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4th International conference on Ubiquitous Computing and Intelligent information systems, ICUIS 2024

作者： Sankara Mahalingam, M. Kumar, N. Suresh Reddy, Basireddy Sai Charan Reddy, Nalibili Venkata Suneel Kumar Govardhan, Adimulam Bontha, Harshith Sai Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamilnadu Virudhunagar India

ISBN: (纸本)9798331529635

The rapid advancements in digital assessment systems have highlighted the need for efficient, automated methods of evaluating written examination scripts. The paper presents a new framework that leverages optical Character Recognition (OCR), deep learning, as well as Natural Language processing (NLP) to automate the correction and evaluation of handwritten answer scripts. The suggested system begins by utilizing OCR to digitize handwritten responses, converting them into machine readable text. Subsequently, advanced learning frameworks, particularly Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), are employed to classify and recognize written characters with high accuracy, even in varying handwriting styles. Once digitized, the responses undergo semantic analysis and content evaluation using advanced NLP algorithms. These algorithms, integrated with transformer models like BERT (Bidirectional Encoder Representations from Transformers), evaluate the coherence, relevance, and correctness of answers by comparing them to model answers and predefined keywords. The system incorporates both syntactic and semantic matching techniques to ensure a comprehensive assessment of the answer content, while also analyzing grammar and language use. The proposed system can significantly streamline the educational assessment process, paving the way for intelligent and automated grading systems in academic and professional environments. © 2024 IEEE.

关键词： Convolutional neural networks

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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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Decentralized Target Localization in Distributed MIMO Radars 16

Decentralized Target Localization in Distributed MIMO Radars

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16th International conference on Signal processing systems, ICSPS 2024

作者： Qiu, Qinhui Li, Jie Xi, Feng School of Electronic and Optical Engineering Nanjing University of Science and Technology China

ISBN: (纸本)9781510689251

This paper addresses the problem of target estimation in distributed MIMO radars, focusing on the challenge of requiring a robust fusion center to process all the collected data. To overcome this limitation, we propose a solution based on the Alternating Direction Method of Multipliers (ADMM) that eliminates the need for a centralized fusion center. By leveraging the sparsity of target location information within the detection range, the target localization problem is reformulated as a sparse recovery problem, which is then efficiently solved using ADMM. The key innovation of the proposed approach is the transformation of the average value computation, typically required in centralized methods, into a consensus averaging problem, and subsequently into a consensus optimization problem. This transformation allows for fully decentralized processing, where each node only communicates with its neighboring nodes to reach a consensus on the estimation of target location. Simulation results demonstrate that the proposed distributed algorithm achieves performance comparable to that of semi-distributed algorithms while fully exploiting the advantages of decentralization. © 2025 SPIE.

关键词： Consensus algorithm

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Field weed classification based on modified LBP and local sparse representation

Field weed classification based on modified LBP and local sp...

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2024 International conference on Image, Signal processing, and Pattern Recognition, ISPP 2024

作者： Yang, Huan College of Computer and Information Science Chongqing Normal University Chongqing401331 China

ISBN: (纸本)9781510680425

Accurately identifying field weeds is crucial for selecting appropriate agricultural machinery and herbicides. This paper focuses on nine common weed species during the seedling stage in natural backgrounds of field vegetables, proposing a novel weed foreground segmentation method based on image processing and a new weed classification model using sparse representation classification (K_SRC). Initially, K-means clustering and threshold segmentation are applied to the a component of Lab color space to obtain binary weed images, followed by area filtering to remove interference. The binary weed image is then masked with the original image to extract clean weed images. Color features and mLBP texture features are extracted from segmented weed images to form a training sample set. KNN computes a local dictionary, and sparse coefficients are calculated using the OMP algorithm. Experimental results demonstrate a classification accuracy of 95.22% compared to four other algorithms. Additionally, this research provides new insights into the application of sparse representation in agriculture. © 2024 SPIE.

