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Dataset and the Real-Time Dataflow

Unidirectional circular dataflow architecture for real-time updates

Unidirectional circular dataflow architecture for real-time updates

... When considering web applications at this stage, there was no method that servers could trigger to inform clients that new data was available to be downloaded, and so live updates could not yet be pushed to clients. ...

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Monetary Policy Analysis in Real-Time. Vintage Combination from a Real-Time Dataset.

Monetary Policy Analysis in Real-Time. Vintage Combination from a Real-Time Dataset.

... Finally, our results indicate that from a policy perspective it is always recommendable to use a combination approach in periods of high macroeconomic volatility. During such periods, it is likely that data revisions ...

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Monetary Policy Analysis in Real-Time. Vintage combination from a real-time dataset

Monetary Policy Analysis in Real-Time. Vintage combination from a real-time dataset

... Finally, our results indicate that from a policy perspective it is always recom- mendable to use a combination approach in periods of high macroeconomic volatility. During such periods, it is likely that data revisions ...

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A scalable dataflow accelerator for real time onboard hyperspectral image classification

A scalable dataflow accelerator for real time onboard hyperspectral image classification

... from BAE systems, is just about 400DMIPS@200MHz. Other processors, such as ARM and DSP are also used in some low cost space missions, especially in some experimental micro satellites. In this context, we compare the run ...

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SURVEILLANCE OF CATTLE HEALTH MONITORING USING IOT WITH REAL TIME DATASET

SURVEILLANCE OF CATTLE HEALTH MONITORING USING IOT WITH REAL TIME DATASET

... For earlier year, dairy farm and farmers used the special technique for detection of animal health related diseases and it require the continuous or daily to daily base observation which again require the excessive ...

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Presenting a Labelled Dataset for Real-Time Detection of Abusive User Posts

Presenting a Labelled Dataset for Real-Time Detection of Abusive User Posts

... WI ’17, Leipzig, Germany © 2017 ACM. 978-1-4503-4951-2/17/08. . . $15.00 DOI: 10.1145/3106426.3106456 to moderate inappropriate content. This content includes insulting or hurtful language that is offensive to either an ...

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On hard real-time scheduling of cyclo-static dataflow and its application in system-level design

On hard real-time scheduling of cyclo-static dataflow and its application in system-level design

... or Time Division Multiplexing (TDM) ...hard real-time multiprocessor scheduling theory [DB11] can perform fast admission and scheduling decisions for incoming programs while providing hard ...

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Argo Dataset production: Real‐time data‐management and delayed‐mode qualified dataset for O2, Chlorophyll‐a, backscattering and NO3

Argo Dataset production: Real‐time data‐management and delayed‐mode qualified dataset for O2, Chlorophyll‐a, backscattering and NO3

... After cycle 59, all active floats are working properly without any realtime anomalies detected. 4.2 BGC parameters The RT processing of the BGC parameters was a challenging topic at the start of the ...

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Green computing: power optimisation of VFI-based real-time multiprocessor dataflow applications (extended version)

Green computing: power optimisation of VFI-based real-time multiprocessor dataflow applications (extended version)

... This paper presents a novel approach to compute a power manage- ment strategy combining DPM and DVFS. In our approach, applications (modelled in full synchronous dataflow, SDF) are mapped on heteroge- neous ...

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Adaptive SLAM with synthetic stereo dataset generation for real-time dense 3D reconstruction

Adaptive SLAM with synthetic stereo dataset generation for real-time dense 3D reconstruction

... a real-world dataset with a high precision level can be an extremely time-consuming task and requires complex equipment and consequently expen- sive human ...a real issue because of the ...

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A Real-time Risk Assessment for Information System with CICIDS2017 Dataset Using Machine Learning

A Real-time Risk Assessment for Information System with CICIDS2017 Dataset Using Machine Learning

... CICIDS2017 dataset to suitable features before establishing classification predictive ...inconsistent dataset resolving, replacing missing values, removing duplicates and feature selection response to ...

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DEVELOPING REAL-TIME STREAMING TRANSFORMER TRANSDUCER FOR SPEECH RECOGNITION ON LARGE-SCALE DATASET

DEVELOPING REAL-TIME STREAMING TRANSFORMER TRANSDUCER FOR SPEECH RECOGNITION ON LARGE-SCALE DATASET

... If the transformer has 18 layers and the future context is 5 frames per layer, a latency of 90 frames will be introduced as a result. 3.2. Attention Mask Design for Training Streaming Models We design a simple but ...

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Real Time Projects, REAL TIME PROJECTS, Real Time Projects

Real Time Projects, REAL TIME PROJECTS, Real Time Projects

... In terms of website performance, which refers to how fast a page can be displayed to a user, .Net has proven to be far superior to Cold Fusion MX, PHP and Java in real-world applications and in tests conducted by ...

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DVS-OUTLAB: A Neuromorphic Event-Based Long Time Monitoring Dataset for Real-World Outdoor Scenarios

DVS-OUTLAB: A Neuromorphic Event-Based Long Time Monitoring Dataset for Real-World Outdoor Scenarios

... Figure 6 summarizes the distribution of per time window calculated PRE filter results considering all selected and la- beled parts of this dataset. It can be noted that by means of these spatio-temporal ...

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Beyond Dataflow

Beyond Dataflow

... of dataflow and the code sequence in an instruction window of a superscalar micro- processor is branch prediction and speculative ...the dataflow environment, however, the idea of branch prediction and ...

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Task and Dataflow

Task and Dataflow

... Task Scheduling for Streaming Jobs ● In general, the big data platform receives a large amount of streaming data from input data streams such as data sensors, social networking, IoT devices and others. ● The task ...

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Hortonworks DataFlow

Hortonworks DataFlow

... The slider in the bottom-left corner allows us to see the time at which these events occurred. By sliding it left and right, we can see which events introduced latency into the system so that we have a very good ...

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Evaluating real-time forecasts in real-time

Evaluating real-time forecasts in real-time

... often change the entire history of GDP data and thereby further complicate the task of forecast evaluation for two reasons. First, the forecaster cannot reasonably be expected to predict the substantial changes in a ...

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Real-time payments for real-time banking

Real-time payments for real-time banking

... The move to 24x7 operation also means that currently common end-of-day processing must be redesigned. For banks operating in multiple domestic markets, the complexity is increased by the need to support multiple ...

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real time

real time

... Empirically, the risk of steady-state instability is associated with low real/reactive power reserves, low voltage levels, and large bus voltage variations for small load or generated power changes. Recurring ...

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