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32nd ACM International Conference on Multimedia, MM 2024

作者： Tong, Yuan Hu, Mengshun Wang, Zheng National Engineering Research Center for Multimedia Software Hubei Key Laboratory of Multimedia and Network Communication Engineering School of Computer Science Wuhan University Wuhan China

ISBN: (纸本)9798400706868

We present NNVISR - an open-source filter plugin for the VapourSynth video processing framework, which facilitates the application of neural networks for various kinds of video enhancing tasks, including denoising, super resolution, interpolation, and spatio-temporal super-resolution. NNVISR fills the gap between video enhancement neural networks and video processing pipelines, by accepting any network that enhances a group of frames, and handling all other network agnostic details during video processing. NNVISR is publicly released at https://***/tongyuantongyu/vs-NNVISR. © 2024 ACM.

关键词： Open systems

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The Task Collaborative Migration Method for Marine IoT Based on Edge Computing-RESTful Architecture 6

The Task Collaborative Migration Method for Marine IoT Based...

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6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024

作者： Hu, Yifan Wang, Fuqiang School of Information and Control Engineering Qingdao University of Technology Qingdao China Shandong Computer Science Center and Shandong Provincial Key Laboratory of Computer Networks Jinan China

ISBN: (纸本)9798350344349

Marine Internet of Things (Marine IoT) has garnered increasing interest in monitoring oceanic environments. But establishing a Marine IoT system for observing and processing marine environmental data presents various challenges. These include limited underwater communication bandwidth, and uneven distribution of tasks among data-sensing devices. This paper proposes an Edge Computing-RESTful (ECR) architecture to efficiently integrate and process the substantial volume of data gathered through marine observations. 1) The ECR method is introduced for task collaborative migration, aiming to schedule and manage the tasks within the Marine IoT system. 2) Through unified scheduling and management of tasks, the edge gateway can facilitate migration, scheduling, and interaction of task loads among various edge sensing devices. The proposed dynamic and adaptive approach matches computing tasks with edge sensing devices, minimizing energy consumption and migration delay within the Marine IoT system. Simulation results validate the superiority of the proposed method for Marine IoT, showcasing improved performance metrics such as reduced time delays and lower energy consumption during task collaborative migration. © 2024 IEEE.

关键词： Edge computing

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Ultra Dense Satellite-Enabled 6G Networks:Resource Optimization and Interference Management

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China Communications 2023年第10期20卷 262-275页

作者： Xiangnan Liu Haijun Zhang Min Sheng Wei Li Saba Al-Rubaye Keping Long School of Computer&Communication Engineering University of Science and Technology BeijingBeijing 100083China Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services University of Science and Technology BeijingBeijing 100083China School of Telecommunications Engineering Xidian UniversityXi’an 710071China State Radio Monitoring Center of China Beijing 100037China School of Aerospace Transport and Manufacturing Cranfield UniversityMK430ALUK

With the evolution of the sixth generation(6G)mobile communication technology,ample attention has gone to the integrated terrestrial-satellite *** paper notes that four typical application scenarios of integrated terrestrial-satellite networks are integrated into ultra dense satellite-enabled 6G networks *** the subchannel and power allocation schemes for the downlink of the ultra dense satellite-enabled 6G heterogeneous networks are *** mobile edge computing(SMEC)with edge caching in three-layer heterogeneous networks serves to reduce the link traffic of ***,a scheme for interference management is presented,involving quality-of-service(QoS)and co-tier/cross-tier interference *** simulation results show that the proposed schemes can significantly increase the total capacity of ultra dense satellite-enabled 6G heterogeneous networks.

