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Journal articles on the topic 'Aerial logistic'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Anna, Michalska, and Karpińska Katarzyna. "Capabilities of the Unmanned Aerial Vehicles in Logistic Support." Safety & Defense 4 (October 5, 2018): 22–26. http://dx.doi.org/10.37105/sd.5.

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The main focus of this paper is the capabilities of Unmanned Aerial Vehicles as a military logistic support in conflicts areas. The conducted research addresses the problems of traditional military delivery methods. Next, the problem of using UAVs only for civilian purposes is considered. The paper begins with short elucidation of logistic support and further provides the classification of logistic materials and discusses five categories of military equipment from the logistics point of view. Next, the paper discusses the characteristics of the parameters and properties of the chosen existing

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Aiello, Giuseppe, Rosalinda Inguanta, Giusj D’Angelo, and Mario Venticinque. "Energy Consumption Model of Aerial Urban Logistic Infrastructures." Energies 14, no. 18 (2021): 5998. http://dx.doi.org/10.3390/en14185998.

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In the last decade, logistic systems based on small aerial vehicles (drones) have become attractive for urban delivery operations as a sustainable alternative to ground vehicles because they are not affected by the congestion of the road network, thus allowing for faster and more reliable services. Aerial logistic systems, however, require a substantially different approach to operations management and need specifically designed supportive infrastructures. While the research on urban aerial delivery mostly focuses on the optimization vehicle operations, the appropriate design of supportive inf

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Zhang, Yixuan, Qinyang Zhao, Peifu Mao, Qiaofeng Bai, Fuzhong Li, and Svitlana Pavlova. "Design and Control of an Ultra-Low-Cost Logistic Delivery Fixed-Wing UAV." Applied Sciences 14, no. 11 (2024): 4358. http://dx.doi.org/10.3390/app14114358.

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In contemporary logistics, the deployment of fixed-wing unmanned aerial vehicles (UAVs) as a transportation platform is experiencing rapid advancements, garnering substantial application within numerous logistic operations with pronounced efficacies. There are notable impediments to the utilization of commercial logistic-oriented fixed-wing UAVs, including elevated procurement and maintenance costs, extensive maintenance intervals, and unsuitability for small-volume, low-altitude transport tasks. These factors collectively exacerbate the risk associated with enterprise procurement and elevate

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Grigoriev, M. N., I. A. Maksimtsev, and S. A. Uvarov. "Prospects for Russian-Chinese cooperation in the system of logistics support for the regions of the Russian Far North." Economics and Management 28, no. 10 (2022): 985–94. http://dx.doi.org/10.35854/1998-1627-2022-10-985-994.

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Aim. The presented study investigates the ways of organizing logistics support for the population and economic entities in the regions of the Far North of the Russian Federation to propose a new technology for solving these problems using unmanned aerial vehicles (UAVs).Tasks. The authors analyze approaches to solving logistics problems in remote and hard-to-reach regions; identify the specific aspects of organizing logistics support for the population and economic entities of the Russian Far North; examine Chinese experience of solving logistics problems using unmanned aerial vehicles and det

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Mirnenko, Volodymyr, Anatolii Salii, Pavlo Open'ko, et al. "PECULIARITIES OF DEVELOPMENT OF LOGISTIC SUPPORT FOR USING OF UNMANNED AERIAL VEHICLES." Повітряна міць України 1, no. 1 (2021): 63–69. http://dx.doi.org/10.33099/2786-7714-2021-1-1-63-69.

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The main aim of the report is creation an unified theory of logistics of the Air Forces of the Armed Forces of Ukraine based on the existing theories of armament and the logistics of the Armed Forces, the general laws and determined trends, principles, forms and methods of the use of the logistics of the Air Forces of the Armed Forces of Ukraine and impact Unmanned Aerial Vehicles (UAV) on this theory. Based on the information analysis on critical UAV maintenance tasks including tasks unique to UAV operations, and the facilities and personnel involved in maintenance, the issues of UAV maintena

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Mu, J., S. Cui, and P. Reinartz. "BUILDING DETECTION USING AERIAL IMAGES AND DIGITAL SURFACE MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 159–65. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-159-2017.

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In this paper a method for building detection in aerial images based on variational inference of logistic regression is proposed. It consists of three steps. In order to characterize the appearances of buildings in aerial images, an effective bag-of-Words (BoW) method is applied for feature extraction in the first step. In the second step, a classifier of logistic regression is learned using these local features. The logistic regression can be trained using different methods. In this paper we adopt a fully Bayesian treatment for learning the classifier, which has a number of obvious advantages

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Banshchikova, Lyubov S., and Igor L. Kalyuzhny. "Research of swamps in logistic purposes using the unmanned aerial vehicles (UAVS)." Transactions of the Kоla Science Centre. Series: Natural Sciences and Humanities 1, no. 2/2022 (2022): 113–19. http://dx.doi.org/10.37614/2949-1185.2022.1.2.014.

