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2023 International Conference on Circuit Power and Computing Technologies, ICCPCT 2023

作者： William, P. Oyebode, Oluwadare Joshua Ramu, Gandikota Gupta, Manish Alzubaidi, Laith H. Srivastava, Arun Pratap Sanjivani College of Engineering Savitribai Phule Pune University Department of Information Technology Pune India Afe Babalola University Civil and Environmental Engineering Ekiti State Ado-Ekiti Nigeria Institute of Aeronautical Engineering Department of Computer Science and Engineering Hyderabad500043 India Lovely Professional University Division of Research and Development Phagwara India The Islamic University Faculty of Engineering Najaf Iraq Lloyd Institute of Engineering and Technology Department of CSE Uttar Pradesh Greater Noida201308 India

ISBN: (纸本)9798350333244

To processing plant-wide data, it is not uncommon for there to be issues with sensors. Some examples of these issues include sensor failures, sensor calibration difficulties, sensor fouling and blockage, and connection problems between sensors, actuators, and the data management system. These problems may have an effect on the quality of the data, which will make it more difficult to implement sophisticated data-driven monitoring and control of (crucial) water operations. A method for the intelligent validation of data is provided in this article. The sensor data coming from a wastewater treatment plant are validated and verified by this process. The application for data validation has been integrated, tested, and put into production at the water utility known as Water Net. The method of validation is predicated on an anomaly detector that, in the event that an anomaly is found, combines (statistical) threshold-based procedures, (AI-based) autoencoder model predictions, and a component for data reconciliation. This occurrence repeats itself whenever an anomaly of some kind is found. In spite of the signal's volatility, the autoencoder models displayed outstanding levels of accuracy and great reconciliation performance. In addition, signals for both verified and raw data are provided in a way that is extremely near to real time to a dashboard. This keeps the dashboard up to date with the most recent information. Validated data may also be utilized as a screening tool for data that is being ingested by another AI-based model in order to monitor and intelligently manage the wastewater treatment plant, as well as to minimize greenhouse gas emissions and energy consumption while maintaining effluent water quality requirements. These goals may be accomplished while still meeting all applicable criteria. If this were done, it would be in compliance with the regulations for maintaining the effluent water's quality. © 2023 IEEE.

关键词： Wastewater treatment

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YOLO-DC: Enhancing object detection with deformable convolutions and contextual mechanism

YOLO-DC: Enhancing object detection with deformable convolut...

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Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

作者： Dengyong Zhang Chuanzhen Xu Jiaxin Chen Bin Deng Xin Liao School of Computer and Communication Engineering Changsha University of Science and Technology Changsha China School of Hydraulic and Environmental Engineering Changsha University of Science and Technology Changsha China College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (数字)9798350367331

ISBN: (纸本)9798350367348

Existing object detection methods often optimize model structure, loss functions, and data preprocessing, but enhancements via convolutional techniques are often overlooked. Additionally, increasing network depth leads to the loss of key features. This paper introduces YOLO-DC, which enhances object detection with deformable convolution and contextual mechanisms. YOLO-DC includes a Deformable Convolutional Module (DCM) and a Contextual Fusion Downsampling Module (CFD). The DCM module uses a modified deformable convolution of Multiscale Spatial Channel Attention (MSCA) to extend the receptive field and improve feature extraction. The CFD integrates contextual and local features post-downsampling, reducing information loss. Compared to YOLOv8-N, YOLO-DC-N improves average precision (AP) by 3.5%, reaching 40.8% on the Microsoft COCO 2017 dataset, with similar FPS and inference time. The model demonstrates superior performance compared to other state-of-the-art detection algorithms. The source code is available at: https://***/Object-Detection-01/***.

