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Relevant bibliographies by topics / Docking

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Academic literature on the topic 'Docking'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 March 2025

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Journal articles on the topic "Docking"

1

Wang, Kai, Nan Lyu, Hongjuan Diao, Shujuan Jin, Tao Zeng, Yaoqi Zhou, and Ruibo Wu. "GM-DockZn: a geometry matching-based docking algorithm for zinc proteins." Bioinformatics 36, no. 13 (May 5, 2020): 4004–11. http://dx.doi.org/10.1093/bioinformatics/btaa292.

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Abstract Motivation Molecular docking is a widely used technique for large-scale virtual screening of the interactions between small-molecule ligands and their target proteins. However, docking methods often perform poorly for metalloproteins due to additional complexity from the three-way interactions among amino-acid residues, metal ions and ligands. This is a significant problem because zinc proteins alone comprise about 10% of all available protein structures in the protein databank. Here, we developed GM-DockZn that is dedicated for ligand docking to zinc proteins. Unlike the existing docking methods developed specifically for zinc proteins, GM-DockZn samples ligand conformations directly using a geometric grid around the ideal zinc-coordination positions of seven discovered coordination motifs, which were found from the survey of known zinc proteins complexed with a single ligand. Results GM-DockZn has the best performance in sampling near-native poses with correct coordination atoms and numbers within the top 50 and top 10 predictions when compared to several state-of-the-art techniques. This is true not only for a non-redundant dataset of zinc proteins but also for a homolog set of different ligand and zinc-coordination systems for the same zinc proteins. Similar superior performance of GM-DockZn for near-native-pose sampling was also observed for docking to apo-structures and cross-docking between different ligand complex structures of the same protein. The highest success rate for sampling nearest near-native poses within top 5 and top 1 was achieved by combining GM-DockZn for conformational sampling with GOLD for ranking. The proposed geometry-based sampling technique will be useful for ligand docking to other metalloproteins. Availability and implementation GM-DockZn is freely available at www.qmclab.com/ for academic users. Supplementary information Supplementary data are available at Bioinformatics online.

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Salih, Twana Mohsin. "A Comparative Study for the Accuracy of Three Molecular Docking Programs Using HIV-1 Protease Inhibitors as a Model." Iraqi Journal of Pharmaceutical Sciences ( P-ISSN 1683 - 3597 E-ISSN 2521 - 3512) 31, no. 2 (December 24, 2022): 160–68. http://dx.doi.org/10.31351/vol31iss2pp160-168.

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Flexible molecular docking is a computational method of structure-based drug design to evaluate binding interactions between receptor and ligand and identify the ligand conformation within the receptor pocket. Currently, various molecular docking programs are extensively applied; therefore, realizing accuracy and performance of the various docking programs could have a significant value. In this comparative study, the performance and accuracy of three widely used non-commercial docking software (AutoDock Vina, 1-Click Docking, and UCSF DOCK) was evaluated through investigations of the predicted binding affinity and binding conformation of the same set of small molecules (HIV-1 protease inhibitors) and a protein target HIV-1 protease enzyme. The tested sets are composed of eight receptor-ligand complexes with high resolution crystal structures downloaded from Protein Data Bank website. Molecular dockings were applied between approved HIV-1 protease inhibitors and the HIV-1 protease using AutoDock Vina, 1-Click Docking, and DOCK6. Then, docking poses of the top-ranked solution was realized using UCSF Chimera. Furthermore, Pearson correlation coefficient (r) and coefficient of determination (r2) between the experimental results and the top scored docking results of each program were calculated using Graphpad prism V9.2. After comparing saquinavir top scored binding poses of each docking program with the crystal structure, various conformational changes were observed. Moreover, according to the relative comparison between the top ranked calculated ?Gbinding values against the experimental results, r2 value of AutoDock Vina, 1-Click Docking, and DOCK6 were 0.65, 0.41, and 0.005, respectively. The outcome of this study shows that the top scored binding free energy could not produce the best pose prediction. In addition, AutoDock Vina results have the highest correlation with the experimental results.

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Bebić, Dragan, Ladislav Stazić, Antonija Mišura, and Ivan Komar. "EDD – Economic Benefit Analysis of Extending Dry Docking Interval." Transactions on Maritime Science 7, no. 02 (October 22, 2018): 164–73. http://dx.doi.org/10.7225/toms.v07.n02.006.

