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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications VII"

共 4626 条记录，以下是131-140 订阅

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HotWire- Decreasing Latency Between Wake-Up Calls in Semi-Active WUR-Scenarios 12

HotWire- Decreasing Latency Between Wake-Up Calls in Semi-Ac...

引用

12th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems: Technology and applications, IDAACS 2023

作者： Ziesmann, Maurice-Christian Fuhner, Claus Busching, Felix Ostfalia - University of Applied Sciences Wolfenbüttel38302 Germany

ISBN: (纸本)9798350358056

Wireless sensor Networks using Wake-up Radios (WURs) in dense deployments benefit from addressing at WUR-level. Many semi-active WURs rely on a simple frontend that is able to wake-up the back-end circuits in a relatively short time. However, once woken-up the design of these frontends prevents a quick consecutive receiving of Wake-up Calls (WUCs). So, whenever a non-matching address is received by the address decoder, it takes quite a while until a new address can be decoded. In this paper, we demonstrate how a significant increase in WUC frequency can be achieved with relatively simple adaptations to the WUR front-end. The dimensioning of the individual components is also considered and derived. In the respective evaluation, we show that by means of our adaptation, consecutive WUCs can be handled approximately 1000 times faster than without this adaptation. © 2023 IEEE.

关键词： addressing internet of things latency wake-up calls wake-up radios wireless sensor networks

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Electronic Prognostics Innovations for applications to Aerospace systems

Electronic Prognostics Innovations for Applications to Aeros...

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IEEE Aerospace conference

作者： Gerdes, Matthew Gross, Kenny Wang, Guang Chao Oracle Corp Austin TX 78741 USA

ISBN: (纸本)9781665490320

Oracle has an anomaly detection solution for monitoring time-series telemetry signals for dense-sensor IoT prognostic applications. It integrates an advanced prognostic pattern recognition technique called Multivariate State Estimation Technique (MSET) for high-sensitivity prognostic fault monitoring applications in commercial nuclear power and aerospace applications. MSET has since been spun off and met with commercial success for prognostic Machine Learning (ML) applications in a broad range of safety critical applications, including NASA space shuttles, oil-and-gas asset prognostics, and commercial aviation streaming prognostics. MSET proves to possess significant advantages over conventional ML solutions including neural networks, autoassociative kernel regression, and support vector machines. The main advantages include earlier warning of incipient anomalies in complex time-series signatures, and much lower overhead compute cost due to the deterministic mathematical structure of MSET. Both are crucial for dense-sensor avionic IoT prognostics. In addition, Oracle has developed an extensive portfolio of data preprocessing innovations around MSET to solve the common big-data challenges that cause conventional ML algorithms to perform poorly regarding prognostic accuracy (i.e, false/missed alarm probabilities). Oracle's MSET-based prognostic solution helps increase avionic reliability margins and system availability objectives while reducing costly sources of "no fault found" events that have become a significant sparing-logistics issue for many industries including aerospace and avionics. Moreover, by utilizing and correlating information from all on-board telemetry sensors (e.g., distributed pressure, voltage, temperature, current, airflow and hydraulic flow), MSET is able to provide the best possible prediction of failure precursors and onset of small degradation for the electronic components used on aircrafts, benefiting the aviation Prognostics and Health Mana

关键词： NASA

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Enhanced In-Home Human Activity Recognition Using Multimodal Sensing and Spatiotemporal Machine Learning Architecture 46

Enhanced In-Home Human Activity Recognition Using Multimodal...

引用

46th Annual International conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Torabi, Seyyed Mahdi Narimani, Mohammad Park, Edward J. Simon Fraser University School of Mechatronic Systems Engineering SurreyBC Canada Simon Fraser University WearTech Labs SurreyBC Canada

ISBN: (纸本)9798350371499

In this research, we present an enhanced human activity recognition (HAR) framework using advanced machine learning models incorporating temporal dynamics, leveraging multimodal sensor data. Data from wearable wristbands and real-time location systems (RTLS) were used to detect human activities within a home environment. A key advancement is the development of a spatiotemporal machine learning model combining convolutional neural networks (CNN), bidirectional long short-term memory (BiLSTM), and neural structured learning (NSL), which significantly surpasses traditional machine learning baseline models like RF, SVM. We also highlight the efficacy of sensor fusion achieving an accuracy of 86.21% and an F1 score of 87.40% for routine daily activities by combining IMU and RTLS sensors, compared to using each sensor modality independently. The proposed model paves the way for developing smart environments that can intelligently adapt to the varying routines and behaviors of daily life. Our investigation shows potential applications across diverse domains, including elderly care, smart home technologies, and healthcare monitoring, suggesting the broad applicability and benefits of the developed HAR system. © 2024 IEEE.

关键词： Adversarial machine learning

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Flexible Piezoresistive Pressure sensor Based on Graphene Nano Plateletes 1

Flexible Piezoresistive Pressure Sensor Based on Graphene Na...