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The selection of the optimal location of routes on a swamp massif is based on the use of landscape-hydrological approach, which provides the assessment of durability characteristics in various types of swamp microlandscapes. The paper presents the durability characteristics of the swamp field depending on the hydrological regime of oligotrophic swamps. The genetic classification of swamps is consistent with the engineering classification of peatlands, according to which swamps are distributed by the nature of movement of construction vehicles on them. The selection of the route on the frozen f

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Khan, M. Saif I., Ralf Ohlemüller, Richard F. Maloney, and Philip J. Seddon. "Monitoring Dynamic Braided River Habitats: Applicability and Efficacy of Aerial Photogrammetry from Manned Aircraft versus Unmanned Aerial Systems." Drones 5, no. 2 (2021): 39. http://dx.doi.org/10.3390/drones5020039.

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Despite growing interest in using lightweight unmanned aerial systems (UASs) for ecological research and conservation, review of the operational aspects of these evolving technologies is limited in the scientific literature. To derive an objective framework for choosing among technologies we calculated efficiency measures and conducted a data envelopment productivity frontier analysis (DEA) to compare the efficacy of using manned aircraft (Cessna with Aviatrix triggered image capture using a 50 mm lens) and UAS (Mavic Pro 2) for photogrammetric monitoring of restoration efforts in dynamic brai

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Chen, Je-Chian, and Yu-Min Wang. "Comparing Activation Functions in Modeling Shoreline Variation Using Multilayer Perceptron Neural Network." Water 12, no. 5 (2020): 1281. http://dx.doi.org/10.3390/w12051281.

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The study has modeled shoreline changes by using a multilayer perceptron (MLP) neural network with the data collected from five beaches in southern Taiwan. The data included aerial survey maps of the Forestry Bureau for years 1982, 2002, and 2006, which served as predictors, while the unmanned aerial vehicle (UAV) surveyed data of 2019 served as the respondent. The MLP was configured using five different activation functions with the aim of evaluating their significance. These functions were Identity, Tahn, Logistic, Exponential, and Sine Functions. The results have shown that the performance

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Kleinpaul, Jéssica A., Alberto Cargnelutti Filho, Fernanda Carini, Rafael V. Pezzini, Gabriela G. Chaves, and Rosana M. Thomasi. "Productive traits of rye cultivars grown under different sowing seasons." Revista Brasileira de Engenharia Agrícola e Ambiental 23, no. 12 (2019): 937–44. http://dx.doi.org/10.1590/1807-1929/agriambi.v23n12p937-944.

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ABSTRACT This study aimed to adjust the Gompertz and Logistic nonlinear models for the fresh and dry matter of aerial part and indicate the model that best describes the growth of two rye cultivars in five sowing seasons, as well as to characterize the growth of the cultivars regarding the fresh and dry matter of aerial part. Ten uniformity trials were conducted with the rye crop in 2016. A weekly sampling and evaluation of 10 plants per trial was performed from the time the plants presented one expanded leaf. For each plant, the fresh and dry matter of aerial part were weighed. The Gompertz a

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Pohlmann, Valeria, Sidinei José Lopes, Isabel Lago, et al. "Nonlinear models. An approach to model irrigated and non-irrigated common bean (Phaseolus vulgaris L.) growth." International Journal for Innovation Education and Research 9, no. 5 (2021): 623–51. http://dx.doi.org/10.31686/ijier.vol9.iss5.3130.

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Common beans reduce their development and productivity when facing soil water deficit. Comprehension about growth response under this condition can be a tool for cultivar selection and escape from scarcity periods. Therefore, the objective was to characterize bean growth in different water conditions using logistic and chanter models. Two experiments (crop season= EI and fallow season = EII) were carried out in Santa Maria, RS, Brazil in a bifactorial scheme (cultivars: Triunfo, Garapiá, FC104; water condition: irrigated, not irrigated) in a completely randomized design. Fortnightly evaluation

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Ostrowski, Piotr, Tomasz Falkowski, Dariusz Karczmarz, Przemysław Mądrzycki, and Henryk Szkudlarz. "The usefulness of low-altitude aerial photography for the assessment of channel morphodynamics of a lowland river." Annals of Warsaw University of Life Sciences – SGGW. Land Reclamation 49, no. 2 (2017): 95–106. http://dx.doi.org/10.1515/sggw-2017-0008.

