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arXiv 2022年

作者： Chen, Geng Liu, Si-Jie Sun, Yu-Jia Ji, Ge-Peng Wu, Ya-Feng Zhou, Tao Northwestern Polytechnical University Xi’an710072 China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology School of Computer Science and Engineering China Data Processing Center School of Power and Energy China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China School of Computer Science Inner Mongolia University Hohhot010021 China Artificial Intelligence Institute School of Computer Science Wuhan University Wuhan430072 China

Camouflaged object detection (COD) aims to identify the objects that conceal themselves in natural scenes. Accurate COD suffers from a number of challenges associated with low boundary contrast and the large variation of object appearances, e.g., object size and shape. To address these challenges, we propose a novel Context-aware Cross-level Fusion Network (C2F-Net), which fuses context-aware cross-level features for accurately identifying camouflaged objects. Specifically, we compute informative attention coefficients from multi-level features with our Attention-induced Cross-level Fusion Module (ACFM), which further integrates the features under the guidance of attention coefficients. We then propose a Dual-branch Global Context Module (DGCM) to refine the fused features for informative feature representations by exploiting rich global context information. Multiple ACFMs and DGCMs are integrated in a cascaded manner for generating a coarse prediction from high-level features. The coarse prediction acts as an attention map to refine the low-level features before passing them to our Camouflage Inference Module (CIM) to generate the final prediction. We perform extensive experiments on three widely used benchmark datasets and compare C2F-Net with state-of-the-art (SOTA) models. The results show that C2F-Net is an effective COD model and outperforms SOTA models remarkably. Further, an evaluation on polyp segmentation datasets demonstrates the promising potentials of our C2F-Net in COD downstream applications. Our code is publicly available at: https://***/Ben57882/C2FNet-TSCVT. Copyright © 2022, The Authors. All rights reserved.

关键词： Object detection

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Remote Sensing Plateau Forest Segmentation with Boundary Preserving Double Loss Function Collaborative Learning

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Journal of New Media 2022年第4期4卷 165-177页

作者： Ying Ma Jiaqi Zhang Pengyu Liu Zhihao Wei Lingfei Zhang Xiaowei Jia School of Physics and Electronic Information Engineering Qinghai Minzu UniversityXining810007China The Information Department Beijing University of TechnologyBeijing100124China Advanced Information Network Beijing Laboratory Beijing100124China Computational Intelligence and Intelligent Systems Beijing key Laboratory Beijing100124China Institute of Remote Sensing and Geographic Information System School of Earth and Space SciencesPeking UniversityBeijing100871China Department of Computer Science University of Pittsburgh15260USA

Plateau forest plays an important role in the high-altitude ecosystem,and contributes to the global carbon *** forest monitoring request in-suit data from field *** recent development of the remote sensing technic,large-scale satellite data become available for surface *** to the various information contained in the remote sensing data,obtain accurate plateau forest segmentation from the remote sensing imagery still remain *** developed deep learning(DL)models such as deep convolutional neural network(CNN)has been widely used in image processing tasks,and shows possibility for remote sensing ***,due to the unique characteristics and growing environment of the plateau forest,generate feature with high robustness needs to design structures with high *** at the problem that the existing deep learning segmentation methods are difficult to generate the accurate boundary of the plateau forest within the satellite imagery,we propose a method of using boundary feature maps for collaborative *** are three improvements in this ***,design a multi input model for plateau forest segmentation,including the boundary feature map as an additional input label to increase the amount of information at the ***,we apply a strong boundary search algorithm to obtain boundary value,and propose a boundary value loss ***,improve the Unet segmentation network and combine dense block to improve the feature reuse ability and reduces the image information loss of the model during *** then demonstrate the utility of our method by detecting plateau forest regions from ZY-3 satellite regarding to Sanjiangyuan nature *** experimental results show that the proposed method can utilize multiple feature information comprehensively which is beneficial to extracting information from boundary,and the detection accuracy is generally higher than several state-of-art algorit

关键词： Remote sensing forest segmentation boundary preserving double loss function

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Thermofluids Performances with Innovative Design on Multi-Circuit Nested Loop Applicable for Double-Layer Microchannel Heat Sinks