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The possibility of interval extension between two dry docking is alternatively offered to the shipowners by classification societies. Although, for now, such a possibility is limited only to certain types of ships, a significant shift has been accomplished in accordance with today's technical and technological capacities. It is quite clear that not all shipowners will accept this option, as either five-year or even mid-interval might suit them well. The option introduces an economic benefit, but requires additional preparation to withstand the full interval without negative consequences, primarily related to the protection of underwater part of the hull. The relationship of economic benefits and the cost of investment to successfully pass the complete period gives a clear view to the shipowner for the decision of accepting an extended dry docking period between two consecutive dry dockings. This paper is presenting one of the approaches to calculate feasibility of prolonging dry docking interval. Calculation example represents an economic indicator, crucial for shipowner’s decision to accept prolonged dry docking interval. The paper presents an analysis of underwater hull condition for the vessel with a composite coating. It is based on a collection of actual data registered in the period of seven years. Significant data have been derived from the analysis, allowing basic set up for theoretical assessment as well as the real justification of extended dry docking period between two consecutive dry dockings of the vessel. Some of the presented facts, related to underwater composite coating, might be used for similar calculations.

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Berenger, Francois, Ashutosh Kumar, Kam Y. J. Zhang, and Yoshihiro Yamanishi. "Lean-Docking: Exploiting Ligands’ Predicted Docking Scores to Accelerate Molecular Docking." Journal of Chemical Information and Modeling 61, no. 5 (April 16, 2021): 2341–52. http://dx.doi.org/10.1021/acs.jcim.0c01452.

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Tessaro, Francesca, and Leonardo Scapozza. "How ‘Protein-Docking’ Translates into the New Emerging Field of Docking Small Molecules to Nucleic Acids?" Molecules 25, no. 12 (June 13, 2020): 2749. http://dx.doi.org/10.3390/molecules25122749.

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In this review, we retraced the ‘40-year evolution’ of molecular docking algorithms. Over the course of the years, their development allowed to progress from the so-called ‘rigid-docking’ searching methods to the more sophisticated ‘semi-flexible’ and ‘flexible docking’ algorithms. Together with the advancement of computing architecture and power, molecular docking’s applications also exponentially increased, from a single-ligand binding calculation to large screening and polypharmacology profiles. Recently targeting nucleic acids with small molecules has emerged as a valuable therapeutic strategy especially for cancer treatment, along with bacterial and viral infections. For example, therapeutic intervention at the mRNA level allows to overcome the problematic of undruggable proteins without modifying the genome. Despite the promising therapeutic potential of nucleic acids, molecular docking programs have been optimized mostly for proteins. Here, we have analyzed literature data on nucleic acid to benchmark some of the widely used docking programs. Finally, the comparison between proteins and nucleic acid targets docking highlighted similarity and differences, which are intrinsically related to their chemical and structural nature.

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Cakici, Serdar, Selcuk Sumengen, Ugur Sezerman, and Selim Balcisoy. "DockPro: A VR-Based Tool for Protein-Protein Docking Problem." International Journal of Virtual Reality 8, no. 2 (January 1, 2009): 19–23. http://dx.doi.org/10.20870/ijvr.2009.8.2.2720.

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Proteins are large molecules that are vital for all living organisms and they are essential components of many industrial products. The process of binding a protein to another is called protein-protein docking. Many automated algorithms have been proposed to find docking configurations that might yield promising protein-protein complexes. However, these automated methods are likely to come up with false positives and have high computational costs. Consequently, Virtual Reality has been used to take advantage of user's experience on the problem; and proposed applications can be further improved. Haptic devices have been used for molecular docking problems; but they are inappropriate for protein-protein docking due to their workspace limitations. Instead of haptic rendering of forces, we provide a novel visual feedback for simulating physicochemical forces of proteins. We propose an interactive 3D application, DockPro, which enables domain experts to come up with dockings of protein-protein couples by using magnetic trackers and gloves in front of a large display.

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Sellers, Michael S., and Margaret M. Hurley. "XPairIt Docking Protocolfor peptide docking and analysis." Molecular Simulation 42, no. 2 (April 23, 2015): 149–61. http://dx.doi.org/10.1080/08927022.2015.1025267.

