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

共 247 条记录，以下是1-10 订阅

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optical modulator based on 2D metal-organic framework single crystal with light driven anisotropy 3

Optical modulator based on 2D metal-organic framework single...

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conference on Photosensitive Materials and their Applications iii

作者： Kenzhebayeva, Yuliya A. Milichko, Valentine A. ITMO Univ Sch Phys & Engn St Petersburg 197101 Russia Univ Lorraine Inst Jean Lamour UMR CNRS 7198 F-54011 Nancy France

ISBN: (纸本)9781510673496;9781510673489

The structural transformations (STs) in metal-organic frameworks (MOFs) have routed a promising possibilities to use them for data processing and information encoding. However, in order to be applicable in real life devices, such systems encounter a problem of low speed rates (kappa) and poor repeatability. In our research, we report on a flexible 2D MOF single crystals possessing light driven structural anisotropy with fast (5000 s(-1)) and highly repeatable (over 10(4) cycles of ST at ambient conditions) optical modulation. The confirmed stability of such MOF-based optical modulator during 1 year shed light on the design of new family of functional optical materials for information technology.

关键词： metal-organic frameworks data processing structural transformation optical modulator

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Automation of optical tweezers: an enabler for single cell analysis and diagnostic 3

Automation of optical tweezers: an enabler for single cell a...

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conference on Biophotonics in Point-of-Care iii

作者： Jorge, Pedro Teixeira, Joana Rocha, Vicente Ribeiro, Jose Silva, Nuno INESC TEC Rua Campo Alegre 687 P-4169007 Porto Portugal Univ Porto Fac Ciencias Dept Fis & Astron Rua Campo Alegre 687 P-4169007 Porto Portugal Univ Porto Dept Chem & Biochem CIQUP IMS Fac Sci P-4169007 Porto Portugal

ISBN: (纸本)9781510673359;9781510673342

Sensing at the single cell level can provide insights into its dynamics and heterogeneity, yielding information otherwise unattainable with traditional biological methods where average population behavior is observed. In this context, optical tweezers provide the ability to select, separate, manipulate and identify single cells or other types of microparticles, potentially enabling single cell diagnostics. Forward or backscatter analysis of the light interacting with the trapped cells can provide valuable insights on the cell optical, geometrical and mechanical properties. In particular, the combination of tweezers systems with advanced machine learning algorithms can enable single cell identification capabilities. However, typical processing pipelines require a training stage which often struggles when trying to generalize to new sets of data. In this context, fully automated tweezers system can provide mechanisms to obtain much larger datasets with minimum effort form the users, while eliminating procedural variability. In this work, a pipeline for full automation of optical tweezers systems is discussed. A performance comparison between manually operated and fully automated tweezers systems is presented, clearly showing advantages of the latter. A case study demonstrating the ability of the system to discriminate molecular binding events on microparticles is presented.

关键词： optical tweezers single cell automation machine learning

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Numerical Performance Evaluation of 1 − 2 Sparse Reconstruction Using optical Analog Circuit

Numerical Performance Evaluation of 1 − 2 Sparse Reconstruc...

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2023 Asia Pacific Signal and information processing Association Annual Summit and conference, APSIPA ASC 2023

作者： Furusawa, Soma Hayashi, Kazunori Kameda, Kaito Hayakawa, Ryo Graduate School of Informatics Kyoto University Kyoto Japan Graduate School of Engineering Science Osaka University Osaka Japan

ISBN: (纸本)9798350300673

Iterative shrinkage thresholding algorithm (ISTA), fast ISTA (FISTA) and alternating direction method of multipliers (ADMM) based algorithm are well known convex optimization algorithms based on proximal splitting for 1 − 2 optimization problem in compressed sensing. In our previous study, aiming at the implementation with optical analog devices, we have proposed constant inertial FISTA (CIFISTA) and an approximated ADMM based algorithm, which do not require the operation of division. In this paper, we consider to realize those algorithms with optical analog devices and show concrete configurations of analog circuits using optical devices. We have conducted computer experiments to evaluate the performance of each algorithm, taking into account the effects of the additive noise introduced by optical amplifiers assuming the implementation using optical devices for common optical fiber communications systems. From the numerical results, it has been confirmed that both the proposed CIFISTA and the approximated ADMM based algorithm can achieve faster convergence than ISTA, while the degradation of the steady state mean squared error (MSE) due to the circuit noise is much smaller than that of the conventional ADMM algorithm. © 2023 IEEE.

关键词： Iterative methods

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Object detection algorithm based on residual deformable convolution pyramid 4

Object detection algorithm based on residual deformable conv...

