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The Existence of a Class of Balanced Multi-output Rotation Symmetric Boolean Functions

Chinese Journal of Electronics 2018年第5期27卷 995-1001页

作者： DU Jiao FU Shaojing QU Longjiang LI Chao PANG Shanqi College of Mathematics and Information Science Henan Normal University Henan Engineering Laboratory for Big Data Statistical Analysis and Optimal Control Henan Normal University College of Computer Science National University of Defense Technology College of Liberal Arts and Science National University of Defense Technology

A new characterization of balanced rotation symmetric（n, m）-functions is presented. Based on the characterization, the nonexistence of balanced rotation symmetric（pr, m）-functions is determined, where p is an odd prime and m ≥ 2. And there exist balanced rotation symmetric（2r, m）-functions for 2 ≤ m ≤ 2r-r. With the help of these results, we also prove that there exist rotation symmetric resilient（2r, m）-functions for 2 ≤ m ≤ 2r-r-1.

关键词： Cryptography Rotation symmetric Orbit matrix Correlation immune Resilient functions

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Prediction of high-speed train delay propagation based on causal text information

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Railway engineering Science 2023年第1期31卷 89-106页

作者： Qianyi Liu Shengjie Wang Zhongcan Li Li Li Jun Zhang Chao Wen National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong UniversityChengdu 610031China China Railway Chengdu Group Co. LtdChengdu 610031China

The delay-causing text data contain valuable information such as the specific reasons for the delay,location and time of the disturbance,which can provide an efficient support for the prediction of train delays and improve the guidance of train control *** on the train operation data and delay-causing data of the Wuhan-Guangzhou high-speed railway,the relevant algorithms in the natural language processing field are used to process the delay-causing text *** also integrates the train operatingenvironment information and delay-causing text information so as to develop a cause-based train delay propagation prediction *** Word2vec model is first used to vectorize the delay-causing text description after word *** mean model or the term frequency-inverse document frequency-weighted model is then used to generate the delay-causing sentence vector based on the original word ***,the train operating-environment features and delay-causing sentence vector are input into the extreme gradient boosting(XGBoost)regression algorithm to develop a delay propagation prediction *** this work,4 text feature processing methods and 8 regression algorithms are *** results demonstrate that the XGBoost regression algorithm has the highest prediction accuracy using the test features processed by the continuous bag of words and the mean *** with the prediction model that only considers the train-operating-environment features,the results show that the prediction accuracy of the model is significantly improved with multi-ple regression algorithms after integrating the delay-causing feature.

关键词： High-speed rail Delay propagation Cause of delay Word2vec Natural language processing

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analysis and modeling for illuminance and signal-to-noise of smart traffic information system

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Journal of engineering and Applied Science 2022年第1期69卷 1-17页

作者： Chen, Yaoting Chen, Huanting School of Business Minnan Normal University Zhangzhou363000 China Analysis and Application for Business Big Data of Fujian Provincial Key Laboratory Zhangzhou363000 China College of Physics and Information Engineering Minnan Normal University Zhangzhou363000 China

The traffic lights using by light emitting diode (LED) are able to indicate and provide the information about the ambient. The signal transimission performance of traffic system is related to a variety of factors such as the signal-to-noise ratio (SNR), illuminance. Several factors are influence on illumiance and SNR, such as eatsink temperature and driver parameters. It has not been any substantial investigate on the operated effects of traffic light with sinusoidal waveform driver on illuminance and SNR. With the use of heatsink temperature and driver parameters of the LED source with sinusoidal waveform driver, prediction modeling for the illuminance and SNR of the mixed white LED sources with heatsink temperature, frequency, amplitude voltage, bias voltage and amplification factors are proposed in this paper to enhance the illuminance and SNR model of LED source inside smart traffic information system. The proposed model should carry out a series of calibration step for illuminance, heatsink temperature and driver parameters, which are easy for traffic designer and source system designers to follow in the traffic information system. The proposed model has been measured for the mixed white LED sources, with reasonably good agreements between theoretical and practical results. © 2022, The Author(s).

关键词： Signal to noise ratio

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A data-driven approach for recommending UI element layout

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Science China(Information Sciences) 2020年第9期63卷 61-63页

作者： Yonghao LONG Xiangping CHEN Yuting XIE School of Information Science and Technology National Engineering Research Center of Digital LifeSun Yat-sen University Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion School of Communication and Design Sun Yat-sen University

Dear editor,Smartphones and tablets with rich graphical user interfaces (GUI) are becoming increasingly popular. GUI design plays an important role in offering a smooth user experience. The complexity of the apps often depends on the user interface (UI)[1]with minor data processing or data processing delegates to the backend component.

