Literatura científica selecionada sobre o tema "The UAV placement problem"
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Artigos de revistas sobre o assunto "The UAV placement problem"
Goehar, Huda, Ahmed S. Khwaja, Ali A. Alnoman, Alagan Anpalagan e Muhammad Jaseemuddin. "Investigation of a HAP-UAV Collaboration Scheme for Throughput Maximization via Joint User Association and 3D UAV Placement". Sensors 23, n.º 13 (2 de julho de 2023): 6095. http://dx.doi.org/10.3390/s23136095.
Texto completo da fonteLee, Chunghyun, Gunhee Jang, Nhu-Ngoc Dao, Demeke Shumeye Lakew, Cheol Lee e Sungrae Cho. "Competitive Game Theoretic Clustering-Based Multiple UAV-Assisted NB-IoT Systems". Electronics 10, n.º 3 (2 de fevereiro de 2021): 356. http://dx.doi.org/10.3390/electronics10030356.
Texto completo da fonteXue, Yishi, Bo Xu, Wenchao Xia, Jun Zhang e Hongbo Zhu. "Backhaul-Aware Resource Allocation and Optimum Placement for UAV-Assisted Wireless Communication Network". Electronics 9, n.º 9 (28 de agosto de 2020): 1397. http://dx.doi.org/10.3390/electronics9091397.
Texto completo da fonteSafwat, Nour El-Din, Ismail Mohammed Hafez e Fatma Newagy. "3D Placement of a New Tethered UAV to UAV Relay System for Coverage Maximization". Electronics 11, n.º 3 (27 de janeiro de 2022): 385. http://dx.doi.org/10.3390/electronics11030385.
Texto completo da fonteLiu, Chaoyi, e Qi Zhu. "Joint Resource Allocation and Learning Optimization for UAV-Assisted Federated Learning". Applied Sciences 13, n.º 6 (15 de março de 2023): 3771. http://dx.doi.org/10.3390/app13063771.
Texto completo da fonteLan, Tingting, Danyang Qin e Guanyu Sun. "Joint Optimization on Trajectory, Cache Placement, and Transmission Power for Minimum Mission Time in UAV-Aided Wireless Networks". ISPRS International Journal of Geo-Information 10, n.º 7 (23 de junho de 2021): 426. http://dx.doi.org/10.3390/ijgi10070426.
Texto completo da fonteZhang, Ziyong, Xiaoling Xu, Jinqiang Cui e Wei Meng. "Multi-UAV Area Coverage Based on Relative Localization: Algorithms and Optimal UAV Placement". Sensors 21, n.º 7 (31 de março de 2021): 2400. http://dx.doi.org/10.3390/s21072400.
Texto completo da fonteZhong, Tianyao, Ducheng Wu, Guoxin Li, Haichao Wang, Runfeng Chen e Jihao Cai. "Joint Optimization of Spectrum Resource Management and Position Placement for UAV Base Station Networks". Wireless Communications and Mobile Computing 2023 (27 de abril de 2023): 1–14. http://dx.doi.org/10.1155/2023/2328249.
Texto completo da fonteWaheed, Maham, Rizwan Ahmad, Waqas Ahmed, Muhammad Mahtab Alam e Maurizio Magarini. "On Coverage of Critical Nodes in UAV-Assisted Emergency Networks". Sensors 23, n.º 3 (1 de fevereiro de 2023): 1586. http://dx.doi.org/10.3390/s23031586.
Texto completo da fonteShalaby, Abdulrahman M., e Noor Shamsiah Othman. "The Effect of Rainfall on the UAV Placement for 5G Spectrum in Malaysia". Electronics 11, n.º 5 (23 de fevereiro de 2022): 681. http://dx.doi.org/10.3390/electronics11050681.
Texto completo da fonteTeses / dissertações sobre o assunto "The UAV placement problem"
Ait, Saadi Amylia. "Coordination of scout drones (UAVs) in smart-city to serve autonomous vehicles". Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG064.
