A RISC-V based SoC (system on chip) with a configurable crankshaft position sensor (CPK) interface for an engine control unit (ECU) on a motorcycle is presented. The proposed SoC is the first SoC with RISC-V core for ...
A RISC-V based SoC (system on chip) with a configurable crankshaft position sensor (CPK) interface for an engine control unit (ECU) on a motorcycle is presented. The proposed SoC is the first SoC with RISC-V core for a motorcycle ECU, integrating a dedicated configurable engine crank position sensorinterface to facilitate accurate and low-latency fuel injection and ignition control for the internal combustion engine on a motorcycle, while greatly reducing the computational capability demand for the MCU inside the ECU.
When attempting to meticulously conduct fault detection and isolation, inferential sensing approaches can prove to be valuable tools, as they constitute cost-effective and reliable alternatives to expensive and often ...
详细信息
ISBN:
(纸本)9781665431590
When attempting to meticulously conduct fault detection and isolation, inferential sensing approaches can prove to be valuable tools, as they constitute cost-effective and reliable alternatives to expensive and often impractical measuring devices. In this work, we combine advanced model-based sensor selection and inferential sensing techniques to yield accurate fault detection outcomes, in the presence of system noise and uncertainty. In this regard, the most informative sensor set is chosen, by comparing all possible sensor combinations, based on various optimality criteria that extract the maximum knowledge from the system in functions of the Fisher Information Matrix. Subsequently, optimal inferential sensors are derived, by means of genetic and mathematical programming that incorporate symbolic regression and optimization techniques. For builtin test deployment, k-Nearest Neighbors (k-NN) classification is employed to assess the accuracy of each sensor network, as well as the performance enhancement due to the inclusion of inferential sensor(s). The proposed methods are applied in steady state and dynamic models of a cross-flow plate-fin heat exchanger system for various levels of measurement noise and uncertainty. The results illustrate that the augmented system of composite sensors (i.e., inferential and hardware) provide more accurate information on system fault(s), while reducing the evidence of uncertainty and system noise.
Telemonitoring, telemedicine, and telerehabilitation are becoming essential technologies for improving health-care. Particularly useful for assessing the physical and cognitive status of frail individuals, telemonitor...
详细信息
ISBN:
(数字)9788993215380
ISBN:
(纸本)9798331517939
Telemonitoring, telemedicine, and telerehabilitation are becoming essential technologies for improving health-care. Particularly useful for assessing the physical and cognitive status of frail individuals, telemonitoring has applications in elder care and neurodegenerative disease management. This study presents a smart room prototype for medium to long-term telemonitoring of frail subjects. The system captures real-time video/data from various sources, processes it with advanced AI, and displays the results for real-time viewing and control. Its modular architecture includes components like pressure floors and sensorized mattresses, integrated via a web-based interface. The system effectively evaluates subject interactions in the sensorized environment, with real-time Mobility and Sleep Indexes to track activities.
Simultaneous recordings of neural activity at massive scope, in the long term, and under bio-safety conditions, could provide crucial information, which helps in better understanding the operation mechanism of the bra...
详细信息
ISBN:
(数字)9798350371499
ISBN:
(纸本)9798350371505
Simultaneous recordings of neural activity at massive scope, in the long term, and under bio-safety conditions, could provide crucial information, which helps in better understanding the operation mechanism of the brain and promotes the clinical application evolution for the brain-computer interface. For this purpose, a multi-channel neural signal recording system is presented, which can record up to 2048-channel neural signals by multiple connections of a customized collection system. The system consists of a sensor array module, a central controller module, and an upper computer module. Using the modular design method, the sensor array module can be contrived by changing the number of channels. The single-channel data acquisition module has a sampling resolution of 16 bits, and a sampling rate of 30 KSamples/s. The central controller module can establish a connection between the sensor array module and the upper computer module, and control their operations. The upper computer module can display the data results. The system verifies the performance of the multi-channel data acquisition through the analog neural signal.
