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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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A method for integrating operation and maintenance data of power information systems based on artificial intelligence technology 3

A method for integrating operation and maintenance data of p...

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3rd International Conference on Machine vision, Automatic Identification, and Detection, MVAID 2024

作者： Liu, Peng Wang, Dazhong Zhang, Yuxi Ren, Yusong Ren, Jiandong China Electric Power Research Institute Beijing100192 China

ISBN: (纸本)9781510681880

The conventional method of integrating operation and maintenance data for power information systems is often time-consuming and suffers from limited data coverage. Consequently, this paper proposes a new method for integrating such data using artificial intelligence technologies. Initially, we set a unified standard and classification guideline for the integration process of operation and maintenance data in power information systems, identifying data types based on their interrelationships. We then organize and process the operation and maintenance data, removing any inconsistencies and redundancies to minimize the impact of irrelevant data and enhance integration efficiency. Furthermore, we implement a standardized coding system to verify and encode the organized data, ensuring it corresponds accurately with the actual datasets. By leveraging deep learning algorithms on offline data, this approach not only minimizes system resource utilization but also increases the extent of effective data coverage. Experimental outcomes indicate that this integration approach not only accelerates the process but also achieves greater data inclusivity compared to traditional methods, thus offering significant practical value. © 2024 SPIE.

关键词： Data integration information fusion Artificial intelligence Deep learning Classification systems information operations Data processing Evolutionary algorithms Power grids Standards development

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Self-Powered Photonic Synapses with Rapid optical Erasing Ability for Neuromorphic visual Perception

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RESEARCH 2024年第11期7卷 0526页

作者： Li, Mingchao Li, Chen Ye, Kang Xu, Yunzhe Song, Weichen Liu, Cihui Xing, Fangjian Cao, Guiyuan Wei, Shibiao Chen, Zhihui Di, Yunsong Gan, Zhixing Nanjing Normal Univ Ctr Future Optoelect Funct Mat Sch Comp & Elect Informat Sch Artificial Intelligence Nanjing 210023 Peoples R China Southeast Univ Sch Elect Sci & Engn Joint Int Res Lab Informat Display & Visualizat Nanjing 210096 Peoples R China Shenzhen Univ Nanophoton Res Ctr Shenzhen Key Lab Microscale Opt Informat Technol Shenzhen 518060 Peoples R China Taiyuan Univ Technol Coll Elect Informat & Opt Engn Key Lab Adv Transducers & Intelligent Control Syst Minist Educ & Shanxi Prov Taiyuan 030024 Peoples R China

Photonic synapses combining photosensitivity and synaptic function can efficiently perceive and memorize visual information, making them crucial for the development of artificial vision systems. However, the development of high-performance photonic synapses with low power consumption and rapid optical erasing ability remains challenging. Here, we propose a photon-modulated charging/discharging mechanism for self-powered photonic synapses. The current hysteresis enables the devices based on CsPbBr3/solvent/carbon nitride multilayer architecture to emulate synaptic behaviors, such as excitatory postsynaptic currents, paired-pulse facilitation, and long/short-term memory. Intriguingly, the unique radiation direction-dependent photocurrent endows the photonic synapses with the capability of optical writing and rapid optical erasing. Moreover, the photonic synapses exhibit exceptional performance in contrast enhancement and noise reduction owing to the notable synaptic plasticity. In simulations based on artificial neural network (ANN) algorithms, the pre-processing by our photonic synapses improves the recognition rate of handwritten digit from 11.4% (200 training epochs) to 85% (similar to 60 training epochs). Furthermore, due to the excellent feature extraction and memory capability, an array based on the photonic synapses can imitate facial recognition of human retina without the assistance of ANN.

关键词： Face recognition

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Efficient G-Skyline queries based on skyline layer batch processing 3

Efficient G-Skyline queries based on skyline layer batch pro...

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3rd International Symposium on Computer Applications and information systems, ISCAIS 2024

作者： Huang, Rongyue Xiamen University Tan Kah Kee College Xiamen China

ISBN: (纸本)9781510681316

Skyline query is a prevalent multi-objective optimization problem designed to identify points in a given dataset that are not dominated by any other points. Although it traditionally emphasizes the analysis of individual points, real-life scenarios often demand consideration of combined queries, given the necessity for optimal combinations. In addressing this, we explore the Skyline query algorithm with a focus on grouping, presenting an efficient G-Skyline query algorithm. Our approach involves a streamlined batch processing algorithm that groups all points to compute the skyline points for the initial l layers. Experimental results demonstrate that our algorithms outperform previous work in terms of speed. © 2024 SPIE.

