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International Conference on computer and Communications (ICCC)

作者： Junjie Xue Junhua Zhou Guoqiang Shi Yanhong Jiang Shuying Xu Hongyan Quan State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing China School of Software Engineering East China Normal University Shanghai China School of Computer Science and Technology East China Normal University Shanghai China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

With the development of integrated design and manufacturing technology, it is necessary to consider how to integrate a variety of modeling tools in the procedure of complex product design driven by the model-centric conception. In this work, we explored the development technology of multi-tool integration based on the Open Model Based Engineering Environment (OpenMBEE). We provide a multi-tool integration system solution, in which the integration schemes under different environments of LAN and virtual machine are designed, and the system scheme of multi-tool integration is also studied. From the idea of model design conception, we integrate the requirement analysis tools Cameo. On the basis, Model Management System (MMS) and View Editor(VE), as well as the specific model analysis tool MATLAB and 3D visual simulation tool Creo are also integrated seamlessly. The effectiveness of the proposed integration strategies is verified by some practical instances. That is verified that our study can provide an effective design idea for complex production.

关键词： Analytical models Solid modeling Computational modeling Tools Product design Mathematical model Matlab

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Recent Advances in Triboelectric Nanogenerators: From Technological Progress to Commercial applications

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ACS Nano 2023年第12期17卷 11087-11219页

作者： Choi, Dongwhi Lee, Younghoon Lin, Zong-Hong Cho, Sumin Kim, Miso Ao, Chi Kit Soh, Siowling Sohn, Changwan Jeong, Chang Kyu Lee, Jeongwan Lee, Minbaek Lee, Seungah Ryu, Jungho Parashar, Parag Cho, Yujang Ahn, Jaewan Kim, Il-Doo Jiang, Feng Lee, Pooi See Khandelwal, Gaurav Kim, Sang-Jae Kim, Hyun Soo Song, Hyun-Cheol Kim, Minje Nah, Junghyo Kim, Wook Menge, Habtamu Gebeyehu Park, Yong Tae Xu, Wei Hao, Jianhua Park, Hyosik Lee, Ju-Hyuck Lee, Dong-Min Kim, Sang-Woo Park, Ji Young Zhang, Haixia Zi, Yunlong Guo, Ru Cheng, Jia Yang, Ze Xie, Yannan Lee, Sangmin Chung, Jihoon Oh, Il-Kwon Kim, Ji-Seok Cheng, Tinghai Gao, Qi Cheng, Gang Gu, Guangqin Shim, Minseob Jung, Jeehoon Yun, Changwoo Zhang, Chi Liu, Guoxu Chen, Yufeng Kim, Suhan Chen, Xiangyu Hu, Jun Pu, Xiong Guo, Zi Hao Wang, Xudong Chen, Jun Xiao, Xiao Xie, Xing Jarin, Mourin Zhang, Hulin Lai, Ying-Chih He, Tianyiyi Kim, Hakjeong Park, Inkyu Ahn, Junseong Huynh, Nghia Dinh Yang, Ya Wang, Zhong Lin Baik, Jeong Min Choi, Dukhyun Kyung Hee University Gyeonggi Yongin17104 Korea Republic of Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Department of Mechanical Engineering Soft Robotics Research Center Seoul National University Seoul08826 Korea Republic of Department of Mechanical Engineering Gachon University Seongnam13120 Korea Republic of Department of Biomedical Engineering National Taiwan University Taipei10617 Taiwan Frontier Research Center on Fundamental and Applied Sciences of Matters National Tsing Hua University Hsinchu30013 Taiwan School of Advanced Materials Science & Engineering Sungkyunkwan University Suwon16419 Korea Republic of Sungkyunkwan University 2066 Seobu-ro Gyeonggi Suwon16419 Korea Republic of Department of Chemical and Biomolecular Engineering National University of Singapore 4 Engineering Drive 4 117585 Singapore Division of Advanced Materials Engineering Jeonbuk National University 567 Baekje-daero Jeonbuk Jeonju54896 Korea Republic of Jeonbuk National University 567 Baekje-daero Jeonbuk Jeonju54896 Korea Republic of Department of Physics Inha University 100 Inha-ro Incheon22212 Korea Republic of School of Materials Science & Engineering Yeungnam University Gyeongbuk Gyeongsan38541 Korea Republic of 291 Daehak-ro Daejeon34141 Korea Republic of School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue 639798 Singapore Institute of Flexible Electronics Technology of Tsinghua Zhejiang Jiaxing314000 China Nanomaterials and System Lab Major of Mechatronics Engineering Faculty of Applied Energy System Jeju National University Jeju632-43 Korea Republic of School of Engineering University of Glasgow GlasgowG128QQ United Kingdom Seoul02792 Korea Republic of Department of Physics Inha University Incheon22212 Korea Republic of Suwon16419 Korea Republic of Department of