This is an innovative automatic fish feeder that combines the usage of solar power tracking and internet of factors (IOT) era to enhance the performance and effectiveness of feeding fish in aquaculture systems. Most o...
详细信息
The day-to-day operations are associated with gardening or farming. During farming and gardening, the fundamental practice was the watering of plants. Irrespective of the weather conditions, the principal theme of thi...
详细信息
The proceedings contain 44 papers. The special focus in this conference is on Computing and Network Communications. The topics include: Maximizing Efficiency: Unveiling the Potential of Kubernetes Metrics;re...
ISBN:
(纸本)9789819747108
The proceedings contain 44 papers. The special focus in this conference is on Computing and Network Communications. The topics include: Maximizing Efficiency: Unveiling the Potential of Kubernetes Metrics;resource-Aware Learning Automata for Low-Latency Task Scheduling in Fog Computing;Design of High Gain Wideband Petal-Shaped Magneto-Electric Dipole Metal Antenna for 5G Sub-6 GHz and Wi-Fi Applications;A Novel Billhook-Shaped 2-Element MIMO Array for Sub-6 GHz Millimeter Wave Application;energy-Efficient Transmission in Wireless sensor Network Using Compressive Sensing;smart City Solutions for Traffic Management;an IoT-Assisted Real-Time Urban Air Pollution Data Collection system;real-Time Stock Price Prediction Using Apache Kafka;RSS-Based Localization Using GRU and BiGRU Deep Learning Models in LoRaWAN-IoT Networks;locating and Routing for IoT-Based Fire Evacuation system;an Energy-Efficient Data Management Approach Using Sparse Compression in Future-Ready IoT Networks;a Framework for Developing IoT and Edge Computing-Based Smart Transportation Applications;a Mathematical Model for Data Traffic Management in Next-Generation IoT Networks;crowdsourced Mobile Applications for Disaster Relief: A Case Study of Landslide Tracker and Amrita Kripa App Deployments in Sikkim Schools;design and Modeling of Modular Wheelchair for Therapeutic Exercises;analyzing Data Traffic in IoT Networks: A Novel Graph-Based Architecture;A Lightweight Privacy-Preserving and Authentication Model (LiPAM-FSG) for Fog-Based Smart Grids;time Series Analysis and Rule Mining for Detecting Industrial controlsystem Data Injection Attacks;Radius-Based Authentication: UFrames’ Novel Approach to Prevent Account Sharing;deep Neural Network-Based Secure Energy-Efficient Power Allocation in an Interference Network;An Adaptive Time Quantum-Based Efficient Round-Robin Algorithm for CPU Scheduling;low-Cost advanced Undetectable Hardware-Based Malicious Keyboard;constructing a Blind Digital Signature Scheme
The proceedings contain 44 papers. The special focus in this conference is on Computing and Network Communications. The topics include: Maximizing Efficiency: Unveiling the Potential of Kubernetes Metrics;re...
