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2024 Frontiers in Optics, FiO 2024

作者： Geng, Wenpu Zeng, Zhi Liu, Weiwei Pan, Zhongqi Yue, Yang Institute of Modern Optics Nankai University Tianjin300350 China School of Information and Communications Engineering Xi'an Jiaotong University Xi'an710049 China Department of Electrical & Computer Engineering University of Louisiana at Lafayette LafayetteLA70504 United States

A tapered fiber with dual ring-cores is proposed to achieve broadband and flat negative dispersion for vortex modes. The dispersion curve of the HE21 mode features © Optica Publishing Group 2024, © 2024 The ... 详细信息

关键词： Dispersions

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IoT-Based Smart Irrigation System in Aquaponics Using Ensemble Machine Learning 1

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6th International Conference on Soft Computing and Signal Processing, ICSCSP 2023

作者： Singh, Aishani Bajaj, Dhruv Safa, M. Arulmurugan, A. John, A. Department of Computing Technologies SRM Institute of Science and Technology Kattankulathur Chennai India Department of Networking and Communications SRM Institute of Science and Technology Kattankulathur Chennai India Department of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan

ISBN: (数字)9789819984510

ISBN: (纸本)9789819984503

Aquaponics is a sustainable farming method that combines aquaculture and hydroponics to grow plants and fish in a closed-loop system. In this research paper, an irrigation system based on aquaponics is proposed, which uses real-time sensor data from the fish tank and crop soil to improve the efficiency of the system. The system is designed to make informed decisions about crop irrigation needs by visualizing the data for analytics. The study compares the accuracy of three classification algorithms, KNN, Naive Bayes, and ANN, to decide when to irrigate the soil based on real-time sensor data. The proposed irrigation system includes two sets of sensors, one for the fish tank and the other for the crop soil, which is processed by an Arduino board and sent to Adafruit’s cloud platform for visualization and analytics. This cloud-based platform allows easy access to real-time data, enabling efficient monitoring and control of the irrigation system. Additionally, the study visualizes the results obtained from using regular water and lake water in the aquaponics system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Hydroponics

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A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator Networks

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IEEE Transactions on Wireless communications 2025年第6期24卷 4981-4995页

作者： Zhang, Haocheng Wang, Wei Zhou, Hao Lu, Zhiping Li, Ming Dalian University of Technology School of Information and Communication Engineering Dalian116024 China McGill University Department of Computer Science MontréalQCH3A 0G4 Canada China Information Communication Technologies Group Corporation State Key Laboratory of Wireless Mobile Communications Beijing100191 China

As reconfigurable intelligent surfaces (RIS) emerge as a pivotal technology in the upcoming sixth-generation (6G) networks, its deployment within practical multiple operator (OP) networks presents significant challenges, including the coordination of RIS configurations among OPs, interference management, and privacy maintenance. A promising strategy is to treat RIS as a public resource managed by an RIS provider (RP), which can enhance resource allocation efficiency by allowing dynamic access for multiple OPs. However, the intricate nature of coordinating management and optimizing RIS configurations significantly complicates the implementation process. In this paper, we propose a hierarchical deep reinforcement learning (HDRL) approach that decomposes the complicated RIS resource optimization problem into several subtasks. Specifically, a top-level RP-agent is responsible for RIS allocation, while low-level OP-agents control their assigned RISs and handle beamforming, RIS phase-shifts, and user association. By utilizing the semi-Markov decision process (SMDP) theory, we establish a sophisticated interaction mechanism between the RP and OPs, and introduce an advanced hierarchical proximal policy optimization (HPPO) algorithm. Furthermore, we propose an improved sequential-HPPO (S-HPPO) algorithm to address the curse of dimensionality encountered with a single RP-agent. Experimental results validate the stability of the HPPO algorithm across various environmental parameters, demonstrating its superiority over other benchmarks for joint resource optimization. Finally, we conduct a detailed comparative analysis between the proposed S-HPPO and HPPO algorithms, showcasing that the S-HPPO algorithm achieves faster convergence and improved performance in large-scale RIS allocation scenarios. © 2025 IEEE. All rights reserved.

关键词： Markov processes

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Correlation-Based Machine Learning Techniques for Channel Estimation with Fluid Antennas

Correlation-Based Machine Learning Techniques for Channel Es...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Shuyan Ji Constantinos Psomas John Thompson Institute for Digital Communications School of Engineering University of Edinburgh Department of Electrical and Computer Engineering University of Cyprus

Fluid antennas (FAs) enable the reconfigurability of systems by moving between predefined locations, known as "ports". This is a promising concept for sixth generation (6G) mobile communications. To make full advantage of FAs, each port needs to estimate the channel, which requires enormous estimation overhead. We study how machine learning techniques can recover the complete channel from measurements at a few predefined ports. The stability of correlation between ports is crucial to the robustness of the network. However, the correlation varies in practice as the propagation environment changes. To address this challenge, we design dedicated sub-networks for different correlation conditions instead of training a single network for all correlation conditions. We also propose a hard selection approach for these sub-networks, which dynamically adjusting the number of ports that need to be estimated for different correlation conditions. Simulation results show that compared with a single neural network, the proposed hard selection approach achieves comparable performance while saving 17% of the estimation overhead.

