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A Complex Time Management Method Driven by Composite Event in Cloud Simulation Platform

A Complex Time Management Method Driven by Composite Event i...

引用

IEEE International Conference on Electronic Information and Communication technology (ICEICT)

作者： Sule Wang Chilian Chen Tao Zhang Key Laboratory of Technology on Data link China Electronics Technology Group Corporation (CETC) 20th Institute Xi'an China

At present, cloud computing related technologies have developed rapidly. Among them, cloud simulation platforms play a vital role in complex military projects. The complex time management under the cloud simulation platform can ensure the normal operation of the relevant test system, thereby promoting the development and progress of defense-related research. In actual engineering projects, each subsystem in the system adopts different time advancing mechanisms. Based on this, this paper studies the complex time management method driven by compound events under the cloud simulation platform. The research content and results are as follows: Based on the characteristics of physical subsystem and logical subsystem, two advancing mechanisms, real-time advancing and logical time advancing are designed; A complex event-driven complex time management method under the cloud simulation platform is designed; Verify the effectiveness of the compound event-driven complex time management method proposed in this paper under the cloud simulation platform.

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Mining Frequent Closed Itemsets and Generators Over Uncertain data

Mining Frequent Closed Itemsets and Generators Over Uncertai...

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IEEE International Conference on Electronic Information and Communication technology (ICEICT)

作者： Lulu Zhao Chilian Chen Wanyong Tian Key Laboratory of Technology on Data link China Electronics Technology Group Corporation(CETC) 20th Institute Xi'an China

The rapid development of computer technology and the widespread use of Internet products have already led us into the era of big data, and researchers are increasingly focused on developing advanced data mining techniques to extract valuable insights from large datasets. Frequent itemset mining refers to mining the frequently occurring itemsets in data, which is a reliable method to get useful information from a large amount of data and is used on the Internet, finance, medical and other fields. But as a rule, the number of frequent itemsets extracted from data is exponential, which reduces the usefulness of mining results. To achieve the compressed representation of frequent itemsets, researchers have proposed the concept of frequent closed itemsets, which are greatly reduced in number compared to frequent itemsets and retain the integrity of the information contained in frequent itemsets. In this paper, we propose an algorithm for mining closed itemsets and generators in uncertain data, which can be divided into two steps. First, all probabilistic frequent itemsets are mined, and then, based on the probabilistic frequent itemsets, the closed itemsets and generators among them are identified. And the closed itemsets and generators are associated based on the concept of equivalence classes. The algorithm is proved to be correct and efficient after evaluation on several datasets.

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Information value measurement distribution model based on improved information entropy 4

Information value measurement distribution model based on im...

引用

4th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2021

作者： Chen, Liang Chen, Chilian Zhao, Lulu Key Laboratory of Technology on Data link China Electronics Technology Group Corporation 20th Institute Xi’an China

ISBN: (纸本)9781665432030

in order to meet the needs of modern war for high-quality situation information, this paper first proposes a battlefield situation information value measurement model based on improved information entropy from the perspective of battlefield situation information. According to the situation information index system, the degree of information demand satisfaction, and the principle of minimum error, the information entropy is improved to realize the battlefield situation information value measurement. Then, referring to link16’s distributed route selection algorithm based on R2 reporting responsibility, a message distribution algorithm based on information value is designed to give priority to the transmission of high-value information flow in the network. Finally, the effectiveness of the algorithm is verified by the simulation of typical combat scenarios of close air support, especially in the case of strong confrontation environment. © 2021 IEEE

关键词： Weight measurement Atmospheric modeling Conferences Measurement uncertainty Interference Time measurement Information and communication technology

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Tactical data Chain link Effectiveness Assessment Based on Cloud Theory

Tactical Data Chain Link Effectiveness Assessment Based on C...

