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IEEE-Power-and-Energy-Society General Meeting (PESGM)

作者： Liu, Yu Tan, Zhenyu Xie, Jiahao Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology School of Electronic Science & Applied Physics Hefei University of Technology Hefei Anhui China

ISBN: (纸本)9781538677032

Accurate fault locating reduces power outage time and operational costs. In this paper, a novel phasor domain transmission line fault locating algorithm is proposed. Best implementation requires GPS synchronized measurements at both terminals of the line. First, the model of the transmission line with fault is constructed using three phase distributed parameter modeling with neutral conductors and grounding representation. The model is without the assumption that the transmission line is geometrically balanced. Next, the state estimation algorithm is utilized to solve the model of the transmission line with fault, where the fault location is included as a state. Numerical experiments demonstrate that the method has higher accuracy than traditional fault locating methods, independent of fault types, locations and impedances.

关键词： Three Phase Distributed Parameter Modeling State Estimation (SE) Fault Locating

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Two methods of determining target orientation by robot visual principle

Two methods of determining target orientation by robot visua...

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作者： Liu, Gang School of Mechanical Engineering Tianjin University of Technology Tianjin Key Laboratory of Advanced Mechanical and Electrical System Design and Intelligent Control Tianjin300384 China

ISBN: (纸本)9781538636749

By analyzing the imaging principle of the fish-eye lens in the robot vision, two methods of determination of the target orientation based on the fish-eye lens are summarized. One method uses the distortion correction to determine the target orientation, and the other uses the relationship between the target in the actual orientation and its correspondence in the imaging coordinates to determine the target orientation, both methods all use image processing technology, fast and efficiently determine the orientation of the target in the fish eye image. In this paper, the theoretical basis and experimental process of the two methods are introduced respectively. By comparing the data after the experiment, the more accurate method is analyzed and applied to the target azimuth determination of the fish-eye lens. © 2017 IEEE.

关键词： Fish-eye lens Image processing Robot vision Target orientation

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Resolving the Origins of Superior Cycling Performance of Antimony Anode in Sodium-ion Batteries: A Comparison with Lithium-ion Batteries

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Angewandte Chemie 2024年第11期136卷

作者： Ruiwen Shao Zhefei Sun Lei Wang Jianhai Pan Luocai Yi Yinggan Zhang Jiajia Han Zhenpeng Yao Jie Li Zhenhai Wen Shuangqiang Chen Shu-Lei Chou Dong-Liang Peng Qiaobao Zhang Beijing Advanced Innovation Center for Intelligent Robots and Systems School of Medical Technology Beijing Institute of Technology Beijing China State Key Laboratory of Physical Chemistry of Solid Surfaces College of Materials Xiamen University Xiamen Fujian 361005 China Institute for Carbon Neutralization College of Chemistry and Materials Engineering Wenzhou University Wenzhou 325035 China Department of Chemical Engineering School of Environmental and Chemical Engineering Shanghai University Shangda Road 99 Shanghai 200444 China CAS Key Laboratory of Design and Assembly of Functional Nanostructures and Fujian Provincial Key Laboratory of Materials and Techniques toward Hydrogen Energy Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Fuzhou Fujian 350002 China Center of Hydrogen Science Shanghai Jiao Tong University Shanghai China State Key Laboratory of Metal Matrix Composites School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai China Department of Energy Politecnico di Milano Via Lambruschini 4 20156 Milano Italy

Alloying-type antimony (Sb) with high theoretical capacity is a promising anode candidate for both lithium-ion batteries (LIBs) and sodium-ion batteries (SIBs). Given the larger radius of Na + (1.02 Å) than Li + (0.76 Å), it was generally believed that the Sb anode would experience even worse capacity degradation in SIBs due to more substantial volumetric variations during cycling when compared to LIBs. However, the Sb anode in SIBs unexpectedly exhibited both better electrochemical and structural stability than in LIBs, and the mechanistic reasons that underlie this performance discrepancy remain undiscovered. Here, using substantial in situ transmission electron microscopy, X-ray diffraction, and Raman techniques complemented by theoretical simulations, we explicitly reveal that compared to the lithiation/delithiation process, sodiation/desodiation process of Sb anode displays a previously unexplored two-stage alloying/dealloying mechanism with polycrystalline and amorphous phases as the intermediates featuring improved resilience to mechanical damage, contributing to superior cycling stability in SIBs. Additionally, the better mechanical properties and weaker atomic interaction of Na−Sb alloys than Li−Sb alloys favor enabling mitigated mechanical stress, accounting for enhanced structural stability as unveiled by theoretical simulations. Our finding delineates the mechanistic origins of enhanced cycling stability of Sb anode in SIBs with potential implications for other large-volume-change electrode materials.