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Identification of Heart Diseases using Novel Machine Learning Method 2

Identification of Heart Diseases using Novel Machine Learnin...

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2nd IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2023

作者： Veeranjaneyulu, Rayavarapu Boopathi, Sampath Narasimharao, Jonnadula Gupta, Keerat Kumar Reddy, R. Vijaya Kumar Ambika, R. Pace Institute of Technology and Sciences Department of Computer Science and Engineering Andhra Pradesh Prakasam523272 India Muthayammal Engineering College Department of Mechanical Engineering Tamil Nadu Namakkal637408 India Cmr Technical Campus Medchal Department of Computer Science and Engineering Telangana Hyderabad501401 India Graphic Era Deemed to Be University Department of Civil Engineering Uttarakhand Dehradun248002 India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Vaddeswaram522502 India Psna College of Engineering and Technology Department of Electronics and Communications Engineering Tamil Nadu Dindigul624622 India

ISBN: (纸本)9798350315905

This study aims to enhance feature variety and organizationprocesses for heart disease prediction using three different approaches. The integration of machine learning perception and enhanced motion based on the dragonfly algorithm (MLP-EBMDA) has been the primary focus of the research. The suggested system has been assessed through number of factors, recall, accuracy rate, F1-score, and precision. After execution of the algorithm, the precision, f1-score, recall, accuracy, and sensitivity of the proposed MLP-EBMDA are each 87%. The accuracy of the MLP-EBMDA-based informative entropy-based random forest approach is 84 percent in predicting heart disease. This distinction can be made between patients with cardiac disease and healthy patients. © 2023 IEEE.

关键词： Machine learning

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PREDICTING FROM A DIFFERENT PERSPECTIVE IN RE-RANKING MODEL FOR INDUCTIVE KNOWLEDGE GRAPH COMPLETION

arXiv

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arXiv 2024年

作者： Iwamoto, Yuki Kaneiwa, Ken Department of Computer Network Engineering Graduate School of Informatics and Engineering The University of Electro-Communications Tokyo Japan

Rule-induction models have demonstrated great power in the inductive setting of knowledge graph completion. In this setting, the models are tested on a knowledge graph entirely composed of unseen entities. These models learn relation patterns as rules by utilizing subgraphs. Providing the same inputs with different rules leads to differences in the model’s predictions. In this paper, we focus on the behavior of such models. We propose a re-ranking-based model called ReDistLP (Re-ranking with a Distinct Model for Link Prediction). This model enhances the effectiveness of re-ranking by leveraging the difference in the predictions between the initial retriever and the re-ranker. ReDistLP outperforms the state-of-the-art methods in 2 out of 3 benchmarks. Copyright © 2024, The Authors. All rights reserved.

关键词： Knowledge graph

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Enhancing the Sum Rate in Massive MIMO Optical Wireless Communication System by Using MMSE Precoding 3

Enhancing the Sum Rate in Massive MIMO Optical Wireless Comm...

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3rd International Conference on Communication, Computing and Digital Systems, C-CODE 2023

作者： Ali, Zakir Furqan, Muhammad Jan, Qasim Southeast University National Mobile Communications Research Laboratory Nanjing210096 China University Lahore Campus Department of Computer Sciences Bahria54000 Pakistan Department of Software Engineering Islamabad44000 Pakistan Comsats University Islamabad Department of Computer Science Attock Campus Attock43600 Pakistan

ISBN: (纸本)9798350332391

We investigate an optical wireless communications system based on massive multiple-input multiple-output (MIMO). Through a transmit lens, the optical base station with its huge optical transmitters communicates with the user terminals (UTs). We create a channel model for optical massive MIMO transmissions and examine light refraction caused by lenses, with an emphasis on LED transmitters. We formulate the sum rate maximization problem and convert it into a convex optimization problem to get a closed-form solution. MMSE is used to increase the sum rate and Karush-Kuhn-Tucker (KKT) conditions were used to solve the aforementioned problem. We study traditional precoding techniques, maximum ratio transmission (MRT), and regularized zero-forcing precoding (RZF) for an optical massive MIMO system. The proposed technique is ajoint precoder design to enhance the sum rate. The simulation results show that the proposed MMSE precoder design outperforms MRT and RZF precoders in a massive MIMO optical wireless communication system. © 2023 IEEE.

