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检索条件"机构=Science and Technology on Complex Electronic System Simulation Laboratory"

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PARDA: A dataset for scholarly PDF document metadata extraction evaluation 14th

PARDA: A dataset for scholarly PDF document metadata extract...

引用

14th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2018

作者： Fan, Tiantian Liu, Junming Qiu, Yeliang Jiang, Congfeng Zhang, Jilin Zhang, Wei Wan, Jian School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou310018 China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou310023 China

ISBN: (纸本)9783030129804

Metadata extraction from scholarly PDF documents is the fundamental work of publishing, archiving, digital library construction, bibliometrics, and scientific competitiveness analysis and evaluations. However, different scholarly PDF documents have different layout and document elements, which make it impossible to compare different extract approaches since testers use different source of test documents even if the documents are from the same journal or conference. Therefore, standard datasets based performance evaluation of various extraction approaches can setup a fair and reproducible comparison. In this paper we present a dataset, namely, PARDA(Pdf Analysis and Recognition DAtaset), for performance evaluation and analysis of scholarly documents, especially on metadata extraction, such as title, authors, affiliation, author-affiliation-email matching, year, date, etc. The dataset covers computer science, physics, life science, management, mathematics, and humanities from various publishers including ACM, IEEE, Springer, Elsevier, arXiv, etc. And each document has distinct layouts and appearance in terms of formatting of metadata. We also construct the ground truth metadata in Dublin Core XML format and BibTex format file associated this dataset. © 2019, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Metadata

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An evaluation method for network communication syst em efficiency based on multi-source information fusion

An evaluation method for network communication syst em effic...

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第37届中国控制会议

作者： Cao Yuan Wang Yue-ping Tang Xue-mei Zhao Xiao-fang Science and Technology on Complex Land Systems Simulation Laboratory Beijing Institute of Spacecraft System Engineering

The number of experimental data obtained under different conditions is large, and there are some differences in the distribution characteristics of samples. If a large number of different types of data are mixed and the network communication Effectiveness evaluation is carried out, the characteristics of some samples may be drowned out, on the other hand, the information of many experimental samples is not fully utilized. In order to solve this problem, this paper proposes a method of network communication effectiveness evaluation based on multi-source information fusion. This method firstly analyzes the communication success rate of the cell communication node by longitudinal fusion of experimental information. Based on this, the confidence degree is used to construct the weighting coefficient, and the whole communication success rate of the network information system is evaluated by the experiment information of multiple nodes. Thus, the comprehensive evaluation of the communication efficiency of the unit node and the network Information system is realized.

关键词： multi-source information network communication effectiveness evaluation communication success rate

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A study on finite false target jamming for radar track generation

A study on finite false target jamming for radar track gener...

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2023 International Conference on electronic Information Engineering and Data Processing, EIEDP 2023

作者： Wang, Yanqi Wang, Chao Shi, Qingzhan Huang, Jingjian Yuan, Naichang College of Electronic Science and Technology National University of Defense Technology Changsha410073 China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781510666160

To solve the problem that radar can still generate effective tracks to the covered target under the existing false target jamming technology, a method of jamming radar target track generation using finite false target signals is proposed through the plot and track correlation process of the radar in the initial stage of target searching and tracking. Through electronic reconnaissance, interception, and retransmission of radar signals by a jammer, a finite number of false target signals with random movement characteristics are generated around the covered target, interfering with track correlation during target data processing by radar. simulation examples demonstrate the effectiveness of the proposed method. © 2023 SPIE.

关键词： Data handling

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An anti-jamming method based on joint spatial-polarimetric processing for FDA-MIMO Radar 4

An anti-jamming method based on joint spatial-polarimetric p...