关键词： UI development Software mining Layout recommendation data-driven development Intelligent Software Development

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Detection of Densely Aggregated Wheat Rust Spores in Complex Background Microscopic Images 5

Detection of Densely Aggregated Wheat Rust Spores in Complex...

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5th International Conference on Computer Vision, Image and Deep Learning, CVIDL 2024

作者： Lu, Feiran Lei, Yu Liang, Dong Chen, Xu Anhui University National Engineering Research Center for Agro-Ecological Big Data Analysis & Application Hefei China Anhui University School of Internet Hefei China

ISBN: (纸本)9798350373820

To solve the issue of inaccurate detection of summer spores of wheat stripe rust due to complex backgrounds, small targets, and dense adherence among individual spores, an improved model based on YOLOv7 is proposed. This work involves creating a summer spore sample dataset to establish a complex environmental data set for simulated collection. The addition of the CBAM attention mechanism helps elevate the model's precision in detecting spores. Moreover, the ASFF adaptive feature fusion mechanism has been improved to preserve more information of small target features, thus reducing omissions. The introduction of the Wise-IoU loss function enhances the quality of detection anchor boxes and improves the model's localization performance. Trials indicate that the revised model has achieved an mean average precision (mAP) of 98.1% at the IOU threshold of 0.5. Compared to other models, both the average accuracy of detection and the speed of detection have been significantly boosted. The outcomes demonstrate that the enhanced model can accurately and precisely detect wheat stripe rust summer spores. © 2024 IEEE.

关键词： Adaptive feature fusion Attention mechanism Fungal spore recognition Small target detection YOLOv7

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Wind-Bell Index: Towards Ultra-Fast Edge Query for Graph databases 39

Wind-Bell Index: Towards Ultra-Fast Edge Query for Graph Dat...

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39th IEEE International Conference on data engineering, ICDE 2023

作者： Qiu, Rui Ming, Yi Hong, Yisen Li, Haoyu Yang, Tong Peking University School of Computer Science National Engineering Laboratory for Big Data Analysis Technology and Application Beijing China Peking University Academy for Advanced Interdisciplinary Studies China Peng Cheng Laboratory Shenzhen China

ISBN: (纸本)9798350322279

Graphs are good at presenting relational and structural information, making it powerful in the representation of various data. For the efficient storage and processing of graph-like data, graph databases have been rapidly developed and extensively studied. However, graph databases mostly use adjacency lists as their basic data structure (e.g., Neo4j), which could result in poor performance of edge due to the skewed degree distribution of *** design the Wind-Bell Index to address this problem. Wind-Bell Index is a memory-efficient index data structure, which can be attached to existing graph databases to speed up the edge. We have fully implemented our data structure in Neo4j, the most popular graph database today, and conduct theoretical and experimental analysis to evaluate the performance. Theoretical results prove the high query efficiency of our algorithm. And experimental results show that the average edge query speed is increased by hundreds of times compared with the original query interface of Neo4j. We believe that the excellent performance and scalability of Wind-Bell Index make it suitable for the application in a variety of graph databases. © 2023 IEEE.

关键词： Graph databases

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Coordinated Congestion Pricing for Bi-Modal Multi-Region Urban Networks 27

Coordinated Congestion Pricing for Bi-Modal Multi-Region Urb...

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27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024

作者： He, Xiangyu Zhao, Yu Liu, Yafei Sun, Zhanbo School of Transportation and Logistics Southwest Jiaotong University National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu China

ISBN: (纸本)9798331505929

Extensive studies have explored designing pricing schemes for single-mode or homogeneous networks. The development of bi-modal Macroscopic Fundamental Diagrams (3D-MFD) facilitates real-time coordinated control strategies for bi-modal multi-regional urban networks. This research explores the traffic dynamics of mixed networks with urban networks and expressways, proposing two 3D-MFD-based coordinated pricing schemes for bi-modal multi-region urban networks. The first scheme utilizes a Model Predictive Control (MPC) approach to integrating toll rates into the 3D-MFD-based optimization problem. The second scheme applies feedback control theory to simultaneously determine the dynamic price and estimate the value of Time (VOT) and trip length distribution of commuters. The proposed coordinated pricing schemes are further compared with uncoordinated pricing schemes. Numerical examples indicate that coordinated pricing by comprehensively considering the traffic flow and demand across different regions of the urban network achieves more effective congestion alleviation. © 2024 IEEE.