关键词： Antimony anode Lithium-ion batteries Sodium-ion batteries In situ transmission electron microscopy Electrochemical performance

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Advances in information processing and biological imaging using flat optics

Nature Reviews Electrical Engineering

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Nature Reviews Electrical Engineering 2024年 391-411页

作者： Xinwei Wang Huijie Hao Jian Liu Jiubin Tan Haoyu Li Xumin Ding Xiaoyuan He Peng Xie Guangwei Hu Hao Wang Patrice Genevet Yu Luo Advanced Microscopy and Instrumentation Research Center School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin China Key Lab of Ultra-Precision Intelligent Instrumentation Harbin Institute of Technology Ministry of Industry and Information Technology Harbin China Center of Ultra-Precision Optoelectronic Instrument Engineering Harbin Institute of Technology Harbin China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Engineering Product Development Singapore University of Technology and Design Singapore Singapore Physics Department Colorado School of Mines Golden CO USA National Key Laboratory of Microwave Photonics Nanjing University of Aeronautics and Astronautics Nanjing China

Flat optical components (metasurfaces) made from artificial electromagnetic materials (metamaterials) have opened new possibilities for the manipulation of electromagnetic waves within compact multifunctional devices. This field encompasses the development of individual optical elements and their integration into systems for use in real-world applications, especially in optical information processing, light detection and ranging (LiDAR), augmented or virtual reality, and biological imaging. This comprehensive Review highlights advances in the use of flat optics in analog computational information processing and imaging applications and emphasizes their fundamental role in transfer function engineering. The natural synergy between flat optics and computational technologies is described in relation to advanced imaging and microscopy solutions that have the potential for simultaneous information acquisition and processing. An outlook on future developments, including critical insights for both newcomers and experts in this field, is also provided.

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Term Translation Extraction from Historical Classics Using Modern Chinese Explanation

Term Translation Extraction from Historical Classics Using M...

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第十七届全国计算语言学学术会议暨第六届基于自然标注大数据的自然语言处理国际学术研讨会(CCL 2018)

作者： Xiaoting Wu Hanyu Zhao Chao Che Dalian University Key Laboratory of Advanced Design and Intelligent ComputingMinistry of EducationDalian116622China

ISBN: (纸本)9783030017156

Extracting term translation pairs is of great help for Chinese histori-cal classics translation since term translation is the most time-consuming and challenging part in the translation of historical ***,it is tough to recognize the terms directly from ancient Chinese due to the flexible syntactic of ancient Chinese and the word segmentation errors of ancient Chinese will lead to more errors in term translation *** most of the terms in ancient Chinese are still reserved in modern Chinese and the terms in modern Chinese are more easily to be identified,we propose a term translation extract-ing method using multi-features based on character-based model to extract his-torical term translation pairs from modern Chinese-English corpora instead of ancient Chinese-English ***,we first employ character-based BiLSTM-CRF model to identify historical terms in modern Chinese without word segmentation,which avoids word segmentation error spreading to the term *** we extract English terms according to initial capitaliza-tion *** last,we align the English and Chinese terms based on co-occurrence frequency and transliteration *** experiment on Shiji demonstrates that the performance of the proposed method is far superior to the traditional method,which confirms the effectiveness of using modern Chinese as a substitute.

关键词： BiLSTM-CRF Co-occurrence frequency Transliteration features Term translation extraction

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How to write high-quality news on social network? Predicting news quality by mining writing style

arXiv

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arXiv 2019年

作者： Yang, Yuting Cao, Juan Lu, Mingyan Li, Jintao Lin, Chia-Wen Key Laboratory of Intelligent Information Processing Center for Advanced Computing Research Institute of Computing Technology CAS Beijing China University of Chinese Academy of Sciences Beijing China Department of Electrical Engineering National Tsing Hua University Taiwan

Rapid development of Internet technologies promotes traditional newspapers to report news on social networks. However, people on social networks may have different needs which naturally arises the question: whether can we analyze the influence of writing style on news quality automatically and assist writers in improving news quality? It's challenging due to writing style and 'quality' are hard to measure. First, we use 'popularity' as the measure of 'quality'. It is natural on social networks but brings new problems: popularity are also influenced by event and publisher. So we design two methods to alleviate their influence. Then, we proposed eight types of linguistic features (53 features in all) according eight writing guidelines and analyze their relationship with news quality. The experimental results show these linguistic features influence greatly on news quality. Based on it, we design a news quality assessment model on social network (SNQAM). SNQAM performs excellently on predicting quality, presenting interpretable quality score and giving accessible suggestions on how to improve it according to writing guidelines we referred to. Copyright © 2019, The Authors. All rights reserved.

关键词： Linguistics

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Tool Path Generation Method for Three-dimensional Vibration-assisted Machining 16

Tool Path Generation Method for Three-dimensional Vibration-...