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4th International conference on Computer Vision and Pattern Analysis, ICCPA 2024

作者： Huang, Bin Wang, Sanqian Li, Linjie Fu, Xiang Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang*** China School of Software Nanchang Hangkong University Nanchang*** China

ISBN: (纸本)9781510682528

Considering the challenges associated with robots in optoelectronic imaging applications, typically require real-time and accurate recognition and localization of targets, especially in complex environments. Due to the potential challenges of noise, blurring, or dense targets in the images obtained by optoelectronic imaging systems, traditional object detection algorithms may face issues such as semantic information loss and difficulty in detecting small targets. By introducing residual deformable convolution structures, feature representation can be enhanced in optoelectronic imaging systems, and the shape of the convolution kernel can be dynamically adjusted to adapt to the non rigid deformation of the target, thereby better capturing the detailed features of small targets. Experimental results exhibit that RAFPN enhances the mAP of object detection algorithms RetinaNet, Faster R-CNN, and GFL by 1.2%, 0.9%, and 1.1% respectively on the MS COCO dataset, effectively enhancing the performance of object detection algorithms in optoelectronic imaging. © 2024 SPIE.

关键词： Optoelectronic devices

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Scheduling algorithm for fidelity of quantum gate circuits 3

Scheduling algorithm for fidelity of quantum gate circuits

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3rd International conference on Electronic information Engineering and Data processing, EIEDP 2024

作者： Liu, Xudong Xu, Jinchen Lian, Hang Information Engineering University Zhengzhou450001 China

ISBN: (纸本)9781510680531

As quantum computing technology matures, the availability and performance of quantum devices are steadily improving. However, in the NISQ (Noisy Intermediate-Scale Quantum) era, the quantum bit error rate caused by quantum noise remains a significant constraint on computational accuracy and reliability. In quantum operating systems, quantum task scheduling is a core technology crucial for fully leveraging the performance potential of quantum processors. Currently, most multi-processor scheduling algorithms focus on task load balancing and do not directly consider the characteristics of quantum circuits and the differentiated error rates of quantum computing backends. In quantum computing, the impact of noise errors in single-qubit gates, two-qubit gates, and measurement gates on the fidelity of quantum gate circuits is crucial. Therefore, intelligently matching quantum tasks with the characteristics of backend processors to optimize computational accuracy is an urgent problem to be addressed. This paper proposes a new quantum task scheduling algorithm, which matches tasks with backends based on the weight of single-qubit gates, two-qubit gates, and measurement gates in quantum circuits, as well as the error rate characteristics of each quantum computing backend. Experimental results show that the proposed scheduling algorithm for improving the fidelity of quantum gate circuits outperforms static load balancing scheduling algorithms, resulting in a 4.39% increase in the fidelity of quantum tasks. © 2024 SPIE.

关键词： Scheduling algorithms

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Double-exponential trapezoidal shaping filtering algorithm based on FPGA 4

Double-exponential trapezoidal shaping filtering algorithm b...

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4th International conference on Advanced algorithms and Signal Image processing, AASIP 2024

作者： Wang, Chaoya Qu, Jinhui Li, Lang Yang, Hua Pan, Anyuan Wang, Shaofei Tang, Bin Zhang, Ying Zhi, Chao Chongqing University of Technology Chongqing Key Laboratory of Optical Fibre Sensing and Photodetection Chongqing400054 China East China University of Technology Nanchang China High-tech Enterprise Research and Development Centre for High-grade Servo Numerical Control System Zhejiang Province Jiaxing China

ISBN: (数字)9781510682818

ISBN: (纸本)9781510682801

With the rapid development of high-precision and high-speed ADC devices, traditional analog processing methods for nuclear pulse signals have gradually exited the historical stage. Digitizing nuclear pulse signals has become the main research direction in multi-channel nuclear energy spectrum measurement systems. The trapezoidal shaping filtering algorithm, as the most used nuclear pulse shaping algorithm, has a certain noise suppression capability. This paper studies the double-exponential trapezoidal shaping filtering method based on FPGA in practical applications and explores its role in further eliminating pile-up effects under high counting rates. © 2024 SPIE.

关键词： Wiener filtering

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Ethernet Data Distribution Service Data processing Method 2

Ethernet Data Distribution Service Data Processing Method

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2nd International conference on algorithms, Microchips, and Network Applications, AMNA 2023

作者： Wu, Yu Li, Xiaoya Hu, Huiyang China Flight Test Research Institute Testing Institute China

ISBN: (纸本)9781510664791

With the rapid development of aviation electromechanical technology, new aircraft are equipped with a large number of sensors and electronic control devices. In order to meet the data transmission requirements of avionics systems, Ethernet Data Distribution (DDS) protocol has gradually become the standard solution for published/subscribed data in distributed real-time systems. Facing the new requirements of bus data processing using DDS protocol, starting from the characteristics and format of Ethernet DDS data recording, this paper gives the overall architecture and core processing method of the processing software. This paper analyzes the key problems of Ethernet DDS data processing, and proposes solutions for DDS bus interface control document (ICD) plane structure, multi-level parallel data processing algorithm, data detection and filtering. The method is validated and can correctly process Ethernet DDS data. © 2023 SPIE.