关键词： Predictive control systems

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Dynamic visual simulation of marine vector field based on LIC——a case study of surface wave field in typhoon condition

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Journal of Oceanology and Limnology 2019年第6期37卷 2025-2036页

作者： LIU Zhendong LIU Haixing SU Tianyun JIA Zhen LI Xinfang ZHOU Lin SONG Zhuanling First Institute of Oceanography(FIO) Ministry of Natural Resources(MNR)Qingdao 266061China Laboratory for Regional Oceanography and Numerical Modelling Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Qingdao 266061China

Line integral convolution(LIC)is a useful visualization technique for a vector ***,the output image produced by LIC has many problems in a marine vector *** focus on the visual quality improvement when LIC is applied in the ocean steady and unsteady flow field in the following *** a white noise is used as the input in a steady flow field,interpolation is used to turn the discrete white noise into continuous white noise to solve the problem of ***"cross"high-pass filtering is used to enhance the textures of streamlines to be more concentrated and continuity strengthened for each *** a sparse noise is used as the input in a steady flow field,we change the directions of background sparse noise according to the directions of vector field to make the streamlines clearer and *** addition,we provide a random initial phase for every streamline to avoid the pulsation effect during *** velocities of vector field are encoded in the speed of the same length streamlines so that the running speed of streamlines can express flow ***,to solve the problem of obvious boundaries when stitching image,we change the streamline tracking *** a white noise is used as an input in an unsteady flow field,double value scattering is used to enhance the contrast of streamlines;moreover,the"cross"high-pass filtering is also adopt instead of two-dimensional high-pass ***,we apply the above methods to a case of the surface wave field in typhoon *** experimental results show that applying the methods can generate high-quality wave images and ***,it is helpful to understand and study waves in typhoon condition to avoid the potential harm of the waves to people's lives and property.

关键词： line integral convolution(LIC) wave data visualization steady and unsteady marine flow field

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Jamming-Aided Secure Communication in Ultra-Dense LEO Integrated Satellite-Terrestrial Networks

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China Communications 2023年第7期20卷 43-56页

作者： Yongpeng Shi Jiajia Liu Jiadai Wang Yijie Xun School of Physics and Electronic Information Luoyang Normal CollegeLuoyang 471934China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology School of CybersecurityNorthwestern Polytechnical UniversityXi’an 710072China

The ultra-dense low earth orbit(LEO)integrated satellite-terrestrial networks(UDLEO-ISTN)can bring lots of benefits in terms of wide coverage,high capacity,and strong ***,the broadcasting and open natures of satellite links also reveal many challenges for transmission security protection,especially for eavesdropping *** to efficiently take advantage of the LEO satellite’s density and ensure the secure communication by leveraging physical layer security with the cooperation of jammers deserves further *** our knowledge,using satellites as jammers in UDLEO-ISTN is still a new problem since existing works mainly focused on this issue only from the aspect of terrestrial *** this end,we study in this paper the cooperative secrecy communication problem in UDLEOISTN by utilizing several satellites to send jamming signal to the *** iterative scheme is proposed as our solution to maximize the system secrecy energy efficiency(SEE)via jointly optimizing transmit power allocation and user *** experiment results verify that our designed optimization scheme can significantly enhance the system SEE and achieve the optimal power allocation and user association strategies.

关键词： ultra-dense LEO satellite integrated satellite-terrestrial network physical layer security cooperative jamming

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A Hybrid Intelligent Model SFAHP-ANFIS-PSO for Technical Capability Evaluation of Manufacturing Enterprises 9th

A Hybrid Intelligent Model SFAHP-ANFIS-PSO for Technical Cap...

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19th International Conference on Advanced data Mining and applications, ADMA 2023

作者： Liu, Tingting Ding, Xuefeng Jiang, Yuming Hu, Dasha College of Computer Science Sichuan University Chengdu610065 China Big Data Analysis and Fusion Application Technology Engineering Laboratory of Sichuan Province Chengdu610065 China

ISBN: (纸本)9783031466731

In the collaborative production environment of manufacturing tasks, the evaluation of enterprise technical capability in advance has a direct impact on the high-performance collaboration between the supplier and the demander of production tasks. In order to solve the problem of efficiency and accuracy in the past evaluation methods, this paper applies the adaptive neuro fuzzy inference system (ANFIS) to the field of enterprise technical capability evaluation for the first time, and proposes an improved hybrid intelligent model SFAHP-ANFIS-PSO based on fuzzy theory. The model takes the four key indexes which have the deepest impact on enterprise technical capability evaluation as the input variables of the model, and the input data are evaluated by ANFIS with high accuracy. Spherical fuzzy analytic hierarchy process (SFAHP) calculated the weight of each evaluation index to preprocess the ANFIS model. Particle swarm optimization algorithm (PSO) continuously optimized the model parameters in the training process, shortened the model training time, improved the evaluation efficiency, and further improved the accuracy of the evaluation results. The experimental results show that the SFAHP-ANFIS-PSO model has high convergence speed and accuracy of results, and can be used to evaluate the technical capability of enterprises with high efficiency and high accuracy. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Analytic hierarchy process

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