SSRN

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SSRN 2022年

作者： Shen, Han Liu, Huan-Ling Shao, Xiaodong Xie, Gongnan Wang, Chi-Chuan Shaanxi Key Laboratory of Space Solar Power Station System School of Mechano-Electronic Engineering Xidian University Xi’an710071 China School of Marine Science and Technology Northwestern Polytechnical University Xi’an710072 China Department of Mechanical Engineering National Yang Ming Chiao Tung University Hsinchu300 Taiwan

This study numerically proposes a novel microchannel heat sink design named multi-circuit nested loop (ML) to strength the thermal performance of double-layer microchannel heat sinks(DMCHS). The ML is introduced into the DMCHS to enhance the thermal characteristics and is compared with the traditional straight DMCHS. Due to the complexity of the ML-DMCHS, 4 different working conditions on inlets and outlets are designed to find the optimal one. Based on the analysis of the thermal gradients on substrate, flow characteristics of coolant, overall thermal resistance and thermal performance factor, it is found that the novel ML-DMCHS not only can significantly reduce the peak temperature, but also offer better temperature uniformity on substrate. The peak temperature on substrate can be reduced up to 34K when compared with traditional parallel straight double-layer microchannels (P-DMCHS). Furthermore, the inner cooling circuit in ML-DMCHS shows greater impact on the lowest temperature on substrate, while the outer cooling circuit affects more on the peak temperature. © 2022, The Authors. All rights reserved.

关键词： Heat resistance

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Polarized Signatures of the Earth Through Time: An Outlook for the Habitable Worlds Observatory

arXiv

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arXiv 2024年

作者： Goodis Gordon, Kenneth E. Karalidi, Theodora Bott, Kimberly M. Wogan, Nicholas F. Arney, Giada N. Parenteau, Mary N. Kataria, Tiffany Meadows, Victoria S. Planetary Sciences Group Department of Physics University of Central Florida 4111 Libra Drive OrlandoFL32816 United States SETI Institute Mountain ViewCA94043 United States NASA Nexus for Exoplanet System Science Virtual Planetary Laboratory Team University of Washington Box 351580 SeattleWA98195 United States Space Science Division NASA Ames Research Center Moffett FieldCA94035 United States NASA Goddard Space Flight Center 8800 Greenbelt Road GreenbeltMD20771 United States GSFC Sellers Exoplanet Environments Collaboration NASA Goddard Space Flight Center GreenbeltMD20771 United States Exobiology Branch NASA Ames Research Center Moffett FieldCA94035 United States Astrophysics Section NASA Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States Department of Earth and Space Sciences Astrobiology Program University of Washington SeattleWA98195 United States

The search for life beyond the Solar system remains a primary goal of current and near-future missions, including NASA’s upcoming Habitable Worlds Observatory (HWO). However, research into determining the habitability of terrestrial exoplanets has been primarily focused on comparisons to modern-day Earth. Additionally, current characterization strategies focus on the unpolarized flux from these worlds, taking into account only a fraction of the informational content of the reflected light. Better understanding the changes in the reflected light spectrum of the Earth throughout its evolution, as well as analyzing its polarization, will be crucial for mapping its habitability and providing comparison templates to potentially habitable exoplanets. Here we present spectropolarimetric models of the reflected light from the Earth at six epochs across all four geologic eons. We find that the changing surface albedos and atmospheric gas concentrations across the different epochs allow the habitable and non-habitable scenarios to be distinguished, and diagnostic features of clouds and hazes are more noticeable in the polarized signals. We also discuss how using Mie scattering for naturally non-spherical particles, which is a common simplification for exoplanet modeling, affects the resulting planetary signals. Finally, our results suggest that pushing the HWO planet-to-star flux contrast limit down to 1 × 10−13 could allow for the characterization in both unpolarized and polarized light of an Earth-like planet at any stage in its history. © 2024, CC BY.

关键词： NASA

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Design of Reusable Effectiveness Evaluation Model Framework

Design of Reusable Effectiveness Evaluation Model Framework

引用

Chinese Control and Decision Conference, CCDC

作者： Shuang Zhang Wei Li Shenglin Lin Ming Yang Jiahui Tong Control and Simulation Center Harbin Institute of Technology Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

In order to make the effectiveness evaluation models of the weapon equipment system universal and flexible, and adapt to different evaluation objects, a framework of effectiveness evaluation model is designed. Next a series of modular and reusable effectiveness evaluation models are proposed under the framework. Each type of evaluation model is built based on IDEF0, and the corresponding input and output of each model are designed. To further improve reusability, several models are mathematically described and model interface is designed based on XML.

