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AVA:An automated and AI-driven intelligent visual analytics framework

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Visual Informatics 2024年第2期8卷 106-114页

作者： Jiazhe Wang Xi Li Chenlu Li Di Peng Arran Zeyu Wang Yuhui Gu Xingui Lai Haifeng Zhang Xinyue Xu Xiaoqing Dong Zhifeng Lin Jiehui Zhou Xingyu Liu Wei Chen Intelligent Big Data Visualization Lab at Tongji University ShanghaiChina Ant group China Alibaba group China State Key Lab of CAD&CG Zhejiang UniversityHangzhouChina

With the incredible growth of the scale and complexity of datasets,creating proper visualizations for users becomes more and more challenging in large *** several visualization recommendation systems have been proposed,so far,the lack of practical engineering inputs is still a major concern regarding the usage of visualization recommendations in the *** this paper,we proposed AVA,an open-sourced web-based framework for Automated Visual *** contains both empiric-driven and insight-driven visualization recommendation methods to meet the demands of creating aesthetic visualizations and understanding expressible insights *** code is available at https://***/antvis/AVA.

关键词： Automated visual analytics Visualization recommendation Insight mining

A Fractional-Order Ultra-Local Model-Based Adaptive Neural Network Sliding Mode Control of n-DOF Upper-Limb Exoskeleton With Input Deadzone

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 760-781页

作者： Dingxin He HaoPing Wang Yang Tian Yida Guo the School of Automation Nanjing University of Science and TechnologyNanjing 210094China IEEE Norinco group Institute of Navigation and Control Technology Beijing 100089China

This paper proposes an adaptive neural network sliding mode control based on fractional-order ultra-local model for n-DOF upper-limb exoskeleton in presence of uncertainties,external disturbances and input *** the model complexity and input deadzone,a fractional-order ultra-local model is proposed to formulate the original dynamic system for simple controller ***,the control gain of ultra-local model is considered as a *** fractional-order sliding mode technique is designed to stabilize the closed-loop system,while fractional-order time-delay estimation is combined with neural network to estimate the lumped ***,a fractional-order ultra-local model-based neural network sliding mode controller(FO-NNSMC) is ***,to avoid disadvantageous effect of improper gain selection on the control performance,the control gain of ultra-local model is considered as an unknown ***,the Nussbaum technique is introduced into the FO-NNSMC to deal with the stability problem with unknown ***,a fractional-order ultra-local model-based adaptive neural network sliding mode controller(FO-ANNSMC) is ***,the stability analysis of the closed-loop system with the proposed method is presented by using the Lyapunov ***,with the co-simulations on virtual prototype of 7-DOF iReHave upper-limb exoskeleton and experiments on 2-DOF upper-limb exoskeleton,the obtained compared results illustrate the effectiveness and superiority of the proposed method.

关键词： Adaptive control input deadzone model-free control n-DOF upper-limb exoskeleton neural network

Multi-scale cross-domain alignment for person image generation

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 374-387页

作者： Liyuan Ma Tingwei Gao Haibin Shen Kejie Huang Department of Information Science&Electronic Engineering Zhejiang UniversityHangzhouZhejiangChina Alibaba group HangzhouChina

Person image generation aims to generate images that maintain the original human appearance in different target *** works have revealed that the critical element in achieving this task is the alignment of appearance domain and pose *** alignment methods,such as appearance flow warping,correspondence learning and cross attention,often encounter challenges when it comes to producing fine texture *** approaches suffer from limitations in accurately estimating appearance flows due to the lack of global receptive ***,they can only perform cross-domain alignment on high-level feature maps with small spatial dimensions since the computational complexity increases quadratically with larger feature *** this article,the significance of multi-scale alignment,in both low-level and high-level domains,for ensuring reliable cross-domain alignment of appearance and pose is *** this end,a novel and effective method,named Multi-scale Crossdomain Alignment(MCA)is ***,MCA adopts global context aggregation transformer to model multi-scale interaction between pose and appearance inputs,which employs pair-wise window-based cross ***,leveraging the integrated global source information for each target position,MCA applies flexible flow prediction head and point correlation to effectively conduct warping and fusing for final transformed person image *** proposed MCA achieves superior performance on two popular datasets than other methods,which verifies the effectiveness of our approach.

