Piezoresistive micro pressure sensors are widely used for pressure *** are a few design issues need to be addressed like temperature sensitivity,placement of piezoresistive element on the membrane,design of element si...
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Piezoresistive micro pressure sensors are widely used for pressure *** are a few design issues need to be addressed like temperature sensitivity,placement of piezoresistive element on the membrane,design of element size,*** better sensitivity the length of piezoresistor needs to be increased whereas the thickness needs to be *** a square membrane,the maximum stress value occurs at the center of the edge and decreases rapidly towards the center of the *** in length of the piezoresistor beyond a limit will develop huge design error,since the localized stress variations are not considered in the *** solution could be breaking down the resistance into smaller pieces and conne cting them in series and positioning them in the maximum stress *** paper discusses about the design of such a piezoresistive micro pressure sensor with optimized position placement and element ***,a square diaphragm piezoresistive pressure using classical governing equations is ***,three of the physics such as structural mechanics,piezoresistive physics and electrical physics are involved in the design;Comsol Multiphysics 4.3 is used to make a comparative study of the model with analytical *** stress variation over the diaphragm is analyzed and the length of the piezoresistive element is designed by restricting the element in the maximum stress region.A Matlab code is written to find the optimum element size,and number of elements to be connected in *** material properties,dimensions of the membrane,initial resistance and sheet resistance of the piezoresistor are considered as variables and obtained as user inputs.
The availability of high-resolution image radars allows estimating the orientation of vehicles from a single measurement without temporal filtering. This gives the opportunity to react even faster to certain critical ...
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Firearm suppressors reduce the muzzle blast of a gunshot through a series of baffles contained in a canister. The American National Standards institute has no firearm suppressor testing standards. A recent NATO test s...
Firearm suppressors reduce the muzzle blast of a gunshot through a series of baffles contained in a canister. The American National Standards institute has no firearm suppressor testing standards. A recent NATO test standard, AEP 4875, ignores the contribution of the ground reflection at the shooter’s ears and is not representative of how firearms are typically fired. The aim of this study is to commence empirical development of a standard to assess the noise reduction of firearm suppressors for hearing conservation purposes. Fourteen firearms with and without a suppressor were evaluated with high velocity and low velocity (subsonic) ammunition. Twelve microphones were positioned in a ring 3 meters from the muzzle with 30° spacing and 1.5 meters above the ground. One microphone was positioned at 1 meter to the left of the muzzle and two microphones were positioned at 15 centimeters from the right and left ears of the firearm operator. The suppressors were effective in reducing the peak sound pressure levels between 3 and 28 dB and A-weighted equivalent energy (LAEQ) between 2 and 24 dB.
The article introduced the implementation of the anti-jam technology based on the adaptive arrays theory for the GNSS. On the condition that the direction of arrival of the expected satellite signal is unknown, the bl...
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作者:
Petr GabrlikDepartment of Control and Instrumentation
Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Central European Institute of Technology Brno University of Technology Brno Czech Republic
This paper deals with the practical use of the direct georeferencing technique which has applying in the area of aerial photogrammetry and digital surface model (DSM) creation. Todays micro unmanned aerial vehicles (U...
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This paper deals with the practical use of the direct georeferencing technique which has applying in the area of aerial photogrammetry and digital surface model (DSM) creation. Todays micro unmanned aerial vehicles (UAVs) are able to carry high resolution camera, global navigation satellite system (GNSS) receiver with up to 1 centimeter position accuracy and inertial measurement unit (IMU) based on MEMS technology. These sensors are fundamental for the direct georeferencing. Some types of micro UAVs platforms and aerial mapping methods are descibed at the begening. Special attention is paid to geometric method called triangulation witch forms the basis of the technique. Practical photogrammetric measurement with simulated aerial photographic data is described in the second part of the paper. For this purposes low- cost commercial camera as a image sensor and high-accurate real time kinematic (RTK) GNSS receiver as a positon sensor was used.
The Beidou navigation satellite system has become a popular choice in many fields for its special characteristics. In the presence of the blanket jamming, it becomes very important to maintain the normal work by the a...
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This paper addresses the problem of curb detection for ADAS or autonomous navigation in urban scenarios. The algorithm is based on clouds of 3D points. It is evaluated using 3D information from a pair of stereo camera...
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This paper addresses the problem of curb detection for ADAS or autonomous navigation in urban scenarios. The algorithm is based on clouds of 3D points. It is evaluated using 3D information from a pair of stereo cameras and a LIDAR. Curbs are detected based on road surface curvature. The curvature estimation requires a dense point cloud, therefore the density of the LIDAR cloud has been augmented using Iterative Closest Point (ICP) based on the previous scans. The proposed algorithm can deal with curbs of different curvature and heights, from as low as 3 cm, in a range up to 20 m (whenever that curbs are connected in the curvature image). The curb parameters are modeled using straight lines and compared to the ground-truth using the lateral error as the key parameter indicator. The ground-truth sequences were manually labeled on urban images from the KITTI dataset and made publicly available for the scientific community.
For the problem that the location of LBSN users was sparse because of it was updated sporadically. An important place identification method was studied by improving the clustering algorithm. Firstly, a velocity prunin...
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ISBN:
(纸本)9781467381277
For the problem that the location of LBSN users was sparse because of it was updated sporadically. An important place identification method was studied by improving the clustering algorithm. Firstly, a velocity pruning algorithm was applied to remove interference points from source data. Secondly, clustering algorithm based on density peak named CFSFDP was selected. To solve the problem that it is unable to decide the cluster number with CFSFDP, an improved algorithm was presented. With a cluster center automatic choosing strategy, the algorithm searched for the `turning points' with the trends of cluster center weights changing. Then we could regard a set of points which weight is bigger than turning points' as cluster center. As a result, the error brought by ruling in the Decision Graph could be avoided with the strategy. Thirdly, reverse geocoding technology was applied to translate coordinate in semantic place. Check-in data of Foursquare user was set as an example in experiment, the result show that the improved algorithm had higher accuracy rate and lower computation compared to CFSFDP and DBSCAN. It also proved that the feasibility and effectiveness of the method proposed in the paper.
Multi-hop localization is a common method which is suitable for large-scale application. However, it is usually influenced by the network anisotropy, leading to the instability of the localization performance. In orde...
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Multi-hop localization is a common method which is suitable for large-scale application. However, it is usually influenced by the network anisotropy, leading to the instability of the localization performance. In order to reduce the influence of the network anisotropy on the localization accuracy, this paper regards the localization as a regression forecasting process by constructing the mapping relationship between hop-counts and Euclidean distances among nodes. The method can effectively avoid the influence of anisotropy on localization, and it has low computation overhead and high localization accuracy without setting complex parameters. The simulation experimental results show that compared with the previous similar algorithms, the proposed algorithm can obtain a faster localization speed and a higher localization accuracy.
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