Sensing as a Service and Big Data

Perspectives of Big Data Quality in Smart Service Ecosystems (Quality of Design and Quality of Conformance)

Despite the increasing importance of data and information quality, current research related to Big Data quality is still limited. It is particularly unknown how to apply previous data quality models to Big Data. In this paper we review Big Data quality research from several perspectives and apply a known quality model with its elements of conformance to specification and design in the context o...

The determinations of remote sensing satellite data delivery service quality: A positivistic case study in Chinese context

With the development of remote sensing technology, remote-sensing satellite has been widely used in many aspects of national construction. Big data with different standards and massive users with different needs, make the satellite data delivery service to be a complex giant system. How to deliver remote-sensing satellite data efficiently and effectively is a big challenge. Based on customer se...

Big Data: A Revolution of the Location based Service and Wireless Sensing

Ocean Big Data Acquiring and Integration Technologies

Digital Earth is an integrated approach building scientific infrastructure. The ocean data is a typical big data, which can be seen from the data volume, velocity, variety, and value perspectives. The Digital Earth systems provide a threedimensional visualization and integration platform for ocean big data, which include ocean management data, in situ observation data, remote sensing observatio...

Behavior-Based Online Anomaly Detection for a Nationwide Short Message Service

As fraudsters understand the time window and act fast, real-time fraud management systems becomes necessary in Telecommunication Industry. In this work, by analyzing traces collected from a nationwide cellular network over a period of a month, an online behavior-based anomaly detection system is provided. Over time, users' interactions with the network provides a vast amount of usage data. Thes...

Web Services for Big Earth Observation data

The aim of geospatial web services is to enable users to share and process geospatial data on the Web, no matter what platform or protocol is used. In this paper, we investigate what are the design decisions needed to implement web services for big Earth observation (EO) data. The focus of the work is discussing what is unique about big EO data and why current standards are unsuitable for big E...