关键词： artificial intelligence image processing image reconstruction

Wideband spectrum sensing using step-sampling based on the multipath nyquist folding receiver

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Defence Technology（防务技术） 2024年第1期31卷 523-536页

作者： Kai-lun Tian Kai-li Jiang Sen Cao Jian Gao Ying Xiong Bin Tang Xu-ying Zhang Yan-fei Li University of Electronic Science and Technology of China Chengdu611731China China Electronics Technology group Corporation 29th Research Institute Chengdu610036China

Wideband spectrum sensing with a high-speed analog-digital converter(ADC) presents a challenge for practical *** Nyquist folding receiver(NYFR) is a promising scheme for achieving cost-effective real-time spectrum sensing,which is subject to the complexity of processing the modulated *** this case,a multipath NYFR architecture with a step-sampling rate for the different paths is *** different numbers of digital channels for each path are designed based on the Chinese remainder theorem(CRT).Then,the detectable frequency range is divided into multiple frequency grids,and the Nyquist zone(NZ) of the input can be obtained by sensing these ***,high-precision parameter estimation is performed by utilizing the NYFR *** with the existing methods,the scheme proposed in this paper overcomes the challenge of NZ estimation,information damage,many computations,low accuracy,and high false alarm *** simulation experiments verify the effectiveness of the proposed architecture in this paper.

关键词： Wideband spectrum sensing Sub-Nyquist sampling Step-sampling Nyquist folding receiver(NYFR) Multisignal processing

Alarm Log Data Augmentation Algorithm Based on a GAN Model and Apriori

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Journal of Computer Science & Technology 2024年第4期39卷 951-966页

作者： Yang Yang Yu-Ting Li Yong-Hua Huo Zhi-Peng Gao Lan-Lan Rui State Key Laboratory of Network and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China The 54th Research Institute of China Electronics Technology group Corporation Shijiazhuang 050081China

The complexity of alarm detection and diagnosis tasks often results in a lack of alarm log *** to the strong rule associations inherent in alarm log data,existing data augmentation algorithms cannot obtain good results for alarm log *** address this problem,this paper introduces a new algorithm for augmenting alarm log data,termed APRGAN,which combines a generative adversarial network(GAN)with the Apriori *** generates alarm log data under the guidance of rules mined by the rule ***,we propose a new dynamic updating mechanism to alleviate the mode collapse problem of the *** addition to updating the real reference dataset used to train the discriminator in the GAN,we dynamically update the parameters and the rule set of the Apriori algorithm according to the data generated in each *** extensive experimentation on two public datasets,it is demonstrated that APRGAN surpasses other data augmentation algorithms in the domain with respect to alarm log data augmentation,as evidenced by its superior performance on metrics such as BLEU,ROUGE,and METEOR.

关键词： data augmentation alarm log data Apriori generative adversarial network(GAN)

Pollen analysis reveals the effects of uncovered interactions,pollen-carrying structures,and pollinator sex on the structure of wild bee-plant networks

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Insect Science 2024年第3期31卷 971-988页

作者： Clément Tourbez Carmelo Gómez-Martínez MiguelÁngel Gonzalez-Estévez Amparo Lazaro Mediterranean Institute for Advanced Studies(UIB-CSIC) Global Change Research GroupEsporlesBalearic IslandsSpain Department of Biology Ecology AreaUniversity of the Balearic/slandsPalmaSpain

Pollination networks are increasingly used to model the complexity of interactions between pollinators and flowering plants in *** methods exist to sample these interactions,with direct observations of plant-pollinator contacts in the field being by far the most *** the identification of pollen carried by pollinators allows uncovering interactions and increasing sample sizes,the methods used to build pollen-transport networks are variable and their effect on network structure remains *** understand how interaction sampling influences the structure of networks,we analyzed the pollen found on wild bees from eight communities across Mallorca Island and investigated the differences in pollen loads between bee body parts(scopa ***)and *** then assessed how these differences,as well as the uncovered interactions not detected in the field,influenced the structure of wild bee-plant *** identified a higher quantity and diversity of pollen in the scopa than in the rest of the female body,but these differences did not lead to differences in structure between plant-pollination(excluding scopa pollen)and bee-feeding interaction(including scopa pollen)***,networks built with pollen data were richer in plant species and interactions and showed lower modularity and specialization(H2'),and higher nestedness than visitation networks based on field *** interactions with plants were stronger compared to those of males,although not ***,females were more generalist(low d')and tended to be more central in interaction networks,indicating their more key role structuring pollination networks in comparison to *** study highlights the importance of palynological data to increase the resolution of networks,as well as to understand important ecological questions such as the differences between plant-pollination and bee-feeding interaction networks,and the role of sexes in pollination.

