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Статті в журналах з теми "Human Performance Optimization"
Deuster, Patricia A., and Francis G. OʼConnor. "Human Performance Optimization." Journal of Strength and Conditioning Research 29 (November 2015): S52—S56. http://dx.doi.org/10.1519/jsc.0000000000001118.
Повний текст джерелаNindl, Bradley C., Dianna P. Jaffin, Michael N. Dretsch, Samuel N. Cheuvront, Nancy J. Wesensten, Michael L. Kent, Neil E. Grunberg, et al. "Human Performance Optimization Metrics." Journal of Strength and Conditioning Research 29 (November 2015): S221—S245. http://dx.doi.org/10.1519/jsc.0000000000001114.
Повний текст джерелаHatfield, Bradley D., Calvin M. Lu, and Jo B. Zimmerman. "Optimization of Human Performance." Kinesiology Review 9, no. 1 (February 1, 2020): 1–3. http://dx.doi.org/10.1123/kr.2019-0065.
Повний текст джерелаAustin, Krista G., and Patricia A. Deuster. "Monitoring Training for Human Performance Optimization." Journal of Special Operations Medicine 15, no. 2 (2015): 102. http://dx.doi.org/10.55460/evu4-w8lw.
Повний текст джерелаRussell, Adam, and Patricia A. Deuster. "Human Performance Optimization and Precision Performance: The Future of Special Operations Human Performance Efforts." Journal of Special Operations Medicine 17, no. 1 (2017): 80. http://dx.doi.org/10.55460/xfyj-equn.
Повний текст джерелаChi, Chia-Fen, and Colin Drury. "Limits to human optimization in inspection performance." International Journal of Systems Science 32, no. 6 (January 2001): 689–701. http://dx.doi.org/10.1080/00207720117646.
Повний текст джерелаSell, Timothy C., Robert H. Lutz, and Mallory S. Faherty. "The Warrior Model for Human Performance Optimization." Sports Medicine and Arthroscopy Review 27, no. 3 (September 2019): 99–106. http://dx.doi.org/10.1097/jsa.0000000000000248.
Повний текст джерелаXu, Yangsheng, Jingyan Song, Michael C. Nechyba, and Yeung Yam. "Performance evaluation and optimization of human control strategy." Robotics and Autonomous Systems 39, no. 1 (April 2002): 19–36. http://dx.doi.org/10.1016/s0921-8890(02)00169-0.
Повний текст джерелаZhang, Pinggai, Ling Wang, Jiaojie Du, Zixiang Fei, Song Ye, Minrui Fei, and Panos M. Pardalos. "Differential Human Learning Optimization Algorithm." Computational Intelligence and Neuroscience 2022 (April 30, 2022): 1–19. http://dx.doi.org/10.1155/2022/5699472.
Повний текст джерелаLiu, Hao, Gang Xu, Gui-yan Ding, and Yu-bo Sun. "Human Behavior-Based Particle Swarm Optimization." Scientific World Journal 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/194706.
Повний текст джерелаДисертації з теми "Human Performance Optimization"
Pranoto, Yudi. "Effects of Human Decision Bias in Supply Chain Performance." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7545.
Повний текст джерелаMarang, Ah Zau. "Analysis of web performance optimization and its impact on user experience." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231445.
Повний текст джерелаAnvändarupplevelse (UX) är idag en av de mest populära ämnena inom IT-branschen och spelar en viktig roll i affärsframgångar. Eftersom tillväxten av ett företag beror på kunder är det viktigt att betona på UX som kan bidra till att öka kundnöjdheten. Det har konstaterats att den övergripande slutanvändarupplevelsen i stor utsträckning påverkas av sidladdningstiden och att UX huvudsakligen är förknippad med applikationernas prestanda. I denna studie analyseras effektiviteten av optimeringstekniker och deras inverkan på användarupplevelse. Huvudsakligen, optimeringstekniker som användes i denna studie var cache-lösning, färre HTTP-förfrågningar, Web Workers och prioritering av innehåll. Profileringsmetoden "Manual Logging" användes för att mäta prestandaförbättringar. En enkätutvärdering som består av User Experience Questionnaire (UEQ) och tre kvalitativa frågor, genomfördes med fokus på användarupplevelsen före och efter prestandaförbättringar. Kvantitativa och kvalitativa metoder användes för att analysera insamlade data. Implementeringar och experiment i denna studie är baserade på ett befintligt verktyg, en webbaserad applikation. Utvärderingsresultatet visar en förbättring på 45% när det gäller sidladdningstid men ingen signifikant inverkan på användarupplevelsen efter prestandaförbättringar, vilket innebär att webbprestanda inte spelar någon roll för användarupplevelsen. Begränsning av optimeringstekniker och andra faktorer som påverkar prestationen hittades under studien.
Al, Khatib Sultan. "A comparative study of the relative performance and real-world suitability of optimization approaches for Human Resource Allocation." Thesis, University of East Anglia, 2018. https://ueaeprints.uea.ac.uk/68211/.