关键词： satellite-enabled 6G networks network architecture resource optimization interference management

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XWCoDe: XGBoost with Weighted Code Dependency for Requirements-to-Code Traceability Link Recovery

XWCoDe: XGBoost with Weighted Code Dependency for Requiremen...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Zou, Zhiyuan Wang, Bangchao Deng, Yang Wan, Hongyan An, Zhiquan Cao, Yukun School of Computer Science and Artificial Intelligence Wuhan Textile University China Engineering Research Center of Hubei Province for Clothing Information China

ISBN: (纸本)9781665410205

Information Retrieval (IR), Machine Learning (ML), and Deep Learning (DL) have become mainstream methods for traceability link recovery. However, IR-based methods face the challenge of low precision, while DL-based methods require large-scale training data to achieve better performance. In this paper, we propose a novel model XWCoDe, which apply XGBoost combined with a weighted code dependency strategy to traceability link recovery domain. In order to refine the initial candidate links generated by the XGBoost model, the strategy only modifies low confidence candidate links and pioneers the use of graph embedding technology node2vec to calculate the importance of each code dependency relationship. The experimental results show that the average F1 score of XW CoDe on 4 datasets and 9 training/testing ratios is 12.93 % higher than the state-of-the-art method DF4RT. © 2024 IEEE.

关键词： Graph embeddings

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Review on empathy in engineering education: Conceptions, interventions, and challenges 10

Review on empathy in engineering education: Conceptions, int...

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10th Research in engineering Education Symposium: Connecting Research-Policy-Practice for Transforming engineering Education, REES 2024

作者： Baligar, Preethi Amashi, Radhika Vijayalakshmi, M. Chen, Juebei Guerra, Aida Du, Xiangyun Centre for Engineering Education Research India School of Computer Science and Engineering KLE Technological University Hubballi India UCPBL Center Aalborg University Aalborg Denmark

ISBN: (纸本)9781713893813

Context Despite an innate need for empathetic engineering, the dialogue on what constitutes empathy in engineering, its conceptualization, and the curriculum development to ingrain empathy as a transversal skill is still in its infancy. Purpose or Goal This study develops a broad conceptualization of empathy for engineering education and aggregate interventions to develop and measure it in engineering education. It specifically focuses on exploring the conceptions/frameworks/elements of empathy in engineering, curricular interventions for its development, and approaches and instruments used to measure it. Methods This study is a scoping review of Scopus and Web of science databases for articles on empathy in engineering education published between 2013 and 2023. Outcomes This research illustrates that while the concept of empathy is not new, its inclusion, conceptualization, and measurements for engineering education are emerging. The conceptualization of empathy in engineering has taken various forms, with emerging frameworks highlighting its multi-dimensional nature. Eleven challenges come to light when examining the interventions for developing empathy at the module, course, and program levels. Conclusion Despite all that we know about the need for empathy in the engineering profession, its foray into engineering education is still in its infancy. The proposed scoping review has implications for both research and practice. It provides a synergistic view of literature on empathy development in engineering with critical findings for conceptions of empathy, recommendations for operationalizing the elements of empathy across progressive years of engineering study and disciplines leading to an array of curricular interventions with appropriate approaches for measuring it. Further research opens opportunities to develop instruments for measuring empathy from discipline-dependent and independent perspectives. Copyright © Preethi Baligar, Radhika Amashi, Vijayalakshmi M,

关键词： engineering education

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Synergetic PVA degradation and H2 evolution in photocatalytic fuel cells using Ag@Fe_(2)O_(3) cathode

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Frontiers of Chemical science and engineering 2024年第1期18卷 85-93页

作者： Likun Sun Kesi Xiong Baoning Zhang Jinghong Fang Yingchao He Min Wang Zhixing Gan Fanglin Du Qiong Sun Liyan Yu Lifeng Dong College of Materials Science and Engineering Qingdao University of Science and TechnologyQingdao 266042China Center for Future Optoelectronic Functional Materials School of Computer and Electronic InformationNanjing Normal UniversityNanjing 210023China Department of Physics Hamline UniversitySt.Paul 55104USA

In a dual-chamber photocatalytic fuel cell device,polyvinyl alcohol degradation and H2 evolution were concurrently *** setup involved commercial P25 as the photoanode and Ag@Fe_(2)O_(3) nanoparticles as the ***,the feasibility of a Fentonlike reaction in the cathode,utilizing Fe^(2+)ions and pumped O_(2),was *** cathode materials,polyvinyl alcohol types,and pH values’effects were assessed on device *** tests highlighted photoinduced holes(h+)and OH·radicals as pivotal contributions to polyvinyl alcohol ***-term stability of the device was established through cycling experiments.

