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A versatile framework for analyzing galaxy image data by incorporating human-in-the-loop in a large vision model

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Chinese Physics C 2024年第9期48卷 176-187页

作者： Ming-Xiang Fu Yu Song Jia-Meng Lv Liang Cao Peng Jia Nan Li Xiang-Ru Li Ji-Feng Liu A-Li Luo Bo Qiu Shi-Yin Shen Liang-Ping Tu Li-Li Wang Shou-Lin Wei Hai-Feng Yang Zhen-Ping Yi Zhi-Qiang Zou National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China College of Electronic Information and Optical Engineering Taiyuan University of TechnologyTaiyuan 030024China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 101408China Key lab of Space Astronomy and Technology National Astronomical ObservatoriesBeijing 100101China School of Computer Science South China Normal UniversityGuangzhou 510631China CAS Key Laboratory of Optical Astronomy National Astronomical ObservatoriesBeijing 100101China University of Chinese Academy of Sciences NanjingNanjing 211135China University of Science and Technology Beijing Beijing 100083China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China School of Computer and Information Dezhou UniversityDezhou 253023China Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming 650500China School of Computer Science and Technology Taiyuan University of Science and TechnologyTaiyuan 30024China School of Mechanical Electrical and Information EngineeringShandong UniversityWeihai 264209China Nanjing University of Posts&Telecommunications Nanjing 210023China School of Science University of Science and Technology LiaoningAnshan 114051China

The exponential growth of astronomical datasets provides an unprecedented opportunity for humans to gain insight into the ***,effectively analyzing this vast amount of data poses a significant *** response,astronomers are turning to deep learning techniques,but these methods are limited by their specific training sets,leading to considerable duplicate *** overcome this issue,we built a framework for the general analysis of galaxy images based on a large vision model(LVM)plus downstream tasks(DST),including galaxy morphological classification,image restoration object detection,parameter extraction,and *** the low signal-to-noise ratios of galaxy images and the imbalanced distribution of galaxy categories,we designed our LVM to incorporate a human-in-the-loop(HITL)module,which leverages human knowledge to enhance the reliability and interpretability of processing galaxy images *** proposed framework exhibits notable fewshot learning capabilities and versatile adaptability for all the abovementioned tasks on galaxy images in the DESI Legacy Imaging *** particular,for the object detection task,which was trained using 1000 data points,our DST in the LVM achieved an accuracy of 96.7%,while ResNet50 plus Mask R-CNN reached an accuracy of 93.1%.For morphological classification,to obtain an area under the curve(AUC)of~0.9,LVM plus DST and HITL only requested 1/50 of the training sets that ResNet18 *** addition,multimodal data can be integrated,which creates possibilities for conducting joint analyses with datasets spanning diverse domains in the era of multi-messenger astronomy.

关键词： artificial intelligence large vision model human-in-the-loop astronomy galaxies

Research evolution of metal organic frameworks: A scientometric approach with human-in-the-loop

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Journal of Data and Information Science 2024年第3期9卷 44-64页

作者： Xintong Zhao Kyle Langlois Jacob Furst Yuan An Xiaohua Hu Diego Gomez Gualdron Fernando Uribe-Romo Jane Greenberg Drexel University 3141 Chestnut StPhiladelphiaPAUSA University of Central Florida 4000 Central Florida BlvdOrlandoFLUSA Colorado School of Mines 1500 Illinois StGoldenCOUSA

