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Статті в журналах з теми "Motion Capture Analysis Optimization"
JOÃO, FILIPA, ANTÓNIO VELOSO, SANDRA AMADO, PAULO ARMADA-DA-SILVA, and ANA C. MAURÍCIO. "CAN GLOBAL OPTIMIZATION TECHNIQUE COMPENSATE FOR MARKER SKIN MOVEMENT IN RAT KINEMATICS?" Journal of Mechanics in Medicine and Biology 14, no. 05 (August 2014): 1450065. http://dx.doi.org/10.1142/s0219519414500651.
Повний текст джерелаFerryanto, F., Andi Isra Mahyuddin, and Motomu Nakashima. "DEVELOPMENT OF A MARKERLESS OPTICAL MOTION CAPTURE SYSTEM BY AN ACTION SPORTS CAMERA FOR RUNNING MOTION." ASEAN Engineering Journal 12, no. 2 (June 1, 2022): 37–44. http://dx.doi.org/10.11113/aej.v12.16760.
Повний текст джерелаPing, An, Jian Wang, Ruofan Xiao, Renying Liu, Yanan Chang, and Qingmin Li. "Trap Parameters Optimization Based on Metal Particle Dynamic Simulation Method." Symmetry 14, no. 6 (June 9, 2022): 1187. http://dx.doi.org/10.3390/sym14061187.
Повний текст джерелаChen, Peng, Ping Jun Xia, Yue Dong Lang, and Ying Xue Yao. "A Human-Centered Virtual Assembly System." Applied Mechanics and Materials 16-19 (October 2009): 796–800. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.796.
Повний текст джерелаWang, Yong, Jing Cao, Nan Ye, Shouming Sun, Junfeng Li, and Zhenyong Bo. "Cooperative capture trajectory optimization of multi-space robots using an improved multi-objective fruit fly algorithm." Open Astronomy 31, no. 1 (January 1, 2022): 405–16. http://dx.doi.org/10.1515/astro-2022-0198.
Повний текст джерелаLi, Shun, Liqing Cui, Changye Zhu, Baobin Li, Nan Zhao, and Tingshao Zhu. "Emotion recognition using Kinect motion capture data of human gaits." PeerJ 4 (September 15, 2016): e2364. http://dx.doi.org/10.7717/peerj.2364.
Повний текст джерелаSimonetto, Enrico, Andrea Ghiotti, and Stefania Bruschi. "Feasibility of Motion-Capture Techniques Applied to Tube Bending." Key Engineering Materials 651-653 (July 2015): 1128–33. http://dx.doi.org/10.4028/www.scientific.net/kem.651-653.1128.
Повний текст джерелаBao, Hongshu, and Xiang Yao. "Human Motion Data Retrieval Based on Staged Dynamic Time Deformation Optimization Algorithm." Complexity 2020 (December 14, 2020): 1–11. http://dx.doi.org/10.1155/2020/6650924.
Повний текст джерелаSun, Chong, and Xiaolei Hou. "Passive impact/vibration control and isolation performance optimization for space noncooperative target capture." International Journal of Advanced Robotic Systems 17, no. 1 (January 1, 2020): 172988141989538. http://dx.doi.org/10.1177/1729881419895388.
Повний текст джерелаIaboni, Craig, Deepan Lobo, Ji-Won Choi, and Pramod Abichandani. "Event-Based Motion Capture System for Online Multi-Quadrotor Localization and Tracking." Sensors 22, no. 9 (April 23, 2022): 3240. http://dx.doi.org/10.3390/s22093240.
Повний текст джерелаДисертації з теми "Motion Capture Analysis Optimization"
Cockcroft, Stephen John. "An evaluation of inertial motion capture technology for use in the analysis and optimization of road cycling kinematics." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6760.
