The proliferation of IoT-enabled wireless sensor networks (WSNs) has ushered in a multitude of applications but has also heightened concerns regarding data integrity and security. This underscores the critical necessi...
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This research proposes the development of a robotic neck with three degrees of freedom (3-DOF) that mimics human upper neck movements. The controlsystem utilizes an MPU6050 IMU-based controller attached to the robot&...
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The automotive advanced driver assistance systems (ADAS) are increasingly sophisticated due to the rapid advancement of intelligent connected vehicle technology. Consequently, higher demands are placed on both hardwar...
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This research presents the development of a sensor fusion-based driver assistance system (DAS) aimed at enhancing the safety of heavy vehicle operators. The system integrates an alcohol sensor, an ADXL 335 acceleromet...
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ISBN:
(数字)9798331510022
ISBN:
(纸本)9798331510039
This research presents the development of a sensor fusion-based driver assistance system (DAS) aimed at enhancing the safety of heavy vehicle operators. The system integrates an alcohol sensor, an ADXL 335 accelerometer sensor, and an eye blink detection sensor with an Arduino platform for real-time monitoring of driver behaviour. LabVIEW software was employed for data processing and visualization, providing a user-friendly interface to track driver alertness, speed, and alcohol consumption. A classification algorithm was implemented to categorize the driver's condition into various risk levels based on sensor inputs. Alerts were generated in real-time to notify the driver of potential hazards, such as drowsiness, intoxication, or speeding. Experimental trials demonstrated the system's effectiveness in accurately detecting dangerous driving behaviours and issuing timely warnings. The use of sensor fusion enhanced data reliability by cross-verifying multiple inputs, reducing false positives. The system proved to be robust and practical for implementation in heavy vehicle operations, contributing to road safety. Future enhancements may include additional physiological sensors, integration with vehicle controlsystems, and the practise of machine learning (ML) algorithms to improve classification accuracy. This research highlights the potential of sensor fusion technology in the development of advanced DAS, particularly in the transportation sector.
Attitude determination is an important part of microsatellite attitude controlsystem. Its determination accuracy directly affects microsatellite's attitude control performance. Hence, a novel attitude determinati...
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ISBN:
(纸本)9783030945510;9783030945503
Attitude determination is an important part of microsatellite attitude controlsystem. Its determination accuracy directly affects microsatellite's attitude control performance. Hence, a novel attitude determination approach is presented in this work for microsatellites with star sensor and gyros fixed. The factor graph representing the probabilistic graphical model as a bipartite graph is applied to solve the attitude estimation problem. This allows multi-rate, asynchronous, and possible delayed measurements to be incorporated in a natural way. An incremental smoothing algorithm is then proposed to achieve optimal estimation. Simulation results are finally presented to verify that the proposed approach can significantly improve the attitude determination accuracy.
Different articles have published serial communication characteristics measurements for real-time controlsystem (RCS). However, most of them focused on latency time measurements. Articles addressing a specific case w...
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ISBN:
(数字)9781665454124
ISBN:
(纸本)9781665454124
Different articles have published serial communication characteristics measurements for real-time controlsystem (RCS). However, most of them focused on latency time measurements. Articles addressing a specific case with a combination of non-deterministic time elements such as rotary encoder (RE) and serial peripheral interface (SPI) are limited. This paper proposed a method to cope with a non-deterministic time due to the RE pulse timing by using a separate processor to handle pulse signals from the RE and time delay measurements of the SPI signal. It investigated the consumption time of each process, i.e., reading sensor signal, calculating control command, and sending control command. We used a microcontroller instead of a personal or industrial computer since the controlsystem will be embedded in an electric vehicle (EV) for drive-by-wire (DbW) function. We obtained the experimental results of 4.42 mu s and 6 mu s for reading the sensor signal and sending the control command, respectively. The microcontroller required 1.2 mu s to complete a simple control command calculation. The approach presented in this paper can generally be used for sampling time value determination in designing a RCS using the RE as sensor and SPI for sending the control command signals to the actuators. We obtained the appropriate sampling time value of 25 ms. It will be used for designing a feedback controller.
This paper presents a voice-controlled and low-cost design of a practical smart house system (SHS). The proposed system uses to remotely control all digital devices using voice commands, and gives safety by identifyin...
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Exoplanet direct imaging using adaptive optics (AO) is often limited by non-common path aberrations (NCPAs) and aberrations that are invisible to traditional pupil-plane wavefront sensors (WFSs). This can be remedied ...
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ISBN:
(纸本)9781510675186;9781510675179
Exoplanet direct imaging using adaptive optics (AO) is often limited by non-common path aberrations (NCPAs) and aberrations that are invisible to traditional pupil-plane wavefront sensors (WFSs). This can be remedied by focal-plane (FP) WFSs that characterize aberrations directly from a final science image. Photonic lanterns (PLs) can act as low-order FPWFSs with the ability to direct some light to downstream science instruments. Using a PL on the SEAL (Santa Cruz Extreme AO Laboratory) high-contrast imaging testbed, we demonstrate (1) linear ranges and (2) closed-loop control. Additionally, we simulate the use of the PL in a multi-wavefront sensor AO system, in which multiple WFSs feed back to the same common-path deformable mirror. Building on previous multi-WFS AO demonstrations on SEAL, we simulate a modulated pyramid WFS to sense aberrations of high spatial order and large amplitude, and the PL to sense low order aberrations including NCPAs. We assess adaptive optics performance in this setting using three different PL wavefront reconstruction algorithms. We also provide a new method to experimentally identify the propagation matrix of a PL, making advanced model-based algorithms practical. This work demonstrates the role of photonic technologies and multi-stage wavefront sensing in the context of extreme AO and high contrast imaging.
As environmental concerns and fire hazards continue to grow, there is an increasing demand for automated systems that can monitor and mitigate these risks in real time. This paper presents the design and implementatio...
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One of the crucial processes in the food manufacturing industry is monitoring and measuring the raw products stored in large storage structures, typically called Silos. These procedures are pivotal in dictating the in...
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