Security and Privacy of Smart Home Systems Based on the Internet of Things and Stereo Matching Algorithms

Yang, Aimin; Zhang, Chunying; Chen, Yongjie; Zhuansun, Yunxi; Liu, Huixiang

doi:10.1109/jiot.2019.2946214

Cited by 75 publications

(36 citation statements)

References 33 publications

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“…It combines a variety of sensors to exchange information with the help of mobile terminals, embedded computing devices and medical information processing platforms through sensor networks and in accordance with agreed protocols. Its structure can be divided into four levels: perception acquisition layer, transmission access layer, support management layer and service application layer [14]. The perception acquisition layer is divided into two sublayers: data acquisition sub-layer and access sub-layer.…”

Section: Related Work a Application Of Iot In Medical Fieldmentioning

confidence: 99%

Artificial Intelligence Recommendation System of Cancer Rehabilitation Scheme Based on IoT Technology

Han

et al. 2020

IEEE Access

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Section: Related Work a Application Of Iot In Medical Fieldmentioning

confidence: 99%

Artificial Intelligence Recommendation System of Cancer Rehabilitation Scheme Based on IoT Technology

Han

et al. 2020

IEEE Access

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“…GRU network was proposed in 2014, which is essentially a cyclic neural network and an improved version based on LSTM network [27]. Based on the LSTM unit, the input gate and forgetting gate in LSTM are combined into a single update gate, and the specific structure is shown in Figure 3.…”

Section: Gru Neural Networkmentioning

confidence: 99%

Study on Prediction Model of HIV Incidence Based on GRU Neural Network Optimized by MHPSO

Wang

et al. 2020

IEEE Access

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Acquired Immune Deficiency Syndrome (AIDS) is still one of the most life-threatening diseases in the world. Moreover, new infections are still potentially increasing. This difficult problem must be solved. Early warning is the most effective way to solve this problem. Here, we aim to determine the best performing model to track the epidemic of AIDS, which will provide a methodological basis for testing the time characteristics of the disease. From January 2004 to January 2018, we built four computing methods based on AIDS dataset: BPNN model, RNN model, LSTM model and MHPSO-GRU model. Compare the final estimated performance to determine the preferred method. Result. Considering the root mean square error (RMSE), mean absolute error (MAE), mean error rate (MER) and mean absolute percentage error (MAPE) in the simulation and prediction subsets, the MHPSO-GRU model is determined as the best performance technology. Estimates for the period from May 2018 to December 2020 suggest that the event appears to continue to increase and remain high.

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“…It combines with the needs of the industry to realize the intelligent application of the wireless sensor networks, 26 for example, intelligent agriculture applications, intelligent transportation applications, and smart home applications. 27 The essence of the wireless sensor networks is to serve people. The application layer completes the final interaction between objects and people.…”

Section: Construction Of Data Processing Platform Based On Wireless Smentioning

confidence: 99%

Improvement of table tennis technology based on data mining in the environment of wireless sensor networks

2020

International Journal of Distributed Sensor Networks

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With the development of Internet of things technology, the combination of Internet of things technology and sports competition parameter collection technology, so as to carry out rapid and accurate retrieval and positioning of technology and tactics, has innovation in the current research field. In the high-level table tennis competition, the use of technology and tactics is closely related to the gain and loss of points. At present, the traditional table tennis video mining algorithm has some problems such as low efficiency and poor performance of optimization classification. Based on this, this article introduces the big data platform of the wireless sensor networks to construct the table tennis match database, realizing the real-time updating of table tennis match parameters and the call of historical data at any time. Then establishing a data mining model to realize the data and dynamic analysis of table tennis matches. Finally, based on this strategic analysis system, the data collected from two table tennis competitions are simulated, and the tactical recommendation of theoretical analysis is obtained, which provides a theoretical basis for the digitization of table tennis sports.

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Security and Privacy of Smart Home Systems Based on the Internet of Things and Stereo Matching Algorithms

Cited by 75 publications

References 33 publications

Artificial Intelligence Recommendation System of Cancer Rehabilitation Scheme Based on IoT Technology

Artificial Intelligence Recommendation System of Cancer Rehabilitation Scheme Based on IoT Technology

Study on Prediction Model of HIV Incidence Based on GRU Neural Network Optimized by MHPSO

Improvement of table tennis technology based on data mining in the environment of wireless sensor networks

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