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

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

ISBN: (数字)9781728190457

ISBN: (纸本)9781728190464

As a key information technique, data link plays an important role in modern information-based warfare. Compared to traditional communication systems, data link has better interoperability and hence could promote the cooperation of all combat units. Interoperability is based on exchanging and utilizing data with the purpose of realizing tactical functions. Modeling and interoperability testing of data link have always been a great challenge. Taking protocol rules and tactical functions as testing objects, data link models are expressed in Discrete Event System (DEVS) Specification in this paper. Simulations show that the proposed methodology could perform typical rule and function test. Besides, it provides good effectiveness and scalability.

关键词： Protocols Semantics Tools data models Interoperability Standards Testing

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Frequent Pattern Mining Based On Occupation and Correlation

Frequent Pattern Mining Based On Occupation and Correlation

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

作者： Kai Zhang Yongping Zhang Zhigang Wang Key Laboratory of Technology on Data link China Electronics Technology Group Corporation (CETC) 20th Institute Xi'an China

ISBN: (数字)9781728190457

ISBN: (纸本)9781728190464

Frequent itemset mining has been extensively studied in data mining for over the last two decade because of its numerous applications. However, the classic support-based mining framework used by most previous studies is not suitable for some real-world application, such as the travel landscapes recommendation, where occupancy besides support also plays a key role in evaluating the interestingness of an itemset. In this paper, we propose a new kind of tasks based on occupancy, namely high correlated occupancy mining, by introducing correlated occupancy into the support-based mining framework. We present the confidence constraint to filter redundant information and show the mining goal of top-k quality pattern combined with occupancy and correlation pattern mining algorithm to ensure the results credible.

关键词： Correlation Itemsets Filtering algorithms Information filters Information and communication technology data mining Task analysis

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data link Modeling and Simulation Based on DEVS 19

Data Link Modeling and Simulation Based on DEVS

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Proceedings of the 2019 2nd International Conference on Signal Processing and Machine Learning

作者： Zhenxing Luo Lulu Zhao Wanyong Tian Dan Yang Yiyuan Chen Jiabin Yu Jianjun Li Science and Technology on Communication Information Security Control Laboratory Jiaxing China CETC Key Laboratory of Data Link Technology Xi'An China Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9781450372213

The Discrete Event System (DEVS)[1] Specification provides a reference standard for the model design and simulation development of complex discrete event state system. It designs a formal mechanism to describe discrete event state, which is composed of a set of strictly abstract mathematical symbols, and provides a strict description mechanism and execution logic for the modeling and Simulation of discrete event state system, it ensures the normalization, reusability and simulation operation ability of the model. As a special link system, data link[2] is different from general communication system. It is mainly used between different military platforms to ensure information sharing. By linking sensors, command and control system and weapon platform according to the specified message format and communication protocol, the information system that can automatically transmit the formatted data of battlefield situation, command and guidance, tactical coordination, weapon control, etc., in real time can form a close and efficient tactical link relationship between different combat platforms. In this paper, DEVS is used to simulate the Reporting Responsibility for Air, Surface, and Land tracks in MIL-STD-6016B.

关键词： DEVS data link ADEVS Modeling and Simulation

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data link modeling and simulation based on DEVS 2

Data link modeling and simulation based on DEVS

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2nd International Conference on Signal Processing and Machine Learning, SPML 2019

作者： Luo, Zhenxing Zhao, Lulu Tian, Wanyong Yang, Dan Chen, Yiyuan Yu, Jiabin Li, Jianjun Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China CETC Key Laboratory of Data Link Technology Xi'An710071 China Hangzhou Dianzi University Hangzhou310018 China

ISBN: (纸本)9781450372213

关键词： Discrete event simulation

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10 GHz Robust polarization modulation towards high-speed satellite-based quantum communication

arXiv

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arXiv 2024年

作者： Wang, Zexu Xu, Huaxing Li, Ju Huang, Jinquan Han, Hui Wang, Changlei Zhang, Ping Yin, Feifei Xu, Kun Liu, Bo Dai, Yitang State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China National Engineering Research Center for Public Safety Risk Perception and Control by Big Data China Academy of Electronics and Information Technology Beijing100041 China CETC Academy of Electronics and Information Technology Group Co. Ltd. Beijing100041 China College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha410073 China School of Electronics and Communication Engineering Sun Yat-sen University Guangdong Shenzhen518107 China College of Computer National University of Defense Technology Changsha4100730 China