Повний текст джерелаDe, las Casas Zolezzi Humberto Jose. "Model-Free Optimization of Trajectory and Impedance Parameters on Exercise Robots with Applications to Human Performance and Rehabilitation." Cleveland State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=csu1625490714196286.
Повний текст джерелаLahiani, Nouha. "Méthode hybride d'affectation des ressources humaines pour l'amélioration de la performance de la maintenance." Thesis, Paris 8, 2015. http://www.theses.fr/2015PA080037.
Повний текст джерелаIn this thesis, a decision-making tool for maintenance management process based on assignment ofhuman resources is proposed in order to improve maintenance performance. An optimal maintenanceperformance is indispensable to guarantee the productivity and competitiveness of manufacturingcompanies.The proposed approach provides a framework of different possible levers to measure, evaluate,improve and optimize the maintenance performance. The assignment of human resources problem isconsidered. It takes into account different constraints like human resources availability, competences,urgency degree management of interventions requests etc.The proposed method is based on a discrete event simulation model, providing a better presentation ofthe maintenance service and better comprehensive thanks to the performance indicators. To improveuntil optimize the model, a simulation-based Pareto optimization method is introduced. Optimizationmodule was coded on independent programs in order to provide an opportunity of control thesimulation based optimization process.The proposed simulation based optimization method find good solutions in a reasonable amount oftime. Applying this technique on an industrial case-study, we show that it is more effective indetecting real faults than existing alternatives. The approach can be extended to cover other domainsand other types of simulation models
Lefebvre, Mickael. "Gestion automatisée de l’énergie d’un avion de transport civil : application aux phases de descente et d’approche." Thesis, Toulouse, ISAE, 2012. http://www.theses.fr/2012ESAE0016.
Повний текст джерелаThe first year of thesis allowed to foreground two aspects of the energy management issue,namely the short term control and the long term control, respectively. The first issue was studied during the second year and ended with the proposition of a solution mixing both the airbrakes and engines. The second and last issue started with a preliminary study which consisted of computing an optimal slat/flap command sequence bringing the aircraft to theright energy level in approach while minimizing the use of engines and airbrakes. Then, this study was extended in order to take into account the regulation of engines and airbrakes aswell as vertical trajectory modification. Finally, this optimization-based solution has been integrated within an accurate real-time desktop simulator, tested with a human-machine interface, and then presented to flight test pilots for validation
Ramos, Calderón Antonio José. "Computational and accuracy benchmarking of simulation and system-theoretic models for production systems engineering." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19877.
Повний текст джерелаGomes, Alcindo Delgado. "Rentabilização de Capital Humano." Master's thesis, 2016. http://hdl.handle.net/10400.26/15044.
Повний текст джерелаThe Portuguese Naval Academy has an academic failure rate of around 64%. More than half of the admitted students do not finish the course. This project arises in order to understand the causes associated to the low performance, by analyzing the data of individuals from the beginning to the end of the course, to identify the characteristics (called variables) of individuals with higher and lower probability of success at the Naval Academy. Initially the data is studied graphically, where candidates are analyzed independently. Then the admitted students and the finalists are analyzed together to assess the behavior of the variables at the beginning and at the end of the courses. An increase of a weight of a variable in the group of finalists in relation to the group of admitted students is interpreted as an indicator of a good performance. It is also used a statistical analysis to evaluate the relationship between success and each variable in the group of the admitted student and also to validate the conclusions obtained from graphical analysis. The study indicates that individuals who enter the Naval Academy with better grades and individuals who found out about the application process over the internet have greater predisposition for success. On the other hand, individuals whose both parents are professionally active have less probability to succeed.
Книги з теми "Human Performance Optimization"
Matthews, Michael D., and David M. Schnyer, eds. Human Performance Optimization. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190455132.001.0001.
Повний текст джерелаMatthews, Michael D., and David M. Schnyer. Human Performance Optimization: The Science and Ethics of Enhancing Human Capabilities. Oxford University Press, Incorporated, 2019.
Знайти повний текст джерелаBi, Xiaojun, Brian Smith, Tom Ouyang, and Shumin Zhai. Soft Keyboard Performance Optimization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0006.
Повний текст джерелаMatthews, Michael D. Head Strong. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190870478.001.0001.
Повний текст джерелаЧастини книг з теми "Human Performance Optimization"
Gao, Shuo, Shuo Yan, Hang Zhao, and Arokia Nathan. "Performance Optimization." In Touch-Based Human-Machine Interaction, 109–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68948-3_5.
Повний текст джерелаConnaboy, Christopher, Matthew E. Darnell, Shawn Eagle, Caleb D. Johnson, and Bradley C. Nindl. "Emerging Concepts in Human Performance Optimization." In Return to Play in Football, 17–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-55713-6_2.
Повний текст джерелаWu, Xiaoli, Chengqi Xue, Feng Zhou, Linlin Wang, Weiwei Zhang, Tingting Zhang, and Ling Xia. "Optimization of Information Interaction Interface Based on Error-Cognition Mechanism." In Advances in Human Error, Reliability, Resilience, and Performance, 142–54. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20037-4_13.
