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3-D Deployment of Multiple UAV-Mounted Mobile Base Stations for full coverage of IoT Ground Users with Different QoS Requirements

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IEEE COMMUNICATIONS LETTERS 2022年第12期26卷 3009-3013页

作者： Luo, Xijian Xie, Jun Xiong, Liqin Wang, Zhen Tian, Chenjing Army Engn Univ Coll Command & Control Engn Nanjing 210007 Jiangsu Peoples R China

In this letter, we study on deploying multiple UAV-Mounted mobile base stations (MBS) to provide wireless coverage for ground users (GU). Our aim is to minimize the number of deployed UAV-MBSs, and the novelty is that we jointly take the service ability of UAV-MBSs and the different QoS requirements of GUs into considerations, which have not been fully addressed. Based on the idea of 3-D heterogeneous deployment and different QoS requirements satisfaction, we propose a QoS-oriented multiple UAV-MBSs 3-D deployment algorithm, QoS-Prior, which optimizes the altitude and coverage radius of UAV-MBSs according to different QoS requirements. Moreover, the proposed algorithm models the deploying process of UAV-MBSs as calculating the optimal coordinates of the maximal QoS circles by utilizing the smallest enclosing circle problem. Numerical results show that our algorithm outperforms some baselines in terms of minimized UAV-MBSs under the constraints and achieves relatively low time complexity.

关键词： Unmanned aerial vehicles full coverage QoS requirements smallest enclosing circle

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Research on Three-Dimensional full coverage Path Planning Algorithm for Deep-Sea Mining Vehicles 11

Research on Three-Dimensional Full Coverage Path Planning Al...

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11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023

作者： Li, Feng Zhou, Rui Liang, Le Jiangsu Automation Research Institute Lianyungang222061 China

ISBN: (纸本)9798350333664

There are many difficulties for deep-sea mining vehicles to accomplish mining tasks autonomously and efficiently, such as insufficient environmental information, low data processing capabilities of deep-sea mining vehicles, and difficult real-time environmental modeling. This paper proposes a three-dimensional full-coverage path planning algorithm for deep-sea mining vehicles. Firstly, the deep-sea environment information of the mining area is collected by an autonomous underwater robot to construct a three-dimensional static map model. According to the geological type data, a three-dimensional grid model is constructed and the passable and impassable areas are divided. Then, the three-dimensional grid map is divided into multiple flat regions based on the gradient information of the region using the flood fill algorithm, and the minimum transition distance between each flat region is calculated using the Floyd algorithm. Next, a heuristic function is established combining grid status, turning factor, and height information for grid transfer. Considering the problem that mining vehicles will enter dead zones inevitably, the virtual endpoint for leaving the dead zone is found by comprehensively utilizing the distance between grids and the plane minimum transition distance in which the grid is located. To guide the mining vehicle to leave the dead zone and ensure the smallest possible repetition rate, the A∗ algorithm is improved to find the final escape path. Finally, simulation experiments were designed and conducted using Matlab. The results show that the proposed algorithm can ensure a mining coverage rate of 100%, significantly reduce the vertical change of mining vehicles without a significant increase in repetition rate or turning times, reduce energy consumption. The proposed algorithm improves the work efficiency and economic benefits of deep-sea mining vehicles and provides a theoretical basis for underwater path planning of deep-sea mining vehicles. © 2023

关键词： A∗ algorithm deep-sea mining full coverage path planning

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From traditional to modern 'full coverage' geomorphological mapping: a study case in the Chienti river basin (Marche region, central Italy)

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JOURNAL OF MAPS 2021年第3期17卷 17-28页

作者： Bufalini, Margherita Materazzi, Marco De Amicis, Mattia Pambianchi, Gilberto Univ Camerino Geol Div Sch Sci & Technol Via Gentile 3 Varano 7 I-62032 Camerino Italy Univ Milano Bicocca Earth & Environm Sci Dept Milan Italy

The present work contributes to the process of modernization of traditional geomorphological mapping, a fundamental tool for the assessment of the hazard degree of natural processes for the planning, of works and infrastructures. Starting from a traditional and detailed geomorphological survey and through elaborations in a GIS environment, this paper presents a multiscalar cartography model, characterized by a 'full coverage' representation of landforms. These characteristics make it possible to upscale or downscale processes and landforms and to use different information levels created in a hierarchical form. The test site for the experimentation is located on the Adriatic side of central Italy and is represented by a small catchment, about 13 km(2) large. All geomorphological features and information have been organized as elements and attributes within digital geomorphological information layers, following structured on a Digital Terrain Model derived from LiDAR;this new product is here proposed also as web-browser version.