Serious climate changes and energy-related environmental problems are currently critical issues in the world. In order to reduce carbon emissions and save our environment, renewable energy harvesting technologies will serve as a key solution in the near future. Among them, triboelectric nanogenerators (TENGs), which is one of the most promising mechanical energy harvesters by means of contact electrification phenomenon, are explosively developing due to abundant wasting mechanical energy sources and a number of superior advantages in a wide availability and selection of materials, relatively simple device configurations, and low-cost processing. Significant experimental and theoretical efforts have been achieved toward understanding fundamental behaviors and a wide range of demonstrations since its report in 2012. As a result, considerable technological advancement has been exhibited and it advances the timeline of achievement in the proposed roadmap. Now, the technology has reached the stage of prototype development with verification of performance beyond the lab scale environment toward its commercialization. In this review, distinguished authors in the world worked together to summarize the state of the art in theory, materials, devices, systems, circuits, and applications in TENG fields. The great research achievements of researchers in this field around the world over the past decade are expected to play a major role in coming to fruition of unexpectedly accelerated technological advances over the next decade. © 2023 The Authors. Published by American Chemical Society

关键词： Nanogenerators

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Climatic and Biotic Controls of Evapotranspiration Across Grassland Ecosystems on Tibetan Plateau

SSRN

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SSRN 2024年

作者： Peng, Siyuan Yang, Yue Luo, Dengnan Zeng, Xiang Liang, Minqi Tao, Long Zhang, Guangru Li, Pan Liao, Weijie Guo, Qun Cao, Ruochen Li, Yuzhe Zhang, Weirong Hu, Zhongmin School of Geography South China Normal University Shipai Campus Guangzhou510631 China Hainan Baoting Tropical Rainforest Ecosystem Observation and Research Station Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation School of Ecology and Environment Hainan University Haikou570228 China Center for Eco-Environment Restoration Engineering of Hainan Province Hainan University Haikou570228 China Facility of Geographical Science Beijing Normal University Beijing100875 China Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Zhuhai519087 China School of Atmospheric Sciences Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle Sun Yat-sen University Guangdong Zhuhai510245 China Key Lab of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing101408 China International Institute for Earth System Sciences Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing University Jiangsu210023 China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean Science Nanjing University Jiangsu210023 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China

Understanding the spatial variations of evapotranspiration (ET) and its components on Tibetan Plateau (TP) is pivotal for grasping the regional water cycle and energy balance dynamics. Yet it is unclear how the changes of the intricate synergy among diverse environment factors significantly impacts the patterns of ET and its transformation state. Addressing this gap, this study employed observational data from 14 sites, utilizing the Shuttleworth-Wallace-Hu (SWH) model to investigate the spatial relationships between ET, its components, and influencing factors. Model parameters of SWH were optimized by Monte Carlo method, achieving a commendable simulation performance with a mean R2 value of 0.75. Our analysis reveals that in alpine meadow, the ratio of transpiration (T) to ET (T/ET) is generally higher (0.55) compared to alpine steppe (0.39). The T/ET values for hover around or below 0.5, indicating a balanced contribution of various ET components. Spatially, both PPT and LAI have an impact on ET and T/ET. PPT emerges as the primary driver of interannual spatial variations in ET, while LAI plays a crucial role in regulating T/ET. Our results further demonstrate that a transition from water-dominated to energy-dominated systems in TP grassland ecosystem at an approximately aridity index of 0.73. This is noteworthy considering the general application of an aridity index of 0.65 to delineate arid from humid regions. It implies that TP grasslands, within the 0.65-0.73 range, remain primarily water-driven. This insight holds substantial implications for comprehending water-energy dynamics in similar ecosystems, challenging the conventional binary categorization of arid and humid areas. Such findings are of immense significance in enhancing understanding of the intricate interactions of the water cycle between land and the atmosphere. © 2024, The Authors. All rights reserved.

关键词： Water supply

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Data Layout Transformation for Stencil Computations Using ARM NEON Extension

Data Layout Transformation for Stencil Computations Using AR...

