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Articles 7381 - 7410 of 27430

Full-Text Articles in Engineering

A Simulation Study On The Formation Mechanisms Of Gas Hydrates In Pores Of Gas Hydrate-Bearing Sediments In The South China Sea, Zheng Mingming, Zhou Kerui, Wu Zurui, Liu Tianle, Yan Shichun, Zeng Guo’Ao May 2023

A Simulation Study On The Formation Mechanisms Of Gas Hydrates In Pores Of Gas Hydrate-Bearing Sediments In The South China Sea, Zheng Mingming, Zhou Kerui, Wu Zurui, Liu Tianle, Yan Shichun, Zeng Guo’Ao

Coal Geology & Exploration

The formation of high-quality gas hydrates in the pores of the sediment matrix serves as the premise and material basis for experimental research on gas hydrates, thus providing theoretical guidance for the exploration of deep-water hydrocarbons and gas hydrates in China. Based on the geological conditions of gas hydrate-bearing sediments in well GMGS2-07 in the South China Sea, this study conducted numerical simulations and laboratory experiments using the TOUGH+HYDRATE code and a self-developed device for gas hydrate reactions and generation, respectively. Firstly, this study verified the accuracy and reliability of the numerical simulation method. Then, it investigated the quality of …

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Construction And Experimental Verification Of A Damage Constitutive Model Of Rocks Under Uniaxial Compression Considering Seepage Pressure, Song Zhanping, Wang Jiahui, Pan Hongwei, Yang Pengtao, Yang Tengtian, Tian Song May 2023

Construction And Experimental Verification Of A Damage Constitutive Model Of Rocks Under Uniaxial Compression Considering Seepage Pressure, Song Zhanping, Wang Jiahui, Pan Hongwei, Yang Pengtao, Yang Tengtian, Tian Song

Coal Geology & Exploration

The construction of tunnels and underground projects in a water abundance environment is subjected to increasingly frequent construction accidents arising from the surrounding rock instability caused by groundwater infiltration. Therefore, establishing a damage constitutive model of rocks under uniaxial compression while considering seepage pressure is of great significance for guiding field construction. To characterize the stress-strain relationships in the process of uniaxial compression damage of rocks, this study introduced concepts such as the deformation model of porous rocks, pore aspect ratio, and self-consistent model and theories such as hydrochemical damage and Weibull distribution-based statistical damage into the original constitutive models …

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Temporal And Spatial Variation Characteristics Of Water Conservation Function Of Upper Danjiang River Basin In Qinling Mountains And Its Influencing Factors, Yang Jingyu, Shu Zunyun, Yang Fu, Fu Deliang, Ma Li, Zhang Liwei, Xue Yuze May 2023

Temporal And Spatial Variation Characteristics Of Water Conservation Function Of Upper Danjiang River Basin In Qinling Mountains And Its Influencing Factors, Yang Jingyu, Shu Zunyun, Yang Fu, Fu Deliang, Ma Li, Zhang Liwei, Xue Yuze

Coal Geology & Exploration

Effective water conservation function can regulate the regional hydrological cycles and ensure the regional ecological security, which are closely related to human production and life. For this reason, the way to accurately evaluate the water conservation function has become a research hot topics in current ecohydrology. Herein, the temporal and spatial variation rules of water conservation in Upper Danjiang River Basin in Qinling Mountains from 2010 to 2020 were analyzed based on the Distributed Hydrology Soil Vegetation Model (DHSVM) and the water balance method, and the effects of changes in climate and land use on the water conservation function of …

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Forward Modeling Of Amplitude Variation With Offset And Azimuth (Avoa) Response For Fracture Parameters Of Horizontal Transversely Isotropic Coal Seams, Wu Haibo, Liu Qinjie, Wang Jinchao, Li Zhi, Bai Ze, Xi Chaoqiang May 2023

