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2024 systems of Signals Generating and processing in the Field of on Board Communications, SOSG 2024

作者： Dymkova, S.S. Varlamov, Oleg V. Vienna Austria Moscow Technical University of Communications and Informatics Moscow Russia Institute of Radio and Information Systems Vienna Austria

ISBN: (纸本)9798350383614

The article discusses the main topics and results of the scientific conference "systems of signals generating and processing in the field of on board communications", in which leading industry experts annually exchange experience in the areas of: antennas and radio waves propagation, navigation and mathematical algorithms of an object Space orientation, radiofrequency applications, wire and optical communication and control systems, intelligent transport systems and digital signal processing in on-board radio systems. ©2024 IEEE.

关键词： Intelligent systems

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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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Frequency-domain diffusion adaptation with quantized communication 16

Frequency-domain diffusion adaptation with quantized communi...

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16th International conference on Signal processing systems, ICSPS 2024

作者： Peng, Yishu Zhang, Sheng Zhou, Zhengchun Han, Hongyu School of Information Science and Technology Southwest Jiaotong University Chengdu China School of Computer Science Sichuan Normal University Chengdu China

ISBN: (纸本)9781510689251

In energy- and bandwidth-limited networks, frequency-domain diffusion algorithms based on periodic communication are attractive candidates because of their low computational complexity and communication overhead. Nevertheless, these algorithms assume that intermediate estimates are transmitted exactly in each communication round, which is not realistic in practice. To this end, this paper proposes novel frequency-domain diffusion algorithms with quantized communication. Using the randomized quantizer to compress the shared information, we first develop the quantized frequency-domain diffusion least mean square (Q-FDLMS) algorithm. To mitigate the performance degradation incurred by quantization errors, the improved Q-FDLMS (IQ-FDLMS) algorithm is also designed. This enhanced version modifies the combination step and incorporates the moving-average scheme. Additionally, the mean-square stability conditions and steady-state error bound of the IQ-FDLMS algorithm are derived. Experiment results indicate that our proposed algorithms are superior to other competing algorithms. © 2025 SPIE.

关键词： Frequency domain analysis

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A Rule-Based Expert System for Automated Document Editing 1

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20th International conference on Computing and information Technology (IC2IT2)

作者： Varma, Sandeep Shivam, Shivam Roy, Soumya Deep Ray, Biswarup ZS Associates Pune Pune Maharashtra India

ISBN: (数字)9783031585616

ISBN: (纸本)9783031585609;9783031585616

This research paper introduces a Rule-Based Expert System designed for the automated editing of documents in PDF and PPT formats. The system employs a set of predefined rules, extracted from guideline documents using a Large Language Model (LLM), to execute tasks such as redaction of sensitive text/logo detection and annotation of text elements that deviate from prescribed font size guidelines. Following the detection and annotation process, the system further enhances documents by resizing the detected text elements based on the predefined rules. To achieve these editing tasks, the system integrates advanced image processing techniques, leveraging fine-tuned optical Character Recognition (OCR) for accurate text extraction from document images. Furthermore, Natural Language processing (NLP) algorithms are utilized to analyze and interpret textual content. The combination of image processing, OCR, NLP, and rule extraction using LLM ensures a comprehensive approach to document editing, enhancing efficiency and accuracy. The proposed system addresses the need for automated and rule-driven document editing, contributing to advancements in information security and document standardization.

关键词： Rule-based Expert System Image processing optical Character Recognition Document Sanitization Natural Language processing

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Research on the design of multi-source and multi-granularity educational information system based on deep learning

Research on the design of multi-source and multi-granularity...

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2024 International conference on algorithms, High Performance Computing, and Artificial Intelligence, AHPCAI 2024

作者： Wang, Li Shandong Institute of Commerce and Technology Shandong Jinan China

ISBN: (纸本)9781510685840

In the surge of the digital era, the role of educational information systems is increasingly prominent, serving as essential tools to enhance teaching quality and management efficiency. This paper addresses the limitations of traditional educational information systems in handling complex, multi-source data, particularly the challenges in data integration and information correlation, proposing an innovative design approach. Through deep learning technologies, notably a multi-source information correlation method based on convolutional neural networks (CNNs), this study aims to develop a system capable of effectively processing multi-source and multi-granular data within the educational domain. The system design encompasses the entire process from data collection and information correlation to system construction, striving to provide the educational sector with an efficient, intelligent information processing platform. Experimental results demonstrate significant advantages of the system in terms of educational information accuracy and processing speed, promising innovative changes for educational management and pedagogical research. © 2024 SPIE.

关键词： Data modeling Data acquisition Data processing Machine learning Neurons Convolutional neural networks

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Spatial and Temporal Evolution of Wetlands in the Yellow River Delta Based on optical Flow Algorithm

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JOURNAL OF information processing systems 2025年第1期21卷 102-113页

作者： Liu, Chao Mu, Ruolan Wang, Chuanlong Yuan, Xiuhe Miao, Sheng Qingdao Univ Technol Sch Environm & Municipal Engn Qingdao Peoples R China Qingdao Univ Technol Sch Informat & Control Engn Qingdao Peoples R China

The Yellow River Delta (YRD) wetlands are the largest coastal wetlands in China, and it serves to control soil erosion, nourish the climate and protect biodiversity. At present, due to climate change and human activities, the wetlands of the YRD are facing ecological and environmental problems such as species invasion, vegetation degradation, and biodiversity reduction. In order to study the evolution of wetland landscape types more intuitively, this paper proposed a semantic segmentation network based on the encoder and decoder structure of ResNet-18. Then, the wetland landscapes in the YRD were classified into five types by combining the Landsat series of remote sensing images. In addition, this paper used the optical flow algorithm to visualize the identification results, which can represent the evolution pattern of wetland landscape types in different years. The results of this paper have an important significance for the subsequent development planning and protection in the YRD.