Повний текст джерелаENGLISH ABSTRACT: Optical motion capture (Mocap) systems measure 3D human kinematics accurately and at high sample rates. One of the limitations of these systems is that they can only be used indoors. However, advances in inertial sensing have led to the development of inertial Mocap technology (IMCT). IMCT measures kinematics using inertial measurement units (IMUs) attached to a subject's body without the need for external sensors. It is thus completely portable which opens up new horizons for clinical Mocap. This study evaluates the use of IMCT for improving road cycling kinematics. Ten male sub-elite cyclists were recorded with an IMCT system for one minute while cycling at 2, 3.5 and 5.5 W.kg-1 on a stretch of road and on a stationary trainer. A benchmark test was also done where cycling kinematics was measured simultaneously with the IMCT and a gold-standard Vicon optical system. The first goal was to assess the feasibility of conducting field measurements of cycling kinematics. Magnetic analysis results showed that the IMUs near the pedals and handlebars experienced significant magnetic interference (up to 50% deviation in intensity) from ferrous materials in the road bicycles, causing significant errors in kinematic measurement. Therefore, it was found that the IMCT cannot measure accurate full-body kinematics with the subject on a road bicycle. However, the results of the benchmark test with the Vicon showed that the IMCT can still measure accurate hip (root mean square error (RMSE) < 1°), knee (RMSE < 3.5°) and ankle (RMSE < 3°) flexion using its Kinematic Coupling algorithm. The second goal was to determine whether there is a significant difference between road cycling kinematics captured on the road and in a laboratory. The outdoor flexion results were significantly different to the indoor results, especially for minimum flexion (P < 0.05 for all joints). Changes in rider kinematics between high and low power were also found to have significantly more variability on the road (R2 = 0.36, 0.61, 0.08) than on the trainer (R2 = 0.93, 0.89, 0.56) for the hip, knee and ankle joints respectively. These results bring into question the ecological validity of laboratory cycling. Lastly, applications of IMCT for optimizing cycling performance were to be identified. Several aspects of kinematic analysis and performance optimization using the IMCT were evaluated. It was determined that IMCT is most suited for use as a dynamic bicycle fitting tool for analysis of biomechanical efficiency, bilateral asymmetry and prevention of overuse injuries. Recommendations for future work include the elimination of the magnetic interference and integration of the IMCT data with kinetic measurements to develop an outdoor dynamic fitting protocol.
AFRIKAANSE OPSOMMING: Optiese bewegingswaarnemingstelsels (BWS) meet drie-dimensionele menslike kinematika met hoë akkuraatheid en teen hoë monstertempo's. Een van die nadele van BWS is dat hulle slegs binnenshuis gebruik kan word. Onlangse ontwikkelings in sensor tegnologie het egter gelei na die beskikbaarheid van traagheids-BWS-tegnologie (TBT). TBT gebruik traagheidsmetingseenhede (TMEs) wat aan 'n persoon se liggaam aangeheg kan word om die kinematika te verkry sonder enige eksterne sensore. TBT is dus volkome draagbaar, wat nuwe geleenthede skep vir kliniese bewingsanalises. Hierdie projek evalueer die gebruik van TBT vir die verbetering van fietsry kinematika. Tien kompeterende fietsryers (manlik) was getoets met 'n TBT terwyl hulle teen 2, 3.5 and 5.5 W.kg-1 gery het op 'n pad, en op 'n stilstaande oefenfietsraam. 'n Maatstaftoets was ook uitgevoer waar fietsry-kinematika gelyktydig met die TBT en die Vicon optiese BWS opgeneem was. Die eerste doel van die navorsing was om die moontlikheid te ondersoek of fietsryer kinematika op die pad gemeet kan word. Die resultate toon dat die ferro-magnetiese materiale wat in meeste padfietse voorkom, 'n beduidende magnetiese steuring (tot 50% afwyking in intensiteit) op die TMEs naby die pedale en handvatsels veroorsaak, wat lei tot aansienlike foute in die kinematiese metings. Gevolglik was dit gevind dat die TBT nie volle-liggaam kinematika op 'n fiets kan meet nie. Nogtans, het die resultate van die Vicon maatstaftoets bewys dat die TBT nog steeds akkurate heup (wortel van die gemiddelde kwadraad fout (WGKF) < 1°), knie (WGKF < 4°) en enkel (WGKF < 3°) fleksie kan meet met die “Kinematiese Koppeling” algoritme. Die tweede doel was om te bepaal of daar 'n beduidende verskil tussen die laboratorium en pad fietsry-kinematika is. Die buitelug fleksie data het beduidend verskil van die binnenshuise resultate, veral vir minimum fleksie (P < 0.05 vir alle gewrigte). Veranderinge in fietsryer kinematika tussen hoë en lae krag het ook beduidend meer variasie op die pad (R2 = 0.36, 0.61, 0.08) as op die oefenfietsraam (R2 = 0.93, 0.89, 0.56) vir die heup, knie en enkel gewrigte, onderskeidelik, gehad. Hierdie resultate bevraagteken die ekologiese geldigheid van kinematiese toetse op fietsryers in 'n laboratorium. 'n Laaste doel was om die toepassings van TBT vir die optimering van fietsry kinematika te ondersoek. 'n Verskeidenheid aspekte van die analise en verbetering van fietsry kinematika met die TBT word bespreek. Die gevolgtrekking is dat TBT geskik is vir gebruik as 'n dinamiese instrument vir die analise van biomeganiese doetreffendheid, bilaterale asimmetrie en die voorkoming van beserings. Aanbevelings vir toekomstige werk, sluit in die uitskakeling van die magnetiese inmenging, asook die integrasie van die TBT data met kinetiese metings.
