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MDIot: IoT device identification method based on traffic characteristics 1

19th Chinese Intelligent Systems Conference, CISC 2023

作者： Zheng, Hanxi Liu, Ruijun Yin, Huanpu Li, Haisheng School of Computer and Engineering Beijing Technology and Business University Beijing100048 China Beijing Key Laboratory of Big Data Technology for Food Safety Beijing100048 China

ISBN: (数字)9789819968824

ISBN: (纸本)9789819968817

In recent years, the rapid growth of the Internet of Things (IoT) devices has brought with it security risks, highlighting the need for management for IoT devices. Identification and classification are key components of devices management. However, existing work on IoT device identification is based on prior knowledge to manually extract features, resulting in too many redundant features and reducing devices identification accuracy. In this paper, we propose amodel called MDIoT. Our model use the multi-votingmethod for feature selection, and is combined with Multiobjective Genetic Algorithm to reduce redundancy features and noise. Experimental results show that our feature selection method is more efficient in feature selection and the classification accuracy is over 95%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Internet of things

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Prescribed Performance-Based Finite-Time Neural Adaptive Backstepping Control for the Chaotic PMSM

Prescribed Performance-Based Finite-Time Neural Adaptive Bac...

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2022 International Conference on Mechanical and Electronics engineering, ICMEE 2022

作者： Wu, Fengbin Zhang, Junxing Li, Shaobo Li, Shaoyang Wu, Xiao Wang, Shuai College of Computer Science and Technology Guizhou University State Key Laboratory of Public Big Data Guiyang China School of Mechanical Engineering Guizhou University State Key Laboratory of Public Big Data Guiyang China School of Mechanical Engineering Guizhou University Guiyang China Guizhou University State Key Laboratory of Public Big Data Guiyang China

ISBN: (纸本)9781665492201

This paper presents a prescribed performance-based finite-time neural adaptive backstepping control scheme for the chaotic permanent magnet synchronous motor (PMSM). Specifically, an error transformation coupled with a prescribed performance function is introduced to guarantee that the tracking error keeps within a defined bound. The finite-time stability theory and backstepping framework are further combined to design finite-time adaptive laws and controllers. Then, it is shown that all signals are ultimately bounded in finite time and the tracking error can converge to a defined region in finite time. Finally, simulation results are presented to verify the feasibility of the proposed controller. © 2022 IEEE.

关键词： Backstepping

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Exploiting Multiple Features for Hash Codes Learning with Semantic-Alignment-Promoting Variational Auto-encoder 12th

Exploiting Multiple Features for Hash Codes Learning with Se...

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12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023

作者： Chen, Jiayang Su, Qinliang School of Computer Science and Engineering Sun Yat-Sen University Guangzhou China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Beijing China

ISBN: (纸本)9783031446924

Semantic hashing is an effective technique to empower information retrieval. Currently, considerable efforts have been dedicated to generating high-quality hash codes by modeling document features using generative models and other approaches. However, most of these methods rely solely on a single type of feature, such as TFIDF features, BERT embeddings, etc. As different types of features have distinct but complementary information of documents, e.g. TFIDF mainly contains the keywords information and BERT focuses on the semantics, hash codes generated solely from either may not capture the full essence of the documents. To overcome this challenge, we propose a semantic-alignment-promoting variational auto-encoder to generate hash codes from multiple document features. Specifically, a VAE-based generative model is first developed to model the multiple features. Then, we propose a semantic-alignment-promoting inference network to estimate the parameters of the variational posterior from multiple features. Additionally, the quality of hash codes is further improved by promoting the semantic alignment between the hash codes of connected documents in a constructed connection graph. The results of extensive experiments on three public datasets demonstrate that our proposed model significantly outperforms current state-of-the-art models. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Semantics

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A two-lane lattice hydrodynamic model with mixed traffic of connected and non-connected vehicles 6

A two-lane lattice hydrodynamic model with mixed traffic of ...

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6th International Conference on Traffic engineering and Transportation System, ICTETS 2022

作者： Bai, Yingqiang Zhang, Ying School of Information and Engineering Zhejiang Ocean University Zhoushan316000 China Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province Zhoushan316022 China

ISBN: (纸本)9781510663053

The development of intelligent transportation is of great significance to improving the effectiveness and safety of traffic. A new two-lane lattice hydrodynamics model (LHM) is proposed by simultaneously considering the effects of lane-changing and mixed traffic of connected and non-connected vehicles (CNVs). Using linear analysis, the stability conditions are derived, which indicates that lane-changing has a positive impact on traffic stability. In addition, the numerical simulation results provide support for theoretical analysis and confirm the correctness. © 2023 SPIE.