Forward Modeling Of Amplitude Variation With Offset And Azimuth (Avoa) Response For Fracture Parameters Of Horizontal Transversely Isotropic Coal Seams, Wu Haibo, Liu Qinjie, Wang Jinchao, Li Zhi, Bai Ze, Xi Chaoqiang

Coal Geology & Exploration

Fractures serve as a key factor controlling the permeability of coal seams and play a crucial role in the exploration and exploitation of coalbed methane. This study focuses on the Amplitude Variation with offset and Azimuth (AVOA) response mechanisms of the fracture parameters of horizontal transversely isotropic (HTI) coal seams. To this end, this study calculated the equivalent elastic modulus of coal seams with vertical dry and fluid-saturated fractures using the Mori-Tanaka model and the Brown-Korringa anisotropic fluid substitution equation, respectively. Moreover, based on the petrophysical characterization of fractures in coal seams and the forward modeling using the HTI coal …

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Methods For Predicting The Thickness Of Coal Seams Based On Seismic Attribute Optimization And Machine Learning, Yin Haiyang, Chen Tongjun, Song Xiong, Xu Haicheng, Li Wan May 2023

Methods For Predicting The Thickness Of Coal Seams Based On Seismic Attribute Optimization And Machine Learning, Yin Haiyang, Chen Tongjun, Song Xiong, Xu Haicheng, Li Wan

Coal Geology & Exploration

Accurate location of coal seams is the key technology of unattended mining and predicting the thickness of coal seams is an important content in the seismic interpretation of coalfields. This study constructed a forward model involving wedge-shaped coal seams by referencing the actual thickness and physical properties of strata. Moreover, this study compared and analyzed the effects of signal-to-noise ratio (SNR) and regression methods on the prediction of the coal seams’ thickness through the forward modeling of seismic profiles and the extraction and optimization of seismic attributes. The results of this study are as follows: (1) Some seismic attributes were …

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Image Sharpening Method Of Automatic Loading And Unloading Drill Pipe Target In Underground Coal Mine, Yao Ningping, Liang Chunmiao, Yao Yafeng, Song Haitao May 2023

Image Sharpening Method Of Automatic Loading And Unloading Drill Pipe Target In Underground Coal Mine, Yao Ningping, Liang Chunmiao, Yao Yafeng, Song Haitao

Coal Geology & Exploration

Due to the space limitation of underground roadway in coal mine, the drilling robot is designed with two independent systems, i.e., the drilling system and the drilling pipe loading and unloading system, which are in flexible layout. Using the monocular visual identification based on cooperative target, the drilling system is associated with the drilling pipe loading and unloading system for the cooperative operation of the two systems to deliver the drill pipe. However, there are problems such as borehole cinder, cooperative target polluted by sewage, high dust concentration, low visibility, low luminance of artificial light source, uneven illumination resulting in …

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Energy Efficiency And Material Cost Savings By Evolution Of Solar Panels Used In Photovoltaic Systems Under Neutrosophic Model, Ahmed Sleem, Ibrahim Elhenawy May 2023

Energy Efficiency And Material Cost Savings By Evolution Of Solar Panels Used In Photovoltaic Systems Under Neutrosophic Model, Ahmed Sleem, Ibrahim Elhenawy

Neutrosophic Systems with Applications

Traditional applications of solar panels have been limited to smaller-scale energy production, such as that required by single houses or apartment complexes. Researchers from all around the globe have been working together to develop creative, efficient goods, increase the energy efficiency of solar panels, and build new, ground-breaking practices using photovoltaic system design. Solar photovoltaic (PV) system planning demands a strategic decision-making approach to socioeconomic growth in many nations due to the rising understanding of the financial, social, and ecological aspects. The primary goal of this study is to provide a novel, adaptable method of Multi-Criteria Decision Making (MCDM) for …

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Classification Of Arabic Social Media Texts Based On A Deep Learning Multi-Tasks Model, Ali A. Jalil, Ahmed H. Aliwy May 2023

