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检索条件"任意字段=Conference on Algorithms, Devices, and Systems for Optical Information Processing"

共 3196 条记录，以下是41-50 订阅

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Coupling strategies for integrated photonics: advances and opportunities 23

Coupling strategies for integrated photonics: advances and o...

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23rd Slovak-Czech-Polish optical conference on Wave and Quantum Aspects of Contemporary Optics

作者： Benedikovic, Daniel Fraser, William Korček, Radovan Medina, David Dominguez-Bucio, Thalia Gardes, Frederic Wilmart, Quentin Jaššák, Jozef Gonda, Matej Litvík, Ján Glesk, Ivan Petrovič, Adam Pikulíková, Viktória Šajban, Matej Edmond, Samson Cheben, Pavel Schimd, Jens H. Alonso-Ramos, Carlos Vivien, Laurent Ye, Winnie N. Faculty of Electrical Engineering and Information Technology University of Zilina Zilina Slovakia Department of Electronics Carleton University Ottawa Canada National Research Council Canada Ottawa Canada Centre de Nanosciences et de Nanotechnologies CNRS Universite Paris-Saclay Palaiseau France Optoelectronic Research Centre University of Southampton Southampton United Kingdom CEA LETI Grenoble France

ISBN: (数字)9781510688094

ISBN: (纸本)9781510688087

Integrated photonics is envisioned as a key enabler for numerous emerging applications, including high-speed communications, ultra-fast optical computing, and quantum information processing. These applications call upon efficient connection between the sub-micrometric planar photonic waveguides and standard optical fibers (SMF-28). Fiber-to-chip optical interfacing has always been recognized as an issue of fundamental importance in the field of integrated photonics, particularly by imposing a critical constraint on the power budget for the chip-scale photonic systems. Hence the direct fiber-chip connection is vastly inefficient with position-restricted accessibility, the key challenge for light coupling involves several factors. This includes geometrical and material discrepancies, different mode field diameters of SMF-28 fibers and photonic waveguides, on-chip design flexibility, and fast optical testing, preferably utilizing available die-level or wafer-scale accessories. In this work, we report on our recent progress in the development of efficient fiber-to-chip optical interfaces based on compact surface grating couplers. We present and discuss prospective design approaches and experimental results for grating-coupled devices implemented on surging silicon (Si) and silicon nitride (SiN) waveguide platforms, supporting advanced photonic integration with coupling efficiencies approaching -1 dB level. © 2025 SPIE.

关键词： Silicon nitride

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Secure encryption system based on quantum access network 4

Secure encryption system based on quantum access network

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4th International Computational Imaging conference, CITA 2024

作者： Liu, Yuchao Wang, Tao Xu, Yuehan Zeng, Guihua State Key Laboratory of Advanced Optical Communication Systems and Networks Center of Quantum Sensing and Information Processing Shanghai Jiao Tong University Shanghai200240 China Shanghai Research Center for Quantum Sciences Shanghai201315 China Hefei National Laboratory CAS Center for Excellence in Quantum Information and Quantum Physics Hefei230026 China

ISBN: (纸本)9781510688834

Quantum secure communication technology, grounded in the principles of quantum mechanics, has revolutionized traditional cryptographic methods, which predominantly rely on mathematical algorithms and logical transformations. Quantum key distribution (QKD) facilitates the secure sharing of symmetric keys between legitimate parties, ensuring the integrity and confidentiality of information in communication channels. Among various QKD schemes, continuous variable quantum key distribution (CV-QKD) has emerged as a viable alternative to the more established discrete variable quantum key distribution (DV-QKD). CV-QKD boasts several advantages, including straightforward deployment, reduced operational costs, and stable signal quality, positioning it as a significant component of the quantum communication *** noise stream cipher (QNSC) represents a technique that employs redundant data streams to encrypt plaintext. Notably, QNSC shares structural similarities with the optical path used in quantum key distribution, allowing for compatibility with existing QKD infrastructure. Furthermore, the keys generated through quantum key distribution ensure absolute security, enabling them to substitute the data streams produced by pseudo-random sequences traditionally used in classical encryption schemes. This substitution enhances the overall security framework of the quantum noise stream encryption *** quantum access network (QAN) extends quantum key distribution capabilities from point-to-point connections to point-to-multipoint configurations, thereby becoming an essential component of contemporary network architectures. By interlinking multiple end users with a network backbone, quantum access networks can seamlessly integrate with quantum key distribution protocols. This integration offers a cost-effective and scalable solution for user access to the *** experimental verifications have demonstrated the viability of downstream access networks,

