Data Stream Processing Study in a Multichannel Telemetry Data Registering System

pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)

فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...

Synchronizing data stream processing

Stream-Processing Point Data

With the fast increasing size of captured 3D models, i.e. from high-resolution laser range scanning devices, it has become more and more important to provide basic point processing methods for large raw point data sets. In this paper we present a novel stream-based point processing framework that orders unorganized raw points along a spatial dimension and processes them sequentially. The major ...

Linked Stream Data Processing

Linked Stream Data has emerged as an effort to represent dynamic, time-dependent data streams following the principles of Linked Data. Given the increasing number of available stream data sources like sensors and social network services, Linked Stream Data allows an easy and seamless integration, not only among heterogenous stream data, but also between streams and Linked Data collections, enab...

In-Stream Big Data Processing

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that realtime query processing and in-stream processing is the immediate need in many practical applications. In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, A...