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Stream Aggregation Through Order Sampling
[article]
2017
arXiv
pre-print
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While order sampling is a powerful and e cient method for weighted sampling from a stream of uniquely keyed items, there is no current algorithm that realizes the benefits of order sampling in the context ...
This is paper introduces a new single-pass reservoir weighted-sampling stream aggregation algorithm, Priority-Based Aggregation (PBA). ...
Stream order sampling can be implemented as a priority queue in increasing order [17] . ...
arXiv:1703.02693v2
fatcat:hnwsmkb6nzdtvnjieztz46fp2q
TinyStream Sensors
[chapter]
2012
Lecture Notes in Computer Science
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Stream processing engines have been proposed in the past for handling streaming data coming from data sources. ...
The stream processing abstraction and interface allows small motes to store and process the data locally and to route processed data to consumer streams on-demand. ...
If the stream is a sensor stream, with sampling rate, then a sensor acquisition-related timer is created and armed for periodically waking up and acquiring the signal through the sensor ADC; • Stream window ...
doi:10.1007/978-3-642-32498-7_17
fatcat:u7uc26saffeozanxejigklvyzm
Action Recognition with Deep Multiple Aggregation Networks
[article]
2020
arXiv
pre-print
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Nevertheless, while these streams are highly effective their combination with our hierarchical aggregation, through a late fusion 7 , brings a noticeable gain in performances. ...
Nonetheless, all the frames contribute evenly through all the nodes and hence in gradient estimate, without any sampling. ...
arXiv:2006.04489v1
fatcat:ybavmgy33ffflnefb4sc6z4cpu
Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube
[chapter]
2003
Lecture Notes in Computer Science
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In addition, inspired by previous work, we integrated SR into cube environment through similar compression technique to perform online analytical processing and mining over data stream. ...
Traditionally, curve fitting through Multiple Linear Regression (MLR) is a powerful and efficient modeling tool. ...
Example 2: Without loss of generality, we here model n sample points through k-1 order polynomial regression. ...
doi:10.1007/3-540-36175-8_44
fatcat:gtsbuhabnjegrobc3gcc34bx6e
An Investigation on Platelet Transport during Thrombus Formation at Micro-Scale Stenosis
2013
PLoS ONE
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Using a microfluidic flow focusing platform we investigate the blood flow streams that principally contribute to platelet aggregation under shear micro-gradient conditions. ...
We demonstrate that relatively thin surface streams located at the channel wall are the primary contributor of platelets to the developing aggregate under shear gradient conditions. ...
Acknowledgments Thrombosis Research Unit-ACBD staff for the assistance in the preparation of blood samples and RMIT Staff for clean-room assistance: Paul Jones, Yuxen Cao.
Author Contributions ...
doi:10.1371/journal.pone.0074123
pmid:24194822
pmcid:PMC3806794
fatcat:5xi545mhyjb2xh4qbvtnbhbgue
Sketching asynchronous streams over a sliding window
2006
Proceedings of the twenty-fifth annual ACM symposium on Principles of distributed computing - PODC '06
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Previous works on sketching recent elements of a data stream have all considered the more restrictive scenario of synchronous streams, where the observed order of data is the same as the time order in ...
Motivated by applications involving network data, we consider streams that are asynchronous, in which the observed order of data is not the same as the time order in which the data was generated. ...
The high level idea is that in order to estimate the sum of integers within the sliding window, the stream elements are randomly chosen into a sample as they are observed by the aggregator. ...
doi:10.1145/1146381.1146397
dblp:conf/podc/TirthapuraXB06
fatcat:cj43qtlitzbtlf2m63csa2f5ae
A data stream language and system designed for power and extensibility
2006
Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06
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This is demonstrated by the Stream Mill system that, through is Expressive Stream Language (ESL), efficiently supports a wide range of applications-including very advanced ones such as data stream mining ...
Stream Mill has solved this difficult problem by building on (i) window constructs, and (ii) user-defined aggregates (UDAs). ...
To ensure tuple timstamp order in external streams, these out-of-order tuples are put in a separate stream. ...
doi:10.1145/1183614.1183664
dblp:conf/cikm/BaiTWLZ06
fatcat:3xomf2j36fg7zbx53rj336gplm
Iron isotope pathways in the boreal landscape: Role of the riparian zone
2018
Geochimica et Cosmochimica Acta
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Stable Fe isotope compositions have been measured in water samples of the subarctic Kalix River, a first-order stream, and soil water samples from a riparian soil profile adjacent to the first-order stream ...
