rf-instruments-power sensor

power sensor


Ultra-Low Power Sensor Design for Wireless Body Area Networks-Challenges, Potential Solutions, and Applications.
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This paper addresses the design challenges in wireless body area networks and gives an overview of recent technological achievements to tackle these challenges. It covers the areas of wireless communication, digital signal processing, sensing and read-out, and

A new protocol for a low power sensor network
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This paper proposes a simple protocol for low- power sensor networks mth battery-operated sensing devices. The sensors are ezpected to become active only when certain events in the environment occur. Therefore, a scheme for the application and medium access cycles is

Low- power sensor module for long-term activity monitoring
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Wearable sensor modules are a promising approach to collecting data on functional motor activities, both for repeated and long-term assessments, as well as to investigate the transfer of therapy to activities of daily living at home, but have so far either had limited sensing

High performance, low power sensor platforms featuring gigabyte scale storage
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Sensor applications have now touched onto the realms of real-time data processing involving algorithms as sophisticated as Fast Fourier Transform (FFT), Finite Impulse Response (FIR) filtering and Cepstrum. Moreover since typical sensor networks employ

Capacitive MEMS application for high frequency power sensor
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A new method for measuring power of high-frequency signals based on MEMS technology is described. A capacitive lowloss MEMS component for frequencies up to 7 GHz has been designed. The design aspects including high frequency simulations to achieve low The output voltages of the thermoelectric power sensor generally have the frequency- dependent characteristic, which influences the measurement accuracy of microwave power. To explain the microwave frequency-dependent characteristic, the electrothermal

i-Bean network: An ultra-low power wireless sensor network
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0.1 Keywords Wireless sensors networks, low- power sensor networks, low data-rate networks, i-Beans To support these applications, we have developed a reli- able and ultra low- power sensor network platform called the i-Bean network. The system details are presented next

A miniature low- power sensor system for real time 2D visual tracking of LED markers
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Humans effortlessly estimate positions of nearby objects in real time purely based on visual perception; a capability that is desirable for many real world robotic scenarios, such as a mobile robot approaching a target, or a robot arm reaching for human-placed objects

Normally-off MCU architecture for low- power sensor node.
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Page 1. 1 Normally-Off MCU Architecture for Low- power Sensor Node Outline Introduction Lower

Security primitives and protocols for ultra low power sensor systems
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Security requirements in sensor systems include resiliency against physical and side- channel attacks, low energy for communication, storage, and computation, and the ability to realize a variety of public-key protocols. Furthermore, primitives and protocols that enable

Design and modeling of a CNT-CMOS low- power sensor chip
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Multi-walled carbon nanotubes (MWCNTs) has proved to be good sensing elements for many purposes including flow variations sensing and chemical vapor sensing. However, they are not used in real applications due to the cost and size of the complex equipments

i-beans: An ultra-low power wireless sensor network
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0.1 Keywords Wireless sensors networks, low- power sensor networks, low data-rate networks, i-Beans To support these applications, we have developed a reli- able and ultra low- power sensor network platform called the i-Bean network. The system details are presented next

A minimum-power wireless sensor network self-deployment scheme.
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Suppose there are N active sensor nodes and each has location xk ∈ R2 (k = 1,,N). Then, for such a sensor network, the main objective of the minimum- power sensor deployment problem is to deploy the sensors in order to (i) successfully send all data to the sink (feasibility This paper presents a novel type of RF power sensor , based on a metallic structure integrated into an mm-wave range dielectric rod waveguide made of Si. The metallic structure is employed as a bolometer. Numerical simulations of temperature distribution are This paper presents an experimental study of intermodulation (IM) distortion of the capacitive power sensor based on MEMS cantilever beam for the first time. The return loss is less than- 25dB and the insertion loss is close to 0.1 dB at 8-12GHz, indicating the good microwave A new calibration method related to a twin-type mi-crocalorimeter is proposed for high- frequency power sensors. This method is based on intrinsic compensation of feeding line losses, operation that results in a unitary-gain microcalorimeter, whose mathematical model

Context-and cost-aware feature selection in ultra-low- power sensor interfaces.
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This paper introduces the use of machine learning to improve efficiency of ultra-low- power sensor interfaces. Adaptive feature extraction circuits are assisted by hardware embedded learning to dynamically activate only most relevant features. This selection is done in a

Photovoltaic cells with increased voltage output for optical power supply of sensor electronics
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link. In order to power sensor electronics efficiently, a supply voltage in the range 3 to 12 V is typically required 12]. In order to power sensor electronics efficiently, a supply voltage in the range 3 to 12 V is typically required

Design and Simulation of The GaAs Micromechanical Thermal Converter for Microwave Transmitted Power Sensor
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This paper discusses the thermo mechanical simulations performed with the aim of optimising the temperature distribution of the Micromechanical Thermal Converter (MTC), designed for a Microwave Power Sensor Microsystem. The conception of the absorbed

DUCHY: Double cost field hybrid link estimation for low-power wireless sensor networks
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Network Communication and Information Processing Laboratory Department of Electrical Engineering University of Notre Dame Notre Dame, IN 46556, USA ABSTRACT We present a novel link estimator for cost-based routing in low- power sensor networks



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