The Experts below are selected from a list of 776643 Experts worldwide ranked by ideXlab platform
Hong Yong-qiang - One of the best experts on this subject based on the ideXlab platform.
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Application of Virtual Reality Technology in Micro Electro Mechanical System
Computer Simulation, 2003Co-Authors: Hong Yong-qiangAbstract:This paper proposes the application of the virtual reality(VR) technology in the research, design, teaching and training of the micro electro-mechanical Systems(MEMS) after the research of MEMS's requirement for VR technology and its application prospect according to the characteristics and technical requirements of MEMS and the intension, main characteristics and relevant technologies of VR. It studies the interaction and inter-development of VR technology and MEMS, and puts forward the application of MEMS in VR.
Shijie Zhao - One of the best experts on this subject based on the ideXlab platform.
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the structure measurement of micro electro mechanical System devices by the optical feedback tomography technology
Applied Physics Letters, 2013Co-Authors: Chunxin Xu, Yidong Tan, Shulian Zhang, Shijie ZhaoAbstract:We describe a potential way to obtain the images of the surface and internal structure of Micro-Electro-Mechanical System devices by optical feedback tomography technology. By using different materials and various structures of micro devices as the samples, this approach is proved to be able to measure the geometric structure of the micro device, including the internal structure, which makes it possible to detect whether the micro-device tested meets its fabrication requirements.
Tsutomu Masaki - One of the best experts on this subject based on the ideXlab platform.
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Precise tumor size measurement under constant pressure by novel real-time Micro-Electro-Mechanical-System hood for proper treatment (with videos)
Surgical Endoscopy, 2015Co-Authors: Hirohito Mori, Hidekuni Takao, Hideki Kobara, Noriko Nishiyama, Shintaro Fujihara, Tae Matsunaga, Maki Ayaki, Tsutomu MasakiAbstract:Background Tumor size determination is subject to the measurement method used by endoscopists and is especially dependent on the air quantity. As the intraluminal pressure must be measured objectively to obtain an accurate tumor size measurement, insufflation can affect the results. Thus, we examined the utility of a Micro-Electro-Mechanical-System (MEMS) pressure sensor hood. Methods Twenty consecutive air insufflation/deflation tests were performed in vivo using a dog’s stomach. Correlations between the actual pressure measured and the signal strength of the MEMS hood were measured. We marked 2 points 20 mm on the antrum and another 3 points, with insufflation corresponding to the maximum stable distance of two markings. We performed five insufflation/deflation tests to obtain the relationship between pressure and distances to accurately measure the distance under constant pressure. Results In the air insufflation/deflation test performed 20 consecutive times, the MEMS hood signal strength (V) and the pressure measurement sensor values (mmHg) showed good correlation. There was good correlation between intraluminal pressures of 2.5–40 mmHg and the two marking distances on the antrum (correlation coefficient 0.952) ( P
Huiliang Cao - One of the best experts on this subject based on the ideXlab platform.
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Temperature drift modeling and compensation of Micro-Electro-Mechanical System gyroscope based on improved support vector machine algorithms:
International Journal of Distributed Sensor Networks, 2020Co-Authors: Xinwang Wang, Huiliang CaoAbstract:This article suggested two methods to compensate for the temperature drift of the Micro-Electro-Mechanical System gyroscopes, which are support vector machine method and C-means support vector mach...
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note parallel processing algorithm of temperature and noise error for micro electro mechanical System gyroscope based on variational mode decomposition and augmented nonlinear differentiator
Review of Scientific Instruments, 2018Co-Authors: Chong Shen, Jiangtao Yang, Jun Tang, Jun Liu, Huiliang CaoAbstract:The traditional processing model of the temperature error for a gyroscope is serial, meaning that de-noising and temperature drift compensation are implemented in a two-step procedure. Hence, the result of the latter depends on the performance of the former; in particular, negative de-noising produces a negative compensation result. To reduce this dependence, we propose a parallel processing algorithm of the temperature error based on variational mode decomposition (VMD) and an augmented nonlinear differentiator (AND). An application to a Micro-Electro-Mechanical System gyroscope is described to demonstrate the effectiveness and applicability of the proposed algorithm. Its major advantages are (i) a combination of VMD, extreme learning machines, and AND is proposed, and an adaptive accelerometer factor determination method for AND is given based on the VMD, both of which improve the effectiveness of the de-noising process; (ii) temperature drift and noise in the temperature error can be extracted and processed synchronously, thereby reducing the dependency of drift compensation on the de-noising result and making the temperature error process more efficient.
Chunxin Xu - One of the best experts on this subject based on the ideXlab platform.
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the structure measurement of micro electro mechanical System devices by the optical feedback tomography technology
Applied Physics Letters, 2013Co-Authors: Chunxin Xu, Yidong Tan, Shulian Zhang, Shijie ZhaoAbstract:We describe a potential way to obtain the images of the surface and internal structure of Micro-Electro-Mechanical System devices by optical feedback tomography technology. By using different materials and various structures of micro devices as the samples, this approach is proved to be able to measure the geometric structure of the micro device, including the internal structure, which makes it possible to detect whether the micro-device tested meets its fabrication requirements.