Xiao, Zhidong. "Motion capture based motion analysis and motion synthesis for human-like character animation." Thesis, Bournemouth University, 2009. http://eprints.bournemouth.ac.uk/14590/.
Повний текст джерелаFrick, Eric. "Joint center estimation by single-frame optimization." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6575.
Повний текст джерелаLindequist, Jonas, and Daniel Lönnblom. "Construction of a Motion Capture System." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-24.
Повний текст джерелаMotion capture is the process of capturing movements from real life into a computer. Existing motion capture systems are often very expensive and require advanced hardware that makes the process complex. This thesis will answer the following question: is it possible to create an optical motion capture system using only a single low cost Dvcamera (Digital Video Camera), that still will produce accurate motion capture data? To answer this question and construct our motion capture system we need to complete these following steps:
• Create a usable film sequence.
• Analyze the sequence.
• Create motion capture data.
• Apply the motion capture data for 3D character and analyze the outcome.
The method chosen for this thesis is constructive research. In short terms it is the study of whether we can or cannot build a new artifact. The following theoretic tools were used in the process of creating a motion capture system: Color theory, RGB, Connected component labeling, Skeletons in 3D animation, Calculating angels using trigonometry, .x files and Quaternions. We have found that an optical motion capture system is very complex and it is hard to produce as a low budget system. Our attempt did not live up to our expectations. The idea with using only one DV camera was to simplify the system since it would require no calibration or syncronisation. It would also make the system cost efficient and more available to the general public. The single camera solution unfortunatly created a number of problems in our system. Our system does however work with less complex movements. It can produce motion capture data that is accurate enough to be used in low budget games. It is also cost effective compared to other systems on the market. The system has a very easy setup and does not need any calibration in addition to the init position.
Cloete, Teunis. "Benchmarking full-body inertial motion capture for clinical gait analysis." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/2922.
Повний текст джерелаThesis (MScEng (Mechanical and Mechatronic Engineering))--University of Stellenbosch, 2009.
Clinical gait analysis has been proven to greatly improve treatment planning and monitoring of patients suffering from neuromuscular disorders. Despite this fact, it was found that gait analysis is still largely underutilised in general patient-care due to limitations of gait measurement equipment. Inertial motion capture (IMC) is able to overcome many of these limitations, but this technology is relatively untested and is therefore viewed as adolescent. This study addresses this problem by evaluating the validity and repeatability of gait parameters measured with a commercially available, full-body IMC system by comparing the results to those obtained with alternative methods of motion capture. The IMC system’s results were compared to a trusted optical motion capture (OMC) system’s results to evaluate validity. The results show that the measurements for the hip and knee obtained with IMC compares well with those obtained using OMC – with coefficient-of-correlation (R) values as high as 0.99. Some discrepancies were identified in the ankle-joint validity results. These were attributed to differences between the two systems with regard to the definition of ankle joint and to non-ideal IMC system foot-sensor design. The repeatability, using the IMC system, was quantified using the coefficient of variance (CV), the coefficient of multiple determination (CMD) and the coefficient of multiple correlation (CMC). Results show that IMC-recorded gait patterns have high repeatability for within-day tests (CMD: 0.786-0.984; CMC: 0.881-0.992) and between-day tests (CMD: 0.771-0.991; CMC: 0.872-0.995). These results compare well with those from similar studies done using OMC and electromagnetic motion capture (EMC), especially when comparing between-day results. Finally, to evaluate the measurements from the IMC system in a clinically useful application, a neural network was employed to distinguish between gait strides of stroke patients and those of able-bodied controls. The network proved to be very successful with a repeatable accuracy of 99.4% (1/166 misclassified). The study concluded that the full-body IMC system produces sufficiently valid and repeatable gait data to be used in clinical gait analysis, but that further refinement of the ankle-joint definition and improvements to the foot sensor are required.
Dagnes, Nicole. "3D human face analysis for recognition applications and motion capture." Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2542.