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Rabar, Denis, Danijela Rabar, and Duško Pavletić. "Two-Step Manufacturing Process Measurement Model Using Qualitative and Quantitative Data—A Case of Newbuilding Dry-Docking." Journal of Marine Science and Engineering 9, no. 5 (April 25, 2021): 464. http://dx.doi.org/10.3390/jmse9050464.

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Newbuilding dry-docking is a part of the shipbuilding manufacturing process, common for vessels built on slipways. The subject of this research is steel-built vessels intended for non-restricted sea-going navigation. Based on former experience, the necessity of the dry-docking projects measurement has been noted as a managerial tool for performance estimation and project comparison. The dry-docking project is a complex task which includes the first self-propelled sea passage and the transfer of the manufacturing process to a remote place. The dry-docking result is a surveyed and coated vessel ready for sea trials and five-year service until the next dry-docking. This paper deals with a model which enables process measurement using the analytic hierarchy process (AHP) method for qualitative data related to the dry-docking places and data envelopment analysis (DEA) for quantitative data related to the vessels’ technical and cost data. The modelled data are collected from the completed dry-dockings, and the twenty-nine studied vessels represent the decision-making units (DMU) used in two-step process measurement calculations. The obtained results can distinguish the efficient DMUs, which create an efficient frontier as benchmarks or “the best practice units” in the given DMU set. For the non-efficient DMUs, the efficiency score and rate of improvements needed to reach the efficient frontier will be calculated, and the sources of inefficiency will be recognized.

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Yoon. "Docking Time." Transition, no. 115 (2014): 116. http://dx.doi.org/10.2979/transition.115.116.

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Sheppard, Terry L. "Docking PCNA." Nature Chemical Biology 8, no. 5 (April 17, 2012): 410. http://dx.doi.org/10.1038/nchembio.948.

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Dissertations / Theses on the topic "Docking"

1

Zhang, Mei. "Cross-docking network design." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/21685.

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Iakovou, Georgios. "Simulating molecular docking with haptics." Thesis, University of East Anglia, 2015. https://ueaeprints.uea.ac.uk/59468/.

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Intermolecular binding underlies various metabolic and regulatory processes of the cell, and the therapeutic and pharmacological properties of drugs. Molecular docking systems model and simulate these interactions in silico and allow the study of the binding process. In molecular docking, haptics enables the user to sense the interaction forces and intervene cognitively in the docking process. Haptics-assisted docking systems provide an immersive virtual docking environment where the user can interact with the molecules, feel the interaction forces using their sense of touch, identify visually the binding site, and guide the molecules to their binding pose. Despite a forty-year research e�ort however, the docking community has been slow to adopt this technology. Proprietary, unreleased software, expensive haptic hardware and limits on processing power are the main reasons for this. Another signi�cant factor is the size of the molecules simulated, limited to small molecules. The focus of the research described in this thesis is the development of an interactive haptics-assisted docking application that addresses the above issues, and enables the rigid docking of very large biomolecules and the study of the underlying interactions. Novel methods for computing the interaction forces of binding on the CPU and GPU, in real-time, have been developed. The force calculation methods proposed here overcome several computational limitations of previous approaches, such as precomputed force grids, and could potentially be used to model molecular exibility at haptic refresh rates. Methods for force scaling, multipoint collision response, and haptic navigation are also reported that address newfound issues, particular to the interactive docking of large systems, e.g. force stability at molecular collision. The i ii result is a haptics-assisted docking application, Haptimol RD, that runs on relatively inexpensive consumer level hardware, (i.e. there is no need for specialized/proprietary hardware).

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Atkovska, Kalina, Sergey A. Samsonov, Maciej Paszkowski-Rogacz, and M. Teresa Pisabarro. "Multipose Binding in Molecular Docking." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-147177.

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Molecular docking has been extensively applied in virtual screening of small molecule libraries for lead identification and optimization. A necessary prerequisite for successful differentiation between active and non-active ligands is the accurate prediction of their binding affinities in the complex by use of docking scoring functions. However, many studies have shown rather poor correlations between docking scores and experimental binding affinities. Our work aimed to improve this correlation by implementing a multipose binding concept in the docking scoring scheme. Multipose binding, i.e., the property of certain protein-ligand complexes to exhibit different ligand binding modes, has been shown to occur in nature for a variety of molecules. We conducted a high-throughput docking study and implemented multipose binding in the scoring procedure by considering multiple docking solutions in binding affinity prediction. In general, improvement of the agreement between docking scores and experimental data was observed, and this was most pronounced in complexes with large and flexible ligands and high binding affinities. Further developments of the selection criteria for docking solutions for each individual complex are still necessary for a general utilization of the multipose binding concept for accurate binding affinity prediction by molecular docking.

