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How can gravitational-wave standard sirens and 21-cm intensity mapping jointly provide a precise late-universe cosmological probe?

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Physical Review D 2021年第10期104卷 103507-103507页

作者： Shang-Jie Jin Ling-Feng Wang Peng-Ju Wu Jing-Fei Zhang Xin Zhang Department of Physics College of Sciences Northeastern University Shenyang 110819 China MOE Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang 110819 China

In the next decades, the gravitational-wave (GW) standard siren observations and the neutral hydrogen 21-cm intensity mapping (IM) surveys, as two promising cosmological probes, will play an important role in precisely measuring cosmological parameters. In this work, we make a forecast for cosmological parameter estimation with the synergy between the GW standard siren observations and the 21-cm IM surveys. We choose the Einstein Telescope (ET) and the Taiji observatory as the representatives of the GW detection projects and choose the Square Kilometre Array (SKA) phase I mid-frequency array as the representative of the 21-cm IM experiments. In the simulation of the 21-cm IM data, we assume perfect foreground removal and calibration. We find that the synergy of the GW standard siren observations and the 21-cm IM survey could break the cosmological parameter degeneracies. The joint ET+Taiji+SKA data give σ(H0)=0.28 km s−1 Mpc−1 in the ΛCDM model, σ(w)=0.028 in the wCDM model, which are better than the results of Planck+BAO+SNe, and σ(w0)=0.077 and σ(wa)=0.295 in the CPL model, which are comparable with the results of Planck+BAO+SNe. In the ΛCDM model, the constraint precision of H0 and Ωm is less than or rather close to 1%, indicating that the magnificent prospects for precision cosmology with these two promising cosmological probes are worth expecting.

关键词： Cosmological parameters Dark energy Gravitational waves Sky surveys

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Energy decision making of steel company based on energy management system

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IFAC-PapersOnLine 2020年第5期53卷 608-613页

作者： Yunqi Ban Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Ministry of Education China

With the promotion of the concept of smart city, every industry in the city needs to become more intelligent. As a pillar industry of economic development, the energy-intensive steel plant has brought challenges to the city environment. Factories in cities also need to be more intelligent. The application of artificial intelligence and data technology has become one of the important meaning to improve the management level of steel plant and to improve the city environment. As a modern management tool, energy management system provides a new way of intelligent management for iron and steel companies. The energy management system can be used to monitor the energy consumption in real time, master the energy consumption of the company and allocate the energy consumption of the company. So we can get better production plan, reduce the energy consumption of the company, and improve the competitiveness of the company. Two functions, energy allocation and energy consumption prediction, are developed in the energy management system. According to the formula of iron balance and the relationship between iron and energy consumption in each production unit, the mathematical model of energy allocation is established and applied in the energy management system. Another one of the functions of the energy management system is to predict the energy consumption of steel companies with maximum prediction error is about 5%, which provides the basis for the auxiliary decision-making of energy management. The forecasted results can be used to better understand the trend of energy consumption of the whole company, so as to do a good decision of energy reserve and reduce unnecessary waste.

关键词： energy management system energy prediction energy consumption decision making

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High Sensitive Butanone Gas Sensor Based on Co3o4 Modified Sno2 Hollow Spheres with Ppb-Level Detection Limit

SSRN

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SSRN 2022年

作者： Yang, Liu Ji, Hanyang Yuan, Zhenyu Meng, Fanli College of Information Science and Engineering Northeastern University Shenyang110819 China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao066004 China Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Ministry of Education Shenyang110819 China

Butanone is a precursor chemical and detrimental to human body, as a consequence, it is significant for social stability to accurately detect trace butanone. In this paper, Co3O4/SnO2 is prepared by modifying Co3O4 nanoparticles on the surface of SnO2 hollow spheres, demonstrating outstanding sensitivity to butanone. SEM, TEM, HRTEM, EDS, XRD, XPS, EPR and BET characterize the morphology, composition, and properties of Co3O4/SnO2. The response of 0.5 at% Co3O4/SnO2 to 100 ppm butanone is 3900 at 210 °C, moreover, the detection limit can reach ppb level (response is 7.2 to 1 ppb), with excellent repeatability and stability. Since Cox+ can replace Sn2+, the content of oxygen vacancy on the surface is adjusted by modifying Co3O4 with different content to improve the gas sensitivity. Of course, the specific surface area and pore size change correspondingly. The role of p-n heterojunction, as well as the synergistic sensitization principle of catalytic and small size effect, are also analyzed in detail. The gas sensing results show that 0.5 at% Co3O4/SnO2 is an excellent gas sensing material. © 2022, The Authors. All rights reserved.

