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A Review on the Security of the Ethereum-Based DeFi Ecosystem

Computer Modeling in engineering & Sciences 2024年第4期139卷 69-101页

作者： Yue Xue Dunqiu Fan Shen Su Jialu Fu Ning Hu Wenmao Liu Zhihong Tian Cyberspace Institute of Advanced Technology Guangzhou UniversityGuanzhou510000China Innovation Center NSFOCUS Inc.Beijing100089China Engineering Research Center of Integration and Application of Digital Learning Technology Ministry of EducationBeijing100816China

Decentralized finance(DeFi)is a general term for a series of financial products and *** is based on blockchain technology and has attracted people’s attention because of its open,transparent,and intermediary *** them,the DeFi ecosystem based on Ethereum-based blockchains attracts the most ***,the current decentralized financial system built on the Ethereum architecture has been exposed to many smart contract vulnerabilities during the last few ***,we believe it is time to improve the understanding of the prevailing Ethereum-based DeFi ecosystem security *** that end,we investigate the Ethereum-based DeFi security issues:1)inherited from the real-world financial system,which can be solved by macro-control;2)induced by the problems of blockchain architecture,which require a better blockchain platform;3)caused by DeFi invented applications,which should be focused on during the project *** on that,we further discuss the current solutions and potential directions ofDeFi *** to our research,we could provide a comprehensive vision to the research community for the improvement of Ethereum-basedDeFi ecosystem security.

关键词： Blockchain smart contract decentralized finance DeFi security

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A Framework Based on the DAO and NFT in Blockchain for Electronic Document Sharing

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Computer Modeling in engineering & Sciences 2024年第9期140卷 2373-2395页

作者： Lin Chen Jiaming Zhu Yuting Xu Huanqin Zheng Shen Su Cyberspace Institute of Advanced Technology Guangzhou UniversityGuangzhou510006China Engineering Research Center of lntegration and Application of Digital Learning Technology Ministry of EducationBeijing100816China

In the information age,electronic documents(e-documents)have become a popular alternative to paper documents due to their lower costs,higher dissemination rates,and ease of knowledge ***,digital copyright infringements occur frequently due to the ease of copying,which not only infringes on the rights of creators but also weakens their creative ***,it is crucial to establish an e-document sharing system that enforces copyright ***,the existing centralized system has outstanding vulnerabilities,and the plagiarism detection algorithm used cannot fully detect the context,semantics,style,and other factors of the *** watermark technology is only used as a means of infringement *** paper proposes a decentralized framework for e-document sharing based on decentralized autonomous organization(DAO)and non-fungible token(NFT)in *** use of blockchain as a distributed credit base resolves the vulnerabilities inherent in traditional centralized *** e-document evaluation and plagiarism detection mechanisms based on the DAO model effectively address challenges in comprehensive text information checks,thereby promoting the enhancement of e-document *** mechanism for protecting and circulating e-document copyrights using NFT technology ensures effective safeguarding of users’e-document copyrights and facilitates e-document ***,recognizing the security issues within the DAO governance mechanism,we introduce an innovative optimization *** experimentation,we validate the enhanced security of the optimized governance mechanism,reducing manipulation risks by up to 51%.Additionally,by utilizing evolutionary game analysis to deduce the equilibrium strategies of the framework,we discovered that adjusting the reward and penalty parameters of the incentive mechanism motivates creators to generate superior quality and unique e-documents,while evaluators are more likely to engage in

关键词： Electronic document sharing blockchain DAO NFT evolutionary game

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research on Cloud Platform Network Architecture technology Based on Edge Computing 5

Research on Cloud Platform Network Architecture Technology B...

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5th International Conference on Modern Management based on Big Data, MMBD 2024

作者： Wang, Xuliang The Open University of China Beijing100039 China Engineering Research Center of Integration and Application of Digital Learning Technology Ministry of Education Beijing100039 China

ISBN: (纸本)9781643685281

The manufacturing industry faces significant challenges in adapting to the COVID-19 pandemic and the shift towards mass customization, necessitating the reevaluation of traditional collaboration models. These models are challenged by the high costs of digital transformation, particularly for small and medium-sized enterprises (SMEs), and the complexities of integrating disparate digital systems among large and medium-sized enterprises (LMEs). This paper proposes a novel cloud platform network architecture, supported by a collaborative cloud platform and an interoperable semantic edge gateway, to enhance cross-enterprise collaboration. This architecture aims to overcome the heterogeneity of resources and enable seamless integration. The efficacy of this architecture is demonstrated through a case study on the collaborative production of a lubrication pump, showing advancements in manufacturing efficiency and resource optimization. The findings highlight the potential of cloud platform architectures to redefine collaborative manufacturing processes, with improvements in on-time delivery ratio and equipment utilization ratio as key outcomes. The study offers a promising direction for innovative solutions in the collaborative manufacturing sector. © 2024 The authors and IOS Press.

关键词： Cloud platforms

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Time Difference of Arrival location method based on improved dung beetle optimizer algorithm 3

Time Difference of Arrival location method based on improved...

