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Implicit Multi-Scale Swin Transformer Network for Image Denoising

IEEE Transactions on Consumer Electronics 2025年

作者： Zhang, Qi Ding, Yuwei Zhang, Weiqi Zhu, Yian Zhang, Bob Lin, Jerry Chun-Wei Harbin Institute of Technology at Weihai School of Economics and Management Weihai China Nanjing University State Key Laboratory for Novel Software Technology Nanjing China Northwestern Polytechnical University School of Computer Science Xi’an China Northwestern Polytechnical University Yangtze River Delta Research Institute Taicang China University of Macau PAMI Research Group Department of Computer and Information Science Taipa China Department of Distributed Systems and IT Devices Electrical Engineering and Mathematical Sciences Silesian university of technology Poland

Image denoising has been used in various edge computing scenarios such as consumer electronics to improve the image quality and user experience. Existing image denoising methods based on Convolutional Neural Networks (CNNs) and vision Transformers achieve good performance by empirically utilizing residual neural network (ResNet) as basic component. However, ResNet lacks interpretability in network design and also long-term memory of features, potentially restricting the performance of denoising networks. In this paper, we propose an Implicit Multi-scale Swin Transformer Network (IMSNet) for image denoising, which introduces the implicit Euler scheme from the feature memory perspective. Specifically, densely connected implicit feature extraction blocks (IFEBs) are designed to learn the residual mapping between noisy and clean images. The IFEB reformulates the initial skip connection of ResNet based on the implicit Euler discretization, providing both network interpretability and long-term memory. In IFEB, the multi-scale swin Transformer block (MSB) is designed as the implicit layer to capture spatial details and non-local contextual information at different scales. Additionally, a cross-layer feature fusion block (CLFF) is proposed to further improve feature reuse capabilities. Compared to existing denoising networks, the extensive experiments demonstrate the superior performance of our IMSNet in various image denoising tasks, and the flexibility in the practical applications with proposed light model on resource-restricted platforms such as consumer electronic devices. © 1975-2011 IEEE.

关键词： Image denoising

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Fairness kills safety: A comparative study for intersection assistance applications 25

Fairness kills safety: A comparative study for intersection ...

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2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014

作者： Joerer, Stefan Bloessl, Bastian Segata, Michele Sommer, Christoph Cigno, Renato Lo Dressler, Falko Computer and Communication Systems Institute of Computer Science University of Innsbruck Austria Systems and Networks Dept. of Information Engineering and Computer Science University of Trento Italy Distributed Embedded Systems Institute of Computer Science University of Paderborn Germany

ISBN: (纸本)9781479949120

We study the ability of Inter-Vehicle Communication (IVC) solutions to handle real-time requirements in safety scenarios using beaconing as a communication primitive. One of the envisioned safety applications is intersection assistance. The objective of such applications is to either warn the driver or even to act autonomously if other approaching vehicles endanger the vehicle. Fairness, combined with aggressive channel access for low-latency safety messages, has been one of the main research line according to which state of the art congestion control mechanisms have been developed. We show that these solutions are not able to sufficiently support intersection assistance applications. Specifically, we show that current approaches fail exactly due to their fairness postulation. We propose a new situation-aware solution to this fairness dilemma by allowing temporary exceptions for vehicles in dangerous situations. We show the applicability for two state of the art congestion control mechanisms, namely ETSI Transmit Rate Control (TRC) and Dynamic Beaconing (DynB). Our investigation also reveals important research objectives for future IVC protocols, namely how much reactivity and situation-awareness is needed in the highly dynamic environment of vehicular networks. © 2014 IEEE.

关键词： Vehicles

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Measurement-based interference modeling using channel occupancy in wireless mesh networks

Measurement-based interference modeling using channel occupa...

