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Big Data analysis has become a key factor of being innovative and competitive. Along with population growth worldwide and the trend aging of population in developed countries, the rate of the national medical care usage has been increasing. Due to the fact that individual medical data are usually scattered in different institutions and their data formats are varied, to integrate those data that continue...
In order to store and analyze the increasing data in recent years, big data techniques are applied to many fields such as healthcare, manufacturing, telecommunications, retail, energy, transportation, automotive, security, environment, etc. This work implements a city traffic state assessment system in cloud using a novel big data architecture. The proposed system provides the real-time busses location...
In this work, the proposed Intelligent Indoor Environment Monitoring System in Cloud (iDEMS) combines environmental sensors with ZigBee wireless sensor network technology to store and process environmental data in HBase. The environmental data collected by sensors will be stored and processed in the cloud using HBase, which supports storing large amounts of data, free to easily increase storage space...
With the development of science and technology and lifestyle changes, people's idea focuses on improving the health environment by using Information Technology to provide warning and prediction. To achieve this goal, the proposed Intelligent Indoor Environment Monitoring System in Cloud (iDEMS) combined environmental sensors with ZigBee wireless sensor network technology to store and process environmental...
Recently, big data are widely applied to different field. This work presents a cloud city traffic state assessment system using a novel architecture of big data. The proposed system provides the real-time bus location and real-time traffic situation, especially the real-time traffic situation nearby, through open data, GPS, GPRS and cloud technologies. With the high-scalability cloud technologies,...
Currently, most health care systems used among divisions in medical centers still adopt the Excel file format for a variety of scales statistics, such as the clinical self-care ability scale for Functional Independence Measure. Although people can further analyze Excel files using other statistical analysis software, such as SAS, SPSS, and STATA, they cannot effectively share the archived data in...
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