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Targeted Pareto Optimization for Subset Selection With Monotone Objective Function and Cardinality Constraint

IEEE Transactions on Evolutionary computation 2024年 1-1页

作者： Shang, Ke Wu, Guotong Pang, Lie Meng Ishibuchi, Hisao National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China Department of Computer Science and Engineering Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Southern University of Science and Technology Shenzhen China

Subset selection, a fundamental problem in various domains, is to choose a subset of elements from a large candidate set under a given objective or multiple objectives. Pareto optimization for subset selection (POSS) has emerged as a powerful paradigm for addressing subset selection problems. Recently, some POSS variants have been proposed to further improve its performance. In this paper, we propose a new POSS variant, named Targeted Pareto Optimization for Subset Selection (TPOSS). TPOSS differs from POSS in four aspects: problem formulation, population initialization, mutation, and environmental selection. The main idea of TPOSS is to focus the search on the target region of subset selection with respect to the subset cardinality in order to improve the search efficiency. We conduct comprehensive experiments to compare TPOSS with six state-of-the-art algorithms on three subset selection tasks (i.e., sparse regression, unsupervised feature selection, and hypervolume subset selection) where the size of the candidate sets ranges from 20 to 400. Experimental results show that with respect to the objective value of the best feasible subset, TPOSS outperforms the other algorithms on all the three tasks, which suggests the potential of TPOSS to enhance subset selection in various domains. IEEE

关键词： Linear programming

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Mining hourly population dynamics by activity type based on decomposition of sequential snapshot data

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International Journal of Digital Earth 2022年第1期15卷 1395-1416页

作者： Qingli Shi Li Zhuo Haiyan Tao Qiuping Li Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation School of Geography and PlanningSun Yat-sen UniversityGuangzhouPeople’s Republic of China Guangdong Provincial Engineering Research Centre for Public Security and Disaster GuangzhouPeople’s Republic of China Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) ZhuhaiPeople’s Republic of China

The dynamic population distributions by activity type(***,shopping or in-home)are vital for resource allocation,urban planning and epidemic *** studies have incorporated individual-level human mobility data to map population distribution by activity type,access to such data is hindered due to privacy issues and they rely on auxiliary data to provide priori activity *** paper presents a method for generating the population dynamics by activity *** first introduce more readily available sequential snapshot data to construct the population mixture model,then decompose the population mixture,and finally estimate the dynamic population size for each *** test the method in the central districts of Guangzhou city,China,based on real-time Tencent user density *** analysis and accuracy assessment prove that our method can accurately estimate hourly distributions for populations engaging in working,stay-at-home,and socializing *** temporal distribution of the working population reproduces the regular work scenarios and socializing population displays complex spatial *** also find that there is an underlying relationship between a region’s function and its dynamic population *** presented method has great potential for application and could provide new insight for studying urban dynamic functions.

关键词： Hourly population dynamics activity type population mixture model real-time Tencent user density data

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基于晶体塑性的辐照金属材料局部化颈缩和吕德斯带的模拟研究

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Acta Mechanica Sinica 2023年第4期39卷 132-146页

作者：付家琪刘文斌隋昊男程杨洋段慧玲 State Key Laboratory for Turbulence and Complex System Department of Mechanics and Engineering ScienceThe Beijing Innovation Center for Engineering Science and Advanced TechnologyCollege of EngineeringPeking UniversityBeijing100871China Key Laboratory of High Energy Density Physics Simulation Center for Applied Physics and Technologyand Inertial Fusion Sciences and ApplicationsCollaborative Innovation Center of Ministry of EducationPeking UniversityBeijing100871China

金属材料中,颈缩失稳通常由表面缺陷或材料不均匀性等潜在扰动引起并随着微结构的演化进一步发展.本文将构型扰动法与考虑辐照效应的晶体塑性本构关系相结合,模拟了辐照前后局部化颈缩和吕德斯带等现象.通过考虑模拟局部化变形中扰动的... 详细信息

金属材料中,颈缩失稳通常由表面缺陷或材料不均匀性等潜在扰动引起并随着微结构的演化进一步发展.本文将构型扰动法与考虑辐照效应的晶体塑性本构关系相结合,模拟了辐照前后局部化颈缩和吕德斯带等现象.通过考虑模拟局部化变形中扰动的必要性,发现了外在的几何缺陷和内禀的微结构演化在颈缩过程中的竞争关系.此外,以纯金属铜和奥氏体不锈钢为例研究了辐照硬化效应对颈缩失稳的影响.结果表明,流动应力的增加和功硬化能力的降低是均匀延伸率下降的原因,辐照效应导致的织构软化作用可以忽略.为了解释辐照后低碳钢下屈服点和吕德斯应变同时增加的现象,一种位错脱钉扎和位错与辐照缺陷的交互作用相耦合的塑性变形机制被提出并结合修正的流动方程,很好地模拟出包含屈服下降、应力平台、应变扩展和应变硬化等特征的吕德斯带现象.其中,位错与辐照缺陷的相互作用也可以解释辐照后纯金属材料中发现的扩散颈缩现象.我们的模拟结果既阐明了几何缺陷在颈缩失稳中的重要作用,也为辐照金属中常见的宏观塑性失稳现象提供了清晰的物理图像.

