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arXiv 2023年

作者： Mo, Haimiao Zeng, Min The School of Management Hefei University of Technology Anhui Hefei23009 China The Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education China College of Computer Science Guangdong University of Science and Technology Guangdong Province Dongguan China

The fireworks algorithm is an optimization algorithm for simulating the explosion phenomenon of fireworks. Because of its fast convergence and high precision, it is widely used in pattern recognition, optimal scheduling, and other fields. However, most of the existing research work on the fireworks algorithm is improved based on its defects, and little consideration is given to reducing the number of parameters of the fireworks algorithm. The original fireworks algorithm has too many parameters, which increases the cost of algorithm adjustment and is not conducive to engineering applications. In addition, in the fireworks population, the unselected individuals are discarded, thus causing a waste of their location information. To reduce the number of parameters of the original Fireworks Algorithm and make full use of the location information of discarded individuals, we propose a simplified version of the Fireworks Algorithm. It reduces the number of algorithm parameters by redesigning the explosion operator of the fireworks algorithm and constructs an adaptive explosion radius by using the historical optimal information to balance the local mining and global exploration capabilities. The comparative experimental results of function optimization show that the overall performance of our proposed LFWA is better than that of comparative algorithms, such as the fireworks algorithm, particle swarm algorithm, and bat algorithm. © 2023, CC BY.

关键词： Scattering parameters

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3DGS-based Tracking of Articulated Instruments for Instruments-Tissue Interaction Estimation in Robot-assisted Minimally Invasive Surgery

3DGS-based Tracking of Articulated Instruments for Instrumen...

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IEEE International Conference on Robotics and Biomimetics

作者： Xiaojian Li Lili Shen Ling Li Hangjie Mo Xin Wang Xiang Ma Jieyu Zheng School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei University of Technology Hefei China West China Hospital Sichuan University Sichuan China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

3D information of surgical scene potentially enhances the accuracy of surgical navigation and facilitate the automation of robot-assisted surgery. However, current research seldom considers the relative 3D position between instruments and tissue. In this paper, the instruments-tissue interaction estimation method is proposed to obtain the relative distance between instruments and tissue. The 3D Gaussian representation of instruments is established preoperatively, making the pose of instruments the only parameter to be learned and updated. Based on this, the instrument pose estimation method is proposed, which applies 3DGS (3D Gaussian Splatting) to the instrument Gaussian model to obtain rendered color images, projection masks, and depth maps. These are aligned with the input images, segmented masks and depth from stereo depth estimation to construct the target loss. By backpropagating through the target loss, the optimal instrument pose is obtained. The L1 loss and smooth loss based on TPS (the Thin Plate Spline) are used to complete the depth of tissue occluded by instruments. The instruments-tissue interaction is estimated by the nearest distance between instrument and tissue. The experimental results indicate an average error of 0.94 mm and an accuracy of 90.40% with an error less than 2mm in estimating relative 3D distance between instruments and tissue.

关键词： Solid modeling Three-dimensional displays Accuracy Minimally invasive surgery Navigation Instruments Pose estimation Real-time systems Splines (mathematics) Robots

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An intuitionistic fuzzy similarity measurement method considering orientation 8

An intuitionistic fuzzy similarity measurement method consid...

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8th International Symposium on Project Management, ISPM 2020

作者： Pei, Feng He, Yuwei Yan, An Liu, Lin School of Management Hefei University of Technology China Key Laboratory of Process Optimization and Intelligent Decision Making Ministry of Education China

ISBN: (纸本)9781921712722

Similarity of intuitionistic fuzzy sets (IFSs) is an important tool for determining the similarity degree between two objects, which is often used in the fields of pattern recognition, medical diagnosis and so on. Although many intuitionistic fuzzy similarity measurement (IFSM) methods have been proposed, those methods ignore the effect of the hesitancy part's orientation on similarity degree, which causes partial information loss and reduces the reasoning accuracy. In this paper, an improved IFSM method considering the orientation of hesitancy part on membership part, non-membership part and hesitancy part, is established by introducing the protection degrees of membership, non-membership and hesitancy. Finally, this method is applied to pattern recognition problems to demonstrate the effectiveness and applicability of the proposed method. © 8th International Symposium on Project Management, ISPM 2020. All rights reserved.

