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

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Distributed optical fiber sensor technology for bite force mapping 13

Distributed optical fiber sensor technology for bite force m...

引用

advanced sensor systems and applications xIII 2023

作者： Katrenova, Zhanerke Alisherov, Shakhrizat Yergibay, Madina Kappassov, Zhanat Tosi, Daniele Molardi, Carlo Nazarbayev University Kabanbay batyr 53 Astana Kazakhstan National Laboratory Astana Kabanbay batyr 53 Astana Kazakhstan

ISBN: (纸本)9781510667914

Measuring bite force gives important information about the performance of the jaw muscles. Enhancement of bite force measurements, particularly 2D force mapping, can be achieved through the application of advanced distributed fiber optics sensing techniques, which present the capability to acquire high resolution measurements. Optical Backscatter Reflectometry (OBR), based on the principles of Optical Frequency Domain Reflectometry (OFDR), is the key to achieve spatially distributed measurements and transform a single-mode fiber (SMF) into a cost-effective minimally invasive sensor. The OBR interrogator, manufactured by LUNA, catches the light backscattered by each section of the fiber and detects the spectral variation induced by the stain and pressure application. We have developed two methods to construct a two-dimensional map of the applied bite force. In the first a SMF has been bent into four lines and embedded into a silicone mouthguard. In the second approach we used massive Scattering‑Level Multiplexing (SLMux), which exploits fibers with different scattering levels: a standard low scattering SMF to enable the multiplexing, and a MgO‑nanoparticles doped fibers with a 40 dB higher scattering for sensing purposes. The setup with eight multiplexed fibers allows to obtain bite force mapping for each side of the jaw by embedding four fibers for left and right sides. The pressure sensitivity coefficient of the maps has been effectively calculated. The setup has been validated for 2D force mapping over the silicone mouthguard with millimeter resolution. The capability of optical fiber to be multiplexed and embedded in non-uniform geometries results in a high resolved and precise 2D bite force reconstruction. © 2023 SPIE.

关键词： Single mode fibers

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Unsupervised Segmentation of CNC Milling sensor Data into Comparable Cutting Conditions 35th

Unsupervised Segmentation of CNC Milling Sensor Data into Co...

引用

35th International conference on Database and Expert systems applications (DExA)

作者： Goetz, Manuel Rost, Maximilian Wilkner, Dennis Schirmeier, Frank Univ Appl Sci Kempten Inst Data Optimized Mfg IDF Bahnhofstr 61 D-87435 Kempten Germany

ISBN: (纸本)9783031683114;9783031683121

This study aims to identify subsegments of identical cutting conditions in milling manufacturing processes using unsupervised clustering methods. Such a segmentation has a wide range of potential applications, from data compression and data obfuscation to domain specific process optimization tasks like tool wear detection or energy consumption forecasting. While prior research focuses on supervised approaches, in which the program code that instructs the milling machine is enriched by a human expert with special commands that mark the beginning and ending of segments of interest, our focus lies on unsupervised techniques, eliminating the need for such labeling efforts. Our method relies on a time-discretized simulation of the milling process. The main assumption of our method is that the so-called removed volume, i.e. the volume that is removed by the milling tool between two successive time steps, gives valuable and sufficient insight into the cutting condition. We demonstrate that, by analyzing characteristic properties of the removed volume geometries, comparable cutting conditions can be identified, which can be used e.g. to segment collected sensor data into homogeneous pieces. The results showcase the effectiveness of unsupervised methods in the analysis of manufacturing processes.

关键词： Unsupervised Learning Clustering Cutting Conditions CNC Milling Process Optimization

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Review of non-dispersive infrared sensor technology

Review of non-dispersive infrared sensor technology

引用

2024 CSAA/IET International conference on Aircraft Utility systems, AUS 2024

作者： Zhang, Siyu Han, Lei Miao, Yang Beijing University of Posts and Telecommunications Beijing China Beijing University of Technology Beijing China Beijing Key Laboratory of Advanced Manufacturing Technology Beijing China

Non-Dispersive Infrared (NDIR) is an optical, non-contact, multi-component measurement technology that can be used for online monitoring of gas components and contaminants in liquids. It offers advantages such as good selectivity, strong anti-interference capability, long service life, and high accuracy. NDIR sensors are widely used in industrial, environmental, medical, food, and aviation fields. Based on the principle of gas absorption of specific wavelength infrared light, NDIR sensors provide long-term stability and resistance to environmental changes. This paper reviews the applications of NDIR sensors in monitoring gas concentrations and assessing oil conditions. Additionally, it summarizes the substances that NDIR sensors can monitor according to their absorption wavelengths and outlines the principles for selecting light sources in NDIR sensors. © The Institution of Engineering & Technology 2024.

关键词： Condition monitoring

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Mechanical Modelling and Analysis of CMOS Image sensor Package 25

Mechanical Modelling and Analysis of CMOS Image Sensor Packa...