关键词： Hydrodynamics

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Assessing the Potential Tidal Energy Resources in Coastal Areas of Fujian Province 6

Assessing the Potential Tidal Energy Resources in Coastal Ar...

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6th International Conference on Energy Systems and Electrical Power, ICESEP 2024

作者： Jiala, Erge Wu, Wenting Fuzhou University Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology The Academy of Digital China Fuzhou China

ISBN: (纸本)9798350353563

In the context of increasingly serious depletion and security risks of fossil energy, environmental pollution, and challenges of climate change, tidal range energy, and tidal current energy have attracted considerable attention due to their high predictability, insensitivity to flood and drought periods, and minimal environmental impact. In this study, we aim to assess the status of tidal range energy and tidal current energy in the coastal areas of Fujian Province using a high-resolution tidal dynamic model developed from the state-of-the-art model, Delft3D FM. Our results indicate that tidal range energy resources are concentrated in the coastal port areas north of central Fujian, with the highest tidal range energy potential of 1.18×105 KWh/m2 in Xinghua Bay. Tidal range energy resources are primarily concentrated in the waters of Sansha Bay, Pingtan Island, and Quanzhou Bay. Among them, the potential annual average power in Sansha Bay can reach 2.60×105 kWh/m2, with an estimated exploitable capacity of 67.24MW after the installation of tidal current power stations at the inlet channels. These research findings provide data support for site selection in the development of tidal range energy resources in the offshore waters of Fujian. © 2024 IEEE.

关键词： Delft3D FM High-resolution modelling Potential resources assessment Tidal energy

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Roles of Multisourced Fluids in the Formation of Sandstone-Hosted Uranium Deposits in the SW Songliao Basin, NE china

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Journal of Earth Science 2023年第1期34卷 54-69页

作者： Zhibing Feng Fengjun Nie Li Jiang Fei Xia Jianfang Cai Bocheng Zhang Yayun Lu Liangliang Zhang State Key Laboratory of Nuclear Resources and Environment East China University of TechnologyNanchang330013China Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of TechnologyNanchang330013China Radioactive Geology and Exploration Technology Laboratory East China University of TechnologyNanchang330013China No.243 Geological Party China National Nuclear CorporationChifeng024000China Airborne Survey and Remote Sensing Center of Nuclear Industry China National Nuclear CorporationShijiazhuang050002China

The sandstone-hosted uranium deposits in the SW Songliao Basin differ from typical sandstone-hosted uranium deposits in terms of the geological features of the ore-deposits,including the geometry of the orebodies,mineral assemblage and *** drill core and microscopic observations,scanning electron microscopy(SEM),electron microprobe analysis(EMPA),heavy mineral concentrates,and fluid inclusion studies of the Upper Cretaceous Yaojia Formation,i.e.,the uranium-bearing layer,were integrated to investigate the roles of hydrothermal fluids in the formation of these uranium *** found that the kaolinite alteration is developed in the mineralized zones,but it is less common in the peripheral *** fluid inclusions are hydrothermal fluids with a medium-low temperature(67 to 179 ℃) and a high salinity(5.9 wt.% to 20.1 wt.%).According to the analyses,three kinds of hydrothermal fluids,i.e.,the acid fluid,the groundwater heated by the mafic magma,and the alkaline fluid rich in Ca^(2+) and CO_(3)^(2-),were *** fluids might have low U content,but they have participated in the formation of the uranium deposits *** formed by the acid-hydrothermal fluid absorbed large amounts of ***,the thermal energy from the hydrothermal fluids changed the intrastratal redox environment and increased the solubility of the uranium minerals in the *** alkaline-hydrothermal fluid rich in Ca^(2+) and C0_(3)^(2-) facilitated the formation of stable Ca-U(Ⅵ)-CO_(3) complex,which led to the enrichment of soluble uranium in solution,and final precipitation as pitchblende,brannerite and Ti-bearing uranium minerals in the uranium ores.

关键词： sandstone-hosted uranium deposit hydrothermal fluid uranium mineralization Songliao Basin kaolinite carbonate minerals

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3D Target Detection of Tractor in Agricultural Scene Based on Lidar 8

3D Target Detection of Tractor in Agricultural Scene Based o...