关键词： Geomorphological mapping geodatabase WebGIS map full coverage Italy

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An operational monitoring method for full coverage pollution enterprises based on satellite remote sensing

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ATMOSPHERIC POLLUTION RESEARCH 2021年第4期12卷 141-151页

作者： Wang, Qiao Li, Qing Wang, Zhongting Chen, Hui Ma, Pengfei Ping, Fan Liu, Cheng Beijing Normal Univ Beijing 100875 Peoples R China Minist Ecol & Environm Ctr Satellite Applicat Ecol & Environm State Environm Protect Key Lab Beijing 100094 Peoples R China Inst Beijing Remote Sensing Informat Beijing 100192 Peoples R China Univ Sci & Technol China Sch Engn Sci Hefei 230026 Peoples R China

Industrial enterprises are one of the main causes of air pollution in eastern China. How to monitor them efficiently is directly related to the result of air pollution control in China. However, the monitoring of enterprises now mainly relies on the ground online monitoring technology, and only for some large enterprises, some small and medium-sized enterprises will be missed which also contribute a lot to the air pollution. Based on the satellite remote sensing technology, this paper explores an operational method of monitoring the whole coverage of pollution enterprises from macro to micro, focusing on monitoring the regional pollution status results of the pollution enterprises and identifying the key monitoring objects including the small and medium-sized ones. Based on the air pollutants retrieval results of satellite remote sensing, a remote sensing high-occurrence index model of air pollution is built. By using the pollution focused grid extract method and high-resolution satellite image identification technology, the key monitoring objects of pollution enterprises can be extracted. The result of the application cases in eastern China and the typical districts show that the remote sensing high-occurrence index model can clearly reflect the comprehensive pollution status by the pollution enterprises;validation of the identification rate of the small and middle-sized enterprises can reach over 77%, which has made a great progress compared with the inspection only relying on the supervision personnel in the absence of specific objects. The method proposed in this paper can greatly improve the scientific and accurate supervision level of environmental management.

关键词： Remote sensing High-occurrence index Monitoring full coverage Pollution enterprises

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Performance of a full-coverage Cervical Cancer Screening Program Using on an Artificial Intelligence- and Cloud-Based Diagnostic System: Observational Study of an Ultra large Population

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JOURNAL OF MEDICAL INTERNET RESEARCH 2024年第1期26卷 e51477页

作者： Ji, Lu Yao, Yifan Yu, Dandan Chen, Wen Yin, Shanshan Fu, Yun Tang, Shangfeng Yao, Lan Huazhong Univ Sci & Technol Sch Med & Hlth Management Tongji Med Coll 13 Hangkong Rd Wuhan 430030 Peoples R China Fifth Hosp Wuhan Wuhan Peoples R China Landing Artificial Intelligence Ind Res Inst Wuhan Peoples R China

Background: The World Health Organization has set a global strategy to eliminate cervical cancer, emphasizing the need forcervical cancer screening coverage to reach 70%. In response, China has developed an action plan to accelerate the eliminationof cervical cancer, with Hubei province implementing China's first provincial full-coverage screening program using an artificialintelligence (AI) and cloud-based diagnostic ***: This study aimed to evaluate the performance of AI technology in this full-coverage screening program. The evaluationindicators included accessibility, screening efficiency, diagnostic quality, and program ***: Characteristics of 1,704,461 individuals screened from July 2022 to January 2023 were used to analyze accessibilityand AI screening efficiency. A random sample of 220 individuals was used for external diagnostic quality control. The costs ofdifferent participating screening institutions were ***: Cervical cancer screening services were extended to all administrative districts, especially in rural areas. Rural womenhad the highest participation rate at 67.54% (1,147,839/1,699,591). Approximately 1.7 million individuals were screened, achievinga cumulative coverage of 13.45% in about 6 months. full-coverage programs could be achieved by AI technology in approximately1 year, which was 87.5 times more efficient than the manual reading of slides. The sample compliance rate was as high as 99.1%,and compliance rates for positive, negative, and pathology biopsy reviews exceeded 96%. The cost of this program was CN & YEN;49(the average exchange rate in 2022 is as follows: US $1=CN & YEN;6.7261) per person, with the primary screening institution and thethird-party testing institute receiving CN & YEN;19 and & YEN;27, ***: AI-assisted diagnosis has proven to be accessible, efficient, reliable, and low cost, which could support theimplementation of full-coverage screening programs, especially in a

