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Low-cost real-time environmental noise monitoring system design and implementation

International Journal of Environmental Studies 2024年第3期81卷 1045-1057页

作者： Hamamcı, Samet Feyyaz Doğru, Ahmet Özgür Graduate School Geographical Information Technologies PhD Program Istanbul Technical University Istanbul Turkey Faculty of Civil Engineering Department of Geomatics Engineering Istanbul Technical University Istanbul Turkey

Environmental noise has a negative impact on human health and well-being. Real-time noise monitoring for effective noise control and management helps to identify noise sources and areas with high noise pollution, and potential mitigation strategies in urban planning. This paper reports work with a pilot scale system that can continuously collect noise data to assess noise levels accurately for real-time monitoring of environmental noise, focusing on hardware and software aspects and potential applications. The system permits the transfer of measurement data to the central server computer, with storage and display there, with the code written using Python. This system includes Web integration, with open source technologies to provide data access, and is based on Wi-Fi communication and a Control Card with Wi-Fi technology. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Noise pollution

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Coalitional game based resource allocation in D2D-enabled V2V communication

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Journal of Systems engineering and Electronics 2023年第6期34卷 1508-1519页

作者： MA Piming ZHAO Peng BAI Zhiquan DONG Xu YANG Xinghai KWAK Kyungsup Shandong Provincial Key Lab of Wireless Communication Technologies School of Information Science and EngineeringShandong UniversityQingdao 266237China School of Information Science and Technology Qingdao University of Science and TechnologyQingdao 266100China Graduate School of Information Technology and Telecommunications Inha UniversityIncheon 22212Korea

The joint resource block(RB)allocation and power optimization problem is studied to maximize the sum-rate of the vehicle-to-vehicle(V2V)links in the device-to-device(D2D)-enabled V2V communication system,where one feasible cellular user(FCU)can share its RB with multiple V2V *** problem is first formulated as a nonconvex mixed-integer nonlinear programming(MINLP)problem with constraint of the maximum interference power in the FCU *** the game theory,two coalition formation algorithms are proposed to accomplish V2V link partitioning and FCU selection,where the transferable utility functions are introduced to minimize the interference among the V2V links and the FCU links for the optimal RB *** successive convex approximation(SCA)is used to transform the original problem into a convex one and the Lagrangian dual method is further applied to obtain the optimal transmit power of the V2V ***,numerical results demonstrate the efficiency of the proposed resource allocation algorithm in terms of the system sum-rate.

关键词： coalitional game vehicle-to-vehicle(V2V)communication successive convex approximation(SCA) resource block(RB)allocation power allocation.

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Dynamic Routing, Spatial Channel and Spectrum Assignment (RSCSA) in Spatial Channel Networks (SCNs)

Dynamic Routing, Spatial Channel and Spectrum Assignment (RS...

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2023 Asia communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Zheng, Yu Zheng, Weichang Yang, Mingcong Zhang, Yongbing Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Japan School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan China Department of R&D Huawei Technologies Wuhan China

In this paper, we propose a dynamic RSCSA algorithm that employs a granularity switching threshold to efficiently switch between spatially bypassed and spectrally groomed space lanes depending on the request demand in... 详细信息

ISBN: (纸本)9798350312614

关键词： granularity switching threshold routing SCN technologies spatial channel and spectrum assignment

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Routing and Spectrum Assignment in Spatial Channel Network-Based Inter-Datacenter Networks

Routing and Spectrum Assignment in Spatial Channel Network-B...