关键词： Image segmentation Education and training Feature extraction Image classification Detection and tracking algorithms Binary data Image processing algorithms and systems Reconstruction algorithms Image processing

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Algorithm for Changing the Size of a Multi-Element Aperture of a Two-dimensional Recursive-Separable Five-Stage Filter for Digital Image processing 25

Algorithm for Changing the Size of a Multi-Element Aperture ...

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25th IEEE International conference of Young Professionals in Electron devices and Materials, EDM 2024

作者： Kamenskiy, Andrey V. Kupriyanova, Kristina S. Podnebesnyy, Andrey V. Kuryachiy, Mikhail I. Borodina, Natalya Tatyana, Akaeva M. Dept. of Television and Control Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

ISBN: (纸本)9798350389234

The paper presents a description of the developed algorithm for changing the size of a multi-element aperture of a recursive-separable five-stage filter for processing digital images generated by specialized optical systems. The developed algorithm has two features: it has the ability to change the size of a multi-element aperture during use;it makes it possible to use the recursive and separable properties. These capabilities make it possible to reduce the processing time of incoming data, which has a positive effect on the efficiency of the optical-electronic imaging system used. The paper presents a block diagram of a two-dimensional recursive-separable five-stage filter, with the help of which an algorithm was developed for changing the size of a multi-element aperture, and a study of the influence of the aperture size on the performance of the developed filter was carried out. As part of the performance evaluation, the developed algorithm was compared with the classical two-dimensional convolution algorithm. Developed algorithm was tested on three test images of different sizes and formats: 1300x700 Bitmap Picture, 1200x1200 Tagged Image File, 2900x1900 Joint Photographic Experts Group. During the processing of test images, the dimensions of the multi-element aperture of the developed filter changed. As the aperture size increases, the performance evaluation results also increase. This shows that speeding up the algorithm is an actual task. However, the developed algorithm takes less time than the classical two-dimensional convolution algorithm, from which it can be concluded that the developed solution is effective for both conventional images and images from optoelectronic systems. © 2024 IEEE.

关键词： digital filters digital image processing optical-electronic systems performance real time recursively separable algorithms

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High-Speed Data processing System for optical Analog-to-Digital Converters 4

High-Speed Data Processing System for Optical Analog-to-Digi...

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4th International conference on Electronic information Engineering and Computer Communication, EIECC 2024

作者： Zhang, Ziqi Qiu, Jifang Li, Qiuyan Zhao, Zirui Wu, Jian Beijing University of Posts and Telecommunications School of Electronic Engineering Beijing China

ISBN: (纸本)9798331534622

optical Analog-to-Digital Converters (OADC) are devices that directly convert analog optical signals into digital signals. This research has designed an embedded high-speed data acquisition system for OADC using Field-Programmable Gate Arrays (FPGA). The main control chip utilizes the Xilinx Virtex UltraScale series VU9P FPGA, employs GTY IP cores for high-speed data reception, and implements algorithms for high-speed serial data input alignment. The Adsantec ANST7122-KMA flash ADC chip is used to perform the analog-to-digital conversion function. The acquired data is stored in Block RAM resources of FPGA and then uploaded to the host computer via the UART serial port. The data processing system board can synchronously collect signals from five channels. The experimental results show that the system can realize 10GSps data sampling with a sampling accuracy of 4.3 bit@1.1GHz. and continuously sample 216 points. The system integrates data acquisition, data processing, and data transmission onto a single board, offering an architecture with high integration and portability. © 2024 IEEE.

关键词： Data integration

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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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Comparative Analysis of Knuth and Babkin’s"Zero-Sum" Methods for Suppressing Individual Spectral Components 25

Comparative Analysis of Knuth and Babkin’s"Zero-Sum" Method...