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IEEE International Conference on Electronic Information and Communication technology (ICEICT)

作者： Liang Chen FuQiang Li Lulu Zhao Qian Zhang Key Laboratory of Technology on Data link China Electronics Technology Group Corporation 20th Institute Xi'an China Xi'an China

To address the complexity of tactical data chain system effectiveness assessment, a tactical data chain system effectiveness assessment index system is established by drawing on the principles of cloud theory, and a tactical data chain system effectiveness assessment method based on cloud theory is proposed. Based on the description of the hierarchical analysis method and the evaluation steps of cloud theory, the evaluation of the effectiveness of the tactical data chain system is realized by calculating the cloud model of each indicator and the weight of each indicator parameter in combination with a specific example. The example proves that this method can effectively integrate the uncertainty and ambiguity of quantitative and qualitative indicators, is highly operable, and can provide a scientific and objective method for the comprehensive effectiveness assessment of tactical data chain systems based on network information systems.

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NOMA-D2D technology-aided Low delay resource allocation for MEC networks 7

NOMA-D2D Technology-aided Low delay resource allocation for ...

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7th International Conference on Computer and Communications, ICCC 2021

作者： Tao, Huameng Ma, Nan Qin, Xiaoqi Liu, Baoling Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China CETC Key Laboratory of Data Link Technology Xi'an710068 China

ISBN: (纸本)9781665409506

In this paper, we propose a joint communication and computing resource allocation scheme in mobile edge computing (MEC) networks aided by non-orthogonal multiple access (NOMA) device-to-device (D2D) technology, in which users are allowed to offload computing tasks to edge servers or D2D receivers. In this case, our optimization goal is to minimize the system delay under consideration of imperfect channel state information (CSI), which results in a multivariate coupled mixed-fraction non-linear programming problem being formulated. To solve this problem, we firstly decouple it into two sub-phases, namely the communication stage and the computing stage, and derive the closed-form expression of the power allocation coefficients without perfect CSI simultaneously. Then a spectrum resource allocation algorithm based on KM (KM-SRA) and a computing resource allocation algorithm based on maximum gain (MG-CRA) are proposed. Finally, by balancing the transmission delay and the computing delay, we propose an iterative algorithm to optimize the system delay according to KM-SRA and MG-CRA. The simulations illustrate that the proposed scheme can reduce the system delay and degrade communication interruption. © 2021 IEEE.

关键词： Resource allocation

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Image Compression and Meaningful Ciphertext Encryption Based on Histogram Shift Embedding 25th

Image Compression and Meaningful Ciphertext Encryption Base...

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25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022

作者： Tang, Zheng Jing, Shiwei Li, Jianjun Hui, Guobao Tian, Wanyong Key Laboratory of Data Link CETC 21th Institute China Electronics Technology Group Corporation Shanxi XiAn710071 China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China

ISBN: (纸本)9789811995811

In this paper, a meaningful ciphertext compression and encryption method is proposed. Firstly, the image is sparsely transformed based on wavelet transform, scrambled and compressed to get the Gaussian noise-like ciphertext. Then, the distribution of noise-like ciphertext is changed by a histogram shift, and the meaningful ciphertext is obtained by the least significant bit (LSB) XOR. Finally, the ciphertext is modified by 2 K correction, and the ciphertext with better quality is obtained. In order to ensure the plaintext sensitivity and the ability to resist the attack of selecting plain ciphertext, the plaintext of SHA-256 is used to generate dynamic keys so that the whole process can achieve the effect of one-image-one-key. Experimental results show that this meaningful ciphertext encryption method has excellent quality of ciphertext and ensures visual security as well as. At the same time, the algorithm has a good ability to resist conventional attacks and has certain practicability. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cryptography

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Meaningful ciphertext image encryption based on histogram shift and ND-ICM hyperchaos

Meaningful ciphertext image encryption based on histogram sh...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Shiwei Jing Jianjun Li Wanyong Tian School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China The Key Laboratory of Data Link of China Electronics Technology Group Corporation Xi‘An China

A novel method for meaningful ciphertext image encryption is proposed in this paper. The method involves a series of steps, including image compression, histogram shift, and disordered cyclic shift scrambling under M-ary decomposition to generate noise-like ciphertext, followed by generalized least significant bit (GLSB) embedding and correction to produce meaningful ciphertext. In addition, a new N-dimensional infinite collapse discrete chaotic map (ND-ICM) is designed to generate pseudo-random sequences for controlling ciphertext generation. The combination of histogram shift and GLSB embedding significantly improves the quality of the ciphertext, and the ND-ICM is capable of adjusting dimensions as needed, exhibiting good chaotic properties. Experimental results demonstrate that the quality of the ciphertext produced by this algorithm is significantly superior to that of existing visual meaning image encryption algorithms, indicating a broad range of potential applications.