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2023 Asia communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Zheng, Weichang Zheng, Yu Yang, Mingcong Yang, Kun School of Information and Communication Engineering Yangtze Delta Region Institute University of Electronic Science and Technology of China Quzhou China Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Japan Huawei Technologies Department of R&d Wuhan China School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan China

We introduce spatial channel networks (SCNs) to the interconnection of data center networks (DCNs). We propose an integer linear programming (ILP) model to solve the routing and spectrum assignment problem for SCN-bas... 详细信息

ISBN: (纸本)9798350312614

关键词： datacenter network (DCN) integer linear programming (ILP) routing and spectrum assignment Spatial channel network (SCN)

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DNN and LS Based Channel Estimation in OTFS System 23

DNN and LS Based Channel Estimation in OTFS System

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23rd IEEE International Conference on communication Technology, ICCT 2023

作者： Hu, Jiacheng Bai, Zhiquan Yang, Jikai Cai, Yueying Zhou, Di Wang, Yingxun Kwak, KyungSup School of Information Science and Engineering Shandong University Shandong Provincial Key Lab. of Wireless Communication Technologies Shandong Qingdao China School of Computer and Information Engineering Qilu Institute of Technology China Graduate School of Information Technology and Telecommunications Inha University Incheon Korea Republic of

ISBN: (纸本)9798350325959

Orthogonal time frequency space (OTFS) system transmits information in the delay-Doppler domain, and it adapts well to high-speed mobile environments and can realize channel estimation with less overhead. Channel estimation in the OTFS system is necessary for subsequent channel equalization and information recovery process, aiming to eliminate the effects, such as inter-symbol interference (ISI) and noise influence. The paper proposes an effective channel estimation for the OTFS system using deep neural network (DNN) and the least square (LS) algorithm, considering the accurate and low latency channel estimation requirement in the Internet of Vehicles, where LS algorithm is first used to perform a rough time-frequency domain channel estimation, and then the DNN model is taken to optimize the rough channel estimation. Simulation results show that the proposed method achieves more accurate channel estimation performance with low complexity and better flexibility, compared with the typical LS and linear minimum mean square error (LMMSE) scheme. © 2023 IEEE.

关键词： channel estimation deep neural network (DNN) least square (LS) orthogonal time frequency space (OTFS)

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Undersea Buried Pipeline Reconstruction Based on the Level Set and Inverse Multiquadric Regularization Method

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Journal of Ocean University of China 2022年第1期21卷 101-112页

作者： SHANG Wenjing XUE Wei XU Yidong MAKAROV Sergey B LI Yingsong College of Information and Communication Engineering Harbin Engineering UniversityHarbin 150001China Key Laboratory of Advanced Marine Communication and Information Technology Ministry of Industry and Information TechnologyHarbin 150001China Yantai Research Institute and Graduate School of Harbin Engineering University Yantai 264006China Institute of Physics Nanotechnology and TelecommunicationsHigher School of Applied Physics and Space TechnologiesPeter the Great St.Petersburg Polytechnic UniversitySt.Petersburg 195251Russia

The electric inversion technique reconstructs the subsurface medium distribution from acquired *** the basis of electric inversion,objects buried under the earth or seabed,such as pipelines and unexploded ordnance,are detected and located in a contactless ***,the process of accurately reconstructing the shape of the target object is challenging because electric inversion is a nonlinear and ill-posed *** this work,we present an inverse multiquadric(IMQ)regularization method based on the level set function for reconstructing buried *** the case of locating underwater objects,the unknown inversion area is split into two parts,the background and the pipeline with known *** geometry of the pipeline is represented based on the level set function for achieving a noiseless inversion *** obtain a binary image,the IMQ is used as the regularization term,which‘pushes’the level set function away from *** also provide an appropriate method to select the bandwidth and regularization parameters for the IMQ regularization term,resulting in reconstructed images with sharp *** simulation results and analysis show that the proposed method performs better than classical inversion methods.