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Abstract The paper presents examples of using low-altitude aerial images of a modern river channel, acquired from an ultralight aircraft. The images have been taken for two sections of the Vistula river: in the Małopolska Gorge and near Dęblin and Gołąb. Alongside with research flights, there were also terrestrial investigations, such as echo sounding of the riverbed and geological mapping, carried out in the river channel zone. A comparison of the results of aerial and terrestrial research revealed high clarity of the images, allowing for precise identification of the evidence that indicates

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Knudsen, C., P. W. U. Appel, B. Hageskov, and L. Skjernaa. "Geological reconnaissance in the Precambrian basement of the Atâ area, central West Greenland." Rapport Grønlands Geologiske Undersøgelse 140 (December 31, 1988): 9–17. http://dx.doi.org/10.34194/rapggu.v140.8024.

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Geological reconnaissance was carried out in July 1987 as part of regional geological investigations planned for 1986-1992. The field work was carried out from three field camps with logistic support from GGV cutter 'J. F. Johnstrup', a helicopter and a rubber dinghy. The mapping was made on aerial photographs.

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Sánchez, Iván, and Francisco Javier López-Martínez. "A Formulation of the Log-Logistic Distribution for Fading Channel Modeling." Electronics 11, no. 15 (2022): 2409. http://dx.doi.org/10.3390/electronics11152409.

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In some scenarios, the log-logistic (LL) distribution is shown to provide the best fit to field measurements in the context of wireless channel modeling. However, a fading channel model based on the LL distribution has not been formulated yet. In this work, we introduce the L-distribution as a reformulation of the LL distribution for channel modeling purposes. We provide closed-form expressions for its PDF, CDF, and moments. Performance analysis of wireless communication systems operating under L-fading channels is exemplified, providing exact and asymptotic expressions for relevant metrics su

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Petritoli, Enrico, Fabio Leccese, and Lorenzo Ciani. "Reliability and Maintenance Analysis of Unmanned Aerial Vehicles." Sensors 18, no. 9 (2018): 3171. http://dx.doi.org/10.3390/s18093171.

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This paper focuses on the development of a new logistic approach based on reliability and maintenance assessment, with the final aim of establishing a more efficient interval for the maintenance activities for Unmanned Aerial Vehicles (UAV). In the first part, we develop an architectural philosophy to obtain a more detailed reliability evaluation; then, we study the intrinsic reliability at the design stage in order to avoid severe critical issues in the UAV. In the second part, we compare different maintenance philosophies for UAVs and develop the concepts of preventive and corrective mainten

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Dai, F. C., and C. F. Lee. "A spatiotemporal probabilistic modelling of storm-induced shallow landsliding using aerial photographs and logistic regression." Earth Surface Processes and Landforms 28, no. 5 (2003): 527–45. http://dx.doi.org/10.1002/esp.456.

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Yüksel, Zeynep, Dursun Epcim, and Süleyman Mete. "First Cluster Second Route Approach with Collaboration Unmanned Aerial Vehicle in Post-Disaster Humanitarian Logistic." Journal of Transportation and Logistics 8, no. 2 (2024): 97–111. http://dx.doi.org/10.26650/jtl.2023.1372701.

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González-Solís, Jacob, Xavier Ruiz, and Lluis Jover. "Influence of food availability on interactions between Larus cachinnans and L. audouinii." Canadian Journal of Zoology 75, no. 5 (1997): 719–24. http://dx.doi.org/10.1139/z97-092.

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Predatory and (or) kleptoparasitic interactions are greatly facilitated in mixed-species gulleries, particularly when one of the species is larger than the others. Larus audouinii, the Audouin's gull, is a threatened species breeding in sympatry with the larger L. cachinnans, the yellow-legged gull, throughout the Mediterranean. The yellow-legged gull has often been cited as the main threat to the Audouin's gull. On the Chafarinas Islands, the second largest breeding place for Audouin's gulls in the world, both gull species depend largely on commercial fisheries for food. We analyze the influe

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Sevgen, Kocaman, Nefeslioglu, and Gokceoglu. "A Novel Performance Assessment Approach using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest." Sensors 19, no. 18 (2019): 3940. http://dx.doi.org/10.3390/s19183940.

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Prediction of possible landslide areas is the first stage of landslide hazard mitigation efforts and is also crucial for suitable site selection. Several statistical and machine learning methodologies have been applied for the production of landslide susceptibility maps. However, the performance assessment of such methods have conventionally been carried out by utilizing existing landslide inventories. The purpose of this study is to investigate the performances of landslide susceptibility maps produced with three different machine learning algorithms, i.e., random forest, artificial neural ne

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Paszkowiak, Wojciech, Tomasz Bartkowiak, and Marcin Pelic. "Kinematic model of multiple trailers on a tractor system for production logistics applications." Archives of Mechanical Technology and Materials 39, no. 1 (2019): 16–25. http://dx.doi.org/10.2478/amtm-2019-0004.