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25th IEEE International conference of Young Professionals in Electron devices and Materials, EDM 2024

作者： Zhuravlev, Vjacheslav A. Ryako, Boris Ya. Federal Research Center for Information and Computational Technologies Siberian State University of Telecommunications and Information Science Novosibirsk Russia Federal Research Center for Information and Computational Technologies Novosibirsk Russia

ISBN: (纸本)9798350389234

This article is about a comparative analysis of two algorithms designed for generating zero-sum sequences, which have unique applications in signal processing, cryptography, and artificial intelligence. The research focuses on the estimation of the performance and efficiency of these algorithms under different conditions. Along with this comparison, this article aims to expand our understanding of the theoretical basics of zero-sum sequence generation. The practical application of this research is to optimize these algorithms for real-world applications, so, their efficiency in a practical way will be improved. Also, another purpose of this research is to find advantages and disadvantages in each algorithm, providing valuable information for further exploration in this important area of science and technology. By finding more information from this comparative efficiency of these algorithms, this work helps to increase knowledge in the area of development of more effective algorithms for zero-sum sequence generation. Such results can have a lot of potential applications in several areas of application, for example, communication systems and data security. © 2024 IEEE.

关键词： bit sequences coding theory Fourier sum QAM-sequences sequences with zero-sum

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Research on high accuracy classification of temperature signals based on OFDR technology and EfficientNet 4

Research on high accuracy classification of temperature sign...

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4th International conference on Advanced Manufacturing Technology and Electronic information, AMTEI 2024

作者： Shang, Chuanyin Li, Peng Tong, Zhengrong Wang, Hao Li, Sibo Tianjin Key Laboratory of Thin Film Electronics and Communication Devices Engineering Research Center for Optoelectronic Devices and Communication Technology the Ministry of Education School of Integrated Circuit Science and Engineering Tianjin University of Technology Tianjin300384 China

ISBN: (数字)9781510688247

ISBN: (纸本)9781510688230

The development of machine learning is driving revolutionary changes and unprecedented opportunities across various industries. This paper introduces a new temperature monitoring method that combines the efficient deep learning model EfficientNet with optical Frequency Domain Reflectometry (OFDR). We utilize distributed fiber-optic sensing technology based on OFDR to collect one-dimensional temperature signals under different temperature conditions, which we then transform into a two-dimensional image format suitable for machine learning processing. The dataset is subsequently trained using the EfficientNet deep learning model. The results show that the trained model achieves a high accuracy rate of 97.5% on the test dataset. This research not only demonstrates the feasibility of efficiently and accurately monitoring temperature changes but also provides new solutions and technological pathways for areas such as environmental monitoring, industrial automation, and safety systems. © 2025 SPIE.

关键词： Education and training Data modeling Performance modeling Fiber optics sensors Machine learning Matrices Fiber optics Image processing Reliability Signal processing

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Method and Algorithm of Successive Approximation Analog-to-Digital Conversion of information in Management systems 14

Method and Algorithm of Successive Approximation Analog-to-D...

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14th International conference on Advanced Computer information Technologies, ACIT 2024

作者： Petryshyn, Lubomyr Petryshyn, Mykhailo Agh University of Krakow Dept. of Enterprise Management Krakow Poland Precarpathian National University Dept. of Computer Science and Information Systems Ivano-Frankivsk Ukraine

ISBN: (纸本)9798350350036

Modeling methods and algorithms for analog-to-digital conversion of information in control systems are significant components in the development and design of devices for analog signals digitizing. This process involves several steps, including sampling, quantization, and encoding, to convert continuous signals into a digital format that can be easily manipulated and analyzed by digital *** quest to enhance the speed of converters is driven by the ever-increasing demand for rapid and efficient data processing. The research into additive successive approximation methods has yielded a novel approach: bitwise balancing. This innovative method, supported by a robust mathematical model, promises to revolutionize analog-to-digital conversion by significantly reducing the conversion time. The empirical analysis suggests that this reduction could range from 6 to 25 %, marking a substantial improvement over existing methods. This breakthrough shows not only the potential for faster data processing but also sets a new direction for the development of technical apparatuses designed for swift information form conversion. © 2024 IEEE.

关键词： additive method algorithm analog-to-digital conversion computational processes management information systems mathematical representations successive approximation

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