关键词： Multiobjective optimization

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Interferometer response characterization algorithm for multi-aperture Fabry-Perot imaging spectrometers

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OPTICS EXPRESS 2023年第14期31卷 23066-23085页

作者： Picone, Daniele Gousset, Silvere Dalla Mura, Mauro Ferrec, Yann Le Coarer, Etienne Univ Grenoble Alpes GIPSA lab CNRS Grenoble INP F-38000 Grenoble France Univ Grenoble Alpes CNRS IPAG F-38000 Grenoble France Inst Univ France IUF F-75005 Paris France Off Natl Etud & Rech Aerosp DOTA BP 80100Chemin Huniere F-91123 Palaiseau France

In recent years, the demand for hyperspectral imaging devices has grown significantly, driven by their ability of capturing high-resolution spectral information. Among the several possible optical designs for acquiring hyperspectral images, there is a growing interest in interferometric spectral imaging systems based on division of aperture. These systems have the advantage of capturing snapshot acquisitions while maintaining a compact design. However, they require a careful calibration to operate properly. In this work, we present the interferometer response characterization algorithm (IRCA), a robust three-step procedure designed to characterize the transmittance response of multi-aperture imaging spectrometers based on the interferometry of Fabry-Perot. Additionally, we propose a formulation of the image formation model for such devices suitable to estimate the parameters of interest by considering the model under various regimes of finesse. The proposed algorithm processes the image output obtained from a set of monochromatic light sources and refines the results using nonlinear regression after an ad-hoc initialization. Through experimental analysis conducted on four different prototypes from the Image SPectrometer On Chip (ImSPOC) family, we validate the performance of our approach for characterization. The associated source code for this paper is available from Zenodo (http://***/10.5281/zenodo.7978514).& COPY;2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

关键词： Hyperspectral imaging Image processing algorithms Imaging systems Medical imaging optical components optical design

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A target-oriented method for dividing the effective region of laser interference

A target-oriented method for dividing the effective region o...

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2023 International Conference on Computer Graphics, Artificial Intelligence, and Data processing, ICCAID 2023

作者： Hu, Jing Lv, SiQi Ren, LiJun Ren, Jie Zhong, WeiWei Ouyang, Yan He, Jia National Key Laboratory of Science and Technology on Multi-Spectral Information Processing Wuhan China Huazhong Univ. of Science and Technology Wuhan China Air Force Early Warning Academy Wuhan China Chinese People s Liberation Army Troops 95841 China

ISBN: (纸本)9781510677685

Laser interference can interfere with target detection systems to achieve the goal of protecting the target. For example, it can obscure the target and change information such as brightness and contrast in the surrounding region of the interference zone. Therefore, it is necessary to analyze the impact of laser interference on target detection algorithms and evaluate the anti-interference performance of the algorithm. This paper analyzes the impact of laser interference on two target detection algorithms, Faster-RCNN and YOLO-V3, from two perspectives: target occlusion rate and target similarity. Then, a target-oriented method for dividing the effective region of laser interference (TODERLI) is proposed. The effectiveness of the algorithm is verified through experiments. © 2024 SPIE.

关键词： Signal detection

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Solar patrol observatory at the Silesian University of Technology

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JOURNAL OF ASTRONOMICAL TELESCOPES INSTRUMENTS AND systems 2023年第2期9卷

作者： Popowicz, Adam Swoboda, Franciszek Lasota, Slawomir Fiolka, Jerzy Orlov, Valeri Bernacki, Krzysztof Rudawy, Pawel Silesian Tech Univ Dept Elect Elect Engn Gliwice Poland Polskie Towarzystwo Milosnikow Astronomii Gliwice Poland Univ Nacl Autonoma Mexico Inst Astron Mexico City Mexico Univ Wroclaw Astron Inst Wroclaw Poland

The Silesian University of Technology Observatories (SUTO) group's solar patrol station, SUTO Solar, is designed to collect patrol images of the Sun. The observatory is operated remotely and equipped with a 60-mm Lunt telescope for imaging in the Ha 656.28 nm hydrogen line and an 80-mm SkyWatcher refractor for imaging in the continuum centered at 540 nm. Both telescopes use complementary metal-oxide-semiconductor (CMOS) cameras. A set of environmental sensors measuring temperature, humidity, and pressure provide information about the optical instruments. Real-time full-disk images and archival data are shared via a dedicated web page. In future work, low-resolution images generated by SUTO Solar will be used as training datasets for dedicated machine learning algorithms designed to enhance images acquired by small instruments. (c) 2023 Society of Photo-optical Instrumentation Engineers (SPIE)

关键词： Sun telescopes image processing

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Method for background replacement of certification photos