Purpose:This paper reports on a scientometric analysis bolstered by human-in-the-loop,domain experts,to examine the field of metal-organic frameworks(MOFs)*** analyses reveal the intellectual landscape of a *** study engaged MOF scientists in the design and review of our research *** materials are an essential component in next-generation renewable energy storage and biomedical *** research approach demonstrates how engaging experts,via human-in-the-loop processes,can help develop a comprehensive view of a field’s research trends,influential works,and specialized ***/methodology/approach:Ascientometric analysis was conducted,integrating natural language processing(NLP),topic modeling,and network analysis *** analytical approach was enhanced through a human-in-the-loop iterative process involving MOF research scientists at selected *** researcher feedback was incorporated into our *** data sample included 65,209 MOF research ***3 and software tool VOSviewer were used to perform the ***:The findings demonstrate the value of including domain experts in research workflows,refinement,and interpretation of *** each stage of the analysis,the MOF researchers contributed to interpreting the results and method refinements targeting our focus Research evolution of metal organic frameworks:A scientometric approach with human-in-the-loop on MOF *** study identified influential works and their *** findings also underscore four main MOF research directions and *** limitations:This study is limited by the sample(articles identified and referenced by the Cambridge Structural Database)that informed our *** implications:Our findings contribute to addressing the current gap in fully mapping out the comprehensive landscape of MOF ***,the results will help domain scientists target future research directions.

关键词： Scientometric Metal-Organic Frameworks(MOFs) Network analysis Topic modeling human-in-the-loop

Quality-of-Experience in human-in-the-loop Haptic Communications

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ZTE Communications 2019年第1期17卷 48-55页

作者： LIU Qian ZHAO Tiesong Dept.of Computer Science and Technology Dalian University of Technology College of Physics and Information Engineering Fuzhou University

With the worldwide rapid development of 5 G networks, haptic communications, a key use case of the 5 G, has attracted increasing attentions nowadays. Its human-in-the-loop nature makes quality of experience(QoE) the leading performance indicator of the system design. A vast number of high quality works were published on user-level, application-level and network-level QoE-oriented designs in haptic communications. In this paper, we present an overview of the recent research activities in this progressive research area. We start from the QoE modeling of human haptic perceptions, followed by the application-level QoE management mechanisms based on these QoE models. High fidelity haptic communications require an orchestra of QoE designs in the application level and the quality of service(QoS) support in the network level. Hence, we also review the state-of-the-art QoS-related QoE management strategies in haptic communications, especially the QoS-related QoE modeling which guides the resource allocation design of the communication network. In addition to a thorough survey of the literature, we also present the open challenges in this research area. We believe that our review and findings in this paper not only provide a timely summary of prevailing research in this area, but also help to inspire new QoE-related research opportunities in haptic communications.

关键词： QoE human-in-the-loop haptic communications kinesthetic signals tactile signals haptic

Hybrid Mapping Method:from human to Robotic Hands with Dissimilar Kinematics

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Journal of Bionic Engineering 2022年第4期19卷 935-952页

作者： Bingchen Liu Li Jiang Shaowei Fan State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150080China

Mapping grasps from human to anthropomorphic robotic hands is an open issue in research,because the master hand and the slave hand have dissimilar *** paper proposes a hybrid mapping method to solve this *** the proposed method,fingers in the master and the slave hands are divided into vital and synergic fingers according to their contribution to the grasping *** tip of the vital finger of the master hand is first mapped to that of the slave hand while ensuring that both are in simultaneous contact with the object to be *** postural synergy theory,joints of the other synergic fingers of the slave hand are then used to generate an anthropomorphic grasping configuration according to the shape of the object to be *** this,a human-guided impedance controller is used to reduce the pre-grasping error and realize compliant interaction with the *** proposed hybrid mapping method can not only generate the posture of the humanoid envelope but can also carry out impedance-adaptive *** was evaluated using simulations and an experiment involving an anthropomorphic robotic slave hand.