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13th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2012

作者： Juraschek, Felix Günes, Mesut Blywis, Bastian Institute of Computer Science Distributed Embedded Systems Freie Universität Berlin Humboldt Universität Berlin Germany

ISBN: (纸本)9781467312394

We introduce a linear measurement-based method for interference estimation in wireless mesh networks. The approach is based on measuring the channel occupancy and requires only O(n) measurements for a network with n nodes, thus making it suitable for large network deployments. We show, how we utilize the carrier sensing mechanism of commodity IEEE 802.11 hardware to measure the channel occupancy. Based on the measurements, we develop the Channel Occupancy Interference Model (COIM). The model is validated in the DES-Testbed, a wireless mesh network with 128 multi-radio network nodes at the Freie Universität Berlin. The validation shows, that the model is capable of predicting interfering nodes in the communication and also in the interference range. Additionally, our evaluation shows that the often used 2-hop interference model is too pessimistic for indoor network deployments, about 60% of the 2-hop neighbors are not interferers in our set-up. © 2012 IEEE.

关键词： MESH networking

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PreMatch: A Prediction-based Scheduler for Dataflow Asynchronous Processing on the Computing Continuum 25

PreMatch: A Prediction-based Scheduler for Dataflow Asynchro...

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Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing

作者： Narges Mehran Zahra Najafabadi Samani Samira Afzal Radu Prodan Frank Pallas Peter Dorfinger Intelligent Connectivity Group Salzburg Research Forschungsgesellschaft mbH Salzburg Salzburg Austria Faculty of Digital and Analytical Sciences Paris Lodron University of Salzburg Salzburg Salzburg Austria Distributed and Parallel Systems Group University of Innsbruck Innsbruck Tyrol Austria Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Overijssel Netherlands Institute of Information Technology Alpen-Adria-University of Klagenfurt Klagenfurt Carinthia Austria

ISBN: (纸本)9798400706295

The popularity of asynchronous data exchange patterns has recently increased, as evidenced by 23% of the communication between microservices in an Alibaba trace analysis. Such workloads necessitate methods for reducing dataflow processing and completion time by forecasting the future requirements of their microservices and (re-)scheduling them. Therefore, we investigate a prediction-based scheduling method of asynchronous dataflow processing applications by considering the stochastic changes due to dynamic user requirements. We present a microservice scaling and scheduling method named PreMatch combining a machine learning (ML) prediction strategy based on gradient boosting with ranking and game theory matching scheduling principles. Firstly, PreMatch predicts the number of microservice replicas, and then, the ranking method orders the microservice replicas and devices based on microservice and transmission times. Thereafter, the PreMatch schedules microservice replicas requiring dataflow processing on computing devices. Experimental analysis of the PreMatch method shows lower completion times on average 13% compared to a related prediction-based scheduling method.

关键词： microservice

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Assessing the impact of inter-vehicle communication protocols on road traffic safety 14

Assessing the impact of inter-vehicle communication protocol...

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6th ACM MobiCom Workshop on Wireless of the Students, by the Students, for the Students, S3 2014

作者： Joerer, Stefan Bloessl, Bastian Huber, Matthaeus Jamalipour, Abbas Dressler, Falko Institute of Computer Science University of Innsbruck Austria Distributed Embedded Systems Institute of Computer Science University of Paderborn Germany School of Electrical and Information Engineering University of Sydney Australia

ISBN: (纸本)9781450330732

Intelligent Transportation systems (ITS) will change the experience of driving in the near future. Most applications will use wireless communication (cellular or ad-hoc) for being able to provide the required services. Usually performance evaluations of communication protocols are conducted with typical network metrics like delay, jitter, or goodput for example. However, in the context of ITS it has been shown that network metrics are not sufficient to evaluate vehicular safety applications. Therefore, we extended our existing simulation framework Veins with a model that allows to simulate dangerous road traffic safety situations, i.e., we implemented a driver behavior model for intersection approaches. Furthermore, we implemented an autonomous controller which tries to avoid crashes at intersections. We showcase the impact of different Inter-Vehicle Communication (IVC) protocols, although the intersection approach model and autonomous controller could be also employed to carry out safety evaluations of other communication technologies. Copyright 2014 ACM.