关键词：吕德斯带金属材料奥氏体不锈钢晶体塑性下屈服点流动应力几何缺陷均匀延伸率

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A hybrid physics-informed data-driven neural network for CO_(2) storage in depleted shale reservoirs

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Petroleum science 2024年第1期21卷 286-301页

作者： Yan-Wei Wang Zhen-Xue Dai Gui-Sheng Wang Li Chen Yu-Zhou Xia Yu-Hao Zhou College of Construction Engineering Jilin UniversityChangchun130026JilinChina Institute of Intelligent Simulation and Early Warning for Subsurface Environment Jilin UniversityChangchun130026JilinChina School of Energy Resources China University of GeosciencesBeijing100083China Department of Safety Environmental Protection and Quality ManagementShengli OilfieldSinopecDongying257000ShandongChina Key Laboratory of Thermo-Fluid Science and Engineering of MOE School of Energy and Power EngineeringXi'an Jiaotong UniversityXi'an710049ShaanxiChina College of Computer Science and Technology China University of Petroleum(East China)Qingdao266580ShandongChina Department of Physics University of FribourgFribourg1700Switzerland

To reduce CO_(2) emissions in response to global climate change,shale reservoirs could be ideal candidates for long-term carbon geo-sequestration involving multi-scale transport ***,most current CO_(2) sequestration models do not adequately consider multiple transport ***,the evaluation of CO_(2) storage processes usually involves laborious and time-consuming numerical simulations unsuitable for practical prediction and *** this paper,an integrated model involving gas diffusion,adsorption,dissolution,slip flow,and Darcy flow is proposed to accurately characterize CO_(2) storage in depleted shale reservoirs,supporting the establishment of a training *** this basis,a hybrid physics-informed data-driven neural network(HPDNN)is developed as a deep learning surrogate for prediction and *** incorporating multiple sources of scientific knowledge,the HPDNN can be configured with limited simulation resources,significantly accelerating the forward and inversion ***,the HPDNN can more intelligently predict injection performance,precisely perform reservoir parameter inversion,and reasonably evaluate the CO_(2) storage capacity under complicated *** validation and test results demonstrate that the HPDNN can ensure high accuracy and strong robustness across an extensive applicability range when dealing with field data with multiple noise *** study has tremendous potential to replace traditional modeling tools for predicting and making decisions about CO_(2) storage projects in depleted shale reservoirs.

关键词： Deep learning Physics-informed data-driven neural network Depleted shale reservoirs CO_(2)storage Transport mechanisms

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Photoreflectance system based on vacuum ultraviolet laser at 177.3 nm

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Chinese Physics B 2022年第11期31卷 100-105页

作者： Wei-Xia Luo Xue-Lu Liu Xiang-Dong Luo Feng Yang Shen-Jin Zhang Qin-Jun Peng Zu-Yan Xu Ping-Heng Tan State Key Laboratory of Superlattices and Microstructures Institute of SemiconductorsChinese Academy of Sciences(CAS)Beijing 100083China Center of Materials Science and Optoelectronics Engineering&CAS Center of Excellence in Topological Quantum Computation University of Chinese Academy of SciencesBeijing 100049China Jiangsu Key Laboratory of ASIC Nantong UniversityNantong 226019China Key Laboratory of Solid State Laser Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China Key Laboratory of Function Crystal and Laser Technology Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China

Photoreflectance(PR)spectroscopy is a powerful and non-destructive experimental technique to explore interband transitions of *** most PR systems,the photon energy of the pumping beam is usually chosen to be higher than the bandgap energy of the *** the best of our knowledge,the highest energy of pumping laser in reported PR systems is 5.08 eV(244 nm),not yet in the vacuum ultraviolet(VUV)*** this work,we report the design and construction of a PR system pumped by VUV laser of 7.0 eV(177.3 nm).At the same time,dual-modulated technique is applied and a dual channel lock-in-amplifier is integrated into the system for efficient PR *** system’s performance is verified by the PR spectroscopy measurement of well-studied semiconductors,which testifies its ability to probe critical-point energies of the electronic band in semiconductors from ultraviolet to near-infrared spectral region.

