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Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007

作者： Karwatka, Jacek Real Time Software Engineering Command and Control Systems Department P.I.T. Telecommunications Research Institute ul. Poligonowa 30 04-051 Warszawa

ISBN: (纸本)9780819471246

In the work is presented the concept of a precision matrix being the reverse of a covariance matrix and presented modifications of Kalman filter equations enabling the use of measurements, for which the distribution of error is described by the singular precision matrix. Such a situation occurs, when the number of degrees of freedom of measuring result is less than dimensional space, in which the measurement is made. The precision matrix easily enables the description of this type of measurement, in addition estimators' formulae using the precision matrix are much more simple.

关键词： Precision engineering

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Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative control 1

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丛书名： Lecture Notes in Electrical engineering

1000年

作者： Qing Wang Xiwang Dong Peng Song

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A Novel Subcharacter-enhanced Hybrid Network for Chinese Text Classification

A Novel Subcharacter-enhanced Hybrid Network for Chinese Tex...

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Frontiers of Robotics and Software engineering (FRSE), International Conference on

作者： Lei Chen Yang Wang Yun Fei Zheng Zhen Yang Tieyong Cao Institute of Command-and-Control Engineering The Army Engineering University of PLA Nanjing China The Army Artillery and Denfense Academy of PLA Institute of Command-and-Control Engineering The Army Engineering University of PLA Nanjing China

Chinese text classification aimed to set pre-defined labels to given documents, and it is a very important research field. To deal with this problem, a novel subcharacter-enhanced hybrid network model called SHN is proposed. The proposed SHN can hierarchically extract the text semantic features. Firstly, our model decomposes Chinese words by Cangjie-code into subcharacters. Secondly, both word embeddings and subcharacters n-grams vectors are used as the input part of SHN, which is aimed to fuse both internal structure information and semantic information. Thirdly, SHN makes use of a bidirectional GRU module that contains word-level attention, to obtains semantic information from the sentences in document. Finally, a dynamic convolution neural network module is used by SHN, which aimed to extract high level features. Experiments carried out on two datasets show that SHN can obtain better results than conventional methods and is effective.

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engineering the all-weather antenna tuning unit for NDGPS applications

Engineering the all-weather antenna tuning unit for NDGPS ap...

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18th International Technical Meeting of the Satellite Division of The institute of Navigation, ION GNSS 2005

作者： Treib, Chris A. Gingras, Paul K. Parsons, Michael W. Wolfe, David B. United States Coast Guard Command and Control Engineering Center USCG Command and Control Engineering Center Portsmouth VA C2CEN US Coast Guard's Primary Engineering Facility for Land-based Navigation Systems for Maritime Differential GPS Technical Committee 80 Working Group 4A for GNSS and DGNSS Receiver Standards Radio Navigation Committee Institute of Navigation Council

The U. S. Coast Guard is part of the Department of Transportation (DOT)) team to expand the maritime Differential Global Positioning System (DGPS) service into a national transportation safety system. The U. S. Coast Guard's role is to implement a Nationwide DGPS (NDGPS) expansion effort to more than double the existing number of broadcast sites. The NDGPS system is designed to meet all surface transportation navigation requirements in the United States and will provide double terrestrial DGPS coverage across the continental United States. The USCG uses 285-325 kHz (Medium Frequency) to broadcast corrections which provide signal for up to 250 nautical miles. Unfortunately, this frequency range typically requires 340-foot towers for short monopole (tenth of a wavelength) implementation typically discussed in textbooks. Because of the unusually long wavelength, several years of consulting, modeling, and testing were required before fully understanding how to meet system requirements given the severe constraints imposed by practical implementation. The electrically short antennae places increased pressure and complexity for the Antenna Tuning Unit (ATU) to maintain a 50 + 0j Ohm load for all weather conditions. Legacy equipment lacks the sophistication to maintain a 50 Ohm, low VSWR condition, resulting in transmitter mismatches, amplifier failures, extended off-air periods, excessive technician call outs and exhausted sparing and depot maintenance. An all weather ATU presents itself as a tool to significantly improve system availability. The desire to develop, build, and field an all weather ATU started with a carefully laid out plan to incorporate the engineering process with the required contracting process to serve as a vehicle to evaluate emerging technology fairly while providing options for design improvement, quality control, and efficient production and fielding. Results are presented from C2CEN baseline testing to prototype evaluation for seven DGPS sites for

关键词： Receiving antennas

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TOPSIS based Earth Station Marking Method

TOPSIS based Earth Station Marking Method

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第30届中国控制与决策会议

作者： Yuan Weiwei Liu Richu Zhang Yanqing Sun Yanbin Jiang Li Cui Lianxin Army Engineering University of PLA Institute of Command and Control Engineering Beijing Institute of remote sensing information

