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advanced DEVICES & INSTRUMENTATION 2025年 6卷

作者： Shi, Yunjie Chen, Zhiming Zhang, Yizhou Wang, Yuehao He, Peitong Zhu, xunmin Zheng, Yi Wang, Yingying Guo, Leilei Wu, Bin Fu, Zhenhai Gao, xiaowen Hu, Huizhu Zhejiang Lab Res Ctr Novel Comp Sensing & Intelligent Proc Hangzhou 310000 Peoples R China Zhejiang Univ Inst Quantum Sensing Coll Opt Sci & Engn State Key Lab Modern Opt Instrumentat Hangzhou 310027 Peoples R China Zhejiang Univ Technol Coll Phys Hangzhou Peoples R China

Mobile electric field sensors are indispensable across various domains. Optically levitated nano-resonators have demonstrated unique advantages in electric field sensing, yet their integration remains challenging. By integrating the optical path, circuit, and vacuum systems, we have successfully developed a mobile electric field device based on optically levitated nano-resonators with dimensions under 1,200 mm x 549 mm x 524 mm. The optical probe employs microcrystalline glass with housing dimensions of 60 mm x 70 mm x 200 mm to ensure miniaturization. Simultaneously, to reduce the measurement impact of external electric fields, simulations were also conducted on the structural components inside the chamber. Experimental results demonstrate that the sensor achieves a thermal noise equivalent electric field detection sensitivity of 800 mu V/cm/Hz1/2 with optimal sensitivity observed at 129.6 kHz within the low-frequency band. This device provides a new approach to developing mobile electric field sensors operating at frequencies below megahertz and paves a practical path for engineering and practical application of levitated optomechanics in vacuum.

关键词： Vacuum applications

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Light Source Attacks on CMOS-Based QRNGs 4

Light Source Attacks on CMOS-Based QRNGs

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4th International Computational Imaging conference, CITA 2024

作者： Zhang, Beibei Li, Lang xu, Yuehan Wang, Tao Zeng, Guihua State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9781510688834

QRNGs, which leverage quantum mechanical principles to generate random numbers, are widely utilized in information security and cryptography. This paper reviews various QRNG systems and their evolution, with a particular focus on the simple and efficient CMOS-based QRNG system. However, while current random number generation methods ensure randomness, they do not guarantee the security of the generated random numbers, especially in encryption applications. The results demonstrate that an attacker can manipulate the light source to inject attack signals, leading to an increase in the entropy value calculated by legitimate users. This allows the attacker to extract additional entropy information. Notably, the compromised random numbers still pass the NIST randomness tests, indicating a fundamental breach of the system's security. This paper proposes strategies for identifying and defending against such potential attacks, with the aim of enhancing the reliability and security of QRNG systems. © 2025 SPIE.

关键词： CMOS integrated circuits

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Demodulation Method for Optical Fiber Flow Velocity sensor Based on Reference Filter 4

Demodulation Method for Optical Fiber Flow Velocity Sensor B...

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4th International Computational Imaging conference, CITA 2024

作者： Zhang, xingyu Chen, Zhiyuan xu, Ronghui Yang, Tianyu Liu, Huanhuan Dong, Yuming Department of Optoelectronic Engineering Guilin University of Electronic Technology Guilin541004 China Opto-Electronic Engineering and Technology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China

ISBN: (纸本)9781510688834

This paper proposes a demodulation method for GaAs fiber-optic flow velocity sensors based on convolution operations. The method employs a five-layer wavelet forced denoising technique to smooth the acquired spectral data and utilizes a long-pass filter (LPF) waveform as a reference baseline for wavelength drift demodulation via convolution. Through polynomial fitting, this demodulation approach reduces demodulation errors and further enhances accuracy. Within the flow rate measurement range of 1.7 to 42.5 cm/s, the sensor exhibits a maximum flow rate sensitivity of 97.3 pm/(cm/s), with wavelength demodulation accuracy reaching the picometer level. The minimum flow rate demodulation error is as low as 0.02 cm/s. This method is capable of delivering high-precision demodulation across various application scenarios, demonstrating significant potential for applications in the field of fiber flow rate sensing. © 2025 SPIE.

关键词： Flow velocity

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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...

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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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All-optical tunable integrator based on microring resonator assisted by GST superlattice 2

All-optical tunable integrator based on microring resonator ...