Classification Of Arabic Social Media Texts Based On A Deep Learning Multi-Tasks Model, Ali A. Jalil, Ahmed H. Aliwy

Al-Bahir

The proliferation of social networking sites and their user base has led to an exponential increase in the amount of data generated on a daily basis. Textual content is one type of data that is commonly found on these platforms, and it has been shown to have a significant impact on decision-making processes at the individual, group, and national levels. One of the most important and largest part of this data are the texts that express human intentions, feelings and condition. Understanding these texts is one of the biggest challenges that facing data analysis. It is the backbone for understanding …

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Stripe Malls (A Comparative Study Between The Experience Of The Private And Government Sector In Sheikh Zayed City), Ahmed Mahmoud Nagi May 2023

Stripe Malls (A Comparative Study Between The Experience Of The Private And Government Sector In Sheikh Zayed City), Ahmed Mahmoud Nagi

Mansoura Engineering Journal

This paper discusses the phenomenon of the spread of strip malls on the highways surrounding the cities, by comparing the experience of the private sector represented by (The Stripe) on the Dahshur link road and the experience of the government sector represented by (Chill Out) on the 26th of July corridor in surrounding area of Sheikh Zayed City. In spite of the spread of e-commerce, which has negatively affected large malls, strip malls are constantly increasing, as they have many competitive advantages. The study aims to evaluate this incoming urban phenomenon, its suitability to Egyptian society, and its impact on …

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Dynamic Ankle Brace, Amulya Bajracharya May 2023

Dynamic Ankle Brace, Amulya Bajracharya

Beyond: Undergraduate Research Journal

The dynamic ankle brace is a 3D printed brace with geometric mesh patterns and two layers of compression sleeves. The goal of the brace is to design a comfortable slim fit ankle brace that is competitive with current ankle support braces on the market. The geometric braces provided similar levels of inversion and eversion as market braces using different sizing. The braces were tested with a custom built testing rig and human participants proving 3d printed braces are flexible yet durable. User feedback indicates users desired stronger stitching of the braces overall.

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Probabilistic Assessment Of Power Systems Resilience Under Natural Disasters, Enas M. Hegazy, Abdelfattah A. Eladl, Magdi M. El-Saadawi May 2023

Probabilistic Assessment Of Power Systems Resilience Under Natural Disasters, Enas M. Hegazy, Abdelfattah A. Eladl, Magdi M. El-Saadawi

Mansoura Engineering Journal

Extreme weather can have a substantial influence on a power system's operational resilience since they are high-impact, low-probability (HILP) events. Therefore, Power systems must be resilient to HILP incidents in addition to being reliable against widely spread and credible threats. Despite the rarity of such events, the severity of their potential impact necessitates the development of appropriate resilience assessment tools to capture their implications and enhance the resilience of energy infrastructure systems. In this paper, a probabilistic strategy is proposed to assess and evaluate the operational resilience of power distribution networks against the impacts of HILP events depending on value-at-risk …

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A Study On Image Processing Techniques And Deep Learning Techniques For Insect Identification, Vinita Abhishek Gupta, M.V. Padmavati, Ravi R. Saxena, Pawan Kumar Patnaik, Raunak Kumar Tamrakar May 2023

A Study On Image Processing Techniques And Deep Learning Techniques For Insect Identification, Vinita Abhishek Gupta, M.V. Padmavati, Ravi R. Saxena, Pawan Kumar Patnaik, Raunak Kumar Tamrakar

Karbala International Journal of Modern Science

Automatic identification of insects and diseases has attracted researchers for the last few years. Researchers have suggested several algorithms to get around the problems of manually identifying insects and pests. Image processing techniques and deep convolution neural networks can overcome the challenges of manual insect identification and classification. This work focused on optimizing and assessing deep convolutional neural networks for insect identification. AlexNet, MobileNetv2, ResNet-50, ResNet-101, GoogleNet, InceptionV3, SqueezeNet, ShuffleNet, DenseNet201, VGG-16 and VGG-19 are the architectures evaluated on three different datasets. In our experiments, DenseNet 201 performed well with the highest test accuracy. Regarding training time, AlexNet performed well, …

