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Research on the Application of Drone Remote Sensing and Target Detection in Civilian Fields 5

Research on the Application of Drone Remote Sensing and Targ...

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5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023

作者： Gao, Xiaochen Bai, Xiangyu Zhou, Kexin Key of Wireless Networking and Mobile Computing College of Computer Inner Mongolia University Inner Mongolia Hohhot China

ISBN: (纸本)9798350394160

Unmanned aerial vehicle (UAV) remote sensing has evolved as an efficient means of geospatial data acquisition. This paper provides a comprehensive review of the key technologies enabling intelligent analysis of UAV remote sensing images, specifically payload technology and object detection algorithms. Main payload systems including optical, multispectral, hyperspectral, SAR, and LiDAR are introduced, with analyses of their working principles, performance benchmarks, and suitable application scenarios. In terms of object detection, traditional methods and emerging deep learning-based techniques are discussed and compared. The superior capabilities of anchor-free and Transformer-based detectors are analyzed through representative algorithms like CenterNet, FCOS, and DETR. Additionally, case studies demonstrate the broad applications and profound value of UAV remote sensing with intelligent target detection in areas such as precision agriculture, environmental conservation, infrastructure monitoring, and emergency response. Overall, this paper offers an in-depth examination of the landscape and trends of core technologies augmenting UAV remote sensing, providing guidance for future research and applications. ©2023 IEEE.

关键词： Object detection

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Node Importance Algorithm of Opportunistic Network Based on Social Properties of Nodes 26

Node Importance Algorithm of Opportunistic Network Based on ...

引用

26th International Conference on computer Supported Cooperative Work in Design, CSCWD 2023

作者： Xu, Gang Hao, Xinyu Qi, Zhihan Huang, Baoqi Inner Mongolia University College of Computer Science Hohhot China Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot China

ISBN: (纸本)9798350331684

Recent research on opportunistic network routing protocols has found that the efficiency of message forwarding varies with the selection of next-hop nodes, so it is of great significance to select the appropriate next- hop nodes for message forwarding. This paper proposes a Node Importance Algorithm Based on Social Properties of Nodes (NI). The importance evaluation model is established by using the social attributes of node centrality and relevance, and the importance forwarding algorithm is constructed according to this model. The algorithm first calculates the node importance and selects the node with higher importance as the next hop forwarding node based on this model. The experimental simulation results show that the algorithm can select more appropriate next-hop nodes to complete message forwarding, so as to improve the message delivery rate of the network. © 2023 IEEE.

关键词： Routing protocols

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A Review of Vertical Switching Algorithms for Heterogeneous wireless Networks 8

A Review of Vertical Switching Algorithms for Heterogeneous ...

引用

8th International Conference on computer and Communication Systems, ICCCS 2023

作者： Zhou, Kexin Bai, Xiangyu Wang, Zhaoran School of Computer Science Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Inner Mongolia University Inner Mongolia Autonomous Region Hohhot China

ISBN: (纸本)9781665456128

It is expected that the next generation wireless network will provide users with excessive mobile wireless services and cover the ubiquitous network at any time. It is urgent to further study the integration and interoperation technology suitable for the heterogeneous wireless communication system covering the whole environment. The heterogeneous network vertical handoff technology is an important basis of multi-network fusion. Therefore, a seamless and efficient handoff mechanism is related to the optimal network performance of heterogeneous wireless networks (HWNs);It allows mobile users to switch from one access network to another to find the best connection for the desired service. In this paper, the recent research on vertical handoff algorithms in wireless networks is reviewed and summarized, and the future research direction is prospected. © 2023 IEEE.

关键词： Heterogeneous networks

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Detecting Phishing Scams on Ethereum Using Graph Convolutional Networks with Conditional Random Field 24

Detecting Phishing Scams on Ethereum Using Graph Convolution...