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8th International Conference on Communication, Image and Signal Processing, CCISP 2023

作者： Zhibo, Chen Caicong, Wu Banghao, Lin College of Information and Electrical Engineering China Agricultural University Key Laboratory of Agricultural Machinery Monitoring and Big Data Applications Ministry of Agriculture and Rural Affairs Beijing China

ISBN: (纸本)9798350305838

Real time and accurate detection of agricultural machinery in the working scene is an important basis to improve the safety of agricultural machinery driverless and autonomous operation. This paper presents a 3D target detection method of tractor based on GNSS/INS/Lidar/camera data. Firstly, an on-board data acquisition platform based on multi-source sensors is constructed to obtain the tractor image, point cloud and position and attitude data of the acquisition vehicle in the common working scenes of agricultural machinery (machinery depot, tractor road and farmland), the data are time synchronized and space calibrated. Then, distortion correction of point cloud, the point cloud and image are jointly labelled, and the tractor test data set of images, point cloud and GNSS/IMU information is constructed. 643 frames of machinery depot scene data, 321 frames of tractor track scene data, and 320 frames of farmland scene data are obtained. The number of tractors selected is 6250. Finally, according to the characteristics of tractor driving and operation, the region of interest of tractor target detection is defined, the point cloud within its range is extracted, and the ground point cloud is filtered by RANSAC method. Then the data set is input into PVRCNN++ network for training according to the proportion of 5:1 between training set and test set, and finally the tractor 3D target detection model is obtained. The test results show that the detection accuracy of the model for tractors in machinery depot, tractor road and farmland are 90.21%, 87.59%, and 99.85% respectively, the recall rates are 86.72%, 95.13%, and 98.89% respectively, and the F1 scores are 88.43%, 91.20%, and 99.37% respectively. The model can better adapt to the agricultural scene. © 2023 IEEE.

关键词： Tractors (agricultural)

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Overview of indoor positioning technology 24

Overview of indoor positioning technology

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2024 International Conference on Image Processing, Intelligent Control and Computer engineering, IPICE 2024

作者： Xu, Zeyu Huang, Fenghua The Academy of Digital China Fuzhou University China College of Artificial Intelligence Yango University China Fujian Key Laboratory of Spatial Information Perception and Intelligent Processing Yango University China Fujian University Engineering Research Center of Spatial Data Mining and Application Yango University China

ISBN: (纸本)9798400710285

This paper introduces the classification of indoor positioning technology, and elaborates the principles of three mainstream indoor positioning technologies based on external source, natural source and multi-source fusion and their development respectively. By analyzing the problems of existing indoor positioning technologies, it summarizes the difficulties and future trends of the current development of indoor positioning technologies at home and abroad. The comprehensive study shows that exploring combined positioning techniques and better positioning algorithms, and combining them with machine learning (including deep learning) to further improve indoor positioning accuracy, establishing a standard system and performance evaluation system for indoor positioning techniques, and focusing on user privacy are the main future development directions of indoor positioning techniques. © 2024 Copyright held by the owner/author(s).

关键词： Adversarial machine learning

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System identification with binary-valued observations under both denial-of-service attacks and data tampering attacks:the optimality of attack strategy

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Control Theory and Technology 2022年第1期20卷 127-138页

作者： Jin Guo Xuebin Wang Yanling Zhang Wenchao Xue Yanlong Zhao School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of EducationBeijing100083China Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China

With the development of wireless communication technology,cyber physical systems are applied in various fields such as industrial production and infrastructure,where lots of information exchange brings cyber security threats to the *** the perspective of system identification with binary-valued observations,we study the optimal attack problem when the system is subject to both denial of service attacks and data tampering *** packet loss rate and the data tampering rate caused by the attack is given,and the estimation error is *** the optimal attack strategy to maximize the identification error with the least energy is described as a min–max optimization problem with *** explicit expression of the optimal attack strategy is *** examples are presented to verify the effectiveness of the main conclusions.

关键词： System identification Binary-valued observations Denial-of-service attacks data tampering attacks

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SRv6-INT Enabled Network Monitoring and Measurement: Toward High-Yield Network Observability for Digital Twin 3rd

SRv6-INT Enabled Network Monitoring and Measurement: Toward...

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3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining, MLCCIM 2024

作者： Zhang, Xu Feng, Chuan Han, Pengchao Liu, Wei Gong, Xiaoxue Zhang, Qiupei Guo, Lei School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Institute of Intelligent Communication and Network Security Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing400065 China School of Information Engineering Guangdong University of Technology Guangzhou510006 China

ISBN: (纸本)9789819616978

Network monitoring and measurement is an important part of realizing the network digital twin. However, it introduces the problem of high cost when obtaining the status data of physical networks. Therefore, to efficiently achieve network observability, we first introduce potential techniques and network scenarios for implementing network measurements. Then, a High-Yield Segment Routing over IPv6 based In-band Network Telemetry (HY-SRv6-INT) system is proposed in this paper. In particular, we design the HY-SRv6-INT system architecture. It consists of IPv6 switches implemented by the P4 language and a Software-Defined Networking (SDN) controller containing the HY-SRv6-INT application. Next, we experimentally demonstrate a packet-level path-associated network measurement process. In addition, the performance of the HY-SRv6-INT system is also quantitatively evaluated to verify its advantages. Finally, we discuss some research challenges and open issues for future network telemetry. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Internet protocols

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