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Huggins, David John. "Multiscale docking using evolutionary optimisation." Thesis, University of Oxford, 2005. http://ora.ox.ac.uk/objects/uuid:f166d5ec-5085-48b9-838a-626f754f73fb.

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Molecular docking algorithms are computational methods that predict the binding site and docking pose of specified ligands with a protein target. They have proliferated in recent years, due to the explosion of structural data in biology. Oxdock is an algorithm that uses various techniques to simplify this complex task, the most significant being the use of a multiscale approach to analyse the problem using a simple representation in the early stages. Oxdock is shown to be a very useful tool in computational biology, as exemplified by two cases. The first case is the analysis of the NMDA subclass of neuronal glutamate receptors and the subsequent elucidation of their function. The second is the investigation of the newly discovered plant glutamate receptors and the clarification of their natural ligands. The results in both instances open new areas of research into exciting areas of biology. Despite its effectiveness in solving many problems, Oxdock does fail in a number of circumstances. It is thus important to devise a new and improved method for molecular docking. This is achieved by combining the speed of the multiscale approach with the optimising ability of Evolutionary Programming. This yields an algorithm that is shown to be precise, accurate and specific. The new algorithm, Eve, is then modified to illustrate its potential in both lead optimisation and de novo drug design. These capacities, combined with its ability to predict the location of binding sites and the docking pose of a ligand, highlight the promise of computational methods in solving problems in many areas of biological chemistry.

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Ремыга, Ю. С. "Технология cross-docking – особенности применения." Thesis, Национальный авиационный университет, 2010. https://er.nau.edu.ua/handle/NAU/46688.

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Кросс-докинг представляет собой логистическую технологию, при которой разгрузка товара внутри склада и его последующая доставка получателю максимально согласованы по времени. Это позволяет практически полностью устранить из цепи поставок складское хранение. Таким образом, кросс-докинг — реальная возможность существенно снизить расходы на складскую логистику. Основное преимущество кросс-докинга заключается в существенной экономии логистических затрат: практически устраняются затраты на хранение товара, снижается потребность организации-грузополучателя в складских площадях и складском персонале, отсутствие складского хранения значительно сокращает время поставки от производителя до конечной точки продажи, что повышает скорость товаропотока. Это особенно актуально для товаров, имеющих ограниченный срок годности, исчисляемый несколькими сутками, поскольку при формировании крупных партий на складе по завершении срока реализации, присутствуют остатки, являющиеся прямыми потерями. При использовании кросс-докинга заказы для поставщика формируются строго под потребности конечного покупателя. В результате нет потерь по срокам годности и нет затоваривания.

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BOCZAR, LUDVIG, and JONATHAN PERNOW. "Autonomous Docking of Electric Boat." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299765.