关键词： photocatalytic fuel cell PVA Ag@Fe_(2)O_(3) cathode materials Fenton-like reaction

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DeepCNN:Spectro-temporal feature representation for speech emotion recognition

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CAAI Transactions on Intelligence Technology 2023年第2期8卷 401-417页

作者： Nasir Saleem Jiechao Gao Rizwana Irfan Ahmad Almadhor Hafiz Tayyab Rauf Yudong Zhang Seifedine Kadry Department of Electrical Engineering Faculty of Engineering and TechnologyGomal UniversityD.I.KhanPakistan Department of Computer Science University of VirginiaCharlottesvilleVirginiaUSA Department of Information Technology College of Computing and Information Technology at KhulaisUniversity of JeddahJeddahSaudi Arabia Department of Computer Engineering and Networks College of Computer and Information SciencesJouf UniversitySkaka AljoufSaudi Arabia Centre for Smart Systems AI and CybersecurityStaffordshire UniversityStoke‐on‐TrentUK School of Computing and Mathematical Sciences University of LeicesterLeicesterUK Department of Applied Data Science Noroff University CollegeKristiansandNorway Artificial Intelligence Research Center(AIRC) Ajman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon

Speech emotion recognition(SER)is an important research problem in human-computer interaction *** representation and extraction of features are significant challenges in SER *** the promising results of recent studies,they generally do not leverage progressive fusion techniques for effective feature representation and increasing receptive *** mitigate this problem,this article proposes DeepCNN,which is a fusion of spectral and temporal features of emotional speech by parallelising convolutional neural networks(CNNs)and a convolution layer-based *** parallel CNNs are applied to extract the spectral features(2D-CNN)and temporal features(1D-CNN)representations.A 2D-convolution layer-based transformer module extracts spectro-temporal features and concatenates them with features from parallel *** learnt low-level concatenated features are then applied to a deep framework of convolutional blocks,which retrieves high-level feature representation and subsequently categorises the emotional states using an attention gated recurrent unit and classification *** fusion technique results in a deeper hierarchical feature representation at a lower computational cost while simultaneously expanding the filter depth and reducing the feature *** Berlin Database of Emotional Speech(EMO-BD)and Interactive Emotional Dyadic Motion Capture(IEMOCAP)datasets are used in experiments to recognise distinct speech *** efficient spectral and temporal feature representation,the proposed SER model achieves 94.2%accuracy for different emotions on the EMO-BD and 81.1%accuracy on the IEMOCAP dataset *** proposed SER system,DeepCNN,outperforms the baseline SER systems in terms of emotion recognition accuracy on the EMO-BD and IEMOCAP datasets.

关键词： decision making deep learning

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A low-fabrication-temperature, high-gain chip-scale waveguide amplifier

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science China(Information sciences) 2022年第6期65卷 247-255页

作者： Bo WANG Peiqi ZHOU Xingjun WANG Yandong HE State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsSchool of Electronics Engineering and Computer Science Peking University Institute of Microelectronics School of Electronics Engineering and Computer Science Peking University Frontier Science Center for Nano-optoelectronics Peking University Peking University Yangtze Delta Institute of Optoelectronics Peng Cheng Laboratory