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Waste Recycling: Waste To Energy System, Basheer Abdulrazzak Ghani, Nadhim Mejbil Faleh May 2023

Waste Recycling: Waste To Energy System, Basheer Abdulrazzak Ghani, Nadhim Mejbil Faleh

Al-Bahir

The current economic growth trend of increased urbanization has resulted in huge amounts of municipal waste and energy consumption. Many emerging countries, such as Iraq, suffer from the worsening of such a problem. Thus, an adequate municipal waste management system and the innovation of renewable energy alternatives are the fundamental issues that need to be addressed. Two test rigs were used in this study: the first separates waste based on the principle of gravity and the difference in density between the constituent elements of the waste, The test rig consists of a conveyor belt (0.5 meter) width and (1.5 meter) …

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Simulation Of Real-Time Path Planning And Formation Control For Unmanned Surface Vessel, Dalei Song, Wenhao Gan, Yingzhi Xu, Xiuqing Qu, Jiangli Cao May 2023

Simulation Of Real-Time Path Planning And Formation Control For Unmanned Surface Vessel, Dalei Song, Wenhao Gan, Yingzhi Xu, Xiuqing Qu, Jiangli Cao

Journal of System Simulation

Abstract: Safety and collision-free navigation are the basis of normal navigation of an unmanned surface vessel. The high-fidelity virtual ocean is constructed by using Unity3D.On the basis of the vessel modeling, a real-time path planning and formation control method for unknown complex environments is proposed. Firstly, the local environment information is obtained by the laser sensor. Then the real-time local path planning is completed by combining A-star and route-thinning methods under the replanning strategy. In addition, formation control is carried out based on the leader-follower strategy and consistency method, and the artificial potential field …

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Research On Optimal Scheduling Of Microgrid Based On Nbbo Algorithm, Lisheng Wei, Benben Yang, Ruixia Sun May 2023

Research On Optimal Scheduling Of Microgrid Based On Nbbo Algorithm, Lisheng Wei, Benben Yang, Ruixia Sun

Journal of System Simulation

Abstract: In view of the economic and environmental collaborative optimization of a microgrid with a micro gas turbine, power to gas(P2G) system with the ability to abandon wind and light for consumption and capture carbon is introduced, and a microgrid optimal scheduling model with P2G system based on novel biogeography-based optimization(NBBO) algorithm is proposed. The microgrid model with the P2G system is constructed, and the working principle of the main equipment is analyzed. The reserve capacity of a wind turbine is introduced to reduce the influence of the randomness of wind power …

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Deep Reinforcement Learning-Based Control Strategy For Boost Converter, Yuxuan Dai, Chenggang Cui May 2023

Deep Reinforcement Learning-Based Control Strategy For Boost Converter, Yuxuan Dai, Chenggang Cui

Journal of System Simulation

Abstract: In view of the problems of model uncertainty and nonlinearity in bus voltage stability control of Boost converter, an intelligent control strategy based on model-free deep reinforcement learning(RL) is proposed. RL double DQN(DDQN) algorithm and deep deterministic policy gradient(DDPG) algorithm are used, and the Boost converter controller is designed. The state, action space, reward function, and neural network are also designed to improve the dynamic performance of the controller. The joint simulation of the Boost converter model and RL agent is realized by RL modelica(RLM …

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Point Cloud Registration Method Based On Improved Covariance Matrix Descriptor, Yuan Zhang, Haoyu Han, Xie Han, Jiaxu Fu May 2023

Point Cloud Registration Method Based On Improved Covariance Matrix Descriptor, Yuan Zhang, Haoyu Han, Xie Han, Jiaxu Fu