ISBN:
(纸本)9789819745395
The proceedings contain 44 papers. The special focus in this conference is on Computing and Network Communications. The topics include: Maximizing Efficiency: Unveiling the Potential of Kubernetes Metrics;resource-Aware Learning Automata for Low-Latency Task Scheduling in Fog Computing;Design of High Gain Wideband Petal-Shaped Magneto-Electric Dipole Metal Antenna for 5G Sub-6 GHz and Wi-Fi Applications;A Novel Billhook-Shaped 2-Element MIMO Array for Sub-6 GHz Millimeter Wave Application;energy-Efficient Transmission in Wireless sensor Network Using Compressive Sensing;smart City Solutions for Traffic Management;an IoT-Assisted Real-Time Urban Air Pollution Data Collection system;real-Time Stock Price Prediction Using Apache Kafka;RSS-Based Localization Using GRU and BiGRU Deep Learning Models in LoRaWAN-IoT Networks;locating and Routing for IoT-Based Fire Evacuation system;an Energy-Efficient Data Management Approach Using Sparse Compression in Future-Ready IoT Networks;a Framework for Developing IoT and Edge Computing-Based Smart Transportation Applications;a Mathematical Model for Data Traffic Management in Next-Generation IoT Networks;crowdsourced Mobile Applications for Disaster Relief: A Case Study of Landslide Tracker and Amrita Kripa App Deployments in Sikkim Schools;design and Modeling of Modular Wheelchair for Therapeutic Exercises;analyzing Data Traffic in IoT Networks: A Novel Graph-Based Architecture;A Lightweight Privacy-Preserving and Authentication Model (LiPAM-FSG) for Fog-Based Smart Grids;time Series Analysis and Rule Mining for Detecting Industrial controlsystem Data Injection Attacks;Radius-Based Authentication: UFrames’ Novel Approach to Prevent Account Sharing;deep Neural Network-Based Secure Energy-Efficient Power Allocation in an Interference Network;An Adaptive Time Quantum-Based Efficient Round-Robin Algorithm for CPU Scheduling;low-Cost advanced Undetectable Hardware-Based Malicious Keyboard;constructing a Blind Digital Signature Scheme
Parkinson's disease (PD) is a common disease with impaired motor skills, in which frozen gait is characterized by sudden onset, and clinical evaluation is difficult to some extent. To this end, we construct a mult...
详细信息
ISBN:
(纸本)9781665483605
Parkinson's disease (PD) is a common disease with impaired motor skills, in which frozen gait is characterized by sudden onset, and clinical evaluation is difficult to some extent. To this end, we construct a multi-node real-time monitoring wearable system of movement information for quantitative assessment of PD frozen symptoms. The system is composed of wearable devices, relay endpoint and supporting host computer. The wireless transmission network of multi-motion sensor node data is realized by using Wireless Fidelity (Wi-Fi) technology. Seven inertial sensors are worn on patients' upper limbs, lower limbs and waist respectively to realize synchronous acquisition of multi-position motion information under free movement condition. In addition, data processing algorithm is integrated on the nodes, which relieves burden of the relay endpoint, and provides an interface for online evaluation and closed-loop control of PD action block. The device has the characteristics of multi-information, micro-load and wide range of activity, and clinical tests show that it can effectively distinguish patients' daily exercise status. In so-doing, we lay the foundation for maximizing the interpretable information on gait analysis and for further research into the application of wearable technologies in PD management.
For ESA's EnVision Mission to Venus, a consortium of three spectrometers from across Europe has been formed to collaborate not only on the management and science aspects, but also on the technical implementation. ...
详细信息
ISBN:
(纸本)9781510679481;9781510679498
For ESA's EnVision Mission to Venus, a consortium of three spectrometers from across Europe has been formed to collaborate not only on the management and science aspects, but also on the technical implementation. One important technical goal of the VenSpec suite is to implement a clean, simple and robust interface to the spacecraft and to provide an abstraction layer between the channels and the spacecraft. This is achieved by implementing the Central control Unit (CCU), which provides a harmonized power and data interface to the spacecraft and allows the channels to design for a simple tailored internal interface to the CCU. The CCU consists of two electrical subsystems, the Data Handling Unit (CCU DHU), developed by the Max Planck Institute for Solar system Research (MPS) in Gottingen and the Institute of Computer and Network Engineering (IDA) in Braunschweig and the Power Supply Unit (CCU PSU), developed by the Instituto de Astrofisica de Andalucia (IAA-CSIC) in Granada, the system responsibility being at the DLR Institute of Planetary Research (DLR-PF) in Berlin. Within this framework, an extended electrical architecture trade-off was performed in 2023 to optimize the system, guaranteeing the requested functionality and complying to requirements from all sides. As a result of the trade-off. a single power and data interface were found to be the most suitable and robust solution considering performance, reliability, Fault Detection Isolation and Recovery (FDIR) and Electromagnetic Compatibility (EMC) considerations as well as the complexity of the associated verification campaign. This paper demonstrates the options that were suggested by the different parties and justifies the final architecture, which has been chosen to achieve the best solution for the VenSpec suite.
暂无评论