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Titlebook: Recent Advances in Sensing Technology; Subhas Chandra Mukhopadhyay,Gourab Sen Gupta,Ray Y Book 2009 Springer-Verlag Berlin Heidelberg 2009

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樓主: 遮蔽
41#
發(fā)表于 2025-3-28 16:40:29 | 只看該作者
42#
發(fā)表于 2025-3-28 22:37:20 | 只看該作者
Studies on Gas Sensing Performance of Pure and Nano- Ag Doped ZnO Thick Film Resistorsshowed maximum sensitivity to CO gas at 100 .C for 100ppm gas concentration. To improve the sensitivity and selectivity of the film towards a particular gas, ZnO thick films were surface modified by dipping them in a solution of nano silver for different intervals of time. These surface modified ZnO
43#
發(fā)表于 2025-3-29 02:01:09 | 只看該作者
Micro Temperature Sensors and Their Applications to MEMS Thermal Sensorsabsolute temperature, which are proposed by the author, are presented. Novel temperature-difference sensor based on the short circuit Seebeck-current measurement of a single thermocouple using the imaginary short circuit of the OP amplifier is also proposed, and a method to evaluate the performance
44#
發(fā)表于 2025-3-29 03:58:36 | 只看該作者
45#
發(fā)表于 2025-3-29 08:16:25 | 只看該作者
46#
發(fā)表于 2025-3-29 12:43:45 | 只看該作者
A GMR Needle Probe to Estimate Magnetic Fluid Weight Density Inside Large Tumorscific heat equation which governs the heat given in hyperthermia therapy to destroy cancer cells. Hence, accurate estimation of magnetic fluid weight density is critical for successful treatment. This paper presents a methodology to estimate magnetic fluid weight density inside the body and experimental results, by a needle-type GMR sensor.
47#
發(fā)表于 2025-3-29 19:06:52 | 只看該作者
Vision Sensor with an Active Digital Foveaprocess data as it is streamed from the camera necessitates implementing the warping using a forward mapping rather than the more common reverse mapping. The implications of this for FPGA implementation are described.
48#
發(fā)表于 2025-3-29 22:07:26 | 只看該作者
49#
發(fā)表于 2025-3-30 00:34:43 | 只看該作者
50#
發(fā)表于 2025-3-30 06:48:26 | 只看該作者
Ultra-Wideband Radars for Through-Wall Imaging in Roboticsidea is to apply concepts from tomography and synthetic aperture radar to gather cross-sectional information of indoor environments using some recent developments in UWB technology. Most of these techniques have not been fully exploited within the robotics community although they were developed more than three decades ago.
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