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4th International Conference on Signal Image Processing and Communication, ICSIPC 2024

作者： Zhang, Yunhui Pang, Bo Dai, Dahai Tan, Zhengkuan College of Electronic Science and Technology National University of Defense Technology Changsha410073 China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781510682467

With the continuous development of radar jamming methods and styles, radar systems are facing more and more complex electromagnetic environment, resulting in limited suppression performance through spatial anti-jamming measures solely. In order to solve the problem, this paper proposes an anti-jamming method based on joint spatial-polarimetric processing for Frequency Diverse Array Multiple-Input Multiple-Output (FDA-MIMO) system. Firstly, the signal model of Polarimetric FDA-MIMO (PFDA-MIMO) is established. Based on this model, a joint spatial-polarimetric adaptive filtering method is proposed and experiments are carried out to demonstrate the advantages of joint spatial-polarimetric processing in anti-jamming. Compared to the filtering method that only utilizing the spatial information, this method has a better performance dealing with multidimensional jamming and improves the ability of FDA-MIMO in resisting main lobe jamming. © 2024 SPIE.

关键词： Adaptive filtering

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A Rapid Evaluation Method of Radar Tracking Accuracy 20

A Rapid Evaluation Method of Radar Tracking Accuracy

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Proceedings of the 2020 4th International Conference on electronic Information technology and Computer Engineering

作者： Zhongwen Zhao Xu Zhang Guodong Li Science and Technology on Complex Electronics System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781450387811

In order to solve the problem that the accuracy evaluation method based on error grouping is complex and can only be applied to post-processing, a fast judgment analysis method of radar tracking accuracy is proposed. This method decouples the two main processes of accuracy evaluation, namely error estimation and error statistics, and achieves fast analysis of radar tracking accuracy through real-time estimation of local accuracy and fast statistics of average accuracy of whole track. At the same time, this method avoids the discrimination of abnormal errors by applying robust median and median absolute difference estimation, further simplifies the error estimation process, so that it is more suitable for real-time data analysis.

关键词： Accuracy Evaluation Error Grouping Radar Robust Rapid Evaluation

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An improved particle swarm optimization with feasibility-based rules for constrained optimization problems

An improved particle swarm optimization with feasibility-bas...

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22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent systems, IEA/AIE 2009

作者： Sun, Chao-Li Zeng, Jian-Chao Pan, Jeng-Shyang Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi 030024 China Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung 807 Taiwan

ISBN: (纸本)3642025676

This paper presents an improved particle swarm optimization (IPSO) to solve constrained optimization problems, which handles constraints based on certain feasibility-based rules. A turbulence operator is incorporated into IPSO algorithm to overcome the premature convergence. At the same time, a set called FPS is proposed to save those P best locating in the feasible region. Different from the standard PSO, g best in IPSO is chosen from the FPS instead of the swarm. Furthermore, the mutation operation is applied to the P best with the maximal constraint violation value in the swarm, which can guide particles to close the feasible region quickly. The performance of IPSO algorithm is tested on a well-known benchmark suite and the experimental results show that the proposed approach is highly competitive, effective and efficient. © 2009 Springer Berlin Heidelberg.

关键词： Particle swarm optimization (PSO)

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A modified snr estimation algorithm based on singular value decomposition

A modified snr estimation algorithm based on singular value ...

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2014 International Conference on Information and Communications Technologies, ICT 2014

作者： Wu, Tao Zheng, Haixin Yan, Di Liu, Shaolin Science and Technology on Complex Electronic System Simulation Laboratory Academy of Equipment Beijing China Department of Optical and Electrical Equipment Academy of Equipment Beijing China Company of Postgraduate Management Academy of Equipment Beijing China School of Information and Communication Enginneering Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781849198431

When the traditional SNR estimation algorithm based on singular value decomposition (SVD) is applied to the digital data analysis of spaceflight TT&C system, problem of large deviation arises. This paper analyzes the limitations of SVD, and proposes a modified singular value decomposition (MSVD) SNR estimation algorithm. Before estimating SNR by use of SVD, MSVD does some processing to whiten noise, such as band-pass, down-sampling, and up-sampling. The simulation results show that this algorithm can, within a large range, accurately estimate the actually received SNR, effectively improving the application scope of traditional algorithms.