Texto completo da fonteThe subject of Unmanned Aerial Vehicles (UAVs) has become a promising study field in bothresearch and industry. Due to their autonomy and efficiency in flight, UAVs are considerablyused in various applications for different tasks. Actually, the autonomy of the UAVis a challenging issue that can impact both its performance and safety during the mission.During the flight, the autonomous UAVs are required to investigate the area and determineefficiently their trajectory by preserving their resources (energy related to both altitude andpath length) and satisfying some constraints (obstacles and axe rotations). This problem isdefined as the UAV path planning problem that requires efficient algorithms to be solved,often Artificial Intelligence algorithms. In this thesis, we present two novel approachesfor solving the UAV path planning problem. The first approach is an improved algorithmbased on African Vultures Optimization Algorithm (AVOA), called CCO-AVOA algorithms,which integrates the Chaotic map, Cauchy mutation, and Elite Opposition-based learningstrategies. These three strategies improve the performance of the original AVOA algorithmin terms of the diversity of solutions and the exploration/exploitation search balance. Asecond approach is a hybrid-based approach, called CAOSA, based on the hybridization ofChaotic Aquila Optimization with Simulated Annealing algorithms. The introduction of thechaotic map enhances the diversity of the Aquila Optimization (AO), while the SimulatedAnnealing (SA) algorithm is applied as a local search algorithm to improve the exploitationsearch of the traditional AO algorithm. Finally, the autonomy and efficiency of the UAVare tackled in another important application, which is the UAV placement problem. Theissue of the UAV placement relays on finding the optimal UAV placement that satisfies boththe network coverage and connectivity while considering the UAV's limitation from energyand load. In this context, we proposed an efficient hybrid called IMRFO-TS, based on thecombination of Improved Manta Ray Foraging Optimization, which integrates a tangentialcontrol strategy and Tabu Search algorithms
Stilson, Mona T. "Multi-UAV Control: An Envisioned World Design Problem". Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1245640561.
Texto completo da fonteBaker, Chris. "A combined mechanism for UAV explorative path planning, task allocation and predictive placement". Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/405212/.
Texto completo da fonteJones, E. R. Ll. "The general pole placement problem in singular systems". Thesis, Loughborough University, 1991. https://dspace.lboro.ac.uk/2134/31932.
Texto completo da fonteFurfaro, Roberto. "Radiative transport in plant canopies: Forward and inverse problem for UAV applications". Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280700.
Texto completo da fonteJung, Changyong. "ON RELAY NODE PLACEMENT PROBLEM FOR SURVIVABLE WIRELESS SENSOR NETWORKS". VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/570.
Texto completo da fonteErnest, Nicholas D. "UAV Swarm Cooperative Control Based on a Genetic-Fuzzy Approach". University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337954828.
Texto completo da fonteUral, Mustafa. "Solution Of The Antenna Placement Problem By Means Of Global Optimization Techniques". Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612674/index.pdf.
Texto completo da fontean optimal antenna placement, which yields minimum average coupling between the antennas over the whole frequency band of operation is determined for each platform. Two important global optimization techniques, namely Genetic Algorithm Optimization and Particle Swarm Optimization, are used in determination of these optimal antenna placements. Aircraft &
ship platforms and antennas placed on them are modeled based on their real electrical and physical properties in CST &ndash
MWS (Microwave Studio) simulation tool. For each platform, antenna placements and coupling results determined by two different optimization techniques and performances of these optimization techniques are compared with each other. At the end of this thesis work
for each platform, far-field radiation pattern performances of the antennas at their optimal places are analyzed in terms of directivity and coverage.
Mofya, Enock Chisonge. "Exact and Heuristic Algorithms for Solving the Generalized Minimum Filter Placement Problem". Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1311%5F1%5Fm.pdf&type=application/pdf.
Texto completo da fonteHaslum, Patrik. "Prediction as a Knowledge Representation Problem : A Case Study in Model Design". Licentiate thesis, Linköping University, Linköping University, KPLAB - Knowledge Processing Lab, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5724.
Texto completo da fonteThe WITAS project aims to develop technologies to enable an Unmanned Airial Vehicle (UAV) to operate autonomously and intelligently, in applications such as traffic surveillance and remote photogrammetry. Many of the necessary control and reasoning tasks, e.g. state estimation, reidentification, planning and diagnosis, involve prediction as an important component. Prediction relies on models, and such models can take a variety of forms. Model design involves many choices with many alternatives for each choice, and each alternative carries advantages and disadvantages that may be far from obvious. In spite of this, and of the important role of prediction in so many areas, the problem of predictive model design is rarely studied on its own.
In this thesis, we examine a range of applications involving prediction and try to extract a set of choices and alternatives for model design. As a case study, we then develop, evaluate and compare two different model designs for a specific prediction problem encountered in the WITAS UAV project. The problem is to predict the movements of a vehicle travelling in a traffic network. The main difficulty is that uncertainty in predictions is very high, du to two factors: predictions have to be made on a relatively large time scale, and we have very little information about the specific vehicle in question. To counter uncertainty, as much use as possible must be made of knowledge about traffic in general, which puts emphasis on the knowledge representation aspect of the predictive model design.
The two mode design we develop differ mainly in how they represent uncertainty: the first uses coarse, schema-based representation of likelihood, while the second, a Markov model, uses probability. Preliminary experiments indicate that the second design has better computational properties, but also some drawbacks: model construction is data intensive and the resulting models are somewhat opaque.
Report code: LiU-Tek-Lic-2002:15.
