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2024 IEEE International Conference on Unmanned systems, ICUS 2024

作者： Chen, Xiubin Zhang, Lei Xu, Fang Yao, Weiran School of Astronautics Harbin Institude of Technology Harbin China Wuhan 2nd Ship Design and Research Institute Wuhan China Marine Military Intelligence Innovation Institute CSSC Systems Engineering Research Institute Beijing China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Beijing China

ISBN: (纸本)9798350384185

Traditional task allocation methods for unmanned swarm systems ignore the effects of actual paths, resulting in estimation accuracy *** paper formulates task planning problem by incorporating physical and logical constraints, and establishes an integrated framework of task allocation and path ***-based search method is used to address path planning with physical constraints.A genetic algorithm is employed to solve multi-traveling salesman allocation problem.A bounded suboptimal optimization, a data dictionary, and an island model are introduced to accelerate the convergence speed of the genetic *** experiments verify that compared to the decoupled task planning methods, the proposed method improves task execution efficiency and remains adaptability to various complex spatial maps. © 2024 IEEE.

关键词： Genetic algorithms

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A B-Spline Global Optimization Algorithm for Optimal Power Flow Problem 6th

A B-Spline Global Optimization Algorithm for Optimal Power F...

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6th World Congress on Global Optimization, WCGO 2019

作者： Gawali, Deepak D. Patil, Bhagyesh V. Zidna, Ahmed Nataraj, Paluri S. V. Vidyavardhini’s College of Engineering and Technology Palghar India Cambridge Centre for Advanced Research and Education In Singapore Singapore Singapore John Deere Technology Centre Magarpatta City Pune India LGIPM University of Lorraine Metz France Systems and Control Engineering Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9783030218027

This paper addresses a nonconvex optimal power flow problem (OPF). Specifically, a new B-spline approach in the context of OPF problem is introduced. The applicability of this new approach is shown on a real-world 3-bus power system. The numerical results obtained with this new approach for this problem a 3-bus system reveal a satisfactory improvement in terms of optimality when compared against traditional interior-point method based MATPOWER toolbox. Similarly, the results are also found to be satisfactory with respect to the global optimization solvers like BARON and GloptiPoly. © 2020, Springer Nature Switzerland AG.

关键词： Constrained optimization

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TS-NeRF: temporal and structural regularization for few-shot neural radiance fields 3

TS-NeRF: temporal and structural regularization for few-shot...

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3rd International Conference on Electronic Information engineering, Big Data, and Computer technology, EIBDCT 2024

作者： Wei, Yunpei Zhang, Weimin Li, Fangxing Guo, Ziyuan School of Mechatronical Engineering Beijing Institute of Technology Beijing China Zhengzhou Academy of Intelligent Technology Zhengzhou China Key Laboratory of Biomimetic Robots and Systems Beijing Institute of Technology Ministry of Education Beijing China Wuhan Second Ship Design and Research Institute Wuhan China

ISBN: (纸本)9781510680449

For NeRF(Neural Radiance Fields), synthesizing new views from sparse inputs poses a challenge as too few inputs can lead to artifacts in the rendered views. Recent methods have tackled this issue by introducing external supervision or utilizing regularization based on priors like depth to enhance reconstruction quality. Few-shot NeRF requires additional constraint information to ensure reconstruction quality. To address this, we employed two novel regularization methods. Firstly, we introduced a loss related to view structure, reshaping multiple random points into a batch to capture the relationships between points. This structural regularization method is termed SSLIP. Additionally, studies indicate that high-frequency signals during reconstruction hinder neural networks from effectively learning low-frequency information. Based on this research, we improved the encoding of positional codes, enabling their frequency to increase with the number of training iterations, referred to as temporal regularization. This enhancement ensures NeRF effectively learns lowfrequency information during the initial training stages. Our method, building upon the current state-of-the-art ViP-NeRF model, achieved superior results on the LLFF dataset. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Image processing

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Three-dimensional super-resolution longitudinal magnetization spot arrays

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Light(Science & Applications) 2017年第1期6卷 630-637页

作者： Zhong-Quan Nie Han Lin Xiao-Fei Liu Ai-Ping Zhai Yan-Ting Tian Wen-Jie Wang Dong-Yu Li Wei-Qiang Ding Xue-Ru Zhang Ying-Lin Song Bao-Hua Jia Key Lab of Advanced Transducers and Intelligent Control Systems Ministry of Education of Shanxi ProvinceCollege of Physics and OptoelectronicsTaiyuan University of TechnologyTaiyuan 030024China Centre for Micro-Photonics Faculty of ScienceEngineering and TechnologySwinburne University of TechnologyHawthornVictoria 3122Australia Department of Science Taiyuan Institute of TechnologyTaiyuan 030008China Department of Physics Lingnan Normal UniversityZhanjiang 524048China Department of Physics Harbin Institute of TechnologyHarbin 150001China

