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Design and Implementation of a Hybrid Architecture Big Data Platform for Catchment Water Resource Spatial Temporal Management and Control [chapter]

Yuhong Li, Jiajun Lu, Qiongfeng Jiang, Zhiyuan Zeng
2021 Advances in Transdisciplinary Engineering  
multi-source heterogeneous data and concurrent access support.  ...  This paper develops a hybrid architecture storage and retrieval system for large spatial temporal data of catchment water resource, which solves the problems of efficient storage and retrieval of massive  ...  Acknowledgment This project was supported by the Major projects of technological innovation in Hubei Province (No. 2019ACA155).  ... 
doi:10.3233/atde210214 fatcat:55z22qtvpvgmjbehc4wyhbvxru

Construction of Big Database in the Field of Public Security: A Case Study in Shenzhen [chapter]

Jixiao Yin, Diping Yuan, Guohua Wu, Zuoxin Wang, Yiping Zeng, Jun Ling, Qinliang Li
2021 Advances in Transdisciplinary Engineering  
At the same time, the exchange and sharing of internal and external data of the Emergency Management Bureau lacks a unified data standard, and a unified data platform has not been built for centralized  ...  Therefore, it is difficult for the newly established emergency management bureau to effectively support the business process reengineering, collaborative command, big data intelligent decision-making and  ...  In addition, according to data ation and definition, it connects multi-source heterogeneous data to big data center mpletes data reconciliation with data provider. ata processing: data processing is  ... 
doi:10.3233/atde210325 fatcat:qnjoeji2zbdklli4xxonj4anmu

The Framework of Social Networks Big Data Processing Based on Cloud Computing

Liu Kewen, Gao Changyuan
2016 International Journal of Database Theory and Application  
With the rise of cloud computing, internet of things, social networks, the type and scale of data in human society has increased at an unprecedented rate, making data from being a simple object to be process  ...  Although the distributed storage and analysis of cloud computing platform have been  ...  Acknowledgement This work was financially supported by project of National Natural Science Foundation of China (71272191).  ... 
doi:10.14257/ijdta.2016.9.10.16 fatcat:di5skan4qzdmbojsj2vdtrhss4

Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments

Veith Alexandre da Silva, Anjos Julio C.S. dos, de Freitas Edison Pignaton, Lampoltshammer Thomas J., Geyer Claudio F.
2016 IFAC-PapersOnLine  
Via these services, a distribution of tasks for the best balance of computational resources is achieved, while monitoring and management can be performed asynchronously in the background.  ...  These expectations require the realization of a sustainable general purpose application framework that is capable to handle these kind of environments with their complexity in terms of heterogeneity and  ...  Anjos et al. (2015) presented the SMART platform, which is a modular framework for Big Data analysis.  ... 
doi:10.1016/j.ifacol.2016.11.138 fatcat:zy45z7ztc5f6zbmx4pskr7w5a4

Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments [article]

Alexandre Da Silva Veith, Edison Pignaton de Freitas AVALON
2017 arXiv   pre-print
Via these services, a distribution of tasks for the best balance of computational resources is achieved, while monitoring and management can be performed asynchronously in the background.  ...  These expectations require the realization of a sustainable general purpose application framework that is capable to handle these kinds of environments with their complexity in terms of heterogeneity and  ...  Anjos et al. (2015) presented the SMART platform, which is a modular framework for Big Data analysis.  ... 
arXiv:1708.04796v1 fatcat:ieeqnouvifg5fgecl2ac7yuooa

Intelligent Development Environment and Software Knowledge Graph

Ze-Qi Lin, Bing Xie, Yan-Zhen Zou, Jun-Feng Zhao, Xuan-Dong Li, Jun Wei, Hai-Long Sun, Gang Yin
2017 Journal of Computer Science and Technology  
IntelliDE is an ecosystem in which software big data are aggregated, mined and analyzed to provide intelligent assistance in the life cycle of software development.  ...  We study its concept and introduce some concrete details and examples to show how it could be constructed and leveraged.  ...  Different aspects of software are hidden in multi-source and heterogeneous software data.  ... 
doi:10.1007/s11390-017-1718-y fatcat:htzrwi6a4fcaloevxrvjpzd43m

The Industrial Internet Platform: Trend and Challenges

Chen Wang, Liang Song, Shaokun Li
2018 Chinese Journal of Engineering Science  
Furthermore, the technical challenges of IIP in modeling and analyzing industry big data are discussed in depth.  ...  In this paper, the development trends of IIP are explained, and the challenges in building the client ecosystem, developer ecosystem, and data ecosystem of IIP are analyzed.  ...  Management technology of multi-modal data A large number of multisource heterogeneous data are produced in industry.  ... 
doi:10.15302/j-sscae-2018.02.003 fatcat:7pbpsksdn5hpnlusvjsz5mh2fm

Special issue on 2020 international conference on machine learning and big data analytics for IoT security and privacy (SPIoT-2020)

