monitoring is an embedded system that uses the Internet to connect and communicate with other equipment. It can be used for industrial automation, medical treatment,...
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Chapter and Conference Paper
Vacuum Monitoring Method of Embedded Intelligent High Voltage Circuit Breaker Based on Internet of Things
The a method to monitor the voltage. This method can be applied to high-voltage circuit breakers, with intelligent control function, and can be connected to the Internet. In case of over-current or short circu...
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Article
IoT-based multi-channel information integration method for wireless sensor networks
The speedy progress of the Internet of Things has connected a huge network of smart devices in series and also intensified the pressure of multi-channel information transmission in wireless sensor networks. To...
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Article
Assessment of the Antidiarrheal Activity and Chemical Composition of Dichloromethane Extract from Macleaya Cordata
Macleaya cordata (Willd.) R.Br., Papaveraceae, is a traditional Chinese herb, and it has been proven to have good antimicrobial, anti-inflammatory, and antidiarrheal properties. However, its antidiarrheal constit...
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Article
Modeling and simulation of the flow drill screw process of a DP590/Al6061-T6 multi-material joint used for vehicle body
Although the flow drill screw (FDS) joining technique has been successfully used for connecting dissimilar materials in lightweight structures design, forming simulation of the FDS joining process is still cha...
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Article
Density Based Cluster Growing via Dominant Sets
Although there are a lot of clustering algorithms available in the literature, existing algorithms are usually afflicted by practical problems of one form or another, including parameter dependence and the ina...
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Chapter and Conference Paper
Clustering Based on Dominant Set and Cluster Expansion
While numerous clustering algorithms can be found in the literature, existing algorithms are usually afflicted by two major problems. First, the majority of clustering algorithms requires user-specified parame...
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Chapter and Conference Paper
Density Based Clustering via Dominant Sets
While density based clustering algorithms are able to detect clusters of arbitrary shapes, their clustering results usually rely heavily on some user-specified parameters. In order to solve this problem, in th...