Method for background replacement of certification photos

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2024 International Conference on Optics, Electronics, and Communication Engineering, OECE 2024

作者： Chen, Xu Zhang, Jihong Du, Yufei Sha, Zihuan Qiu, Rongfei Xu, Zezhong School of Computer Science and Information Engineering Changzhou Institute of Technology Jiangsu Changzhou213032 China

ISBN: (纸本)9781510685437

In order to overcome defects resulted from replacing the photo background color, an improved method is proposed for background replacement. The α-values in the alpha matte are transformed to enhance the details in the transition area. The new photo is composited by comprehensively considering the foreground portrait, new background, old background and the alpha matte. The experimental results show that the foreground portrait appears clearer and more complete, and the transition area between the foreground and background is more harmonious and more natural. © 2024 SPIE.

关键词： Color Opacity Computer science Engineering Image processing Image processing algorithms and systems Image processing software Image segmentation information science

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Vehicle Number Plate Recognition And information Access System

Vehicle Number Plate Recognition And Information Access Syst...

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2024 International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI, ICSCAI 2024

作者： Mane, Pradeep B. Patil, Varsha Kiran Paithankar, Mayur R. Kotgire, Mallikarjun M. Shah, Samveg S. Dept. Electronics and Telecommunication AISSMS Institute of Information Technology Pune India

ISBN: (纸本)9798350355338

Addressing the growing challenges posed by increasing vehicles and stringent traffic violations, many vehicle number plates go undetected while passing through toll booths and traffic lights. Thus it creates the need for a vehicle number plate recognition system. Existing systems employing ANPR algorithms utilize MATLAB and K-Nearest neighbour algorithms for image processing. Drawbacks include limitations in adapting to dynamic environments, Real time recognition, handling multiple vehicles, slow processing speeds, incapability of multiple object detection in single frame. The paper focuses on Automatic Number Plate Recognition (ANPR), employing specialized cameras and advanced image processing and using YOLOv8 for object detection and extracting license plate information from video feeds using EasyOCR. The noisy data generated during character recognition is filtered out using Regex based algorithm. The system integrates with centralized databases for real-time vehicle information access for users. The same database is used to automate e-challan updation, contributing to traffic management by swiftly issuing fines for rule violations. The proposed video-based processing system achieves number plate detection using YOLOv8 and storage of vehicle number plates in a centralized MongoDB database with an accuracy achieved of 96% in license plate detection and reduces noisy data using algorithm. It also enables real-time data retrieval through a user interface using Reactjs as frontend and is also connected to the MongoDB database for precise and user-friendly access in modern traffic systems. © 2024 IEEE.

关键词： optical character recognition

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Proposed Different Signal processing Tools for Efficient optical Wireless Communications

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Computers, Materials & Continua 2022年第5期71卷 3293-3318页

作者： Hend Ibrahim Abeer D.Algarni Mahmoud Abdalla Walid El-Shafai Fathi E.Abd El-Samie Naglaa F.Soliman Department of Electronics and Communications Engineering Faculty of EngineeringZagazig UniversityZagazig44519Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh 11586Saudi Arabia

optical Wireless Communication(OWC)is a new trend in communication systems to achieve large bandwidth,high bit rate,high security,fast deployment,and low *** basic idea of the OWC is to transmit data on unguided media with *** system requires multi-carrier modulation such as Orthogonal Frequency Division Multiplexing(OFDM).This paper studies optical OFDM performance based on Intensity Modulation with Direct Detection(IM/DD)*** system requires a non-negativity *** paper presents a framework for wireless optical OFDM system that comprises(IM/DD)with different forms,Direct Current biased optical OFDM(DCO-OFDM),Asymmetrically Clipped optical OFDM(ACO-OFDM),Asymmetrically DC-biased optical OFDM(ADO-OFDM),and *** also considers channel coding as a tool for error control,channel equalization for reducing deterioration due to channel effects,and investigation of the turbulence *** evaluation results of the proposed framework reveal enhancement of *** performance of the IM/DD-OFDM system is investigated over different channel models such as AWGN,log-normal turbulence channel model,and ceiling bounce channel *** simulation results show that the BER performance of the IM/DD-OFDM communication system is enhanced while the fading strength is *** results reveal also that Hamming codes,BCH codes,and convolutional codes achieve better BER ***,two algorithms of channel estimation and equalization are considered and *** algorithms include the Least Squares(LS)and the Minimum Mean Square Error(MMSE).The simulation results show that the MMSE algorithm gives better BER performance than the LS algorithm.

关键词： optical communication systems OWC IM/DD OFDM MMSE LS ADO-OFDM DCO-OFDM ACO-OFDM

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