Yuanzhe Yao

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Wireless technologies and vehicle-mounted or wearable medical sensors are pervasive to support ubiquitous healthcare applications. However, a critical issue of using wireless communications under a healthcare scenario rests at the electromagnetic interference (EMI) caused by radio frequency transmission. A high level of EMI may lead to a critical(More)
Corresponding to the storing and fast searching needs of an extra-large scale of energy monitoring and statistics data, we propose a multi-level-indexed distributed hash table (mDHT) algorithm and complete a MapReduce implementation of the algorithm on the open-standard HDFS/Hbase platform. Such an approach uses a columnar storage structure for energy(More)
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