关键词： Quantum noise

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Vehicle Registration Plate Recognition Using YoloV8 and IOT 1

Vehicle Registration Plate Recognition Using YoloV8 and IOT

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1st International conference on AIML-Applications for Engineering and Technology, ICAET 2025

作者： Nadaf, Juber Kadam, Amol Jadhav, Pramod Kadam, Prasad Patil, Vinod Gaikwad, Milind College of Engineering Department of Computer Pune India College of Engineering Department of CSBS Pune India College of Engineering Department of E & TC Pune India College of Engineering Department of Information Technology Pune India

ISBN: (纸本)9798350355611

Number Plate recognition or the vehicle License Plate recognition is an interesting topic of research in smart cities which utilizes Image processing techniques. Since the number of cars is rising at an exponential rate, automated systems are supposed to store vehicle data for a variety of applications. In this intended algorithm, an efficient technique has been identified for recognition of different vehicle number registration plates. Through this technique, we can easily deal with problems like low light, irregular font number plates, wrong angles. We use the method of optical Character Recognition to identify characters that are extracted from the registration plate. Even though this project works efficiently for common use cases, it has its own drawbacks and limitations even though we are not using deep learning or any other machine learning algorithms. One of the important steps in vehicle plate recognition is the character recognition which is a technique to obtain individual text characters. YOLOv8 (You Only Look Once), and Darknet- 53 are the methods that is used to extract the features of the data. In this model, the input data is the image of the vehicle that is captured from the camera sensors or cell phones and later cropped to display only the registration plate. We undergo data-pre-processing to improve the quality or the pixels of image on the number plate. Testing is done using two different models one is the model which is obtained with more pre-processing data and the other obtained without any pre-processing data. We evaluate two datasets of number plate images: one with no interference and one where the colour intensity of the image has been decreased to test, the accuracy of the model © 2025 IEEE.

关键词： Deep learning

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Design and application of a high-protection micro outdoor cabinet for edge servers based on diagnostic system algorithms 2

Design and application of a high-protection micro outdoor ca...

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2nd International conference on Frontiers of Applied Optics and Computer Engineering, AOCE 2025

作者： Gao, Mingliang Ding, Zhifu Fu, Changzhao Gao, Shan Wang, Yongguang Wu, Jianguo Sun, Yi Edge Computing Business Unit Inspur Electronic Information Industry Co. Ltd. Shandong Jinan250013 China CRRC Changchun Railway Vehicles Co. Ltd. China

ISBN: (纸本)9781510689404

The expansion of edge computing has led to a shift in server deployment strategies, with an increasing preference for server hardware in outdoor environments. This shift is primarily aimed at reducing the latency of data processing and improving the utilization of network bandwidth. Despite the obvious potential benefits, outdoor environments present numerous challenges that can detract from the stability and reliability of server operations. Factors such as temperature changes, humidity levels, and exposure to natural elements can greatly affect server performance. In light of these challenges, this article explores the evolution of complex diagnostic systems for edge servers. On the basis of high-protection micro-outdoor cabinets, the research focuses on the design of complex real-time server monitoring and fault prediction algorithms. These algorithms are essential for early identification of potential problems, enabling preventative maintenance actions and reducing downtime. The overall goal of this study is to enhance the operational consistency of outdoor servers and ensure their efficient functionality under harsh conditions. In addition, by reducing the need for frequent and expensive maintenance, the proposed system aims to reduce the overall operating costs associated with managing servers. © The Authors.

关键词： Edge computing

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Terahertz AND-logic switching based on vanadium dioxide micro-ring resonators 2

Terahertz AND-logic switching based on vanadium dioxide micr...

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2nd International Academic conference on Optics and Photonics, IACOP 2024

作者： Li, Yong Ma, Jing Liu, Huan Zhang, Huan Zhang, Ya-Yun Wang, Xiang-Yu Tao, Zhi-Yong Fan, Ya-Xian Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing Guilin University of Electronic Technology Guilin541004 China Academy of Marine Information Technology Guilin University of Electronic Technology Beihai536000 China Key Laboratory of Cognitive Radio and Information Processing Ministry of Education Guilin University of Electronic Technology Guilin541004 China

