Results 11 to 20 of about 1,502,311 (318)

Cloud Based WiFi Multi-Sensor Network

International Journal of Online and Biomedical Engineering (iJOE), 2018
A WiFi technology was the basis of the Internet of Things (IoT) and many popularity of the wireless communication in the social network. A smart device used any kinds of the detectors all of the analog and digital sensor. This study simulates on the scope of the home security system (HSS).
Anekwong Yoddumnern, Roungsan Chaisricharoen, Thongchai Yooyativong   +2 more
openaire   +3 more sources

Surveillance Robot Using Multi Sensor Network

IJIREEICE, 2015
The field of robotics is largely unexplored by the underdeveloped and the developing countries. Robotics have been a staple of advanced manufacturing for over half a century. Over the past decade, we have seen increasing levels of investment in autonomous vehicles used for surveillance and security.
Pooventhan K, Achuthaperumal R, Kowshik S, Manoj Balajee C R   +3 more
openaire   +2 more sources

A Deep Siamese Network with Hybrid Convolutional Feature Extraction Module for Change Detection Based on Multi-sensor Remote Sensing Images

Remote Sensing, 2020
Information extraction from multi-sensor remote sensing images has increasingly attracted attention with the development of remote sensing sensors. In this study, a supervised change detection method, based on the deep Siamese convolutional network with ...
Moyang Wang, Kun Tan, Xiuping Jia, Xue Wang, Yu Chen   +4 more
doaj   +2 more sources

Wireless Sensor Network Optimization: Multi-Objective Paradigm

Sensors, 2015
Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has to ...
Muhammad Iqbal, Muhammad Naeem, Alagan Anpalagan, Ashfaq Ahmed, Muhammad Azam   +4 more
doaj   +2 more sources

Mapping Occupational Hazards with a Multi-sensor Network in a Heavy-Vehicle Manufacturing Facility. [PDF]

Ann Work Expo Health, 2019
Due to their small size, low-power demands, and customizability, low-cost sensors can be deployed in collections that are spatially distributed in the environment, known as sensor networks. The literature contains examples of such networks in the ambient
Zuidema C, Sousan S, Stebounova LV, Gray A, Liu X, Tatum M, Stroh O, Thomas G, Peters T, Koehler K.   +9 more
europepmc   +2 more sources

UV-laser-machined stretchable multi-modal sensor network for soft robot interaction

npj Flexible Electronics, 2022
Soft robotic hands can facilitate human–robot interaction by allowing robots to grasp a wide range of objects safely and gently. However, their performance has been hampered by a lack of suitable sensing systems.
Jooyeun Ham, A. K. Han, M. Cutkosky, Zhenan Bao   +3 more
semanticscholar   +1 more source

Fault Diagnosis of Bearings Based on Multi-Sensor Information Fusion and 2D Convolutional Neural Network

IEEE Access, 2021
Intelligent operation and maintenance is an important part of Industry 4.0. In order to realize the intelligent of plant equipment, it will make full use of artificial intelligence methods to evaluate the operating status of the equipment.
Jiaxing Wang, Dazhi Wang, Sihan Wang, Wenhui Li, Keling Song   +4 more
semanticscholar   +1 more source

A Robust Approach of Multi-sensor Fusion for Fault Diagnosis Using Convolution Neural Network

Journal of Dynamics Monitoring and Diagnostics, 2022
Multi-sensor measurement is widely employed in rotating machinery to ensure the safety of machines. The information provided by the single sensor is not comprehensive.
Jiahao Sun, Xiwen Gu, Jun He, Shixi Yang, Yao-Chung Tu, Chenfang Wu   +5 more
semanticscholar   +1 more source

Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter

Italian National Conference on Sensors, 2021
The Kalman filter variants extended Kalman filter (EKF) and error-state Kalman filter (ESKF) are widely used in underwater multi-sensor fusion applications for localization and navigation.
Nabil Shaukat, Ahmed Ali, M. J. Iqbal, M. Moinuddin, P. Otero   +4 more
semanticscholar   +1 more source

Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals [PDF]

IEEE Transactions on Knowledge and Data Engineering, 2021
Nowadays, multi-sensor technologies are applied in many fields, e.g., Health Care (HC), Human Activity Recognition (HAR), and Industrial Control System (ICS). These sensors can generate a substantial amount of multivariate time-series data.
Yu-xin Zhang, Yiqiang Chen, Jindong Wang, Zhiwen Pan   +3 more
semanticscholar   +1 more source