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3rd International Conference on High Performance Computing and Communication engineering, HPCCE 2023

作者： Liu, Bo Nie, Shiliang Wang, Xuliang Jiang, Guanwu School of Information Engineering Southwest University of Science and Technology Sichuan Mianyang621010 China Engineering Research Center of Integration and Application of Digital Learning Technology Ministry of Education Beijing100039 China

ISBN: (数字)9781510674653

ISBN: (纸本)9781510674646

For Time Difference of Arrival (TDOA) location, an improved Dung Beetle Optimizer location algorithm based on golden sine strategy and self-adaptive Levy flight was proposed. In the population initialization stage, Bernoulli map was used to initialize the position of dung beetle population, which optimized the uneven distribution of population and limited search range. Then, the golden sinusoidal strategy is introduced into the dung beetle rolling behavior rules to enhance the local optimization ability and improve the convergence ability of the algorithm. Finally, self-adaptive Levy flight strategy was used to randomly update the location of the theft behavior of dung beetles, which decreased the constraint of the local extremum and improved the anti-jamming ability of the algorithm to the location noise. Experimental comparisons with Chan algorithm, Sparrow Search Algorithm(SSA), Whale Optimizer Algorithm(WOA), Grey Wolf Optimizer(GWO), and the Dung Beetle Optimizer demonstrate that the improved cockroach algorithm achieves higher positioning accuracy and convergence speed. It outperforms other algorithms and is suitable for TDOA location. © 2024 SPIE.

关键词： Time difference of arrival

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Improving the Generalization Ability in Essay Coherence Evaluation Through Monotonic Constraints 12th

Improving the Generalization Ability in Essay Coherence Ev...

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

作者： Zheng, Chen Zhang, Huan Zhao, Yan Lai, Yuxuan The Open University of China Beijing China Engineering Research Center of Integration and Application of Digital Learning Technology Ministry of Education Beijing China

ISBN: (纸本)9783031446986

Coherence is a crucial aspect of evaluating text readability and can be assessed through two primary factors when evaluating an essay in a scoring scenario. The first factor is logical coherence, characterized by the appropriate use of discourse connectives and the establishment of logical relationships between sentences. The second factor is the appropriateness of punctuation, as inappropriate punctuation can lead to confused sentence structure. To address these concerns, we propose a coherence scoring model consisting of a regression model with two feature extractors: a local coherence discriminative model and a punctuation correction model. We employ gradient-boosting regression trees as the regression model and impose monotonicity constraints on the input features. The results show that our proposed model better generalizes unseen data. The model achieved third place in track 1 of NLPCC 2023 shared task 7. Additionally, we briefly introduce our solution for the remaining tracks, which achieves second place for track 2 and first place for both track 3 and track 4. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Regression analysis

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A self-driving solution for resource-constrained autonomous vehicles in parked areas

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High-Confidence Computing 2024年第1期4卷 32-42页

作者： Jin Qian Liang Zhang Qiwei Huang Xinyi Liu Xiaoshuang Xing Xuehan Li College of Information Engineering Taizhou UniversityTaizhou 225300China Engineering Research Center of Integration and Application of Digital Learning Technology Ministry of EducationBeijing 100039China School of Computer Science and Engineering Changshu Institute of TechnologyChangshu 215500China The School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China

Autonomous vehicles in industrial parks can provide intelligent,efficient,and environmentally friendly transportation services,making them crucial tools for solving internal transportation *** the characteristics of industrial park scenarios and limited resources,designing and implementing autonomous driving solutions for autonomous vehicles in these areas has become a research *** paper proposes an efficient autonomous driving solution based on path planning,target recognition,and driving decision-making as its core *** designs for path planning,lane positioning,driving decision-making,and anti-collision algorithms are *** analysis and experimental validation of the proposed solution demonstrate its effectiveness in meeting the autonomous driving needs within resource-constrained environments in industrial *** solution provides important references for enhancing the performance of autonomous vehicles in these areas.

关键词： Autonomous vehicles Path planning Target recognition Driving decision-making Self-driving

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Track-before-detect algorithm based optimized interactive multiple model particle filtering for tracking maneuvering weak target

Track-before-detect algorithm based optimized interactive mu...

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2024 International Conference on Image Processing and Artificial Intelligence, ICIPAl 2024

作者： Wu, Xiaojia Yang, Jinlong School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China Engineering Research Center of Integration and Application of Digital Learning Technology Ministry of Education Beijing100039 China

ISBN: (纸本)9781510681514

This paper proposes an optimized algorithm for tracking maneuvering weak radar targets in complex sea environments. In the proposal, we first preprocesses radar echo images using the fractional Fourier transform (FrFT) to reduce clutter interference. Then, Feedback factor and residual resampling are introduced to optimize the interactive multiple model particle filtering (IMMPF) algorithm to achieve effective tracking of maneuvering targets. Additionally, the optimized IMMPF is combined with track before detect algorithm (TBD) to suppress clutter and accumulate target trajectory. Simulation experiment results demonstrate that the proposed algorithm can effectively track targets compared to other TBD algorithms. © 2024 SPIE.