ISBN: (数字)9781510688827

ISBN: (纸本)9781510688810

The application of optical switches has attracted significant attention in recent years due to their potential in advanced communication systems and integrated photonics. Here, we propose a thermally tunable terahertz (THz) AND-logic switching device based on vanadium dioxide (VO2) micro-ring resonators (MRRs) on a silicon platform. VO2 exhibits an insulator-to-metal transition (IMT) characteristic at relatively low temperatures, and the conductivity can be increased by 4-5 orders of magnitude under external thermal pumps, with the a few picoseconds of rapid phase transition process, which allows for highly efficient modulation of THz waves. This transition shows significant advantages in terms of low-power operation and dynamic control over the THz response. Based on the IMT transition of VO2, the device achieves precise control of THz waves, which enables reliable AND-logic operation. At low temperatures, when VO2 is in the insulating phase, the hybrid VO2 MRR exhibits logic "1". Conversely, at high temperatures, when VO2 transitions to the metallic phase, logic "0" is created. Simulation results demonstrate that when thermal stimulation is applied simultaneously to both micro-rings (A=1, B=1), the transmittance is greater than 0.8 at 1.5142 THz, while for other input combinations, the transmittance close to 0. The modulation depth up to 84%. The simulated electric fields confirm that the AND logic operation function is mainly attributed to the VO2 phase transition and the resonance effect of MRRs. The proposed VO2-based structure demonstrates improved performance compared to conventional materials, including faster switching speeds, lower power consumption, and a higher degree of tunability across the THz spectrum. This work highlights the promise of VO2 as a key material for next-generation tunable THz devices, offering a scalable solution for photonic and communication technologies. © 2025 SPIE.

关键词： Vanadium dioxide

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Research on a Personalized License Plate Recognition Algorithm Based on the LPRNet Model 17

Research on a Personalized License Plate Recognition Algorit...

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17th IEEE International conference on Computer Research and Development, ICCRD 2025

作者： Han, Ruitong Sun, Shizhuo University of Queensland Faculty of Engineering Architecture and Information Technology Brisbane Australia

ISBN: (纸本)9798331531881

Automatic recognition of vehicle license plates has become a core issue in the construction and management of smart cities and intelligent transportation systems both domestically and internationally. Core recognition algorithms face significant challenges due to varying lighting conditions, diverse background colors, personalized license plates, and the visual similarity of characters. This paper proposes an improved recognition model based on the LPRNet model-SE-Bi-LPRNet. This model employs YOLOv8 for precise localization of the license plate area and introduces an attention layer that integrates attention and contextual mechanisms. By incorporating a bidirectional long-short-Term gated algorithm and threshold selection, it effectively addresses complex background environments. The attention layer enhances the recognition accuracy of visually similar characters, while the bidirectional gating algorithm improves adaptability in complex scenes. Experimental results show that SE-Bi-LPRNet achieves a recognition accuracy of 96.79% in complex environments and 95.32% in personalized character recognition, significantly outperforming traditional LPRNet and other methods while maintaining competitive processing times. These improvements highlight the robustness and application potential of the model in intelligent transportation systems. Future research will explore integrating Transformer encoders into the model to enhance sequence modeling capabilities and overall performance. © 2025 IEEE.

关键词： optical character recognition

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Optimizing Neural Prosthetic Control systems Using Genetic Algorithm for Adaptive Signal processing

Optimizing Neural Prosthetic Control Systems Using Genetic A...

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Multi-Agent systems for Collaborative Intelligence (ICMSCI), International conference on

作者： S. Purnima A. Sathiya P. Poonkuzhali Minu Balakrishnan Saravanan M M. Saravanan Dept. of BME Jerusalem College of Engineering Chennai Department of ECE M. Kumarasamy College of Engineering (Autonomous) Karur Department of ECE R.M.D. Engineering College Chennai Department of Information Technology Sri Eshwar College of Engineering Coimbatore Department of ECE Sri Eshwar college of engineering Coimbatore Department of ECE Faculty of Engineering & Technology Annamalai University Chidambaram

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509835

Neural prosthetic systems provide promising solutions for restoring motor functions in individuals with disabilities. However, optimizing the control systems that decode neural signals remains a key challenge due to the dynamic nature of neural activity. This paper proposes a novel approach using a Genetic Algorithm (GA) to optimize the parameters of adaptive signal processing algorithms in neural prosthetic systems. The GA enables continuous calibration and adjustment, improving the accuracy of neural signal decoding and control over time. Simulation results show significant improvements in the efficiency of signal decoding from EEG/EMG data, leading to smoother control of prosthetic devices. The proposed methodology offers an adaptive and user-specific solution, contributing to enhanced prosthetic functionality and user experience.

关键词： Accuracy Signal processing algorithms Control systems Adaptive signal processing User experience Decoding Time factors Prosthetics Genetic algorithms Testing

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optical Authenticity in Pushbroom System for Spectral information Protection

Optical Authenticity in Pushbroom System for Spectral Inform...

