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Optimisation of Sensor and Sensor Node Positions for Shape Sensing with a Wireless Sensor Network-A Case Study Using the Modal Method and a Physics-Informed Neural Network. [PDF]
Sensors (Basel)Meyer Zu Westerhausen S +3 more
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Enhancing ATMO-Street model accuracy through emission source analysis using a dense sensor network: a Warsaw case study. [PDF]
Environ Monit AssessSattari A +5 more
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Acoustic Source Localization Based on the Two-Level Data Aggregation Technology in a Wireless Sensor Network. [PDF]
Sensors (Basel)Feng Y, Hu G, Hong 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
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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
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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
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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
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Classification in Sensor Networks
International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings., 2004We consider the problem of classifying among a set of M hypothesis with N distributed noisy sensors. The N sensors can collaborate over a finite link-capacity network. The task is to arrive at a consensus about the event after exchanging such messages. In contrast to the conventional decentralized detection approach, wherein the bit rates for each link
Venkatesh Saligrama +3 more
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