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Abstract This paper demonstrates kinematic analysis of multiple trailers on a tractor system for production logistics. The analysis concerned three different steering systems of the trailers: virtual clutch and drawbar system, conventional clutch and drawbar system, double Ackermann steering system. Designed kinematic models contain various variants of paths: turning at a constant value of the steering angle, changing the steering angle as a result of an approaching collision. Each of these variants also included driving in a straight line after a 90° turn. The validation of the developed kine

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Ma, Jinyu, Shengdong Yu, Wenke Hu, et al. "Finite-Time Robust Flight Control of Logistic Unmanned Aerial Vehicles Using a Time-Delay Estimation Technique." Drones 8, no. 2 (2024): 58. http://dx.doi.org/10.3390/drones8020058.

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This paper proposes a cascaded dual closed-loop control strategy that incorporates time delay estimation and sliding mode control (SMC) to address the issue of uncertain disturbances in logistic unmanned aerial vehicles (UAVs) caused by ground effects, crosswind disturbances, and payloads. The control strategy comprises a position loop and an attitude loop. The position loop, which functions as the outer loop, employs a proportional–integral–derivative (PID) sliding mode surface to eliminate steady-state error through an integral component. Conversely, the attitude loop, serving as the inner l

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Jomaa, Ibtesam, Worud Mahdi Saleh, Rasha Rokan Ismail Hassan, and Saja Huzber Hussien Wadi. "Secured drone communication based on Esalsa20 algorithm and 1d logistic map." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 2 (2023): 861. http://dx.doi.org/10.11591/ijeecs.v29.i2.pp861-874.

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<span lang="EN-US">Over recent years, drones are increasingly being used not only for military tasks only, but also for civilian tasks too, such as environment and traffic monitoring, delivery services, and aerial surveys. Unfortunately, as they become more popular and in demand, they become more vulnerable to a variety of security threats. To combat such attacks and security threats, a proper design of a robust security and authentication system based on and stream cipher lightweight salsa20 algorithm with chaotic maps to cipher payload data to improve security network transfer of radio

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Ibtesam, Jomaa, Mahdi Saleh Worud, Rokan Ismail Hassan Rasha, and Huzber Hussien Wadi Saja. "Secured drone communication based on Esalsa20 algorithm and 1D logistic map." Secured drone communication based on Esalsa20 algorithm and 1D logistic map 29, no. 2 (2023): 861–74. https://doi.org/10.11591/ijeecs.v29.i2.pp861-874.

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Over recent years, drones are increasingly being used not only for military tasks only, but also for civilian tasks too, such as environment and traffic monitoring, delivery services, and aerial surveys. Unfortunately, as they become more popular and in demand, they become more vulnerable to a variety of security threats. To combat such attacks and security threats, a proper design of a robust security and authentication system based on and stream cipher lightweight salsa20 algorithm with chaotic maps to cipher payload data to improve security network transfer of radio technical commission for

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Silva, Mário, and Jorge Silva. "Management of urban air logistics with unmanned aerial vehicles: The case of medicine supply in Aveiro, Portugal." Journal of Airline and Airport Management 11, no. 1 (2021): 34. http://dx.doi.org/10.3926/jairm.182.

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Purpose: This research aims to investigate the relation between urban logistics and all delivery systems used. The unmanned aerial vehicle (UAV) and the unmanned aerial system (UAS) have been under investigation in the world of logistics, having been pointed as the next logistic technology. For that reason, this article proposes the use of UAV in urban logistics.Design/methodology/approach: We set for the methodology study the current state of this system and analyze what lies ahead soon. Based on this information, we intend to implement a scenario of deliveries in an urban environment. This s

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Warnke, S., and D. Bulatov. "VARIABLE SELECTION FOR ROAD SEGMENTATION IN AERIAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 297–304. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-297-2017.

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For extraction of road pixels from combined image and elevation data, Wegner et al. (2015) proposed classification of superpixels into road and non-road, after which a refinement of the classification results using minimum cost paths and non-local optimization methods took place. We believed that the variable set used for classification was to a certain extent suboptimal, because many variables were redundant while several features known as useful in Photogrammetry and Remote Sensing are missed. This motivated us to implement a variable selection approach which builds a model for classificatio

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Braverman, BSc, RN, EMT-P, Ariel. "Unmanned aerial systems (UAS) in urban search and rescue-methodology, capacity development, and integration." Journal of Emergency Management 19, no. 1 (2021): 33–38. http://dx.doi.org/10.5055/jem.0496.

