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6th International Conference on Applied Computational Intelligence in information systems, ACIIS 2023

作者： Syahidi, Aulia Akhrian Kiyokawa, Kiyoshi Okura, Fumio Politeknik Negeri Banjarmasin Smart City Information System Department of Electrical Engineering Banjarmasin Indonesia Nara Institute of Science and Technology Division of Information Science Nara Ikoma Japan Osaka University Graduate School of Information Science and Technology Osaka Suita Japan

ISBN: (纸本)9798350317428

Research interest in the application of Computer Vision (CV) in the context of smart cities has grown significantly in recent years. However, finding relevant studies in databases can be challenging due to the use of non-explicit or varying terms. To address this issue, this research aims to conduct a literature review by collecting papers that discuss the application of CV for smart city needs. The method used is a mapping review, with the following stages: 1) Establishing research questions;2) Selecting relevant reference sources based on relevant databases;3) Identifying appropriate keywords;4) Conducting screening based on criteria;and 5) Extracting and synthesizing relevant data. For this research, we selected a total of 35 papers as the primary review. Our findings show that research trends and interests vary widely, with the most prevalent being in smart mobility components, which on average come from the IEEE Xplore Digital Library database. YOLO and CNN algorithms are also widely used to solve problems. Furthermore, we conclude that there are many benefits to be gained from the application of this technology to support the sustainable development of smart cities, including ensuring the quality of life of their inhabitants. © 2023 IEEE.

关键词： Computer vision

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Ultraclean transfer of graphene by mechanically exfoliating polymer with modified crosslink density

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Nano Research 2024年第8期17卷 6795-6802页

作者： Qi Lu Jiawei Yang Chaofan Zhou Zhaoning Hu Saiyu Bu Bingbing Guo Yixuan Zhao Junhao Liao Mingpeng Shang Ge Chen Kaicheng Jia Jianbo Yin Qiang Zeng Li Lin Zhongfan Liu College of Science China University of Petroleum(Beijing)Beijing 102249China School of Materials Science and Engineering Peking UniversityBeijing 100871China Center for Nanochemistry Beijing Science and Engineering Center for NanocarbonsBeijing National Laboratory for Molecular ScienceCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China Beijing Graphene Institute Beijing 100095China Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Academy for Advanced Interdisciplinary Studies Peking UniversityBeijing 100871China Department of Electronics Peking UniversityBeijing 100871China Second Clinical Division National Engineering Laboratory for Digital and Material Technology of StomatologyPeking University School and Hospital of StomatologyBeijing 100081China

The transfer of graphene from metallic substrates onto application-specific substrates is usually inevitable for the applications of high-quality graphene films derived from chemical vapour deposition(CVD)*** used to support the graphene films during the transfer,the coating of the polymer would produce the surface contaminations and hinder the industrially compatible *** this work,through the thermal imidization of polyamide acid(PAA)to polyimide(PI)and tuning of the concentration of dangling chains,we achieved the ultraclean and crack-free transfer of graphene wafers with high electronic *** resulting contamination-free and hydrophilic surface also enabled the observed improved cell viability in a biomedical *** avoiding aqueous etching or the usage of strong bases,our proposed transfer method is industrially compatible for batch transfer of graphene films towards the real applications.

关键词： chemical vapour deposition(CVD)graphene films graphene transfer ultraclean transfer transfer medium crosslink density cell viability assay

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Eco-friendly small molecule with polyhydroxyl ketone as buried interface chelator for enhanced carrier dynamics toward high-performance perovskite solar cells

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science China Materials 2025年第4期68卷 1249-1258页

作者： Rui Wu Bingxin Ding Shuping Xiao Wuchen Xiang Yiheng Gao Bobo Yuan Zhongli Qin Xiangbai Chen Pingli Qin Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of TechnologyWuhan 430205China School of Electronics and Information Engineering Hubei University of Science and TechnologyXianning 437100China School of Optoelectronic Information and Energy Engineering Wuhan Institute of TechnologyWuhan 430205China

Buried interface defects pose a significant challenge to achieving high efficiency and stability of n-i-p perovskite solar cells(PSCs).A multifunctional material is essential for passivating interface defects,suppressing non-radiative recombination,and facilitating rapid carrier transfer at these ***,a new multifunctional eco-friendly small molecule,D-fructose,was introduced into the interface as a modification layer,playing a significant role in passivating defects not only among SnO_(2) quantum dots(QDs),but also between perovskite and SnO_(2) *** coordination bonds of the C=O group with Pb^(2+)and Sn^(4+)/Sn^(2+),along with the hydrogen bonds of the-OH group with I^(-)in perovskite,contribute to this passivation ***,this multifunctional collaboration at the buried interface not only triggers uniform heterogeneous nucleation across the perovskite precursor film,leading to high-quality perovskite,but also effectively eliminates residual PbI2 at grain boundaries to suppress perovskite *** a more suitable energy level alignment between perovskite and SnO_(2) QDs can smooth the interface barrier,thereby facilitating the formation of an electron bridge for rapid electron extraction and ***,the D-fructose based PSC has achieved a champion efficiency of 24.91%with negligible J-V hysteresis,along with excellent stability.