Jinghua Zhao, Qingyuan Zhou
2021 Neural computing & applications (Print)  
,-volV) feedback to the authors of the papers.  ...  The guest editors also would like to thank journal editor Rachel Moriarty, Deepika Sureshkumar, and Rashmi Jenna for their help on submission and publication.  ...  The guest editors would like to thank the reviewers for their high-quality reviews, which provided insightful and constructive  ... 
doi:10.1007/s00521-021-05784-3 fatcat:nd723np4azebfjwclb2x3jbsde

Advances in big data programming, system software and HPC convergence

Ching-Hsien Hsu, Geoffrey Fox, Geyong Min, Sugam Sharma
2019 Journal of Supercomputing  
The model is one of the few efficient data models that have the capability of handling heterogeneous dimensions, ordinary, temporal and spatio-temporal, of the big data in a uniform way.  ...  A crucial step of integrating data from multiple sources is detecting and eliminating duplicate records.  ... 
doi:10.1007/s11227-018-2706-x fatcat:ehkbtokau5henf324xukgfhgey

Research on the thinking path of enterprise management in the era of big data

Ying Guo, J.C.M. Kao, W.-P. Sung
2016 MATEC Web of Conferences  
This article embarks from the enterprise management under the background of big data, according to three aspects: production, marketing, transportation, a full range analysis to in the era of big data  ...  Big data era has arrived, companies need new management ideas and solutions to cope with the challenges of the new situation.  ...  Data types (multi-source, heterogeneous, multi source heterogeneous, multi modal, multi class grammar writing, non coherent language, grammar hybrid, etc.) are diverse, and have a high degree of  ... 
doi:10.1051/matecconf/20166304033 fatcat:ycsnppoedzdh3dlatjyvqy2avm

ELASTIC CLOUD COMPUTING ARCHITECTURE AND SYSTEM FOR HETEROGENEOUS SPATIOTEMPORAL COMPUTING

X. Shi
2017 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This is the same situation in utilizing a cluster of Intel's many-integrated-core (MIC) or Xeon Phi, as well as Hadoop or Spark platforms, to handle big spatiotemporal data.  ...  Some are perfect for implementation on a cluster of graphics processing units (GPUs), while GPUs may not be useful on certain kind of spatiotemporal computation.  ...  Partially sponsored by NSF SMA-1416509, we also developed pilot study to utilize Spark cloud computing platform for geocomputation and data mining over big geospatial and social media Data.  ... 
doi:10.5194/isprs-annals-iv-4-w2-115-2017 fatcat:3iij6pxybjbxno2524jbhbbea4

A High-Dimensional Indexing Model for Multi-Source Remote Sensing Big Data

Lilu Zhu, Xiaolu Su, Xianqing Tai
2021 Remote Sensing  
We design a hierarchical multi-dimensional hybrid indexing model (HMDH), to address the problems in underlying organization and management, and improve query efficiency.  ...  With continuous improvement of earth observation technology, source, and volume of remote sensing data are gradually enriched.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13071314 fatcat:hv5he7gw5jgipllaek75nrpnka

Personalizing Medicine Through Hybrid Imaging and Medical Big Data Analysis

Laszlo Papp, Clemens P. Spielvogel, Ivo Rausch, Marcus Hacker, Thomas Beyer
2018 Frontiers in Physics  
This paper provides a general insight into medical big data analysis in light of the use of hybrid imaging information.  ...  These challenges increase in complexity when employing hybrid, aka dual-or even multi-modality image data as input to big data repositories.  ...  for a better understanding of disease and multi-center data pooling alike [24] .  ... 
doi:10.3389/fphy.2018.00051 fatcat:3ikjf4gqwfao5dngsqepuhmetu

Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data

Chen Wu, Qing Zhu, Yeting Zhang, Xiao Xie, Han Qin, Yan Zhou, Pengcheng Zhang, Weijun Yang
2018 ISPRS International Journal of Geo-Information  
However, they suffer from poor management of the diverse movement processes contained within it; for example, they cannot support associative queries or comprehensive analysis of multi-type GeoVideo data  ...  references, interpretations of the video data, and the overall scene) in a Not only SQL-Structured Query Language (NoSQL-SQL) hybrid GeoVideo database.  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their constructive comments and suggestions. Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/ijgi7070255 fatcat:5ydefpmygranrgfroqnbyerfwa

Machine Learning and Integrative Analysis of Biomedical Big Data

Bilal Mirza, Wei Wang, Jie Wang, Howard Choi, Neo Christopher Chung, Peipei Ping
2019 Genes  
In this review, we discuss state-of-the-art ML-based approaches for tackling five specific computational challenges associated with integrative analysis: curse of dimensionality, data heterogeneity, missing  ...  Integrative analysis of multi-omics and clinical data is key to new biomedical discoveries and advancements in precision medicine.  ...  technique (SMOTE)), or a combination of both (hybrid).  ... 
doi:10.3390/genes10020087 pmid:30696086 pmcid:PMC6410075 fatcat:vopnjgke4fculmr7t3n43ewfiy
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