关键词： photoreflectance spectroscopy vacuum ultraviolet laser electronic band structure critical points of electron density of states

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Instance-adaptive Zero-shot Chain-of-Thought Prompting 38

Instance-adaptive Zero-shot Chain-of-Thought Prompting

引用

38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Yuan, Xiaosong Shen, Chen Yan, Shaotian Zhang, Xiaofeng Xie, Liang Wang, Wenxiao Guan, Renchu Wang, Ying Ye, Jieping College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering MoE Jilin University China Alibaba Cloud Computing China Shanghai Jiao Tong University China College of Computer Science and Technology Zhejiang University of Technology China College of Software Zhejiang University China

Zero-shot Chain-of-Thought (CoT) prompting emerges as a simple and effective strategy for enhancing the performance of large language models (LLMs) in real-world reasoning tasks. Nonetheless, the efficacy of a singular, task-level prompt uniformly applied across the whole of instances is inherently limited since one prompt cannot be a good partner for all, a more appropriate approach should consider the interaction between the prompt and each instance meticulously. This work introduces an instance-adaptive prompting algorithm as an alternative zero-shot CoT reasoning scheme by adaptively differentiating good and bad prompts. Concretely, we first employ analysis on LLMs through the lens of information flow to detect the mechanism under zero-shot CoT reasoning, in which we discover that information flows from question to prompt and question to rationale jointly influence the reasoning results most. We notice that a better zero-shot CoT reasoning needs the prompt to obtain semantic information from the question, and then the rationale aggregates sufficient information from the question directly and via the prompt indirectly. On the contrary, lacking any of those would probably lead to a bad one. Stem from that, we further propose an instance-adaptive prompting strategy (IAP) for zero-shot CoT reasoning. Experiments conducted with LLaMA-2, LLaMA-3, and Qwen on math, logic, and commonsense reasoning tasks (e.g., GSM8k, MMLU, Causal Judgement) obtain consistent improvement, demonstrating that the instance-adaptive zero-shot CoT prompting performs better than other task-level methods with some curated prompts or sophisticated procedures, showing the significance of our findings in the zero-shot CoT reasoning mechanism. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

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Global methyl halide emissions from biomass burning during 2003-2021

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Environmental science and Ecotechnology 2023年第2期14卷 79-86页

作者： Xiaoyi Hu Di Chen Liting Hu Bowei Li Xinhe Li Xuekun Fang College of Environmental&Resource Sciences Zhejiang UniversityHangzhouZhejiang310058PR China State Key Joint Laboratory for Environmental Simulation and Pollution Control College of Environmental Sciences and EngineeringPeking UniversityBeijing100871PR China Center for Global Change Science Massachusetts Institute of TechnologyCambridgeMA02139USA

Methyl halides(CH3Cl,CH3Br,and CH3I)are ozone-depleting *** burning(BB)is an important source of methyl *** temporal variations and global spatial distribution of BB methyl halide emissions are ***,global methyl halide emissions from BB during 2003e2021 were estimated based on satellite data.A significant decreasing trend(p<0.01)in global methyl halide emissions from BB was found between 2003 and 2021,with CH3Cl emissions decreasing from 302 to 220 Gg yr^(-1),CH3Br emissions decreasing from 16.5 to 11.7 Gg yr^(-1),and CH3I emissions decreasing from 8.9 to 6.1 Gg yr^(-1).From a latitudinal perspective,the northern high-latitude region(60e90N)was the only latitude zone with significant increases in BB methyl halide emissions(p<0.01).Based on an analysis of the drivers of BB methyl halide emissions,emissions from cropland,grassland,and shrubland fires were more correlated with the burned area,while BB emissions from forest fires were more correlated with the emissions per unit burned *** non-BB emissions of CH3Cl increased from 4749 Gg yr^(-1)in 2003 to 4882 Gg yr^(-1)in 2020,while those of CH3Br decreased from 136 Gg yr^(-1)in 2003 to 118 Gg yr^(-1)in 2020(global total CH3I emissions are not available).The finding indicates that global CH3Cl and CH3Br emissions from sources besides BB increased and decreased during *** on our findings,not only searching for unknown sources is important,but also re-evaluating known sources is necessary for addressing methyl halide emissions.

关键词： Methyl halides Biomass burning Emission inventory Global budget Ozone depletion

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Adaptive Sliding Mode Control for Automotive Electronic Throttle based on Extremum Seeking

Adaptive Sliding Mode Control for Automotive Electronic Thro...