关键词： full coverage cervical cancer screening artificial intelligence primary health institutions accessibility efficiency

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Multi-MAV Autonomous full coverage Search in Cluttered Forest Environments

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JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 2022年第2期106卷 32-32页

作者： Xu, Xiaoling Marelli, Damian Meng, Wei Zhang, Fumin Cai, Qianqian Fu, Minyue Guangdong Univ Technol Sch Automat Guangdong Prov Key Lab Intelligent Decis & Cooper Guangzhou 510006 Peoples R China Natl Sci & Tech Res Council French Argentine Int Ctr Informat & Syst Sci Rosario Argentina Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA Univ Newcastle Sch Engn & Comp Sci Callaghan NSW 2308 Australia

This paper is concerned with autonomous forest full coverage search using multiple micro aerial vehicles (MAVs). Due to the complex and cluttered environment, i.e., many obstacles under the forest canopy, it is quite challenging to achieve full coverage search using fully autonomous MAVs, e.g., quadrotors. In this work, we propose a two-stage multi-MAV forest search strategy. The first batch of MAVs provides a coarse search and mapping result using pre-defined or auto-generated paths. Based on that, the second batch of MAVs continues to search the multiple isolated regions missed by the first batch. The main difficulties fall in the autonomous task allocation and optimal cooperative coverage path planning for the second batch of MAVs, to achieve the full coverage goal. To address this problem, a task allocation algorithm based on the branch and bound principle is introduced to find the optimal search order of the missed regions. Furthermore, an optimal coverage path planning algorithm considering obstacle avoidance is proposed to cover each region. Simulation results show that our proposed method improves the efficiency of coverage path planning for cooperative search and guarantees full area coverage.

关键词： Micro aerial vehicles full coverage Cooperative search Task allocation Connected vehicles

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full coverage film cooling on a non-axisymmetric contoured endwall and the baseline endwall

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INTERNATIONAL JOURNAL OF THERMAL SCIENCES 2020年 158卷 106562-106562页

作者： Chen, Pingting Xue, Qichao Li, Xueying Ren, Jing Jiang, Hongde Tsinghua Univ Dept Energy & Power Engn Beijing Peoples R China

full coverage film cooling arrangement is widely needed in nozzle guide vanes (NGVs) to keep the turbine surfaces from melting due to the unprecedented high turbine inlet temperature. Meanwhile, to reduce the passage aerodynamic losses, non-axisymmetric endwall contouring are widely applied. The employment of endwall contouring will impact the full coverage film cooling performance, thus changing the turbine durability. Thus, it is important to deeper know the effect of non-axisymmetric endwall contouring on endwall full coverage film cooling performance. In this study, Pressure Sensitivity Paint (PSP) technique is used to measure the full coverage film cooling effectiveness (eta) distributions on a non-axisymmetric contoured endwall (CE) and the corresponding baseline endwall (BE) with several coolant mass flow ratios (MFRs). Meanwhile, cases with the corresponding experimental conditions by computational fluid dynamics (CFD) are done to calculate the blowing ratio (BR) and MFR distributions of the film cooling holes. The eta distributions on the CE and the BE are compared, and the effect of MFR on the CE full coverage film cooling performance are documented. In addition, different turbulence models are evaluated on the ability to model the endwall film cooling problems by comparing the CFD results with the experimental results. With small MFR values, the film cooling performance are worse on the CE in the near-hole regions at the fore part of the passage but better on the CE in the far-hole regions and at the aft part of the passage than that on the BE. While with large MFRvalues, the CE perform better than the BE throughout the endwall surface.

关键词： Gas turbine full coverage Film cooling Contoured endwall

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On the Minimum Quantity of Mobile Sensor Nodes for full coverage in Hybrid WSN

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Sensors (Basel, Switzerland) 2025年第10期25卷 3210页

作者： Monik Silva Sousa João Viana da Fonseca Neto Laboratory of Embedded Systems and Intelligent Control Federal University of Maranhão-UFMA São Luís 65080-805 Brazil. Department of Electrical Engineering Federal University of Maranhão-UFMA São Luís 65080-805 Brazil.