关键词： Indexes Data models Data mining Analytical models Mathematical model Optimization Adaptation models

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Individual risk profiling for portable devices using a neural network to process the cognitive reactions and the emotional responses to a multivariate situational risk assessment

arXiv

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arXiv 2021年

作者： Jumelle, Frederic So, Kelvin Deng, Didan Bright Nation Limited Smart-Space 3F Cyberport Hong Kong Neuromorphic Interactive System Laboratory Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

In this paper, we are presenting a novel method and system for neuropsychological performance testing that can establish a link between cognition and emotion. It comprises a portable device used to interact with a cloud service which stores user information under username and is logged into by the user through the portable device;the user information is directly captured through the device and is processed by artificial neural network;and this tridimensional information comprises user cognitive reactions, user emotional responses and user chronometrics. The multivariate situational risk assessment is used to evaluate the performance of the subject by capturing the 3 dimensions of each reaction to a series of 30 dichotomous questions describing various situations of daily life and challenging the user's knowledge, values, ethics, and principles. In industrial application, the timing of this assessment will depend on the user's need to obtain a service from a provider such as opening a bank account, getting a mortgage or an insurance policy, authenticating clearance at work or securing online payments. © 2021, CC BY-NC-SA.

关键词： Risk assessment

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CIBER 4th flight fluctuation analysis: Measurements of near-IR auto- and cross-power spectra on arcminute to sub-degree scales

arXiv

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arXiv 2025年

作者： Feder, Richard M. Bock, James J. Cheng, Yun-Ting Cooray, Asantha Korngut, Phillip M. Matsuura, Shuji Mirocha, Jordan Nguyen, Chi H. Takimoto, Kohji Tsumura, Kohji Wills, Ryan Zemcov, Michael California Institute of Technology 1200 E California Blvd 91125 United States Berkeley Center for Cosmological Physics University of California BerkeleyCA94720 United States Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Physics & Astronomy University of California Irvine IrvineCA92697 United States School of Science and Technology Kwansei Gakuin University Hyogo Sanda669-1337 Japan Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive PasadenaCA91109 United States Department of Solar System Sciences Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo-ku Kanagawa Sagamihara252-5210 Japan Department of Natural Sciences Faculty of Science and Engineering Tokyo City University Tokyo158-8557 Japan Center for Detectors School of Physics and Astronomy Rochester Institute of Technology 1 Lomb Memorial Drive RochesterNY14623 United States

We present new anisotropy measurements in the near-infrared (NIR) for angular multipoles 300 5 using imaging data at 1.1 µm and 1.8 µm from the fourth flight of the Cosmic Infrared Background ExpeRiment (CIBER). Using improved analysis methods and higher quality fourth flight data, we detect surface brightness fluctuations on scales 5′, the CIBER auto- and cross-power spectra exceed predictions for integrated galactic light (IGL) and integrated stellar light (ISL) by over an order of magnitude, and are inconsistent with our baseline IGL+ISL+DGL model at high significance. We cross-correlate two of the CIBER fields with 3.6 µm and 4.5 µm mosaics from the Spitzer Deep Wide-Field Survey and find similar evidence for departures from Poisson noise in Spitzer-internal power spectra and CIBER × Spitzer cross-power spectra. A multi-wavelength analysis indicates that the auto-power of the fluctuations at low- is bluer than the Poisson noise from IGL and ISL;however, for 1′ ′, the cross-correlation coefficient r of nearly all band combinations decreases with increasing θ, disfavoring astrophysical explanations that invoke a single correlated sky component. © 2025, CC BY.