引用

Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Lin Chen Jinwu Gao Jilin University and the Department of Control Science and Engineering State Key Laboratory of Automotive Simulation and Control Jilin University Changchun China

ISBN: (数字)9798350379228

ISBN: (纸本)9798350390780

With the help of extremum seeking (ES), an improved adaptive sliding mode control (ES-ASMC) method is proposed to accomplish rapid and precise servo control of throttle angle. Some existing adaptive sliding mode control schemes applied to electronic throttle focus only on the switching gain, with limited attention to other parameters. While in the method presented in this study, all parameters of the sliding mode control (SMC) law are optimized simultaneously. An objective function is designed to measure the tracking error, which is subsequently reduced by ES with gradient descent to obtain a more favorable tracking response. In addition, a tracking differentiator is introduced to suppress the measurement noise of the output signal in place of the regular differentiator. Eventually, hardware experiments are conducted in an electronic throttle control (ETC) system to validate the effectiveness of the proposed approach. Comparison with other solutions reveals the superiority of the ES-ASMC in terms of tracking accuracy and response speed.

关键词： Accuracy Noise Switches Linear programming Hardware Trajectory Noise measurement

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Performance Creativity Enhancement Method Based on Emotional Analysis and Concentration

Journal of Network Intelligence

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Journal of Network Intelligence 2023年第3期8卷 1019-1048页

作者： Liu, Chang Zhang, Longfei Huang, Tianyu Wu, Yufeng Zhang, Fuquan Lin, Qi Department of Computer Science and Technology Beijing Institute of Technology 100081 China Beijing Key Laboratory of Digital Performance and Simulation Technology 100081 China College of Computer and Control Engineering Minjiang University Fuzhou350108 China Digital Media Art Key Laboratory of Sichuan Province Sichuan Conservatory of Music Chengdu610021 China Informatics King’s College London LondonWC2R 2LS United Kingdom

Intelligent performance creativity is a new research direction of the intersection of technology and art. At present, the cutting-edge technologies such as computer simulation, emotional computing and machine learning have been applied to the evaluation and enhancement of intelligent performance creativity. The application of these technologies has greatly increased the diversity of performance forms and the complexity of performance content. For the traditional stage performance, due to the lack of timely feedback from the audience, it is difficult for the director to enhance the creativity effec-tively. In order to solve this problem, this paper proposes concentration level enhancement method (CLEM). The CLEM extracts and analyzes the physiological and emotional characteristics of the audience by collecting the multimodal physiological signal data of the audience. Through the analysis of the features, the concentration information of the audience is obtained and the concentration level (CL) is defined. Based on the physiological and emotional induction mechanism, a performance creativity enhancement strategy is proposed, which enhances the performance creativity in two aspects: " Visual-based" and " Content-based". Through the concentration level enhancement method, compare the audience’s performance attention changes before and after the performance creativity enhancement, select the effective strategies to enhance the performance creativity, and provide the director with quantifiable performance creativity enhancement feedback results. The experimental results show that the CLEM proposed in this paper can effectively induce significant changes in the audience’s emotion, and the selected creative enhancement strategy can significantly improve the audience’s concentration and achieve the purpose of enhancing the creativity of the performance. © 2023, Journal of Network Intelligence.

关键词： Physiology

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Research progress and development trend of coastal wetland restoration in greater bay areas

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Watershed Ecology and the Environment 2022年 4卷 177-187页

作者： Yu, Shuling Cui, Baoshan Xie, Tian Wang, Qing Yan, Jiaguo Ning, Zhonghua State Key Laboratory of Water Environment Simulation School of Environment Beijing Normal University Beijing 100875 China School of Environmental Science and Engineering Tiangong University Tianjin 300387 China

We explored the potential for functional processes maintenance principles to be applied in coastal restoration. Greater bay areas are located in the transition zone between land and sea. Coastal wetlands play a key role in the ecological environment construction of greater bay areas. Due to the dual effects of high-intensity human activities and climate change, coastal wetlands in greater bay areas have suffered varying degrees of damage, including reduced area, habitat degradation, and impaired ecological functions. However, the research progress and development trend of restoration of damaged coastal wetland ecosystems has not yet been revealed, and the application theory of functional processes in coastal restoration is still unclear. Based on extensive literature research, our study reviewed the mechanisms and types of coastal wetland ecosystem restoration in greater bay areas. Coastal wetland ecosystem restoration technologies and methods are mainly based on the biological, hydrological, and chemical processes in greater bay areas. The current research progress and existing deficiencies of coastal wetland ecosystem restoration in greater bay areas are clarified. Combining years of research background in the coastal wetland field, focusing on the importance and criticality of coastal wetland functional processes to maintaining ecosystem functions, the main future research trends are proposed, which will solve the principal theory facing the restoration of coastal wetland ecosystems in greater bay areas. Our study will promote the application of new concepts and new techniques of coastal wetland restoration nationwide, and improve the overall level of ecological restoration in coastal wetland. © 2022 The Authors

关键词： Biological process Chemical process Coastal wetland Ecological restoration Greater bay areas Hydrological process

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