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In this paper, we present GDA, a generalized decision aggregation framework that integrates information from distributed sensor nodes for decision making in a resource efficient manner. Different from traditional approaches, our proposed GDA framework is able to not only estimate the reliability of each sensor, but also take advantage of its confidence information, and thus achieves higher decision...
Thermal strain imaging (TSI) is promising for lesion targeting and dose control in thermal-based treatment. We previously developed HIFU and temperature sensitive cerasomes (HTSCs) for local chemotherapy of cancer (Liang et al, Acs Nano 2015). However, the temperature within tissues cannot be noninvasively measured in vivo. The aim of this study was to investigate the feasibility of TSI in noninvasive...
There are many problems in the process of agricultural production, such as high labor costs, lack of processional management, delayed disaster warning, waste of agricultural information. In order to solve these problems, we developed the Argo-meteorological system. On the base of achieving real-time monitoring of farmland and disaster warning, it focused on the implementation of the comprehensive...
The massive sensor data streams analysis in the monitoring application of internet of things is very important, especially in the environments where supporting such kind of real time streaming data storage and management. In order to support the classification of the massive sensor data streams, in this paper, a massive sensor data streams analysis strategy is proposed based on Hoeffding tree with...
In recent years Wireless Sensor Networks have provided a effective solution for sensing and gathering spatial data by ZigBee protocol or other wireless network protocols. So the massive sensor data streams processing has reached many areas of monitoring application in internet of things. The sensor data streams constantly flow in and flow out of the monitoring system, cloud computing can provide a...
A large number of sensor data has been generated in the emerging Internet of Things, which is massive, real-time, continuous, high concurrent and space-time correlated as its characteristics. Massive heterogeneous traffic data stream on Intelligent Transportation is typical sensor data. Because of the difficulty to access data stream timely and reliably, traffic business computation and application...
Data Quality (DQ) issues play a vital role in the process of Accounting Information Systems (AIS) adoption. DQ is emerging as a well-known business problem in modern organisations. Specifically, the level of data quality is critical for all accounting processes, and has a significant impact on business decision-making. It must be noted that modern organisations rely heavily on the use of accounting...
With the growing complexity in computer systems, it has been a real challenge to detect and diagnose problems in today's large-scale distributed systems. Usually, the correlations between measurements collected across the distributed system contain rich information about the system behaviors, and thus a reasonable model to describe such correlations is crucially important in detecting and locating...
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