Journal ArticleDOI
A Big Data-as-a-Service Framework: State-of-the-Art and Perspectives
TLDR
A tensor-based multiple clustering on bicycle renting and returning data is illustrated, which can provide several suggestions for rebalancing of the bicycle-sharing system and some challenges about the proposed framework are discussed.Abstract:
Due to the rapid advances of information technologies, Big Data, recognized with 4Vs characteristics (volume, variety, veracity, and velocity), bring significant benefits as well as many challenges A major benefit of Big Data is to provide timely information and proactive services for humans The primary purpose of this paper is to review the current state-of-the-art of Big Data from the aspects of organization and representation, cleaning and reduction, integration and processing, security and privacy, analytics and applications, then present a novel framework to provide high-quality so called Big Data-as-a-Service The framework consists of three planes, namely sensing plane, cloud plane and application plane, to systemically address all challenges of the above aspects Also, to clearly demonstrate the working process of the proposed framework, a tensor-based multiple clustering on bicycle renting and returning data is illustrated, which can provide several suggestions for rebalancing of the bicycle-sharing system Finally, some challenges about the proposed framework are discussedread more
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Proceedings ArticleDOI
Research on Master-Slave Distributed Large-Scale Poultry Farming Measurement and Control System
TL;DR: A master-slave distributed large-scale poultry farming measurement and control system with a network model adopting a total star-shaped structure, a cloud service monitoring center manages multiple lower-machine monitoring sub-stations, which overcomes the problem of insufficient control force, eliminates the hidden danger in manual management, expands the control scope, and improves the automatic control ability of poultry house environment.
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Edge–Cloud-Aided Differentially Private Tucker Decomposition for Cyber–Physical–Social Systems
TL;DR: In this article , a novel edge-cloud-aided differentially private Tucker decomposition scheme is proposed to avert data owner's private data from being learned by other data owners, untrusted edge, and cloud during tucker decomposition for CPSS.
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NMF based image sequence analysis and its application in gait recognition
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Mutual Informative MapReduce and Minimum Quadrangle Classification for Brain Tumor Big Data
TL;DR: In this paper , a framework called mutual informative MapReduce and minimum quadrangle classification (MIMR-MQC) is introduced for brain tumor detection to handle challenges associated with big data classification.
Proceedings ArticleDOI
A Blockchain Based Fast Authentication Framework for IoT Networks with Trusted Hardware
Chanying Huang,Kedong Yan +1 more
TL;DR: In this paper, a blockchain based authentication framework for IoT applications is presented, which achieves sufficient security provision such as identity anonymity, perfect secrecy, traceability, and resistance to common attacks.
References
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Learning the parts of objects by non-negative matrix factorization
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