引用

IEEE Biosensors conference (Biosensors)

作者： Chowdhury, Azmal Huda Jafarizadeh, Borzooye Sozal, Md Shariful Islam Cheng, Zhe Pala, Nezih Wang, Chunlei Florida Int Univ Dept Mech & Mat Engn Miami FL 33174 USA Florida Int Univ Dept Elect & Comp Engn Miami FL 33174 USA

ISBN: (纸本)9798350346046

Flexible pressure sensors have gained significant attention within the research community due to their exceptional capabilities across numerous applications. Among them, piezoresistive pressure sensors have demonstrated excellent performance, thanks to their simple working mechanism, low-cost sensor fabrication methods, and the extensive range of materials available. In this study, we demonstrate a flexible piezoresistive pressure sensor by following a low-cost fabrication approach that allows us to realize both the sensing layer and substrate. We utilized a sandpaper template-assisted method to achieve a micropatterned sensing substrate, while an efficient liquid-based transfer technique was used to fabricate the sensing layer. By repeating the transfer deposition method, we were able to achieve stable conductivity of the sensing layer, resulting in pressure sensitivity of 0.0002 kPa(-1) in the low-pressure range. The moderate sensitivity of the sensor was capable of detecting tactile pressure, as demonstrated by generating Morse code.

关键词： piezoresistive pressure sensor graphene-nanoplatelets (GNP) sandpaper mold liquid-based transfer method

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Suppressing Laser Triangulation sensors Optical Aberrations by Replacing the Lens with a Slit 12

Suppressing Laser Triangulation Sensors Optical Aberrations ...

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12th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems: Technology and applications, IDAACS 2023

作者： Lapointe-Pinel, Benjamin Pigeon, Steven Université du Québec À Rimouski RimouskiQCG5L 3A1 Canada

ISBN: (纸本)9798350358056

This paper presents a new capture method for laser triangulation sensors consisting in replacing the lens with a slit - effectively making it a pinhole camera - and exploiting diffraction effects. This new method circumvents optical aberrations such as spherical, defocusing, coma, field curvature, and lens distortion, as well as lens flare to a point where it can be virtually ignored. Moreover, using a slit reduces the number of optical parts and simplifies the modeling of the laser spot to find its center. To test our proposed method, we generated data sets taking pictures with both a lens and a slit on different materials placed on a worm gear with its position controlled by a high-precision step motor. With this data, we extracted the center of the laser spot with different image processing algorithms. It was then possible to assess the goodness of fit of the triangulation curve using the sets of captured points by both methods. We show that not only we circumvent the adverse effects of optical aberrations and lens flares, we obtain a more accurate estimation of the actual known distance of the target. © 2023 IEEE.

关键词： diffraction displacement sensor distance measurement laser laser triangulation lens non-contact measurement optical aberration optics pinhole camera pinhole optics range sensor sensor triangulation

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Analysis of factors affecting the accuracy of the rotation angle measurement using nanostructured metasurfaces 12

Analysis of factors affecting the accuracy of the rotation a...

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conference on advanced sensor systems and applications XII

作者： Prokhorova, U., V Shalymov, E., V Shoev, V., I Venediktov, V. Yu Kukaev, A. S. St Petersburg Electrotech Univ LETI Laser Measurement & Nav Syst Dept St Petersburg 197376 Russia

ISBN: (纸本)9781510657090;9781510657083

The work is devoted to the analysis of the accuracy characteristics of rotation angle sensors using angular scales from nanostructured metasurfaces. The principle of their operation is based on the dependence of the frequency response of metasurfaces on the orientation of the incident light polarization plane. The influence of the noise characteristic of angle sensors on the measurement result is considered. It is shown that for the sensors considered in the work, it might be on the order of units of arc seconds. The influence on the accuracy characteristics of misalignments of the angular scale and thermal effects that the sensor may experience during operation is analyzed. Recommendations to reduce the influence of parasitic effects and further improve the accuracy characteristics are given.

关键词： metasurfaces nanostructured materials nanophotonics position control systems angle sensor

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Robust physical quantities estimation for diesel engine emission reduction using sensor fusion

Robust physical quantities estimation for diesel engine emis...

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IEEE conference on Control Technology and applications (CCTA)

作者： Benaitier, Alexis Krainer, Ferdinand Jakubek, Stefan Hametner, Christoph TU Wien Christian Doppler Lab Innovat Control & Monitorin Vienna Austria AVL List GmbH Hans List Pl 1 A-8020 Graz Austria TU Wien Inst Mech & Mechatron Vienna Austria

ISBN: (数字)9781665473385

ISBN: (纸本)9781665473385

Lowering heavy-duty emission thresholds towards ultra-low emission transportation systems constitute a serious challenge. Indeed, the engine and exhaust aftertreatment systems have been complexified for decades to fulfill always stricter regulations. As a result, the powertrain represents a significant part of the final vehicle price. Therefore, advanced control methods are required to meet the upcoming emission thresholds without drastically increasing the system cost and complexity. Such control designs have already shown promising results but require accurate physical estimates - particularly the oxygen content in the intake and the exhaust manifold are essential information for a precise engine and aftertreatment systems control. Although observer methods exist for such accurate and robust estimations, they are not suitable for hardware implementation due to their complexity. This paper introduces an observer to estimate oxygen content-related physical signals. The proposed method takes advantage of all existing sensors and a simple dynamic model within a sensor fusion framework. The observer is implemented in an advanced simulation platform, where the observer estimates are shown to be unbiased and robust to noise and sensor inaccuracies. These results suggest that an advanced controller combined with the proposed observer method could reduce the engine-out transient emissions without supplementary hardware cost or complexity.