Earth stations(ES) play a vitally important role in satellite communication systems(SCS), and the evaluation of earth stations is in deadly need with the rapid development of SCS application market, but only a few researches have been done on it. In this paper, an earth station marking scheme based on TOPSIS, which is one of the most popular MCDM method, is proposed. By this scheme, the marking result is rational, comprehensive, interpretable and comparable. To take both people's preferences on criteria and objectivity of the result into account, pairwise comparison matrix method is used to calculate weights of criteria. Instead of constructing ideal solution from extreme criteria values of alternatives, fixed positive and negative ideal solutions(FPIS and FNIS) are proposed to avoid rank reversal and keep the result consistent.

关键词： Multi-Criteria Decision-Making(MCDM) Technique for order preference by similarity to ideal solutions (TOPSIS) Satellite Communication System(SCS) Earth Station(ES)

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Adversarial Examples Generation Through Attacking the 1 × 1 Convolution Operator

Adversarial Examples Generation Through Attacking the 1 × 1...

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2022 International Conference on Blockchain Technology and Information Security, ICBCTIS 2022

作者： Wang, Yang Cao, Tieyong Yang, Jibin Zheng, Yunfei Fang, Zheng Yang, Zhen Institute of Command-and-Control Engineering Army Engineering University of Pla Jiangsu Nanjing China The Army Artillery and Defense Academy of Pla Jiangsu Nanjing China The Key Laboratory of Polarization Imaging Detection Technology Anhui Hefei China

ISBN: (数字)9781665496919

ISBN: (纸本)9781665496919

Convolution neural networks (CNN) are vulnerable to adversarial attack, which brings security risks to the application of convolutional neural networks in reality. Adversarial attacks are usually done by adding subtle perturbations in images to fool models to output wrong results. In black-box conditions, the transferability of attack method is mostly focused to fool more model. To enhance the transferability of adversarial attack, we proposed an attack method against the commonly used 1× 1 convolution operator (1ConvA, 1× 1 Convolution Attack), which exists in many convolutional networks for improving the complexity of the model and the gradient flow. Experiments on many CNNs demonstrate 1ConvA can generate adversarial examples with better transferability. © 2022 IEEE.

关键词： Convolution

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Multi-agent Reinforcement Learning Algorithm Based on Role Parameter Sharing 1

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Zhang, Hui Xu, Chi Zhang, Ting-Ting Zhang, Ya School of Automation Southeast University Nanjing210096 China High-Tech Department Jiangsu Automation Research Institute Lianyungang222061 China School of Command and Control Engineering Army Engineering University Jiangsu Nanjing210017 China

ISBN: (数字)9789819733361

ISBN: (纸本)9789819733354

In multi-agent reinforcement learning, scalability is a significant challenge. Applying reinforcement learning algorithms in large-scale multi-agent systems requires consideration of algorithm efficiency. This paper attempts to reduce network parameter quantity and training time from the perspective of parameter sharing. However, parameter sharing may also bring some disadvantages, such as policy similarity, which may limit the formation of cooperative policies and affect the efficiency of the entire system. To address the problems caused by parameter sharing, this paper proposes a multi-agent reinforcement learning algorithm with role parameter sharing (R-PS). By dynamically dividing roles and selecting objects for parameter sharing, R-PS automatically identifies intelligent agents that may generate beneficial parameter sharing and conducts partial parameter sharing within the roles. Meanwhile, intrinsic rewards are introduced to increase the diversity of agent strategies. Experimental results show that R-PS can effectively divide roles, benefit from partial parameter sharing, and form diverse policies through intrinsic rewards. It also reduces training time, produces excellent performance and collaboration. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Reinforcement learning

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ZIKA virus isolated from mosquitoes:a field and laboratory investigation in China,2016

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Science China(Life Sciences) 2017年第12期60卷 1364-1371页

作者： Shihong Fu Song Song Hong Liu Yuanyuan Li Xiaolong Li Xiaoyan Gao Ziqian Xu Guoping Liu Dingming Wang Zhenzao Tian Jingzhu Zhou Ying He Wenwen Lei Huanyu Wang Bin Wang Xiaoqing Lu Guodong Liang State Key Laboratory of Infectious Disease Prevention and Control National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and PreventionBeijing 102206China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases Hangzhou 310058China Qingdao University Qingdao 266071China Shandong Provincial Research Center for Bioinformatic Engineering and Technique School of Life SciencesShandong University of TechnologyZibo 255049China National Institute of Parasitic Diseases Chinese Center for Disease Control and PreventionKey Laboratory of Parasite and Vector BiologyMinistry of HealthWHO Collaborating Centre for Tropical DieasesShanghai 200025China Center for Disease Control and Prevention of Shenyang Command Shenyang 110034China Guizhou Province Center for Disease Control and Prevention Guiyang 550004China

