Monitoring behavior of poultry based on RFID radio frequency network
Z Feiyang, H Yueming, C Liancheng, G Lihong… - International Journal of …, 2016 - ijabe.org
Poultry behavior monitoring is an important basis for the poultry disease warning. Manual
monitoring is mostly used nowadays. In this work, the automatic monitoring system for …
monitoring is mostly used nowadays. In this work, the automatic monitoring system for …
LKM: A LDA-Based K-Means Clustering Algorithm for Data Analysis of Intrusion Detection in Mobile Sensor Networks
Mobile sensor networks (MSNs), consisting of mobile nodes, are sensitive to network
attacks. Intrusion detection system (IDS) is a kind of active network security technology to …
attacks. Intrusion detection system (IDS) is a kind of active network security technology to …
A cloud-based optimal fuzzy clustering of distributed data
R Souli-Jbali, MS Hidri - International Journal of Intelligent …, 2015 - inderscienceonline.com
Cloud computing is an infrastructure that allows the storage of large datasets. It provides a
great and parallel computing which permits a faster computation on distributed data. The …
great and parallel computing which permits a faster computation on distributed data. The …
Clustering data and vague concepts using prototype theory interpreted label semantics
Clustering analysis is well-used in data mining to group a set of observations into clusters
according to their similarity, thus, the (dis) similarity measure between observations …
according to their similarity, thus, the (dis) similarity measure between observations …
An improved k-means clustering algorithm over data accumulation in Delay Tolerant Mobile Sensor Network
Y Zhang, K Wang, H Lu, H Guo… - 2013 8th International …, 2013 - ieeexplore.ieee.org
Delay Tolerant Mobile Sensor Network (DT-MSN) possesses high delay tolerability. And the
real-time requirement of data is reduced, which results in data packet accumulation. The …
real-time requirement of data is reduced, which results in data packet accumulation. The …
[PDF][PDF] Real World Data Clustering using a Hybrid of Normalized Particle Swarm Optimization and Density-Sensitive Distance Measure
k-means is among the most widely used classical partitioned clustering algorithms mainly
because of its quick convergence rate, adaptability nature to sparse data and simplicity of …
because of its quick convergence rate, adaptability nature to sparse data and simplicity of …
Monitoring behavior of poultry based on RFID radio frequency network.
ZFY Zhang FeiYang, HYM Hu YueMing… - 2016 - cabidigitallibrary.org
Poultry behavior monitoring is an important basis for the poultry disease warning. Manual
monitoring is mostly used nowadays. In this work, the automatic monitoring system for …
monitoring is mostly used nowadays. In this work, the automatic monitoring system for …
[引用][C] Real-World Data Clustering Using a Hybrid of Normalized Particle Swarm Optimization and Density Sensitive K-means Algorithm
TM Fagbola, SC Thakur, OO Olugbara