welding seam recognition is key issue of intelligent welding. Aiming at such requirement, we provide a method to build a compact seam identification system, which is based on laser profile sensor. A cross slide driven...
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The traditional method of water quality monitoring is time-consuming and expensive because it involves collecting water samples from various locations, transporting them to a laboratory, and analysing the samples. To ...
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ISBN:
(纸本)9798350372113;9798350372106
The traditional method of water quality monitoring is time-consuming and expensive because it involves collecting water samples from various locations, transporting them to a laboratory, and analysing the samples. To address these limitations, a new system was proposed that used a LoRa (Long Range) sensor node to collect real-time water quality data. The data was then routed to a remote server via a LoRa Gateway. The remote server was built on a Raspberry Pi, and the user interface was designed with Grafana software. The system was capable of measuring pH (potential hydrogen), temperature, and total dissolved substance (TDS) and recording the data in a database that can be accessed via the internet. The system can last up to 3 to 5 days with the backup battery supplies. From our study, it is found that the developed system provides a dependable, real-time solution for water quality monitoring that can be employed in remote places and removes the requirement for manual water sample collecting and laboratory analysis.
Multicore PC-class embedded systems present an opportunity to consolidate separate microcontrollers as software-defined functions. For instance, an automotive system with more than 100 electronic control units (ECUs) ...
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Multicore PC-class embedded systems present an opportunity to consolidate separate microcontrollers as software-defined functions. For instance, an automotive system with more than 100 electronic control units (ECUs) could be replaced with one or, at most, several multicore PCs running software tasks for chassis, body, powertrain, infotainment, and advanced driver assistance system (ADAS) services. However, a key challenge is how to handle real-time device input and output (I/O) and host-level networking as part of sensor data processing and control. A traditional microcontroller would commonly feature one or more controller Area Network (CAN) buses for real-time I/O. CAN buses are usually absent in PCs, which instead feature higher bandwidth Universal Serial Bus (USB) interfaces. This article shows how to achieve real-time device I/O and host-to-host communication over USB, using suitably written device drivers and a time-aware POSIX-like "tuned pipe" abstraction. This allows developers to establish task pipelines spanning one or more hosts, with end-to-end latency and throughput guarantees for sensor data processing, control, and actuation.
This paper presents a novel method to control an industrial robotic arm using multiple sensors. This system consists of a hybrid brain activity and vision sensors that convey a human being's intention and visual p...
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ISBN:
(纸本)9798350367638;9798350367621
This paper presents a novel method to control an industrial robotic arm using multiple sensors. This system consists of a hybrid brain activity and vision sensors that convey a human being's intention and visual perception. We fuse and analyze the data from those sensors using a machine learning-based approach to automatically guide the manipulator to a designated location. We believe that this Brain-Machine-interface (BMI) can greatly alleviate the burdensome traditional method used to program a robot (greatly aids the end-user). We explore various machine learning and pattern recognition techniques as well as existing feature selection methods. Our experimental results show that the subject can control the robot to a destination of interest using a machine-robot-interface. We attain accuracy in the order of 99.4% when it comes to the desired motion and 100% for the case of deducing the desired characteristic (color) of the targeted object. In this work, we implemented and demoed our approach using a simple pick-and-place test case, a foundation for an underlying system that can be used to benefit people with restricted abilities and allow them to perform complex and robotics-related duties in an industrial setting.
The advancedsensor-Driven Drowning Prevention and Rescue system is an innovative technology designed to enhance water safety through real-time monitoring and rapid response capabilities. Utilizing a network of sensor...
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An automated shower system is essential to design for public facilities, to address the concerns about excessive water consumption and accessibility for individuals with physical disabilities. The proposed system util...
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ISBN:
(纸本)9798350386356;9798350386349
An automated shower system is essential to design for public facilities, to address the concerns about excessive water consumption and accessibility for individuals with physical disabilities. The proposed system utilizes advanced voice recognition technology to enable easy control of water temperature and showerhead positioning, promoting water conservation, safety, and convenience. Existing manual systems face challenges in setting desired parameters for disabled users, whereas the proposed system becomes a solution that eliminates manual adjustments through seamless voice commands. Key features include adjustable settings, automatic regulation and emergency shut-off for enhanced safety.