A field investigation of arboviruses was conducted in Dejiang, Guizhou Province in the summer of 2016. A total of 8,795 mosquitoes, belonging to four species of three genera, and 1,300 midges were collected. The mosquito samples were identified on site according to their morphology, and the pooled samples were ground and centrifuged in the laboratory. The supernatant was incubated with mosquito tissue culture cells(C6/36) and mammalian cells(BHK-21) for virus isolation. The results indicated that 40%(3,540/8,795) were Anopheles sinensis, 30%(2,700/8,795) were Culex pipiens quinquefasciatus, and 29%(2,530/8,795)were Armigeres subbalbeatus. Furthermore, a total of eight virus isolates were obtained, and genome sequencing revealed two Zika viruses(ZIKVs) isolated from Culex pipiens quinquefasciatus and Armigeres subbalbeatus, respectively; three Japanese encephalitis viruses(JEVs) isolated from Culex pipiens quinquefasciatus; two Banna viruses(BAVs) isolated from Culex pipiens quinquefasciatus and Anopheles sinensis, respectively; and one densovirus(DNV) isolated from Culex pipiens *** ZIKVs isolated from the Culex pipiens quinquefasciatus and Armigeres subbalbeatus mosquitoes represent the first ZIKV isolates in China's Mainland. This discovery presents new challenges for the prevention and control of ZIKV in China, and prompts international cooperation on this global issue.

关键词： arbovirus surveillance mosquito-borne arbovirus Japanese encephalitis virus Zika virus

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Impact of Quantum Capacitance on Transmission Characteristics of Carbon Nanotubes Filled Shielded Through-Silicon Vias

Impact of Quantum Capacitance on Transmission Characteristic...

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2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018

作者： Su, Jinrong Yao, Chunhui Chen, Xue Zhang, Wenmei Dept. Electric and Information Engineering Shanxi University Taiyuan Shanxi030006 China Command and Control Division North Automatic Control Technology Institute Taiyuan030006 China College of Physics and Electronics Shanxi University Taiyuan Shanxi030006 China

ISBN: (纸本)9781538612415

Shielded through-silicon vias (S-TSV) filled with multi-walled carbon nanotubes (MWCNT) in the via and the shielded layer, and benzocyclobutene or silicon in the insulation layer is presented in this paper. Then, the equivalent transmission line models of the two S-TSVs are established. Based on the model, the forward transmission coefficient and attenuation constant are calculated and the impact of quantum capacitance Cq of MWCNT on the transmission performance of S-TSVs is analyzed. The results indicate that the performance of S-TSVs with Si insulation layer in 0-100 GHz can be significantly improved by Cq. Also, the performance of S-TSV filled with BCB above 40 GHz can be improved. In addition, the temperature effect of silicon can be balanced by Cq. As a result, the heat stability of S-TSV with silicon insulation layer is improved. © 2018 IEEE.

关键词： Silicon

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Low Dimensional Representation of Space Structure and Clustering of Categorical Data

Low Dimensional Representation of Space Structure and Cluste...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Jianjun Cao Qibin Zheng Nianfeng Weng Xingchun Diao The 63rd Institute National University of Defense Technology Nanjing China Institute of Command and Control Engineering Army Engineering University of PLA Nanjing China Institute of Command and Control Engineering National University of Defense Technology Nanjing China

ISBN: (纸本)9781728111421;9781728111414

Dissimilarity measurement plays a key role in clustering analysis. Due to the lack of order relation between categorical values, the clustering of categorical data is harder than that of numerical data. To improve the clustering quality of categorical data, SBC (space structure based clustering) algorithm proposed a novel representation scheme for the space structures of them. The representation scheme improved the discriminability of categorical data, while caused problems either: low-efficiency and high-dimensionality. In this work, we prove that it is possible to represent categorical data with the space structure more efficiently while maintaining the same clustering performance. To achieve that, a fraction of representative objects is selected as the reference set, with which a low-dimensional space structure matrix would be built. Since the reference set directly affect the dissimilarity measure, a cluster-based method is proposed to get better reference set. The theoretical and experimental proofs show that, compared with SBC method, the proposed methods are more efficient and extendable maintaining the approximately same clustering performance.

关键词： Clustering algorithms command and control systems Extraterrestrial measurements Aerospace electronics Distributed databases Programmable logic arrays Dimensionality reduction

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