关键词： palynology pollen-transport networks pollination role of bee sexes sampling methodology visitation networks

Unstructured Road Extraction in UAV Images based on Lightweight Model

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Chinese Journal of Mechanical Engineering 2024年第2期37卷 372-384页

作者： Di Zhang Qichao An Xiaoxue Feng Ronghua Liu Jun Han Feng Pan School of Automation Beijing Institute of TechnologyBeijing 100081China Tianjin Institute of Maritime Navigation Instruments Tianjin 300130China The 716th Research Institute of China Shipbuilding group Co. LtdJiangsu 222061China

There is no unified planning standard for unstructured roads,and the morphological structures of these roads are complex and *** is important to maintain a balance between accuracy and speed for unstructured road extraction *** road extraction algorithms based on deep learning have problems such as high model complexity,high computational cost,and the inability to adapt to current edge computing ***,it is best to use lightweight network *** the need for lightweight models and the characteristics of unstructured roads with different pattern shapes,such as blocks and strips,a TMB(Triple Multi-Block)feature extraction module is proposed,and the overall structure of the TMBNet network is *** TMB module was compared with SS-nbt,Non-bottleneck-1D,and other modules via *** feasibility and effectiveness of the TMB module design were proven through experiments and *** comparison experiment,using multiple convolution kernel categories,proved that the TMB module can improve the segmentation accuracy of the *** comparison with different semantic segmentation networks demonstrates that the TMBNet network has advantages in terms of unstructured road extraction.

关键词： Unstructured road Lightweight model Triple Multi-Block(TMB) Semantic segmentation net

Necroptosis contributes to non-alcoholic fatty liver disease pathoetiology with promising diagnostic and therapeutic functions

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World Journal of Gastroenterology 2024年第14期30卷 1968-1981页

作者： Hong-Ju Sun Bo Jiao Yan Wang Yue-Hua Zhang Ge Chen Zi-Xuan Wang Hong Zhao Qing Xie Xiao-Hua Song Department of General Medicine Qingdao Central HospitalUniversity of Health and Rehabilitation Sciences(Qingdao Central Medical Group)Qingdao 266042Shandong ProvinceChina Department of Gastroenterology Qingdao Central HospitalUniversity of Health and Rehabilitation Sciences(Qingdao Central Medical Group)Qingdao 266042Shandong ProvinceChina Department of Medical Administration Qingdao Central HospitalUniversity of Health and Rehabilitation Sciences(Qingdao Central Medical Group)Qingdao 266042Shandong ProvinceChina Qingdao Medical College Qingdao UniversityQingdao 266042Shandong ProvinceChina Department of Infectious Diseases Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China

Nonalcoholic fatty liver disease(NAFLD)is the most prevalent type of chronic liver ***,the disease is underappreciated as a remarkable chronic disorder as there are rare managing *** studies have focused on determining NAFLD-caused hepatocyte death to elucidate the disease pathoe-tiology and suggest functional therapeutic and diagnostic ***,ferroptosis,and necroptosis are the main subtypes of non-apoptotic regulated cell deaths(RCDs),each of which represents particular *** the complexity of the findings,the present study aimed to review these types of RCDs and their contribution to NAFLD progression,and subsequently discuss in detail the role of necroptosis in the pathoetiology,diagnosis,and treatment of the *** study revealed that necroptosis is involved in the occurrence of NAFLD and its progression towards steatohepatitis and cancer,hence it has potential in diagnostic and therapeutic ***,further studies are necessary.

关键词： Nonalcoholic fatty liver disease Apoptosis Necroptosis Cell death Diagnosis Treatment

Localization in modified polar representation: hybrid measurements and closed-form solution

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Journal of Systems Engineering and Electronics 2024年第3期35卷 575-588页

作者： CONG Xunchao SUN Yimao YANG Yanbing ZHANG Lei CHEN Liangyin The 10th Research Institute of China Electronics Technology group Corporation Chengdu 610036China College of Computer Science and Institute for Industrial Internet Research Sichuan UniversityChengdu 610065China

Classical localization methods use Cartesian or Polar coordinates, which require a priori range information to determine whether to estimate position or to only find bearings. The modified polar representation (MPR) unifies near-field and farfield models, alleviating the thresholding effect. Current localization methods in MPR based on the angle of arrival (AOA) and time difference of arrival (TDOA) measurements resort to semidefinite relaxation (SDR) and Gauss-Newton iteration, which are computationally complex and face the possible diverge problem. This paper formulates a pseudo linear equation between the measurements and the unknown MPR position,which leads to a closed-form solution for the hybrid TDOA-AOA localization problem, namely hybrid constrained optimization(HCO). HCO attains Cramér-Rao bound (CRB)-level accuracy for mild Gaussian noise. Compared with the existing closed-form solutions for the hybrid TDOA-AOA case, HCO provides comparable performance to the hybrid generalized trust region subproblem (HGTRS) solution and is better than the hybrid successive unconstrained minimization (HSUM) solution in large noise region. Its computational complexity is lower than that of HGTRS. Simulations validate the performance of HCO achieves the CRB that the maximum likelihood estimator (MLE) attains if the noise is small, but the MLE deviates from CRB earlier.

关键词： localization modified polar representation time difference of arrival(TDOA) angle of arrival(AOA) closed-form solution