关键词： Infrared devices

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Functional neural network for decision processing, a racing network of programmable neurons with fuzzy logic where the target operating model relies on the network itself

arXiv

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arXiv 2021年

In this paper, we are introducing a novel model of artificial intelligence, the functional neural network for modeling of human decision-making processes. This neural network is composed of multiple artificial neurons racing in the network. Each of these neurons has a similar structure programmed independently by the users and composed of an intention wheel, a motor core and a sensory core representing the user itself and racing at a specific velocity. The mathematics of the neuron’s formulation and the racing mechanism of multiple nodes in the network will be discussed, and the group decision process with fuzzy logic and the transformation of these conceptual methods into practical methods of simulation and in operations will be developed. Eventually, we will describe some possible future research directions in the fields of finance, education and medicine including the opportunity to design an intelligent learning agent with application in business operations supervision. We believe that this functional neural network has a promising potential to transform the way we can compute decision-making and lead to a new generation of neuromorphic chips for seamless human-machine interactions. © 2021, CC BY-NC-SA.

关键词： Neurons

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Method Comparison for Simulating Non-Gaussian Beams and Diffraction for Precision Interferometry

SSRN

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SSRN 2023年

作者： Zhao, Mengyuan Tao, Yazheng Weber, Kevin Haase, Tim Schuster, Sönke Hao, Zhenxiang Wanner, Gudrun Key Laboratory of Electronics and Information Technology for Space System National Space Science Center Chinese Academy of Sciences No.1 Nanertiao Zhongguancun Haidian district Beijing100190 China Yuquan Road Shijingshan District Beijing100049 China Callinstr. 38 Hannover30167 Germany Institute for Gravitational Physics the Leibniz Universität Hannover Callinstr. 38 Hannover30167 Germany Institute of Theoretical Physics Chinese Academy of Sciences No.55 Zhongguancun East Road Haidian District Beijing100190 China

In the context of simulating precision laser interferometers, we compare via several examples two wavefront decomposition methods: the Mode Expansion Method (MEM) and the Gaussian beam decomposition (GBD) for their precision and applicability. To judge the performance of these methods, we define different types of errors and study their properties. We specify how the two methods can be fairly compared and based on that, the quality of the MEM and GBD are compared in several examples. We test here cases for which analytic results are available, i.e., non-clipped circular and general astigmatic Gaussian beams, as well as clipped circular Gaussian beams, in the near-, far-, and extreme far-field of millions of kilometers occurring in space-gravitational wave detectors. Additionally, we compare the methods for aberrated wavefronts and the interaction with optical components by testing reflections from differently curved mirrors. We find that both methods can be generally used for decomposing non-Gaussian beams. However, which method is more accurate depends on the optical system and simulation settings. In the given examples, the MEM more accurately describes non-clipped Gaussian beams, while for clipped Gaussian beams and the interaction with surfaces, the GBD is more precise. © 2023, The Authors. All rights reserved.

关键词： Diffraction

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An acceleration technique for method of characteristics based on preconditioning method and CUDA technique 27

An acceleration technique for method of characteristics base...

引用

27th International Conference on Nuclear Engineering: Nuclear Power Saves the World!, ICONE 2019

作者： Zheng, Yong Peng, Minjun Ping, A.N. Wei, L.U. Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu Sichuan China Fundamental Science on Nuclear Safety and Simulation Technology Laboratory Harbin Engineering University Harbin Heilongjiang China

ISBN: (纸本)9784888983051

The method of characteristics (MOC) with matrix form has more favorable performance compared with its standard application. And the linear algebraic solver affects heavily the computation efficiency. As a Krylov subspace technique, the preconditioned generalized minimal residual algorithm (PGMRES) was proposed to solve the resulting linear system in previous work. To accelerate the iteration process further, the current study utilizes the GPU-based compute unified device architecture(CUDA) technique to program the massively parallel PGMRES. The sparse matrix vector multiplication(SpMV), the most time-consuming operation, was optimized using the coherent visiting and shared memory, which improves the parallel computing performance significantly. Based on the analysis of the numerical feature of the coefficient matrix, two parallel optimization strategies are proposed to deal with the first part of the matrix equation, and the different schemes are utilized to the different parts of the matrix based on the size of row vector, which are expected to improve the throughput of the SpMV operation. The benchmark problem HTTR(i.e. 2D high temperature engineering test reactor benchmark problem) has been simulated to verify the parallel code and evaluate the acceleration performance, and the numerical results demonstrate that the parallel strategies are efficient for the HTTR problem, and the speedup can achieve more than 5.5 times with the optimal strategy. © 2018-2019 by JSME

关键词： Linear systems

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