关键词： D-fructose defect passivation buried interface device stability perovskite solar cells

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Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track

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science China(information sciences) 2023年第5期66卷 196-214页

作者： Yu WANG Jiaojiao YAN Wei HUANG Leszek RUTKOWSKI Jinde CAO School of Mathematics Southeast University Jiangsu Provincial Key Laboratory of Networked Collective Intelligence Southeast University Intelligent Transportation System Research Center Southeast University Systems Research Institute of the Polish Academy of Sciences Institute of Computer Science AGH University of Science and Technology Information Technology Institute University of Social Sciences Yonsei Frontier Lab Yonsei University

Rutting deformation is typical damage to asphalt pavement and can be quantitatively described as the time-varying mechanical deformation feature of the asphalt mixture during the creep process. First,a nonlinear viscoelastic creep model is established based on the Caputo variable-order fractional *** fractional order in this model is not fixed and is defined as a time-varying function. The time-dependent mechanical properties of asphalt mixtures are efectively reflected. Based on the modified Burgers model, the variable-order function is revised to a linear form. Second, the variable-order fractional Burgers rutting model is obtained by fitting the test data of the RIOHTrack full-scale track. The Levenberg-Marquardt optimization algorithm is used to analyze the test data and the corresponding parameters to obtain more accurate and applicable variable-order fractional rutting mechanics and empirical models for diferent asphalt pavement structures. Finally, according to the classification of the pavement structure, structures III and VI are taken as examples. The rutting prediction and comparison results of several representative pavement structures are obtained to verify that the proposed rutting prediction model can also accurately predict all road sections of RIOHTrack. The new model is also compared with the rutting model of the mechanistic-empirical pavement design guide, the fractional-order Burgers rutting model, and the modified Burgers rutting model. The fitting results are evaluated using the determination coefficient R2. The results show that the variable-order fractional Burgers rutting model proposed in this study exhibits a better fit and is more applicable to describe the rutting deformation of asphalt pavement.

关键词： RIOHTrack full-scale track Caputo fractional derivative variable-order fractional modified Burgers model rutting prediction

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Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution

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IEEE Transactions on Multimedia 2022年 1-16页

作者： Wu, Yixuan Li, Feng Bai, Huihui Lin, Weisi Cong, Runmin Zhao, Yao Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing China School of Computer Science and Information Engineering Hefei University of Technology Hefei China School of Computer Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore

Convolutional Neural Network (CNN)-based image super-resolution (SR) has exhibited impressive success on known degraded low-resolution (LR) images. However, this type of approach is hard to hold its performance in practical scenarios when the degradation process (i.e. blur and downsampling) is unknown. Despite existing blind SR methods proposed to solve this problem using blur kernel estimation, the perceptual quality and reconstruction accuracy are still unsatisfactory. In this paper, we analyze the degradation of a high-resolution (HR) image from image intrinsic components according to a degradation-based formulation model. We propose a components decomposition and co-optimization network (CDCN) for blind SR. Firstly, CDCN decomposes the input LR image into structure and detail components in feature space. Then, the mutual collaboration block (MCB) is presented to exploit the relationship between both two components. In this way, the detail component can provide informative features to enrich the structural context and the structure component can carry structural context for better detail revealing via a mutual complementary manner. After that, we present a degradation-driven learning strategy to jointly supervise the HR image detail and structure restoration process. Finally, a multi-scale fusion module followed by an upsampling layer is designed to fuse the structure and detail features and perform SR reconstruction. Empowered by such degradation-based components decomposition, collaboration, and mutual optimization, we can bridge the correlation between component learning and degradation modelling for blind SR, thereby producing SR results with more accurate textures. Extensive experiments on both synthetic SR datasets and real-world images show that the proposed method achieves the state-of-the-art performance compared to existing methods. Author

关键词： Image reconstruction

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Multi-functional metasurface:ultra-wideband/multi-band absorption switching by adjusting guided-mode resonance and local surface plasmon resonance effects

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Communications in Theoretical Physics 2024年第6期76卷 174-184页