关键词： Intelligent systems

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Plexe: A platooning extension for Veins

Plexe: A platooning extension for Veins

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2014 IEEE Vehicular Networking Conference, VNC 2014

作者： Segata, Michele Joerer, Stefan Bloessl, Bastian Sommer, Christoph Dressler, Falko Cigno, Renate Lo Computer and Communication Systems Institute of Computer Science University of Innsbruck Austria Dept. of Information Engineering and Computer Science University of Trento Italy Distributed Embedded Systems Dept. of Computer Science University of Paderborn Germany

ISBN: (纸本)9781479976607

Cooperative driving in general and Cooperative Adaptive Cruise Control (CACC) or platooning in particular require blending control theory, communications and networking, as well as mechanics and physics. Given the lack of an integrated modeling framework and theory as well as the prohibitively high costs of using prototypes for what-if studies, simulation remains the fundamental instrument to evaluate entire cooperative driving systems. This work presents Plexe, an Open Source extension to Veins that offers researchers a simulation environment able to run experiments in realistic scenarios, taking into account physics and mechanics of the vehicles, communications and networking impairments, and Inter-Vehicle Communication (IVC) protocol stacks. Plexe is easily extensible and already implements protocols to support platooning and cooperative driving applications and several state of the art cruise control models. We describe the structure of the simulator and the control algorithms that Plexe implements and provide two use cases which show the potential of our framework as a powerful research tool for cooperative driving systems. © 2014 IEEE.

关键词： Blending

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Solving the routing and wavelength assignment problem with a multilevel distributed memetic algorithm

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Memetic Computing 2009年第2期1卷 101-123页

作者： Fischer, Thomas Bauer, Kerstin Merz, Peter Distributed Algorithms Group Department of Computer Science University of Kaiserslautern Kaiserslautern Germany Embedded Systems Group Department of Computer Science University of Kaiserslautern Kaiserslautern Germany

The Routing and Wavelength Assignment problem is a graph optimization problem which deals with optical networks, where communication requests in a network have to be fulfilled. In this paper, we present a multilevel distributed memetic algorithm (ML-DMA) for the static RWA which finds provable optimal solutions for most benchmark instances with known lower bounds and is capable of handling large instances. Components of our ML-DMA include iterated local search, recombination, multilevel scaling, and a gossip-based distribution algorithm. Results demonstrated that our ML-DMA is among the most sophisticated heuristic RWA algorithms published so far. © 2009 Springer-Verlag.

关键词： Iterated local search Memetic algorithms Multilevel approach Routing and wavelength assignment problem

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Towards inter-vehicle communication strategies for platooning support 7

Towards inter-vehicle communication strategies for platoonin...

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2014 7th International Workshop on Communication Technologies for Vehicles, Nets4Cars-Fall 2014

作者： Segata, Michele Bloessl, Bastian Joerer, Stefan Sommer, Christoph Gerla, Mario Cigno, Renato Lo Dressler, Falko Computer and Communication Systems Institute of Computer Science University of Innsbruck Austria Systems and Networks Dept. of Information Engineering and Computer Science University of Trento Italy Distributed Embedded Systems Institute of Computer Science University of Paderborn Germany Dept. of Computer Science University of California Los AngelesCA United States

ISBN: (纸本)9781479952700

Platooning, the idea of cars autonomously following their leaders to form a road train, has huge potentials to improve traffic flow efficiency and, most importantly, road traffic safety. Wireless communication is a fundamental building block - it is needed to manage and to maintain the platoons. To keep the system stable, strict constraints in terms of update frequency and reliability must be met. We developed communication strategies by explicitly taking into account the requirements of the controller, exploiting synchronized communication slots as well as transmit power adaptation. The proposed approaches are compared to two state of the art adaptive beaconing protocols that have been designed for generic message dissemination. Our simulation models have been parametrized and validated by means of real-world experiments. We clearly show how taking into account specific requirements can be extremely beneficial even in very crowded freeway scenarios. © 2014 IEEE.