关键词： Convolutional codes Deformable models Convolution Source coding Data preprocessing Object detection Information processing Feature extraction Data models Detection algorithms

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Image Super-Resolution with Task Awareness by Using Multi-Branch Generative Adversarial Networks

SSRN

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SSRN 2024年

作者： Wang, Jiliang Zhou, Siwang Changsha Environmental Protection Vocational College Changsha China College of Computer Science and Electronic Engineering Hunan University Changsha China

Deep neural networks have greatly facilitated the research in the area of image super-resolution. Existing super-resolution networks work on the assumption that images are super-resolved for human use, and thus they primarily focus on optimizing visual image quality, without considering the potential application of the super-resolved image for machine vision tasks, such as semantic segmentation. In this paper, we propose a task-aware image super-resolution network, by incorporating machine-related task requirement into the super-resolution process. To achieve this, we propose to generate super-resolved images by employing generative adversarial networks, where the super-resolution network functions as the generator, while the discriminator consists of the popular real/fake classification branch and an additional task branch. With this specially-designed multi-branch discriminator, task requirement is used as an added training objective provided to the generator for producing super-resolved images with task awareness. Moreover, by performing alternative training between the generator and the discriminator, we dynamically enhance the capacity of task branch along with the superresolving process, achieving generalization ability for the resulting superresolved image. Experimental results show that, for semantic segmentation task, our proposed method significantly outperforms the competing ones on various upscaling factors in terms of segmentation accuracy. Furthermore, our method can also generate visually better super-resolved image at the same time. © 2024, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation

arXiv

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arXiv 2025年

作者： Zhang, Enci Yan, Xingang Lin, Wei Zhang, Tianxiang Lu, Qianchun Wired Product Operation Division ZTE Corporation Nanjing China School of Electronic and Computer Engineering Peking University Shenzhen China

Despite impressive progress in areas like mathematical reasoning, large language models still face significant challenges in consistently solving complex problems. Drawing inspiration from key human learning strategies, we propose two novel strategies to enhance the capability of large language models to solve these complex problems. First, Adaptive Difficulty Curriculum Learning (ADCL) is a novel curriculum learning strategy that tackles the Difficulty Shift phenomenon (i.e., a model’s perception of problem difficulty dynamically changes during training) by periodically re-estimating difficulty within upcoming data batches to maintain alignment with the model’s evolving capabilities. Second, Expert-Guided Self-Reformulation (EGSR) is a novel reinforcement learning strategy that bridges the gap between imitation learning and pure exploration by guiding models to reformulate expert solutions within their own conceptual framework, rather than relying on direct imitation, fostering deeper understanding and knowledge assimilation. Extensive experiments on challenging mathematical reasoning benchmarks, using Qwen2.5-7B as the base model, demonstrate that these human-inspired strategies synergistically and significantly enhance performance. Notably, their combined application improves performance over the standard Zero-RL baseline by 10% on the AIME24 benchmark and 16.6% on AIME25. Copyright © 2025, The Authors. All rights reserved.

关键词： Curricula

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A Surface Integral Equation Solver with Full Form of Generalized Sheet Transition Conditions to Simulate Metasurfaces

A Surface Integral Equation Solver with Full Form of General...

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USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

作者： Sebastian Celis Sierra Ran Zhao Hakan Bagci Electrical and Computer Engineering (ECE) Program Computer Electrical Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia School of Electronic Science and Engineering University of Electronic Science and Technology of China (UESTC) Chengdu Sichuan China

ISBN: (数字)9789463968119

ISBN: (纸本)9798350359497

Metasurfaces offer remarkable control over different characteristics of the electromagnetic waves. They can be used to modify the phase, amplitude, polarization, and direction of reflection associated with an incoming incident field. This behavior can be mathematically represented using the generalized sheet transition conditions (GSTCs) (K. Achouri and C. Caloz, Electromagnetic Metasurfaces: Theory and Applications, Wiley, 2021). GSTCs connect the electromagnetic fields on the two sides of the sheet using equivalent bianisotropic electric and magnetic susceptibility tensors. These tensors account for the cumulative electric and magnetic polarization density effect of the unit-cell configurations on the electromagnetic fields.

关键词： Tensors Conferences Integral equations Electromagnetic scattering Metasurfaces Reflection Electromagnetic fields

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Simulating Bianisotropic Metasurfaces: A Thin Dielectric Sheet Approach

Simulating Bianisotropic Metasurfaces: A Thin Dielectric She...