Livros sobre o assunto "The UAV placement problem"
Ronald, Drucker, ed. Chemistry problem-solving companion. Saddle Brook, N.J: Peoples Education, 2008.
Encontre o texto completo da fonteMinnesota. Dept. of Corrections. e Minnesota. Dept. of Human Services., eds. Juvenile out-of-home placement task force report. St. Paul, MN: Minnesota Dept. of Corrections, 2001.
Encontre o texto completo da fonteM, Kauffman James, ed. Issues in educational placement: Students with emotional and behavioral disorders. Hillsdale, N.J: L. Erlbaum Associates, 1995.
Encontre o texto completo da fonteRéussir la placement des mineurs en danger: Manuel à l'usage des éducateurs. Paris: L'Harmattan, 1996.
Encontre o texto completo da fonteCenter, Langley Research, ed. Optimal control of unsteady stokes flow around a cylinder and the sensor/actuator placement problem. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.
Encontre o texto completo da fonteCenter, Langley Research, ed. Optimal control of unsteady stokes flow around a cylinder and the sensor/actuator placement problem. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.
Encontre o texto completo da fonteGrimshaw, Roger. Educating disruptive children: Placement and progress in residential special schools for pupils with emotional and behavioural difficulties. London: National Children's Bureau, 1994.
Encontre o texto completo da fonteAdministration, Washington (State) Children's, Washington (State). Dept. of Social and Health Services., Washington (State). Select Committee on Adolescents in Need of Long Term Placement. e Washington State Library. Electronic State Publications., eds. DSHS responds to recommendations from the Select Committee on Adolescents in Need of Long Term Placement. [Olympia, Wash.]: Washington State Dept. of Social & Health Services, Children's Administration, 2003.
Encontre o texto completo da fonteConnecticut. State Dept. of Education. Special study on identification and placement of special education students due to misconduct: Report to the Education Committee of the General Assembly. [Hartford, Conn.]: The Department, 1996.
Encontre o texto completo da fonteColorado. Dept. of Education. HIV Education Program. e University of Colorado Health Sciences Center. Dept. of Family Medicine. Research and Evaluation Team., eds. Results of the Colorado youth risk behavior survey adapted for youth in out-of-home placement. Denver, CO: The Program, 1992.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "The UAV placement problem"
Taleb, Sylia Mekhmoukh, Yassine Meraihi, Selma Yahia, Amar Ramdane-Cherif, Asma Benmessaoud Gabis e Dalila Acheli. "Efficient Coronavirus Herd Immunity Optimizer for the UAV Base Stations Placement Problem". In Modelling and Implementation of Complex Systems, 292–305. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18516-8_21.
Texto completo da fonteTaleb, Sylia Mekhmoukh, Yassine Meraihi, Selma Yahia, Amar Ramdane-Cherif, Asma Benmessaoud Gabis e Dalila Acheli. "Hybrid Whale Optimization Algorithm with Simulated Annealing for the UAV Placement Problem". In Future Research Directions in Computational Intelligence, 77–88. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34459-6_6.
Texto completo da fonteHeppe, Stephen B. "Problem of UAV Communications". In Handbook of Unmanned Aerial Vehicles, 715–48. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_30.
Texto completo da fonteBose, Prosenjit, Anil Maheshwari, Pat Morin e Jason Morrison. "The Grid Placement Problem". In Lecture Notes in Computer Science, 180–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44634-6_17.
Texto completo da fonteRautu, Dorin, Riadh Dhaou e Emmanuel Chaput. "Initial Placement Optimization for Multi-channel UAV Networks". In Ad-Hoc, Mobile, and Wireless Networks, 452–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31831-4_31.
Texto completo da fonteAl-Turjman, Fadi, Sinem Alturjman e Jehad Hamamreh. "Grid-Based UAV Placement in Intelligent Transportation Systems". In Drones in IoT-enabled Spaces, 119–37. Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019. |: CRC Press, 2019. http://dx.doi.org/10.1201/9780429294327-7.
Texto completo da fonteFleischer, Rudolf, e Yihui Wang. "On the Camera Placement Problem". In Algorithms and Computation, 255–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10631-6_27.
Texto completo da fonteFreund, Ari, e Joseph Seffi Naor. "Approximating the Advertisement Placement Problem". In Integer Programming and Combinatorial Optimization, 415–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47867-1_29.
Texto completo da fonteGholami, Anousheh, Nariman Torkzaban, John S. Baras e Chrysa Papagianni. "Joint Mobility-Aware UAV Placement and Routing in Multi-Hop UAV Relaying Systems". In Ad Hoc Networks, 55–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67369-7_5.
Texto completo da fonteZhang, Xianyu, Yong Chen, Yu Zhang, Kang An e Tao Liang. "Subchannel Allocation for UAV-Enabled OFDMA Systems with UAV Placement and User Association". In Lecture Notes in Electrical Engineering, 297–310. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9021-4_29.