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This paper’s purpose is to establish a methodological basis for using unmanned aerial vehicles (UAV) in urban search and rescue (USAR). Modern USAR operations involve the location, rescue (extrication), and initial medical stabilization of individuals trapped in confined spaces or places with complicated access, eg, high structures. As a part of the ongoing modernization process, this paper explores possible options for UAV utilization in USAR operations. Today, UAV are already taking part in support emergency operations all over the world, and possible forms of operation for UAV in USAR envir

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Wolf, Sean E., Raymond R. Hill, and Joseph J. Pignatiello. "Using Neural Networks and Logistic Regression to Model Small Unmanned Aerial System Accident Results for Risk Mitigation." Military Operations Research 19, no. 3 (2014): 27–39. http://dx.doi.org/10.5711/1082598319327.

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Yao, W., P. Poleswki, and P. Krzystek. "CLASSIFICATION OF URBAN AERIAL DATA BASED ON PIXEL LABELLING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS AND LOGISTIC REGRESSION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 405–10. http://dx.doi.org/10.5194/isprs-archives-xli-b7-405-2016.

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The recent success of deep convolutional neural networks (CNN) on a large number of applications can be attributed to large amounts of available training data and increasing computing power. In this paper, a semantic pixel labelling scheme for urban areas using multi-resolution CNN and hand-crafted spatial-spectral features of airborne remotely sensed data is presented. Both CNN and hand-crafted features are applied to image/DSM patches to produce per-pixel class probabilities with a <i>L</i><sub>1</sub>-norm regularized logistical regression classifier. The evidence th

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Yao, W., P. Poleswki, and P. Krzystek. "CLASSIFICATION OF URBAN AERIAL DATA BASED ON PIXEL LABELLING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS AND LOGISTIC REGRESSION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 405–10. http://dx.doi.org/10.5194/isprsarchives-xli-b7-405-2016.

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The recent success of deep convolutional neural networks (CNN) on a large number of applications can be attributed to large amounts of available training data and increasing computing power. In this paper, a semantic pixel labelling scheme for urban areas using multi-resolution CNN and hand-crafted spatial-spectral features of airborne remotely sensed data is presented. Both CNN and hand-crafted features are applied to image/DSM patches to produce per-pixel class probabilities with a &lt;i&gt;L&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;-norm regularized logistical regres

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Onn, Norhusna Emirah, Mushera Ambaras Khan, and Khairil Azmin Mokhtar. "THE LEGAL PERSPECTIVES OF THE DOCTRINE OF NAVIGABILITY OF AIRSPACE FOR COMMERCIAL UNMANNED AERIAL VEHICLES (UAVs) IN SHIPPING AND DELIVERY." International Journal of Law, Government and Communication 7, no. 29 (2022): 673–88. http://dx.doi.org/10.35631/ijlgc.729045.

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The emergence of the Covid-19 pandemic has had a massive social and economic impact all over the world. The conventional methods of logistics, shipping, and delivery of goods are crucial in the economic chains. The use of commercial unmanned aerial vehicles (UAVs) for shipping and delivery has been viewed as an innovative approach and business strategy for the logistics company. Commercial UAVs in shipping and delivery might be a novel and effective delivery technique in logistic services, especially for small parcels, and could be extended to medical supplies. However, due to the rigidity of

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Podvesovskiy, Aleksandr, Dmitriy Lagerev, and Alexander Filonov. "USING DATA MINING TO ESTIMATE UNMANNED AERIAL VEHICLE BATTERY CONSUMPTION." Automation and modeling in design and management 2024, no. 2 (2024): 35–44. http://dx.doi.org/10.30987/2658-6436-2024-2-35-44.

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Assessing and predicting the dynamic flight performance of an unmanned aerial vehicle is associated with the complexity of constructing and applying strict mathematical models that take into account many heterogeneous parameters. The paper examines the problem of estimating the battery consumption of an unmanned aerial vehicle when flying along a given route, considering weather conditions and geospatial characteristics. An approach to its solution is proposed, based on clarifying the estimate obtained using an approximate dependence by finding the interval with the highest probability contain

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Mora, Jordan W., John N. Mager III, and Douglas J. Spieles. "Habitat and Landscape Suitability as Indicators of Bird Abundance in Created and Restored Wetlands." ISRN Ecology 2011 (September 22, 2011): 1–10. http://dx.doi.org/10.5402/2011/297684.

