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Sequential Inverse Optimal Control of Discrete-Time Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 608-621页

作者： Sheng Cao Zhiwei Luo Changqin Quan the Graduate school of System informatics Kobe University Kobe 657-8501Japan

This paper presents a novel sequential inverse optimal control(SIOC)method for discrete-time systems,which calculates the unknown weight vectors of the cost function in real time using the input and output of an optimally controlled discrete-time *** proposed method overcomes the limitations of previous approaches by eliminating the need for the invertible Jacobian *** calculates the possible-solution spaces and their intersections sequentially until the dimension of the intersection space decreases to *** remaining one-dimensional vector of the possible-solution space’s intersection represents the SIOC *** paper presents clear conditions for convergence and addresses the issue of noisy data by clarifying the conditions for the singular values of the matrices that relate to the possible-solution *** effectiveness of the proposed method is demonstrated through simulation results.

关键词： Inverse optimal control promised calculation step sequential calculation

Inherently Sinusoidal Single-phase Voltage Source Inverter Based on Modified Cuk Cell

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Chinese Journal of Electrical Engineering 2024年第1期10卷 114-123页

作者： Misbahul Munir Wisyahyadi Arwindra Rizqiawan Jihad Furqani school of Electrical Engineering and informatics Bandung Institute of TechnologyBandung 40132Indonesia

Renewable energy has become important for electricity generation because of the high air pollution associated with conventional fossil-based energy *** fossil-based power plants are gradually transitioning by incorporating renewable energy sources,such as photovoltaic(PV)*** a PV system,an inverter converts DC power from solar panels to AC power required to serve common electrical loads.A conventional H-bridge inverter topology has several disadvantages,such as the voltage being not sinusoidal,switching the DC voltage and high common-mode *** common-mode voltage can cause a large leaked capacitive current,which can result in undesirable operation in solar power applications.A common solution to this problem is the addition of a large filter to the input or output of an *** inherent sinusoidal voltage source inverter based on a modified Cuk converter as its basic cell,which simultaneously generates a sinusoidal output voltage and a lower common-mode voltage,is *** proposed topology does not require additional input or output *** expressions are derived to confirm the operation of the proposed *** results confirm the mathematical analysis.A laboratory-scale experiment is performed to verify the proposed inverter.

关键词： Voltage source inverter common-mode voltage capacitive current modified Cuk converter and sinusoidal waveform

AGGREGATE SPECIAL FUNCTIONS TO APPROXIMATE PERMUTING TRI-HOMOMORPHISMS AND PERMUTING TRI-DERIVATIONS ASSOCIATED WITH A TRI-ADDITIVEψ-FUNCTIONAL INEQUALITY IN BANACH ALGEBRAS

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Acta Mathematica Scientia 2024年第1期44卷 311-338页

作者： Safoura Rezaei ADERYANI Azam AHADI Reza SAADATI Hari M.SRIVASTAVA school of mathematics Iran University of Science and TechnologyNarmakTehranIran Department of mathematics and Statistics Universtity of VictoriaVictoriaCanada Department of Medical Research China Medical University HospitalChina Medical UniversityTaichung40402China Department of mathematics and informatics Azerbaijan University71 Jeyhun Hajibeyli StreetAZ1007BakuAzerbaijan Section of mathematics International TelematicUniversity UninettunoI-00186RomeItaly

In this paper,we define a new class of control functions through aggregate special *** class of control functions help us to stabilize and approximate a tri-additiveψ-functional inequality to get a better estimation for permuting tri-homomorphisms and permuting tri-derivations in unital C*-algebras and Banach algebras by the vector-valued alternative fixed point theorem.