Повний текст джерелаThis thesis is intended as a geometrical study of the three-dimensional facial surface, whose aim is to provide an application framework of entities coming from Differential Geometry context to use as facial descriptors in face analysis applications, like FR and FER fields. Indeed, although every visage is unique, all faces are similar and their morphological features are the same for all mankind. Hence, it is primary for face analysis to extract suitable features. All the facial features, proposed in this study, are based only on the geometrical properties of the facial surface. Then, these geometrical descriptors and the related entities proposed have been applied in the description of facial surface in pattern recognition contexts. Indeed, the final goal of this research is to prove that Differential Geometry is a comprehensive tool oriented to face analysis and geometrical features are suitable to describe and compare faces and, generally, to extract relevant information for human face analysis in different practical application fields. Finally, since in the last decades face analysis has gained great attention also for clinical application, this work focuses on musculoskeletal disorders analysis by proposing an objective quantification of facial movements for helping maxillofacial surgery and facial motion rehabilitation. At this time, different methods are employed for evaluating facial muscles function. This research work investigates the 3D motion capture system, adopting the Technology, Sport and Health platform, located in the Innovation Centre of the University of Technology of Compiègne, in the Biomechanics and Bioengineering Laboratory (BMBI)
Agarwal, Ankur. "Machine Learning for Image Based Motion Capture." Phd thesis, Grenoble INPG, 2006. http://tel.archives-ouvertes.fr/tel-00390301.
Повний текст джерелаBrownridge, Adam Mark. "Real-time motion capture for analysis and presentation within virtual environments." Thesis, Manchester Metropolitan University, 2014. http://e-space.mmu.ac.uk/326218/.
Повний текст джерелаLewis, Robert Alan. "Analysis of a self-contained motion capture garment for e-textiles." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32529.
Повний текст джерелаMaster of Science
Hanson, Andrew Todd. "Markerless Motion Capture and Analysis System to Enhance Exercise Professional Effectiveness: Preliminary Study." University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1481223866357858.
Повний текст джерелаКниги з теми "Motion Capture Analysis Optimization"
Iollo, Angelo. Shape optimization governed by the Euler equations using an adjoint method. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1993.
Знайти повний текст джерелаIollo, Angelo. Shape optimization governed by the Euler equations using an adjoint method [microform]. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.
Знайти повний текст джерелаRoss, Ron S. Planning minimum-energy paths in an off-road environment with anisotropic traversal costs and motion constraints. Monterey, Calif: Naval Postgraduate School, 1989.
Знайти повний текст джерелаDesideri, Umberto, Giampaolo Manfrida, and Enrico Sciubba, eds. ECOS 2012. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-322-9.
Повний текст джерелаLi, Ying. Motion Analysis of Soccer Ball: Dynamics Modeling, Optimization Design and Virtual Simulation. Springer Singapore Pte. Limited, 2022.
Знайти повний текст джерелаCenter, Langley Research, and Georgia Institute of Technology. School of Aerospace Engineering., eds. Singular perturbation analysis of AOTV-related trajectory optimization problems. Atlanta, GA: Georgia Institute of Technology, School of Aerospace Engineering, 1990.
Знайти повний текст джерела-W, Hou G. J., Tiwari S. N, Old Dominion University. Research Foundation., and United States. National Aeronautics and Space Administration., eds. Variational methods in sensitivity analysis and optimization for aerodynamic applications: Progress report for the period ended June 30, 1996 ... under research grant NCC1-68. Norfolk , Va: Dept. of Mechanical Engineering, College of Engineering & Technology, Old Dominion University, 1996.
Знайти повний текст джерелаLAND.TECHNIK 2022. VDI Verlag, 2022. http://dx.doi.org/10.51202/9783181023952.
Повний текст джерелаCoopersmith, Jennifer. Antecedents. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198743040.003.0002.
Повний текст джерелаЧастини книг з теми "Motion Capture Analysis Optimization"
Klempous, Ryszard, Jan Nikodem, Konrad Kluwak, Maciej Nikodem, Anna Kołcz, Paweł Gawłowski, Jerzy Rozenblit, Christopher Chiu, and Marek Olesiak. "Motion Capture Analysis Supporting Lifting Technique Optimization for Occupational Safety Diagnosis." In Computer Aided Systems Theory – EUROCAST 2019, 313–20. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45096-0_39.
Повний текст джерелаPomiersky, Philipp, Kristian Karlovic, and Thomas Maier. "Usability-Optimization of Inertial Motion Capture Systems." In Advances in Intelligent Systems and Computing, 345–55. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96071-5_37.
Повний текст джерелаRojas-Lertxundi, Sendoa, J. Ramón Fernández-López, Sergio Huerta, and Pablo Garía Bringas. "Motion Capture Systems for Jump Analysis." In Lecture Notes in Computer Science, 111–24. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19644-2_10.