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We used aerial photography, field measurements, and bird surveys to evaluate 7 Ohio mitigation wetlands for their capacity to support avian guilds at both local and landscape scales. At the local scale, we assessed each wetland with habitat suitability indices (HSI) for eight wetland-dependent bird species as indicators for four guilds: wading, diving, dabbling, and emergent dependent. We characterized landscapes within 2.5 km of each wetland by measuring the buffer width, road density, connectedness, and anthropogenic land development. The changes in landscape variables over time were determi

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Xiao, Chang, Huiliao Yang, and Bo Zhang. "Multi-Unmanned Aerial Vehicle Path Planning Based on Improved Nutcracker Optimization Algorithm." Drones 9, no. 2 (2025): 116. https://doi.org/10.3390/drones9020116.

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For the multi-UAV path planning problem, environmental modeling and an improved swarm intelligence-based optimization algorithm are discussed in this paper. Firstly, to align with reality, specific constraints of UAVs in motions, attitudes and altitudes, real-world threats such as radars and no-fly zones, and inter-UAV collisions are considered. Thus, multi-UAV path planning is transformed into a multi-objective constrained optimization problem. Accordingly, an improved nutcracker optimization algorithm is proposed to solve this problem. Through initializing with logistic chaotic mapping and t

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Wu, Kunpeng, Shaofeng Lu, Haoqin Chen, Minling Feng, and Zenghao Lu. "An Energy-Efficient Logistic Drone Routing Method Considering Dynamic Drone Speed and Payload." Sustainability 16, no. 12 (2024): 4995. http://dx.doi.org/10.3390/su16124995.

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Unmanned aerial vehicles (UAVs), or drones, are recognized for their potential to improve efficiency in last-mile delivery. Unlike the vehicle routing problem, drone route design is challenging due to several operational signatures, such as speed optimization, multi-trip operation, and energy consumption estimation. Drone energy consumption is a nonlinear function of both speed and payload. Moreover, the high speed of drones can significantly curtail the drone range, thereby limiting the efficiency of drone delivery systems. This paper addresses the trade-off between speed and flight range in

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Al-Husseini, Mahdi, Kyle H. Wray, and Mykel J. Kochenderfer. "Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 28 (2025): 28748–56. https://doi.org/10.1609/aaai.v39i28.35138.

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The transfer of patients between two aircraft using an underway watercraft increases medical evacuation reach and flexibility in maritime environments. The selection of any one of multiple underway watercraft for patient exchange is complicated by participating aircraft utilization histories and participating watercraft positions and velocities. The selection problem is modeled as a semi-Markov decision process with an action space including both fixed land and moving watercraft exchange points. Monte Carlo tree search with root parallelization is used to select optimal exchange points and det

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Нікул, С., М. Петрушенко, Л. Гордішевський та О. Босий. "ПРО КОНЦЕПЦІЮ ОРГАНІЗАЦІЇ БОРОТЬБИ З БЕЗПІЛОТНИМИ ЛІТАЛЬНИМИ АПАРАТАМИ В МІСЦЯХ ЗБЕРІГАННЯ ЗАСОБІВ УРАЖЕННЯ". Collection of scientific works of Odesa Military Academy, № 19 (30 червня 2023): 87–92. http://dx.doi.org/10.37129/2313-7509.2023.19.87-92.

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The history of small-sized, low-speed unmanned aerial vehicles, in contrast to the history of unmanned aerial vehicles, is not counted for half a century, but only for two dozen years. The first publications devoted to small-sized and low-speed unmanned aerial vehicles were published after 2008. The number of publications on the specified subject significantly increased in 2017-2018. It is during this period that military operations using small-sized and low-speed unmanned aerial vehicles become widespread. As an example, we can mention the attacks on the oil refinery in Saudi Arabia in Septem

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Mikoni, S. V. "Method of ranking alternatives based on given norms." Ontology of designing 15, no. 2 (2025): 249–61. https://doi.org/10.18287/2223-9537-2025-15-2-249-261.

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The best examples in a given subject area are used to shape the appearance of the designed product. The selection of the product prototype is carried out using multidimensional optimization methods based on criteria and value/utility theory. The paper proposes to use bidirectional (two-sided) requirements for indicator values that are implemented through the norm model. Prior to assessing indicators based on superiority relations within a finite set of alternatives, an analysis is conducted to verify compliance with the norm. This approach enables the ordering of objects based on the magnitude

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Estrada, Mario Arturo Ruiz, and Abrahim Ndoma. "The uses of unmanned aerial vehicles –UAV’s- (or drones) in social logistic: Natural disasters response and humanitarian relief aid." Procedia Computer Science 149 (2019): 375–83. http://dx.doi.org/10.1016/j.procs.2019.01.151.