We demonstrate an all-optical strategy for realizing spherical three-dimensional(3D)super-resolution(∼λ3/22)spot arrays of pure longitudinal magnetization by exploiting a 4πoptical microscopic setup with two high numerical aperture(NA)objective lenses,which focus and interfere two modulated vectorial *** phase filters(MPFs)are designed via an analytical approach derived from the vectorial Debye diffraction theory to modulate the two circularly polarized *** system is tailored to constructively interfere the longitudinal magnetization components,while simultaneously destructively interfering the azimuthal *** a result,the magnetization field is not only purely longitudinal but also super-resolved in all three ***,the MPFs can be designed analytically to control the number and locations of the super-resolved magnetization spots to produce both uniform and nonuniform arrays in a 3D ***,an all-optical control of all the properties of light-induced magnetization spot arrays has been demonstrated for the first *** results open up broad applications in magnetic-optical devices such as confocal and multifocal magnetic resonance microscopy,3D ultrahigh-density magneto-optic memory,and light-induced magneto-lithography.

关键词： inverse Faraday effect longitudinal magnetization magnetic-optical devices magneto-optics vectorial beams vectorial Debye diffraction theory

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Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments 13

Exchange Strategies for Multi-Colony Ant Algorithms in Dynam...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Mavrovouniotis, Michalis Li, Changhe Yazdani, Danial Handjimitsis, Diofantos Eratosthenes Centre of Excellence Limassol Cyprus Cyprus University of Technology Department of Civil Engineering and Geomatics Limassol Cyprus School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China University of Technology Sydney Faculty of Engineering & Information Technology Sydney Australia

ISBN: (纸本)9798350308365

In dynamic optimization problems where optimal solutions change over time, traditional ant colony optimization (ACO) algorithms face limitations. This study explores the adaptation of multi-colony ACO algorithms, known for their enhanced search capabilities in stationary problems, to tackle optimization problems in dynamic environments. Various strategies for exchanging information between colonies, which is a critical factor influencing algorithm performance, are investigated. Using the dynamic traveling salesman problem as a foundation, we generate test cases to reflect real-world complexities. Our results on a set of problem instances reveal that the choice of communication strategy between colonies significantly impacts the adaptability and efficiency of multi-colony ACO algorithms in tracking moving optimum. © 2024 IEEE.

关键词： Ant colony optimization

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research on ship Target Recognition Based on Maritime Radar Images 7

Research on Ship Target Recognition Based on Maritime Radar ...

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7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023

作者： Li, Yi Xie, Lei Guo, Tao Ou, Changkui Hu, Xinyuan Wuhan University of Technology School of Transportation and Logistics Engineering State Key Laboratory of Maritime Technology and Safety WuHan China Wuhan University of Technology State Key Laboratory of Maritime Technology and Safety Intelligent Transportation Systems Research Centre WuHan China

ISBN: (纸本)9798350308532

This paper proposes a solution for co-channel interference and sea clutter in radar images. Firstly, noise reduction is achieved using median filtering. To address sea clutter interference, inter-frame differencing is combined with the K-distribution model and maximum likelihood estimation is used to estimate model parameters. A thresholding approach based on the estimated model is then applied to balance sea clutter suppression while preserving target signals. Additionally, inter-frame differencing is used to separate target signals from noise signals. ship target recognition and tracking are also performed in the images. The results show improved image quality and enhanced ship recognition and tracking effectiveness after denoising. © 2023 IEEE.

关键词： Maximum likelihood estimation

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Integrated space–frequency–time domain feature extraction for MEG-based Alzheimer’s disease classification

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Brain Informatics 2021年第1期8卷 24页

作者： Yang, Su Bornot, Jose Miguel Sanchez Fernandez, Ricardo Bruña Deravi, Farzin Wong-Lin, KongFatt Prasad, Girijesh Department of Computer Science Swansea University Swansea United Kingdom Intelligent Systems Research Centre School of Computing Eng & Intel. Sys Ulster University Derry-LondonderryNorthern Ireland United Kingdom School of Engineering and Digital Arts at the University of Kent Canterbury United Kingdom Centre for Biomedical Technology Technical University of Madrid Madrid Spain

Magnetoencephalography (MEG) has been combined with machine learning techniques, to recognize the Alzheimer’s disease (AD), one of the most common forms of dementia. However, most of the previous studies are limited to binary classification and do not fully utilize the two available MEG modalities (extracted using magnetometer and gradiometer sensors). AD consists of several stages of progression, this study addresses this limitation by using both magnetometer and gradiometer data to discriminate between participants with AD, AD-related mild cognitive impairment (MCI), and healthy control (HC) participants in the form of a three-class classification problem. A series of wavelet-based biomarkers are developed and evaluated, which concurrently leverage the spatial, frequency and time domain characteristics of the signal. A bimodal recognition system based on an improved score-level fusion approach is proposed to reinforce interpretation of the brain activity captured by magnetometers and gradiometers. In this preliminary study, it was found that the markers derived from gradiometer tend to outperform the magnetometer-based markers. Interestingly, out of the total 10 regions of interest, left-frontal lobe demonstrates about 8% higher mean recognition rate than the second-best performing region (left temporal lobe) for AD/MCI/HC classification. Among the four types of markers proposed in this work, the spatial marker developed using wavelet coefficients provided the best recognition performance for the three-way classification. Overall, the proposed approach provides promising results for the potential of AD/MCI/HC three-way classification utilizing the bimodal MEG data. © 2021, The Author(s).