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International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Pablo Gomez Roman Jacome Emmanuel Martinez Hans Garcia Henry Arguello Department of Electrical Electronics and Telecommunications Engineering Universidad Industrial de Santander Bucaramanga Colombia Department of Systems and Informatics Engineering Universidad Industrial de Santander Bucaramanga Colombia

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

In remote sensing and environmental monitoring, the authenticity of the collected hyperspectral image (HSI) is critical since unauthorized changes could cause inaccurate evaluation. Traditional approaches ensure HSI integrity after the acquisition, leaving the data vulnerable to unauthorized access or modification before applying a protective strategy. In response, this work presents a pushbroom HSI system that integrates an authentication key on the acquisition process, ensuring the key imperceptibility without affecting performance in spectral classification tasks. In addition, this work develops an algorithm designed to simulate attacks through class modifications in the HSI. Additionally, a detection algorithm is proposed to identify modifications by comparing the signed HSI with the altered version, effectively recognizing the embedded key. The proposed method was tested using simulated data and acquired data in the optical laboratory. Results demonstrate that the system maintains classification accuracy, further enhancing imperceptibility. Additionally, modifications are detectable by the key with 99% accuracy.

关键词： Integrated optics Accuracy Authentication Signal processing algorithms optical imaging Classification algorithms optical sensors optical signal processing Speech processing Hyperspectral imaging

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Lightweight design and deployment of object detection model for low-light scenes 4

Lightweight design and deployment of object detection model ...

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4th International conference on Computer Vision, Application, and Algorithm, CVAA 2024

作者： Sun, Kangjian Huo, Ju Jiang, Xiaona Gao, Yichao Cai, Chen School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China National Key Laboratory of Modeling and Simulation for Complex Systems Harbin China China FAW Corporation Limited Changchun China College of Design and Engineering National University of Singapore Singapore Signal and Communication Research Institute China Academy of Railway Sciences Beijing China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

Low-light scenes are common in fields such as autonomous driving, which tests the robustness of intelligent systems. This paper tests the performance of object detection in low-light scenes based on the YOLOv8n model. In order to solve the constraint of limited computing power of embedded devices, the YOLOv8n model is adjusted through model pruning and knowledge distillation. The complexity of the model is reduced through these lightweight operations. While ensuring the detection performance as much as possible, the multiply-accumulate operations (MACs) and parameters of the model decreased by about 40% and 27% respectively. The proposed model is evaluated on the Exclusively Dark (ExDARK) dataset and achieves a mean average precision (mAP) value of 0.672. In addition, the proposed model is migrated to the embedded platform NVIDIA Jetson Xavier NX. The deployment process is optimized by multi-process scheduling and multi-thread scheduling. Experiments are also conducted on real data, and the results show that the proposed model can provide a feasible solution for vision-based nighttime autonomous driving. © 2025 SPIE.

关键词： Object detection Deep learning Image processing

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Directions for Optimizing the Process of Obtaining and processing Thermograms Using a Mobile Application

Directions for Optimizing the Process of Obtaining and Proce...

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Electrical, Electronic and information Sciences (eStream), Open conference of

作者： Iryna Kyrychenko Kostiantyn Nechvolod Vitaliy Makarov Iryna Gruzdo Department of Software Engineering Kharkiv National University Of Radio Electronics Kharkiv Ukraine Department of Surgery No.4 Kharkiv National Medical University Kharkiv Ukraine

ISBN: (数字)9798331598730

ISBN: (纸本)9798331598747

Thermography is an advanced diagnostic method widely used in various fields, including medicine, engineering, and industrial applications. With the increasing use of mobile applications in diagnostics, optimising thermographic analysis for mobile platforms has become a significant area of research. This paper examines the key aspects of thermographic imaging, including the principles of infrared radiation detection, image processing techniques, and integrating thermal data into mobile applications. Special attention is given to the challenges of mobile implementation, such as hardware limitations, real-time processing, and accuracy in temperature measurement. Additionally, the study explores potential solutions, including AIbased image enhancement, cloud-based computing, and optimised algorithms for efficient thermal data analysis. The findings highlight the importance of balancing computational efficiency with diagnostic accuracy to ensure the reliability and effectiveness of mobile thermography applications.

关键词： optical filters Image segmentation Accuracy Biomedical optical imaging Infrared imaging optical variables measurement optical imaging Mobile handsets Real-time systems Mobile applications

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