关键词： Lenses

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An Efficient Scheme for Interference Mitigation in 6G-IoT Wireless Networks

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computers, Materials & Continua 2021年第12期69卷 3889-3902页

作者： Fahd N.Al-Wesabi Imran Khan Nadhem Nemri Mohammed A.Al-Hagery Huda G.Iskander Quang Ngoc Nguyen Babar Shah Ki-Il Kim Department of Computer Science King Khalid UniversityMuhayel AseerKSA Department of Electrical Engineering University of Engineering and TechnologyPeshawarPakistan Department of Information Systems King Khalid UniversityMayahel AseerKSA Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Communications and Computer Engineering Faculty of Science and EngineeringWaseda UniversityShinjuku-kuTokyo169-0051Japan College of Technological Innovation Zayed UniversityAbu DhabiUAE Department of Computer Science and Engineering Chungnam National UniversityDaejeon34134Korea

The Internet of Things(IoT)is the fourth technological revolution in the global information industry after computers,the Internet,and mobile communication *** combines radio-frequency identification devices,infrared sensors,global positioning systems,and various other *** sensing equipment is connected via the Internet,thus forming a vast *** these physical devices are connected to the Internet,the user terminal can be extended and expanded to exchange information,communicate with anything,and carry out identification,positioning,tracking,monitoring,and triggering of corresponding events on each device in the *** real life,the IoT has a wide range of applications,covering many fields,such as smart homes,smart logistics,fine agriculture and animal husbandry,national defense,and *** of the most significant factors in wireless channels is interference,which degrades the system *** the existing QR decomposition-based signal detection method is an emerging topic because of its low complexity,it does not solve the problem of poor detection ***,this study proposes a maximumlikelihood-based QR decomposition *** main idea is to estimate the initial level of detection using the maximum likelihood principle,and then the other layer is detected using a reliable *** optimal candidate is selected from the feedback by deploying the candidate points in an unreliable *** results show that the proposed algorithm effectively reduces the interference and propagation error compared with the algorithms reported in the literature.

关键词： 6G networks internet of things resource allocation optimization

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Electromagnetic Imaging of Rough Dielectric Surface Profiles using a Single-Frequency Reverse Time Migration Method

Electromagnetic Imaging of Rough Dielectric Surface Profiles...

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023

作者： Sefer, Ahmet Yapar, Ali Bagci, Hakan Division of Computer Electrical and Mathematical Science and Engineering Thuwal23955 Saudi Arabia Işik University Department of Electrical and Electronics Engineering Istanbul34980 Turkey Istanbul Technical University Department of Electronics and Communications Engineering Istanbul34469 Turkey

ISBN: (纸本)9781665442282

An electromagnetic imaging scheme, which makes use of a single-frequency reverse time migration (RTM) technique to reconstruct two-dimensional (2D) rough surface profiles from the scattered field data, is formulated and implemented. The unknown surface profile, which is expressed as a one-dimensional height function, is the interface between two dielectric media. It is assumed that the profile is illuminated from one side and the scattered fields are 'measured' along a line on this same side. RTM is used to construct a cross-correlation imaging functional that is numerically evaluated to yield an image of the investigation domain. The maxima of this functional yields an accurate reconstruction of the rough dielectric surface profile. © 2023 IEEE.

关键词： Inverse problems

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Analysis of Various Image Segmentation Techniques on Retinal OCT Images 3

Analysis of Various Image Segmentation Techniques on Retinal...

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3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Sheeba, T.M. Albert Antony Raj, S. Anand, M. Srm Institute of Science and Technology College of Science and Humanities Department of Computer Applications Chennai India Srm Institute of Science and Technology College of Engineering and Technology Department of Networking and Communications Chennai India

ISBN: (纸本)9781665462167

Image segmentation is one of the most important processes involved in image processing. Segmenting an image is breaking it up into smaller pieces, or segments. These are the areas where it is most helpful because processing the complete image would be inefficient for tasks like object recognition or image compression. Image segmentation is the process of dividing an image's elements for further processing. This article looked at a number of image segmentation techniques, including the threshold approach, edge-based method, and clustering-based method. The segmentation method that is most effective for separating images in OCT images is clustering-based segmentation. To reduce the speckle noise during preprocessing, the wiener filter approach is used. With regards to the threshold, edge-based (Sobel, Canny, Robert's), and clustering-based segmentation techniques, calculate MSE (mean square error) and PSNR (peak signal to noise ratio) values for the segmented image quality. © 2023 IEEE.

关键词： Image segmentation

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