HomePage >> Journals >> Electrical Engineering and Automation

Electrical Engineering and Automation

Electrical Engineering and Automation is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of electrical theory and automation on the combination of electrical theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest power electronics theoretical and technical research improvement in the fields of nature science, engineering technol... [More] Electrical Engineering and Automation is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of electrical theory and automation on the combination of electrical theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest power electronics theoretical and technical research improvement in the fields of nature science, engineering technology, economy and science, report of latest research result, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of electrical theory development for professionals, scholars and researchers in this field, reflecting the academic front level, promote academic change and foster the rapid expansion of electrical theory and automation application technology.

The journal receives manuscripts written in Chinese or English. As for Chinese papers, the following items in English are indispensible parts of the paper: paper title, author(s), author(s)'affiliation(s), abstract and keywords. If this is the first time you contribute an article to the journal, please format your manuscript as per the sample paper and then submit it into the online submission system. Accepted papers will immediately appear online followed by printed hard copies by Ivy Publisher globally. Therefore, the contributions should not be related to secret. The author takes sole responsibility for his views.

ISSN Print:2326-876X

ISSN Online:2326-8778

Email:eea@ivypub.org

Website: http://www.ivypub.org/eea/

  0
  0

Paper Infomation

Research on Intelligent Fusion Method of Multi-sensor Data in Internet of Things

Full Text(PDF, 263KB)

Author: Yulan Liu

Abstract: A huge network formed by the combination of information gathering and the Internet aims to realize the connection between things and things, things and people, all goods and networks, and facilitate the identification, management and control of the Internet of Things. In order to solve the inconsistency of various types of sensor communication protocols in the Internet of Things and the problem of data analysis, Association and evaluation of real-time multi-sensor data acquisition for different business applications, it is of great significance to develop multi-sensor protocol integration and information fusion. The method of simulating the sensor data simulates the converted data, and then according to the specific requirements of the measurement, the same type of data obtained by various sensors is converted into different physical quantities they represent. According to the theoretical analysis and ontology relationship of sensor data fusion in the Internet of Things, as well as the general method of sensor ontology intelligent fusion, the application in multi-sensor data fusion in the Internet of Things lays a foundation for intelligent control and decision analysis of the Internet of Things system.

Keywords: Internet of Things; Multi-sensor; Data Fusion

References:

[1] Si L, Wang Z, Liu X, et al. Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory. Sensors, 2015, 15(11):28772-28795.

[2] André, Cyrille, Hégarat-Mascle, Sylvie Le, Reynaud R.Evidential framework for data fusion in a multi-sensor surveillance system. Engineering Applications of Artificial Intelligence, 2015, 43:166-180.

[3] Safizadeh M S, Latifi S K.Using multi-sensor data fusion for vibration fault diagnosis of rolling element bearings by accelerometer and load cell. Information Fusion, 2014, 18:1-8.

[4] Luo R C, Lai C C.Multisensor Fusion-Based Concurrent Environment Mapping and Moving Object Detection for Intelligent Service Robotics. IEEE Transactions on Industrial Electronics, 2014, 61(8):4043-4051.

[5] Chavez-Garcia R O, Aycard O.Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking. IEEE Transactions on Intelligent Transportation Systems, 2015, 17(2):1-10.

[6] Gravina R, Alinia P, Ghasemzadeh H, et al. Multi-Sensor Fusion in Body Sensor Networks: State-of-the-art and research challenges. Information Fusion, 2017, 35:68-80.

[7] Jing Q , Vasilakos A V , Wan J , et al. Security of the Internet of Things: perspectives and challenges. Wireless Networks, 2014, 20(8):2481-2501.

[8] Braca P, Goldhahn R, Ferri G, et al. Distributed Information Fusion in Multistatic Sensor Networks for Underwater Surveillance. IEEE Sensors Journal, 2015:1-1.

Privacy Policy | Copyright © 2011-2024 Ivy Publisher. All Rights Reserved.

Contact: customer@ivypub.org