In a democratic society, public legal awareness is crucial for empowering citizens with knowledge of their rights and obligations. However, the vast complexity and volume of legal information can make it difficult for...
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In this work, we present a method for MultiObject Tracking (MOT) that uses unsynchronized multimodal detections from a configurable set of sensors such as cameras, radars and lidars. All the information is processed f...
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ISBN:
(纸本)9798350342291
In this work, we present a method for MultiObject Tracking (MOT) that uses unsynchronized multimodal detections from a configurable set of sensors such as cameras, radars and lidars. All the information is processed from the sensors with modality-specific detectors and then combined in the MOT module that incorporates a Kalman filter and tracklet management logic. To be able to deploy our system in real-world driving applications, we handle localization errors, misclassifications and partial bounding-box detections from the object detector in the MOT module. We show promising results and compare them with respect to competing approaches in two challenging real-world scenarios, including a traffic jam chauffeur as well as a traffic monitoring application on highways.
The increasing demand for efficient and reliable gas sensors has propelled the exploration of novel materials and advanced simulation techniques. This study presents the design and development of a gas sensor that det...
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Currently, several studies are being developed using machine Learning with the aim of replacing real sensors with virtual sensors. One of the biggest challenges is obtaining quality data to enable the system modeling....
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ISBN:
(纸本)9798331531768;9798331531751
Currently, several studies are being developed using machine Learning with the aim of replacing real sensors with virtual sensors. One of the biggest challenges is obtaining quality data to enable the system modeling. This article proposes the replacement of a light dependent resistor sensor, applied to a refrigerator, which detects whether the door is open or closed and an anomaly test when the door is forgotten open for too long. The use of tiny machine learning is applied to ESP32 to enable the use of regression and classification models to detect the door opening and anomaly. The tested metrics for the regression were the root mean squared error. The comparative results between the virtual and real sensors are satisfactory with an accuracy of 99.59% for classification and a root mean squared error value of 0.01 for regression. Furthermore, a prototype was developed, and the model was embedded in the ESP32 microcontroller.
This paper presents the design of a Radio Frequency IDentification antenna (RFID Antenna) in Super-High-Frequency band (SHF Band) radiated at the resonant frequency of 2.45 GHz, simulated with CST Studio electromagnet...
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ISBN:
(纸本)9798350384901;9798350384895
This paper presents the design of a Radio Frequency IDentification antenna (RFID Antenna) in Super-High-Frequency band (SHF Band) radiated at the resonant frequency of 2.45 GHz, simulated with CST Studio electromagnetic simulation software. The patch antenna is a perfect electrical conductor, excited by a coaxial cable with a 50 Ohms impedance. The antenna is designed as a rectangular patch with a U-shaped slot of 35.5x26 mm(2) placed on a Rogers RO4350B substrate, dimension 71x47 mm(2). The antenna has a perfect adaptation and covers a frequency band of 2393.0-2569.5 MHz with a bandwidth of 176.5 MHz. Therefore, this bandwidth is sufficient for industrial applications that use wireless sensor networks for monitoring parameters like: temperature, humidity, and pressure.
Accurate characterisation of magnetic sensors is required across a range of industrial applications. The National Physical Laboratory (NPL), as the UK's National Metrology Institute (NMI), maintains and disseminat...
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ISBN:
(纸本)9798350362213;9798350362220
Accurate characterisation of magnetic sensors is required across a range of industrial applications. The National Physical Laboratory (NPL), as the UK's National Metrology Institute (NMI), maintains and disseminates measurement standards, with traceability to SI units, that provides characterisation of advanced magnetic sensors from nT-level to several T. Space missions can benefit from the increasing sensitivity and accuracy of magnetic sensors. To calibrate such sensors, a low magnetic noise environment and traceable measurement systems must be established. Both spacecraft design and in-flight operation must rigorously incorporate magnetic cleanliness and compensate for field fluctuations. To reduce measurement uncertainties and dependent sensor error budgets, a greater understanding of the magnetic environment becomes crucial. This presentation will describe the development of traceable measurements systems at NPL that enable the characterisation of these sensors at the nT level for space applications. These systems allow key parameters, such as gain, linearity, offset and noise to be determined, with specific attention given to the measurement of the temperature dependance of these key parameters, and recent developments for the orthogonality of small magnetometers in a fast and cost-efficient way.
Lifelong development allows animals and machines to adapt to changes in the environment as well as in their own systems, such as wear and tear in sensors and actuators. An important use case of such adaptation is indu...
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ISBN:
(纸本)9798350348569;9798350348552
Lifelong development allows animals and machines to adapt to changes in the environment as well as in their own systems, such as wear and tear in sensors and actuators. An important use case of such adaptation is industrial odor-sensing. Metal-oxide-based sensors can be used to detect gaseous compounds in the air;however, the gases interact with the sensors, causing their responses to change over time in a process called sensor drift. sensor drift is irreversible and requires frequent recalibration with additional data. This paper demonstrates that an adaptive system that represents the drift as context for the skill of odor sensing achieves the same goal automatically. After it is trained on the history of changes, a neural network predicts future contexts, allowing the context+skill sensing system to adapt to sensor drift. Evaluated on an industrial dataset of gas-sensor drift, the approach performed better than standard drift-naive and ensembling methods. In this way, the context+skill system emulates the natural ability of animal olfaction systems to adapt to a changing world, and demonstrates how it can be effective in real-world applications.
The rapid growth of urbanization has led to an increasing need for efficient energy management systems to optimize energy consumption and reduce environmental impacts. Wireless sensor technology emerges as a pivotal s...
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Reliable sensors functioning is important for safe and efficient operation of a nuclear system. Accurate detection and classification of sensor anomalies are crucial for efficient maintenance and prevention of reactor...
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This paper reports a wearable piezoelectric pressure MEMS sensor array for multi-site conformal sensing of pulse waves. Thinned bulk lead zirconate titanate (PZT) piezoceramic films with high performance are embedded ...
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ISBN:
(纸本)9798350357929
This paper reports a wearable piezoelectric pressure MEMS sensor array for multi-site conformal sensing of pulse waves. Thinned bulk lead zirconate titanate (PZT) piezoceramic films with high performance are embedded into soft materials, allowing optimal deformability and conformality. Specifically, a spin-on polymeric adhesive is adopted to transfer uniform PZT film during bonding and releasing processes. As a result, the device of single element exhibits high sensitivity with 47.45 mV/N. Furthermore, it can capture a weak pulse with the spatial and temporal distribution without cross talk among channels, which has great potential applications in the diagnosis of cardiovascular disease.
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