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Santosh, K. "Luck that is Twirling in the Sky: Utility of Drones in the Farming Sector." Liberal Studies 3, no. 1 (2018): 81–94. https://doi.org/10.5281/zenodo.3584049.

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The road to efficiency, efficacy is important for sustainability. It’ll take goals, strategies, and simulations with techniques to compliment development alternatives.  One is the unmanned aerial vehicles (UAVs). Its utilities are many...in resolving logistic objectives to acquire inputs to act and control procedures for desired outcome with depth over distances. It is examined for use in cultivation in developing India situation. Unless the agricultural wars would reach our door-step that we cannot turn away from. India would rather bargain on a flight plan to UAV and not just make

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Ríos, Ricardo, Alexandre Ribó, Roberto Mejía, and Giovanni Molina. "COMBINING NEURAL NETWORKS AND GEOSTATISTICS FOR LANDSLIDE HAZARD ASSESSMENT OF SAN SALVADOR METROPOLITAN AREA, EL SALVADOR." Revista de Matemática: Teoría y Aplicaciones 23, no. 1 (2017): 155–72. http://dx.doi.org/10.15517/rmta.v23i1.22439.

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This contribution describes the creation of a landslide hazard assessment model for San Salvador, a department in El Salvador. The analysis started with an aerial photointerpretation from Ministry of Environment and Natural Resources of El Salvador (MARN Spanish acronym), where 4792 landslides were identified and georeferenced along with 7 conditioning factors including: geomorphology, geology, rainfall intensity, peak ground acceleration, slope angle, distance to road, and distance to geological fault. Artificial Neural Networks (ANN) were utilized to assess the susceptibility to landslides,

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Bilal, Diyar Khalis, Mustafa Unel, Mehmet Yildiz, and Bahattin Koc. "Realtime Localization and Estimation of Loads on Aircraft Wings from Depth Images." Sensors 20, no. 12 (2020): 3405. http://dx.doi.org/10.3390/s20123405.

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This paper deals with the development of a realtime structural health monitoring system for airframe structures to localize and estimate the magnitude of the loads causing deflections to the critical components, such as wings. To this end, a framework that is based on artificial neural networks is developed where features that are extracted from a depth camera are utilized. The localization of the load is treated as a multinomial logistic classification problem and the load magnitude estimation as a logistic regression problem. The neural networks trained for classification and regression are

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Swinney, Carolyn J., and John C. Woods. "Unmanned Aerial Vehicle Operating Mode Classification Using Deep Residual Learning Feature Extraction." Aerospace 8, no. 3 (2021): 79. http://dx.doi.org/10.3390/aerospace8030079.

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Unmanned Aerial Vehicles (UAVs) undoubtedly pose many security challenges. We need only look to the December 2018 Gatwick Airport incident for an example of the disruption UAVs can cause. In total, 1000 flights were grounded for 36 h over the Christmas period which was estimated to cost over 50 million pounds. In this paper, we introduce a novel approach which considers UAV detection as an imagery classification problem. We consider signal representations Power Spectral Density (PSD); Spectrogram, Histogram and raw IQ constellation as graphical images presented to a deep Convolution Neural Net

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Morse, Bruce W., and Herbert M. Kulman. "A Method of Hazard-Rating White Spruce Plantations For Yellowheaded Spruce Sawfly Defoliation." Northern Journal of Applied Forestry 3, no. 3 (1986): 104–5. http://dx.doi.org/10.1093/njaf/3.3.104.

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Abstract A hazard-rating model for defoliation by the yellowheaded spruce sawfly was developed and validated using 25 white spruce plantations in north central Minnesota. The dependent variable was degree of defoliation, and the independent variables, as measured from small-format aerial photographs, were steepness and slope aspect. The site characteristics and defoliation were correlated using a maximum likelihood logistic regression. The final model determined that steep, south-facing slopes had the highest probability of sawfly-caused defoliation. Identification of high-hazard sites should

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Xu, Ting, Yanjun Hao, Shichao Cui, et al. "Crash Risk Assessment of Off-Ramps, Based on the Gaussian Mixture Model Using Video Trajectories." Sustainability 12, no. 8 (2020): 3076. http://dx.doi.org/10.3390/su12083076.

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The focus of this paper is the crash risk assessment of off-ramps in Xi’an. The time-to-collision (TTC) is used for the measurement and cross-comparison of the crash risk of each location. Five sites from the urban expressway in Xi’an were selected to explore the TTC distribution. An unmanned aerial vehicle and a camera were used to collect traffic flow data for 20 min at each site. The parameters, including speed, deceleration rate, truck percentage, traffic volume, and vehicle trajectories, were extracted from video images. The TTCs were calculated for each vehicle. The Gaussian mixture mode

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Patterson, Charla, William Koski, Paul Pace, Brian McLuckie, and David M. Bird. "Evaluation of an unmanned aircraft system for detecting surrogate caribou targets in Labrador." Journal of Unmanned Vehicle Systems 4, no. 1 (2016): 53–69. http://dx.doi.org/10.1139/juvs-2015-0014.