This study suggests that stable Fe isotopes can be used as a tool to track and characterize suspended Fe-organic carbon aggregates during transport from the soil, via first-order streams and rivers, to ...
We also want to thank Hjalmar Laudon for his help during sampling in Krycklan catchment. ...
doi:10.1016/j.gca.2018.07.030
fatcat:g6ibrvpmnjhotjhipnt6hoe3bq
Aggregator-Centric QoS for Body Sensor Networks
2007
2007 6th International Symposium on Information Processing in Sensor Networks
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Sensor nodes sample patients' physiological conditions and report the sampled readings to doctors through the aggregator. ...
As shown in Figure 2 , one Micaz reports EKG data (QoS stream) to the aggregator, and another Micaz reports sweat data (best effort stream). ...
doi:10.1109/ipsn.2007.4379714
fatcat:lguuh4f5tbh2bl7d6j3qqrz5qm
Aggregator-centric QoS for body sensor networks
2007
Proceedings of the 6th international conference on Information processing in sensor networks - IPSN '07
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Sensor nodes sample patients' physiological conditions and report the sampled readings to doctors through the aggregator. ...
As shown in Figure 2 , one Micaz reports EKG data (QoS stream) to the aggregator, and another Micaz reports sweat data (best effort stream). ...
doi:10.1145/1236360.1236429
dblp:conf/ipsn/ZhouWYS07
fatcat:2svuuusl5bgyngazbiand5d4ki
Single Shot Video Object Detector
[article]
2020
arXiv
pre-print
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In this paper, we propose to address the problem by enhancing per-frame features through aggregation of neighboring frames. ...
Unlike the existing feature aggregation methods, SSVD, on one hand, estimates the motion and aggregates the nearby features along the motion path, and on the other, hallucinates features by directly sampling ...
stream we utilize feature aggregation (FA) with self-guided sampling to directly hallucinate the feature map of reference frame through spatio-temporal sampling features from support frames. ...
arXiv:2007.03560v1
fatcat:xnyo6fmp3jd4pcuelttjgoi6ly
Habitat heterogeneity and activity of an omnivorous ecosystem engineer control stream community dynamics
2010
Ecology
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a South Carolina (USA) stream macroinvertebrate community. ...
abundances of species) by monitoring community composition through a 10-week experiment. ...
of variation (CV) of the aggregate through time (Cottingham et al. 2001 tions are also aggregate measures (e.g., productivity, community metabolism). ...
doi:10.1890/09-0350.1
pmid:20583720
fatcat:r6sgtmu4lrhl7jrsk6d7o7cgza
Load Shedding using Window Aggregation Queries on Data Streams
2012
International Journal of Computer Applications
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To overcome this problem of handling voluminous data we exposed a novel load shedding system using window based aggregate function of the data stream in which we accept those tuples in the stream that ...
The best window aggregate function used for dropping tuples is identified with the three prediction models used in data mining they are Decision Tree, Naïve Bayes and Logistic Regression. ...
Samples from a distribution, and sampling without replacement which is used by online aggregation engines [4] . ...
doi:10.5120/8598-2362
fatcat:ivcneqj7ezbbpkhe6gh7vdhhyi
Sketching asynchronous data streams over sliding windows
2007
Distributed computing
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The file type is application/pdf.
Previous works on sketching recent elements of a data stream have all considered the more restrictive scenario of synchronous streams, where the observed order of data is the same as the time order in ...
Motivated by applications involving network data, we consider streams that are asynchronous, in which the observed order of data is not the same as the time order in which the data was generated. ...
In order to estimate the sum of integers within the sliding window, the stream elements are randomly chosen into a sample as they are observed by the aggregator. ...
doi:10.1007/s00446-007-0048-7
fatcat:s6u44xgppfag7jxhlnoxlmgvri
Sampling algorithms in a stream operator
2005
Proceedings of the 2005 ACM SIGMOD international conference on Management of data - SIGMOD '05
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We show how it can be used to implement a wide variety of algorithms that perform sampling and samplingbased aggregations. ...
In this paper, we abstract the stream sampling process and design a new stream sample operator. ...
In [2] the subset-sum sampling method is implemented at IP flow speeds and not at packet speeds; flows are several orders of magnitude aggregated from packet streams. ...
doi:10.1145/1066157.1066159
dblp:conf/sigmod/JohnsonMR05
fatcat:h4pnfxyvybea3dhsybyuo3727u
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