Повний текст джерелаZhang, Zheng, Hock Soon Seah, and Chee Kwang Quah. "Particle Swarm Optimization for Markerless Full Body Motion Capture." In Adaptation, Learning, and Optimization, 201–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17390-5_9.
Повний текст джерелаMüller, Meinard, and Tido Röder. "A Relational Approach to Content-based Analysis of Motion Capture Data." In Human Motion, 477–506. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6693-1_20.
Повний текст джерелаFurtado, Joshua S., Hugh H. T. Liu, Gilbert Lai, Herve Lacheray, and Jason Desouza-Coelho. "Comparative Analysis of OptiTrack Motion Capture Systems." In Lecture Notes in Mechanical Engineering, 15–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17369-2_2.
Повний текст джерелаÁngel-López, Juan Pablo, and Nelson Arzola de la Peńa. "Kinematic Hand Analysis Using Motion Capture Technology." In VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014, 257–60. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13117-7_67.
Повний текст джерелаCloutier, Aimee, Robyn Boothby, and Jingzhou (James) Yang. "Motion Capture Experiments for Validating Optimization-Based Human Models." In Digital Human Modeling, 59–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21799-9_7.
Повний текст джерелаEgashira, Hiroaki, Atsushi Shimada, Daisaku Arita, and Rin-ichiro Taniguchi. "Vision-Based Motion Capture of Interacting Multiple People." In Image Analysis and Processing – ICIAP 2009, 451–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04146-4_49.
Повний текст джерелаCosta, Bernardo F., and Claudio Esperança. "Motion Capture Analysis and Reconstruction Using Spatial Keyframes." In Communications in Computer and Information Science, 48–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41590-7_3.
Повний текст джерелаТези доповідей конференцій з теми "Motion Capture Analysis Optimization"
Chen, Cheng, Yueting Zhuang, Shicong Zhao, and Yin Cheng. "Video Motion Capture by Silhouette Analysis and Pose Optimization." In Multimedia and Expo, 2007 IEEE International Conference on. IEEE, 2007. http://dx.doi.org/10.1109/icme.2007.4284565.
Повний текст джерелаAndersen, Michael S., Maxine Kwan, Michael Damsgaard, and John Rasmussen. "Application of an Optimization-Based Method for the Kinematic Analysis of a Badminton Stroke From Motion Capture Data." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-192172.
Повний текст джерелаEssomba, T., M. A. Laribi, J. P. Gazeau, G. Poisson, and S. Zeghloul. "Design and Optimization of a Master-Slave System for Tele-Echography Application." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82744.
Повний текст джерелаHariri, Mahdiar. "The Hybrid Predictive Dynamics Method for Analysis, Simulation and Prediction of Human Motion." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59998.
Повний текст джерелаHale, C., and J. Darabi. "Computational Analysis of a Microfluidic Magnetophoretic Device for DNA Isolation." In ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/fedsm2018-83482.
Повний текст джерелаHuang, Cunjun, Pradip N. Sheth, and Kevin P. Granata. "Multibody Dynamics Integrated With Muscle Models and Space-Time Constraints for Optimization of Lifting Movements." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85385.
Повний текст джерелаQiu, Shiguang, Xu Jing, Xiumin Fan, Qichang He, and Dianliang Wu. "Analysis of Influence Factors of Virtual Human Real-Time Driven Accuracy and its Optimization in Virtual Reality Environment." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12917.
Повний текст джерелаRavichandar, Harish, and Ashwin Dani. "Learning Contracting Nonlinear Dynamics From Human Demonstration for Robot Motion Planning." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9870.
Повний текст джерелаHernandez Barbosa, Jeyson Andres, Sebastian Roa Prada, Dario J. Hernandez Bolivar, Brajan Nicolas Ruiz Romero, and Oscar E. Rueda. "Motion Capture of the Selective Hand Picking Movements As the Basis for the Design of Mechanically Assisted Picking Tools in Coffee Plantations in Colombia." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88428.
Повний текст джерелаKhandekar, Aditya, Jackson Wills, Meng (Rachel) Wang, and Perry Y. Li. "Incorporating Valve Switching Losses Into a Static Optimal Control Algorithm for the Hybrid Hydraulic-Electric Architecture (HHEA)." In ASME/BATH 2021 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/fpmc2021-69045.
Повний текст джерелаЗвіти організацій з теми "Motion Capture Analysis Optimization"
Amirav, Aviv, and Steven Lehotay. Fast Analysis of Pesticide Residues in Agricultural Products. United States Department of Agriculture, November 2002. http://dx.doi.org/10.32747/2002.7695851.bard.
Повний текст джерела