In practical satellite-based quantum key distribution (QKD) systems, the preparation and transmission of polarization-encoding photons suffer from complex environmental effects and high channel-loss. Consequently, the hinge to enhancing the secure key rate (SKR) lies in achieving robust, low-error and high-speed polarization modulation. Although the schemes that realize self-compensation exhibit remarkable robustness. Their modulation speed is constrained to approximately 2 GHz to avoid the interaction between the electrical signal and the reverse optical pulses. Here we utilize the non-reciprocity of the lithium niobate modulators and eliminate the modulation on the reverse optical pulses. As this characteristic is widely available in the radio-frequency band, the modulation speed is no longer limited by the self-compensating optics and can be further increased. The measured average intrinsic QBER of the different polarization states at 10 GHz system repetition frequency is as low as 0.53% over 10 min without any compensation. And the experiment simulation shows that the proposed scheme extends the transmission distance to more than 350 km. Our work can be be efficient performed to the high-speed and high-loss satellite-based quantum communication scenario. © 2024, CC BY.

关键词： Quantum communication

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Ship Segmentation on High-Resolution Sar Image by a 3D Dilated Multiscale U-Net

Ship Segmentation on High-Resolution Sar Image by a 3D Dilat...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Jichao Li Chubing Guo Shuiping Gou Yuanbo Chen Miao Wang Jia-Wei Chen Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence Xidian University Xi'an China CETC Key laboratory of Data Link Technology Beijing China Beijing Huahang Radio Measurement and Research Institute Beijing China

ISBN: (数字)9781728163741

ISBN: (纸本)9781728163758

Targets detection and segmentation in a synthetic aperture radar (SAR) image is a vital step for its interpretation. It is quite challenging for most conventional methods due to complex background and the speckle. Furthermore, the sizes of targets in a scene are variable. Inspired by the success of neural networks in computer vision, In this paper, we propose a 3D dilated multi-scale U-shape convolutional neural network (3DDM-UNet). In the proposed method, we first build a 3D image block via a multiscale stationary wavelet transform to exploit the structural information of targets with various sizes. Then, the built 3D image block is fed into a 3D dilated multiscale U-Net. To train the proposed network, we build a dataset from a scene of SAR image with various sizes and shapes of ship targets. Finally, the trained network is employed to the testing set to obtain the segmentation results. Experimental results on test images show that the proposed method achieved better performance than conventional methods.

关键词： Radar polarimetry Three-dimensional displays Image segmentation Kernel Synthetic aperture radar Marine vehicles Object detection

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Optical vortices 30 years on:OAM manipulation from topological charge to multiple singularities

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Light(Science & Applications) 2019年第1期8卷 339-367页

作者： Yijie Shen Xuejiao Wang Zhenwei Xie Changjun Min Xing Fu Qiang Liu Mali Gong Xiaocong Yuan Key Laboratory of Photonic Control Technology(Tsinghua University) Ministry of Education100084 BeijingChina State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentTsinghua University100084 BeijingChina National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data(NELPSRPC) China Academy of Electronics and Information Technology of CETCChina Electronic Technology Group Corporation100041 BeijingChina Nanophotonics Research Center Shenzhen University518060 ShenzhenChina

Thirty years ago,Coullet et *** that a special optical field exists in laser cavities bearing some analogy with the superfluid *** then,optical vortices have been widely studied,inspired by the hydrodynamics sharing similar *** to a fluid vortex with a central flow singularity,an optical vortex beam has a phase singularity with a certain topological charge,giving rise to a hollow intensity *** a beam with helical phase fronts and orbital angular momentum reveals a subtle connection between macroscopic physical optics and microscopic quantum *** amazing properties provide a new understanding of a wide range of optical and physical phenomena,including twisting photons,spin–orbital interactions,Bose-Einstein condensates,etc.,while the associated technologies for manipulating optical vortices have become increasingly tunable and ***,owing to these salient properties and optical manipulation technologies,tunable vortex beams have engendered tremendous advanced applications such as optical tweezers,high-order quantum entanglement,and nonlinear *** article reviews the recent progress in tunable vortex technologies along with their advanced applications.