Texto completo da fonteTrabalhos de conferências sobre o assunto "The UAV placement problem"
Elhassan, Azza, Ahmedagha Eldaniz Hamidzada, Toki Takahiro, Toma Motohiro, Mohd Waheed Orfali, Thein Zaw Phyoe, Jose Salazar e Ahmed Rashed Alaleeli. "Delivering Zonal Isolation between Reservoir Sublayers in Long, Horizontal 12 ¼-in. Hole Sections in Extended Reach Wells". In SPE/IADC Middle East Drilling Technology Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/202203-ms.
Texto completo da fonteAhmed, Shafiq, Amr Serry, Owais Khan, Gaya Al Mazrouei, Salim Kaouche, Pawan Agrawal, Alya AlSalati et al. "Water Flood Fronts Monitoring with Ultra-Deep 1D and 3D Resistivity Inversions, A Pilot Case Study in a Mature Carbonate Reservoir, Offshore Abu Dhabi, UAE". In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216896-ms.
Texto completo da fonteHeller, Brandon, Rob Sherwood e Nick McKeown. "The controller placement problem". In the first workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2342441.2342444.
Texto completo da fonteDvir, Amit, Yoram Haddad e Aviram Zilberman. "Wireless controller placement problem". In 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2018. http://dx.doi.org/10.1109/ccnc.2018.8319228.
Texto completo da fonteNguyen, Minh Dat, Tai Manh Ho, Long Bao Le e Andre Girard. "UAV Placement and Bandwidth Allocation for UAV Based Wireless Networks". In GLOBECOM 2019 - 2019 IEEE Global Communications Conference. IEEE, 2019. http://dx.doi.org/10.1109/globecom38437.2019.9014076.
Texto completo da fonteNguyen, Minh Tri, e Long Bao Le. "NOMA User Pairing and UAV Placement in UAV-Based Wireless Networks". In ICC 2019 - 2019 IEEE International Conference on Communications (ICC). IEEE, 2019. http://dx.doi.org/10.1109/icc.2019.8761606.
Texto completo da fonteYuan, Xiaopeng, Yulin Hu, James Gross e Anke Schmeink. "Radio-Map-Based UAV Placement Design for UAV-Assisted Relaying Networks". In 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2021. http://dx.doi.org/10.1109/ssp49050.2021.9513834.
Texto completo da fonteLakew, Demeke Shumeye, Arooj Masood e Sungrae Cho. "3D UAV Placement and Trajectory Optimization in UAV Assisted Wireless Networks". In 2020 International Conference on Information Networking (ICOIN). IEEE, 2020. http://dx.doi.org/10.1109/icoin48656.2020.9016553.
Texto completo da fonteCai, Jihao, e Guoxin Li. "UAV-assisted Uplink NOMA Networks: UAV Placement and Resource Block Allocation". In 2022 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2022. http://dx.doi.org/10.1109/icus55513.2022.9987037.
Texto completo da fonteIshtaique ul Huque, Md Tanvir, Guillaume Jourjon e Vincent Gramoli. "Revisiting the controller placement problem". In 2015 IEEE 40th Conference on Local Computer Networks (LCN). IEEE, 2015. http://dx.doi.org/10.1109/lcn.2015.7366350.
Texto completo da fonteRelatórios de organizações sobre o assunto "The UAV placement problem"
Ratmanski, Kiril, e Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), outubro de 2022. http://dx.doi.org/10.21079/11681/45680.
Texto completo da fonteVlasenko, Kateryna V., Sergei V. Volkov, Daria A. Kovalenko, Iryna V. Sitak, Olena O. Chumak e Alexander A. Kostikov. Web-based online course training higher school mathematics teachers. [б. в.], julho de 2020. http://dx.doi.org/10.31812/123456789/3894.
Texto completo da fonteGinzel. L51748 Detection of Stress Corrosion Induced Toe Cracks-Advancement of the Developed Technique. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), março de 1996. http://dx.doi.org/10.55274/r0010659.
Texto completo da fonteShe, Ruifeng, e Yanfeng Ouyang. Generalized Link-Cost Function and Network Design for Dedicated Truck-Platoon Lanes to Improve Energy, Pavement Sustainability, and Traffic Efficiency. Illinois Center for Transportation, novembro de 2021. http://dx.doi.org/10.36501/0197-9191/21-037.
Texto completo da fontePhilosoph-Hadas, Sonia, Peter Kaufman, Shimon Meir e Abraham Halevy. Signal Transduction Pathway of Hormonal Action in Control and Regulation of the Gravitropic Response of Cut Flowering Stems during Storage and Transport. United States Department of Agriculture, outubro de 1999. http://dx.doi.org/10.32747/1999.7695838.bard.
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