引用

25th Electronics Packaging Technology conference (EPTC)

作者： Lim, T. S. Sukiman, Muhamad Shafiq Jasmee, S. Masdzarif, N. D. I. ON Semicond M Sdn Bhd Lot 122Senawang Ind Estate Seremban Malaysia Univ Teknikal Malaysia Melaka Hang Tuah Jaya 76100 Melaka Malaysia

ISBN: (纸本)9798350329575

The growth of automotive industry not only focus on power efficiency and carbon emission reduction, it also has makes further progress in the areas of advanced driver assistance systems (ADAS) and autonomous driving (AD) technologies. With the progressive technology breakthrough and heavily studies in these two areas, the demand for imaging cameras is steadily increasing to support applications such as lane detection, traffic sign detection, pedestrian/vehicle recognition and driver monitoring. Consequently, this drives higher demand for image sensor packages to meet stringent automotive reliability requirements. In the past, high reliability image sensor packages are typically with ceramic based packages, these tend to have considerably higher costs and longer development cycles than laminate-based packages which are normally used in high speed, RF or MEMS market segment. Therefore, it is important to ensure a high reliability for the laminate-based packages by studying the package design. This can be done by finite element analysis (FEA) which is a fast and cost-efficient method in analyzing the stress experienced by the package. This paper discusses the effects of different package designs on the package stress using the FEA simulation method.

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Cognitive Congestion Alleviation Framework in IoT-Enabled WSN for Next-Gen Intelligent Transport systems via Optimized Capsule Attention Network 3

Cognitive Congestion Alleviation Framework in IoT-Enabled WS...

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3rd International conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Mohandas, R. Sudha, Y. Narmatha, P. Venkata Prasad, P. Manikandan, N. Department of Electronics & Communication Engineering Chennai Institute of Technology Tamil Nadu Chennai India Department of Computer Science and Engineering Presidency University Karnataka Bangalore India Department of Computer Science and Engineering Sri Sairam College of Engineering Karnataka Bangalore India Department of Electrical and Electronics Engineering Chaitanya Bharathi Institute of Technology Telangana Hyderabad India Department of Business Administration Kalasalingam Business School Kalasalingam Academy of Research and Education Viruthunagar Krishnankoil India

ISBN: (纸本)9798331527549

The rapid advancement of Intelligent Transportation systems (ITS) has heightened the importance of reliable, real-time data transmission in Wireless sensor Networks (WSNs). However, congestion in data-heavy Internet of Things (IoT)-enabled networks remains a critical challenge, impacting communication efficiency and decision-making in ITS. In high-density IoT-ITS applications, traditional congestion control methods are insufficient to address the complexity and dynamics of data flows. Existing solutions often fail to adapt in real time to varying traffic loads, leading to delays and data loss. There is a strong need for a congestion alleviation framework capable of intelligently prioritizing data while dynamically managing network resources to ensure seamless information exchange in large-scale deployments. This study presents a Cognitive Congestion Alleviation Framework in IoT-Enabled WSN for Next-Gen Intelligent Transport systems via Optimized Capsule Attention Network (V-CapMiAN-Parr), which combines the Vectorized Adaptive Capsule Neural Network (V-AdCapNet) and Multi-instance Attention Network (MAN), fine-tuned by the Parrot Optimizer (ParrOpt). This integration aims to effectively detect, mitigate, and prevent congestion through an advanced capsule-based attention mechanism with adaptive optimization. The suggested V-CapMiAN-Parr framework demonstrated significant improvements in congestion control, achieving data throughput efficiencies above 99.7%, packet delivery rates above 99.5%, and network reliability reaching 99.2% under high traffic loads. The model’s adaptive weighting mechanism ensures real-time responsiveness and reliability, crucial for next-gen ITS applications. The V-CapMiAN-Parr framework effectively addresses congestion issues in IoT-enabled WSNs, providing a robust, scalable solution for ITS applications. This cognitive framework’s advanced data prioritization and adaptive optimization capabilities are well-suited for enhancing the performanc

关键词： Traffic congestion

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Interferometric Fiber-Optic sensor for Electrical Partial Discharge Detection 28

Interferometric Fiber-Optic Sensor for Electrical Partial Di...

引用

28th International conference on Optical Fiber sensors, OFS 2023

作者： Yan, Gaocheng Chen, Jiageng Niu, Heng Qiao, Feng He, Zuyuan State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China Shangwei Technology Co. Ltd. 23 Wanghai Road Fujian Xiamen361008 China

We propose an interferometric fiber-optic sensor and investigate its ability to measure the partial discharge in electrical applications. Preferable performance can be achieved under system self-noise level of 10−6 ra... 详细信息

ISBN: (纸本)9781957171302

关键词： Partial discharges

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Design of the Hotelling T2 Control Chart for Anomaly Detection in IoT systems

Design of the Hotelling T2 Control Chart for Anomaly Detecti...