Journal of System Simulation

Abstract: Point cloud registration is a key part of the digital protection of cultural relics. Improving registration accuracy and noise resistance is the main goal of point cloud registration for cultural relics. In order to solve this problem, a three-dimensional (3D) point cloud registration method based on a covariance matrix descriptor is proposed. The tensor voting method is used to eliminate the noise points, and the internal shape signature method is used to extract the key points from the point cloud after removing the noise. Then, the neighborhood information is constructed for the extracted key points, …

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Outlier Detection During Thermal Processes Based On Improved Gaussian Mixture Model, Zheng Wu, Yue Zhang, Ze Dong May 2023

Outlier Detection During Thermal Processes Based On Improved Gaussian Mixture Model, Zheng Wu, Yue Zhang, Ze Dong

Journal of System Simulation

Abstract: Abnormal data detection during thermal processes is the basis for performing system modeling, control, and optimization and constitutes an important part of data processing. In this paper, an unsupervised outlier detection algorithm during thermal processes based on an improved Gaussian mixture model is proposed. The algorithm captures a class of data clusters under specific working conditions by using Gaussian components in each dimension, modifies the posterior probability density of the traditional model by adding penalty constraint factors to penalize the false detection and missed detection items, and identifies abnormal data according to the correlation differences with the …

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Improved Social Force Model Based On Enhancing Psych Behavioral Heterogeneity, Yandong Liu, Gaoxiang Huang, Wen Chen May 2023

Improved Social Force Model Based On Enhancing Psych Behavioral Heterogeneity, Yandong Liu, Gaoxiang Huang, Wen Chen

Journal of System Simulation

Abstract: Simulating the evacuation behavior of people under anxiety is of great significance for solving the kinematic problems such as escape. At present, most at home and abroad studies consider the anxiety factors as the only medium of population evacuation without considering how external key factors affect anxiety factors in such emergency environments. The improved social force model is proposed, combined with Agent-based stampede risk assessment, the influence of key environmental variables on the anxiety factor is quantified. The psychological force parameters are introduced, and the impact of the anxiety factor on the actual evacuation process is applied to the …

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Simulation And Optimization Of Integrated Production Logistics System Of Underground Coal Mining, Dressing, And Backfilling, Xiangqian Wang, Puhao Guo, Xiangrui Meng May 2023

Simulation And Optimization Of Integrated Production Logistics System Of Underground Coal Mining, Dressing, And Backfilling, Xiangqian Wang, Puhao Guo, Xiangrui Meng

Journal of System Simulation

Abstract: In order to study the green mining mode of coal, the bottleneck problem in the integrated production logistics system of underground coal mining, dressing, and backfilling under the goal of achieving the basic production capacity target is explored, so as to promote the coordinated and efficient logistics transportation of underground coal and gangue. A mine in Shanxi is selected as the prototype, and the queuing theory is adopted to analyze the operation process of the integrated coal production logistics system. A discrete event model is established with the help of Anylogic simulation software for related experimental optimization …

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Research On Collaborative Task Allocation Method Of Multiple Uavs Based On Blockchain, Shuangcheng Niu, Yuqiang Jin, Kunhu Kou May 2023

Research On Collaborative Task Allocation Method Of Multiple Uavs Based On Blockchain, Shuangcheng Niu, Yuqiang Jin, Kunhu Kou

Journal of System Simulation

Abstract: The autonomous collaborative control of a multi-unmanned aerial vehicle (UAV) system lacks a unified underlying technology platform and faces single point failure and information security threats. In order to solve these problems, an idea to build collaborative task planning platforms based on blockchain technology is proposed. With thecollaborative task allocation of multiple UAVs as research objects, an online, safe, high-efficiency, and real-time task allocation method is designed. The contract network task allocation algorithm is described as a smart contract, and system consensus is reached based on the blockchain consensus algorithm. In addition, …

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Auxiliary Decision-Making Method For Flight Support Force Allocation Based On Dbn, Junyang Liu, Shisong Zhu May 2023