关键词： Diesel engine emissions air path observer nonlinear Kalman filter sensor fusion

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APPLICATION AND OPTIMIZATION OF FPGA-BASED REAL-TIME MOTION CONTROL systems IN ROBOTICS

APPLICATION AND OPTIMIZATION OF FPGA-BASED REAL-TIME MOTION ...

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2024 International conference on Electrical Engineering and Intelligent Control, EEIC 2024

作者： Chen, Zimo School of Electrical Electronic and Mechanical Engineering University of Bristol BristolBS8 1QU United Kingdom

ISBN: (纸本)9781837242672

With the increasing popularity of robotic applications in various fields and the important role robots play in technological innovation and high-end manufacturing, it is crucial to optimise their performance. Field Programmable Gate Arrays (FPGAs) have greatly advanced control technology, leading to their integration into traditional robotic motion control systems, thereby enhancing performance, efficiency, and flexibility. The paper reviews traditional motion control techniques such as open-loop, closed-loop, model predictive, and adaptive control, then explores the unique capabilities of FPGAs, including parallel processing, data acceleration, system-level integration, and low-power design. These capabilities are analyzed in the context of improving sensor data processing, motion control algorithms, path planning, motor control, communication, image processing, safety, and power management in robots. The article demonstrates the advantages of using FPGAs for precise control, efficient data processing, parallel processing, and low power consumption in robot motion control. It reveals the great potential of FPGA technology in improving robot performance and efficiency. This not only provides a new path to enhance the adaptability and robustness of robots in complex environments, but also provides guidance for future technology development and industrial applications. © The Institution of Engineering & Technology 2024.

关键词： Adaptive control systems

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Enhancing Movie Recommendation systems through Demographic and Content-Based Filtering Using TF-IDF and Cosine Similarity

Enhancing Movie Recommendation Systems through Demographic a...

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2024 International conference on Artificial Intelligence and Quantum Computation-Based sensor applications, ICAIQSA 2024

作者： Shaikh, Shakila Dani, Diksha SVKM's NMIMS Computer Engineering Mukesh Patel School of Technology Management & Engineeringdept Mumbai India

ISBN: (数字)9798331517953

ISBN: (纸本)9798331517953

the need of data collection in recent years has piloted into a transformative era of information utilization. The recommendation systems represent a specialized type of information filtering mechanisms designed to improve the quality of search outcomes by suggesting items that are highly related to user queries or aligned with their historical interactions. This research uses demographic filtering for a recommending popular and well rated movies to users with similar demographic backgrounds irrespective of genre or other parameters. The methodology used in this paper computes pairwise similarity scores for all movies based on the parameter of descriptions and recommend movies to the users based on that similarity score. TF ∗ IDF is used to calculate the relative frequency that is the importance of the words in description. It vectorizes the object to generate TDF-IDF matrix of plots of movies. Cosine similarity is applied to find similarities between each pair of movies. The above approach generates a matrix in which each column represents a movie and each column has a word from the overview vocabulary that appear in at least one document. This is practiced to decrease the value of words that occur frequently in plot description, and hence reduces their impact in calculating the final similarity score. Demographic and content-based filtering is used for recommendation in this paper, while demographic filtering provides a very fundamental method for recommendation and cannot be used practically, whereas content-based filtering is more advanced and powerful. © 2024 IEEE.

关键词： Wiener filtering

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A Simple and Lightweight Mutual Authentication Protocol for Wireless sensor Networks 17

A Simple and Lightweight Mutual Authentication Protocol for ...

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17th IEEE International conference on advanced Networks and Telecommunications systems, ANTS 2023

作者： Vyas, Sauhard Jain, Usha Manipal University Jaipur Department of Computer & Communication Engineering Jaipur India Manipal University Jaipur Department of Computer Science Engineering Jaipur India

ISBN: (纸本)9798350307672

Wireless sensor networks (WSNs) are widely employed in a wide range of applications;because of technological improvements, extremely small sensors are now widely accessible, and their utilisation decreases costs. Because of power and computational limits, wireless network protocols cannot be used on networks with small nodes. We propose a node authentication for nodes in WSNs to avoid security threats and create secure communication between them, based on our understanding of the importance of security in WSNs and the resource constraints of small WSNs. In the proposed Protocol, a base station (S) creates and maintains a secret value and a random number is present in each sensor node. The sensor node authenticates itself by using a secret value and hash functions. Timestamps promotes freshness, efficiency, and durability. Because the proposed protocol is lightweight cryptography, it necessitates little computing, communication, and storage resources. The proposed mechanism's security analysis revealed no security flaws, and it was discovered to have lower storage, communication, and compute overheads. As a result, the proposed is best suited for WSNs with small nodes. © 2023 IEEE.

关键词： sensor nodes

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