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Dual-level Consistency Learning for Unsupervised Domain Adaptive Night-time Semantic Segmentation

Dual-level Consistency Learning for Unsupervised Domain Adap...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Feifei Ding Jianjun Li Wanyong Tian School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China The Key Laboratory of Data Link of China Electronics Technology Group Corporation Xi‘An China

In autonomous driving, it is crucial to train a segmentation model that can perform well in poor illumination. Due to the lack of pixel-level annotated nighttime images and a large domain discrepancy between day-night image pairs, it could be tough to achieve encouraging performance for the nighttime model. In this paper, we propose a novel Dual-level Consistency Learning (DCL) method which fully utilizes these day-night correspondences across two domains. Specifically, our DCL regularizes the style and semantic difference consistency of day-night images at different feature levels. We conduct style difference consistency at the shallow feature level and facilitate contrastive semantic difference regression consistency at the deep feature level. These designs enable the proposed DCL to acquire pairwise pixel-level pseudo supervision, reducing the dependence on annotated nighttime images. Empirically, we conduct extensive experiments on standard benchmarks such as Dark Zurich and ACDC. The encouraging results show the effectiveness of our DCL method.

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Multi-Agent Confrontation Game Based on Multi-Agent Reinforcement Learning

Multi-Agent Confrontation Game Based on Multi-Agent Reinforc...

引用

2021 IEEE International Conference on Unmanned Systems, ICUS 2021

作者： Han, Shuo Ke, Liangjun Wang, Zhigang School of Automation Science and Engineering Xi'Anjiaotong University The State Key Laboratory for Manufacturing Systems Engineering Xi'an China CETC Key Laboratory of Data Link Technology Xi'an China

ISBN: (纸本)9780738146577

This paper studies the multi-agent confrontation game problem, and takes unmanned aerial vehicle (UAV) offense-defense confrontation as the research object. Deep Deterministic Policy Gradient (DDPG) and Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm are used for policy optimization. The experimental results show that MADDPG can acquire good policy in multi-agent confrontation game environment. In order to make MADDPG suitable for large-scale multi-agent game problems and obtain robust policy, this paper improves MADDPG by introducing Mean Field Theory (MFT) and 'Minimax' idea. The experimental results show that the improved algorithms can deal with large-scale multi-agent game problem and obtain robust policy. © 2021 IEEE.

关键词： Mean field theory

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A High-Isolation Millimeter-Wave Dual-Polarized Antenna for 5G Applications

A High-Isolation Millimeter-Wave Dual-Polarized Antenna for ...

引用

IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： ChengTao Dong ZhiYa Zhang Yu Wang National Key Laboratory of Science and Technology on Antennas and Microwaves Xidian University Xi'an China CETC Key Laboratory of Data Link Technology Xi'an China

This paper proposes a high isolation broadband dual-polarized antenna for mmWave communications. The antenna adopts the multi-layer patch stacking form, which improves the working bandwidth of the antenna. The working bandwidth of the antenna is 23.88~28.15GHz. The miniaturization of the antenna is realized by opening a rectangular slot on the double-layer patch. The proposed antenna achieves a footprint of $5.5\ \mathbf{mm}\times 5.5\ \mathbf{mm}$ , and a total thickness of 1.338mm. The antenna unit adopts T-shaped stripline and L-shaped stripline to couple feed through two H-shaped slots to achieve ±45° polarization, which improves port isolation and antenna cross-polarization ratio. The introduction of 6 short-circuit vias further improves the port isolation and cross-polarization ratio. The port isolation in the entire frequency band is less than −33dB, and the normal cross-polarization ratio is higher than 35dB. The simulation results prove the excellent performance of the antenna unit, which can be widely used in the field of 5G terminal and base station communication.

关键词： Base stations Time-frequency analysis Slot antennas 5G mobile communication Stripline Bandwidth Antenna feeds

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