Auxiliary Decision-Making Method For Flight Support Force Allocation Based On Dbn, Junyang Liu, Shisong Zhu

Journal of System Simulation

Abstract: In order to make up for the deficiency of decision-making methods of full deployment and proportional allocation in airport flight support activities, an auxiliary decision-making model for airport flight support force allocation based on a dynamic Bayesian network (DBN) is constructed.On the basis of quantifying the strength of the support force, thehidden Markov model and Hausdorff distance algorithm are introduced to make auxiliary decisions for flight support activities under different conditions and define relevant decision evaluation indexes as the basis for model verification. Simulation tests are carried out on airport flight support activities under two …

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Two-Stage Distributed Robust Optimal Dispatching For A Combined Heat And Power Virtual Power Plant, Yaqian Fan, Songyuan Yu, Fang Fang May 2023

Two-Stage Distributed Robust Optimal Dispatching For A Combined Heat And Power Virtual Power Plant, Yaqian Fan, Songyuan Yu, Fang Fang

Journal of System Simulation

Abstract: Combined heat and power virtual power plant (CHP-VPP) aggregates various electrical and thermal output units and takes into account the uncertainty of wind and solar output, dynamic electricity prices, thermal comfort of users, and other influences to achieve optimal dispatching of overall output. A two-stage distributed robust optimal dispatching method is proposed. In the first stage, planned dispatching is considered, so as to maximize the benefit of CHP-VPP. In the second stage, a fuzzy set of wind and solar output uncertainties is constructed based on the distributed robust method of moment uncertainty, and …

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Multi-Camera Vehicle Recognition Method Based On Feature Robustness Enhancement, Huicheng Luo, Shujuan Wang May 2023

Multi-Camera Vehicle Recognition Method Based On Feature Robustness Enhancement, Huicheng Luo, Shujuan Wang

Journal of System Simulation

Abstract: Due to factors such as viewpoint changes, complex environments, and pose differences under multiple cameras, the images of the same vehicle in different scenes show huge appearance ambiguity, which brings challenges to vehicle identity matching. In order to solve this problem, a feature robustness enhancement method for vehicle recognition is proposed under the transformer framework. Based on the fact that the structural information of the vehicle is invariant under multiple cameras, a module for enhancing structural information guided by contour features is designed, and a structural feature perception loss is proposed to promote the fusion …

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Picking Path Planning Of Container Robots Based On Improved Genetic Algorithm, Yuwen Wu, Zhiyue Niu, Zhenping Li May 2023

Picking Path Planning Of Container Robots Based On Improved Genetic Algorithm, Yuwen Wu, Zhiyue Niu, Zhenping Li

Journal of System Simulation

Abstract: Under the new "container-to-person" picking mode in intelligent warehouses, a new optimization model and its improved genetic algorithm are proposed to solve the picking path planning problem of multiple container robots. According to the picking mode and characteristics of container robots, the picking path planning problem is transformed into an asymmetric vehicle routing problem, and a mixed integer programming model is established with bi-objectives of the shortest total picking path and the least completion time. A hybrid genetic algorithm is designed to solve this model, and the effectiveness and stability of the algorithm are verified …

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Simulation Platform For Optimization And Decision Making Of Flexible Manufacturing Process Of Automatic Production Lines, Chao Fu, Dongyue Wang, Xinxin Li, Min Xue May 2023

Simulation Platform For Optimization And Decision Making Of Flexible Manufacturing Process Of Automatic Production Lines, Chao Fu, Dongyue Wang, Xinxin Li, Min Xue

Journal of System Simulation

Abstract: In order to simulate a flexible manufacturing process to verify the correctness of theoretical computation and analysis and find other important factors for optimization and decision making in the manufacturing process, a simulation platform for the optimization and decision making of the flexible manufacturing process of automatic production lines is designed and developed. The framework of the simulation platform is constructed with four hierarchies, including the enterprise production hierarchy, optimization and decision making hierarchy, data resource hierarchy, and function module hierarchy. On this basis, the functional implementation of the modules of production allocation …