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In recreational boating, docking is one of the most stressful and accident prone situations. Due to the loss of maneuverability at low speeds, it is a procedure that requires experience. There are mainly two problems when it comes to autonomous docking of a boat, these are identifying a berth’s position as well as keeping the boat on its intended path and correcting any deviations. Autonomous docking in recreational boating is still quite uncommon, with companies still exploring different solutions. This thesis proposes a Model Predictive Control (MPC) system combined with Pulsed Coherent Radar technology, equipped on an under-actuated boat model, to achieve autonomous docking. A major part of this thesis was to evaluate the amount and placement of radar sensors, as well as determining whether these are suitable in a water environment. In order to test this, the sensors were placed alongside the hull of the boat. It was found that the placement of sensors had a bigger impact than the amount when it came to correctly detecting the position of a berth. Once the placement of sensors and the berth position algorithmhad been done, a closed-loop MPC was used. This controller got constant feedback of the boat’s position relative the berth, in order to calculate the thruster control inputs for the next time step. The developed autonomous docking system was then implemented on the boat which was tested in a swimming pool. The optimal radar configuration combined withMPC, made it possible to successfully dock a boat autonomously without any modification to the berth.
För fritidsbåtlivet är tilläggning en av demest stressfulla och olycksbenägna situationerna. På grund av förlust av manövrering vid låga hastigheter är det en procedur som kräver erfarenhet. Det finns främst två problem när det kommer till autonom tilläggning, det är att identifiera positionen av en brygga såväl som att hålla båten på den avsedda kursen och rätta till små avvikelser. Autonom tilläggning för fritidsbåtlivet är fortfarande rätt ovanligt och företag utforskar fortfarande olika lösningar. Denna avhandling föreslår ett Modellprediktivt Reglersystem (MPC) kombinerat med Pulserad Koherent Radarteknik som är utrustad på en underaktuerad båtmodell för att uppnå autonom tilläggning. En stor del av avhandlingen var att utvärdera antalet och placeringen av radarsensorer, såväl som att fastställa om dessa är lämpliga att användas i en vattenmiljö. För att undersöka detta placerades sensorerna längs med båtens skrov. Det konstaterades att placeringen av sensorer hade en större påverkan än mängden när det kom till att läsa av positionen av bryggan korrekt. När placeringen av sensorer och bryggpositionsalgoritmen var klar användes MPC med återkoppling. Denna regulator fick konstant återkoppling av båtens position relativt bryggan för att räkna ut styrsignal till motorerna för nästa tidssteg. Den utvecklade autonoma tilläggningen var sedan implementerad på båten som testades i en pool. Den optimala radarplaceringen kombinerat med MPC gjorde det möjligt att med framgång kunna lägga till båten autonomt utan modifiering av bryggan.

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Švehlová, Zuzana. "Cross-docking ako distribučná metóda." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-73809.

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The current logistics chains must be designed to copy with short life cycles of products, high stock velocity, low degree of predictability etc. The conditions for accuracy, reliability and flexibility of deliveries at the markets have been changing, and that is why it is inevitable to seek new alternative methods that would lead to higher efficiency levels, remaining competitiveness and, at the same time, fulfil the needs and wishes of customers. In this paper I focuse on cross-docking which is a newer distribution method. In the first part of the paper, I try to determine the principles of this operation in distribution, identify individual types of cross-docking and in detail describe the assumptions and conditions under which the method should be implemented to reach the requested results. The paper then continues with an analysis of the current position of cross-docking and there are given several examples of demand driven supply chains that have been using this distribution method at a certain point. These examples are followed with a discussion on current options and problems of implementing cross-docking in the case of retailers and manufacturers.

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Zöllner, Frank G. "Enhancing protein-protein docking by new approaches to protein flexibility and scoring of docking hypotheses." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=972854142.

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Genheden, Samuel. "A fast protein-ligand docking method." Thesis, University of Skövde, School of Humanities and Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-69.

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In this dissertation a novel approach to protein-ligand docking is presented. First an existing method to predict putative active sites is employed. These predictions are then used to cut down the search space of an algorithm that uses the fast Fourier transform to calculate the geometrical and electrostatic complementarity between a protein and a small organic ligand. A simplified hydrophobicity score is also calculated for each active site. The docking method could be applied either to dock ligands in a known active site or to rank several putative active sites according to their biological feasibility. The method was evaluated on a set of 310 protein-ligand complexes. The results show that with respect to docking the method with its initial parameter settings is too coarse grained. The results also show that with respect to ranking of putative active sites the method works quite well.

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Thörn, Victor. "Cross-docking i teori och praktiken." Thesis, Mälardalens högskola, Innovation och produktrealisering, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-37251.

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Books on the topic "Docking"

1

Daheim, Mary. Dead Man Docking. New York: HarperCollins, 2007.

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Docking, Shay. Shay Docking drawings. Roseville, NSW: Beagle Press, 1990.

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Syromi͡atnikov, V. S. Spacecraft docking devices. Princeton, N.J. (P.O. Box 82, Princeton 08542): Space Studies Institute, 1990.

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Kaczor, Agnieszka A., ed. Protein-Protein Docking. New York, NY: Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3985-6.

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Horn, Erica Van. Docking competitions 1991-95. Docking: Coracle, 1995.

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de Azevedo, Walter Filgueira, ed. Docking Screens for Drug Discovery. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9752-7.

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Arthur, Morton, and Canada. Dept. of Agriculture. Sheep and Goat Division., eds. Value of castration and docking. Ottawa: Dept. of Agriculture, 1997.

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Besse, Andreas. Produktivitätssteigerung von Cross-Docking-Centern mit RFID. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-22372-4.