关键词： inverse problems level set function inverse multiquadric regularization method buried pipeline

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TreeXGNN: can gradient-boosted decision trees help boost heterogeneous graph neural networks? 48

TreeXGNN: can gradient-boosted decision trees help boost het...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Hong, Ming-Yi Chang, Shih-Yen Hsu, Hao-Wei Huang, Yi-Hsiang Wang, Chih-Yu Lin, Che Academia Sinica Research Center for Information Technology Innovation Taiwan National Taiwan University and Academia Sinica Graduate Program of Data Science Taiwan National Taiwan University Graduate Institute of Communication Engineering Taiwan National Taiwan University Department of Electrical Engineering Taiwan

ISBN: (纸本)9781728163277

Graph neural networks are a promising deep learning method that can apply graph structures to various tasks. In real-world scenarios, we often have heterogeneous graphs, wherein different node and edge types capture complex interactions between nodes. High-dimensional node features provide rich information about the target nodes. Conventional heterogeneous graph neural networks (HGNN) focus more on graph structures than node features and may have difficulties extracting knowledge from complex node features. In this study, we propose a novel framework, the tree-boosted heterogeneous graph neural network abbreviated as TreeXGNN, which could efficiently and automatically extract target node features via gradient-boosted decision trees (GBDT). It integrates community structure information with proper fusion modules and a shared feature space design on HGNN. We achieved state-of-the-art performance on the three well-known heterogeneous graph benchmark datasets, IMDB, DBLP, and ACM, and significantly improved performance compared to previous studies. Our work paves the foundation for integrating tree-based models to boost HGNNs for general community analysis. © 2023 IEEE.

关键词： Classification (of information)

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First Demonstration of HZO-LNOI Integrated Ferroelectric Electro-Optic Modulator and Memory to Enable Reconfigurable Photonic Systems

First Demonstration of HZO-LNOI Integrated Ferroelectric Ele...

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2023 International Electron Devices Meeting, IEDM 2023

作者： Xu, Zefeng Chen, Chun-Kuei Lin, Hong-Lin Gao, Yuan Ke, Wei Xu, Baochang Dmitriev, Pavel Arbiz, Carlan Zamburg, Evgeny Touzard, Steven Cai, Xinlun Lee, James Venkatesan, Suresh Danner, Aaron Thean, Aaron Voon-Yew Department of Electrical and Computer Engineering Singapore Nus Graduate School Integrative Sciences and Engineering Program Singapore 117583 Singapore School of Electronics and Information Technology 117583 Singapore Centre for Quantum Technologies Nus Singapore Poet Technologies Canada Sun Yat-Sen University 510275 China

ISBN: (纸本)9798350327670

We have successfully demonstrated, for the first time, an innovative back-end-of-line (BEOL) compatible electro-optic modulator and memory (EOMM) based on Lithium Niobate on Insulator (LNOI) micro-ring resonator (MRR) integrated with Ferroelectric Hafnium Zirconate Hf0.5Zr0.5O (HZO) non-volatile analog memory. High non-volatile memory and modulation performances are both achieved in a single compact device, exhibiting high extinction ratio of 13.3 dB, excellent efficiency of 66pm/V, stable nine-state switching, record-high endurance exceeding 109 cycles. This is accomplished by utilizing Pockels effect in LNOI, induced by electric-field effect from remnant HZO ferroelectric polarization. We studied the system implementation of reconfigurable chiplet-interposer photonic interconnect, enabled by the EOMM and EOMM with hybrid thermal-optical modulation. Our model shows a potential 70% energy efficiency improvement over conventional electrical interposer interconnect. We have also tested the integration of the EOMM with POET technologies' 400G Tx/Rx optical interposer chip and studied a limited scale demonstration of the EOMM device. © 2023 IEEE.

