1,720,959 research outputs found
A New Technique on Vibration Optimization of Industrial Inclinometer for MEMS Accelerometer Without Sensor Fusion
Full text linkAccelerometer of the Microelectromechanical systems (MEMS) based inertial measurement units (IMUs) is key to inclination measurement in the industry 4.0. However, external vibration negatively impacts the precision of orientation angles during operation. Many inclinometer companies have demanded to develop a solution for vibration impact on accelerometer without other sensors' support because of economic problems. This article presents a new algorithm Orientation Axes Crossover Processing (OACP) on vibration optimization for MEMS accelerometer without sensor fusion. The proposed filter works on a principle based on the characteristics of vibration impact on whether the X-axis or Y-axis to optimally minimize the noise. A high accurate setup is built-up based on the Pan-Tilt Unit and a TUMAC vibrator for the verification of new filters, implemented into LSM9DS1 (3D accelerometer, 3D gyroscope). The new filter is able to work independently, and also fuse with the Low-pass filter or Kalman filter to enhance the dynamic response, only 0.163 seconds as maximum delay during vibration. The experimental results show that the proposed algorithm always accomplishes smaller variations than Low-pass filter, about 0.2 degrees in standard deviation. The compromise between vibration immunity and dynamic response is analyzed in detail to demonstrate the optimal performances of the concerned filters. The project was carried out at the 'Sensor System' in Italy which is an industrial company in the inclinometer field
Smart Drone Surveillance System Based on AI and on IoT Communication in Case of Intrusion and Fire Accident
No full textResearch on developing a smart security system is based on Artificial Intelligence with an unmanned aerial vehicle (UAV) to detect and monitor alert situations, such as fire accidents and theft/intruders in the building or factory, which is based on the Internet of Things (IoT) network. The system includes a Passive Pyroelectric Infrared Detector for human detection and an analog flame sensor to sense the appearance of the concerned objects and then transmit the signal to the workstation via Wi-Fi based on the microcontroller Espressif32 (Esp32). The computer vision models YOLOv8 (You Only Look Once version 8) and Cascade Classifier are trained and implemented into the workstation, which is able to identify people, some potentially dangerous objects, and fire. The drone is also controlled by three algorithms-distance maintenance, automatic yaw rotation, and potentially dangerous object avoidance-with the support of a proportional-integral-derivative (PID) controller. The Smart Drone Surveillance System has good commands for automatic tracking and streaming of the video of these specific circumstances and then transferring the data to the involved parties such as security or staff
Yaw/Heading optimization by drift elimination on MEMS gyroscope
No full textThe main goal of the paper is to achieve a highly accurate measurement of yaw/heading without the support of the Global Positioning System (GPS) and magnetometer by using a practical model based on the principle "No Motion No Integration" (NMNI). The proposed technique removes the drift significantly to optimize the Micro-Electro-Mechanical System (MEMS) gyroscope for the yaw/heading estimation. A "Renovating Model" is added to the NMNI algorithm as a real-time detector for sensor motion state. The 'NMNI' can work effectively with an independent gyroscope or collaborate with other MEMS sensors via fusion algorithms such as Madgwick, Mahony, and Kalman to overcome the limitations of the Global Positioning System (GPS) in the indoor environment. Moreover, the two other critical factors: slope and rotation speed, were examined on sensor behavior to thoroughly verify each filter's pros and cons. The experiments were carried out using a low-cost platform equipped with MEMS as gyroscope, accelerometer, and magnetometer. A Pan Tilt Unit-C46 (PTU-C46) with high accurate positioning was used as a reference angle for both static and dynamic experiments. The results show the considerable advancement of yaw estimation by implementing the NMNI model into the gyroscope thanks to the effective drift removal. Moreover, the fusions between NMNI filter with Mahony and Madgwick accomplish high yaw measurement performance when the sensor on the high slope without magnetometer.(c) 2021 Elsevier B.V. All rights reserved
An Effective Method on Vibration Immunity for Inclinometer based on MEMS Accelerometer
No full textInclinometer based on the Microelectromechanical systems (MEMS) accelerometer has been applied widely in the heavy industry. However, this sensor suffers a considerable impact from external vibration. A low pass filter and moving average filter are the two most popular techniques to minimize this noise problem, but they still require other sensors to enhance efficiency. The paper proposes a Vibration Immunity (VI) filter which includes characteristics from both filters to minimize the noise optimally. A robust testbench was constructed by the Pan-Tilt Unit and a TUMAC vibrator to verify the proposed filters, implemented into a MEMS accelerometer LSM9DS1. The experimental result shows significant improvement after using the VI technique, respecting the moving average filter in noise reduction and stability
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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