关键词： Roads and streets

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Non-invasive brain stimulation-based sleep stage classification using transcranial infrared based electrocardiogram

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Neuroscience Informatics 2025年第2期5卷 100197-100197页

作者： Ramesh, Janjhyam Venkata Naga Quraishi, Aadam Aoudni, Yassine Mudhafar, Mustafa Nimma, Divya Bansal, Monika Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Andhra Pradesh 522302 India M.D. Research Intervention Treatment Institute Houston TX United States Computer & Embedded Systems Laboratory National School of Engineers of Sfax (ENIS) University of Sfax BP 1173 Sfax 3038 Tunisia Department of Medical Physics Faculty of Medical Applied Sciences University of Kerbala Karbala 56001 Iraq Department of Anesthesia Techniques and Intensive Care Al-Taff university college Kerbala 56001 Iraq Data Analyst in UMMC United States Department of Computer Science SSD Women's Institute of Technology Bathinda India

Non-invasive brain stimulation (NIBS) techniques, such as transcranial infrared (tNIR) stimulation, offer promising advancements in sleep monitoring and regulation. To enhance sleep stage classification without relying on traditional polysomnography (PSG) systems, we propose a novel approach integrating single-channel electrocardiogram (ECG) signals, heart rate variability (HRV) features, and tNIR stimulation. The maximal overlap discrete wavelet transform (MODWT) is applied for multi-resolution analysis of ECG signals, followed by peak information extraction. Based on the first-order deviation of peak positions, multi-dimensional HRV features are extracted. To identify HRV features strongly associated with different sleep stages, we introduce a feature selection method combining the ReliefF algorithm and Gini index. The selected features are then processed using the INFO-ABC Logit Boost method to establish correlations between HRV dynamics and sleep stages. Experimental results on publicly available datasets demonstrate that the proposed model achieves an overall accuracy of 83.67%, a precision of 82.59%, a Kappa coefficient of 77.94%, and an F1-score of 82.97%. Compared with conventional sleep staging methods, our approach enhances sleep quality assessment and facilitates real-time, non-invasive monitoring in home and mobile healthcare settings, leveraging the potential of tNIR-based NIBS for sleep modulation. © 2025 The Author(s)

关键词： ECG Healthcare HRV Non-invasive brain stimulation tNIR

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A Chance Constrained Optimal Reserve Scheduling Approach for Economic Dispatch Considering Wind Penetration

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IEEE/CAA Journal of Automatica Sinica 2017年第2期4卷 186-194页

作者： Yufei Tang Chao Luo Jun Yang Haibo He IEEE Department of Computer & Electrical Engineering and Computer Science and the Institute for Sensing and Embedded Network Systems EngineeringFlorida Atlantic University School of Electrical Engineering Wuhan University Department of Electrical Computer and Biomedical EngineeringUniversity of Rhode Island

The volatile wind power generation brings a full spectrum of problems to power system operation and management, ranging from transient system frequency fluctuation to steady state supply and demand balancing issue. In this paper, a novel wind integrated power system day-ahead economic dispatch model, with the consideration of generation and reserve cost is modelled and investigated. The proposed problem is first formulated as a chance constrained stochastic nonlinear programming U+0028 CCSNLP U+0029, and then transformed into a deterministic nonlinear programming U+0028 NLP U+0029. To tackle this NLP problem, a three-stage framework consists of particle swarm optimization U+0028 PSO U+0029, sequential quadratic programming U+0028 SQP U+0029 and Monte Carlo simulation U+0028 MCS U+0029 is proposed. The PSO is employed to heuristically search the line power flow limits, which are used by the SQP as constraints to solve the NLP problem. Then the solution from SQP is verified on benchmark system by using MCS. Finally, the verified results are feedback to the PSO as fitness value to update the particles. Simulation study on IEEE 30-bus system with wind power penetration is carried out, and the results demonstrate that the proposed dispatch model could be effectively solved by the proposed three-stage approach. © 2017 Chinese Association of Automation.

关键词： Constrained optimization Economics Electric load flow Electric power generation Intelligent systems Monte Carlo methods Nonlinear programming Optimization Particle swarm optimization (PSO) Problem solving Quadratic programming Scheduling Stochastic systems Wind power

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