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Overview of Versatile Video Coding (H.266/VVC) and Its Coding Performance Analysis

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IEIE Transactions on Smart Processing and Computing 2023年第2期12卷 122-154页

作者： Lee, Minhun Song, HyeonJu Park, Jeeyoon Jeon, Byeungwoo Kang, Jungwon Kim, Jae-Gon Lee, Yung-Lyul Kang, Je-Won Sim, Donggyu Department of Computer Engineering Kwangwoon University Seoul Korea Republic of Department of Computer Engineering Sejong University Seoul Korea Republic of Department of Electrical and Computer Engineering Sungkyunkwan University Kyunggi-do Korea Republic of Communication and Media Research Laboratory Electronics and Telecommunications Research Institute Deajeon Korea Republic of School of Electronics and Information Engineering Korea Aerospace University Kyunggi-do Korea Republic of Department of Electronic and Electrical Engineering Graduate Program in Smart Factory Ewha Womans University Seoul Korea Republic of

Versatile Video Coding (H.266/VVC) is the newest video coding standard jointly developed by the Joint Video Experts Team (JVET), which is organized by the ITU-T Video Coding Experts Group (VCEG) and the ISO/IEC Moving Picture Experts Group (MPEG). H.266/VVC provides about 40% bitrate reduction compared with High Efficiency Video Coding (H.265/HEVC) for the same visual quality. This paper introduces in detail the core structure of H.266/VVC by highlighting its features within block partitioning structure, intra/inter prediction, transform, quantization, and in-loop filtering, compared to its predecessor (H.265/HEVC). H.266/VVC yields significantly improved the coding performance, but it increased the computational complexity, particularly for the encoder side, which remains a problem to be tackled for successful commercialization in the future. This paper examined the statistical performance of H.266/VVC coding tools from the bitstreams encoded by the VVC test model (VTM12.0) encoder through rate-distortion optimization under the JVET common test conditions. In addition, the complexity and performance analyses are conducted on the block partitioning structure and group of picture structure. It is expected that an optimized H.266/VVC encoder can be designed and developed by minimizing the coding loss based on the analysis data. © 2023 Institute of Electronics and information Engineers. All rights reserved.

关键词： Image compression

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Predicting Microsatellite Instability from Histology Images with Dilated Neighborhood Attention Transformer in Colorectal Cancer 24

Predicting Microsatellite Instability from Histology Images ...

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24th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2024

作者： Chen, Yun-Chi Chao, Tung Phandita, Wimaya Nitya Sun, Tzu-Yu Wang, Huai-Zhi Hsieh, Yi-Hsien Hsu, Le-Yin Lin, Che Taipei Taiwan College of Bioresources and Agriculture NTU Taipei Taiwan National Taiwan University of Science and Technology Department of Computer Science and Information Engineering Taipei Taiwan Graduate Institute of Communication Engineering NTU Taipei Taiwan NTU Data Science Degree Program Taipei Taiwan NTU Department of Electrical Engineering Taipei Taiwan Center for Advanced Computing and Imaging in Biomedicine NTU Taipei Taiwan NTU Smart Medicine and Health Informatics Program Taipei Taiwan

ISBN: (纸本)9798331518622

Microsatellite instability (MSI) is a pivotal genetic marker influencing the efficacy of immunotherapy in colorectal cancer. Traditional MSI examination often requires additional genetic or immunohistochemical tests, whereas histology images, widely available in colorectal cancer diagnosis, offer a valuable alternative for MSI prediction. Although Transformer-based models have demonstrated promising outcomes in predicting MSI from histology images, they are hampered by traditional local attention mechanisms that struggle to capture long-range interdependencies and establish a comprehensive global receptive field. In this study, we introduce DiNAT-MSI, a novel framework for histology-based MSI prediction that incorporates the Dilated Neighborhood Attention Transformer (DiNAT). This model enhances global context recognition and substantially expands receptive fields, all without additional computational burden. Our results demonstrate that DiNAT-MSI achieves a superior patientwise AUROC compared to ResNet18 and Swin Transformer, along with commendable explainability. Our work not only illustrates a more accessible diagnostic tool for leveraging histological data but also underscores the potential of Transformerbased models with sophisticated attention designs in advancing precision medicine for colorectal cancer patients. © 2024 IEEE.

关键词： Diseases

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