دانلود و نمایش مقالات مرتبط با محاسبات جریان داده های بزرگ::صفحه 1
بلافاصله پس از پرداخت دانلود کنید

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). 

نتیجه جستجو - محاسبات جریان داده های بزرگ

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
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
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی
logo-samandehi
بازدید امروز: 5347 :::::::: بازدید دیروز: 0 :::::::: بازدید کل: 5347 :::::::: افراد آنلاین: 65