A main challenge in deploying wireless sensor networks (WSNs) is determining the minimum quantity of sensor nodes required to fully cover the region of interest while avoiding coverage holes. This study proposes a method to compute the number of nodes needed to monitor a circular region and a distributed control strategy based on circular formations to move dynamic agents to their desired positions. The method addresses the coverage problem, ensuring that each point in the monitored region is detected without losing connectivity. In addition, the study compares this approach with a sensor node allocation method based on Voronoi diagrams, highlighting the need for an algorithm that computes the desired positions of the agents to provide guaranteed flawless coverage; the proposed method achieves this by obtaining the desired final positions. The hybrid WSN architecture, together with the proposed method, achieves full coverage efficiently and better utilizes the detection circumference of sensors compared to traditional rectangular monitoring regions.

关键词： circular formation coverage hole full coverage hybrid WSN sensor nodes quantity

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A novel algorithm for full-coverage daily aerosol optical depth retrievals using machine learning-based reconstruction technique

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ATMOSPHERIC ENVIRONMENT 2024年 318卷

作者： Yu, Xinyu Wong, Man Sing Nazeer, Majid Li, Zhengqiang Kwok, Coco Yin Tung Hong Kong Polytech Univ Dept Land Surveying & Geoinformat Hong Kong Peoples R China Hong Kong Polytech Univ Res Inst Land & Space Hong Kong Peoples R China Chinese Acad Sci State Environm Protect Key Lab Satellite Remote S Aerosp Informat Res Inst Beijing 100101 Peoples R China

The ubiquitous missing values in the satellite-derived aerosol optical depth (AOD) products have always been a challenge for spatial and temporal analysis. To address this concern, we propose a novel data-driven model to attain the full-coverage daily AOD dataset with 0.01 degrees spatial resolution in the Guangdong-Hong Kong-Macao Greater Bay Area (hereafter GBA) from 2010 to 2021. Firstly, the missing values of top-of-atmosphere (TOA) reflectance and surface reflectance of Moderate Resolution Imaging Spectroradiometer (MODIS) caused by cloud contamination, were reconstructed using the Data Interpolating Empirical Orthogonal Functions (DINEOF). Subsequently, a new model was developed for the estimation of AOD which integrates the geographical and temporal encodings into the Light Gradient Boosting Machine (LightGBM) with the inputs of reconstructed TOA/ surface reflectance and other influencing variables like meteorological and geographical factors. Results showed that the derived gap-free AOD dataset outperforms the MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) AOD product and agrees well with the ground-based observations, achieving an index of agreement (IOA) of 0.88, R of 0.84, root mean square error (RMSE) of 0.19 and mean absolute error (MAE) of 0.14. Moreover, the derived AOD dataset presents consistent temporal patterns with in-situ measurements, but with more spatial details than other gapless AOD datasets, i.e., Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). Overall, this study has developed a promising meteorological framework for the estimation of full-coverage AOD, which can also be applied over other regions. The derived longterm full-coverage daily AOD dataset can also be used for other applications related to climate change, air quality and ecosystem assessment.

关键词： Aerosol optical depth full coverage Data interpolating empirical orthogonal functions Light gradient boosting machine

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ESTIMATING HOURLY full-coverage HIMAWARI-8 AHI AOD WITH SPATIOTEMPORAL RANDOM FOREST MODEL

ESTIMATING HOURLY FULL-COVERAGE HIMAWARI-8 AHI AOD WITH SPAT...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Jin, Zichun Wang, Shaofei Ma, Jin Zhou, Ji Univ Elect Sci & Technol China Ctr Informat Geosci Sch Resources & Environm Chengdu 611731 Peoples R China Shanghai Spaceflight Inst TT&C & Telecommun Shanghai 201109 Peoples R China

ISBN: (数字)9781665427920

ISBN: (纸本)9781665427920

Aerosol optical depth (AOD) is closely related to atmospheric pollutants. However, a large number of missing values in satellite AOD severely limits its application. We proposed a spatiotemporal random forest (RF) model to estimate the missing AHI AOD in this study. In addition to the commonly used meteorological and topographic parameters, the spatiotemporal data and MERRA-2 AOD were introduced as the model inputs. Specifically, the training data was divided into multiple subsets based on the land cover types and local times to explicitly characterize the spatiotemporal variation of AOD. The validation results indicated that the RF model achieved promising results with RMSE of 0.03 to 0.17, MBE of -0.01 to 0.02, and R of 0.87 to 0.97 at different land cover types and local times.

关键词： AHI AOD full coverage Himawari-8

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