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IEEE International Conference on Robotics and Automation (ICRA)

作者： Shunichi Sekiguchi Ayanori Yorozu Kazuhiro Kuno Masaki Okada Yutaka Watanabe Masaki Takahashi School of Science for Open and Environmental Systems Graduate School of Science and Technology Keio University Yokohama Japan EQUOS Research Co. Ltd. Aichi Japan Faculty of Science and Technology Keio University Yokohama Japan

For a companion robot that follows a person as an assistant, predicting human walking is important to produce a proactive movement that is helpful to maintain an appropriate area decided by the human personal space. However, fully trusting the prediction may result in obstructing human walking because it is not always accurate. Hence, we consider the estimation of uncertainty (i.e., entropy) of the prediction to enable the robot to move without causing overconfident motion and without being late for the person it follows. To consider this uncertainty of the prediction to the controller, we introduce a reliability value that changes based on the entropy of the prediction. This value expresses the extent the controller should trust the prediction result, and it affects the cost function of our controller. We propose an uncertainty-aware robot controller based on nonlinear model predictive control to realize natural human-followings. We found that our uncertainty-aware control system can produce an appropriate robot movement, such as not obstructing the human walking and avoiding delay, in both simulations using actual human walking data and real-robot experiments.

关键词： Legged locomotion Uncertainty Prediction methods Control systems Entropy Trajectory Delays

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高排放城市在中国公平低碳转型中的杠杆效应

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science Bulletin 2023年第20期68卷 2456-2466,M0006页

作者：郑赫然张增恺 Erik Dietzenbacher 周雅 Johannes Tobben 冯奎双 Daniel Moran 蒋萌单钰理王道平刘晓宇李莉赵丹丹孟靖区家敏关大博 The Bartlett School of Sustainable Construction University College LondonLondon WC1H 0QBUK State Key Laboratory of Marine Environmental Science College of Environment and EcologyXiamen UniversityXiamen 361102China Faculty of Economics and Business University of GroningenGroningen 9747 AGNetherlands Key Laboratory of City Cluster Environmental Safety and Green Development Ministry of EducationSchool of EcologyEnvironment and ResourcesGuangdong University of TechnologyGuangzhou 510006China Gesellschaft für Wirtschaftliche Strukturforschung mbH Osnabrck 49080Germany Social Metabolism and Impacts Potsdam Institute for Climate Impact ResearchMember of the Leibniz AssociationPotsdam 14412Germany Department of Geographical Sciences University of MarylandCollege Park MD 20742USA The Climate and Environmental Research Institute NILU Lillestrøm 2007Norway Industrial Ecology Programme Department of Energy and Process TechnologyNorwegian University of Science and TechnologyTrondheim 7010Norway School of Geography Earth and Environmental SciencesUniversity of BirminghamBirmingham B152TTUK Department of Geography King’s College LondonLondon WC2R 2LSUK Department of Computer Science and Technology University of CambridgeCambridge CB30FDUK Research and Promotion Center for Green and Low-carbon Development Environmental Development Center of the Ministry of Ecology and EnvironmentBeijing 100029China School of Economics and Management China University of GeosciencesBeijing 100083China Department of Built Environment Aalto UniversityEspoo 02150Finland Department of Sociology Utrecht UniversityUtrecht 3584 CSNetherlands Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System ScienceTsinghua UniversityBeijing 100084China

中国城市在全球碳减排中扮演着核心角色,然而中国城市间巨大的经济发展差异深刻影响了中国城市减排的进程.城际供应链连接了城市的生产和消费,被认为是塑造地区分化和减排疲软的因素之一,但该效应在先前的研究中往往没有得到充分的考虑... 详细信息

中国城市在全球碳减排中扮演着核心角色,然而中国城市间巨大的经济发展差异深刻影响了中国城市减排的进程.城际供应链连接了城市的生产和消费,被认为是塑造地区分化和减排疲软的因素之一,但该效应在先前的研究中往往没有得到充分的考虑.本文对2012年中国309个城市的供应链进行建模.利用该模型,我们揭示了城市间存在显著的碳不平等:中国最富裕的10个城市的人均碳足迹相当于美国的水平,而中国一半的城市则低于全球平均水平.然而,这种显著的碳不平等也蕴含着新的减排机遇,即对32个超高排放城市,根据其富裕程度、产业结构和供应链的位置采取不同的减排策略,将可创造高达1.4亿吨的碳配额,距离碳达峰值增加了30%的空间.额外的碳配额足够使经济发展欠发达人口的平均生活水平达到中上收入水平,突出了城市层面的合作机制具有促进公平和减排目标收敛的巨大潜力.

