scholarly journals Improving GNSS Landslide Monitoring with the Use of Low-Cost MEMS Accelerometers

2019 ◽  
Vol 9 (23) ◽  
pp. 5075 ◽  
Author(s):  
Alberto Cina ◽  
Ambrogio Maria Manzino ◽  
Iosif Horea Bendea

Observation and monitoring of landslides and infrastructure is a very important basis for land planning, human activities, and safety. Geomatic techniques for deformation monitoring have usually involved GNSS and total station measurements or, more generally, expensive geodetic instruments, but other techniques, such as SAR (Synthetic Aperture Radar), can be efficiently applied. Using low-cost sensors could be an interesting alternative solution if the accuracy requirements can be satisfied. This paper shows the results obtained for tilt measurements using MEMS accelerometers, which were combined with mass-market GNSS sensors for monitoring five sites located on landslides. The use of a MEMS-like inclinometer requires an important calibration process to remove bias and improve the solution’s accuracy. In this paper, we explain the MEMS calibration procedure employed, with a simple and cheap solution. The results indicate that with a simple calibration, it is possible to improve measurement accuracy by one order of magnitude, reaching an angular accuracy of a few hundredths of a degree, verified by an independent technique.

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6454
Author(s):  
Jesús A. García ◽  
Evangelina Lara ◽  
Leocundo Aguilar

A ubiquitous sensor in embedded systems is the accelerometer, as it enables a range of applications. However, accelerometers experience nonlinearities in their outputs caused by error terms and axes misalignment. These errors are a major concern because, in applications such as navigations systems, they accumulate over time, degrading the position accuracy. Through a calibration procedure, the errors can be modeled and compensated. Many methods have been proposed; however, they require sophisticated equipment available only in laboratories, which makes them complex and expensive. In this article, a simple, practical, and low-cost calibration method is proposed. It uses a 3D printed polyhedron, benefiting from the popularisation and low-cost of 3D printing in the present day. Additionally, each polyhedron could hold as much as 14 sensors, which can be calibrated simultaneously. The method was performed with a low-cost sensor and it significantly reduced the root-mean-square error (RMSE) of the sensor output. The RMSE was compared with the reported in similar proposals, and our method resulted in higher performance. The proposal enables accelerometer calibration at low-cost, and anywhere and anytime, not only by experts in laboratories. Compensating the sensor’s inherent errors thus increases the accuracy of its output.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Peng Yin ◽  
Wen-Hao Zhang ◽  
Liang Xu ◽  
Ze-Gang Liu ◽  
Wei-Feng Zhuang ◽  
...  

AbstractIn optical metrological protocols to measure physical quantities, it is, in principle, always beneficial to increase photon number n to improve measurement precision. However, practical constraints prevent the arbitrary increase of n due to the imperfections of a practical detector, especially when the detector response is dominated by the saturation effect. In this work, we show that a modified weak measurement protocol, namely, biased weak measurement significantly improves the precision of optical metrology in the presence of saturation effect. This method detects an ultra-small fraction of photons while maintains a considerable amount of metrological information. The biased pre-coupling leads to an additional reduction of photons in the post-selection and generates an extinction point in the spectrum distribution, which is extremely sensitive to the estimated parameter and difficult to be saturated. Therefore, the Fisher information can be persistently enhanced by increasing the photon number. In our magnetic-sensing experiment, biased weak measurement achieves precision approximately one order of magnitude better than those of previously used methods. The proposed method can be applied in various optical measurement schemes to remarkably mitigate the detector saturation effect with low-cost apparatuses.


2014 ◽  
Vol 71 (4) ◽  
Author(s):  
E.E. Eyo ◽  
T. A. Musa ◽  
K. M. Omar ◽  
K. M. Idris ◽  
T. Bayrak ◽  
...  

The main goal of our ongoing research is to design a low-cost continuous monitoring system for landslide investigation using the Reverse RTK (RRTK) technique. The main objectives of this paper are to review the existing Global Positioning System (GPS) tools and techniques used for landslide monitoring, and to propose a novel low-cost landslide monitoring technique using Reverse RTK GPS. A general overview of GPS application in landslide monitoring is presented, followed by a review of GPS deformation monitoring systems and some of the factors used for their categorization. Finally, the concept, principles and advantages of the proposed new landslide monitoring system are discussed.