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Regular, standardized population inventories have been suggested as an important component to the recovery of declining populations of boreal caribou (Rangifer tarandus caribou). Current survey methods typically employ manned aircraft, which can be noisy, expensive to operate, and dangerous for the people conducting the surveys. Small unmanned aerial systems (UAS) have garnered attention as a promising alterative to conducting aerial surveys in manned aircraft. Our research investigates the feasibility of using an UAS to conduct aerial surveys and determine which factors affect the detection o

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Yang, Panpan, Nianqin Wang, Youjin Guo, Xiao Ma, and Chao Wang. "Performance Analysis of Logistic Model Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping." Journal of Sensors 2022 (July 28, 2022): 1–19. http://dx.doi.org/10.1155/2022/8254356.

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Landslide susceptibility prediction (LSP) is the key technology in landslide monitoring, warning, and evaluation. In recent years, a lot of research on LSP has focused on machine learning algorithms, and the ensemble learning algorithm is a new direction to build the optimal prediction. Logistic model tree (LMT) combines the advantages of decision tree and logistic regression, which is smaller and more robust than ordinary algorithms. The main aim of this study is to construct and test LMT-based random forest (RF) and selected ensemble learning algorithms including bagging and boosting algorit

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Gaffey, Clare, and Anshuman Bhardwaj. "Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects." Remote Sensing 12, no. 6 (2020): 948. http://dx.doi.org/10.3390/rs12060948.

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Owing to usual logistic hardships related to field-based cryospheric research, remote sensing has played a significant role in understanding the frozen components of the Earth system. Conventional spaceborne or airborne remote sensing platforms have their own merits and limitations. Unmanned aerial vehicles (UAVs) have emerged as a viable and inexpensive option for studying the cryospheric components at unprecedented spatiotemporal resolutions. UAVs are adaptable to various cryospheric research needs in terms of providing flexibility with data acquisition windows, revisits, data/sensor types (

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Rinaldi, Marco, Stefano Primatesta, Martin Bugaj, Ján Rostáš, and Giorgio Guglieri. "Development of Heuristic Approaches for Last-Mile Delivery TSP with a Truck and Multiple Drones." Drones 7, no. 7 (2023): 407. http://dx.doi.org/10.3390/drones7070407.

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Unmanned Aerial Vehicles (UAVs) are gaining momentum in many civil and military sectors. An example is represented by the logistics sector, where UAVs have been proven to be able to improve the efficiency of the process itself, as their cooperation with trucks can decrease the delivery time and reduce fuel consumption. In this paper, we first state a mathematical formulation of the Travelling Salesman Problem (TSP) applied to logistic routing, where a truck cooperates synchronously with multiple UAVs for parcel delivery. Then, we propose, implement, and compare different sub-optimal routing ap

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Lei, Tsu Chiang, Shiuan Wan, Shih-Chieh Wu, and Hsin-Ping Wang. "A New Approach of Ensemble Learning Technique to Resolve the Uncertainties of Paddy Area through Image Classification." Remote Sensing 12, no. 21 (2020): 3666. http://dx.doi.org/10.3390/rs12213666.

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Remote sensing technology has rendered lots of information in agriculture. It has usually been used to monitor paddy growing ecosystems in the past few decades. However, there are uncertainties in data fusion techniques which can be resolved in image classification on paddy rice. In this study, a series of learning concepts integrated by a probability progress Fuzzy Dempster-Shafer (FDS) analysis is presented to upgrade various models and different types of image data which is the goal of this study. More specifically, the study utilized the FDS to generate a series of probability models in th

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Ma, Seowoo. "Technical performance in the English Premier League." Journal of Human Sport and Exercise 20, no. 3 (2025): 918–31. https://doi.org/10.55860/hzz6qe34.

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The purpose of this study was to compare the technical performance metrics of top- and bottom-tier English Premier League teams, examine the effect of match location on these metrics, and identify the statistically significant factors of winning. A total of 266 match observations were analysed via Mann–Whitney U tests and binary logistic regression. Top-tier teams had higher numbers in Shot, Shot on Target, Successful Take-On, Tackle Attacking 3rd, Pass Completed, Through Ball, Long Pass Completed, and Cross. Bottom-tier teams, on the other hand, recorded more Shot on Target Against, Clearance

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