引用

2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Fontenot, Sy Lovett, Jack Reichherzer, Thomas Cohen, Achraf University of West Florida Department of Mathematics and Statisitcs PensacolaFL United States University of West Florida Department of Computer Science PensacolaFL United States

ISBN: (纸本)9798331504847

IoT systems such as smart homes or cities capture large amounts of data in real time using a wide range of interconnected sensor devices linked to edge nodes and their associated cloud services. In such systems, sensors must operate continuously and reliably in their deployed environment to deliver meaningful data to the users. As time passes, sensors may fail or become less effective in collecting raw data, resulting in erroneous data being delivered to the end user, who relies on their accuracy for decision-making. In this paper, we study detection methods of anomalies in sensor data based on Hotelling's T2 statistic. In simulation experiments, we calculate the lowest possible shift in data streams that are detectable by our proposed methods using sensor data from a smart home. Our results show that the proposed method successfully identifies the low shift in the means, given a confidence level with an accuracy of 90%. These results are based on data and do not assume a specific distribution, which opens up new potential applications for IoT data and anomaly detection. Additionally, some low shifts can be difficult to detect visually, but our proposed method will be able to detect those low shifts. © 2025 IEEE.

关键词： Nyquist diagrams

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A Review on Dynamics of Gear systems with Gravity Effects 3

A Review on Dynamics of Gear Systems with Gravity Effects

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3rd International conference on advanced Manufacturing Technology and Electronic Information, AMTEI 2023

作者： Du, Ying Yang, Long Tong, Ruiting Liu, Lan Gong, Jingyi Liu, Geng Shaanxi Engineering Laboratory for Transmissions and Controls Northwestern Polytechnical University Xi'an710072 China No.703 Research Institute of CSSC Harbin150078 China

ISBN: (纸本)9781510674806

Gear systems are extensively implemented in industrial applications such as shipping, wind turbine and aerospace. The performance of the transmission equipment will be directly affected by the dynamic characteristics of the gear system. As the demand for high-power and heavy-load gear transmissions continues to rise, gear systems are inclined to exhibit high volume and weight. It is essential to take gravity effects into consideration during the analysis of gear dynamics, because they will make components of gear systems deform, change the tooth contact status and consequently affect the dynamic response of gear systems. In the past few decades, research on the gear systems dynamics with gravity effects has increased dramatically. This paper provides a comprehensive review of published literatures related to the gear dynamics considering gravity effects. The studies focus on three primary themes: the impact of gravity upon the time-domain dynamic response, the impact of gravity upon the frequency-domain dynamic response, and the impact of gravity upon the gap nonlinear response of gear systems. Finally, some conclusions are summarized. © 2024 SPIE.

关键词： Dynamic response

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Distributed Algorithm for Localization of Localizable Wireless sensor Networks 1

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37th International conference on advanced Information Networking and applications, AINA 2023

作者： Kanchi, Saroja Department of Computer Science Kettering University FlintMI48504 United States

ISBN: (数字)9783031290565

ISBN: (纸本)9783031290558

In this paper, a distributed algorithm is presented that localizes large number of sensors in localizable wireless sensor networks. It is well known that a network is localizable if and only if the underlying graph is globally rigid, however, even for globally rigid graphs, localization problem is proven to be NP-Hard. We develop a polynomial time distributed algorithm for localization on localizable networks based on annexation of localizable nodes using trilateration, bilateration and edge reconciliation. We study the performance of the algorithm for networks that have varying node densities, sensor radii and connectivity of the underlying graph. We assume that there are three anchor nodes available for localization. Even for networks that whose underlying globally rigid graph is sparse, we demonstrate that the algorithm performs exceptionally well by localizing large percentage of nodes. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Polynomial approximation

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Design and Analysis of CS-RPA Tri-Band for RADAR and Air Traffic Control applications 10

Design and Analysis of CS-RPA Tri-Band for RADAR and Air Tra...

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10th International conference on advanced Computing and Communication systems, ICACCS 2024

作者： Aadithiya B, Neeththi Sujithaa, R. Sowmiya, P. Sowmiya, K. Vinitha, A. M. Kumarasamy College of Engineering Department of Ece Tamil Nadu Karur India

ISBN: (纸本)9798350384369

This research addresses the imperative challenges of achieving comprehensive performance in gain, return loss, and bandwidth, while also emphasizing compactness and structural simplicity in a tri-band antenna design for wireless applications. Employing a three-stage design evolution process, the CS-RPA (Center Slot-Rectangular Patch Antenna) integrates strategically etched square slots, and a center slot on an FR4 substrate with dimensions of 18x18 mm2. The antenna is simulated utilizing Computer Simulation Technology (CST) software. The developed CS-RPA antenna design resonates at 6.82 GHz (6.67-7.03 GHz), 9.96 GHz (9.27-10.41 GHz), and 13.39 GHz (13.09-13.76 GHz), accompanied by impressive return losses of -15.76 dB, -26.67 dB, and -19.51 dB, respectively. Notably, Voltage Standing Wave Ratio (VSWR) values within these operating bands remain below 1.4, signifying excellent impedance matching. The developed tri-band CS-RPA antenna demonstrates outstanding performance attributes, with the operating efficiency 79%, gain that exceeds 3 dBi across the three operating bands, and nominal bandwidth values. The developed CS-RP A antenna finds application in RADAR and air traffic control systems. © 2024 IEEE.

关键词： Slot antennas

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