با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
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1 |
Real-Time Big Data Computing for Internet of Things and Cyber Physical System Aided Medical Devices for Better Healthcare
محاسبات داده های بزرگ در زمان واقعی برای اینترنت اشیا و سیستم های فیزیکی سایبر از طریق دستگاه های پزشکی برای سلامت بهتر-2018 The new generation of systems are may using integration
called cyber-physical system (CPS). It includes computational,
control and communication capabilities. How humans are
interconnected to the each other, CPS also interact physical objects
as well. Currently, the study of CPS is still in its initial stages and
there exist many research issues. The CPS integrating with medical
devices is easy but handling their quires very quickly it is very
difficult. In This paper proposed Real-Time big data computing for
CPS enabled medical device association. It includes the many cyber
physical enhanced secured Internet of things (IoT) integrated Big
data steam computing platforms, and their architecture and its
application to the Medical device monitoring and decision support
systems is specified. Finally, a medical device associated with big
data stream computing platforms. Produce high performance in
overall medical device computing, communication, control, resource
management and scheduling cores.
Index Terms : Big Data Stream Computing, Cyber Physical System, Medical Devices, Internet of Things |
مقاله انگلیسی |
2 |
Improving Data Fusion in Big Data Stream Computing for Automotive Applications
بهبود داده های تلفیقی در محاسبات جریان داده های بزرگ برای کاربردهای خودرو-2016 Connected vehicles are capable of generating huge
amounts of data at a very high frequencies. This big data has a
great value for a large broad of services ranging from road safety
services to aftermarket services (e.g., predictive and preventive
maintenance). Nevertheless, they raised new challenges in terms
of big data real-time or near-real time processing, storing, etc.
Within this paper, we address the issue of online data fusion of
automotive data. More precisely, we focus on the performance
of the big data infrastructure to process collected data from
several millions of connected vehicles. To this end, we propose
novel approaches, based on spatial indexation, to speed-up our
automotive application. To validate the effectiveness of our
proposal, we have implemented and conducted real experiments
on PSA-Group big data platform. The experimental results have
demonstrated the efficiency of our spatial indexing and querying
techniques
Keywords: Connected Vehicles | Big Data | Stream Computing | Point Location Problem. |
مقاله انگلیسی |