关键词： Monte Carlo methods

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A Hybrid Remora Optimization Algorithm with Variable Neighborhood Search for the Flexible Job Shop Scheduling Problem 7

A Hybrid Remora Optimization Algorithm with Variable Neighbo...

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7th International Conference on Advanced Algorithms and Control engineering, ICAACE 2024

作者： Yang, Zheng Liang, Xiaodan Li, Yajing Wang, Haoyue School Of Computer Science And Technology Tiangong University Tianjin China Engineering Research Center Of Integration And Application Of Digital Learning Technology Ministry Of Education The Open University Of China Beijing China College Of Artificial Intelligence Tianjin University Of Science And Technology Beijing China

ISBN: (纸本)9798350361445

Reducing the production makespan of modern small-batch, multi-variety jobs can be abstracted into a flexible job shop scheduling problem (FJSP). The organization can greatly improve production efficiency by scheduling according to the optimal solution of FJSP. However, due to the high computational complexity of FJSP, it is often difficult to achieve higher performance in actual production. To optimize the makespan of the FJSP, a hybrid remora optimization algorithm with variable neighborhood search (HROA-VNS) is proposed in this work. A hybrid initialization method based on machine load balancing is utilized to improve the quality of the initial population. To solve discrete FJSP, a conversion method for individual positions and scheduling solutions is proposed, and a host switching mechanism (HSM) is designed to enhance the development and exploration capabilities of the algorithm. Furthermore, for enhancing the accuracy and effectiveness of the optimal solution, a variable neighborhood search (VNS) strategy which contains multiple structures is designed for local search. According to the experimental data, compared with the basic algorithm, the HROA-VNS reduced the makespan by an average of 33.02% and 14.40% on the two benchmark test sets respectively, and it shows better performance than related algorithms. © 2024 IEEE.

关键词： Evolutionary algorithms

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Predicting wing-pylon-nacelle configuration flutter characteristics using adaptive continuation method

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Advances in Aerodynamics 2023年第1期5卷 428-451页

作者： Qijing Yu M.Damodaran B.C.Khoo Department of Mechanical Engineering The Open University of ChinaBeijing 100039China Engineering Research Center of Integration and Application of Digital Learning Technology Ministry of EducationBeijing 100039China Temasek Laboratories National University of SingaporeSingapore 117411Singapore Department of Mechanical Engineering National University of SingaporeSingapore 117575Singapore

In this study,the aeroelastic response of a wing-pylon-nacelle system in subsonic and low supersonic flow regimes is analyzed using the continuation method in conjunction with an adaptive step size control *** the pylon and nacelle as a point mass,the computed effects of a standard structural analysis of the wing together with the pylon and nacelle are compared with those of a clean wing to build a reduced-order model for *** aerodynamic forces relating to different reduced frequencies are assessed using the Doublet Lattice Method(DLM)in the subsonic flow regime and supersonic lifting surface theory relying on the unsteady linearized small-disturbance potential flow model in the low supersonic flow *** Rational Function Approximation(RFA)method is then utilized for the state-space formulation of the system equations,appended with the continuation method for flutter ***,the linearized aeroelastic equations are resolved using the continuation method with adaptive step size,the results of which are matched with those obtained from the traditional p-k method to emphasize that the continuation method exhibits a distinct advantage in achieving better accuracy in estimating the flutter speed and identifying the“mode switching”phenomenon.

关键词： Aeroelasticity Continuation method with adaptive step-size Flutter

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Chain of Condition: Construct, Verify and Solve Conditions for Conditional Question Answering

Chain of Condition: Construct, Verify and Solve Conditions f...

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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024

作者： Lin, Jiuheng Lai, Yuxuan Feng, Yansong Wangxuan Institute of Computer Technology Peking University China State Key Laboratory of General Artificial Intelligence Peking University China Department of Computer Science The Open University of China China Engineering Research Center of Integration and Application of Digital Learning Technology Ministry of Education China

ISBN: (纸本)9798891761681

Conditional question answering (CQA) is an important task that aims to find probable answers and identify missing conditions. Existing approaches struggle with CQA due to two challenges: (1) precisely identifying necessary conditions and the logical relationship, and (2) verifying conditions to detect any that are missing. In this paper, we propose a novel prompting approach, Chain of condition, by first identifying all conditions and constructing their logical relationships explicitly according to the document, then verifying whether these conditions are satisfied, finally solving the logical expression to indicate any missing conditions and generating the answer accordingly. Experiments on two CQA benchmark datasets show our chain of condition outperforms existing prompting baselines, establishing a new state of the art. Furthermore, with only a few examples, our method can facilitate GPT-3.5-Turbo or GPT-4 to outperform all existing supervised models. © 2024 Association for Computational Linguistics.

关键词： Computational linguistics

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