关键词： permuting tri-homomorphism in Banach algebra permuting tri-derivation on C*-algebra fixed point theorem Ulam-Hyers-Rassias stability aggregate special functions tri-additiveψ-functional inequality

Vehicle Head and Tail Recognition Algorithm for Lightweight DCDSNet

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Computers, Materials & Continua 2024年第9期80卷 4451-4473页

作者： Chao Wang Kaijie Zhang Xiaoyong Yu Dejun Li Wei Xie Xinqiao Wang school of informatics and Engineering Suzhou UniversitySuzhou234000China school of informatics and Engineering Suzhou Vocational College of Civil AviationSuzhou234122China Institute of Machine Learning and Systems Biology School of Electronics and Information EngineeringTongji UniversityShanghai201804China

In the model of the vehicle recognition algorithm implemented by the convolutional neural network,the model needs to compute and store a lot of *** many parameters occupy a lot of computational resources making it difficult to run on computers with poor ***,obtaining more efficient feature information of target image or video with better accuracy on computers with limited arithmetic power becomes the main goal of this *** this paper,a lightweight densely connected,and deeply separable convolutional network(DCDSNet)algorithmis proposed to achieve this *** Geometry Group(VGG)model is improved by utilizing the convolution instead of the fully connected module,the deeply separable convolution module,and the densely connected network module,with the first two modules reducing the parameters and the third module allowing the algorithm to have more features in a limited number of *** algorithm achieves better results in the mine vehicle recognition *** show that the recognition accuracy is improved by 4.41% compared to VGG19 and the amount of parameters is reduced by 71% compared to VGG19.

关键词： VGGNet vehicle head and tail recognition densely connected depthwise separable convolutional

Factors Impacting Participatory Post‑Disaster Relocation and Housing Reconstruction:The Case of Tsholotsho District,Zimbabwe

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International Journal of Disaster Risk Science 2024年第1期15卷 58-72页

作者： Nombulelo Kitsepile Ngulube Hirokazu Tatano Subhajyoti Samaddar Department of Social informatics Graduate School of InformaticsKyoto UniversityKyoto 606-8507Japan Disaster Prevention Research Institute(DPRI) Kyoto UniversityKyoto 611-0011Japan

Relocation is not typically considered the best planning option for post-disaster reconstruction and rehabilitation,but it may be necessary if the site has suffered severe damage or is at imminent *** is a growing recognition that strong community participation is necessary in the post-disaster relocation decision-making process since relocation can have detrimental effects on a community’s livelihood,cultural system,and way of life,among ***,the realization of this still needs to be *** of yet,few studies have examined a comprehensive account of meaningful community engagement in post-disaster relocation and reconstruction,particularly in developing *** study investigated what factors influenced local communities’ participation in post-disaster relocation and reconstruction works after the 2017Cyclone Dineo flood disaster in the Tsholotsho District of *** research methods such as face-to-face interviews,observations,and focus groups were used to collect qualitative data from a purposive sample of 25 community members and 6 *** empirical investigation showed that despite the fact that the relocation project was conceived as a community-centered project,there was no meaningful community engagement,due to the absence of a participatory framework or planning guidelines for stakeholder engagement,as well as the lack of political willingness among government *** study concluded that the lack of community involvement led to local communities abandoning the reconstruction sites because relocation projects failed to accommodate the cultural beliefs,place attachments,and livelihood concerns of local *** study suggested that it is imperative to enhance the awareness of government officials and other stakeholders about the importance of community participation for the effective implementation of post-disaster relocation *** community participation can also provide avenues fo

关键词： Community rehabilitation Housing reconstruction-Participatory relocation Zimbabwe

Ripple Knowledge Graph Convolutional Networks for Recommendation Systems

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Machine Intelligence Research 2024年第3期21卷 481-494页

作者： Chen Li Yang Cao Ye Zhu Debo Cheng Chengyuan Li Yasuhiko Morimoto Graduate school of informatics Nagoya UniversityChikusaNagoya 464-8602Japan Centre for Cyber Resilience and Trust Deakin UniversityBurwood 3125Australia Science TechnologyEngineering and Mathematics(STEM)University of South AustraliaAdelaide 5000Australia Graduate school of Engineering Hiroshima UniversityHigashi-hiroshima 10587Japan

Using knowledge graphs to assist deep learning models in making recommendation decisions has recently been proven to effectively improve the model′s interpretability and *** paper introduces an end-to-end deep learning model,named representation-enhanced knowledge graph convolutional networks(RKGCN),which dynamically analyses each user′s preferences and makes a recommendation of suitable *** combines knowledge graphs on both the item side and user side to enrich their representations to maximize the utilization of the abundant information in knowledge *** is able to offer more personalized and relevant recommendations in three different *** experimental results show the superior effectiveness of our model over 5 baseline models on three real-world datasets including movies,books,and music.