关键词： Oxygen vacancies

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Multipole analysis on gyroscopic precession in f(R) gravity with irreducible Cartesian tensors

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Physical Review D 2021年第2期104卷 024052-024052页

作者： Bofeng Wu Xin Zhang Department of Physics College of Sciences Northeastern University Shenyang 110819 China Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Ministry of Education Shenyang 110819 China

In f(R) gravity, the metric, presented in the form of the multipole expansion, for the external gravitational field of a spatially compact supported source up to 1/c3 order is provided, where c is the velocity of light in vacuum. The metric consists of general relativity-like part and f(R) part, where the latter is the correction to the former in f(R) gravity. At the leading pole order, the metric can reduce to that for a pointlike or ball-like source. For the gyroscope moving around the source without experiencing any torque, the multipole expansions of its spin’s angular velocities of gravitoelectric-type precession, gravitomagnetic-type precession, f(R) precession, and Thomas precession are all derived. The first two types of precession are collectively called general relativity-like precession, and the f(R) precession is the correction in f(R) gravity. At the leading pole order, these expansions can recover the results for the gyroscope moving around a pointlike or ball-like source. If the gyroscope has a nonzero four-acceleration, its spin’s total angular velocity of precession up to 1/c3 order in f(R) gravity is the same as that in general relativity.

关键词： Alternative gravity theories Astrophysical studies of gravity General relativity formalism

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Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking

arXiv

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arXiv 2022年

作者： Cui, Yubo Shan, Jiayao Gu, Zuoxu Li, Zhiheng Fang, Zheng The Faculty of Robot Science and Engineering Northeastern University Shenyang110819 China The Science and Technology Near-Surface Detection Laboratory Wuxi214000 China The National Frontiers Science Center for Industrial Intelligence and Systems Optimization Shenyang110819 China The The Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Ministry of Education Shenyang110819 China

3D single object tracking is a key task in 3D computer vision. However, the sparsity of point clouds makes it difficult to compute the similarity and locate the object, posing big challenges to the 3D tracker. Previous works tried to solve the problem and improved the tracking performance in some common scenarios, but they usually failed in some extreme sparse scenarios, such as for tracking objects at long distances or partially occluded. To address the above problems, in this paper, we propose a sparse-to-dense and transformer-based framework for 3D single object tracking. First, we transform the 3D sparse points into 3D pillars and then compress them into 2D bird's eye view (BEV) features to have a dense representation. Then, we propose an attention-based encoder to achieve global similarity computation between template and search branches, which could alleviate the influence of sparsity. Meanwhile, the encoder applies the attention on multi-scale features to compensate for the lack of information caused by the sparsity of point cloud and the single scale of features. Finally, we use set-prediction to track the object through a two-stage decoder which also utilizes attention. Extensive experiments show that our method achieves very promising results on the KITTI and NuScenes datasets. Code is available at https://***/3bobo/smat. © 2022, CC BY.

关键词： Signal encoding

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Constraints on active and sterile neutrinos in an interacting dark energy cosmology

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Science China(Physics,Mechanics & Astronomy) 2020年第9期63卷 16-29页

作者： Lu Feng Dong-Ze He Hai-Li Li Jing-Fei Zhang Xin Zhang College of Physical Science and Technology Shenyang Normal UniversityShenyang110034China Department of Physics College of SciencesNortheastern UniversityShenyang 110819China Ministry of Education’s Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern UniversityShenyang 110819China Center for High Energy Physics Peking UniversityBeijing 100080China

We investigate the impacts of dark energy on constraining massive(active/sterile)neutrinos in interacting dark energy(IDE)models by using the current *** employ two typical IDE models,the interacting w cold dark matter(IwCDM)model and the interacting holographic dark energy(IHDE)model,to make an *** avoid large-scale instability,we use the parameterized post-Friedmann approach to calculate the cosmological perturbations in the IDE *** cosmological observational data used in this work include the Planck cosmic microwave background(CMB)anisotropies data,the baryon acoustic oscillation data,the type Ia supernovae data,the direct measurement of the Hubble constant,the weak lensing data,the redshift-space distortion data,and the CMB lensing *** find that the dark energy properties could influence the constraint limits of active neutrino mass and sterile neutrino parameters in the IDE *** also find that the dark energy properties could influence the constraints on the coupling strength parameterβ,and a positive coupling constant,β>0,can be detected at the 2.5σstatistical significance for the IHDE+νs model by using the all-data *** addition,we also discuss the"Hubble tension"issue in these *** find that the H0 tension can be effectively relieved by considering massive sterile neutrinos,and in particular in the IHDE+νsmodel the H0 tension can be reduced to be at the 1.28σlevel.

关键词： interacting dark energy neutrino mass active neutrinos sterile neutrinos Hubble tension

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Recovery of Lead and Iodine from Spent Perovskite Solar Cells in Molten Salt

SSRN

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SSRN 2022年

作者： Wang, Hongya Chen, Xiang Li, Xianyang Qu, Jiakang Xie, Hongwei Gao, Shuaibo Wang, Dihua Yin, Huayi Key Laboratory for Ecological Metallurgy of Multimetallic Mineral of Ministry of Education School of Metallurgy Northeastern University Shenyang110819 China School of Resource and Environmental Science Wuhan University Wuhan430072 China Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Northeastern University Shenyang110819 China