引用

24th IEEE International Conference on High Performance computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Hou, Wenhan Cui, Bo Li, Ru College of Computer Science Inner Mongolia University Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing Hohhot China

ISBN: (纸本)9798350319934

As an innovative technology of great significance, blockchain has been widely used in various walks of life. Meanwhile, scams have experienced rapid growth on the blockchain, the phishing scam is a classic fraud among them. Ethereum is the largest blockchain platform that supports smart contracts, and its ecosystem has been under serious threat due to phishing scams. Consequently, phishing scam detection is particularly critical for Ethereum to avoid economic loss. However, accounts on Ethereum are represented as strings without features, which brings great difficulties for detection. To combat this challenge, we propose an effective method based on Graph Convolutional Network (GCN) with Conditional Random Field (CRF) to detect phishing scams. Firstly, we process accounts and their neighbors with transaction records to build transaction graphs. Due to lack of portrait information, we adopt DeepWalk to provide initial features for each node. Then graph representations are learned through GCN with CRF. The extensive experiments show that the proposed model performs better than comparison methods on both precision and recall, which indicates that our method can effectively identify phishing scams on Ethereum. © 2022 IEEE.

关键词： Blockchain

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Comparation of UAV Path Planning for Logistics Distribution 6th

Comparation of UAV Path Planning for Logistics Distribution

引用

6th International Conference on Intelligent Transportation Engineering, ICITE 2021

作者： Wang, Guotai Bai, Xiangyu Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing College of Computer Science Inner Mongolia University Hohhot China

ISBN: (纸本)9789811922589

In recent years, unmanned aerial vehicle (UAV), has been increasingly applied to research in various fields due to its small size and fast speed. Among them, the path planning of UAV under various actual environmental constraints has been one of the hot issues for the past few years. UAV path planning is to find the optimal or feasible route from the starting point to the target point and meet the UAV performance indicators under specific constraints. The essence of the problem is the optimization problem of multi-objective function to find the extreme value under multi-constraints. In this paper, under the background of logistics distribution, Through the research of UAV path planning model and algorithm, this paper summarizes the UAV path planning problems, analyzes several common path planning algorithms in recent years, and carries out simulation experiments with MATLAB on several algorithms with high attention. On this basis, the future research direction is prospected. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Motion planning

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An Improved Spray and Wait Algorithm Based on Q-learning in Delay Tolerant Network

An Improved Spray and Wait Algorithm Based on Q-learning in ...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Lei Yao Xiangyu Bai Kexin Zhou Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing College of Computer Inner Mongolia University Hohhot China

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

Unlike traditional networks, Delay Tolerant Network (DTN) does not have a stable end-to-end connection, so it adopts the store-carry-forward transmission mode. In DTN routing, the context information of nodes and messages, such as the social attributes between nodes, the buffer occupancy of nodes and the hop count of messages, is very important for the design of routing algorithms. Considering the above factors, this paper proposes an improved spray and wait routing algorithm based on Q-learning (ANSAW-Q). Firstly, this paper proposes a social circle construction method to characterize the similarity of social circles between nodes. Secondly, exploiting the distinctive features of the DTN routing process, we introduce connection and transmission reward functions that leverage context information of nodes and messages to update the Q-value. Finally, an adaptive method for initial message replication is introduced based on the relationship between the source and the destination. In the routing process, the node selects the appropriate relay node and manages the buffer according to the Q value. Simulation results show that ANSAW-Q can improve the message delivery ratio and reduce the network load. Q-learning can effectively improve spray and wait algorithm.

关键词： Q-learning Heuristic algorithms Simulation Neural networks Routing Delays Relays

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Vertical switching algorithm of fuzzy logic heterogeneous networks based on reinforcement learning assistance

Vertical switching algorithm of fuzzy logic heterogeneous ne...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Kexin Zhou Xiangyu Bai Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing College of Computer Inner Mongolia University Hohhot China

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

In response to the challenge of users lacking access to accurate network attributes, this paper proposes a heterogeneous network vertical handover algorithm that combines a fuzzy logic system with reinforcement learning. It begins by introducing the three modules of the fuzzy logic system and then delves into the Q-learning method in reinforcement learning. The paper proceeds to compare the proposed algorithm with three other methods using five metrics: bandwidth, latency, jitter, packet loss, and cost. Finally, it discusses the current issues and challenges faced by existing vertical handover algorithms. Simulation results indicate that this approach outperforms the other three methods in terms of switching frequency and the specified metrics, including bandwidth, jitter, latency, packet loss, and cost.