Soft landing on weightless asteroids is challenging in space exploration missions. This paper proposes a cable-driven landing gear system (LGS) with rigid-flexible coupled structures (RFCSs) for the soft landing of a ...
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ISBN:
(纸本)9798350355376;9798350355369
Soft landing on weightless asteroids is challenging in space exploration missions. This paper proposes a cable-driven landing gear system (LGS) with rigid-flexible coupled structures (RFCSs) for the soft landing of a spacecraft on asteroids. The cable-driven mechanism improves the compliance of the spacecraft's landing legs and has the merits of being lightweight and compact. The RFCS minimizes the impact force of the landing legs when crashing the asteroid's surface. We designed a three-legged LGS and formulated its kinematics and dynamics. We conducted simulations and experiments of a simplified spacecraft prototype. The results showed that the spacecraft can safely land on rough slopes, with the legs contacting the ground at different sequences. The collision speeds of 10-50 cm/s are verified. This study provides a new idea for the landing and operation of these cable-driven RFCS probes in a weightless environment. The results are valuable for the design of asteroid landers and their stabilizing control.
A batteryless electrochemical sensing system IC for miniaturized wearable sensor nodes is presented. A batterypowered hub node transmits the power and control signal required for the operation of sensor nodes through ...
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ISBN:
(纸本)9781665451093
A batteryless electrochemical sensing system IC for miniaturized wearable sensor nodes is presented. A batterypowered hub node transmits the power and control signal required for the operation of sensor nodes through a human body. The sensor data acquired by sensor nodes are transmitted to the hub node, again through a body channel, using frequency modulation (FM). The intra-body power and data transfer leads to batteryless sensor node operation, and the direct-FM-based sensorinterface using a current-controlled oscillator (26.8 and 44.9 kHz/mu A) simplifies sensor node hardware, which enables miniaturized wearable sensor nodes. By adding a proper multiplexing scheme among sensor nodes, the proposed system can be extended to a further advancedsystem consisting of distributed wearable sensor nodes.
This paper deals with the design of a new haptic interface to drive a wheelchair locomotion simulator in real-time. The proposed haptic interface considers a reference model of a manual wheelchair (MWC) with a coupled...
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ISBN:
(纸本)9781665476331
This paper deals with the design of a new haptic interface to drive a wheelchair locomotion simulator in real-time. The proposed haptic interface considers a reference model of a manual wheelchair (MWC) with a coupled straight line, turn and slope/cross-slope dynamics. This model allows both to reproduce the wheel-ground contact resistances in real-time and to estimate the kinematic motion states of the wheelchair. Then the theoretical concept of the model predictive control (MPC) scheme for linear time-varying (LTV) systems is exploited for the design of the haptic controller in order to handle the reference tracking problem. This controller is based on an LTV model of the MWC system coupled with the ergometer rollers of the simulator using an online identification of its dynamics. This formulation allows us to deal with nonlinearities and variations of the contact friction between the MWC wheels and the simulator rollers. The stability of the simulator haptic interface is demonstrated using the Lyapunov stability tools. Finally, the performance and effectiveness of the proposed haptic interface are evaluated by experimental tests on the PSCHITT-PMR simulator platform using standardized locomotion scenarios.
This paper introduces a low-cost assistive device to improve the quality of life of individuals with Motor Neuron Disease (MND) using a Brain-Computer interface (BCI). The proposed device allows MND patients to commun...
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ISBN:
(纸本)9798350369458;9798350369441
This paper introduces a low-cost assistive device to improve the quality of life of individuals with Motor Neuron Disease (MND) using a Brain-Computer interface (BCI). The proposed device allows MND patients to communicate with their environment and execute instructions using a Graphical User interface (GUI) that translates Electroencephalogram (EEG) signals into computer input. The GUI presents a cube as a visual cue and a set of instructions or operations, enabling the user to control different Internet of Things (IoT) devices. The user may toggle through the instructions by thinking of pulling the cube and may select an instruction by thinking of making the cube disappear. To adapt the system to a real-world scenario, we use a type of transfer learning called domain adaptation. We further investigate by generating four real-world datasets and using five different machine learning schemes, including four domain adaptation strategies. Our experiments show that four out of five learning strategies perform satisfactorily.
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