Повний текст джерелаZhang, Cheng, Zhe Sun, Pingbo Tang, Shawn W. St. Germain, and Ronald Boring. "Simulation-Based Optimization of Resilient Communication Protocol for Nuclear Power Plant Outages." In Advances in Human Error, Reliability, Resilience, and Performance, 20–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60645-3_3.
Повний текст джерелаBlock, Joachim, and Stefan Pickl. "A Human Resource Model for Performance Optimization to Gain Competitive Advantage." In Operations Research Proceedings 2013, 43–48. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07001-8_7.
Повний текст джерелаMeghvansi, Mukesh Kumar, Richa Arya, N. K. Tripathi, Vijai Pal, and A. K. Goel. "Inoculum Optimization Strategies for Improving Performance of Anaerobic Biodigester: Current Trends and Future Perspectives." In Anaerobic Biodigesters for Human Waste Treatment, 233–48. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4921-0_12.
Повний текст джерелаMesseri, Costanza. "Enhancing the Quality of Human-Robot Cooperation Through the Optimization of Human Well-Being and Productivity." In Special Topics in Information Technology, 15–25. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_2.
Повний текст джерелаSanwal, Tanushree, and Puja Sareen. "Social Intelligence as a Tool for Human Performance Optimization During Post COVID 19: A Review." In Lecture Notes in Mechanical Engineering, 292–301. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9523-0_33.
Повний текст джерелаPérez-Blanco, C. D. "Navigating Deep Uncertainty in Complex Human–Water Systems." In Springer Climate, 169–78. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4_20.
Повний текст джерелаSharif, Muddsair, Charitha Buddhika Heendeniya, and Gero Lückemeyer. "ARaaS: Context-Aware Optimal Charging Distribution Using Deep Reinforcement Learning." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 199–209. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_12.
Повний текст джерелаТези доповідей конференцій з теми "Human Performance Optimization"
Colella, Fabio, Pedram Daee, Jussi Jokinen, Antti Oulasvirta, and Samuel Kaski. "Human Strategic Steering Improves Performance of Interactive Optimization." In UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3340631.3394883.
Повний текст джерелаMarler, Timothy, Kimberly Farrell, Joo Kim, Salam Rahmatalla, and Karim Abdel-Malek. "Vision Performance Measures for Optimization-Based Posture Prediction." In 2006 Digital Human Modeling for Design and Engineering Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2006. http://dx.doi.org/10.4271/2006-01-2334.
Повний текст джерелаZlatkin, Audrey, Costas Koufogazos, and Gwen Campbell. "Behavior-based performance optimization in military training environments." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002420.
Повний текст джерелаFaruqui, Nuruzzaman, and Mohammad Abu Yousuf. "Performance-accuracy Optimization of Face Detection in Human Machine Interaction." In 2019 5th International Conference on Advances in Electrical Engineering (ICAEE). IEEE, 2019. http://dx.doi.org/10.1109/icaee48663.2019.8975661.
Повний текст джерелаSavaş, Serkan, Nurettin Topaloğlu, Ömer Kazcı, and Pınar Nercis Koşar. "Performance Comparison of Carotid Artery Intima Media Thickness Classification by Deep Learning Methods." In International Congress on Human-Computer Interaction, Optimization and Robotic Applications. SETSCI, 2019. http://dx.doi.org/10.36287/setsci.4.5.025.
Повний текст джерелаAhmed, Ali Hameed, Saif H. Alrubaee, Hussein Kadhim Hasan, and Alaa Hamid Mohammed. "Energy Efficiency Performance For Next Generation Wireless Communications." In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2022. http://dx.doi.org/10.1109/hora55278.2022.9800054.
Повний текст джерелаTutuncu, Bilal. "Microstrip Antenna for 5G Communication: Design and Performance Analysis." In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2020. http://dx.doi.org/10.1109/hora49412.2020.9152855.
Повний текст джерелаAdegboye, Oluwatayomi Rereloluwa, and Ezgi Deniz Ulker. "A Quick Performance Assessment for Artificial Electric Field Algorithm." In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2022. http://dx.doi.org/10.1109/hora55278.2022.9799867.
Повний текст джерелаZhou, Dongdong, Xiaobing Chen, Chuangchuang Zhang, Shuxin Guo, Khadka Ashim, and Jianchu Lin. "Research on Topological Deformation of 3D Human Image Based on Laplace Optimization." In 2022 International Conference on High Performance Big Data and Intelligent Systems (HDIS). IEEE, 2022. http://dx.doi.org/10.1109/hdis56859.2022.9991706.
Повний текст джерелаKun-fa, Li, Chen Jing-chun, and Wang Yan-xi. "Big Data Informatization Applied to Optimization of Human Resource Performance Management." In the 2019 2nd International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3357292.3357302.
Повний текст джерелаЗвіти організацій з теми "Human Performance Optimization"
Al-Qadi, Imad, Egemen Okte, Aravind Ramakrishnan, Qingwen Zhou, and Watheq Sayeh. Truck Platooning on Flexible Pavements in Illinois. Illinois Center for Transportation, May 2021. http://dx.doi.org/10.36501/0197-9191/21-010.
Повний текст джерела