关键词： Identification of Wetland Landscape Types optical Flow Algorithm ResNet Spatial and Temporal Evolution

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Fusion feature multi-objective classification algorithm based on adaptive scale feature residual network 16

Fusion feature multi-objective classification algorithm base...

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16th International conference on Signal processing systems, ICSPS 2024

作者： Hua, Chenyang Xie, Renhong Li, Peng Fang, Gan Zhao, Xianya Zhou, Maoyuan School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China

ISBN: (纸本)9781510689251

With the development of science and technology, radar has been widely used in both civil and military fields, and radar target classification and recognition is an important research direction in radar signal processing field. The traditional classification and recognition technology does not utilize all the information of echo, and the recognition rate will decrease obviously when the environment is too complicated and the SNR is low. To solve the above problems, this paper proposes three recognition algorithms. It is a fusion feature multi-objective classification algorithm based on multi-scale feature residual network (MKRN), a fusion feature multi-objective classification algorithm based on adaptive scale feature residual network (AKRN) and a fusion feature multi-objective classification algorithm based on adaptive scale feature multi-level branch residual network (AKSRN). These three algorithms introduce residual structure to avoid network degradation caused by the deepening of network depth, and use convolution kernel of different sizes to enhance the ability of the network to extract multi-scale feature information, which improves the accuracy of network classification and recognition. © 2025 SPIE.

关键词： Radar signal processing

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Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations 37

Datasets and Benchmarks for Nanophotonic Structure and Param...

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37th conference on Neural information processing systems (NeurIPS)

作者： Kim, Jungtaek Li, Mingxuan Hinder, Oliver Leu, Paul W. Univ Pittsburgh Pittsburgh PA 15261 USA

ISBN: (纸本)9781713899921

Nanophotonic structures have versatile applications including solar cells, anti-reflective coatings, electromagnetic interference shielding, optical filters, and light emitting diodes. To design and understand these nanophotonic structures, electrodynamic simulations are essential. These simulations enable us to model electromagnetic fields over time and calculate optical properties. In this work, we introduce frameworks and benchmarks to evaluate nanophotonic structures in the context of parametric structure design problems. The benchmarks are instrumental in assessing the performance of optimization algorithms and identifying an optimal structure based on target optical properties. Moreover, we explore the impact of varying grid sizes in electrodynamic simulations, shedding light on how evaluation fidelity can be strategically leveraged in enhancing structure designs.

关键词： optical properties

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Quantum image encryption algorithm based on generalized Arnold transform and Lorenz chaotic systems

Quantum image encryption algorithm based on generalized Arno...

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2024 International conference Optoelectronic information and optical Engineering, OIOE 2024

作者： Zhang, Ruqing School of Information Engineering Shanghai Maritime University Shanghai201306 China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

With the rapid development of the internet and information technology, the traditional encryption methods suffer from drawbacks such as poor processing capacity and low security, making them vulnerable to attacks. This paper presents a hybrid encryption algorithm that combines the Lorenz chaotic system and the generalized Arnold transform to enhance information security and confidentiality in digital images. The proposed quantum encryption scheme involves two stages: interfering with pixel coordinate information and grayscale values using the generalized Arnold transform, followed by spatial domain scrambling of pixel positions using the Lorenz chaotic system. MATLAB simulations demonstrate the effectiveness of this algorithm in achieving the desired confusion and diffusion of pixel values, making it a superior encryption method for cryptography. © 2025 SPIE.

关键词： Encryption algorithms

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Research on Two-Dimensional Code Cable Equipment information Extraction and Security Verification Technology Based on Image processing Algorithm

Research on Two-Dimensional Code Cable Equipment Information...

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2024 International conference on optical Communication and Optoelectronic Technology, OCOT 2024

作者： Chen, Shaoxin Xu, Mengran Bi, Weican Wei, Mianxin Guangdong Power Grid Co. Ltd. Guangzhou Huadu Power Supply Bureau Guangdong Guangzhou510800 China

ISBN: (纸本)9781510683266

This paper delves into the extraction and secure verification technology of cable equipment information based on image processing algorithms, demonstrating how the combination of high-resolution cameras and circular LED lights effectively improves image quality to adapt to complex industrial environments. The research applies Reed-Solomon error correction algorithms and other advanced decoding techniques to ensure accurate data recovery even in the case of damaged QR codes. The article also introduces the application of digital signatures and timestamps in enhancing data anti-counterfeiting and authenticity verification, greatly enhancing the security and accuracy of the system through rigorous data formatting and verification processes. The comprehensive use of these technologies significantly enhances the efficiency, security, and reliability of QR code systems in industrial applications, which is of great significance for promoting the intelligent and automated development of equipment management. © 2024 SPIE.

关键词： Reed-Solomon codes

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