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Modeling And Simulation Of Spaceborne, Near-Spaceborne, And Airborne Integrated Collaborative Remote Sensing System Based On Dodaf, Lili An, Tian Xia, Wenbin Yang, Xinbo Wu May 2023

Modeling And Simulation Of Spaceborne, Near-Spaceborne, And Airborne Integrated Collaborative Remote Sensing System Based On Dodaf, Lili An, Tian Xia, Wenbin Yang, Xinbo Wu

Journal of System Simulation

Abstract: Spaceborne, near-spaceborne, and airborne integrated collaborative remote sensing system (SNA-ICRSS) makes comprehensive use of modern information technology to aggregate multiple and heterogeneous data in spaceborne, near-spaceborne, and airborne domains, so as to realize accurate emergency service and command decision-making. SNA-ICRSS is huge and complex, and there is a lack of research on its architecture modeling and simulation. According to the architecture characteristics of the SNA-ICRSS, the minimum prototype of the SNA-ICRSS is constructed; through the department of defense architecture framework (DoDAF) and activity based methodology (ABM) methods, the minimal prototype of the SNA-ICRSS is modeled, and the operational resource …

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An Algorithm For Obtaining Interception Guidance Routes Weighted By Threat Indexes, Shuyuan Liu May 2023

An Algorithm For Obtaining Interception Guidance Routes Weighted By Threat Indexes, Shuyuan Liu

Journal of System Simulation

Abstract: Interception guidance and threat assessment are two inseparable parts of command and control. The former implements specific command and guidance through guidance solutions, and the latter provides basis for threat assessment and situation advantage to command and control. Taking threat indexes as the weight, a kind of optimal interception route index is proposed to obtain the guidance solution with the least threat. Simulation results show that the proposed algorithm can effectively provide routing solutions for interception with the least threat, and is reliable under different situations, or with different weights of threat indexes. The algorithm provides a new idea …

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Partial Task Offloading Strategy Of Cloud Robots Based On Game Theory Under Cloud-Edge Coordination, Chunmao Jiang, Zhenxing Yang May 2023

Partial Task Offloading Strategy Of Cloud Robots Based On Game Theory Under Cloud-Edge Coordination, Chunmao Jiang, Zhenxing Yang

Journal of System Simulation

Abstract: How to rationally utilize the resources of central and edge clouds to reduce energy consumption of system equipment and shorten average task completion time is a fundamental challenge for computational task offloading of cloud robots. In this paper, we transform the computational task offloading problem of multiple cloud robots into a multi-actor game model by using the computational task completion time and energy consumption of cloud robots as cost measurement indicators and setting different cost weights according to actual needs. We also develop a game theory-based partial task offloading algorithm (GT-PTO). With the Nash equilibrium state …

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Fixed-Wing Uav Detection Based On Simulated Data Transfer Learning, Yu Fu, Yao Zhang, Meng Zhao, Mianzhao Wang, Jiangpeng Zheng, Chen Jia, Shengyong Chen May 2023

Fixed-Wing Uav Detection Based On Simulated Data Transfer Learning, Yu Fu, Yao Zhang, Meng Zhao, Mianzhao Wang, Jiangpeng Zheng, Chen Jia, Shengyong Chen

Journal of System Simulation

Abstract: Data play an important role in visual inspection tasks, but it is difficult to obtain a sufficient amount of real fixed-wing UAV data. Therefore, a data set containing a large number of simulated fixed-wing UAV data and a small number of real fixed-wing UAV data is constructed, and the real fixed-wing UAV data are detected by training simulated fixed-wing UAV data based on the idea of weight transfer. On this basis, a two-stage learning strategy is proposed to further reduce the missed detection rate of UAVs by using multi-scale feature fusion.The simulation results show that …

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