4 2 Effect of Thickness of Silicon Membrane on CharacteristicsWh

4.2. Effect of Thickness of Silicon Membrane on CharacteristicsWhen the test environment temperature is 22 ��C, and relative humidity is 15% RH, calibration experiments of the nc-Si/c-Si heterojunction MOSFETs pressure sensor, which includes the nc-Si/c-Si heterojunction MOSFETs with L:W ratio 2:1 and square silicon membrane thickness 75 ��m and http://www.selleckchem.com/products/VX-770.html 45 ��m, respectively, are done using a Mensor PCS400 pressure calibration systems, HP34401A multimeter and BJ1790B power supply. The additional pressure range of the sensor with silicon membrane thickness 75 ��m, are from 0 to 160 kPa, the additional pressure range of the sensor with silicon membrane thickness 45 ��m, are from 0 to 20 kPa.When the supply voltage VDD is 1.0 V, 1.5 V and 3.
0 V, respectively, Figure 7 shows the input-output characteristic experimental curves of the pressure sensor with c
Digital surface models (DSMs) depict the elevation of surfaces visible from the sensor, such as building tops, tree tops, or unoccluded bare ground [1]. Today, specialists from a large range of disciplines are making use of such models. For example, in forest science DSMs are used to model the canopy surface of forests and analyse its vertical structure [2,3]. Thus, DSMs enable the 3D modelling of the forest canopy, which allows assessments of tree cover [4], estimation of crown structure [5], measurements of canopy heights [6,7] and the detection of canopy gaps [8], including the monitoring of these properties over time. For all the mentioned applications it is crucial to know the accuracy of the input data for the DSM generation as they influence the usability and reliability of the generated results.
In general the preferred data source option for digital surface modelling Brefeldin_A is a balance between the desired accuracy of the DSM, the costs involved in its creation and the availability of the input data [9]. Remotely sensed data are suitable for DSM generation [10�C12] and can be acquired on different platforms (e.g., satellite, airplane) [13]. There selleck Romidepsin are two main types of remote sensing: active systems such as laser or radar, and passive systems such as optical images. In the last two decades airborne laser scanning (ALS) has taken an upturn due to its operability [14]. In forest research airborne laser scanning is often the method of choice, because in forested areas the laser can penetrate to the ground [15]. Airborne laser scanning is costly, however, which limits repeated measurements for the monitoring of changes in the forest.

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