Author(s):  
Xinyi Li ◽  
Liqiong Chang ◽  
Fangfang Song ◽  
Ju Wang ◽  
Xiaojiang Chen ◽  
...  

This paper focuses on a fundamental question in Wi-Fi-based gesture recognition: "Can we use the knowledge learned from some users to perform gesture recognition for others?". This problem is also known as cross-target recognition. It arises in many practical deployments of Wi-Fi-based gesture recognition where it is prohibitively expensive to collect training data from every single user. We present CrossGR, a low-cost cross-target gesture recognition system. As a departure from existing approaches, CrossGR does not require prior knowledge (such as who is currently performing a gesture) of the target user. Instead, CrossGR employs a deep neural network to extract user-agnostic but gesture-related Wi-Fi signal characteristics to perform gesture recognition. To provide sufficient training data to build an effective deep learning model, CrossGR employs a generative adversarial network to automatically generate many synthetic training data from a small set of real-world examples collected from a small number of users. Such a strategy allows CrossGR to minimize the user involvement and the associated cost in collecting training examples for building an accurate gesture recognition system. We evaluate CrossGR by applying it to perform gesture recognition across 10 users and 15 gestures. Experimental results show that CrossGR achieves an accuracy of over 82.6% (up to 99.75%). We demonstrate that CrossGR delivers comparable recognition accuracy, but uses an order of magnitude less training samples collected from the end-users when compared to state-of-the-art recognition systems.


2002 ◽  
Vol 115 (1-2) ◽  
pp. 139-151 ◽  
Author(s):  
Volker Janssen ◽  
Craig Roberts ◽  
Chris Rizos ◽  
Hasanuddin Z Abidin

Sensors ◽  
2016 ◽  
Vol 16 (10) ◽  
pp. 1750 ◽  
Author(s):  
Daniele Giordan ◽  
Paolo Allasia ◽  
Niccolò Dematteis ◽  
Federico Dell’Anese ◽  
Marco Vagliasindi ◽  
...  

Procedia CIRP ◽  
2021 ◽  
Vol 104 ◽  
pp. 1389-1394
Author(s):  
Agusmian Partogi Ompusunggu ◽  
Kerem Eryılmaz ◽  
Karel Janssen

2021 ◽  
Vol 11 (22) ◽  
pp. 10955
Author(s):  
Kazuhiko Kurata ◽  
Luca Giorgi ◽  
Fabio Cavaliere ◽  
Liam O’Faolain ◽  
Sebastian A. Schulz ◽  
...  

Here, we report on the design and performance of a silicon photonic micro-transceiver required to operate in 5G and 6G environments at high ambient temperatures above 105 °C. The four-channel “IOCore” micro-transceiver incorporates a 1310 nm quantum dot laser system and operates at a data rate of 25 Gbps and higher. The 5 × 5 mm micro-transceiver chip benefits from a multimode coupling interface for low-cost assembly and robust connectivity at high temperatures as well as an optical redundancy scheme, which increases reliability by over an order of magnitude.


RSBO ◽  
2018 ◽  
Vol 1 (3) ◽  
pp. 186
Author(s):  
Katiane Vieira Menezes Leite ◽  
Patrícia Oliveira de Souza ◽  
Jussania Fonseca da Paz ◽  
Ana Beatriz Franco Fernandes ◽  
Leonardo Fernandes da Cunha ◽  
...  

Introduction: The gingival melanin hyperpigmentation (GMH) is resulted from an abnormal deposition of melanin, but it is not a pathology. However, GMH is an esthetic problem for some people. Some alternatives of treatment for this situation exist. The epithelial abrasion has been an interesting alternative because it has a satisfactory esthetic outcome, is a fast procedure, of easy execution, and low cost. Recently, tips adapted in ultrasound (CVDentus) can bean alternative approach. Objective: To report a clinical case of GMH treated by the technique of the epithelial abrasion with association of instrument adapted in ultrasound. Case report: Patient aged 28 years, melanoderm, sought treatment due to esthetic dissatisfaction because of intense dark color in the maxillary gingiva. The GMH removal was proposed through the technique of the epithelialabrasion CVD bur. Conclusion: The technique of epithelial abrasion using CVD bur was effective in removing GMH at one-year follow-up showing to be easy and safe technique.


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