关键词： Biomarkers

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Towards More Efficient EfficientDets and Real-Time Marine Debris Detection

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IEEE Robotics and Automation Letters 2023年第4期8卷 2134-2141页

作者： Zocco, Federico Lin, Tzu-Chieh Huang, Ching-I Wang, Hsueh-Cheng Khyam, Mohammad Omar Van, Mien Queen's University Belfast Centre for Intelligent Autonomous Manufacturing Systems School of Electronics Electrical Engineering and Computer Science Northern IrelandBT7 1NN United Kingdom Hsinchu City30010 Taiwan Institute of Electrical and Control Engineering Hsinchu City30010 Taiwan Labs Hsinchu Taiwan Central Queensland University School of Engineering and Technology Norman Gardens QLD4701 Australia

Marine debris is a problem both for the health of marine environments and for the human health since tiny pieces of plastic called 'microplastics' resulting from the debris decomposition over the time are entering the food chain at any levels. For marine debris detection and removal, autonomous underwater vehicles (AUVs) are a potential solution. In this letter, we focus on the efficiency of AUV vision for real-time marine debris detection. First, we improved the efficiency of a class of state-of-the-art object detectors, namely EfficientDets [1], by 1.5% AP on D0, 2.6% AP on D1, 1.2% AP on D2 and 1.3% AP on D3 without increasing the GPU latency (see Fig. 1). Subsequently, we created and made publicly available a dataset for the detection of in-water plastic bags and bottles and trained our improved EfficientDets on this and on two public datasets for marine debris detection. Finally, we began the testing of real-time detection performance on a simulator of marine environments. © 2016 IEEE.

关键词： Real time systems

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Optimal design of alloy steels using evolutionary computing 4

Optimal design of alloy steels using evolutionary computing

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4th International Conference on Knowledge-Based intelligent engineering systems and Allied Technologies, KES 2000

作者： Mahfouf, M. Tenner, J. Linkens, D.A. Abbod, M.F. Department of Automatic Control and Systems Engineering The University of Sheffield Mappin Street SheffieldSI 3JD United Kingdom Corus Research Development and Technology Swinden Technology Centre Moorgate Rotherham United Kingdom

ISBN: (纸本)0780364007

Over the last four years efforts have been devoted towards the development and validation of mechanical test result models relating to a range of alloy steels. Several neural-network based models have been developed, two of which are related to the mechanical test results of Ultimate Tensile Strength (UTS) and Reduction of Area (ROA). The ultimate aim of developing these models is to pave the way to process optimisation through better predictions of mechanical properties. In this research we propose to exploit such neural network models in order to determine the optimal alloy composition and heat treatment temperatures required, given certain predefined mechanical properties such as the UTS and ROA. Genetic Algorithms are used for this purpose. The results obtained are very encouraging. © 2000 IEEE

关键词： Alloy steel

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All-optical logic gates based on hierarchical photonic crystal modulated photoluminescence of perovskite nanocrystals

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Science China(Technological Sciences) 2023年第9期66卷 2735-2742页

作者： WANG Yun ZHA YanFang YANG YunYi LIU CiHui DI YunSong CAO GuiYuan WEI ShiBiao CHEN ZhiHui GAN ZhiXing Center for Future Optoelectronic Functional Materials School of Computer and Electronic InformationSchool of Artificial IntelligenceNanjing Normal UniversityNanjing 210023China Centre for Translational Atomaterials School of ScienceSwinburne University of TechnologyHawthorn VIC 3122Australia Nanophotonics Research Center Shenzhen Key Laboratory of Micro-Scale Optical Information TechnologyShenzhen UniversityShenzhen 518060China Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education and Shanxi ProvinceCollege of Electronic Information and Optical EngineeringTaiyuan University of TechnologyTaiyuan 030024China

Halide perovskites exhibit high performance in all sorts of optoelectronic and photonic areas, suggesting their huge potential in integrated photonic devices. However, until now, all optical logic gates based on perovskites are still rarely explored, hindering the development of all-optical networks and computing. Herein, a new concept of all-optical logic gates is proposed based on the modulation of photoluminescence(PL) from perovskite nanocrystals(PNCs). A hierarchical photonic crystal(Hie PhC) is developed by self-assembling polystyrene(PS) and SiO2nanoparticles, which exhibit a higher PL enhancement than that of a monolayer PhC. Moreover, the light-controlled PL is realized by taking advantage of the high thermal response of the PL from PNCs/Hie PhC on polyethylene(PE) substrate, assisted by a graphene layer for light-heat conversion. Consequently, optical diode and triode are achieved based on the modulated PL, which exhibit contrast ratios(CR) of 24.7 and 74.0 dB, ***-optical logic gates, including “AND”, “OR” and “NOT”, are realized based on the optical diode and triode.

关键词： perovskite nanocrystals photonic crystals all-optical logic gates modulation of photoluminescence

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