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Anthony, Ambrosio, and United States. National Aeronautics and Space Administration., eds. MSFC three point docking mechanism design review. Bethpage, NY: Grumman Aerospace Corporation, 1992.

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Daheim, Mary. Dead man docking: A bed-and-breakfast mystery. Waterville, Me: Thorndike Press, 2005.

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Book chapters on the topic "Docking"

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Prieto, Juan Manuel, Gustavo Schottlender, Camila M. Clemente, Rafael Betanzos, Dario Fernández Do Porto, and Marcelo A. Marti. "Docking and Bias Docking." In Computer-Aided Drug Discovery and Design, 127–48. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-69162-1_5.

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Chua, Charmaine. "Docking." In The Routledge Handbook of Ocean Space, 126–37. London: Routledge, 2022. http://dx.doi.org/10.4324/9781315111643-13.

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Chua, Charmaine. "Docking." In The Routledge Handbook of Ocean Space, 126–37. London: Routledge, 2022. http://dx.doi.org/10.4324/9781315111643-13.

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Krupa, Magdalena A., and Paweł Krupa. "Free-Docking and Template-Based Docking: Physics Versus Knowledge-Based Docking." In Protein-Protein Docking, 27–41. New York, NY: Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3985-6_3.

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Kuder, Kamil J. "Docking Foundations: From Rigid to Flexible Docking." In Protein-Protein Docking, 3–14. New York, NY: Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3985-6_1.

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Nocek, Judith M., and Brian M. Hoffman. "Dynamic Docking." In Encyclopedia of Biophysics, 534–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-16712-6_17.

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Morris, Garrett M., and Marguerita Lim-Wilby. "Molecular Docking." In Methods in Molecular Biology, 365–82. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-177-2_19.

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Banaganapalli, Babajan, Fatima A. Morad, Muhammadh Khan, Chitta Suresh Kumar, Ramu Elango, Zuhier Awan, and Noor Ahmad Shaik. "Molecular Docking." In Essentials of Bioinformatics, Volume I, 335–53. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02634-9_15.

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Evans, Charles. "Robotic Docking." In Robotic Colorectal Surgery, 13–25. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15198-9_2.

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Bhandari, Amit, and Vibin Ramakrishnan. "Molecular Docking." In Springer Protocols Handbooks, 7–16. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3405-9_2.

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Conference papers on the topic "Docking"

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Lion, Luca, Francesco Branz, Alex Caon, Martina Imperatrice, Matteo Veronese, Marco Ghedin, Mattia Peruffo, et al. "DOCKS: Docking System for Microsatellites." In 31st IAA Symposium on Small Satellite Missions, Held at the 75th International Astronautical Congress (IAC 2024), 1635–41. Paris, France: International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078365-0176.

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Dahn, Nikolas, Christopher Gaudig, Tim Lehr, Niklas Pech, Peter Kampmann, Leif Christensen, and Frank Kirchner. "Autonomous Docking between a Mobile Subsea Docking Station and an AUV while in Motion." In OCEANS 2024 - Halifax, 1–9. IEEE, 2024. http://dx.doi.org/10.1109/oceans55160.2024.10754460.

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Chan, Kah Whye, Xuguang Leonard Gan, Angela Chng, and Hamid Saeedipour. "Smart Docking System for Surveillance Cameras." In 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/iciea61579.2024.10664747.

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Christiansen, Scott, and Troy Nilson. "Docking System for Autonomous, Un-manned Docking Operations." In 2008 IEEE Aerospace Conference. IEEE, 2008. http://dx.doi.org/10.1109/aero.2008.4526517.

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Kang, Yonggang, Huan Xiao, Yong-gang Chen, Si-ren Song, and Tian-yu Wang. "Precise Docking Algorithm for Typical Barrel Component Docking Process." In 2023 3rd International Conference on Computer, Control and Robotics (ICCCR). IEEE, 2023. http://dx.doi.org/10.1109/icccr56747.2023.10193979.

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Shibata, Hirohito, and Kengo Omura. "Docking window framework." In the 10th asia pacific conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2350046.2350092.

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Christensen, Magnus Haugom, and Eric Jul. "Demo of docking." In ECOOP '16: European Conference on Object-Oriented Programming. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3012408.3012419.