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2nd International conference on Optical Communication and Optical Information Processing, OCOIP 2024

作者： Zhong, Wentao Dong, Yida Shen, Mei Lei, Lei Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen518060 China China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Academy for Advanced Interdisciplinary Studies Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen518000 China

ISBN: (数字)9781510688995

ISBN: (纸本)9781510688988

This paper presents the design and simulation analysis of a tunable optical integrator based on ZnS-SiO2/Ge2Sb2Te5 superlattice (GST-SL) phase change material (PCM). The transfer function of the integrator is realized through a silicon microring resonator cladded with a three-layer GST-SL (GST-SL3-MRR). The integration of the PCM into the microring resonator enables a reconfigurable Q-factor, allowing for tunable integration orders between 0.5th and 1st. Through laser-induced phase transitions between amorphous and crystalline states, the transmission spectrum of the MRR can be dynamically adjusted. Simulation results show that the integration time window reaches 300 ps for the first-order integration, and the tunable integration results closely align with the ideal mathematical predictions. demonstrating the device's highly tunable performance. Further simulations of applications for quickly solving ordinary differential equations highlight the potential applications of our device in areas such as optical signal processing and image recognition. © 2025 SPIE.

关键词： Zinc Selenide

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RDM: A Light Field Super-Resolution Model Improved with Retinex Decomposition 16

RDM: A Light Field Super-Resolution Model Improved with Reti...

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16th International conference on Signal Processing systems, ICSPS 2024

作者： Lyu, Wenqi Ke, Wei Sheng, Hao Ma, xiao Liu, Lixue Faculty of Applied Sciences Macao Polytechnic University China State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing100191 China

ISBN: (纸本)9781510689251

Light field cameras hold significant value in applications such as depth estimation, 3D video acquisition, and image super-resolution. Compared to traditional single-image super-resolution methods, light field images can capture object information from multiple spatial and angular perspectives, which is more conducive to capturing detail information. However, current advanced light field super-resolution models still exhibit issues like blurriness, jaggedness, and dimness in 4x light field super-resolution. To address this, we propose a novel light field super-resolution framework that utilizes the Retinex decomposition concept to solve common problems such as ghosting and overlap, thereby improving image quality. By decomposing the light field image into illumination and reflection components and processing them separately, our model significantly enhances detail preservation and color consistency. Experimental results on multiple datasets demonstrate that our model exhibits outstanding performance, both subjectively and objectively, highlighting the effectiveness of this framework and its broad application potential in the field of computational imaging. © 2025 SPIE.

关键词： Image acquisition

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sensor-Agnostic Graph-Aware Kalman Filter for Multi-Modal Multi-Object Tracking 27th

Sensor-Agnostic Graph-Aware Kalman Filter for Multi-Modal Mu...

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27th International conference on Pattern Recognition, ICPR 2024

作者： Sani, Depanshu Iyer, Anirudh Rai, Prakhar Anand, Saket Srivastava, Anuj Kalyanaraman, Kaushik IIIT-Delhi New Delhi India Florida State University Tallahassee United States

ISBN: (纸本)9783031784439

Recent progress in open-source object detection techniques has significantly advanced Multi-Object Tracking (MOT) methodologies, primarily under the tracking-by-detection paradigm. To enhance the robustness and reliability of MOT systems, recent research has proposed integrating information gathered from diverse sensors. However, many Kalman filter-based MOT approaches assume the independence of object trajectories, overlooking potential inter-object relationships. While some efforts have been made to incorporate these relationships, they often concentrate on learning feature representations to facilitate better association. Moreover, the existing filter-based method for estimating graphs from noisy data is unsuitable for online MOT applications. To alleviate these problems, we introduce a sensor Agnostic Graph-Aware (SAGA) Kalman filter, which is the first online state estimation technique designed to fuse multi-modal graphs derived from noisy multi-sensor data. We validate the effectiveness of our proposed framework through extensive experiments conducted on both synthetic and real-world driving dataset (nuScenes). Our results showcase an improvement in MOTA and a reduction in estimated position errors (MOTP) and identity switches (IDS) for tracked objects using the SAGA-KF. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Kalman filters

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Electoral Symbols and Vote detection in Paper Ballots - A Case from Nepal's Election 17

Electoral Symbols and Vote detection in Paper Ballots - A Ca...

