| 1. |
- Du, Xiaofeng, et al.
(author)
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Quality improvement framework for business oriented geo-spatial data
- 2015
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In: Web Information Systems Engineering - WISE 2014 workshops. - Berlin : Springer Berlin/Heidelberg. - 9783319203706 - 9783319203690 ; , s. 239-249
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Conference paper (peer-reviewed)abstract
- In the past few years, Geo-spatial data quality has received increasing attention and concerns. As more and more business decisions are made based on data analytic result from geo-spatial related data, low quality data means wrong or inappropriate decisions, which could have substantial effects on a business's future. In this paper, we propose a framework that can systematically ensure and improve geo-spatial data quality throughout the whole life cycle of data.
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| 2. |
- Zhang, Sheng, et al.
(author)
-
Multilayer and multi-agent data fusion in WSN
- 2015
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In: Web Information Systems Engineering – WISE 2014 Workshops. - Cham : Springer International Publishing. - 9783319203706 - 9783319203690 ; , s. 211-225
-
Conference paper (peer-reviewed)abstract
- In the wireless sensor networks, the hardware limitations of sensor nodes cause high transmission failure rate. We usually increase the density of nodes to improve the quality of information transmission. However, it is difficult for the limited energy supply, storage, and communication bandwidth to transfer large amount of redundant sensory data. So we use data fusion technology to remove the redundant data as much as possible before the data transmission. Data fusion becomes a research hotspot in recent years. In this paper we propose a multilayer and multi-agent data fusion mode, and analyze the proposed mode performance in three aspects: hops, energy consumption and network delay. The simulation experiments show that, if reasonably suitable parameters, such as the network scale, the number and size of agents, the data processing cost, are selected, the mobile agent mode is much better than the client/server mode.
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