关键词：经济发展差异供应链产业结构收入水平碳配额杠杆效应减排策略碳减排

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The grassland carbon cycle:Mechanisms,responses to global changes,and potential contribution to carbon neutrality

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Fundamental Research 2023年第2期3卷 209-218页

作者： Lingli Liu Emma J.Sayer Meifeng Deng Ping Li Weixing Liu Xin Wang Sen Yang Junsheng Huang Jie Luo Yanjun Su JoséM.Grünzweig Lin Jiang Shuijin Hu Shilong Piao State Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China University of Chinese Academy of Sciences Beijing 100049China Lancaster Environment Centre Lancaster UniversityLancaster LA14YQUnited Kingdom Department of Evolutionary Biology and Environmental Studies University of ZurichZurich 8057Switzerland Institute of Plant Sciences and Genetics in Agriculture The Robert H.Smith Faculty of AgricultureFood and EnvironmentThe Hebrew University of JerusalemRehovot 7610001Israel School of Biological Sciences Georgia Institute of Technology310 Ferst DriveAtlantaGA 30332United States Department of Plant Pathology North Carolina State UniversityRaleighNC 27607United States Sino-French Institute for Earth System Science College of Urban and Environmental SciencePeking UniversityBeijing 100871China National Hulunber Grassland Ecosystem Observation and Research Station Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijing 100081China

Grassland is one of the largest terrestrial biomes,providing critical ecosystem services such as food production,biodiversity conservation,and climate change *** climate change and land-use intensification have been causing grassland degradation and desertification *** one of the primary medium for ecosystem energy flow and biogeochemical cycling,grassland carbon(C)cycling is the most fundamental process for maintaining ecosystem *** this review,we first summarize recent advances in our understanding of the mechanisms underpinning spatial and temporal patterns of the grassland C cycle,discuss the importance of grasslands in regulating inter-and intra-annual variations in global C fluxes,and explore the previously unappreciated complexity in abiotic processes controlling the grassland C balance,including soil inorganic C accumulation,photochemical and thermal degradation,and wind *** also discuss how climate and land-use changes could alter the grassland C balance by modifying the water budget,nutrient cycling and additional plant and soil ***,we examine why and how increasing aridity and improper land use may induce significant losses in grassland C ***,we identify several priorities for future grassland C research,including improving understanding of abiotic processes in the grassland C cycle,strengthening monitoring of grassland C dynamics by integrating ground inventory,flux monitoring,and modern remote sensing techniques,and selecting appropriate plant species combinations with suitable traits and strong resistance to climate fluctuations,which would help design sustainable grassland restoration strategies in a changing climate.

关键词： Climate changes Land-use change Soil Biotic and abiotic interactions Grassland degradation Grassland restoration Carbon accounting Carbon storage and sequestration mechanisms

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Role of Black Carbon in Modulating Aerosol Direct Effects Driven by Air Pollution Controls During 2013-2017 in China

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SSRN 2022年

作者： Zhang, Fenfen Xing, Jia Ding, Dian Wang, Jiandong Zheng, Haotian Zhao, Bin Qi, Ling Wang, Shuxiao State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing100084 China Institute for Atmospheric and Earth System Research Faculty of Science University of Helsinki Helsinki00014 Finland School of Atmospheric Physics Nanjing University of Information Science and Technology Nanjing210044 China School of Energy and Environmental Engineering University of Science and Technology Beijing Beijing100083 China