关键词： Pattern recognition

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The Pricing Strategy of Software: Vulnerability and Patch 20

The Pricing Strategy of Software: Vulnerability and Patch

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4th International Conference on Computer Science and Application Engineering, CSAE 2020

作者： Yang, Wujuan Qian, Xiaofei School of Management and Key Laboratory of Process Optimization and Intelligent Decision-making of the Ministry of Education Hefei University of Technology Hefei China

ISBN: (纸本)9781450377720

The ubiquity of vulnerability in software products poses a serious threat to network security and user system. Patching for the software is a common tool to ease the security issue. Whereas, not all users will choose to patch due to the consideration on compatibility and inconvenience. Thus, it is significant to induce users to patch for the software. Based on the background of this practical problem, this paper proposes two models (a benchmark model and a price discount model) to analyze the user's buying and patching behavior, the pricing strategy of the software vendor, and the vendor's benefits. By comparing the results of the benchmark model and the price discount model, we find that the price discount policy will result in a higher group security level and more benefits for the vendor. © 2020 ACM.

关键词： Game theory

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Research on Whole-Link Risk Situational Awareness Index System and Dynamic Risk Pool Supervision 11

Research on Whole-Link Risk Situational Awareness Index Syst...

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11th International Conference on Networks, Communication and Computing, ICNCC 2022

作者： Sun, Jingchun Deng, Fei Du, Boya School of Management Xi'An Jiaotong University China Key Laboratory of the Ministry of Education for Process Control and Efficiency Engineering China College of Information Engineering Kunming University China Key Laboratory of Data Governance and Intelligent Decision Universities of Yunnan China

ISBN: (纸本)9781450398039

With the development of society, network security becomes more and more important. It is inevitable to establish the risk index system to effectively monitor the security of network. In the previous study, due to absence of risk indicators, the risk supervising system is not perfect. However, there are few researches on the whole-link risk index system, and the determination of risk indicators lacks basis. Therefore, this paper firstly constructs a new risk index system of situational awareness, which can avoid the omission of risk indicators. Then the sliding window is used to observe this system and the optimal window width is found to determine the dynamic risk pool. Finally, the indicators of dynamic risk pool are used to dynamically monitor the whole link risk index system. The whole technical framework not only proves advantages of the mature risk index system of situational awareness, but also overcomes the disadvantage that the risk index of the whole link cannot be determined, and the dynamic risk pool has the sharing characteristics in the whole process. © 2022 ACM.

关键词： Network security

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Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model

arXiv

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arXiv 2024年

作者： Zhou, Yonghang Zhu, Hongyi Chai, Yidong Jiang, Yuanchun Liu, Yezheng School of Management Hefei University of Technology Anhui Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Anhui Hefei230009 China Department of Information Systems and Cyber Security University of Texas at San Antonio 1 UTSA Circle San AntonioTX78249 United States

Web attacks are one of the major and most persistent forms of cyber threats, which bring huge costs and losses to web application-based businesses. Various detection methods, such as signature-based, machine learning-based, and deep learning-based, have been proposed to identify web attacks. However, these methods either (1) heavily rely on accurate and complete rule design and feature engineering, which may not adapt to fast-evolving attacks, or (2) fail to estimate model uncertainty, which is essential to the trustworthiness of the prediction made by the model. In this study, we proposed an Uncertainty-aware Ensemble Deep Kernel Learning (UEDKL) model to detect web attacks from HTTP request payload data with the model uncertainty captured from the perspective of both data distribution and model parameters. The proposed UEDKL utilizes a deep kernel learning model to distinguish normal HTTP requests from different types of web attacks with model uncertainty estimated from data distribution perspective. Multiple deep kernel learning models were trained as base learners to capture the model uncertainty from model parameters perspective. An attention-based ensemble learning approach was designed to effectively integrate base learners' predictions and model uncertainty. We also proposed a new metric named High Uncertainty Ratio-F Score Curve to evaluate model uncertainty estimation. Experiments on BDCI and SRBH datasets demonstrated that the proposed UEDKL framework yields significant improvement in both web attack detection performance and uncertainty estimation quality compared to benchmark models. © 2024, CC BY.

关键词： Adversarial machine learning

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A MILP Model and Two-Stage Heuristic Algorithm for Vehicle-Assisted Multi-Drone Inspection Routing Problem

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IET intelligent Transport Systems 2025年第1期19卷

作者： Xia, Yuanqing Luo, He Dong, Rui Yin, Youlong Lin, Shizhong Wang, Guoqiang School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization & Intelligent Decision-Making Ministry of Education Hefei China Engineering Research Center for Intelligent Management of Aerospace System Anhui Province Hefei China Management Center of UAV Inspection Operation State Grid Anhui Electric Power Co. Ltd Hefei China Anhui Power Transmission & Transformation Engineering Co. Ltd Hefei China