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16th IEEE International Conference on Mechatronics and Automation, ICMA 2019

作者： Wang, Guilian Lv, Bingrui Liu, Bin Mu, Haozhi Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China Tianjin Laboratory of Control Theory and Applications in Complicated System Tianjin300384 China School of Electrical and Electronic Engineering Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9781728116983

In this paper, a new tool path generation method is proposed for the 3D (three-dimensional) vibration-assisted 6-DOF (six degree of freedom) machine tool machining system. The tool feed path is generated by the tangent point method and the coordinate transformation theory. It is worth noting that this method needle is only used when the tool and workpiece surface topography can be mathematically described. Finally, a numeric simulation method is used to simulate the tool path which is required when machining workpiece surfaces with different topography tools. The results show that the tool path generation method is widely applicable to tools and workpieces of various shapes, and it is of great significance to reveal the influences of different tool shapes on the tool path. © 2019 IEEE.

关键词： Machine tools

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A novel method to increase energy density of permanent magnet machine based on multi-physical field analysis

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UPB Scientific Bulletin, Series D: Mechanical Engineering 2020年第4期82卷 79-92页

作者： Zheng, Qingchun Zhao, Yangyang Zhu, Peihao Wang, Sen Liu, Jingna Ma, Wenpeng Li, Xiang Xiao, Yinhong Wang, Naixin Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China School of Computer Science Tianjin University of Technology Tianjin300384 China School of Automation Shenyang Institute of Engineering Shenyang110136 China Baoding Power Supply Company Hebei Electric Power Company State Grid Corporation of China Baoding071000 China

As an important component of all-electric aircraft, the main propulsion machine is developing towards high energy density, high efficiency and high fault tolerance. In order to improve the energy density of main propulsion machine for all-electric aircraft, a novel approach, which can be used for excellent performance improvement of electric machine of all-electric aircraft, is reported in this paper. The analytical formula of energy density is put forward and the design method of high energy density permanent magnet machine is presented. A high energy density machine with rated power of 30kW is designed, and the electromagnetic field simulation analysis, strength and stress structure verification, temperature field simulation analysis and multi-physical field coupling analysis are obtained. A prototype is developed, the experiment platform is established, and experiments are performed. The energy density of main propulsion machine designed is up to 21kW·N·m/kg2, and the index is increased by 3.2 times. The optimal method based on the multi-physical field analysis can be also applied to other high energy density machines. © 2020, Politechnica University of Bucharest. All rights reserved.

关键词： Electromagnetic fields

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A Segmentation Method of Lung Parenchyma From Chest CT Images Based on Dual U-Net

A Segmentation Method of Lung Parenchyma From Chest CT Image...

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IEEE International Conference on Bioinformatics and Biomedicine

作者： Wenjun Tan Jinzhu Yang Yao Liu Xiaoxia Yin Huangying Liu Yanchun Zhang Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Northeastern University Cyberspace Institute of Advanced Technology Guangzhou University Centre for Applied Informatics College of Engineering and Science Victoria University

ISBN: (纸本)9781728118680

Segmentation of lung parenchyma as a pretreatment step for the detection of some lung lesions requires high accuracy to provide more reliable information for lesion detection. In this paper, we proposed a segmentation method of lung parenchyma from chest CT Images by Dual U-Net algorithm based on the characteristics of different lung region. Firstly, the original lung region is extracted from the full chest CT images of patient by an automatic threshold selection method. Then, the images of the different regions of lung is obtained by calculating the area. Finally, the Dual U-Net is trained according the different lung regions. The first U-Net algorithm operates these middle chest images and other images are operated by the second U-Net algorithm to reduce the interference of other images. The experimental results shown that the segmenting results of lung parenchyma by this method are more accurate than the results by single U-Net and U-Net++ algorithm.

关键词： Lung parenchyma segmentation U-Net chest CT images Lung Tissue Chest imaging chest ct images Lung Dual lung lesion

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Constructing DNA Barcode Sets Based on Particle Swarm Optimization

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IEEE/ACM transactions on computational biology and bioinformatics 2018年第3期15卷 999-1002页

作者： Bin Wang Xuedong Zheng Shihua Zhou Changjun Zhou Xiaopeng Wei Qiang Zhang Ziqi Wei the Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian China Department of Computing Science University of Alberta Edmonton AB Canada

Following the completion of the human genome project, a large amount of high-throughput bio-data was generated. To analyze these data, massively parallel sequencing, namely next-generation sequencing, was rapidly developed. DNA barcodes are used to identify the ownership between sequences and samples when they are attached at the beginning or end of sequencing reads. Constructing DNA barcode sets provides the candidate DNA barcodes for this application. To increase the accuracy of DNA barcode sets, a particle swarm optimization (PSO) algorithm has been modified and used to construct the DNA barcode sets in this paper. Compared with the extant results, some lower bounds of DNA barcode sets are improved. The results show that the proposed algorithm is effective in constructing DNA barcode sets.

关键词： Bioinformatics DNA Particle Swarm Optimisation Particle Swarm Optimization Next Generation Sequencing DNA Barcode Sets DNA Sequential Analysis Algorithm design And Analysis Next Generation Networking Particle Swarm Optimization Hamming Distance Filtering Algorithms DNA Barcodes Edit Distance Particle Swarm Optimization PSO Lower Bound

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