Aerosol direct effects (ADEs) can modulate shortwave radiation as well as atmospheric dynamics and air quality. As the key absorbing component of aerosol, the black carbon (BC) largely determines the aerosol optical properties. Therefore, it is expected that BC emission controls might gain co-benefits from the simultaneous reduction of ADEs. To demonstrate such synergy, we quantified the ADEs changes and role of BC controls in China during 2013-2017 using a regional two-way coupled meteorology chemistry transport model. Results suggest that the control action effectively reduced wintertime PM2.5 concentration (-26.0 μg m-3) and associated ADEs. The influence of ADEs on surface shortwave radiation, 2-meter temperature, and planetary boundary layer height was weakened from -16.7 W m-2, -0.20°C, and -15.4 m in 2013 to -11.3 W m-2, -0.06°C, and -10.7 m in 2017, respectively. The enhancement of SO2, NO2, and PM2.5 concentrations due to ADEs was reduced from +3.1%, +5.2%, and +5.4% in 2013, to +2.6%, +4.5%, and +3.3% in 2017, respectively, demonstrating the extra benefit of air pollution controls by reducing ADEs. The BC emission reduced by 12.5% simultaneously along with the effective controls during 2013-2017. Such BC controls contributes 15.6-60.2% of such changes in the ADEs influence on meteorological variables, and 32.6-41.1% on air pollutants. More specially, the effectiveness of collaborative reduction of BC further reduced surface shortwave radiation in China by 3.6 W m-2 in January and 1.0 W m-2 in July, leading to a more weakened ADEs that bring extra benefits in reducing PM2.5 concentrations by 1.8 μg m-3 in January and 0.3 μg m-3 in July. Apparently, BC played a dominant role in modulating the ADEs and associated influences on meteorology and air quality, suggesting a wise control strategy by targeting absorbing component of PM2.5 reduction to address both air pollution and climate change in the future. © 2022, The Authors. All rights reserved.

关键词： Air quality

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The effect of firm performance on CEO compensation: the moderation role of SOE reform

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SN Business and Economics 2021年第11期1卷 1-32页

作者： Chukwuma, Ngonadi Josiah Famba, Takuriramunashe Sun, Huaping Mensah, Isaac Adjei Kurauone, Ophias Li, Liang Chituku-Dzimiro, Grace School of Finance and Economics Jiangsu University 301 Xuefu Road Zhenjiang China Institute for China Common Prosperity Research Jiaxing University Jiaxing 314001 China School of Mathematics Institute of Applied System Analysis (IASA) Jiangsu University Zhenjiang 212013 China School of Business Nanjing University of Information Science and Technology Nanjing 210044 China Faculty of Commerce and Law Zimbabwe Open University Mutare Zimbabwe

As corporations expand, the owners (principals) delegate managers (agents) to manage their wealth on their behalf. Ceding the management authority to others means shareholders must institute mechanisms that keep their interests aligned with those of managers. One of such corporate governance mechanism that helps with the interest alignment goal is the compensation of Chief Executive Officers (CEOs). Although there are some previous studies on CEOs’ compensation, results from these studies are mixed. Most corporate governance studies suffer from endogeneity problems. Resultantly, the current study uses the dynamic panel system generalized methods of moments (SGMM) estimator to examine the moderation effect of SOE reforms on the nexus between firm performance and CEO compensation using a sample of 1265 non-financial public limited companies on the China Stock Market from 2010 to 2016. The result from the study shows that both current and past firm performances positively influence executive compensation contracts. Although the Renewed Mixed-Ownership Reform was launched at the 18th National Congress of the Chinese Communist Party in 2012, its influence on executive compensation began to have material effect after issuing the operational guidelines in 2015. State ownership continued to decrease but remaining high only in strategic sectors. Finally, the extensive reforms positively influenced state ownership as an important governance mechanism in CEO compensation contracts after 2015. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.

关键词： Board structure Executive compensation Ownership Concentration SOE Reforms Stock ownership

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technology Roadmap for Flexible Sensors

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ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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Facile fabrication of amorphous Al/Fe based metal–organic framework as effective heterogeneous fenton catalyst for environmental remediation

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environmental Geochemistry and Health 2024年第5期46卷 156-156页

作者： Kulandaivel, Thirumoorthy Subhramaniyan Rasappan, Akshaya Venkatesan Savunthari, Kirankumar Samuel, Melvin S. Kumar, Mohanraj Dahms, Hans-Uwe Anbalagan, Aswin Kumar Mohan, Gopalakrishnan Kheawhom, Soorathep Ganesan, Sivarasan Department of Chemistry Saveetha School of Engineering SIMATS Chennai602 105 India Department of Physics Coimbatore Institute of Technology Coimbatore641014 India Department of Chemistry and Chemical Biology Northeastern University BostonMA02115 United States Department of Civil Construction and Environmental Engineering Marquette University MilwaukeeWI53233 United States Department of Environmental Engineering and Management Chaoyang University of Technology Taichung City413310 Taiwan Department of Biomedical Science and Environmental Biology Kaohsiung Medical University Kaohsiung City807 Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu30013 Taiwan Department of Chemical Engineering Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand Center of Excellence On Advanced Materials for Energy Storage Chulalongkorn University Bangkok10330 Thailand Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand

This study presents a facile preparation and durable amorphous Fe and Al-based MOF nanoplate (AlFe-BTC MOFs) catalyst with notable stability in Fenton reactions. Rigorous characterization using XRD, HR-TEM, and BET confirms the amorphous nature of the synthesized AlFe-BTC MOFs, revealing mesopores (3.4 nm diameter), a substantial surface area (232 m2/g), and a pore volume of 0.69 cc/g. XPS analysis delineates distinct Al2p and Fe2p binding energy values, signifying specific chemical bonding. FE-SEM elemental mapping elucidates the distinctive distribution of Fe and Al within the framework of AlFe-BTC MOFs. In catalytic activity testing, the amorphous AlFe-BTC MOFs exhibited outstanding performance, achieving complete degradation of Methylene blue (MB) dye and 78% TOC removal over 45 min of treatment under mild reaction conditions. The catalyst's durability was assessed, revealing about 75% TOC removal and complete dye decomposition over five successive recycles, with less than 1 mg/L of Fe and Al leaching. UV–Vis spectra revealed the destruction of MB dye over multiple recycling studies. Based on this finding, the amorphous AlFe-BTC MOF nanoplates emerge as a promising solution for efficient dye removal from industrial wastewater, underscoring their potential in advanced environmental remediation processes. Graphical Abstract: (Figure presented.). © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

关键词： Iron

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Integrate ecosystem services into socio-economic development to enhance achievement of sustainable development goals in the post-pandemic era

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Geography and Sustainability 2021年第1期2卷 68-73页

作者： Caichun Yin Wenwu Zhao Francesco Cherubini Paulo Pereira State Key Laboratory of Earth Surface Processes and Resource Ecology Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Institute of Land Surface System and Sustainable Development Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China School of Soil and Water Conservation Beijing Forestry UniversityBeijing 100083China Industrial Ecology Programme and Department of Energy and Process Engineering Norwegian University of Science and Technology(NTNU)NorwegianNorway Environmental Management Center Mykolas Romeris UniversityVilnius 08303Lithuania

The COVID-19 pandemic has stalled and rolled back progress on Sustainable Development Goals(SDGs).Ecosys-tem services(ESs),defined as the contributions of ecosystems to human well-being,underpin the achievement of *** promote SDG achievement in post-pandemic era,we teased out the links between ESs and SDGs while examining the impact of *** found that ESs benefited all SDGs,yet man-made pressures led to degra-dation of ecosystems and their *** is broad consensus that the virus lurks in degraded ecosystems and generates spillover due to human *** pandemic and global lockdown/restriction disrupted the flow of ESs and altered human ESs demand,threatening the efforts for the *** suggested:1)to study the association and traceability of ESs-SDGs under the pandemic;2)to prioritize pressing issues such as health care,livelihood,and resource security and in the long run,we should promote human-nature harmony to achieve the SDGs;and 3)to enhance ESs and to promote the SDGs through local community efforts,ESs accounting,and ecosystem *** paper provides insights into the importance of ESs to the SDGs and the ways to integrate ESs into socio-economic development to promote the SDG achievement after the pandemic.

关键词： Ecosystem services(ESs) Sustainable development goals(SDGs) COVID-19 pandemic Socio-economic development Human-nature relationship

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Reconstructing Suspended Sediment Concentrations in the Mekong River Basin Via Semi-Supervised-Based Deep Neural Networks

