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MLFuse: Multi-Scenario Feature Joint Learning for Multi-Modality Image Fusion

IEEE Transactions on Multimedia 2025年

作者： Lei, Jia Li, Jiawei Liu, Jinyuan Wang, Bin Zhou, Shihua Zhang, Qiang Wei, Xiaopeng Kasabov, Nikola K. Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian116622 China University of Science and Technology Beijing School of Computer and Communication Engineering Beijing100083 China Dalian University of Technology School of Mechanical Engineering Dalian116024 China Dalian University of Technology School of Computer Science and Technology Dalian116024 China Auckland University of Technology Knowledge Engineering and Discovery Research Institute Auckland1010 New Zealand Ulster University Intelligent Systems Research Center LondonderryBT52 1SA United Kingdom

Multi-modality image fusion (MMIF) entails synthesizing images with detailed textures and prominent objects. Existing methods tend to use general feature extraction to handle different fusion tasks. However, these methods have difficulty breaking fusion barriers across various modalities owing to the lack of targeted learning routes. In this work, we propose a multi-scenario feature joint learning architecture, MLFuse, that employs the commonalities of multi-modality images to deconstruct the fusion progress. Specifically, we construct a cross-modal knowledge reinforcing network that adopts a multipath calibration strategy to promote information communication between different images. In addition, two professional networks are developed to maintain the salient and textural information of fusion results. The spatial-spectral domain optimizing network can learn the vital relationship of the source image context with the help of spatial attention and spectral attention. The edge-guided learning network utilizes the convolution operations of various receptive fields to capture image texture information. The desired fusion results are obtained by aggregating the outputs from the three networks. Extensive experiments demonstrate the superiority of MLFuse for infrared-visible image fusion and medical image fusion. The excellent results of downstream tasks (i.e., object detection and semantic segmentation) further verify the high-quality fusion performance of our method. The code is publicly available at https://***/jialei-sc/MLFuse. © 1999-2012 IEEE.

关键词： Semantic Segmentation

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Human-Centric Goal Reasoning with Ripple-Down Rules

arXiv

引用

arXiv 2024年

作者： Brameld, Kenji Sammut, Claude Castro, Germán Roberts, Mark Aha, David W. School of Computer Science and Engineering The University of New South Wales Australia Navy Center for Applied Research in AI Naval Research Laboratory WashingtonDC20375 United States

ActorSim is a goal reasoning framework developed at the Naval Research Laboratory. Originally, all goal reasoning rules were hand-crafted. This work extends ActorSim with the capability of learning by demonstration, that is, when a human trainer disagrees with a decision made by the system, the trainer can take over and show the system the correct decision. The learning component uses Ripple-Down Rules (RDR) to build new decision rules to correctly handle similar cases in the future. The system is demonstrated using the RoboCup Rescue Agent Simulation, which simulates a city-wide disaster, requiring emergency services, including fire, ambulance and police, to be dispatched to different sites to evacuate civilians from dangerous situations. The RDRs are implemented in a scripting language, FrameScript, which is used to mediate between ActorSim and the agent simulator. Using Ripple-Down Rules, ActorSim can scale to an order of magnitude more goals than the previous version. © 2024, CC BY.

关键词： Research laboratories

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Hierarchical Reverse Games for the Resource Ecosystem in Cloud-Edge Computing

引用

IEEE Transactions on Consumer Electronics 2024年

作者： Pei, Manlin Wang, Chenyu Wang, Xia Zheng, Zhigao Huang, Jianhui Wang, Shengling Guo, Yufei School of Computer and Information Technology Beijing Jiaotong University Beijing China Department of Computer Science Georgia State University United States Beijing University of Technology School of Statistics and Data Science Faculty of Science Beijing China Institute of Artificial Intelligence School of Computer Science National Engineering Research Center for Multimedia Software Hubei Key Laboratory of Multimedia and Network Communication Engineering Hubei Luojia Laboratory Wuhan University Wuhan China Chinese Academy of Sciences Institute of Computing Technology Beijing China Beijing Normal University School of Artificial Intelligence Beijing China George Washington University Department of Statistics United States