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USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

作者： Sebastian Celis Sierra Ran Zhao Hakan Bagci Electrical and Computer Engineering (ECE) Program Computer Electrical and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia School of Electronic Science and Engineering University of Electronic Science and Technology of China (UESTC) Chengdu Sichuan China

ISBN: (数字)9789463968119

ISBN: (纸本)9798350359497

Metasurfaces are expected to revolutionize wireless communications due to their ability to enhance different characteristics of electromagnetic wave propagation channels. The response of a metasurface to an electromagnetic excitation is determined by the geometry, the material composition, and the spatial arrangement of its sub-wavelength unit cells. This response can be considered as a spatiotemporal discontinuity in the field and can be mathematically described using the so-called generalized sheet transition conditions (GSTCs) (K. Achouri and C. Caloz, Electromagnetic Metasurfaces: Theory and Applications, Wiley, 2021). The GSTCs connect the electromagnetic fields on two sides of the metasurface using the electric and magnetic bianisotropic susceptibility tensors which effectively represent the metasurface.

关键词： Wireless communication Geometry Tensors Metasurfaces Spatiotemporal phenomena Dielectrics Electromagnetic propagation

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Broadband usage for rural communities in the North Island of Aotearoa New Zealand

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Intelligent and Converged Networks 2022年第3期3卷 244-259页

作者： Ming Xiang William Liu Edmund Lai Jairo Gutierrez Luca Chiaraviglio Jinsong Wu Control Science and Engineering South China University of TechnologyGuangzhou 510300Chinaand also with the South China Sea Institute of Planning and Environmental ResearchMinistry of Natural ResourcesGuangzhou 510300China Department of Computer Science and Software Engineering School of EngineeringComputer and Mathematical SciencesAuckland University of TechnologyAuckland 1010New Zealand Department of Electronic Engineering University of Rome“Tor Vergata”Rome 00133Italy Consorzio Nazionale Interuniversitario per le Telecomunicazioni(CNIT) Parma 43124Italy Department of Electrical Engineering Universidad de ChileSantiago 92101Chile

New Zealand government’s Rural Broadband Initiative(RBI)aims to invest 400 million New Zealand dollar to provide 99%of New Zealanders with access to 50 Mbps peak broadband speed,with the remaining 1%at 10 Mbps by *** 2017,stage 1 of the RBI has been completed,and research is needed to find out the level of usage,proficiency,and productivity achieved by ***,a survey was carried out to learn whether the rural residents and their communities are making good use of the new fast broadband *** survey collected data from 217 rural residents from North Island,and the results indicate that about half of the interview respondents are satisfied with the new broadband speed and the reliability which is offered by RBI stage ***,there is about 28%of the respondents disagreed with *** majority of the Internet uses for rural residents are information searching,reading news,online entertainment,and online *** that,only a small proportion of respondents know how to utilize the Internet in their work/business and benefit/profit from it,e.g.,using cloud technology capabilities and online marketing campaigns,*** ***,we argue that information and communications technologies(ICT)adoption is not only the availability of the infrastructure but also the beneficial outcomes of Internet *** other words,Internet skills in-depth training and education need to catch up with the infrastructure deployment,which is useful to fuel the digital productivity and inclusion for booming rural *** survey data-driven findings presented in this paper could serve as a reference to inform government policymakers and those who wish to create,invest,and take actions to speed up the economic and social growth of rural communities in Aotearoa New Zealand through the Internet while shifting from the Internet speed and traffic volume-driven to a more effective Internet connectivity and value-added driven rural economy.

关键词： data driven approach data-supported decision and policy making digital exclusion information and communications technologies(ICT)adoption effective connectivity rural broadband usage rural economic development

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Analog, Programmable Switched Capacitor FIR Filter Based on Rotator Architecture Implemented in CMOS Technology 26

Analog, Programmable Switched Capacitor FIR Filter Based on ...