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Du, Xiaoxu, and Huan Wang. "Analysis of Hydrodynamic Characteristics in the Process of Autonomous Underwater Vehicle Docking." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-42323.

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Abstract:

The successful operation of an Autonomous Underwater Vehicle (AUV) requires the capability to return to a dock. A number of underwater docking technologies have been proposed and tested in the past. The docking allows the AUV to recharge its batteries, download data and upload new instructions, which is helpful to improve the working time and efficiency. During the underwater docking process, unsteady hydrodynamic interference occurs between the docking device and an AUV. To ensure a successful docking, it is very important that the underwater docking hydrodynamics of AUV is understood. In this paper, numerical simulations based on the computational fluid dynamics (CFD) solutions were carried out for a 1.85m long AUV with maximum 0.2 m in diameter during the docking process. The two-dimensional AUV model without fin and rudder was used in the simulation. The mathematical model based on the Reynolds-averaged Navier-Stokes (RANS) equations was established. The finite volume method (FVM) and the dynamic structured mesh technique were used. SIMPLE algorithm and the k-ε turbulence model in the Descartes coordinates were also adopted. The hydrodynamics characteristics of different docking states were analyzed, such as the different docking velocity, the docking device including baffle or not. The drag coefficients of AUV in the process of docking were computed for various docking conditions, i.e., the AUV moving into the docking in the speed of 1m/s, 2m/s, 5m/s. The results indicate that the drag coefficient increases slowly in the process of AUV getting close to the docking device. When the AUV moves into the docking device, the drag coefficient increases rapidly. Then the drag coefficient decreases rapidly. The drag coefficient decreases with the increase of velocity when AUV enters the docking device. It was also found that the drag coefficient can be effectively reduced by dislodging the baffle of docking device.

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Maurelli, Francesco, Yvan Petillot, Angelos Mallios, Szymon Krupinski, Rudolf Haraksim, and Panagiotis Sotiropoulos. "Investigation of portability of space docking techniques for autonomous underwater docking." In OCEANS 2009-EUROPE (OCEANS). IEEE, 2009. http://dx.doi.org/10.1109/oceanse.2009.5278115.

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Ritter, Greg, Anthony Hays, Greg Wassick, Greg Sypitkowski, Carl Nardell, Pete Tchory, and Jane Pavlich. "Autonomous satellite docking system." In AIAA Space 2001 Conference and Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-4527.

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Reports on the topic "Docking"

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von Alt, Christopher, and Roger Stokey. Autonomous Network Docking Node. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada628673.

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Jatko, W. B., J. S. Goddard, R. K. Ferrell, S. S. Gleason, J. S. Hicks, and V. K. Varma. Crusader Automated Docking System Phase 3 report. Office of Scientific and Technical Information (OSTI), March 1996. http://dx.doi.org/10.2172/230272.

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Skone, Timothy J. LNG Tanker, 130000 m3, Docking-Berthing-Deberthing. Office of Scientific and Technical Information (OSTI), October 2010. http://dx.doi.org/10.2172/1509286.

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An, Edgar, and William E. Baxley. Multi-User Autonomous Underwater Vehicle Docking Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada629522.

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Jatko, W. B., J. S. Goddard, S. S. Gleason, and R. K. Ferrell. Docking automation related technology, Phase 2 report. Office of Scientific and Technical Information (OSTI), April 1995. http://dx.doi.org/10.2172/101114.

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Smith, Samuel M., and Stanley E. Dunn. Enhancing AUV Operational Capabilities: Hovering, Rendezvous, and Docking. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada628288.

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Morris, Garrett, M., Richard K. Belew, Chris Rosin, and William Eugene Hart. Evolutionary hybrids for flexible ligand docking : (electronic notes). Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/1028898.

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Judson, R. S., E. P. Jaeger, and A. M. Treasurywala. A genetic algorithm based method for docking flexible molecules. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10132318.

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Cowen, Steve, Susan Briest, and James Dombrowski. Underwater Docking of Autonomous Undersea Vehicles Using Optical Terminal Guidance. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada422445.

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Wasiczko, Linda M., Harris R. Burris, N. G. Creamer, Rita Mahon, Christopher Moore, Lee Swingen, James Murphy, Mena Stell, Brad E. Pinney, and Peter Goetz. Optical Communication and Navigation for Spacecraft Docking using Modulating Retroreflectors. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada464970.

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