The week's pick
Reseach Article
Integration of Internet of things and Artificial Neural Networks for Efficient Mechanism
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 179 - Number 33 |
| Year of Publication: 2018 |
| Authors: Apoorv Saxena |
10.5120/ijca2018916744
|
Apoorv Saxena . Integration of Internet of things and Artificial Neural Networks for Efficient Mechanism. International Journal of Computer Applications. 179, 33 ( Apr 2018), 22-26. DOI=10.5120/ijca2018916744
Abstract
Internet of things and Artificial Neural Network are two diverse types of technologies. Their growth in last decade is astonishing and are in people’s reach. However, their integration together will result in elevated performance in field which are inevitable to touch right now like space technologies and many safety issues in industries globally. there are over 50 billion connected devices in IoT until the end of the next decade. This huge data has patterns in it which is difficult for humans to deal with as it could be structured as well as unstructured, Artificial Neural Networks can deal with this data and can learn from the pattern present in the data from which they can tell which Protocol/Steps to follow in different Circumstances. Loses of any type could be Minimized as well as productivity can be enhanced. IoT and ANN can be integrated by using different types of technologies like , Eclipse Mosquito and Eclipse Paho ,Mqtt , different types of IoT sensor and other component for ANN like heterogeneous local device processors , decompose monolithic deep model network architectures etc. this system if implemented on massive scale can bring tremendous change in ways we construct our safety policy and backup plans as everything can be done on real time. Thus in this paper we focus our attention on integration of ANN and IoT For purpose like Safety.
References
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- Internet of Things Feng Xia , Laurence T. Yang, Lizhe Wang and Alexey Vinel
- Artificial Intelligence and Big Data Daniel E. O’Leary, University of Southern California
- Smart Objects as Building Blocks for the Internet of Things Frédéric Thiesse+
- Efficient Embedded Learning for IoT Devices Swagath Venkataramani, Kaushik Roy and Anand Raghunathan School of Electrical and Computer Engineering, Purdue University
- Internet of things : A vision , architectural Elements , and future Directions Jayavardhana Gubbi , Rajkumar Buyya , Slaven Marusic ,Marimuthu palaniswami
- Deep Learning: Methods and Applications Li dong , Don yu
- Challenges in Deep Learning Plamen Angelov1 and Alessandro Sperduti
- A systemic approach for IoT security Arbia Riahi∗, Yacine Challal †, Enrico Natalizio†, Zied Chtourou∗, Abdelmadjid Bouabdallah
- Deep Learning-Based Classification of Hyperspectral Data Yushi Chen, Zhouhan Lin, Xing Zhao, Gang Wang, Member, Yanfeng Gu
- DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev Claudio Forlivesi, Lei Jiao, Lorena Qendro∗, and Fahim Kawsar
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