Edge computing has emerged as a killer technology for a hyper-connected world due to its distributed architecture and customer-proximity property. Combined edge nodes with the cloud data center, a cloud-edge computing paradigm is formed, whose resource ecosystem calls for competitive pricing and optimal resource allocation. However, it is not feasible to realize global information-based optimization since some information is kept private to their owners. To solve this challenge, this paper develops the user-independent hierarchical reverse game and the user-assisted hierarchical reverse game to depict the relationship among the resource provider, the resource tenant, and the resource user. The aim is to seek the optimal strategies for players without revealing any private information. The common trait of both games is to force the players to report the optimal strategies based on their actual private information. This salient trait can produce privacy-preservation optimization since there is no requirement for the players to release their individual information directly, and the optimal strategies of other players can be deduced naturally. The difference between the user-independent hierarchical reverse game and the user-assisted one is that the game rules are stipulated entirely by the provider and the tenants (edge nodes) in the former, while some game rules can be customized according to the advice of users in the latter. This leads the user-independent hierarchical reverse game is more concise and easy to guarantee the incentive compatibility constraint, while the user-assisted hierarchical reverse game can attract more users since the game rules can adapt to their economic status, requirements, and preferences. © 1975-2011 IEEE.

关键词： Cloud platforms

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Creation of cylindrical vector beams through highly anisotropic scattering media with a single scalar transmission matrix calibration

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Photonics Research 2022年第7期10卷 1617-1623页

作者： QIAN ZHAO SHIJIE TU QIANNAN LEI CHENGSHAN GUO QIWEN ZHAN YANGJIAN CAI Shandong Provincial Engineering and Technical Center of Light Manipulations&Shandong Provincial Key Laboratory of Optics and Photonic Device School of Physics and ElectronicsShandong Normal UniversityJinan 250358China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Physical Science and Technology Soochow UniversitySuzhou 215006China

Cylindrical vector(CV)beams have attracted increasing interest due to their particular properties and their applications in optical imaging,optical manipulation,and light-matter ***,it is challenging to construct CV beams through highly anisotropic scattering media(HASM),such as thick biological tissue,posing a barrier to the applications of CV beams that involve ***,we present a scheme to construct CV beams beyond high scattering that only requires a single scalar transmission matrix(TM)calibration and manipulation of the spatial degrees of freedom of the scalar input *** by a radial polarization converter(S-waveplate)and a polarizer,the scheme enables one to obtain the correct incident wavefront for the creation of CV beams through HASM with only one single scalar TM *** to the existing method,this user-friendly approach is fast and simple in terms of the optical implements and *** radially and azimuthally polarized beams are experimentally constructed through a Zn O scattering layer to demonstrate the viability of the *** generalized CV beams and arrays of CV beams are also created through the HASM to further prove the flexibility of the *** believe this work may pave the way for applications of CV beams that involve a highly anisotropic scattering environment.

关键词： method scalar anisotropic

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Soft Constraint in Local Structure Approximation-PINN

Soft Constraint in Local Structure Approximation-PINN

引用

Artificial Intelligence (CAI), IEEE Conference on

作者： Jian Cheng Wong Pao-Hsiung Chiu Chinchun Ooi My Ha Dao Institute of High Performance Computing Agency for Science Technology and Research (A*STAR) Singapore School of Computer Science and Engineering Nanyang Technological University (NTU) Singapore Center for Frontier AI Research Agency for Science Technology and Research (A*STAR) Singapore

ISBN: (数字)9798350354096

ISBN: (纸本)9798350354102

We previously presented a novel loss formulation for efficient learning of complex dynamics from governing physics, typically described by partial differential equations (PDEs), using physics-informed neural networks (PINNs). In these experiments, the incorporation of a Boundary Connectivity (BCXN) loss function was shown to greatly improve physics-informed learning across many problems, especially those with complex geometries. However, this imposition may not always be ideal, as the previously presented BCXN-loss strongly enforces a linear local structure at the boundary. While this assumption helps facilitate faster learning with an order of magnitude sparser training samples, this can adversely impact convergence in other situations. Hence, we propose a modification of this BCXN-loss that reduces the imposed structure to a soft constraint, allowing for more flexible learning and convergence. We further demonstrate the potential for this method to improve the convergence and performance of LSA-PINN across additional numerical experiments, with much smaller errors than existing methods in terms of the standard L2-norm metric. In particular, we have applied this method to the modelling of flow past complex geometries such as airfoils, which serve as the basic building block for various applications in fluid dynamics and renewable energy (e.g., in wind and tidal turbine design).

