Deep Neural Network-Embedded Internet of Social Computing Things for Sustainability Prediction

Abstract

Social computing, exploiting utilization of advanced computational techniques to overcome typical problems in social science, has been a more visualized conception in academia. However, existing researches still suffer from two aspects of challenges: 1) lack of reliable multi-source data acquisition and management; 2) absence of high-performance algorithmic approaches. Fortunately, some newly-emerged cross-discipline technologies offer more opportunities to enhance conventional solutions. For the former, characterized by its property of information collection and integration, Internet of Things (IoT) can be introduced to produce a novel architecture named Internet of Social Computing Things (IoSCT). For the latter, specific neural network models can be set up to manipulate complicated calculation. Thus, taking the issue of sustainability prediction as objective situation, deep neural network-embedded Internet of Social Computing Things (NeSoc) is proposed in this paper. Firstly, IoSCT is put forward as bottom support platform, guaranteeing comprehensive resource involvement of social computing. Secondly, a hybrid neural network mechanism is formulated and embedded into IoSCT for centralized modeling. Finally, a series of experiments are conducted on a real-world dataset to evaluate performance of the proposed NeSoc.

Smart Garage Utilizing Internet of Things (IoT)

“…Technologies such as short-range wireless communication radio-frequency identification and wireless sensor networks (WSN) have permitted the Internet to dive into embedded computing [19][20][21][22]. Various keywords were used such as "internet", "web of things", "mobile computing", "web", and concatenation of them.…”

Smart helmet using internet of things

“…This paper aims to increase the safety of the two-wheeler riders and bikers against road accidents. Technologies such as short-range wireless communications, radio-frequency identification@(RFID) and wireless sensor networks@(WSN) have permitted the Internet to dive into embedded computing [7][8][9][10].…”