关键词： tunable optics charge

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Joint Channel Assignment and Power Allocation for NOMA-based D2D Communications with Imperfect CSI

Joint Channel Assignment and Power Allocation for NOMA-based...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Tianqi Xing Nan Ma Ping Zhang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China CETC Key Laboratory of Data Link Technology Xi'an China

In this paper, we propose a channel assignment and power allocation sheme for non-orthogonal multiple access (NOMA) device-to-device (D2D) communications. Our optimization goal is to maximize the sum rate of the D2D system, and considering the fairness factor simultaneously. Importantly, we innovatively consider the impact of imperfect channel state information (CSI) in our system, which makes our proposed algorithm more realistic and effective. We split the problem into two sub-problems: 1) one-to-one matching for the cellular user and D2D transmitter and finding the appropriate receivers for the D2D transmitter to form the D2D group; 2) power allocation for each D2D group. For the channel assignment, we derive a closed form expression of the scheduled data rate of D2D link with considering imperfect CSI by using mathematical approximation methods. And we transform the power allocation subproblem from a non-convex problem to convex one and use the Lagrangian multiplier method to get the optimal power allocation coefficients, considering the sensitivity of the successive interference cancellation (SIC) receiver. Moreover, the theoretical analysis and simulation results are presented to evaluate our proposed scheme for the NOMA-based D2D communications.

关键词： Device-to-device communication Receivers Resource management NOMA Transmitters Interference Channel allocation

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Hyperspectral Target Detection via Multiple Instance LSTM Target Localization Network

Hyperspectral Target Detection via Multiple Instance LSTM Ta...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xiaoying Chen Xiuxiu Wang Chubing Guo Chao Chen Shuiping Gou Tao Yu Changzhe Jiao Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Xidian University Xi'an P. R. China CETC Key laboratory of Data Link Technology Xi'an China IBM Research San Jose CA USA Laboratory of Spectral Imaging Technique Xi'an Institute of Optics and Precision Mechanics Chinese Academy Sciences Xi'an China CAS Key Laboratory of Spectral Imaging Technology Xi'an China

ISBN: (数字)9781728163741

ISBN: (纸本)9781728163758

Modeling target detection problem given inaccurate annotations as a multiple instance learning (MIL) problem is an effective way for addressing the ground truth uncertainties of remotely sensed hyperspectral imagery. In this paper, we propose a hyperspectral target detection method based on 1D convolution neural network (1DCNN) feature extraction and long short term memory network (LSTM) under the MIL framework, where the LSTM features for each hyperspectral pixel is further refined by a scoring network as to discriminate the real target instance from the inaccurately labeled hyperspectral regions. The proposed method has achieved superior results on both simulated data and real hyperspectral data over the state-of-the-art methods, showing the prospects for further investigation.

关键词： Hyperspectral imaging Feature extraction Object detection Training Task analysis Long short term memory Location awareness

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Edge-cloud cooperation driven surface roughness classification method for selective laser melting

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Advanced Engineering Informatics 2025年 66卷

作者： Ma, Shuaiyin Huang, Yuming Liu, Yang Yan, Zhiqiang Lv, Jingxiang Cai, Wei School of Computer Science and Technology Xi'an University of Posts and Telecommunications Xi'an710121 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi'an University of Posts and Telecommunications Xi'an710121 China Xi'an Key Laboratory of Big Data and Intelligent Computing Xi'an710121 China Shaanxi Union Research Centre of University and Enterprise for 5G+ Industrial Internet Communication Terminal Technology Xi'an University of Posts and Telecommunications Xi'an710121 China Department of Management and Engineering Linköping University LinköpingSE-581 83 Sweden Industrial Engineering and Management University of Oulu Oulu90570 Finland Key Laboratory of Road Construction Technology and Equipment of MOE Chang'an University Xi'an710064 China College of Engineering and Technology Southwest University Chongqing400715 China

Additive manufacturing (AM) technology is extensively utilized in aerospace and industrial manufacturing. However, parts built using AM are susceptible to spheroidization, porosity, cracks, and poor surface quality, making it difficult to establish an actionable product quality degree. Hence, developing a reasonable method to equate product quality with a new degree and further analyzing the product quality based on these standards has proven effective for enhancing part quality in AM. To achieve this goal, this paper proposes a surface roughness classification method that utilizes surface roughness analysis and sample enhancement. This method leverages edge cloud cooperation to efficiently analyze and integrate data from different sensors, enabling real-time monitoring and adjustment of the manufacturing process. Subsequently, the quality degree analysis system was developed utilizing matter-element extension cloud model. Furthermore, a bidirectional-gated recurrent unit (Bi-GRU) based model for quality classification and recognition has been established, with Wasserstein generative adversarial network (WGAN) employed for sample enhancement to address the issue of imbalanced column classification and to enhance the accuracy of both classification and recognition. Finally, the results obtained from this case study demonstrate through comparative experiments that the proposed method for classifying surface roughness can accurately identify 98% of prepared samples. © 2025 The Authors

关键词： Inspection

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