Organic-inorganic hybrid perovskite solar cells (PSCs) have received extensive attention due to their high power conversion efficiency, bright prospects for large-scale deployment, and low cost. However, the end-of-life lead (Pb)-based PSC will pose significant resource and environmental challenges. Herein, we develop an eco-friendly strategy, the molten-salt-electrolysis (MSE), to recover Pb and iodine (I2) from spent Pb-based PSC. First, lead iodide (PbI2) was dissolved in molten LiCl-KCl and then electrochemically converted into I2 at a graphite anode and Pb at the cathode. The recovery efficiency of Pb reached 97.65% with a high current efficiency of 96.87%. In addition, a high PbI2 leaching rate of ~ 99.8% and a high PbI2 solubility of ~ 5.97 wt. % in molten LiCl-KCl at 450 oC can sustain a rapid leaching and recovery process. Overall, MSE is a simple, rapid, and environmental-benign method to recover Pb-based PSCs, eliminating the Pb contamination and closing the iodine cycle. © 2022, The Authors. All rights reserved.

关键词： Perovskite

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A Synchronous and Accurate Detection Method for Gas Pipeline Leakage Position and Flow Rate Based on Double Fiber Bragg Gratings

SSRN

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SSRN 2022年

作者： Wang, Bo-Yuan Yuan, Zhen-Yu Meng, Fan-Li Li, Yu-Dong College of Information Science and Engineering Northeastern University Shenyang110819 China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao066004 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang110819 China Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Ministry of Education Shenyang110819 China

Fast and accurate detection of pipeline leaks plays an important role in reducing economic losses and ensuring the safety of personnel. However, for the two important indicators of gas pipeline detection, how to effectively detect the leakage location and leakage rate simultaneously is a serious challenge. In this paper, we present an innovative optical fiber detection method based on double fiber Bragg gratings (FBGs) string to solve this problem. Combined with the theory of material mechanics and fluid mechanics, the binary equations are derived as the demodulation formula. In the detection, the corresponding physical quantities can be calculated by substituting the center wavelength of the two FBGs after drift. The experiments demonstrate that this sensor's gas flow rate sensitivity in different positions can be up to 376.67 pm·s/m. Meanwhile, at the same flow rate and different leakage positions, the sensor has sensitive symmetrical performance. The error results manifest that the velocity error is not more than 0.13 m/s, and the relative position detection error is not more than 0.167%. Overall, besides the extended measurement range and excellent linearity, our method also has the advantages of low production cost, simple structure and ease of production, which is more suitable for gas pipeline health monitoring in the future. © 2022, The Authors. All rights reserved.

关键词： Fiber Bragg gratings

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Local Auxiliary Spatial-Spectral Decoupling Transformer Network for Cross-Scene Hyperspectral Image Classification

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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年 18卷 14784-14803页

作者： Chen, Qiusheng Fang, Zhuoqun Li, Zhaokui Du, Qian Deng, Shizhuo Jia, Tong Chen, Dongyue Northeastern University College of Information Science and Engineering Shenyang 110819 China Shenyang Aerospace University College of Artificial Intelligence Shenyang 110136 China Shenyang Aerospace University School of Computer Science Shenyang 110136 China Mississippi State University Department of Electrical and Computer Engineering Starkville 39762 MS United States Northeastern University Foshan Graduate School of Innovation Guangdong Foshan 528311 China Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Ministry of Education Liaoning Shenyang 110819 China

The feature-level domain alignment based on deep learning techniques has greatly improved the performance of unsupervised domain adaptation (UDA) for hyperspectral image (HSI) classification. However, most of these methods leverage convolutional neural networks to capture local features, overlooking the comparable spatial and spectral global information shared by both the source and target domains. To overcome this issue, we propose a local auxiliary spatial-spectral decoupling transformer (LASDT) network to ease the learning of global domain-invariant information. The spatial and spectral global features of HSIs are extracted through a dual-branch design, preventing the feature coupling of different dimensions. In order to compress the model's parameter search space, a local auxiliary global feature extraction strategy is devised. First, local prior constraints are introduced by extracting primitive features using convolutional intra-token embedding. Next, the extraction of global spatial and spectral information from these primitive features is effectively achieved using the self-attention mechanism. Finally, a dynamic feature fusion mechanism is devised that enables the model to focus on features more conducive to transfer while suppressing irrelevant features. By using only standard adversarial domain alignment, LASDT achieves the state-of-the-art performance, demonstrating the model's superior capability in UDA for HSI classification. © 2008-2012 IEEE.

关键词： Hyperspectral image classification transformer unsupervised domain adaptation

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Event-triggered control for switched descriptor systems based on sampled-data implementation

Event-triggered control for switched descriptor systems base...

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第33届中国控制与决策会议

作者： Jiasheng Shi Jun Zhao State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Ministry of Education College of Information Science and Engineering Northeastern University

This paper studies event-triggered control problem for a class of switched descriptor systems based on sampled-data *** switched descriptor systems are first to be decomposed into a equivalent form,and then a reduced-order switched system is ***,a sufficient condition ensures that the closed-loop system is exponentially stable under average dwell time switching ***,the Zeno behavior is ruled *** the end,a numerical examples is demonstrated the merit and effectiveness of the proposed methods.

关键词： Average dwell time Switched descriptor systems Event-triggered control Sampled-data

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