作者： Wenxin Li Shubo Cheng Huafeng Zhang Zao Yi Bin Tang Can Ma Pinghui Wu Qingdong Zeng Rizwan Raza School of Physics and Optoelectronic Engineering Yangtze UniversityJingzhouHubei 434023China Joint Laboratory for Extreme Conditions Matter Properties Southwest University of Science and TechnologyMianyang 621010China School of Chemistry and Chemical Engineering Jishou UniversityJishou 416000China School of Microelectronics and Control Engineering Changzhou UniversityChangzhou 213164China Department of Oncology Sichuan Science City HospitalMianyangSichuan Province 621000China Office of Science and Technology Quanzhou Normal UniversityQuanzhou 362000China School of Physics and Electronic-information Engineering Hubei Engineering UniversityXiaogan 432000China Department of Physics COMSATS Institute of Information Technology 54000 LahorePakistan

This study introduces an innovative dual-tunable absorption film with the capability to switch between ultra-wideband and narrowband *** manipulating the temperature,the film can achieve multi-band absorption within the 30-45 THz range or ultra-wideband absorption spanning 30-130 THz,with an absorption rate exceeding ***,the structural parameters of the absorption film are optimized using the particle swarm optimization(PSO)algorithm to ensure the optimal absorption *** absorption response of the film is primarily attributed to the coupling of guided-mode resonance and local surface plasmon resonance *** film's symmetric structure enables polarization incoherence and allows for tuning through various means such as doping/voltage,temperature and structural *** the case of a multi-band absorption response,the film exhibits good sensitivity to refractive index changes in multiple absorption ***,the absorption spectrum of the film remains effective even at large incidence angles,making it highly promising for applications in fields such as biosensing and infrared stealth.

关键词： PSO optimization ultra-wideband/narrowband absorption switching intelligent absorption film vanadium dioxide

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Discovering Frequency Bursting Patterns in Temporal Graphs 39

Discovering Frequency Bursting Patterns in Temporal Graphs

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39th IEEE International Conference on Data engineering, ICDE 2023

作者： Zhang, Qianzhen Guo, Deke Zhao, Xiang Yuan, Long Luo, Lailong National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory China National University of Defense Technology Laboratory for Big Data and Decision China Nanjing University of Science and Technology China

ISBN: (纸本)9798350322279

A frequency bursting pattern (FBP) in temporal graphs represents some interaction behavior that accumulates its frequency at the fastest rate. Mining FBPs is essential to early warning of emergencies. However, existing studies on frequency-based pattern mining in graphs do not consider the temporal information and bursting features of a subgraph pattern. As a result, they may not provide effective and efficient mining algorithms for FBP discovery. In this paper, we study the problem of discovering top-k FBPs in temporal graphs. We present a novel model, referred to as maximal (m, θ)-bursting pattern, to describe FBPs in a temporal graph, which is a subgraph with a size larger than m that accumulates its frequency at the fastest rate during a time interval of length no less than θ. A naive solution for top-k FBPs discovery is to use the best-first search algorithm, where the burstiness threshold changes as more patterns are mined. However, this method will result in huge search space since we need to check every possible time interval for a candidate pattern in the temporal graph. To tackle this problem, we devise an online top-k framework in which k candidate results are maintained from the initial timestamp to the end in the temporal graph. Under the new framework, we further conceive two optimization strategies by exploiting incremental subgraph matching and Evolutionary Game Theory to boost the performance. Extensive experiment results on five real temporal graphs show that our algorithm has higher efficiency, effectiveness and scalability. © 2023 IEEE.

关键词： Game theory

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RESEARCH ON LONG TERM TREND PREDICTION OF NUCLEAR POWER PLANTS BASED ON INTEGRATED FRAMEWORK 31

RESEARCH ON LONG TERM TREND PREDICTION OF NUCLEAR POWER PLAN...

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2024 31st International Conference on Nuclear engineering, ICONE 2024

作者： Canyi, Tan Biao, Liang Bo, Wang Jiangkuan, Li Rui, Han Sichao, Tan Ruifeng, Tian Heilongjiang Provincial Key Laboratory of Nuclear Power System & Equipment Harbin Engineering University Harbin150001 China Key Laboratory of Nuclear Safety and Advanced Nuclear Energy Technology Ministry of Industry and Information Technology Harbin Engineering University Harbin150001 China

ISBN: (纸本)9780791888261

In the current field of nuclear energy, the development of the third generations nuclear power plants(NPPs) are the mainstream, and its safety and economy are the important direction of nuclear energy development. Therefore, the normal, stable and safe operation of the nuclear reactor system is particularly important. In order to improve the safety and stability of the nuclear power system, this paper proposes a life prediction model of a NPP based on a comprehensive framework. In this study, an integrated framework based on BP, LSTM, Informer and other models is built, and the model is verified by the running data of Qinshan simulator. The results show that, compared with the traditional BP and LSTM, the long-term trend prediction model of NPP based on integrated framework has lower MAE and MSE values, indicating that the long-term trend prediction model of NPP based on integrated framework has lower error, which provides strong support for the safe and stable operation of nuclear power system. © 2024 by ASME.

