Results 241 to 250 of about 912,248 (296)
A Low-Cost pH Sensor for Real-Time Monitoring of Aquaculture Systems in a Multi-Layer Wireless Sensor Network. [PDF]
Zeta BMA +3 more
europepmc +1 more source
Dataset of real time multi-parameter monitoring for loess slopes in Gaolan mountain, Lanzhou, China: Multi-sensor network for hydrology and geophysics. [PDF]
Li S +13 more
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A Wireless Sensor Network-Based Combustible Gas Detection System Using PSO-DBO-Optimized BP Neural Network. [PDF]
Zhou M, Wang S, Li J, Wei Z, Shui L.
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A wireless, scalable and modular EEG sensor network platform for unobtrusive brain recordings
Ding R +4 more
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IEEE Transactions on Instrumentation and Measurement, 2006
This paper deals with a smart-transducer wireless network for industrial applications. Thanks to its high popularity, a solution based on IEFE802.11 (also known as wireless fidelity or Wi-Fi) is experimentally investigated. A master-slave network organization is proposed to allow several sensors to be connected with generic Wi-Fi devices like PCs; a ...
FERRARI, Paolo +3 more
openaire +4 more sources
This paper deals with a smart-transducer wireless network for industrial applications. Thanks to its high popularity, a solution based on IEFE802.11 (also known as wireless fidelity or Wi-Fi) is experimentally investigated. A master-slave network organization is proposed to allow several sensors to be connected with generic Wi-Fi devices like PCs; a ...
FERRARI, Paolo +3 more
openaire +4 more sources
2009
Sensors are essential devices in many industrial applications such as factory automation, digital appliances, aircraft/automotive applications, environmental monitoring, and system diagnostics. The main role of those sensors is to measure changes of physical quantities of surroundings.
Zhongqing Su, Lin Ye
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Sensors are essential devices in many industrial applications such as factory automation, digital appliances, aircraft/automotive applications, environmental monitoring, and system diagnostics. The main role of those sensors is to measure changes of physical quantities of surroundings.
Zhongqing Su, Lin Ye
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ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240), 2002
As sensor nodes are embedded into physical environments and becoming integral parts of our daily lives, sensor networks will become the important nerve systems that monitor and actuate our physical environments. We define the process of monitoring the status of a sensor network and figuring out the problematic sensor nodes sensor network diagnosis ...
Chaiporn Jaikaeo +2 more
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As sensor nodes are embedded into physical environments and becoming integral parts of our daily lives, sensor networks will become the important nerve systems that monitor and actuate our physical environments. We define the process of monitoring the status of a sensor network and figuring out the problematic sensor nodes sensor network diagnosis ...
Chaiporn Jaikaeo +2 more
openaire +1 more source
On the grid and sensor networks
Proceedings. First Latin American Web Congress, 2004The pervasive computing environment and the wired grid infrastructure can be combined to make the information grid truly pervasive. Interesting applications can be built by utilizing the computational abilities of the grid to answer queries on sensor data.
Vipul Hingne +3 more
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2007 International Symposium on System-on-Chip, 2007
In this paper, we present the sensor network-on-a-chip (SNOC) paradigm for designing robust and energy-efficient systems-on-a-chip (SOC). In this paradigm, computation in the presence of nanometer non-idealities such as process variations, leakage and noise is viewed as an estimation problem. Robust statistical signal processing theory is then employed
Girish Varatkar +3 more
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In this paper, we present the sensor network-on-a-chip (SNOC) paradigm for designing robust and energy-efficient systems-on-a-chip (SOC). In this paradigm, computation in the presence of nanometer non-idealities such as process variations, leakage and noise is viewed as an estimation problem. Robust statistical signal processing theory is then employed
Girish Varatkar +3 more
openaire +1 more source