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SSRN 2024年

作者： Nguyen, Thi-Thu-Ha Vu, Duc Quang Doan, Ngoc Phu Thi Khanh Chi, Huynh Li, Peixin Van Binh, Doan An, Yimeng Tuan Dung, Pham Hoang, Tuan A. Thai Son, Mai Laboratory of Environmental Sciences and Climate Change Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City70000 Viet Nam Faculty of Environment School of Technology Van Lang University Ho Chi Minh City70000 Viet Nam Department of Computer Science and Information System Thai Nguyen University of Education Viet Nam School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast United Kingdom College of Economics and Management Nanjing University of Aeronautics and Astronautics China Master program in Water Technology Reuse and Management Faculty of Engineering Vietnamese-German University Binh Duong Province Ben Cat Town820000 Viet Nam

The Mekong River Basin (MRB) is one of the highest biodiversity areas in the world and is the vital source of livelihoods for more than 60 millions of people over six countries in Southeast Asia. However, it is suffering from a severe sediment starvation problem caused by climate change and human activities, particularly dam constructions. Understanding long-term sediment changes thus plays a crucial role for management and contingency plans. Current sediment concentration data in the MRB are extremely sporadic, making it a non-trivial task to analyze them. This paper focuses on the sediment reconstruction to provide long-term reliable suspended sediment concentration (SSC) data using Machine Learning (ML) perspectives. In particular, a novel semi-supervised ML model, which can effectively deal with data sparsity, is introduced to predict/reconstruct missing sediment data. The key idea of this approach is to exploit abundant available hydroclimate data to reduce training overfitting rather than solely relying on sediment concentration data, thus enhancing the accuracy of the employed ML models. Extensive experiments on data obtained from 1979 to 2019 at the three main stations (i.e., Chiang Saen, Nong Khai, and Mukdahan) are conducted to demonstrate the performances of the proposed method compared to other state-of-the-art supervised techniques and traditional simulation methods commonly used in previous sediment forecasting/reconstruction studies. To the best of our knowledge, this approach is the first semi-supervised method to reconstruct sediment data in the field. Though this study focuses on the MRB, sediment sparsity is a very common problem in other river systems worldwide. Thus, this method can be widely applied for them for more effective sediment reconstruction/prediction in general. © 2024, The Authors. All rights reserved.

关键词： Biodiversity

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A systematic Review of Multi-Sensor Information Fusion for Equipment Fault Diagnosis

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IEEE Transactions on Instrumentation and Measurement 2025年

作者： Lin, Tantao Ren, Zhijun Zhu, Linbo Zhu, Yongsheng Feng, Ke Ding, Weiping Yan, Ke Beer, Michael Xi'an Jiaotong University Key Laboratory of Education Ministry for Modern Design & Rotor-Bearing System Xi'an710049 China Xi'an Jiaotong University Frontier Institute of Science and Technology Xi'an710049 China Xi'an Jiaotong University School of School of Chemical Engineering and Technology Xi'an710049 China Xi'an Jiaotong University School of Mechanical Engineering Xi'an710049 China Nantong University School of Artificial Intelligence and Computer Science Nantong226019 China City University of Macau Faculty of Data Science Macau999078 China Leibniz University Institute for Risk and Reliability Hannover30167 Germany University of Liverpool Department of Civil and Environmental Engineering LiverpoolL69 3BX United Kingdom Tongji University International Joint Research Center for Resilient Infrastructure International Joint Research Center for Engineering Reliability and Stochastic Mechanics Shanghai200092 China

In contrast to fault diagnosis relying solely on a single sensor, the method of multi-sensor information fusion for fault diagnosis (MSIFFD) broadens the spectrum of available information sources. It is renowned for its high accuracy and reliability, traits that have attracted growing attention within the research community and led to the generation of a substantial body of publications. However, there is currently a lack of a comprehensive and systematic review in this domain. Thereby, this review aims to thoroughly explore all research achievements in the field of MSIFFD. At the outset, an analysis is undertaken to delineate the fusion level of multi-sensor information, with a specific focus on its location and types of inputs and outputs within the information flow. Subsequently, an examination of the six primary fundamental operations for amalgamating multi-sensor information is undertaken to clarify the motivations and processes involved in information fusion across various operations. Following this, factors influencing fusion diagnostics and strategies aimed at improving their performance are examined to explore approaches for enhancing fusion accuracy. The subsequent sections delve into the analysis of sensor types and application scenarios, providing a reference guide for practical applications. Finally, this review outlines potential future challenges in the field of MSIFFD and provides a range of recommendations and possible solutions for consideration. © 1963-2012 IEEE.

关键词： Information fusion

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