关键词： Deep learning recommendation systems knowledge graph graph convolutional networks(GCNs) graph neural networks(GNNs)

Abnormal Action Detection Based on Parameter-Efficient Transfer Learning in Laboratory Scenarios

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Computers, Materials & Continua 2024年第9期80卷 4219-4242页

作者： Changyu Liu Hao Huang Guogang Huang Chunyin Wu Yingqi Liang College of mathematics and informatics South China Agricultural UniversityGuangzhou510642China school of Oceanography Shanwei Institute of TechnologyShanwei516600China Technical Department Kerric(Guangdong)Laboratory Equipment Research and Manufacture Co.Ltd.Foshan528139China

Laboratory safety is a critical area of broad societal concern,particularly in the detection of abnormal *** enhance the efficiency and accuracy of detecting such actions,this paper introduces a novel method called TubeRAPT(Tubelet Transformer based onAdapter and Prefix TrainingModule).Thismethod primarily comprises three key components:the TubeR network,an adaptive clustering attention mechanism,and a prefix training *** components work in synergy to address the challenge of knowledge preservation in models pretrained on large datasets while maintaining training *** TubeR network serves as the backbone for spatio-temporal feature extraction,while the adaptive clustering attention mechanism refines the focus on relevant *** prefix training module facilitates efficient fine-tuning and knowledge *** results demonstrate the effectiveness of TubeRAPT,achieving a 68.44%mean Average Precision(mAP)on the CLA(Crazy LabActivity)small-scale dataset,marking a significant improvement of 1.53%over the previous TubeR *** research not only showcases the potential applications of TubeRAPT in the field of abnormal action detection but also offers innovative ideas and technical support for the future development of laboratory safety monitoring *** proposed method has implications for improving safety management systems in various laboratory environments,potentially reducing accidents and enhancing overall workplace safety.

关键词： Parameter-efficient transfer learning laboratory scenarios TubeRAPT abnormal action detection

Wavelet-domain feature decoupling for weakly supervised multi-object tracking

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Science China(Information Sciences) 2024年第8期67卷 339-340页

作者： Yu-Lei LI Yan YAN Yang LU Hanzi WANG Fujian Key Laboratory of Sensing and Computing for Smart City School of InformaticsXiamen University

Multi-object tracking(MOT) aims to discover interesting foreground targets and meanwhile generate robust trajectories of these targets with different data association algorithms based on identity embedding features(Re-ID features) [1] or motion cues [2]. During the past few decades,some advanced MOT methods have achieved considerable progress due to their wide range of applications in modern autonomous driving and intelligent video analysis.

关键词： Tracking (position)

MusicFace: Music-driven expressive singing face synthesis

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Computational Visual Media 2024年第1期10卷 119-136页

作者： Pengfei Liu Wenjin Deng Hengda Li Jintai Wang Yinglin Zheng Yiwei Ding Xiaohu Guo Ming Zeng school of informatics Xiamen UniversityXiamen361000China Department of Computer Science The University of Texas at DallasRichardsonTexas75080-3021USA

It remains an interesting and challenging problem to synthesize a vivid and realistic singing face driven by music. In this paper, we present a method for this task with natural motions for the lips, facial expression, head pose, and eyes. Due to the coupling of mixed information for the human voice and backing music in common music audio signals, we design a decouple-and-fuse strategy to tackle the challenge. We first decompose the input music audio into a human voice stream and a backing music stream. Due to the implicit and complicated correlation between the two-stream input signals and the dynamics of the facial expressions, head motions, and eye states, we model their relationship with an attention scheme, where the effects of the two streams are fused seamlessly. Furthermore, to improve the expressivenes of the generated results, we decompose head movement generation in terms of speed and direction, and decompose eye state generation into short-term blinking and long-term eye closing, modeling them separately. We have also built a novel dataset, SingingFace, to support training and evaluation of models for this task, including future work on this topic. Extensive experiments and a user study show that our proposed method is capable of synthesizing vivid singing faces, qualitatively and quantitatively better than the prior state-of-the-art.

关键词： face synthesis singing music generative adversarial network