关键词： Robotic hand human-in-the-loop Grasping Postural synergy Impedance control

HiTL-based adaptive fuzzy tracking control of MASs:A distributed fixed-time strategy

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Science China(Technological Sciences) 2023年第10期66卷 2907-2916页

作者： LIU Yang CHI RongHu LI HongYi WANG LiJie LIN Na College of Automation and Electronic Engineering Qingdao University of Science and TechnologyQingdao 266061China School of Automation Guangdong University of TechnologyGuangzhou 510006China Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of TechnologyGuangzhou 510006China Institute of Complexity Science and the School of Automation Qingdao UniversityQingdao 266071China

human-in-the-loop(HiTL)control is promising for the cooperative control problem of multi-agent systems(MASs)under the complicated *** considering the effect of human intelligence and decision making,the system robustness and security are notably ***,a distributed fixed-time tracking control problem is investigated in this paper for heterogeneous MASs based on the HiTL ***,a lemma of practically fixed-time stable is given where an explicit relationship of settling time and convergence domain is clearly ***,under the framework of the adaptive backstepping approach,a series of modified intermediate control signals is designed to avoid the singularity problem by taking advantage of power transformation,fuzzy logic systems,and inequality ***,the numerical example and comparison results are utilized to testify the effectiveness of the proposed method.

关键词： human-in-the-loop heterogeneous MASs fixed-time stable adaptive tracking control fuzzy logic systems

A Novel Design Framework for Smart Operating Robot in Power System

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IEEE/CAA Journal of Automatica Sinica 2018年第2期5卷 531-538页

作者： Qiang Wang Xiaojing Yang Zhigang Huang Shiqian Ma Qiao Li David Wenzhong Gao Fei-Yue Wang State Grid Tianjin Electric Power Company Tianjin 300010 China State Grid Tianjin Electric Power Research Institute Tianjin 300384 China University of Denver Denver Colorado 80210 USA Institute of Automation Chinese Academy of Sciences Beijing 100190 China IEEE

This paper proposes the concept and framework of smart operating system based on the artificial intelligence(AI)techniques. The demands and the potential applications of AI technologies in power system control centers is discussed in the beginning of the paper. The discussion is based on the results of a field study in the Tianjin Power System Control Center in China. According to the study, one problem in power systems is that the power system analysis system in the control center is not fast and powerful enough to help the operators in time to deal with the incidents in the power system. Another issue in current power system control center is that the operation tickets are compiled manually by the operators, so that it is less efficient and human errors cannot be avoided. Based on these problems, a framework of the smart operating robot is proposed in this paper, which includes an intelligent power system analysis system and a smart operation ticket compiling system to solve the two problems in power system control centers. The proposed framework is mainly based on the AI techniques, especially the neural network with deep learning, since it is faster and more capable of dealing with the highly nonlinear and complex power system.

关键词： Index Terms-Artificial intelligence deep learning human-in-the-loop power system control center power system operatingrobot machine learning.

*** and Exploring Lineage Data as a Service

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Data Intelligence 2022年第2期4卷 226-242页

作者： Alessandro Spinuso Malcolm Atkinson Federica Magnoni Koninklijk Nederlands Meteorologisch Instituut De BiltUtrecht 3731 GAThe Netherlands University of Edinburgh EdinburghEdinburgh EH89ABUnited Kingdom Istituto Nazionale Geofisica e Vulcanologia RomeLazio 00143Italy

We present a set of configurable Web service and interactive tools,s-ProvFlow,for managing and exploiting records tracking data lineage during workflow *** facilitates detailed analysis of single *** helps users manage complex tasks by exposing the relationships between data,people,equipment and workflow runs intended to combine *** logical model extends the PROV standard to precisely record parallel data-streaming *** metadata handling encourages users to capture the application context by specifying how application attributes,often using standard vocabularies,should be *** metadata records immediately help productivity as the interactive tools support their use in selection and bulk *** rapidly appreciate the power of the encoded semantics as they reap the *** improves the quality of provenance for users and *** in turn facilitates analysis of collections of runs,enabling users to manage results and validate *** fosters reuse of data and methods and facilitates diagnostic investigations and *** present S-ProvFlow's use by scientists,research engineers and managers as part of the DARE hyper-platform as they create,validate and use their data-driven scientific workflows.

关键词： Provenance Productivity Workflows human-in-the-loop Visualisation