关键词： Fuzzy logic Costs Q-learning Simulation Packet loss Switches Bandwidth

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CLPSD: Detecting Ethereum Phishing Scams based on Curriculum Learning

CLPSD: Detecting Ethereum Phishing Scams based on Curriculum...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Wenhan Hou Bo Cui Yongxin Chen Ru Li Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing College of Computer Science Inner Mongolia University Hohhot China

Phishing scams have become one of the primary frauds on Ethereum, leading to substantial financial losses for users. Therefore, developing an effective phishing detection method for Ethereum holds significant importance for the blockchain ecosystem. However, the heterogeneity of Ethereum poses challenges when it comes to detecting phishing scams. In this paper, we propose a Curriculum Learning-based approach (CLPSD) for Ethereum phishing detection. We collect transaction records to build a graph. In order to distinguish the varying degrees of contribution among nodes, we design a difficulty measurer combining Local Outlier Factor and information entropy. Thus, CLPSD utilizes Graph Convolutional Network to initially learn from easy samples and progressively advance to more complex ones. The experimental results demonstrate that CLPSD outperforms existing methods, highlighting the superior performance of our approach and its significant relevance in enhancing the Ethereum ecosystem.

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Seed Node Selection Algorithm Based on Node Influence in Opportunistic Offloading 28

Seed Node Selection Algorithm Based on Node Influence in Opp...

引用

28th IEEE Symposium on computers and Communications, ISCC 2023

作者： Tang, Qi Hang, Ruijie Xu, Gang Zhang, Gaofeng Li, Shuai Huang, Baoqi College of Computer Science Inner Mongolia University Hohhot010021 China Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot010021 China Ordos Dongsheng Manshi Middle School Ordos017000 China

ISBN: (纸本)9798350300482

As a kind of mobile traffic offloading technology, opportunistic triage downloads and distributes data through seed nodes. Therefore, how to efficiently and accurately select suitable seed nodes becomes a key problem of opportunistic streaming technology. To address the problem of insufficient research on seed node content coverage in existing studies, this paper combines the characteristics of opportunity networks and the solution idea of the influence maximization problem and proposes the evaluation model of node influence for the first time. Then proposes a seed node selection algorithm (SNSNI) based on node influence on this basis. Experimental results show that the set of seed nodes selected by SNSNI algorithm can obtain smaller average message transmission delay and more covered nodes in the triage scenario compared with the random algorithm, and fewer seed nodes are required to achieve the same effect. © 2023 IEEE.

关键词： mobile traffic offloading node influence opportunistic triage seed node

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2-Hop Routing Strategy for Overlapping Communities based on Social Intimacy 25

2-Hop Routing Strategy for Overlapping Communities based on ...

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25th IEEE International Conference on computer Supported Cooperative Work in Design, CSCWD 2022

作者： Liu, Zhanguo Xu, Gang Cheng, Yuan Huang, Baoqi Bai, Xiangyu Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot010021 China Inner Mongolia University College of Computer Science Hohhot010021 China

ISBN: (纸本)9781665405270

In an opportunistic network with social attributes, the selection of relay nodes is mainly done according to community division. In the social opportunity network, community partition is the key to reducing data forwarding delay and improving the success rate of data delivery. To solve the problem that existing opportunistic network routing algorithms do not analyze the impact of overlap and transitivity of community on opportunistic routing, a 2-hop routing strategy for overlapping communities based on social intimacy(TOCSI) is proposed. The algorithm first introduces the overlapping community division method PercoMCV to reasonably divide the node community structure and designs the opportunity route based on the result of the community division. Experiments show that compared with Epidemic, Prophet, and ORRF algorithms, TOCSI can effectively improve the success rate of message delivery and reduce the average data forwarding delay and routing overhead. © 2022 IEEE.

关键词： Routing algorithms

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