关键词： Geometry Training Renewable energy sources Wind energy Fluid dynamics Wind turbines Wind forecasting

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Estimation of Comfort or Discomfort State During Sleep Using Lower Limb Movement Features

Estimation of Comfort or Discomfort State During Sleep Using...

引用

2025 IEEE International Conference on Consumer Electronics, ICCE 2025

作者： Zhou, Shuzhen Masuda, Hazuki Yamamoto, Kazutaka Fuke, Kenta Okada, Shima Sakaue, Yusuke Aoki, Taizo Maruyama, Hiroshi Graduate School of Science and Engineering Ritsumeikan University Shiga Japan Department of Robotics Ritsumeikan University Shiga Japan Global Innovation Research Organization Ritsumeikan University Shiga Japan Product Analysis Center Panasonic Holdings Corporation Osaka Japan

ISBN: (纸本)9798331521165

Sleep is a daily and essential activity. A higher occurrence of mid-sleep awakenings, increased body movements, and changes in sleep stages have been reported due to high-temperature/humidity and low-temperature environments. Thus, strategies for adjusting the thermal environment are necessary for comfortable sleep. One of the methods to improve thermal comfort and sleep quality is using airflow devices that control the in-bed environment. However, it might be challenging to achieve a satisfactory thermal environment due to the problem of overcooling. So, real-time control of temperature and humidity conditions and the sleeper's perceived level of comfort or discomfort is required to achieve perfect conditions for good sleep. In this study, we hypothesized that body movements during sleep appear not only with sleep depth transitions but also in response to changes in the uncomfortable in-bed temperature and humidity condition and that characteristics of pleasantness and uncomfortableness are reflected in the waveform of foot acceleration and angular acceleration, enabling real-time assessment of comfort and discomfort states based on the body movement waveform during sleep. Based on these assumptions, an experiment was conducted with five subjects who were asked to sleep in a comfortable sleeping environment created by using a blower device to supply air from the foot and in an environment without airflow. The videos of their sleep were recorded, and lower limb acceleration and angular acceleration were measured during sleep under two conditions: pleasant and unpleasant temperatures. To clarify the acceleration characteristics at each sleep stage and estimate the comfort and discomfort state, we referred to the FLACC behavior scale, commonly used to assess pain and discomfort. Originally developed to assess the condition of infants, it can also be used for individuals who cannot communicate. By assigning to the face (F), lower limb (L), and activity (A) parts of the

关键词： Sleep research

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Leveraging Residual Deep Neural Networks and Multi-Device Sensors for Heterogeneous Activity Recognition 47

Leveraging Residual Deep Neural Networks and Multi-Device Se...

引用

47th International Conference on Telecommunications and Signal Processing, TSP 2024

作者： Mekruksavanich, Sakorn Phaphan, Wikanda Jitpattanakul, Anuchit School of Information and Communication Technology University of Phayao Department of Computer Engineering Phayao Thailand Research Group in Statistical Learning and Inference King Mongkut's University of Technology North Bangkok Department of Applied Statistics Faculty of Applied Science Bangkok Thailand Intelligent and Nonlinear Dynamic Innovations Research Center King Mongkut's University of Technology North Bangkok Department of Mathematics Faculty of Applied Science Bangkok Thailand

ISBN: (纸本)9798350365597

This study introduces a novel approach to identifying human activities using wearable sensors, particularly smart-phones and smartwatches. By leveraging deep learning neural networks and data from the HHAR dataset, which includes accelerometer and gyroscope data from individuals engaged in various activities, our method, centered around the HAR-Res NeXt model, accurately detects six activities. Utilizing residual connections and multi-kernel blocks, our approach effectively captures temporal and spatial relationships in sensor data. Experimental results demonstrate superior performance to standard machine learning algorithms and other deep learning approaches for human activity recognition. HAR-ResNeXt achieves high accuracy rates, particularly in classifying smartphone sensor data, underscoring its adaptability across diverse scenarios. Comparative analysis reveals the effectiveness of smartphone sensors and emphasizes the importance of multi-modal sensor fusion for accurate activity detection. © 2024 IEEE.

