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Enhancing the HL-SOT Approach to Sentiment Analysis via a Localized Feature Selection Framework

Wei Wei, Jon Atle Gulla
2011 International Joint Conference on Natural Language Processing  
Within the proposed LFS framework, each node classifier of the HL-SOT approach is able to perform classification on target texts in a locally customized index term space.  ...  Among the five studied algorithms, the T-S algorithm is best to be employed by the proposed LFS framework.  ...  Acknowledgments The authors would like to thank the anonymous reviewers for the helpful comments on the manuscript.  ... 
dblp:conf/ijcnlp/WeiG11 fatcat:kxdjirjdhnhs5bhva3cisdbana

Comparative Analysis of Spark and Ignite for Big Spatial Data Processing

Samah Abuayeid, Louai Alarabi
2021 International Journal of Advanced Computer Science and Applications  
Apache Spark, Apache Ignite, and Hadoop are the most widely known frameworks for large data processing.  ...  On the other hand, several researchers started to discover and compared spatial frameworks to understand the requirements for spatial database processing, manipulating, and analysis systems.  ...  best framework for Big data processing.  ... 
doi:10.14569/ijacsa.2021.0120980 fatcat:kvuybb2kafb6tcl7sla4tmbtdu

ImageFARMER: Introducing a Data Mining Framework for the Creation of Large-scale Content-based Image Retrieval Systems

Juan M.Banda, Rafal A. Angryk, Petrus C. Martens
2013 International Journal of Computer Applications  
methods for storage and processing optimization, and indexing algorithms for fast and efficient querying.  ...  The unique capabilities of this framework have not been available together as an open-source software package designed for research, while offering enhanced knowledge discovery and validation of all steps  ...  Experimental results -singledimensional indexing for multi-dimensional data In this paper we do no present results for the multidimensional indexing algorithms since they are not designed to handle the  ... 
doi:10.5120/13799-1777 fatcat:4u7xfmi6kfbmtdj2awmqvj6ida

GeoSpark SQL: An Effective Framework Enabling Spatial Queries on Spark

Zhou Huang, Yiran Chen, Lin Wan, Xia Peng
2017 ISPRS International Journal of Geo-Information  
Spark is an emerging outstanding distributed computing framework in the Hadoop ecosystem.  ...  This paper aims to address the increasingly large-scale spatial query-processing requirement in the era of big data, and proposes an effective framework GeoSpark SQL, which enables spatial queries on Spark  ...  spatial query system, ESRI Spatial Framework for Hadoop, as the experimental benchmark.  ... 
doi:10.3390/ijgi6090285 fatcat:ixe7urqadzb5zcbtyxbc4zheva

A Cloud Computing-Enabled Spatio-Temporal Cyber-Physical Information Infrastructure for Efficient Soil Moisture Monitoring

Lianjie Zhou, Nengcheng Chen, Zeqiang Chen
2016 ISPRS International Journal of Geo-Information  
The Baoxie scientific experimental field in Wuhan City is selected as the in situ sensor study area.  ...  solution for soil moisture monitoring in precision agriculture.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi5060081 fatcat:przqro7r65hgdk3b3k6culhmsq

On the analysis of big data indexing execution strategies

Aisha Siddiqa, Ahmad Karim, Tanzila Saba, Victor Chang, K.K. Mishra
2017 Journal of Intelligent & Fuzzy Systems  
This paper investigates the performance of state-of-the-art clustered indexing approaches over Hadoop framework which is de facto standard for big data processing.  ...  There is an urge to assess the feasibility and impact of indexing towards query execution performance.  ...  Clustered in-dexing approaches are developed over Hadoop which is a de facto framework for big data processing.  ... 
doi:10.3233/jifs-169269 fatcat:xnercmawzbhvfejs7aeo6bos3e

An experimental frame for the simulation of forest fire spread

Bahaa Nader, Jean Baptiste Filippi, Paul Antoine Bisgambiglia
2011 Proceedings of the 2011 Winter Simulation Conference (WSC)  
This API has also been used to reformat a database of more than 600 fires, enabling a potential large scale simulation reanalysis for any simulation code that can be adapted to the proposed experimental  ...  An important aspect of any simulation model is to define a way to store, compare and exchange observation and model results.  ...  EXPERIMENTAL FRAME FOR THE PROPOSED FRAMEWORK An Experimental Frame (EF) is a specification of the conditions under which a system is observed or experimented; it is also the operational formulation of  ... 
doi:10.1109/wsc.2011.6147825 dblp:conf/wsc/NaderFB11 fatcat:hutnhsmisba7rcu7bnnnkcbqwa

A neural network based human identification framework using ear images

M Alaraj, Jingyu Hou, T Fukami
2010 TENCON 2010 - 2010 IEEE Region 10 Conference  
The experimental results showed that our framework achieved higher stable recognition accuracy and over-performed other existing methods.  ...  Framework are proposed to improve recognition accuracy of human identification. The framework was tested on an ear image database to evaluate its reliability and recognition accuracy.  ...  EAR IMAGE PROCESSING To make the framework work for the images in a database, it is necessary to resize all the images to a uniform size in terms of pixels as the image feature extraction in the framework  ... 
doi:10.1109/tencon.2010.5686043 fatcat:ac454suoffgytlo3rplwed5uuu