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IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Kaifang Zhang Huayou Su Peng Zhang Yong Dou College of Computer National University of Defense Technology Changsha China CAEP Software Center for High Performance Numerical Simulation Beijing China Institute of Applied Physics and Computational Mathematics Beijing China

ISBN: (纸本)9781728176505

In this paper, we consider utilizing NEON Extension for Stencil Computation on ARM processors. It has always been a common topic for stencil computation optimizations, and much work has been conducted. Data-level parallelism is the basis of these optimizations, and lots have been done on the mainstream production processors from vendors such as Intel. The paper focuses on optimizing stencil computations on ARM processors supporting NEON SIMD extension. Specifically, we proposed a data layout transformation approach to address the stream alignment conflict when using NEON ISA on ARM processors. By modeling the overheads of transformation and computation we can evaluate the benefits gained from the approach precisely. Combining the fine-grained instruction arrangement and NEON intrinsic, better floating-point performance can be obtained than automatic vectorization with the compiler. We evaluate the efficiency of the approach with a series of stencil computations on an ARM processor. Results show that when using the NEON Extension with transformation, an average of 1.51× speedup and a maximum of 2.83× speedup can be obtained compared to the automatic vectorization method.

关键词： Neon Program processors High performance computing Conferences Computational modeling Layout Production

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A parallel recurrent neural network for language modeling with POS tags 31

A parallel recurrent neural network for language modeling wi...

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31st Pacific Asia Conference on Language, Information and Computation, PACLIC 2017

作者： Su, Chao Huang, Heyan Shi, Shumin Guo, Yuhang Wu, Hao School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing100081 China Beijing Advanced Innovation Center for Imaging Technology Capital Normal University Beijing100048 China

Language models have been used in many natural language processing applications. In recent years, the recurrent neural network based language models have defeated the conventional n-gram based techniques. However, it is difficult for neural network architectures to use linguistic annotations. We try to incorporate part-of-speech features in recurrent neural network language model, and use them to predict the next word. Specifically, we proposed a parallel structure which contains two recurrent neural networks, one for word sequence modeling and another for part-of-speech sequence modeling. The state of part-of-speech network helped improve the word sequence's prediction. Experiments show that the proposed method performs better than the traditional recurrent network on perplexity and is better at reranking machine translation outputs. Copyright © 2017 Chao Su, Heyan Huang, Shumin Shi, Yuhang Guo and Hao Wu

关键词： Recurrent neural networks

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Research on stage creative scene model generation based on series key algorithms 2nd

Research on stage creative scene model generation based on s...

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2nd International Conference on Smart Vehicular technology, Transportation, Communication and applications, VTCA 2018

作者： Zhang, Fuquan Ding, Gangyi Ma, Linjuan Zhu, Yumeng Li, Zuoyong Xu, Lin Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China Digital Performance and Simulation Technology Laboratory School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Key Laboratory of Nondestructive Testing Fuqing Branch of Fujian Normal University Fuzhou350300 China

ISBN: (纸本)9783030045845

This paper proposes a method to construct a stage scene systematically. We propose how to build key algorithms for each element of the stage based on this method. The scene generation model is constructed to generate the creative stage scene we need based on the combination of these algorithms. We will start with 3D model adversarial generation, style migration generation, scene construction layout, scheme evaluation and scheme selection and so on. Then we will elaborate GANs algorithm, style transfer network, spatial combination and other algorithms. © Springer Nature Switzerland AG 2019.

关键词： 3D modeling

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Joint Power and Feedback Design for Multi-Antenna NOMA Systems with Limited Feedback

Joint Power and Feedback Design for Multi-Antenna NOMA Syste...

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IEEE International Conference on Communications (ICC)

作者： Zhiyao Tang Liang Sun Yong Feng Lu Cao Shutong Qi School of Electronic and Information Engineering International Research Institute for Multidisciplinary Science Beihang University Beijing China Laboratory of Computer Technology Applications Kunming University of Science and Technology Kunming China

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

This paper proposes a multiple-antenna non-orthogonal multiple access scheme including channel state information (CSI) quantization and feedback, user clustering, signal superposition coding, transmit beamforming, and successive interference cancellation at receivers under a general limited CSI feedback framework for frequency duplex division systems. Given a combination of system parameters, we conduct a mathematically strict performance analysis of the considered system, and obtain a closed-form lower bound on the ergodic rate of each user without assuming any extreme for system parameters, which has never been obtained before. Then, we jointly optimize two key parameters, i.e., transmit power and the number of feedback bits allocated to each user, and propose low-complexity closed-form solutions. Finally, numerical results are presented to verify our theoretical results and to illustrate the advantages in accuracy and performance over some existing related results under practical conditions.