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26th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2023

作者： Pawlowski, Pawel Dlugosz, Rafal Radkowski, Marek Watly, Mateusz Dabrowski, Adam Poznań University of Technology Division of Signal Processing and Electronic Systems Faculty of Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Poznań60-965 Poland Bydgoszcz University of Science and Technology Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz85-796 Poland

ISBN: (纸本)9798350304985

The paper presents project and its verification of a prototype integrated circuit containing an analog, programmable finite impulse response (FIR) filter, implemented in CMOS 350 nm technology. The structure of the filter is based on the switched capacitor technique. In circuits of this type, one of main challenges is an efficient implementation of filter coefficients, which result from several factors described in this work. When implementing such filters as programmable circuits, the values of their coefficients have to be limited to a selected range, i.e. a given resolution in bits. In the implemented prototype filter, the filter coefficients are represented by 6 bits in sign-magnitude notation, so they can take 63 different values only. In such filters, it is not possible to directly implement any frequency response of the filter. Each time, it is necessary to properly round the theoretical values of the coefficients so that they fit into the available range of discrete values resulting from the implementation. The authors of the work designed an algorithm that allows such matching. The paper also presents results of measurements of the prototype chip. © 2023 division of Signal Processing and electronic Systems, Poznan University of Technology (DSPES PUT).

关键词： FIR filters

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Fuzzy-Based Multiobjective Multifactor Dimensionality Reduction for Epistasis Analysis

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IEEE/ACM Transactions on Computational Biology and Bioinformatics 2023年第1期20卷 378-387页

作者： Yang, Cheng-Hong Huang, Hsiu-Chen Hou, Ming-Feng Chuang, Li-Yeh Lin, Yu-Da National Kaohsiung University of Science and Technology Department of Electronic Engineering Kaohsiung80708 Taiwan Kaohsiung Medical University Biomedical Engineering and School of Dentistry Kaohsiung80708 Taiwan Chia-Yi Christian Hospital Department of Community Health Chia-Yi60002 Taiwan Kaohsiung Medical University Hospital Division of Breast Surgery Department of Surgery Kaohsiung80708 Taiwan Kaohsiung Medical University Biomedical Engineering Kaohsiung80708 Taiwan I-Shou University Department of Chemical Engineering Institute of Biotechnology and Chemical Engineering Kaohsiung84001 Taiwan National Penghu University of Science and Technology Department of Computer Science and Information Engineering Penghu 880011 Taiwan

Epistasis detection is vital for understanding disease susceptibility in genetics. Multiobjective multifactor dimensionality reduction (MOMDR) was previously proposed to detect epistasis. MOMDR was performed using binary classification to distinguish the high-risk (H) and low-risk (L) groups to reduce multifactor dimensionality. However, the binary classification does not reflect the uncertainty of the H and L classification. In this study, we proposed an empirical fuzzy MOMDR (EFMOMDR) to address the limitations of binary classification using the degree of membership through an empirical fuzzy approach. The EFMOMDR can simultaneously consider two incorporated fuzzy-based measures, including correct classification rate and likelihood rate, and does not require parameter tuning. Simulation studies revealed that EFMOMDR has higher 7.14% detection success rates than MOMDR, indicating that the limitations of binary classification of MOMDR have been successfully improved by empirical fuzzy. Moreover, EFMOMDR was used to analyze coronary artery disease in the Wellcome Trust Case Control Consortium dataset. © 2004-2012 IEEE.

关键词： Maximum likelihood estimation

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Blockchain and Web of Things for Structural Health Monitoring Applications: A Proof of Concept 19

Blockchain and Web of Things for Structural Health Monitorin...

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19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022

作者： Gigli, Lorenzo Sciullo, Luca Montori, Federico Marzani, Alessandro Di Felice, Marco University of Bologna Department of Computer Science and Engineering Italy University of Bologna Department of Civil Chemical Environmental and Materials Engineering Italy University of Bologna Advanced Research Center on Electronic Systems Ercole de Castro Italy

ISBN: (纸本)9781665431620

Interoperable and secure data management techniques are fundamental for most of large-scale Structural Health Monitoring (SHM) systems. Indeed, given the relevance of SHM critical measurements, data integrity must be protected against tampering or falsifications. In this paper, we propose a four-layer SHM architecture that allows to build an effective data pipeline from sensors to consumer applications, passing through the cloud. The architecture is built on top of the MODRON platform and exploits the recent advances of the W3C Web of Things (WoT) standard for interoperability. We then discuss how third-party services can take benefit of the W3C WoT architecture to retrieve the SHM critical data and to publish them on the Ethereum Blockchain through an SHM-specific Smart Contract, for data protection and traceability purposes. We test the effectiveness of the Smart Contract implementation in terms of latency and costs under simulated workloads. © 2022 IEEE.

关键词： Smart contract

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