关键词： Smartphones

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TupleChain: Fast Lookup of OpenFlow Table with Multifaceted Scalability

arXiv

引用

arXiv 2024年

作者： Li, Yanbiao Ren, Neng Wang, Xin Chen, Yuxuan Zhang, Xinyi Guo, Lingbo Xie, Gaogang Computer Network Information Center Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Department of Electrical and Computer Engineering Stony Brook University Stony BrookNY United States

OpenFlow switches are fundamental components of software defined networking, where the key operation is to look up flow tables to determine which flow an incoming packet belongs to. This needs to address the same multi-field rule-matching problem as legacy packet classification, but faces more serious scalability challenges. The demand of fast on-line updates makes most existing solutions unfit, while the rest still lacks the scalability to either large data sets or large number of fields to match for a rule. In this work, we propose TupleChain for fast OpenFlow table lookup with multifaceted scalability. We group rules based on their masks, each being maintained with a hash table, and explore the connections among rule groups to skip unnecessary hash probes for fast search. We show via theoretical analysis and extensive experiments that the proposed scheme not only has competitive computing complexity, but is also scalable and can achieve high performance in both search and update. It can process multiple millions of packets per second, while dealing with millions of on-line updates per second at the same time, and its lookup speed maintains at the same level no mater it handles a large flow table with 10 million rules or a flow table with every entry having as many as 100 match fields. Copyright © 2024, The Authors. All rights reserved.

关键词： Table lookup

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Long-Term Preservation of Electronic Record Based on Digital Continuity in Smart Cities

引用

computers, Materials & Continua 2021年第3期66卷 3271-3287页

作者： Yongjun Ren Kui Zhu Yuqiu Gao Jinyue Xia Shi Zhou Ruiguo Hu Xiujuan Feng School of Computer and Software Engineering Research Center of Digital ForensicsMinistry of EducationNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjing210044China Changwang School of Honors Nanjing University of Information Science&TechnologyNanjing210044China International Business Machines Corporation(IBM) USA School of Architectural and Surveying&Mapping Engineering Jiangxi University of Science and TechnologyGan Zhou341000China

Under the co-promotion of the wave of urbanization and the rise of data science,smart cities have become the new concept and new practice of urban *** cities are the combination of information technology represented by the Internet of Things,cloud computing,mobile networks and big data,and *** to effectively achieve the long-term preservation of massive,heterogeneous,and multi-source digital electronic records in smart cities is a key issue thatmust be *** continuity can ensure the accessibility,integrity and availability of *** quality management of electronic record,like the quality management of product,will run through every phase of the urban *** on data quality management,this paper constructs digital continuity of smart city electronic ***,thework in this paper ensures the authenticity,integrity,availability and timeliness of electronic documents by quality management of electronic *** paper elaborates on the overall technical architecture of electronic record,as well as the various technical means needed to protect its four characteristics.

关键词： Smart city electronic record long term preservation digital continuity

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M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought

arXiv

引用

arXiv 2024年

作者： Chen, Qiguang Qin, Libo Zhang, Jin Chen, Zhi Xu, Xiao Che, Wanxiang Research Center for Social Computing and Information Retrieval Harbin Institute of Technology China School of Computer Science and Engineering Central South University China Shanghai AI Laboratory China

Multi-modal Chain-of-Thought (MCoT) requires models to leverage knowledge from both textual and visual modalities for step-by-step reasoning, which gains increasing attention. Nevertheless, the current MCoT benchmark still faces some challenges: (1) absence of visual modal reasoning, (2) single-step visual modal reasoning, and (3) Domain missing, thereby hindering the development of MCoT. Motivated by this, we introduce a novel benchmark (M3CoT) to address the above challenges, advancing the multi-domain, multi-step, and multi-modal CoT. Additionally, we conduct a thorough evaluation involving abundant MCoT approaches on Vision Large Language Models (VLLMs). In addition, we highlight that the current VLLMs still struggle to correctly reason in M3CoT and there remains a large gap between existing VLLMs and human performance in M3CoT, despite their superior results on previous MCoT benchmarks. To our knowledge, we take the first meaningful step toward the multi-domain, multi-step, and multi-modal scenario in MCoT. We hope that M3CoT can serve as a valuable resource, providing a pioneering foundation in multi-domain, multi-step, multi-modal chain-of-thought research. © 2024, CC BY-NC-SA.

关键词： Benchmarking

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