关键词： NOMA Fading channels Resource management Silicon carbide Bit rate Performance analysis Quantization (signal)

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Integrated carbon and nitrogen management for cost-effective environmental policies in China

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Science 2025年第6751期388卷 1098-1103页

作者： Xin Xu Xiuming Zhang Yiyang Zou Tianrun Chen Jingfang Zhan Luxi Cheng Wilfried Winiwarter Shaohui Zhang Peter M. Vitousek Wim de Vries Baojing Gu State Key Laboratory of Soil Pollution Control and Safety Zhejiang University Hangzhou China. College of Environmental and Resource Sciences Zhejiang University Hangzhou China. International Institute for Applied Systems Analysis Laxenburg Austria. Ministry of Education Key Laboratory of Environment Remediation and Ecological Health Zhejiang University Hangzhou China. College of Computer Science and Technology Zhejiang University Hangzhou China. Policy Simulation Laboratory Zhejiang University Hangzhou China. Institute of Environmental Engineering University of Zielona Góra Zielona Góra Poland. School of Economics and Management Beihang University Beijing China. Department of Earth System Science Stanford University Stanford CA USA. Wageningen University and Research Earth Systems and Global Change Group Wageningen Netherlands. Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment Zhejiang University Hangzhou China.

Carbon and nitrogen are central elements in global biogeochemical cycles. To effectively manage carbon and nitrogen in China, we developed a comprehensive model for quantifying their fluxes, investigating their interplay across 16 human and natural subsystems. Between 1980 and 2020, nitrogen losses in China increased 2.3-fold and carbon emissions surged 6.5-fold. Integrated carbon and nitrogen management holds the potential for a 74% reduction in nitrogen losses to air and water and a 91% decrease in carbon emissions to the atmosphere by 2060. Compared with separate control of carbon or nitrogen, integrated management delivers an additional reduction of 1.8 million tons of nitrogen and 26.5 million tons of carbon by 2060, bringing out a 37% decrease in unit abatement cost and a net societal benefit of 1384 billion USD.

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Method for constructing multi-dimensional feature map of malicious code

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Journal of Physics: Conference Series 2021年第4期1748卷

作者： Haocong Ma Ji Zhang Junhua Zhou Xiang Zhai Junjie Xue Hang Ji State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing 100854 China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing simulation Center Beijing 100854 China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing 100854 China School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

Malicious code is characterized by a large number of types, rapid increase in number, continuous update of transmission routes, and continuous enhancement of back analysis and back detection methods. Therefore, how to effectively detect and analyze malicious code has been a problem of great concern. This paper studies the features of binary file and disassembly file of malicious code, introduces the concept of information gain, and proposes a method to construct the multi-dimensional characteristic graph of malicious code. Finally, the convolutional neural network is used to classify the multi-dimensional feature graph of malicious code, which provides a new idea for the feature extraction of malicious code.

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LSSVM Boiler Main Steam Temperature Anomaly Detection Algorithm Based on Improved SSA

LSSVM Boiler Main Steam Temperature Anomaly Detection Algori...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Lei Liu Tianmu Qin Li Wang Zheng Wu North China Electric Power Research Institute Co. Ltd. Beijing China North China Electric Power Research Institute Co. Ltd. Xi'an Branch Xi'an China School of Control and Computer Engineering North China Electric Power University Beijing China Hebei Technology Innovation Center of Simulation & Optimized Control for Power Generation North China Electric Power University Baoding China

ISBN: (纸本)9781665466097

To address the problem of blindness in parameter selection of LSSVM model, this paper proposes to use the improved sparrow algorithm (CDE-SSA) for parameter search. First, the CDE-SSA algorithm is designed on the basis of the sparrow algorithm, and the chaos theory is integrated into the sparrow algorithm to establish the chaotic sparrow algorithm model for the shortcomings of the poor global search ability and unstable initialized sparrow distribution of the sparrow algorithm. To address the shortcomings of the way of discoverer position update in the algorithm, a new variational operator is used instead of the original one to improve the practicality of the algorithm. In order to balance the global search ability and local search ability in the first and second stages of the algorithm, the cosine factor is introduced to improve the proportional operator in the sparrow algorithm, and the information of the number of iterations is introduced into the iterative process. The performance of CDE-SSA algorithm is compared with PSO algorithm and SSA algorithm by testing functions, and the results show that CDE-SSA algorithm shows better performance in terms of search accuracy and search stability. Meanwhile, the CDE-SSA algorithm is used to optimize the LSSVM parameters and build the KPCA-CDE-SSA-LSSVM anomaly detection model, which is applied to the main steam temperature system anomaly detection scenario, and the detection accuracy reaches 98%, which proves the rationality of the algorithm proposed in this paper.

关键词： Temperature Machine learning algorithms Search problems Stability analysis Classification algorithms Anomaly detection Thermal stability

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