关键词： Singular value decomposition

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MilChat: A Large Language Model and Application for Military Equipment

MilChat: A Large Language Model and Application for Military...

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Machine Learning and Natural Language Processing (MLNLP), International Conference on

作者： Liu Xue Liu Jie Zhu Peipei Xiang Tao National Key Laboratory of Complex Aviation System Simulation Southwest China Institute of Electronic Technology Chengdu China

ISBN: (数字)9798350354973

ISBN: (纸本)9798350354980

To offer the military personnel a good service of assisting them to get information about enemy's equipment outside Internet, we build a system named MilChat which includes a large language model that has the ability to generate texts and an application which is easy to use. The model of MilChat is fine-tuned by the method of LoRA with military datasets from the basic model, Qwen-7B-Chat which is opensource and has good performance. After fine-tuning, the new model has higher scores than the basic one. Besides, we use the method of Prompt Learning to limit the answers into a standard format. Therefore, it is more accurate and professional than the basic model. This study has also a value of industrial application.

关键词： Accuracy Large language models Machine learning Natural language processing Libraries Internet Personnel Standards Military equipment

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Energy aware edge computing: a survey 2nd

Energy aware edge computing: a survey

引用

2nd International Workshop on High Performance Computing for Advanced Modeling and simulation in Nuclear Energy and Environmental science, HPCMS 2018, and 1st International Workshop on HPC Supported Data Analytics for Edge Computing, HiDEC 2018 held at the 32nd ACM International Conference on Supercomputing, ACM ICS 2018

作者： Fan, Tiantian Qiu, Yeliang Jiang, Congfeng Wan, Jian Key Laboratory of Complex Systems Modeling and Simulation Hangzhou Dianzi University Hangzhou310018 China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou310023 China

ISBN: (纸本)9789813299863

Edge computing is an emerging paradigm to meet the ever-increasing computation demands from pervasive devices such as sensors, actuators, and smart things. Though the edge devices can execute complex applications, it is necessary for some applications to migrate to centralized servers. By offloading the computation from the edge nodes to the edge servers or cloud servers, the quality of computation experience could be greatly improved. However, it may cause delay and increase network overheads, and energy consumption eventually. Therefore, an optimal offloading strategy should take into account what task should be offloaded, when to offload and where to offload to avoid the overheads. Thus, it is important to tradeoff between energy consumption, computation delay and throughput when the system makes the computation offloading to achieve high energy efficiency. In this paper, we conduct a survey of energy aware edge computing, including the existing work on computation offloading frameworks and strategies in edge computing. Specifically, we describe the strategies from the perspective of energy aware offloading, energy optimization offloading and offloading algorithms. © Springer Nature Singapore Pte Ltd 2019.

关键词： Energy efficiency

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An edge computing platform for intelligent internet data center operational monitoring 2nd

An edge computing platform for intelligent internet data cen...

引用

作者： Qiu, Yeliang Jiang, Congfeng Fan, Tiantian Wan, Jian Key Laboratory of Complex Systems Modeling and Simulation Hangzhou Dianzi University Hangzhou310018 China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou310023 China

ISBN: (纸本)9789813299863

The explosive growth in cloud-based services, big data analytics, and artificial intelligence related services provisioning leads to the rapid growth of construction of large scale Internet data centers (IDCs). Modern IDCs are equipped with various sensors to monitor its healthy operation and maintenance states, such as temperature, thermal distribution, air flow, etc. However, fine-grained, single-node level and even mainboard level monitoring including server resource consumption and power consumption is still needed for more progressive resource multiplexing and job scheduling in IDCs. In this paper, we propose an edge computing platform for intelligent Internet data center operational monitoring, which integrates wireless sensors and on-board built-in sensors to sense and collect the data of data center operation and maintenance. The edge computing based solution reduces the latency for data transportation to central clouds and reduces the amount of data and enhances the real time resource capping decisions in data centers. © Springer Nature Singapore Pte Ltd 2019.

关键词： Energy efficiency

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