关键词： Prediction models

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A Novel Trajectory Planning Method Based on Trust Region Policy Optimization

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-15页

作者： Ye, Bao-Lin Zhang, Jiajie Li, Lingxi Wu, Weimin Jiaxing Key Laboratory of Smart Transportations the School of Information Science and Engineering Jiaxing University China Elmore Family School of Electrical and Computer Engineering Purdue University Indianapolis USA State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

Trajectory planning method is a research hotspot in autonomous driving. Existing reinforcement learning-based trajectory planning methods suffer from unstable performance due to the strong randomness of network weight parameter updates during the training process. Therefore, this paper proposes a novel trajectory planning method based on deep reinforcement learning trust region policy optimization (TRPO). Firstly, in order to enhance the robustness of the trajectory planning method based on deep reinforcement learning TRPO, a TRPO-LSTM based decision model was proposed. More specifically, a long short term memory (LSTM) based state feature extraction network was designed and embeded into a TRPO-based decision model to enhance the ability of TRPO to extract information from the environmental state space. Secondly, in order to make the planned trajectory adaptive to the dynamic changes of traffic environment, we presented a novel TRPO-LSTM trajectory fitting algorithm. To the best of our knowledge, this is the first work aiming at applying the TRPO-LSTM based decision model in the trajectory fitting process to search the optimal longitudinal trajectory speed. Finally, the proposed trajectory planning method was implemented and simulated on the CARLA simulator. The experimental results show that, compared with existing trajectory planning methods based on deep reinforcement learning algorithms, our proposed method achieves a cumulative reward improvement of over 28.9% in the scenario of four lane highway, and has better robustness. Meanwhile, the proposed method can achieve a lower collision rate of 0.93% while improving the average speed and comfort of vehicle driving. IEEE

关键词： Heuristic algorithms

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High-performance multifunctional(Hf^(0.2)Nb_(0.2)Ta_(0.2)Ti_(0.2)Zr_(0.2))C high-entropy ceramic reinforced with low-loading 3D hybrid graphene–carbon nanotube

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Journal of Advanced Ceramics 2023年第2期12卷 341-356页

作者： Jialin SUN Jun ZHAO Yonghui ZHOU Peng ZHAI Xialun YUN Zhifu HUANG Hui ZHANG Guohua ZHANG School of Mechanical Electrical&Information EngineeringShandong University(Weihai)Weihai 264209China State Key Laboratory for Mechanical Behavior of Materials School of Materials Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education School of Mechanical EngineeringShandong UniversityJinan 250061China State Key Laboratory for Manufacturing System Engineering School of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049China State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 200050China State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China

There has been growing interest in the high-entropy ceramic(HEC)recently owing to its tailorable compositions and microstructures,versatile properties,together with promising structural and functional ***,inferior fracture toughness(KIC)and damage tolerance restricted many practical applications of the ***,we addressed this challenge by incorporating a threedimensional graphene–carbon nanotube(3D G–CNT)as toughening agent in(Hf_(0.2)Nb_(0.2)Ta_(0.2)Ti_(0.2)Zr_(0.2))*** resulting enhanced 3D G–CNT/(Hf_(0.2)Nb_(0.2)Ta_(0.2)Ti_(0.2)Zr_(0.2))C featured an outstanding toughness of 8.23 MPa·m^(1/2),while remaining superior strength(763 MPa)and hardness(24.7 GPa).An ultralow friction coefficient(0.15)coupled with an ultralow wear rate(w,2.6×10^(−7) mm^(3)/(N·m))in the 3D G–CNT/(Hf_(0.2)Nb_(0.2)Ta_(0.2)Ti_(0.2)Zr_(0.2))C was obtained primarily as a function of lubricating scrolls,in which two-dimensional(2D)graphene acted as a tribolayer,and one-dimensional(1D)carbon nanotubes acted as nano ball bearings embedded ***,the 3D G–CNT/(Hf_(0.2)Nb_(0.2)Ta_(0.2)Ti_(0.2)Zr_(0.2))C exhibited rather low thermal conductivity(κ)yet excellent electrical conductivity(σ,1.3×10^(6) S/m)in comparison with the pure(Hf_(0.2)Nb_(0.2)Ta_(0.2)Ti_(0.2)Zr_(0.2))*** study provided great potential for maximizing the physical and functional properties of the HEC for various applications.

关键词： high-entropy ceramic(HEC) three-dimensional graphene-carbon nanotube(3D G-CNT) toughening lubricating thermal conductivity(κ)/electrical conductivity(σ)

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