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17th International conference on Machine Vision, ICMV 2024

作者： Shrestha, Raju Acharya, Suraj Department of Computer Science Oslo Metropolitan University Oslo Norway

ISBN: (纸本)9781510688278

This paper investigates the potential of advanced object detection technologies to automate and enhance the accuracy and efficiency of the vote counting process in democratic elections that utilize paper-based ballots with electoral symbols. The study focuses on detecting electoral symbols and votes on paper ballots by utilizing two state-of-the-art object detection models: Faster R-CNN, and YOLO. These models were fine-tuned by training them with the ballot papers created using the dataset prepared from the electoral symbols used in Nepal's general election to ensure high accuracy and reliability in recognizing and validating votes. The system's effectiveness was demonstrated through a comparison of the models, highlighting the superior performance of Faster R-CNN in terms of precision, despite its slower processing speed compared to YOLO. The results indicate that incorporating object detection technologies into electoral systems can significantly improve efficiency of vote counting process. The study underscores the potential for broader applications of these technologies in promoting transparent and fair elections, especially in countries like Nepal, where traditional paper ballots are still prevalent. This innovative approach ensures a more reliable and efficient electoral process, reducing human error and increasing trust in election outcomes. © 2025 SPIE.

关键词： Object detection systems modeling Image processing Performance modeling Transparency Data modeling Artificial intelligence Deep learning

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Design and Implementation of a Mobile Infant Care Monitoring System Based on Virtual Simulation Technology of Computer Service Programs

Design and Implementation of a Mobile Infant Care Monitoring...

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2024 International conference Optoelectronic Information and Optical Engineering, OIOE 2024

作者： Jun, Guobin School of Children's Welfare Changchun Humanities and Sciences College Changchun China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

With the changes in modern families and the needs of infants, traditional parenting methods are no longer able to meet the needs of parents. In order to provide a more advanced and convenient parenting method, this study designed and implemented a mobile parenting monitoring system based on virtual simulation technology of computer service programs. This system utilized virtual simulation technology, combined with mobile devices and cloud computing technology, to provide real-time remote monitoring and intelligent childcare services, providing greater convenience for parents and comprehensive care for infants. The real-time monitoring range of the mobile childcare monitoring system designed in this article was expanded to 100 meters compared to the traditional one, with the number of cameras increasing from 1 to 4, and the storage capacity also expanding to 50GB. The feasibility of the system also had advantages in terms of technical proficiency, economic cost, time cost, market competitiveness, and operational difficulty. The average score in terms of system stability was 85.71, which was also much higher than traditional childcare monitoring systems. The mobile childcare monitoring system designed in this article was significantly superior to traditional childcare monitoring systems and had broad application prospects. © 2025 SPIE.

关键词： Mobile applications

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3rd International conference on Computational Electronics for Wireless Communications, ICCWC 2023

3rd International Conference on Computational Electronics fo...

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3rd International conference on Computational Electronics for Wireless Communications, ICCWC 2023

ISBN: (纸本)9789819719457

The proceedings contain 35 papers. The special focus in this conference is on Computational Electronics for Wireless Communications. The topics include: Design of a Four-Port MIMO Antenna for C-, x-, and Ku-Band applications;Exploration of Diverse Techniques for Design and Optimization of QCA-Based Multiplexer Circuits;melanoma Detection Via Deep Convolutional Neural Network;Pattern Diversity mm-Wave Rectangular Ring Shaped MIMO Antenna for 5G Communication and Internet of Things applications;Flexible Two/Eight-Port MIMO Antenna Configuration for LTE B41/WLAN/Wi-Fi 6E and C-Band applications;Improvement in Machining Ability of Tungsten Carbide Tool Insert Through Microwave Hybrid Heating During Turning of EN 24 Steel;optimizing Airfare Pricing: A Data-Driven Approach for Affordable Travel Planning;advancements in Emotion Recognition: Systematic Review and Research Roadmap;epoc-Based Electroencephalography Signals Analysis of Different Stress Levels;Two-Element Tilted Rectangular MIMO UWB Antenna for Underwater Communications;deep Learning-Based Maize Crop Disease Detection and Remedial Recommendation System;design of Splash Plate Dielectric Hat Feed for Ka-Band Tracking Radar applications;soft Computing Paradigms for Load Balancing in Cloud Computing;strategies for Effective Network Congestion Control: Insights from Parameter-Based Analysis;BICC: Optimizing sensor Network Performance Via an Efficient Bioinspired Iterative Approach with Congestion Control;Leakage Power Reduction and Stability Analysis of 5 nm Node GAA CNTFET SRAMs;bandwidth Enhancement and Improvement of Directivity of a Composite Conical Structure in the Presence of a Circular Loop Antenna;development of Compact Dual Polarized Corrugated Feed Horn Antenna with Low Cross-Polarization for Doppler Weather Radar applications in C-Band;A Review on Recent Breakthroughs and Accomplishments in the Development of FeFET.

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