关键词： Ethernet

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Analysis on Different Optimization Methods, Applications, and Categories of optical Fiber Networks: A Review

Analysis on Different Optimization Methods, Applications, an...

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2023 International conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2023

作者： Dubey, Arjun Singh, Harmeet Kaur, Simarpreet Chandigarh University Department of Ece Punjab Mohali India

ISBN: (纸本)9781665474511

OFs (optical Fibers) are broadly used for information broadcast systems due to their extensive information-carrying capability and dielectric environment. The OFs network architectures that use several WLs (wavelengths) per OFs connect thousands of users in central, urban, or large-scale applications with a wide range of transmission speeds and capabilities. This article defines a detailed introduction to optical fiber networks and general phases of communication of OF (optical Fiber) procedure. The taxonomy may be based on optical fibers such as;(i) Structure, (ii) number of modes, (iii) refractive index profile, (iv) dispersion, (v) signal processing capacity (vi) Polarization. After that, it explains the merits and demerits of optical fiber networks. They studied optical wireless communications applications such as SMs (shopping malls), UW (underwater), industries, etc. Several analyses with different optimization methods such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), and Particle-Swarm Optimization (PSO) algorithms. An effective resource-allocation method is required to reduce the issue of EE (energy-efficiency) and improve the presentation of quality-of-services of the ONs (optical Networks). © 2023 IEEE.

关键词： Genetic algorithms

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An Investigation for Cursive Context-Specific Printed Script Recognition Techniques 20

An Investigation for Cursive Context-Specific Printed Script...

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20th International Multi-conference on systems, Signals and devices, SSD 2023

作者： Rafique, Humera Javid, Tariq Hamdard University Graduate School of Engineering Sciences & Information Technology Dept. of Electrical Engineering Karachi Pakistan

ISBN: (纸本)9798350332568

Selecting suitable techniques and datasets for a machine learning problem is a great challenge. This research investigates the available machine learning architectures, datasets, and software tools, for cursive context-specific printed text. Despite the existence of millions of speakers around the globe and rich literary history of more than thousands of years, it is hard to find computational linguistic works related to the Punjabi Shahmukhi script, a member of Perso-Arabic context-specific script - a low-resource language family. An investigation of related work through collected statistics inspired by the popularity and success of artificial neural networks and associated techniques have presented. The historical development of the script follows it in a literary sense and the importance and motivation in the development of optical character recognition systems, algorithms, and techniques. The paper discussed the available datasets and the need for a custom dataset. Based on recent research trends in machine learning frameworks, the work presents the most popular deep learning techniques, convolutional neural networks, and recursive neural networks for cursive context-specific scripts. This paper incorporates actual knowledge to promote research in machine learning and natural language processing disciplines and the selection of algorithms, architectures, and resources. © 2023 IEEE.

关键词： Network architecture

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Development of an Entry-Exit Decision Algorithm for Bus Passenger Counting Using Cameras 16

Development of an Entry-Exit Decision Algorithm for Bus Pass...

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2024 16th International conference on Graphics and Image processing, ICGIP 2024

作者： Nishiura, Tsubasa Yokoyama, Soichiro Yamashita, Tomohisa Kawamura, Hidenori Sato, Yoshimi Hasegawa, Rei Hirasawa, Miyuki Faculty of Information Science and Technology Hokkaido University Kita 14 Nishi 9 Kita-ku Hokkaido Sapporo060-0814 Japan C’s Lab Co. Ltd. 3 Kita 1-jo Nishi 7-chome Chuo-ku Hokkaido Sapporo060-0001 Japan

ISBN: (数字)9781510688780

ISBN: (纸本)9781510688773

In recent years, entry-exit management technologies have gained attention due to the rise of smart cities and the proliferation of IoT devices. These technologies are used not only in indoor environments like offices and retail stores but also in outdoor settings such as public transportation. Particularly in public transport, there is growing demand for Origin-Destination (OD) data collection to better understand passenger movement. In this study, we developed a system to estimate the number of passengers boarding and alighting from buses by installing cameras at the bus doors and capturing video footage of passengers. The system utilizes person detection and tracking algorithms to estimate passenger trajectories and applies a deep neural network (DNN) model to classify whether a detected individual is boarding or alighting. We introduced a DNN model for binary classification to determine whether individuals are inside or outside the bus, using bounding box and time information. By performing a grid search, we identified optimal model parameters. The system was tested using both YOLOR and the latest YOLOv10 object detectors, and the MPNTrack person tracking algorithm. The combination of YOLOv10 and the DNN model achieved an error rate of 11.7% for the entrance camera, while YOLOR and the DNN model achieved an error rate of 0.803% for the exit camera, significantly improving the accuracy over previous methods. This study demonstrates that integrating object detection, tracking, and DNN-based classification improves the accuracy of passenger counting systems, which is crucial for the effective management of public transportation systems. © 2025 SPIE.

关键词： Deep neural networks

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