Modeling And Simulation Of Caenorhabditis elegans Chemotaxis In Response To A Dynamic Engineered Bacteria

Divya A. Pandya, Christopher A. Blanar, Robert P. Smith, Evan C. Haskell
2015 ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova  
Through the model we observe that, under static conditions, the diffusion rate of the chemoattractant is critical in influencing choice of C. elegans.  ...  We then show that if the worms learn that the chemoattractant is associated with toxicity, choice index is counterintuitively more strongly reduced with increasing diffusion rate.  ...  We would like to thanks Olena Bracho and Cyril Manchery for providing unpublished data and discussions on the experimental framework.  ... 
doi:10.7148/2015-0100 dblp:conf/ecms/PandyaBSH15 fatcat:mhnvq4n2jzcphenmukst7ns6iy

Digital Twin for Monitoring Ergonomics during Manufacturing Production

Alessandro Greco, Mario Caterino, Marcello Fera, Salvatore Gerbino
2020 Applied Sciences  
, which are able to provide results in near real time and to support the decision-making process for improving the working conditions.  ...  A case study, carried out in a laboratory, is presented for demonstrating the applicability and the effectiveness of the proposed framework.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app10217758 fatcat:y7fo4md5uferpkheefy32yogmy

An Observation-Driven Agent-Based Modeling and Analysis Framework for C. elegans Embryogenesis

Zi Wang, Benjamin J. Ramsey, Dali Wang, Kwai Wong, Husheng Li, Eric Wang, Zhirong Bao, Michael Klymkowsky
2016 PLoS ONE  
The framework is designed to incorporate the large amounts of experimental observations on cellular behavior and reserve data structures/interfaces that allow regulatory mechanisms to be added as more  ...  These considerations lead to our design and implementation of an observation-driven ABM framework for C. elegans embryogenesis, in which related fundamental aspects are included, such as lineage identity  ...  Research in the Bao lab is also supported by an NIH center grant to MSKCC (P30CA008748).  ... 
doi:10.1371/journal.pone.0166551 pmid:27851808 pmcid:PMC5113041 fatcat:6kaqfq5urzaatd6f2lngsg6cja

Quantifying Non-Stationarity with Information Theory

Carlos Granero-Belinchón, Stéphane G. Roux, Nicolas B. Garnier
2021 Entropy  
We show how the index behaves for various synthetic processes proposed to model fluid turbulence, as well as on experimental fluid turbulence measurements.  ...  We introduce an index based on information theory to quantify the stationarity of a stochastic process.  ...  Definition of an Index in the Time-Averaged Framework The two terms in the right-hand side of Equation (10) have counterparts in the timeaveraged framework.  ... 
doi:10.3390/e23121609 pmid:34945915 pmcid:PMC8700068 fatcat:okrgmxqvhfgbli3et3hffai3a4

Alternative stable states, nonlinear behavior, and predictability of microbiome dynamics [article]

Hiroaki Fujita, Masayuki Ushio, Kenta Suzuki, Masato S. Abe, Masato Yamamichi, Koji Iwayama, Alberto Canarini, Ibuki Hayashi, Keitaro Fukushima, Shinji Fukuda, E.Toby Kiers, Hirokazu Toju
2022 bioRxiv   pre-print
We monitored 48 experimental microbiomes for 110 days and observed that various community-level events, including collapse and gradual compositional changes, occurred according to a defined set of environmental  ...  index of nonlinear mechanics.  ...  We thank Sayaka Suzuki and Keisuke Koba for support in the experiment and Tadashi Fukami for insightful comments on the manuscript.  ... 
doi:10.1101/2022.08.23.505041 fatcat:yrx536zuxfe7dofo2t3fyuplxq

A Cloud Computing Implementation of XML Indexing Method Using Hadoop [chapter]

Wen-Chiao Hsu, I-En Liao, Hsiao-Chen Shih
2012 Lecture Notes in Computer Science  
The Apache Hadoop has become a widely used open source cloud computing framework that provides a distributed file system for large scale data processing.  ...  The experimental results show that NCIM is suitable for cloud computing environment.  ...  In this paper, we use Hadoop framework to present a mechanism for distributed construction and storage of indexes as well as distributed query processing for a large number of big XML documents on the  ... 
doi:10.1007/978-3-642-28493-9_28 fatcat:j67fjqhj75gyznui6atjnhytuy

Characterizing nonlinear heartbeat dynamics within a point process framework

Zhe Chen, Emery N. Brown, Riccardo Barbieri
2008 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
The proposed point process probability heartbeat interval model was tested with synthetic simulations and two experimental heartbeat interval datasets.  ...  In this paper, we propose a model of R-R interval dynamics based on a nonlinear Volterra-Wiener expansion within a point process framework.  ...  Stanley (Georgia Institute of Technology and Emory University) for providing the experimental data used in this study.  ... 
doi:10.1109/iembs.2008.4649779 pmid:19163282 pmcid:PMC2644067 fatcat:xtk7zwaesna3hozgf2icyosvxa
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