This paper introduces a vehicle-assisted multi-drone inspection routing problem (VAMDIRP), which enables the vehicle to repeatedly traverse roads, thereby reducing task completion time. Firstly, a mixed-integer linear programming (MILP) model is constructed for the problem using a series of decision variables and auxiliary variables. The model can be solved by GUROBI for small-scale instances. Secondly, a two-stage heuristic algorithm is proposed to solve large-scale instances. Experimental results show that this algorithm improves the solution quality by an average of 20.71% and reduces the running time by an average of 60.31% compared to existing algorithms. Finally, a sensitivity analysis is conducted on relevant parameters, revealing that changes in the number and speed of drones significantly affect the solution quality. © 2025 The Author(s). IET intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

关键词： Sensitivity analysis

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Exploring the impact of COVID-19 on travel behavior based on EV charging big data

Exploring the impact of COVID-19 on travel behavior based on...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Kaile Zhou Dingding Hu Fangyi Li Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education School of Management Hefei University of Technology Hefei China

ISBN: (纸本)9781665434263

The COVID-19 pandemic has forced many governments around the world to implement strict lockdown measures and order citizens to stay at home, which has caused a major change in travel patterns. This study leveraged electric vehicle charging big data in Hefei, Anhui Province, China to estimate electric vehicle charging demand in the absence of the COVID-19 pandemic using multi-layer perceptron model, which quantified the impact of the COVID-19 pandemic. In addition, we employed the vector autoregressive model to investigate the dynamic relationships between the changes in charging demand and various explanatory factors. The results suggest that the daily average charging demand in Hefei decreased by 78.3 % compared to the predicted value during the pandemic. Furthermore, according to the variance decomposition and impulse response function analysis, national confirmed COVID-19 cases play a dominant role in reducing charging demand. The number of daily hospitalizations and Migration Scale Index also have significant and robust effect on the decrease in charging demand. The Air Quality Index and Baidu Index are susceptible to external factors and do not have a direct impact on the change in charging demand. Findings support a better understanding of changes in travel behavior during the pandemic and provide policy makers with references to deal with similar events.

关键词： COVID-19 Reactive power Pandemics Atmospheric modeling Big Data Air quality Electric vehicle charging

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Experimental study on in-situ capture of gaseous heavy metals by calcium-doped kaolinite in furnace

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Journal of Southeast University(English Edition) 2022年第1期38卷 62-69页

作者： Zha Jianrui Huang Yaji Xia Zhipeng Zhu Zhicheng Key Laboratory of Process Optimization and Intelligent Decision of Ministry of Education Hefei University of TechnologyHefei 230009China School of Management Hefei University of TechnologyHefei 230009China School of Energy and Environment Southeast UniversityNanjing 210096China

For revealing the effect of calcium on heavy metal in-furnace capture by kaolinite,gaseous PbCl_(2) and CdCl_(2) adsorptions by calcium-doped kaolinite at high temperatures and their mechanisms were investigated through experiments in a fixed-bed furnace,where factors of temperatures and the mixing proportion of limestone and kaolinite were *** results show that the adsorption efficiency of cadmium by the mixed sorbents is lower than that by single sorbents,mainly due to the consumption of lime or limestone,whereas that of lead varies at different reaction *** kinds of areas,named as Ca-rich zone and Ca-low zone,are found in the sorbents of calcium-doped *** Ca-rich zone tends to lessen the capture efficiencies for the two metals,whereas the Ca-low zone can enhance their *** heterogeneous distributions of calcium have multiple effects on metal sorption,including the diffusion enhancement through the eutectic effect by forming low-melting-point substances,the inhibition by the competitive occupation of reaction sites,and the block of pores caused by sintering at a high temperature.

关键词： adsorption heavy metal high temperature kaolinite mineral reaction

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Fast Construction Algorithm of Cooperative Relay Network for Unmanned Aerial Vehicle

Fast Construction Algorithm of Cooperative Relay Network for...

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第33届中国控制与决策会议

作者： Guoqiang Wang Pengfei Cheng He Luo School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Engineering Research Center for Intelligent Decision-making & Information Systems Technologies Ministry of Education Key Laboratory of Urban ITS Technology Optimization and Integration Ministry of Public Security of China

In view of the situation that the relay network needs to be constructed between the combat nodes with communication interruption in battlefield environment,a fast construction algorithm of Unmanned Aerial Vehicle(UAV) cooperative relay network is proposed,which is based on the theory of multiple shortest paths and strategy of giving priority to the relay placement node that is the most difficult to reach for *** with the existing algorithms,this algorithm can further shorten the construction time of UAV cooperative relay network on the premise of minimizing the number of UAVs used for ***,the simulation experiment results demonstrate the effectiveness of the proposed algorithm.

关键词： UAV Relay network Node Placement Multiple shortest paths

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