The increasing prevalence of integrated on-chip optoelectronic devices has identified serious issues regarding inter-device transmission and coupling losses, highlighting an urgent need for on-chip waveguide amplifiers to compensate for these losses. Compared with other Er-based optical materials, erbium silicate is ideally suited to high-efficiency on-chip amplifiers and lasers because of its extremely high Er3+concentration(1022cm-3). Nevertheless, erbium silicate must be annealed above 1000℃ to crystallize and activate the Er3+, which damages other on-chip optoelectronic components and is not conducive to device ***, we report a low-fabrication-temperature, high-luminescence-efficiency gain material by adding Bi2O3to an erbium-ytterbium silicate mixed film. Our experiments demonstrate that the proposed film crystallizes at 600℃ while the activation of Er3+is also achieved, which is the lowest activation temperature of on-chip waveguide amplifier to our knowledge. This material forms the basis for a new chip-scale waveguide amplifier design, with a theoretical multi-energy-level model of Bi-Er-Yb in the mixed thin films used to analyze its signal enhancement properties. We achieve a peak on-chip gain of 23 dB in a 3.3-mm-long waveguide under the pump and signal powers of 300 mW and 1 μW, respectively. These results highlight the potential of the proposed material for realizing on-chip amplifiers and lasers for large-scale nanophotonic integrated circuits.

关键词： photonic circuit integration low fabrication temperature high gain rare earth material waveguide amplifier

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A review of multimodal learning for text to images

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Multimedia Tools and Applications 2025年第10期84卷 8205-8245页

作者： Chen, Wei Yang, Yuqing Tian, Zijian Chen, Qiteng Liu, Jueting School of Computer Science & Technology China University of Mining and Technology Xuzhou221116 China Engineering Research Center of Mine Digitization Ministry of Education China University of Mining and Technology Xuzhou221116 China Beijing100083 China

Information exists in various forms in the real world, and the effective interaction and fusion of multimodal information plays a key role in the research of computer vision and deep learning. Generating an image that matches a given text description is one of the multimodal tasks that requires a strong generative model and cross-modal understanding. This paper provided a comprehensive analysis of recent advances in text-generated images and a taxonomy based on model architecture and characteristics. We introduced the classification of text generated image based on different frames, including text generated image method based on generation adversarial network, transformer and diffusion model. This paper introduced the network structure, advantages and disadvantages of each method, the benchmark data set and corresponding evaluation index, and summarized the application progress and experimental results according to different classification methods. Finally, we provided insights into current research challenges and possible future research directions and applications. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Generative adversarial networks

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IoT Smart Devices Risk Assessment Model Using Fuzzy Logic and PSO

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computers, Materials & Continua 2024年第2期78卷 2245-2267页

作者： Ashraf S.Mashaleh Noor Farizah Binti Ibrahim Mohammad Alauthman Mohammad Almseidin Amjad Gawanmeh School of Computer Sciences Universiti Sains MalaysiaPenangMalaysia Department Computer Center Al-Balqa Applied UniversitySaltJordan Department of Information Security Faculty of Information TechnologyUniversity of PetraAmmanJordan Department of Computer Science Tafila Technical UniversityTafilaJordan College of Engineering and IT University of DubaiDubaiUnited Arab Emirates

Increasing Internet of Things(IoT)device connectivity makes botnet attacks more dangerous,carrying catastrophic *** IoT botnets evolve,their dynamic and multifaceted nature hampers conventional detection *** paper proposes a risk assessment framework based on fuzzy logic and Particle Swarm Optimization(PSO)to address the risks associated with IoT *** logic addresses IoT threat uncertainties and ambiguities *** component settings are optimized using PSO to improve *** methodology allows for more complex thinking by transitioning from binary to continuous *** of expert inputs,PSO data-driven tunes rules and membership *** study presents a complete IoT botnet risk assessment *** methodology helps security teams allocate resources by categorizing threats as high,medium,or low *** study shows how CICIoT2023 can assess cyber *** research has implications beyond detection,as it provides a proactive approach to risk management and promotes the development of more secure IoT environments.

关键词： IoT botnet detection risk assessment fuzzy logic particle swarm optimization(PSO) cybersecurity interconnected devices

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